人工知能
Online ISSN : 2435-8614
Print ISSN : 2188-2266
人工知能学会誌(1986~2013, Print ISSN:0912-8085)
ATMSに基づく問題解決システムにおける知識管理 : 仮定の取扱いと知識コンパイル
西岡 真吾池田 満角所 収溝口 理一郎
著者情報
キーワード: ATMS, knowledge compilation
解説誌・一般情報誌 フリー

1993 年 8 巻 4 号 p. 465-475

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In many problem solving systems based on generate-and-test paradigms, most of the knowledge is owned by the tester. This imbalance of knowldege distribution causes a lot of problems, such as the occurrence of useless inferences, increase in overhead and so on, even though the ATMS is employed to realize efficient problem solving. The knowledge owned by the tester cannot be applied for the scheduler immediately in all the problem solvers based on generate-and-test architecture. However, once the knowledge is cached by the ATMS, it is easy to convert the knowledge into more useful one for the scheduler. We can also obtain directly applicable knowledge for the scheduler by compiling the knowledge owned by the tester. Using this method, we can decrease the interaction and overhead between scheduler and ATMS. In practice, we can consider that ATMS have no overhead. Furthermore, we can reconstruct the scheduler with the compiled knowledge, to embed the declarative knowledge owned by the tester into the scheduler as the procedural knowledge. This paper describes three kinds of augmentation of ATMS-based problem solving systems together with evaluation of the methods.

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© 1993 人工知能学会
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