Rich computer simulations or quantitative models can enable an agent to realistically predict real-world behavior with precision and performance that is difficult to emulate in log...
This paper presents arguments for the application of a multiagent approach to spatial reasoning, and it is shown how spatial reasoning benefits from an agent-based implementation....
Sketch maps are an important spatial representation used in many geospatial reasoning tasks. This paper describes techniques we have developed that enable software to perform huma...
Kenneth D. Forbus, Jeffrey M. Usher, Vernell Chapm...
We present an integrated approach for reasoning about and learning conversation patterns in multiagent communication. The approach is based on the assumption that information abou...
Michael Rovatsos, Felix A. Fischer, Gerhard Wei&sz...
Hybrid connectionist symbolic systems have been the subject of much recent research in AI. By focusing on the implementation of high-level human cognitive processes (e.g., rule-ba...