A Prototype Inference Engine for Rule-Based Geometric Reasoning

نویسنده

  • Joseph J. Pfeiffer
چکیده

Isaac is a rule-based visual language for mobile robots using evidential reasoning and a fuzzy inference engine. A prototype inference engine for Isaac has been implemented, permitting experiments with the Isaac language. This paper discusses this inference engine, describes some preliminary experiences with programming Isaac rulesets, and proposes future optimizations and enhancements to the inference engine.

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تاریخ انتشار 2004