Reasoning about Plan Revision in Agent Programs

This talk is on reasoning about agent programs written in Belief, Desire and Intention (BDI) agent programming languages. BDI programming languages (for example, [1], [2], [3]) have high-level programming primitives which correspond to the beliefs, goals and plans of an AI agent. A program contains a set of rules which allow the agent to adopt plans given its current beliefs and goals. Plans are essentially imperative programs. For example, an agent may have a rule which says that if it believes that it is currently located in room 1 and its goal is to be in room 2, then a suitable plan to adopt would be to exit room 1, turn right, move forward for 3 meters, turn right, and enter room 2.

Authors

• Natasha Alechina

Keywords

• Cognition
• Computer languages
• Programming
• Educational institutions
• Autonomous agents
• Multiagent systems
• Plan Revision
• Action Plan
• Programming Language
• Error Handling
• Propositional Logic
• agent programming languages
• propositional dynamic logic