+ All Categories
Home > Documents > Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier...

Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier...

Date post: 21-Feb-2020
Category:
Upload: others
View: 2 times
Download: 0 times
Share this document with a friend
90
Introduction Definitions and model Results and Discussion Future plans Systèmes non linéaires et Improvisation Collective Libre Clément Canonne & Nicolas Garnier Centre Georges Chevrier, Université de Bourgogne, France Laboratoire de Physique de l’ENS de Lyon, CNRS UMR 5672, Université de Lyon, France IXXI vendredi 13 avril 2012 C. Canonne, N. Garnier Improvisation Collective Libre
Transcript
Page 1: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Systèmes non linéaireset Improvisation Collective Libre

Clément Canonne & Nicolas Garnier

Centre Georges Chevrier, Université de Bourgogne, FranceLaboratoire de Physique de l’ENS de Lyon, CNRS UMR 5672, Université de Lyon, France

IXXI

vendredi 13 avril 2012

C. Canonne, N. Garnier Improvisation Collective Libre

Page 2: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Outline

1 Introduction

2 Definitions and modelTime scalesSignal and informationSignal and intentionObjective

3 Results and DiscussionCollective sequencesContributing factors to CFI’s structuring in collectivesequences

4 Future plans

C. Canonne, N. Garnier Improvisation Collective Libre

Page 3: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Definition

Collective Free Improvisation (CFI) is a musical phenomenonproduced by at least two persons improvising simultaneously andfreely, i.e. trying to leave undecided every compositional aspectsuntil the very moment of the performance.

- free vs "referent-based" improvisation

- No pre-commitment in CFI

- 2 time scales

C. Canonne, N. Garnier Improvisation Collective Libre

Page 4: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Definition

Collective Free Improvisation (CFI) is a musical phenomenonproduced by at least two persons improvising simultaneously andfreely, i.e. trying to leave undecided every compositional aspectsuntil the very moment of the performance.

- free vs "referent-based" improvisation

- No pre-commitment in CFI

- 2 time scales

C. Canonne, N. Garnier Improvisation Collective Libre

Page 5: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Definition

Collective Free Improvisation (CFI) is a musical phenomenonproduced by at least two persons improvising simultaneously andfreely, i.e. trying to leave undecided every compositional aspectsuntil the very moment of the performance.

- free vs "referent-based" improvisation

- No pre-commitment in CFI

- 2 time scales

C. Canonne, N. Garnier Improvisation Collective Libre

Page 6: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Definition

Collective Free Improvisation (CFI) is a musical phenomenonproduced by at least two persons improvising simultaneously andfreely, i.e. trying to leave undecided every compositional aspectsuntil the very moment of the performance.

- free vs "referent-based" improvisation

- No pre-commitment in CFI

- 2 time scales

C. Canonne, N. Garnier Improvisation Collective Libre

Page 7: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Free Improvisation, features

∃ automatized behaviors on a short time scale(embodied patterns and learned gestures are present),

∃ "relaxation time",

→ this defines the "cluster of event"

⇒ free improvisation 6= "pure" improvisation, i.e.instantaneous ex nihilo creation.

C. Canonne, N. Garnier Improvisation Collective Libre

Page 8: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Free Improvisation, features

∃ automatized behaviors on a short time scale(embodied patterns and learned gestures are present),∃ "relaxation time",

→ this defines the "cluster of event"

⇒ free improvisation 6= "pure" improvisation, i.e.instantaneous ex nihilo creation.

C. Canonne, N. Garnier Improvisation Collective Libre

Page 9: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Free Improvisation, features

∃ automatized behaviors on a short time scale(embodied patterns and learned gestures are present),∃ "relaxation time",

→ this defines the "cluster of event"

⇒ free improvisation 6= "pure" improvisation, i.e.instantaneous ex nihilo creation.

C. Canonne, N. Garnier Improvisation Collective Libre

Page 10: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Free Improvisation : referent-free

Free Improvisation can be defined as a referent-free improvisation.

According to Pressing, a referent is an underlying formal scheme orguiding image specific to a given piece, used by the improviser tofacilitate the generation and editing of improvised behavior on anintermediate time scale.

In CFI, as opposed to referent-based improvisation (likestraightforward jazz), there is no founding act (like the commonchoice of a standard) that confers a given set of musical orextra-musical data the status of common knowledge in a group.

Pressing, J.: Cognitive Processes in Improvisation. In: Crozier, W. R., Chapman, A. (eds.) Cognitive

Processes in the Perception of Art, pp. 345-363. Elsevier, Amsterdam (1984)

C. Canonne, N. Garnier Improvisation Collective Libre

Page 11: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Free Improvisation : referent-free

Free Improvisation can be defined as a referent-free improvisation.

According to Pressing, a referent is an underlying formal scheme orguiding image specific to a given piece, used by the improviser tofacilitate the generation and editing of improvised behavior on anintermediate time scale.

In CFI, as opposed to referent-based improvisation (likestraightforward jazz), there is no founding act (like the commonchoice of a standard) that confers a given set of musical orextra-musical data the status of common knowledge in a group.

Pressing, J.: Cognitive Processes in Improvisation. In: Crozier, W. R., Chapman, A. (eds.) Cognitive

Processes in the Perception of Art, pp. 345-363. Elsevier, Amsterdam (1984)

C. Canonne, N. Garnier Improvisation Collective Libre

Page 12: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Free Improvisation : no pre-commitment

FI can include idiomatic borrowings: a given CFI can sound, attimes, as a be-bop piece (with swing articulation, chords, tonalprogression) or as a meditation on a raga (with a scale and aspecific ornamentation).

But a free improviser has no pre-commitment (Elster 2000) whenthe performance begins. His production is of course determined byseveral self-imposed restrictions, even stylistic restrictions, but hecan modify these restrictions at any time.

Elster, J. Ulysses Unbound: Studies in Rationality, Precommitment and Constraints, Cambridge,

Cambridge University Press (2000)

C. Canonne, N. Garnier Improvisation Collective Libre

Page 13: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Free Improvisation : no pre-commitment

FI can include idiomatic borrowings: a given CFI can sound, attimes, as a be-bop piece (with swing articulation, chords, tonalprogression) or as a meditation on a raga (with a scale and aspecific ornamentation).

But a free improviser has no pre-commitment (Elster 2000) whenthe performance begins. His production is of course determined byseveral self-imposed restrictions, even stylistic restrictions, but hecan modify these restrictions at any time.

Elster, J. Ulysses Unbound: Studies in Rationality, Precommitment and Constraints, Cambridge,

Cambridge University Press (2000)

C. Canonne, N. Garnier Improvisation Collective Libre

Page 14: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

CFI’s challenges

- FI ⇒ the generation of musical signal on an intermediate timescale is not regulated. The formal unfolding is thus totallyundetermined.

- CFI ⇒ improvisers’ musical coordination is not regulated and freeimprovisers’ simultaneous production is much more difficult tocontrol than in referent-based improvisation. The fact that the wayimprovisers interact in CFI is not predetermined (roles and places inthe ensemble can be redefined by anyone at anytime) makes it evenharder.

- How can a collective structure emerge from CFI?

⇒ Model

C. Canonne, N. Garnier Improvisation Collective Libre

Page 15: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

CFI’s challenges

- FI ⇒ the generation of musical signal on an intermediate timescale is not regulated. The formal unfolding is thus totallyundetermined.

- CFI ⇒ improvisers’ musical coordination is not regulated and freeimprovisers’ simultaneous production is much more difficult tocontrol than in referent-based improvisation. The fact that the wayimprovisers interact in CFI is not predetermined (roles and places inthe ensemble can be redefined by anyone at anytime) makes it evenharder.

- How can a collective structure emerge from CFI?

⇒ Model

C. Canonne, N. Garnier Improvisation Collective Libre

Page 16: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

CFI’s challenges

- FI ⇒ the generation of musical signal on an intermediate timescale is not regulated. The formal unfolding is thus totallyundetermined.

- CFI ⇒ improvisers’ musical coordination is not regulated and freeimprovisers’ simultaneous production is much more difficult tocontrol than in referent-based improvisation. The fact that the wayimprovisers interact in CFI is not predetermined (roles and places inthe ensemble can be redefined by anyone at anytime) makes it evenharder.

- How can a collective structure emerge from CFI?

⇒ Model

C. Canonne, N. Garnier Improvisation Collective Libre

Page 17: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Time scales

shortest time scale : the scale of the musical or acousticalsignal (not explicitly used in our model).

short time scale τs (∼ seconds) : the scale of the "clusters ofevents" (gestures).

long time scale τl (∼ minutes) : the scale of the "sequences".

total length of the improvisation piece. Fixed in our model.

C. Canonne, N. Garnier Improvisation Collective Libre

Page 18: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Time scales

shortest time scale : the scale of the musical or acousticalsignal (not explicitly used in our model).

short time scale τs (∼ seconds) : the scale of the "clusters ofevents" (gestures).

long time scale τl (∼ minutes) : the scale of the "sequences".

total length of the improvisation piece. Fixed in our model.

C. Canonne, N. Garnier Improvisation Collective Libre

Page 19: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Time scales

shortest time scale : the scale of the musical or acousticalsignal (not explicitly used in our model).

short time scale τs (∼ seconds) : the scale of the "clusters ofevents" (gestures).

long time scale τl (∼ minutes) : the scale of the "sequences".

total length of the improvisation piece. Fixed in our model.

C. Canonne, N. Garnier Improvisation Collective Libre

Page 20: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Time scales

shortest time scale : the scale of the musical or acousticalsignal (not explicitly used in our model).

short time scale τs (∼ seconds) : the scale of the "clusters ofevents" (gestures).

long time scale τl (∼ minutes) : the scale of the "sequences".

total length of the improvisation piece. Fixed in our model.

C. Canonne, N. Garnier Improvisation Collective Libre

Page 21: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Times scales

time scalescluster

of events sequenceimprovisation

pieceacousticaldescription

severalseconds

minute severalminutes

fraction ofa second

τs

τl

C. Canonne, N. Garnier Improvisation Collective Libre

Page 22: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

The cluster of events

A cluster is a cognitive chunk that gathers a set of musical,acoustical, kinetical events that were decided at the same point intime; it can be pictured as the subsequent execution of amicro-plan, over its duration of the order τs .

τs is a short time, of the order of seconds. It is short because of theagent’s cognitive limitations.

Pressing, J.: Cognitive Processes in Improvisation. In: Crozier, W. R., Chapman, A. (eds.) Cognitive

Processes in the Perception of Art, pp. 345-363. Elsevier, Amsterdam (1984)

C. Canonne, N. Garnier Improvisation Collective Libre

Page 23: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

The sequence

A sequence is defined by a set of processes and/or a number offeatures (acoustical, kinetical, musical...) holding for a given length.Improvisers try to establish successive identities and stable points inmusical’s stream. These identities are then developed, played withor eventually negated, until new identities finally emerge.

The sequence is related to the long time scale τl .

Nunn, T.: Wisdom of the Impulse: On the Nature of Musical Improvisation,http://www20.brinkster.com/improarchive/tn.htm (1998)

Canonne, C.: L’improvisation Collective Libre: De l’Exigence de Coordination à la Recherche de Points

Focaux. Thèse de Doctorat en Musicologie de l’Université de Saint-Etienne (2010)

C. Canonne, N. Garnier Improvisation Collective Libre

Page 24: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Signal and information

N : number of musicians,

xk(t) : temporal signal of musician k (1 ≤ k ≤ N),~x(t) = (x1(t), ..., xN(t)) : set of signals produced at a given time t.

I k : information delivered by musician k :

I k = I ks + I k

d with I ks =

12

(xk)2 and I kd =

12τ2i

(dxk

dt

)2

I : total information seen by any musician of the group

I =∑k

I k =12‖~x‖2 +

12τ2i

∥∥∥∥d~xdt

∥∥∥∥2

C. Canonne, N. Garnier Improvisation Collective Libre

Page 25: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Signal and information

N : number of musicians,xk(t) : temporal signal of musician k (1 ≤ k ≤ N),

~x(t) = (x1(t), ..., xN(t)) : set of signals produced at a given time t.

I k : information delivered by musician k :

I k = I ks + I k

d with I ks =

12

(xk)2 and I kd =

12τ2i

(dxk

dt

)2

I : total information seen by any musician of the group

I =∑k

I k =12‖~x‖2 +

12τ2i

∥∥∥∥d~xdt

∥∥∥∥2

C. Canonne, N. Garnier Improvisation Collective Libre

Page 26: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Signal and information

N : number of musicians,xk(t) : temporal signal of musician k (1 ≤ k ≤ N),~x(t) = (x1(t), ..., xN(t)) : set of signals produced at a given time t.

I k : information delivered by musician k :

I k = I ks + I k

d with I ks =

12

(xk)2 and I kd =

12τ2i

(dxk

dt

)2

I : total information seen by any musician of the group

I =∑k

I k =12‖~x‖2 +

12τ2i

∥∥∥∥d~xdt

∥∥∥∥2

C. Canonne, N. Garnier Improvisation Collective Libre

Page 27: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Signal and information

N : number of musicians,xk(t) : temporal signal of musician k (1 ≤ k ≤ N),~x(t) = (x1(t), ..., xN(t)) : set of signals produced at a given time t.

I k : information delivered by musician k :

I k = I ks + I k

d with I ks =

12

(xk)2 and I kd =

12τ2i

(dxk

dt

)2

I : total information seen by any musician of the group

I =∑k

I k =12‖~x‖2 +

12τ2i

∥∥∥∥d~xdt

∥∥∥∥2

C. Canonne, N. Garnier Improvisation Collective Libre

Page 28: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Signal and information

N : number of musicians,xk(t) : temporal signal of musician k (1 ≤ k ≤ N),~x(t) = (x1(t), ..., xN(t)) : set of signals produced at a given time t.

I k : information delivered by musician k :

I k = I ks + I k

d with I ks =

12

(xk)2 and I kd =

12τ2i

(dxk

dt

)2

I : total information seen by any musician of the group

I =∑k

I k =12‖~x‖2 +

12τ2i

∥∥∥∥d~xdt

∥∥∥∥2

C. Canonne, N. Garnier Improvisation Collective Libre

Page 29: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Intention

ωk = ideal signal that the musician would like to deliver.

The intention is a priori more complex than the signal produced,because it contains information that the musician may not be ableto actually play.

xk = g(ωk) (projection)

Here, we choose g = Identity.

C. Canonne, N. Garnier Improvisation Collective Libre

Page 30: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Intention

ωk = ideal signal that the musician would like to deliver.

The intention is a priori more complex than the signal produced,because it contains information that the musician may not be ableto actually play.

xk = g(ωk) (projection)

Here, we choose g = Identity.

C. Canonne, N. Garnier Improvisation Collective Libre

Page 31: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Intention

ωk = ideal signal that the musician would like to deliver.

The intention is a priori more complex than the signal produced,because it contains information that the musician may not be ableto actually play.

xk = g(ωk) (projection)

Here, we choose g = Identity.

C. Canonne, N. Garnier Improvisation Collective Libre

Page 32: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Intention

ωk = ideal signal that the musician would like to deliver.

The intention is a priori more complex than the signal produced,because it contains information that the musician may not be ableto actually play.

xk = g(ωk) (projection)

Here, we choose g = Identity.

C. Canonne, N. Garnier Improvisation Collective Libre

Page 33: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Intention

ωk evolves continuously on the short time scale τs .

xk is constant during a cluster of events (of the order of τs).Duration of a cluster of events :

dkn = τs − a(xk

n )2

where a > 0 is a constant.Clusters of events are shorter when the signal is large, i.e. containsmore information.

C. Canonne, N. Garnier Improvisation Collective Libre

Page 34: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Intention

ωk evolves continuously on the short time scale τs .xk is constant during a cluster of events (of the order of τs).

Duration of a cluster of events :

dkn = τs − a(xk

n )2

where a > 0 is a constant.Clusters of events are shorter when the signal is large, i.e. containsmore information.

C. Canonne, N. Garnier Improvisation Collective Libre

Page 35: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Intention

ωk evolves continuously on the short time scale τs .xk is constant during a cluster of events (of the order of τs).Duration of a cluster of events :

dkn = τs − a(xk

n )2

where a > 0 is a constant.

Clusters of events are shorter when the signal is large, i.e. containsmore information.

C. Canonne, N. Garnier Improvisation Collective Libre

Page 36: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Intention

ωk evolves continuously on the short time scale τs .xk is constant during a cluster of events (of the order of τs).Duration of a cluster of events :

dkn = τs − a(xk

n )2

where a > 0 is a constant.Clusters of events are shorter when the signal is large, i.e. containsmore information.

C. Canonne, N. Garnier Improvisation Collective Libre

Page 37: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Illustration

C. Canonne, N. Garnier Improvisation Collective Libre

Page 38: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Intention’s dynamics

τsdωk

dt= αkxk +

∑l 6=k

βk,lx l − h‖ωk‖2ωk

Landau equation with h = 1 > 0.

Solutions vary on time scale τs

αk > 0 : "self-sensitivity"

βk,l : interactionsβk,l are of order 1, they can have any sign or vanish.

C. Canonne, N. Garnier Improvisation Collective Libre

Page 39: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Intention’s dynamics

τsdωk

dt= αkxk +

∑l 6=k

βk,lx l − h‖ωk‖2ωk

Landau equation with h = 1 > 0.

Solutions vary on time scale τs

αk > 0 : "self-sensitivity"

βk,l : interactionsβk,l are of order 1, they can have any sign or vanish.

C. Canonne, N. Garnier Improvisation Collective Libre

Page 40: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Intention’s dynamics

τsdωk

dt= αkxk +

∑l 6=k

βk,lx l − h‖ωk‖2ωk

Landau equation with h = 1 > 0.

Solutions vary on time scale τs

αk > 0 : "self-sensitivity"

βk,l : interactionsβk,l are of order 1, they can have any sign or vanish.

C. Canonne, N. Garnier Improvisation Collective Libre

Page 41: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Intention’s dynamics

τsdωk

dt= αkxk +

∑l 6=k

βk,lx l − h‖ωk‖2ωk

Landau equation with h = 1 > 0.

Solutions vary on time scale τs

αk > 0 : "self-sensitivity"

βk,l : interactionsβk,l are of order 1, they can have any sign or vanish.

C. Canonne, N. Garnier Improvisation Collective Libre

Page 42: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Intention’s dynamics

τsdωk

dt= αkxk +

∑l 6=k

βk,lx l − h‖ωk‖2ωk

Landau equation with h = 1 > 0.

Solutions vary on time scale τs

αk > 0 : "self-sensitivity"

βk,l : interactionsβk,l are of order 1, they can have any sign or vanish.

C. Canonne, N. Garnier Improvisation Collective Libre

Page 43: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Intention’s dynamics

~Ωk = (αk , βk,ll 6=k) = objective of the musician k

"control parameter"

objective evolves in time with a specific dynamics, on the long timescale τl .

We choose a discrete dynamics, and any change in the objective ofa musician defines a new sequence for this musician. This dynamicsrequires the introduction of the cognitive load and the boreness.

C. Canonne, N. Garnier Improvisation Collective Libre

Page 44: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Intention’s dynamics

~Ωk = (αk , βk,ll 6=k) = objective of the musician k

"control parameter"

objective evolves in time with a specific dynamics, on the long timescale τl .

We choose a discrete dynamics, and any change in the objective ofa musician defines a new sequence for this musician. This dynamicsrequires the introduction of the cognitive load and the boreness.

C. Canonne, N. Garnier Improvisation Collective Libre

Page 45: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Intention’s dynamics

~Ωk = (αk , βk,ll 6=k) = objective of the musician k

"control parameter"

objective evolves in time with a specific dynamics, on the long timescale τl .

We choose a discrete dynamics, and any change in the objective ofa musician defines a new sequence for this musician. This dynamicsrequires the introduction of the cognitive load and the boreness.

C. Canonne, N. Garnier Improvisation Collective Libre

Page 46: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Intention’s dynamics

~Ωk = (αk , βk,ll 6=k) = objective of the musician k

"control parameter"

objective evolves in time with a specific dynamics, on the long timescale τl .

We choose a discrete dynamics, and any change in the objective ofa musician defines a new sequence for this musician. This dynamicsrequires the introduction of the cognitive load and the boreness.

C. Canonne, N. Garnier Improvisation Collective Libre

Page 47: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Intention’s dynamics

couplings are non-symmetrical : βk,l 6= βl ,k .

if βk,l ' 1, then ωk tends to x l . Player k is willing to imitateplayer l : "imitation".

if βk,l ' −1, then ωk tends to -x l . Player k is willing to havea signal opposite from signal of player l : "contrast".if βk,l ' 0, then player k is not paying any attention to thesignal from player l : "independency".

C. Canonne, N. Garnier Improvisation Collective Libre

Page 48: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Intention’s dynamics

couplings are non-symmetrical : βk,l 6= βl ,k .

if βk,l ' 1, then ωk tends to x l . Player k is willing to imitateplayer l : "imitation".if βk,l ' −1, then ωk tends to -x l . Player k is willing to havea signal opposite from signal of player l : "contrast".

if βk,l ' 0, then player k is not paying any attention to thesignal from player l : "independency".

C. Canonne, N. Garnier Improvisation Collective Libre

Page 49: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Intention’s dynamics

couplings are non-symmetrical : βk,l 6= βl ,k .

if βk,l ' 1, then ωk tends to x l . Player k is willing to imitateplayer l : "imitation".if βk,l ' −1, then ωk tends to -x l . Player k is willing to havea signal opposite from signal of player l : "contrast".if βk,l ' 0, then player k is not paying any attention to thesignal from player l : "independency".

C. Canonne, N. Garnier Improvisation Collective Libre

Page 50: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Cognitive load

Total cognitive load of musician k : C k = C kmonitor + C k

prod ≤ C kmax

representing the maximal cognitive capacity of the musician k .

Musician’s attention is shared between two tasks:

monitoring other musicians’ signals:

C kmonitor =

12

(αkxk

)2+∑l 6=k

12

(βk,lx l

)2=

12

∥∥∥~Ωk .~x∥∥∥2

.

generating his own signal

C kprod =

12

(ak)2I ks =

12

(akxk)2

C. Canonne, N. Garnier Improvisation Collective Libre

Page 51: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Boreness

When a sequence is lasting too long, the musician gets bored andultimately breaks it.

- define bk(t) boreness of musician k

dbk

dt= C k , initial condition : bk = 0 at t = 0

- we define a max value bkmax = τl

3τc C kmax ,

- ⇒ change of objective and ⇒ change of (individual) sequence.

C. Canonne, N. Garnier Improvisation Collective Libre

Page 52: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Boreness

When a sequence is lasting too long, the musician gets bored andultimately breaks it.- define bk(t) boreness of musician k

dbk

dt= C k , initial condition : bk = 0 at t = 0

- we define a max value bkmax = τl

3τc C kmax ,

- ⇒ change of objective and ⇒ change of (individual) sequence.

C. Canonne, N. Garnier Improvisation Collective Libre

Page 53: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Boreness

When a sequence is lasting too long, the musician gets bored andultimately breaks it.- define bk(t) boreness of musician k

dbk

dt= C k , initial condition : bk = 0 at t = 0

- we define a max value bkmax = τl

3τc C kmax ,

- ⇒ change of objective and ⇒ change of (individual) sequence.

C. Canonne, N. Garnier Improvisation Collective Libre

Page 54: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Boreness

When a sequence is lasting too long, the musician gets bored andultimately breaks it.- define bk(t) boreness of musician k

dbk

dt= C k , initial condition : bk = 0 at t = 0

- we define a max value bkmax = τl

3τc C kmax ,

- ⇒ change of objective and ⇒ change of (individual) sequence.

C. Canonne, N. Garnier Improvisation Collective Libre

Page 55: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Boreness : example

C. Canonne, N. Garnier Improvisation Collective Libre

Page 56: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Objective’s dynamic

Objective remains constant as long as bk(t) < bkmax.

When bk > bkmax, we choose a new objective

such that the cognitive charge remains bounded C k < C kmax

We also decide to project ωk into xk at the very same time

C. Canonne, N. Garnier Improvisation Collective Libre

Page 57: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Objective’s dynamic

Objective remains constant as long as bk(t) < bkmax.

When bk > bkmax, we choose a new objective

such that the cognitive charge remains bounded C k < C kmax

We also decide to project ωk into xk at the very same time

C. Canonne, N. Garnier Improvisation Collective Libre

Page 58: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Time scalesSignal and informationSignal and intentionObjective

Objective’s dynamic

Objective remains constant as long as bk(t) < bkmax.

When bk > bkmax, we choose a new objective

such that the cognitive charge remains bounded C k < C kmax

We also decide to project ωk into xk at the very same time

C. Canonne, N. Garnier Improvisation Collective Libre

Page 59: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Collective sequencesContributing factors to CFI’s structuring in collective sequences

Collective sequences

aim : probe and quantify coordination efficiency in the group.

collective sequence = a time frame during which each improvisermaintain a relative musical identity (i.e. his intention stays more orless constant).

collective sequences 6= individual sequences.

If we find a lot of collective sequences, and if collective sequencesare long enough, we will say that coordination amongst musiciansin the group is good. One of the main interest of this model is toshow the existence of collective sequences.

C. Canonne, N. Garnier Improvisation Collective Libre

Page 60: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Collective sequencesContributing factors to CFI’s structuring in collective sequences

Collective sequences

aim : probe and quantify coordination efficiency in the group.

collective sequence = a time frame during which each improvisermaintain a relative musical identity (i.e. his intention stays more orless constant).

collective sequences 6= individual sequences.

If we find a lot of collective sequences, and if collective sequencesare long enough, we will say that coordination amongst musiciansin the group is good. One of the main interest of this model is toshow the existence of collective sequences.

C. Canonne, N. Garnier Improvisation Collective Libre

Page 61: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Collective sequencesContributing factors to CFI’s structuring in collective sequences

Collective sequences

aim : probe and quantify coordination efficiency in the group.

collective sequence = a time frame during which each improvisermaintain a relative musical identity (i.e. his intention stays more orless constant).

collective sequences 6= individual sequences.

If we find a lot of collective sequences, and if collective sequencesare long enough, we will say that coordination amongst musiciansin the group is good. One of the main interest of this model is toshow the existence of collective sequences.

C. Canonne, N. Garnier Improvisation Collective Libre

Page 62: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Collective sequencesContributing factors to CFI’s structuring in collective sequences

Collective sequences

aim : probe and quantify coordination efficiency in the group.

collective sequence = a time frame during which each improvisermaintain a relative musical identity (i.e. his intention stays more orless constant).

collective sequences 6= individual sequences.

If we find a lot of collective sequences, and if collective sequencesare long enough, we will say that coordination amongst musiciansin the group is good. One of the main interest of this model is toshow the existence of collective sequences.

C. Canonne, N. Garnier Improvisation Collective Libre

Page 63: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Collective sequencesContributing factors to CFI’s structuring in collective sequences

Collective sequences

If all objectives are constant, we expect a collective sequence.This is not a necessary condition

0 50 100 150 200 250 300 350 400 450 500−1.5

−1

−0.5

0

0.5

1

1.5

time (s)

Inte

ntio

n ω

1 32

A B

C. Canonne, N. Garnier Improvisation Collective Libre

Page 64: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Collective sequencesContributing factors to CFI’s structuring in collective sequences

Mathematical solutions

Two types of local structure in our model of CFI:A stable solution which can be seen as a "collective sequence"(labelled 1,2,3); this corresponds to a fixed point in the phasespace of the system.An oscillating solution which can be seen as a phase ofdiscoordination among the musicians (labelled B); thiscorresponds to a limit cycle.

C. Canonne, N. Garnier Improvisation Collective Libre

Page 65: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Collective sequencesContributing factors to CFI’s structuring in collective sequences

Virtuosi

Virtuosi produce high-information signals at a lower cognitive cost.

Virtuosi = low value of ak .

0 100 200 300 400 500−1.5

−1

−0.5

0

0.5

1

1.5

time (s)

Inte

ntio

n ω

3 musicians,all with ak = 0.4

Although collective sequences still exist, they occur less often.

C. Canonne, N. Garnier Improvisation Collective Libre

Page 66: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Collective sequencesContributing factors to CFI’s structuring in collective sequences

Virtuosi

Virtuosi produce high-information signals at a lower cognitive cost.Virtuosi = low value of ak .

0 100 200 300 400 500−1.5

−1

−0.5

0

0.5

1

1.5

time (s)

Inte

ntio

n ω

3 musicians,all with ak = 0.4

Although collective sequences still exist, they occur less often.

C. Canonne, N. Garnier Improvisation Collective Libre

Page 67: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Collective sequencesContributing factors to CFI’s structuring in collective sequences

Virtuosi

Virtuosi produce high-information signals at a lower cognitive cost.Virtuosi = low value of ak .

0 100 200 300 400 500−1.5

−1

−0.5

0

0.5

1

1.5

time (s)

Inte

ntio

n ω

3 musicians,all with ak = 0.4

Although collective sequences still exist, they occur less often.

C. Canonne, N. Garnier Improvisation Collective Libre

Page 68: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Collective sequencesContributing factors to CFI’s structuring in collective sequences

Virtuosi

Virtuosi produce high-information signals at a lower cognitive cost.Virtuosi = low value of ak .

0 100 200 300 400 500−1.5

−1

−0.5

0

0.5

1

1.5

time (s)

Inte

ntio

n ω

3 musicians,all with ak = 0.4

Although collective sequences still exist, they occur less often.

C. Canonne, N. Garnier Improvisation Collective Libre

Page 69: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Collective sequencesContributing factors to CFI’s structuring in collective sequences

Leaders

Leaders have a superior cognitive capacity so they tend to getbored more slowly.

Leaders = larger value of C kmax

0 50 100 150 200 250 300 350 400 450 500−1.5

−1

−0.5

0

0.5

1

1.5

time (s)

Inte

ntio

n ω 3 virtuosi musicians

(ak = 0)with 1 leader(C k

max twice larger)

The existence of leaders enhance the organization of CFI incollective sequences

C. Canonne, N. Garnier Improvisation Collective Libre

Page 70: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Collective sequencesContributing factors to CFI’s structuring in collective sequences

Leaders

Leaders have a superior cognitive capacity so they tend to getbored more slowly.Leaders = larger value of C k

max

0 50 100 150 200 250 300 350 400 450 500−1.5

−1

−0.5

0

0.5

1

1.5

time (s)

Inte

ntio

n ω 3 virtuosi musicians

(ak = 0)with 1 leader(C k

max twice larger)

The existence of leaders enhance the organization of CFI incollective sequences

C. Canonne, N. Garnier Improvisation Collective Libre

Page 71: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Collective sequencesContributing factors to CFI’s structuring in collective sequences

Leaders

Leaders have a superior cognitive capacity so they tend to getbored more slowly.Leaders = larger value of C k

max

0 50 100 150 200 250 300 350 400 450 500−1.5

−1

−0.5

0

0.5

1

1.5

time (s)

Inte

ntio

n ω 3 virtuosi musicians

(ak = 0)with 1 leader(C k

max twice larger)

The existence of leaders enhance the organization of CFI incollective sequences

C. Canonne, N. Garnier Improvisation Collective Libre

Page 72: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Collective sequencesContributing factors to CFI’s structuring in collective sequences

Leaders

Leaders have a superior cognitive capacity so they tend to getbored more slowly.Leaders = larger value of C k

max

0 50 100 150 200 250 300 350 400 450 500−1.5

−1

−0.5

0

0.5

1

1.5

time (s)

Inte

ntio

n ω 3 virtuosi musicians

(ak = 0)with 1 leader(C k

max twice larger)

The existence of leaders enhance the organization of CFI incollective sequences

C. Canonne, N. Garnier Improvisation Collective Libre

Page 73: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Collective sequencesContributing factors to CFI’s structuring in collective sequences

Number of musicians

The fewer the musicians, the easier the collective organization:

0 100 200 300 400 500!1.5

!1

!0.5

0

0.5

1

1.5

2

time (s)

Inte

ntio

n !

5 musicians

C. Canonne, N. Garnier Improvisation Collective Libre

Page 74: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Collective sequencesContributing factors to CFI’s structuring in collective sequences

Emergence of sub-teams

In large groups of musicians, we allow our improvisers to seek forthe creation of sub-teams.This can be done in two different ways:

Improvisers look for symmetrical interactions:if A is in imitation with B, B will also try to imitate A,⇒ βk,l and βl ,k with same sign and same order of magnitude.improvisers interact with 1 or 2 specific musicians only.⇒ 2 non vanishing βk,l at most, for every musician k .

C. Canonne, N. Garnier Improvisation Collective Libre

Page 75: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Collective sequencesContributing factors to CFI’s structuring in collective sequences

Emergence of sub-teams

5 musicians (ak = 0.4) which tend to have symmetricalinteractions:

0 100 200 300 400 500!2

!1.5

!1

!0.5

0

0.5

1

1.5

2

time (s)

Inte

ntion !

C. Canonne, N. Garnier Improvisation Collective Libre

Page 76: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Collective sequencesContributing factors to CFI’s structuring in collective sequences

Emergence of sub-teams

5 virtuosi (ak = 0) with 1 leader.All improvisers are interacting with at most 2 other musicians.

0 100 200 300 400 500!2

!1.5

!1

!0.5

0

0.5

1

1.5

time (s)

Inte

ntio

n !

C. Canonne, N. Garnier Improvisation Collective Libre

Page 77: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Collective sequencesContributing factors to CFI’s structuring in collective sequences

Experiments

Paris, december 2011. 5 quartets, 1 trio, 1 duo.

Protocole :- improvise freely together for 10 minutes,- then (individually) suggest a segmentation of the improvisation insuccessive sequences.

C. Canonne, N. Garnier Improvisation Collective Libre

Page 78: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Collective sequencesContributing factors to CFI’s structuring in collective sequences

Experiments

Exemple : quatuor (session 2)!!

!"! #"! $%"! $&"! %'"! (""! (#"! '%"! '&"! )'"! #""! ##"!

*+,-.//012/!

3--1,4512!

6107!

*0821!9!

*0821!:!

$!%!(!'!)!#!;!&!<!$"!=!

C. Canonne, N. Garnier Improvisation Collective Libre

Page 79: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Future plans

successful in showing self-organization in CFI, despite theabsence of a priori structures.

influence of several features (virtuosity, leadership, team andsub-team reasoning...)quantify the effects of featuresrelax some assumptionsmore realistic dynamics for the objective, and possibleinclusion of a long-term memory,measure information from (realistic) signals ?

C. Canonne, N. Garnier Improvisation Collective Libre

Page 80: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Future plans

successful in showing self-organization in CFI, despite theabsence of a priori structures.influence of several features (virtuosity, leadership, team andsub-team reasoning...)

quantify the effects of featuresrelax some assumptionsmore realistic dynamics for the objective, and possibleinclusion of a long-term memory,measure information from (realistic) signals ?

C. Canonne, N. Garnier Improvisation Collective Libre

Page 81: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Future plans

successful in showing self-organization in CFI, despite theabsence of a priori structures.influence of several features (virtuosity, leadership, team andsub-team reasoning...)quantify the effects of features

relax some assumptionsmore realistic dynamics for the objective, and possibleinclusion of a long-term memory,measure information from (realistic) signals ?

C. Canonne, N. Garnier Improvisation Collective Libre

Page 82: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Future plans

successful in showing self-organization in CFI, despite theabsence of a priori structures.influence of several features (virtuosity, leadership, team andsub-team reasoning...)quantify the effects of featuresrelax some assumptions

more realistic dynamics for the objective, and possibleinclusion of a long-term memory,measure information from (realistic) signals ?

C. Canonne, N. Garnier Improvisation Collective Libre

Page 83: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Future plans

successful in showing self-organization in CFI, despite theabsence of a priori structures.influence of several features (virtuosity, leadership, team andsub-team reasoning...)quantify the effects of featuresrelax some assumptionsmore realistic dynamics for the objective, and possibleinclusion of a long-term memory,

measure information from (realistic) signals ?

C. Canonne, N. Garnier Improvisation Collective Libre

Page 84: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Future plans

successful in showing self-organization in CFI, despite theabsence of a priori structures.influence of several features (virtuosity, leadership, team andsub-team reasoning...)quantify the effects of featuresrelax some assumptionsmore realistic dynamics for the objective, and possibleinclusion of a long-term memory,measure information from (realistic) signals ?

C. Canonne, N. Garnier Improvisation Collective Libre

Page 85: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

IntroductionDefinitions and modelResults and Discussion

Future plans

Thank You

C. Canonne, N. Garnier Improvisation Collective Libre

Page 86: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

Bifurcations

τsdωk

dt= αkxk +

∑l 6=k

βk,lx l − h‖ωk‖2ωk

Assume N = 1, ω = x ,

dωdt

= αω − ‖ω‖2ω

C. Canonne, N. Garnier Improvisation Collective Libre

Page 87: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

Bifurcations

τsdωk

dt= αkxk +

∑l 6=k

βk,lx l − h‖ωk‖2ωk

Assume N = 1, ω = x ,

dωdt

= αω − ‖ω‖2ω

C. Canonne, N. Garnier Improvisation Collective Libre

Page 88: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

Bifurcations

τsdωk

dt= αkxk +

∑l 6=k

βk,lx l − h‖ωk‖2ωk

Assume N = 1, ω = x ,

dωdt

= αω − ‖ω‖2ω

C. Canonne, N. Garnier Improvisation Collective Libre

Page 89: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

Bifurcations

τsdωk

dt= αkxk +

∑l 6=k

βk,lx l − h‖ωk‖2ωk

Assume N = 1, ω = x ,

dωdt

= αω − ‖ω‖2ω

C. Canonne, N. Garnier Improvisation Collective Libre

Page 90: Systèmesnonlinéaires etImprovisationCollectiveLibre ClémentCanonne&NicolasGarnier ...perso.ens-lyon.fr/nicolas.garnier/files/CFI_IXXI_2012.pdf · 2012-04-13 · Introduction Definitionsandmodel

Experiments

pedal to record musicians’ "internal" sequence / idea changespedal to record "no idea" / "no identity"a posteriori decomposition of the improvisation piece by eachmusician

complexity and information from signal : direct measurement ?

C. Canonne, N. Garnier Improvisation Collective Libre


Recommended