This paper employs the analysis of an interpretive case study within a Regional Train Operating Company (RTOC) to arrive at theoretical understandings of Information Systems (IS)....
Current recommender systems, based on collaborative filtering, implement a rather limited model of interaction. These systems intelligently elicit information from a user only dur...
Traditional goal-oriented approaches to building intelligent agents only consider absolute satisfaction of goals. However, in continuous domains there may be many instances in whi...
Successor state axioms are an optimal solution to the famous Frame Problem in reasoning about actions--but only as far as its representational aspect is concerned. We show how by g...
Building agents for a scenario such as the RoboCup simulation league requires not only methodologies for implementing high-level complex behavior, but also the careful and efficien...