Comparing Agent Modeling For Language and Action

Nancy Green and Jill Lehman

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 problemsolving 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 befiefs and intentions without sacrificing real-time performance and reactivity.


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