Towards a Theory of Intentional Agents
Justin L. Blount, Michael Gelfond, Marcello Balduccini · National Conference on Artificial Intelligence · 2014
This paper describes the AIA architecture for agents whose behavior is driven by their intentions and who reason about, and act in, changing environments. The description of the domain, written in action language AL, includes both a description of agent’s environment and the Theory of Intentions which describes properties of intentions. The architecture is designed to make agents capable of explaining unexpected observations (by means of diagnostic reasoning) and determining which of his actions are intended at the present moment. Reasoning tasks are reduced to computing answer sets of CR-Prolog programs constructed automatically from the agent’s knowledge.