Generating intentions through argumentation

In this paper we consider how a BDI agent might determine its best course of action. We draw on previous work which has presented a model of persuasion over action and we discuss a formalism based upon this model which extends the BDI agent architecture to include the notion of value functions. This formalism will allow BDI agents to reason and argue about practical action, in accordance with this underlying model. CATEGORIES AND SUBJECT DESCRIPTORS I.2.0 [Artificial Intelligence]: General: Philosophical Foundations. I.2.4 [Artificial Intelligence]: Knowledge Representation Formalisms and Methods: Representation Languages. I.2.11 [Artificial Intelligence]: Distributed Artificial Intelligence: Intelligent Agents. I.2.11 [Artificial Intelligence]: Distributed Artificial Intelligence: Multiagent Systems. I.2.11 [Artificial Intelligence]: Distributed Artificial Intelligence: Languages and Structures. GENERAL TERMS Design, Languages, Theory. KEYWORDS Argumentation, Practical Reason...

• Type: Conference
• Year: 2005
• Where: ATAL
• Authors: Katie Atkinson, Trevor J. M. Bench-Capon, Peter McBurney
• Keywords: Artificial Intelligence, ATAL 2005, Bdi Agents, Knowledge Representation Formalisms And Methods