Download - A Behavioral Interpretation of Resilience and Antifragility

Vincenzo De Florio, INRIA, 14 Nov. 2014

A BehavioralInterpretation of Resilience

and Antifragility

Vincenzo De Florio / &

[email protected] This work is licensed under the Creative Commons Attribution-NoDerivatives 4.0 International

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ANTIFRAGILITY

RESILIENCE


RESILIENCE

BEHAVIOR


RESILIENCE

BEHAVIOR (SYSTEM, ENVIRONMENT)INTERPLAY b/w

IDENTITYPRESERVING


Behavioristic approach• Rosenblueth, Wiener, & Bigelow, “Behavior,

purpose and teleology”, Phi.Sci. 10 (1943!):• “Given any system relatively abstracted from its

environment for study, the behavioristic approach consists in the examination of the output of the system and of the relations of this output to the input. - By output is meant any change produced in the environment by the system . - By input, conversely, is meant any event external to the system that modifies this system in any manner.”


BehaviorPA

SSIV

E

AC

TIVE

RA

ND

OM

PUR

POSE

FUL

TELE

OLO

GIC

PREDICTIVE

System onlyreceives energy

from externalsource

System isthe source of the

output energy

behavior is not interpreted as

directed to a goal

A goal canbe identified

Distance fromthe goal steersthe behavior

Distance frompredicted position

of goal steersthe behavior


Behavior classes

• From a systemic point of view:• Passive < active;

random < purposeful < teleological < predictive .


Resilient behaviors

• Active behavior intended to retain the system identity• Aristotelian Entelechy!

"Being at work while staying the same"


Resilient behaviors

• Active behavior, thus 1. only purposeful2. only teleological3. predictive


Resilient, only-purposeful behavior

• ELASTICITY“The ability of a body that has been subjected to an external force to recover its size and shape, following deformation” (McGraw-Hill, 2003)

• No “advanced” behavior; system just makes use of its internal characteristics and resources so as to mask the action of external forces

→ Redundancy-based.


Resilient, teleological & predictive behaviors

• ENTELECHISM• System is able to exert teleological or

predictive behaviors; it continuously adjusts its functions to compensate for changes

• so as to persist one's “identity”• IDENTITY: a system's

peculiar and distinctive functional and non-functional features


Identity• Ability to "comply to one’s definition"• Related to fidelity: "compliance

between corresponding figures of interest in two separate but communicating domains"

• More in "Antifragility = Elasticity + Resilience + Machine Learning. Models and Algorithms for Open System Fidelity", http://goo.gl/VvtXRt


Resilient behaviors (cont.d)

• Active behavior, thus 1. only purposeful2. only teleological3. predictive4. Auto-predictive

& evolving

ELASTICITY

ENTELECHISM

ANTIFRAGI-LITY


Computational Antifragility• Behavior of a system that –predicts future sys-env fit – learns from the past & evolves

• "Being-at-work while improving-the-self"• System does not stay the same:

The feedback changes the "self"• Resilience + machine learning

(see cited paper)


RESILIENCE

BEHAVIOR (SYSTEM, ENVIRONMENT)INTERPLAY b/w

IDENTITYPRESERVING

ANTIFRAGILITY


Resilience: Interplay(S, E)

RESPONSE:PURPOSEFUL,NON-TELEO-LOGIC BEHA-

VIORS

INPUT:RANDOM

BEHAVIORS

SYSTEMENVIRONMENT

Better not to be too clever in the face of aturbulent environment!



RESPONSE:> PURPOSEFUL

BEHAVIORS

INPUT:PURPOSEFUL

NON-TELEOLOGICBEHAVIORS

SYSTEMENVIRONMENT



RESPONSE:> TELEOLOGIC/

PREDICTIVE BEHAVIORS

INPUT:TELEOLOGIC /PREDICTIVEBEHAVIORS

SYSTEMENVIRONMENT


"Behavioral" Game Theory

Passive Random Purposeful Teleologic Predictive Antifragile

Passive ?,? -1,1 -1,1 -1,1 -1,1 -1,1

Random 1,-1 ?,? -1,1 -1,1 -1,1 -1,1 (*)

Purposeful 1,-1 1,-1 ?,? -1,1 -1,1 -1,1

Teleologic 1,-1 -1,1 1,-1 ?,? -1,1 -1,1

Predictive 1,-1 -1,1 1,-1 1,-1 ?,? -1,1

Antifragile 1,-1 1,-1 (*) 1,-1 1,-1 1,-1 ?,?

(*): if a player can learn that the other one is behaving randomly

ENVIRONMENT

SYST

EM


Antifragility

• Conjecture: antifragility is (also) the ability to be "auto-resilient":–Monitor/Analyze/Learn the behaviors of the

"opponent"– Adjust one's behavior so as to maximize the

chances to "win"– Learn from mistakes and successes


...Monitor/Analyze "the opponent"...

• Requirement: a model of the risk• The dynamic drifting of the risk as an

indication of the behaviorial class of E• Conjecture: the stability of the risk drifting

reveals aspects of E's behavior


Conclusions

PASS

IVE

AC

TIVE

RA

ND

OM

PUR

POSE

FUL

TELE

OLO

GIC

PRED

ICTI

VE

System isthe source of the

output energy

A goal canbe identified

Distance frompredicted position

of goal steersthe behavior

ANTI-FRA-GILE

Social behaviorInterplay-aware

Feedback modifies"self"


Conclusions

• Untrodden territory! Much yet to be done

• Urgent requirement!


Conclusions

• ANTIFRAGILE 2015: http://goo.gl/4xJW69

• ERACLIOS: "Elasticity, Resilie-nce, Antifragility in CoLlective & Individual Objects and Systems" http://eraclios.blogspot.be/

• LinkedIn group "Computational Antifragility". http://goo.gl/1N0XB1


Please contact me for questions &

further [email protected]