Abstract
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.
Cite
CITATION STYLE
Pfeiffer, J. J. (2004). A prototype inference engine for rule-based geometric reasoning. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 2980, pp. 216–226). Springer Verlag. https://doi.org/10.1007/978-3-540-25931-2_20
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
