Programming Multi-Agent Systems in AgentSpeak using Jason (Wiley Series in Agent Technology)
Programming Multi-Agent Systems in AgentSpeak using Jason (Wiley Series in Agent Technology)
2APL: a practical agent programming language
Autonomous Agents and Multi-Agent Systems
Programming Agents with Emotions
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Modules as policy-based intentions: modular agent programming in GOAL
ProMAS'07 Proceedings of the 5th international conference on Programming multi-agent systems
A domain-independent framework for modeling emotion
Cognitive Systems Research
Human relationship modeling in agent-based crowd evacuation simulation
PRIMA'11 Proceedings of the 14th international conference on Agents in Principle, Agents in Practice
Modeling human behavior in the aftermath of a hypothetical improvised nuclear detonation
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
Modeling agents with a theory of mind: Theory--theory versus simulation theory
Web Intelligence and Agent Systems
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The execution of an artificial agent is usually implemented with a sense--reason--act cycle. This cycle includes tasks such as event processing, generating and revising plans, and selecting actions to execute. However, there are typically many choices in the design of such a cycle, which are often hard-coded in the cycle in an ad hoc way. The question of this paper is how one decides, in a principled way, how often and which reasoning rules to apply, how to interleave the execution of plans, or when to start replanning. This paper proposes and formalizes the eliciting conditions of hope, fear, joy, and distress according to a well-known psychological model of human emotion. These conditions are then used to reduce the choices an agent can make in each state. They formalize the idea that emotions focus an agent's attention on what is important in each state.