Summary: Generating Intentions Through Argumentation
Katie Atkinson, Trevor Bench-Capon and Peter McBurney,
Department of Computer Science,
University of Liverpool, UK.
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 in-
clude the notion of value functions. This formalism will allow BDI
agents to reason and argue about practical action, in accordance
with our underlying model.
CATEGORIES AND SUBJECT DESCRIPTORS
I.2.0 [Artificial Intelligence]: General: Philosophical Foundations.
I.2.4 [Artificial Intelligence]: Knowledge Representation Formali-
sms 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