Knowledge Processing and Decision Making in Agent-Based Systems
Knowledge Processing and Decision Making in Agent-Based Systems
Learning to believe by feeling: an agent model for an emergent effect of feelings on beliefs
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II
Communication and trust in the bounded confidence model
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Formal modelling of organisational goals based on performance indicators
Data & Knowledge Engineering
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Modern socio-technical systems are characterized by high structural and behavioral complexities, which impede understanding and modeling of such systems. In particular, reciprocal relations between diverse local system processes that determine global system dynamics are not well understood. In this paper we focus on the problem of establishing relations between cognitive processes that determine social dynamics of an actor in a sociotechnical system. To address this problem, a formal, integrated, agent-based modeling approach is proposed. The approach defines relations between such cognitive processes as belief revision, trust dynamics, generation and development of feelings and emotions, and decision making. Furthermore, it is described how the behavior of an agent is related to its cognitive dynamics. Preliminary experimental results for the approach are discussed in the paper.