The International Technology Alliance in Network and Information Sciences ITA Annual Fall Meeting September 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 MatchingSelectionExecution MessagingWebsiteTriplestore Monitor Human Client Results Viewer Language Processor ACT-R ACT-R/CSSC Apps & Services

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: OBJECT attribute: OBJECT value: OBJECT source: INFO-SOURCE = SELF confidence: 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 Web Service ACT-R CSSC Conversational Agent (Task 4.3) NLP Agent (Task 4.2) 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) MotorSpeechVisionAudioCustom ACT-R UI Framework Environment JSON Messages Perceptual Information Motor 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