Multi-agent systems are prone to failures typical of any distributed system. Agents and resources may become unavailable due to machine crashes, communication breakdowns, process ...
In this paper, we propose a machine learning-based NLP system for automatically creating animated storyboards using the action descriptions of movie scripts. We focus particularly...
1 This article summarizes recent progress in developing a validated computational account of the cognitive antecedents and consequences of emotion. We describe the potential of thi...
Recently several local hill-climbing procedures for propositional satisability have been proposed, which are able to solve large and di cult problems beyond the reach of conventio...
This paper describes our work constructing a generalized framework for modeling multi agent interactions in education-related applications. Historically, interactive learning syst...