圆柱
发表于 2025-3-28 16:11:47
Mechanical proof systems for logic II, consensus programs and their processing,We continue the investigations of and study the automated theorem proving for reasoning about perception of reasoning agents and their consensus reaching. Using the techniques of and of Logic programming () we develop the processing techniques for consensus programs.
NAUT
发表于 2025-3-28 20:05:17
Case-based planning for medical diagnosis,lan is build according to the most recent information known about a patient. BOLERO has been tested in a real application of pneumonia diagnosis. Results show that BOLERO is able to acquire enough strategic knowledge to perform a diagnostic procedure with a high degree of success.
Affluence
发表于 2025-3-29 02:16:25
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/632150.jpg
令人苦恼
发表于 2025-3-29 03:15:57
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Indebted
发表于 2025-3-29 09:57:40
On extended disjunctive logic programs,ver the class of extended programs. Illustrations of these techniques are given for stable models, disjunctive well-founded and stationary semantics. Also, the declarative complexity of the extended programs as well as the algorithmic complexity of the proof procedures are discussed.
CANT
发表于 2025-3-29 12:22:24
Model finding strategies in semantically guided instance-based theorem proving, not increase the search space of the semantic hyper-linking. In addition, using semantics is often expensive. Since semantics is not used in those model finding strategies, they help to find the proofs earlier and faster.
countenance
发表于 2025-3-29 16:33:18
An expressive three-valued logic with two negations,ed intuitionistic logic could be useful in connection with Kunen‘s modification of Fitting‘s three-valued version of the Clark Completion semantics for logic programs with negation. A suitable “intuitionistic fragment” of K. is obtained by allowing in proofs only sequents with at most one formula in the succedent.
放肆的我
发表于 2025-3-29 20:49:45
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配偶
发表于 2025-3-30 01:32:46
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barium-study
发表于 2025-3-30 04:18:05
MethoDex: A methodology for Expert Systems development,n developed within a life assurance industry environment (Liberty Life Association of Africa Limited) and has already proved itself as a valuable framework for the successful development of Expert Systems within a commercial environment.