Fast Anticipatory Reasoning for Computing Anticipatory Systems
p. 42-53
Résumé
Anticipatory reasoning engine is an indispensable component for computing anticipatory systems. In practical computing anticipatory systems, the efficiency of anticipatory reasoning engine is a key issue to satisfy the real-time requirements from applications. FreeEnCal: a forward reasoning engine for general-purpose purpose is a hopeful candidate for anticipatory reasoning engines. However, the current FreeEnCaJ is not efficient enough for practical computing anticipatory systems. This paper presents a new implementation of FreeEnCal improved by adopting fast algorithms, and shows its efficiency by comparing the improved FreeEnCal with the old one. The improved FreeEnCal can be used as an anticipatory reasoning engine of practical computing anticipatory systems.
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Référence papier
Takahiro Koh, Yuichi Goto et Jingde Cheng, « Fast Anticipatory Reasoning for Computing Anticipatory Systems », CASYS, 24 | 2010, 42-53.
Référence électronique
Takahiro Koh, Yuichi Goto et Jingde Cheng, « Fast Anticipatory Reasoning for Computing Anticipatory Systems », CASYS [En ligne], 24 | 2010, mis en ligne le 06 September 2024, consulté le 20 September 2024. URL : http://popups.lib.uliege.be/1373-5411/index.php?id=3027
Auteurs
Takahiro Koh
Department of Information and Computer Science, Saitama University, 255 Shimo-Okubo, Sakura-ku, Saitama, 338-8570, Japan
Yuichi Goto
Department of Information and Computer Science, Saitama University, 255 Shimo-Okubo, Sakura-ku, Saitama, 338-8570, Japan
Jingde Cheng
Department of Information and Computer Science, Saitama University, 255 Shimo-Okubo, Sakura-ku, Saitama, 338-8570, Japan