Agent-Oriented Probabilistic Logic Programming

Currently, agent-based computing is an active research area, and greatefforts have been made towards the agent-oriented programming both froma theoretical and practical view. However, most of them assume thatthere is no uncertainty in agents' mental state and their environment.In other words, under this assumption agent developers are just allowedto specify how his agent acts when the agent is 100% sure about what istrue/false. In this paper, this unrealistic assumption is removed anda new agent-oriented probabilistic logic programming language isproposed, which can deal with uncertain information about the world. Theprogramming language is based on a combination of features ofprobabilistic logic programming and imperative programming.