Towards a Causal Framework for Intelligent Agents Development

Hector G. Ceballos, Franc Cantu
2009 2009 Eighth Mexican International Conference on Artificial Intelligence  
In this paper we present a Causal Artificial Intelligence Design (CAID) theory that borrows notions from Classical philosophy for modeling intelligent agents. Principles introduced by this theory are used for extending a goal-driven BDI architecture and implementing what we call Causal Agent. This architecture incorporates causal formalisms like Pearl's Do calculus and C+ which are adapted to Semantic Web knowledge representations. Our approach includes an ontological agent description that
more » ... escription that enables and justifies the instantiation of agents as part of a plan. An experimental prototype used for validating experimentally our approach is commented.
doi:10.1109/micai.2009.12 fatcat:nasyvlfhoffkrcqevyac7vogny