Most BDI agent architectures rely on plan libraries in order to ensure bounded time for means-ends reasoning. Nevertheless, the usage of fast planning algorithms to provide the agent with runtime planning capabilities is an alternate approach to augment agent autonomy and flexibility. This paper proposes an autonomous agent architecture based on the integration of a logic-based BDI model with propositional planning algorithms through a mapping process.
|Title of host publication||Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems|
|Publication status||Published - 2004|