TY - GEN
T1 - Decision as choice of potential intentions
AU - Fan, Xiaocong
PY - 2012/12/1
Y1 - 2012/12/1
N2 - Multi-agent systems research has been drawing innovative insights from other disciplines such as philosophy and cognitive science. While cognitive studies have shown that over 95% of human decisions conform to the recognition-primed decision making (RPD) model, there still lacks a formal mentalistic description of RPD, which has raised an interoperability issue when a team is formed from agents with different RPD implementations. The objective of this study is to establish a formal connection between agent mental attitudes and the meta-cognition concepts as used in RPD. We adopt the intentional attitudes as introduced in the Shared Plans theory to model the RPD process and its cognitive activities from teamwork perspective. Such a formal analysis helps to resolve the ambiguities in the original description of the RPD model, it also demonstrates a viable approach where connectionists could formally study meta-cognition concepts and team cognition concepts by agent-based modeling.
AB - Multi-agent systems research has been drawing innovative insights from other disciplines such as philosophy and cognitive science. While cognitive studies have shown that over 95% of human decisions conform to the recognition-primed decision making (RPD) model, there still lacks a formal mentalistic description of RPD, which has raised an interoperability issue when a team is formed from agents with different RPD implementations. The objective of this study is to establish a formal connection between agent mental attitudes and the meta-cognition concepts as used in RPD. We adopt the intentional attitudes as introduced in the Shared Plans theory to model the RPD process and its cognitive activities from teamwork perspective. Such a formal analysis helps to resolve the ambiguities in the original description of the RPD model, it also demonstrates a viable approach where connectionists could formally study meta-cognition concepts and team cognition concepts by agent-based modeling.
UR - http://www.scopus.com/inward/record.url?scp=84878442813&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84878442813&partnerID=8YFLogxK
U2 - 10.1109/WI-IAT.2012.44
DO - 10.1109/WI-IAT.2012.44
M3 - Conference contribution
AN - SCOPUS:84878442813
SN - 9780769548807
T3 - Proceedings - 2012 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2012
SP - 220
EP - 227
BT - Proceedings - 2012 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2012
T2 - 2012 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2012
Y2 - 4 December 2012 through 7 December 2012
ER -