Post on 18-Dec-2015
transcript
The International Technology Alliancein
Network and Information Sciences
ITA Annual Fall MeetingSeptember 2014
Socially-Distributed Cognition and Cognitive
Architectures: Towards an ACT-R-Based Cognitive
Social Simulation Capability
TA6/Project 4
Paul Smart, Yuqing Tang, Paul Stone, Katia Sycara, Stefano Bennati,
Christian Lebiere, David Mott, Dave Braines and Gavin Powell
Overview
support the use of ACT-R in cognitive social simulation experiments ACT-R CSSC
natural language processing
ACT-R UI Framework
perform experiments with human subjects to gather data for cognitive modelling
develop and experimentally validate cognitive models with respect to human performance data
ACT-R
Modular Architecture
Neurocognitive Grounding
Simulations make predictions about what brain regions will be activated during a task.
ACT-R modules provide support for perceptuo-motor control, mnenomic retrieval, goal representation and working memory.
Goal Module Declarative Module
Imaginal Module Vocal Module
Self Module Messaging Module
Language Module Web Module
Procedural Module
Matching Selection Execution
Messaging WebsiteTriplestore
Monitor Human Client
Results Viewer
Language Processor
ACT-
RAC
T-R/
CSSC
Apps
&Se
rvic
es
ELICIT Task (1)
ELICIT Experimental Laboratory for Investigating Collaboration,
Information Sharing and Trust.
Sponsored by the U.S. DoD Command and Control Research Program (CCRP).
Previously used to study the effect of organizational environments on performance using human teams and synthetic (non-cognitive) agents: used to explore the effect of different C2 approaches in the
context of the NATO NEC C2 Maturity Model (N2C2M2) – NATO SAS-065
ELICIT Task (2)
Language Processing (1)
ELICIT Factoids (NL) ACT-R Chunks
statement
object: OBJECTattribute: OBJECTvalue: OBJECTsource: INFO-SOURCE = SELFconfidence: NUMBER(0,100)
“There will be a suicide bomber attack at a school”
(isa statement object attack attribute is-suicide-bombing value yes)
(isa statement object school attribute is-involved value yes)
(isa statement object attack attribute is-attack-against-school value yes)
Language Processing (2)
ITA CE Store
CE Models
CE W
eb S
ervi
ce
ACT-R CSSC
Conversational Agent
(Task 4.3)
NLPAgent
(Task 4.2)
Extracted CE Extracted CE
ACT-R Chunks
Extracted CE
Syntactically constrained variants of natural language are particularly useful in situations where we want to support human participation in cognitive social
simulation experiments.
ACT-R UI Framework
ACT-R
JNI (JSON Network Interface)
Motor Speech Vision Audio Custom
ACT-R UI Framework
Environment
JSO
N M
essa
ges JSO
N M
essages Perc
eptu
al In
form
ation M
otor Information
Human Experimentation Platform
Intended to support the acquisition of behavioural data from human subjects.
Records actions that provide insight into cognitive function (e.g., attentional processing).
Resulting data can be used to inform the development of cognitive models.
Cognitive models are validated in terms of their correspondence to human performance data.
Summary
Aim: support the use of ACT-R in cognitive social simulation experiments run experiments based on human performance data
ACT-R CSSC: framework to support the use of ACT-R in cognitive social simulation
experiments applications and services – monitor application, results viewer, language
processing service ACT-R UI Framework:
supports the integration of ACT-R with external environments Human Experimentation:
human experimentation platform acquisition of human behavioural data for modelling and testing
Modelling and Experimentation: remainder of the work effort is focused on cognitive modelling and
experimental evaluation effect of information sharing on cognitive biases and collective performance