Mapping Mental States into Propositional Planning

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.

• Type: Conference
• Year: 2004
• Where: ATAL
• Authors: Felipe Rech Meneguzzi, Avelino F. Zorzo, Michael C. Móra
• Keywords: Agent Architecture, ATAL 2004, Augment Agent Autonomy, Most BDI Agent