Probabilistic Plan Recognition for Hostile Agents

Christopher W. Geib and Robert P. Goldman, Honeywell Technology Center, USA

This paper presents a probabilistic and abductive theory of plan recognition that handles agents that are actively hostile to the inference of their plans. This focus violates a primary assumption of most previous work, namely complete observability of the executed actions.

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