Results 211 to 220 of about 50,888 (265)
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Reasoning by coordination: an integration of case-based and rule-based reasoning systems
Knowledge-Based Systems, 1993A case-based reasoning system (CBRS) is appropriate for an experience-rich domain, while a rule-based system performs reasonably well in a knowledge-rich application environment. A CBRS mainly uses past experiences as problem-solving tools, and therefore its capability can be limited when previous experiences are not a good representation of the whole ...
Robert T. H. Chi, Melody Y. Kiang
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Rule Based Reasoning for Network Management
Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05), 2006This paper focuses on improving network management by the adoption of artificial intelligence techniques. We propose a distributed multi-agent architecture for network management, where a logical reasoner acts as a managing entity capable of directing, coordinating, and triggering monitoring and management actions in the proposed architecture.
DE PAOLA, Alessandra +8 more
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A Rule-Based Modal View of Causal Reasoning
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023We present a novel rule-based semantics for causal reasoning as well as a number of modal languages interpreted over it. They enable us to represent some fundamental concepts in the theory of causality including causal necessity and possibility, interventionist conditionals and Lewisian conditionals. We provide complexity results for the satisfiability
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2020
The popularity of rules-based systems (RBSs) is due to their naturalness. This chapter presents the potential applications of RBSs, the working of RBS, forward and backward chaining RBSs, their Algorithms, and inferencing using these systems. The analysis of complexity of preconditions, and efficiency of rule selection are introduced to sufficient ...
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The popularity of rules-based systems (RBSs) is due to their naturalness. This chapter presents the potential applications of RBSs, the working of RBS, forward and backward chaining RBSs, their Algorithms, and inferencing using these systems. The analysis of complexity of preconditions, and efficiency of rule selection are introduced to sufficient ...
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Knowledge Authoring for Rule-Based Reasoning
2018Modern knowledge bases have matured to the extent of being capable of complex reasoning at scale. Unfortunately, wide deployment of this technology is still hindered by the fact that specifying the requisite knowledge requires skills that most domain experts do not have, and skilled knowledge engineers are in short supply.
Tiantian Gao, Paul Fodor, Michael Kifer
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Scaling Parallel Rule-Based Reasoning
2014Using semantic technologies the materialization of implicit given facts that can be derived from a dataset is an important task performed by a reasoner. With respect to the answering time for queries and the growing amount of available data, scaleable solutions that are able to process large datasets are needed.
Martin Peters +3 more
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The fuzzy reasoning rules based on universal logic
2005 IEEE International Conference on Granular Computing, 2005Traditional fuzzy reasoning methods have two problems 1) the operators appearing in the fuzzy reasoning methods are fixed; 2) how to select the operations for the reasoning methods. In order to solve the problems, we propose the updating fuzzy reasoning method based on universal logic in this paper.
Yingcang Ma, Huacan He
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Rule-Based Reasoning with Belief Structures
2017This paper introduces \(\text {4QL}^{\!\text {Bel}}\), a four-valued rule language designed for reasoning with paraconsistent and paracomplete belief bases as well as belief structures. Belief bases consist of finite sets of ground literals providing (partial and possibly inconsistent) complementary or alternative views of the world.
Lukasz Bialek +2 more
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A Rule-Based Implementation of Fuzzy Tableau Reasoning
2010The integration of distinct reasoning styles such as the ones exploited by description logics and rule-based systems is still an open challenge because of the differences among them. Such integration may be achieved by following two complementary approaches: loose integration vs. tight integration.
BRAGAGLIA, STEFANO +3 more
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Bridge Rule Based D3 L Reasoning
2013 Ninth International Conference on Semantics, Knowledge and Grids, 2013The semantic mapping in Distributed Dynamic Description Logic (D3L) is an extension of Dynamic Description Logic (DDL), which makes it easy to deal with distributed and heterogeneous situation. Existing work on knowledge propagation in D3L is just studied for simple cases, in which only two DDL systems are considered.
Jianhua Zhang +5 more
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