IJCAI ’ 95 Workshop on the Next Generation of Plan Recognition Systems p . 72 - 77 Procedural Agent Model for Plan
نویسنده
چکیده
We propose a formal procedure-based agent model for plan recognition as an alternative to the declarative proposition-based agent model. Our formalism, called the Procedural Agent Model (PAM) allows us to describe procedural plans of agents in a concise and abstract way. Plan recognition uses PAM as a library of plan schemas and applies a graph-based pattern-matching algorithm to the observed events to nd a matching PAM. The associated intentions can then be inferred from the goals of matching PAM. We are also investigating the extension of our PAM representation to a prob-abilistic procedural agent model by incorporating uncertainty in observation and probabilistic state transition.
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