Goal creation in motivated agents
ECAI-94 Proceedings of the workshop on agent theories, architectures, and languages on Intelligent agents
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Multiagent systems: a modern approach to distributed artificial intelligence
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Artificial Intelligence
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Conditionals in nonmonotonic reasoning and belief revision: considering conditionals as agents
Conditionals in nonmonotonic reasoning and belief revision: considering conditionals as agents
Know-how for motivated BDI agents
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
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KSEM '09 Proceedings of the 3rd International Conference on Knowledge Science, Engineering and Management
Argonauts: a working system for motivated cooperative agents
Annals of Mathematics and Artificial Intelligence
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The beliefs of an agent reflecting her subjective view of the world constitute one of the main components of a BDI agent. In order to incorporate new information coming from other agents, or to adjust to changes in the environment, the agent has to carry out belief change operations while taking metalogical information on time and reliabilities into account. In this paper, we describe a framework for belief operations within a BDI agent, sketching the interactions of beliefs with desires and intentions, respectively. Furthermore, we illustrate how motivations and know-how come into play in our agent model of this framework. We focus on the presentation of a complex setting for belief change that makes use of techniques both from merging and update, and provides a BDI agent with advanced reasoning capabilities. Extended logic programs under the answer set semantics will serve as the basic knowledge representation formalism.