Comparing agent modeling for language and action
Nancy Green, Jill Fain Lehman · National Conference on Artificial Intelligence · 1996
We present our approach to agent modeling for communication, and compare it to an approach to agent modeling for other types of action. The comparison should be instructive since both approaches are implemented in the same problem-solving architecture, face similar application domain requirements, and address the same general problem of comprehension. Also, we show how for discourse processing, it is possible to have the benefits of viewing agents in terms of their beliefs and intentions without sacrificing real-time performance and reactivity.