Mind as motion: explorations in the dynamics of cognition
Mind as motion: explorations in the dynamics of cognition
Belief Revision Process Based on Trust: Agents Evaluating Reputation of Information Sources
Proceedings of the workshop on Deception, Fraud, and Trust in Agent Societies held during the Autonomous Agents Conference: Trust in Cyber-societies, Integrating the Human and Artificial Perspectives
Relating Cognitive Process Models to Behavioural Models of Agents
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
Formal trust model for multiagent systems
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Automated analysis of compositional multi-agent systems
International Journal of Agent-Oriented Software Engineering
Modelling the reciprocal interaction between believing and feeling from a neurological perspective
BI'09 Proceedings of the 2009 international conference on Brain informatics
SBP'11 Proceedings of the 4th international conference on Social computing, behavioral-cultural modeling and prediction
From mirroring to the emergence of shared understanding and collective power
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part I
Transactions on Computational Collective Intelligence VIII
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In this paper the issue of relating a specification of the internal processes within an agent to a specification of the behaviour of the agent is addressed. A previously proposed approach for automated generation of behavioural specifications from an internal specification was limited to stratified specifications of internal processes. Therefore, it cannot be applied to mutually interacting cognitive and affective processes described by interacting loops. However, such processes are not rare in agent models addressing integration of cognitive and affective processes and agent learning. In this paper a novel approach is proposed which addresses this issue. The proposed technique for loop abstraction is based on identifying dependencies of equilibrium states for interacting loops. The technique is illustrated by an example of an internal agent model with interdependent processes of believing, feeling, and trusting.