A logic-based calculus of events
New Generation Computing
Nonmonotonic logic and temporal projection
Artificial Intelligence
AgentSpeak(L): BDI agents speak out in a logical computable language
MAAMAW '96 Proceedings of the 7th European workshop on Modelling autonomous agents in a multi-agent world : agents breaking away: agents breaking away
On the logic of causal explanation
Artificial Intelligence
Knowlege in action: logical foundations for specifying and implementing dynamical systems
Knowlege in action: logical foundations for specifying and implementing dynamical systems
Interacting with virtual characters in interactive storytelling
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
EBDI: an architecture for emotional agents
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part II
Development of Virtual Agents with a Theory of Emotion Regulation
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
Modelling the dynamics of reasoning processes: Reasoning by assumption
Cognitive Systems Research
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This paper presents an agent-based model for decision making, which integrates personal biological and psychological aspects with rational utility-based reasoning. The model takes a BDI-based approach, where generation of desires is based on the personal characteristics, and generation of intentions is based on the rational reasoning. Moreover, a hypothetical reasoning mechanism is exploited to derive knowledge that connects certain actions to desires. The model has been implemented in the LEADSTO environment, and has been applied in a case study in the domain of criminal behaviour. Simulation experiments pointed out that the model enables agents to reason effectively about the consequences of their actions, which helps them to make the decisions that best satisfy their desires.