Dataflow computation for knowledge based control of autonomous systems:

Abstract: "This paper presents a new data-driven model for parallel and efficient execution of logic programs. Applied to knowledge- based control of autonomous systems, it takes advantage of the fact that these systems use their set of rules in a special way. A two-step method for constructing...

Ausführliche Beschreibung

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Bibliographische Detailangaben
1. Verfasser: Burg, Alexandra (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Passau 1996
Schriftenreihe:Universität <Passau> / Fakultät für Mathematik und Informatik: MIP 1996,12
Schlagworte:
Zusammenfassung:Abstract: "This paper presents a new data-driven model for parallel and efficient execution of logic programs. Applied to knowledge- based control of autonomous systems, it takes advantage of the fact that these systems use their set of rules in a special way. A two-step method for constructing dataflow graphs is outlined. Its core part is the analysis of static data-dependencies, as they exist in the sets of rules for knowledge-based control. The model does not restrict evaluation parallism [sic] in any way, i.e., the same amount of parallelism is exploited as by the (restricted) AND/OR-evaluation models of logic programming. Furthermore, control efficiency is increased by the model's purely data-driven evaluation scheme that saves any distribution of demands-for-evaluation."
Beschreibung:Teilw. als: Conference proceedings of AI, Simulation and Planning in High Autonomy Systems ; 1996
Beschreibung:57, 4 S.