Using Internal Agent Fluents to Represent Knowledge, Beliefs and Intentions

This position paper advocates a simple fluent representation of intention, knowledge, belief and memory that due to its grounded and integrated nature allows the use of constraint based planning algorithms for all aspects of agent reasoning and execution, including planning under uncertainty and integrated diagnosis and repair.