Issues in Designing Physical Agents for Dynamic Real-Time Environments World Modeling, Planning, Learning, and Communicating

摘要

This article discusses a workshop held in conjunction with the Eighteenth International Joint Conference on Artificial Intelligence (IJCAI-03), held in Aca-pulco, Mexico, on 11 August 2003. Recent developments in multia-gent systems (MAS) have shown promising results in the modeling of autonomous, collaborative behavior between agents in different environments. However, much of the work does not take into account real-time constraints typically associated with many agent applications in addition to the incomplete and dynamic nature of the embedding environments. For example, in environments where a number of agents build teams, and both single-agent and collaborative decisions have to be made, such decisions have to be generated rapidly and in the appropriate time windows to be useful.