The aim of cognitive social simulation is to improve our understanding of the complex inter-play between factors that are spread across the cognitive, social and technological domains. This makes cognitive social simulation techniques particularly appealing as a means to undertake experiments into socially-distributed cognition. The current paper reports on the results of an ongoing effort to develop a cognitive social simulation capability that can be used to undertake studies into team cognition using the ACT-R cognitive architecture. The focus of the cognitive modeling effort associated with the development effort is a particular team-based problem solving task that forms part of the Experimental Laboratory for Investigating Collaboratio...
Understanding how collaborative groups accomplish their work is a complex undertaking, because group...
How can we facilitate human-robot teamwork? The teamwork literature has identified the need to know ...
Among researchers in multi-agent systems there has been growing interest in using intelligent agent...
The aim of cognitive social simulation is to improve our understanding of the complex inter-play bet...
Cognitive social simulation is a computer simulation technique that aims to improve our understandin...
Abstract—Cognitive social simulation is a computer simulation technique that aims to improve our und...
Cognitive social simulations, enabled by cognitive architectures (such as ACT-R), are particularly w...
This paper explores cognitively realistic social simula-tions by deploying the CLARION cognitive arc...
Multi-Agent Simulation (MAS) of organisations is a methodology that is adopted in this dissertation ...
Multi-Agent Simulation (MAS) of organisations is a methodology that is adopted in this dissertation ...
Multi-Agent Simulation (MAS) of organisations is a methodology that is adopted in this dissertation ...
This paper describes the relationship between the modes of social learning and level of team familia...
Recent efforts in the area of human-computer interaction have focused on the role of shared cognitio...
This paper presents a computational model developed to study the role of different modes of social l...
This paper concerns social learning modes and their effects on team performance. Social learning, su...
Understanding how collaborative groups accomplish their work is a complex undertaking, because group...
How can we facilitate human-robot teamwork? The teamwork literature has identified the need to know ...
Among researchers in multi-agent systems there has been growing interest in using intelligent agent...
The aim of cognitive social simulation is to improve our understanding of the complex inter-play bet...
Cognitive social simulation is a computer simulation technique that aims to improve our understandin...
Abstract—Cognitive social simulation is a computer simulation technique that aims to improve our und...
Cognitive social simulations, enabled by cognitive architectures (such as ACT-R), are particularly w...
This paper explores cognitively realistic social simula-tions by deploying the CLARION cognitive arc...
Multi-Agent Simulation (MAS) of organisations is a methodology that is adopted in this dissertation ...
Multi-Agent Simulation (MAS) of organisations is a methodology that is adopted in this dissertation ...
Multi-Agent Simulation (MAS) of organisations is a methodology that is adopted in this dissertation ...
This paper describes the relationship between the modes of social learning and level of team familia...
Recent efforts in the area of human-computer interaction have focused on the role of shared cognitio...
This paper presents a computational model developed to study the role of different modes of social l...
This paper concerns social learning modes and their effects on team performance. Social learning, su...
Understanding how collaborative groups accomplish their work is a complex undertaking, because group...
How can we facilitate human-robot teamwork? The teamwork literature has identified the need to know ...
Among researchers in multi-agent systems there has been growing interest in using intelligent agent...