1 March 1990 Transitioning Mechanized Plan Recognition From Closed To Real-World Domains
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Proceedings Volume 1198, Sensor Fusion II: Human and Machine Strategies; (1990); doi: 10.1117/12.970008
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States
Abstract
David Chapman3 proved that planning which includes an action representation whose effects are a function of their input situation is undecidable. One of the paradoxes central to any formal theory of planning is how humans manage to accurately recognize on-going plans in real-world domains. Chapman has suggested that humans make use of cognitive cliches3. This paper introduces an axiomatic based mathematical theory of planning and plan recognition first described by the author4. The author argues that a real-world mechanized plan recognition paradigm should not include logical completeness as a criteria. Rather, the author proves that the human plan observer is knowledge-poor but cognitively complete. Plan action choice within cognitively complete domains is shown to critically depend upon ill-defined notions of set equality. The author describes a potential implementation of these ideas as a type of reactive planner, similar to Mase's and Kaelbing's recent research efforts8,7.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Douglas Walter J. Chubb, "Transitioning Mechanized Plan Recognition From Closed To Real-World Domains", Proc. SPIE 1198, Sensor Fusion II: Human and Machine Strategies, (1 March 1990); doi: 10.1117/12.970008; https://doi.org/10.1117/12.970008
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KEYWORDS
Stochastic processes

Sensor fusion

Transducers

Feature extraction

Cobalt

Chromium

Nickel

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