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The Evidential Reasoning approach for Inference in rule-based systems
SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483), 2004In this paper a generic Rule-base Inference Methodology using the Evidential Reasoning approach (RIMER) is proposed. A new knowledge representation scheme in a rule-base is proposed using a belief structure and fuzzy set theory. In this scheme, a rule-base is designed on the basis of the belief structure with belief degrees embedded in ail possible ...
Yang, Jian Bo; id_orcid 0000-0001-8953-1550 +3 more
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Rule-Based Reasoning Via Abstraction
2007The General Game Playing (GGP) project seeks to create software agents capable of receiving game rules hitherto unseen and, without human interaction, play that game effectively. For the time being, we have chosen to restrict the class of games to be multi-player, finite, deterministic and complete information.
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Adaptive Rule Based-Reasoning by Qualitative Analysis
2010In some previous papers we presented a fuzzy-interpolative self-adaptive control architecture that is able to identify the current operating regime of the sys tem by means of a qualitative analysis of the phase tra jectory of the error. Here we are extending this tech nique in order to build a self-adjusting PID controller that can automatically set ...
Marius Mircea Balas +1 more
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A Rule-Based Language for Complex Event Processing and Reasoning
2010Complex Event Processing (CEP) is concerned with timely detection of complex events within multiple streams of atomic occurrences. It has useful applications in areas including financial services, mobile and sensor devices, click stream analysis etc. Numerous approaches in CEP have already been proposed in the literature.
Darko Anicic +5 more
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An Exception Handling of Rule-Based Reasoning Using Case-Based Reasoning
Journal of Intelligent and Robotic Systems, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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A Production Rule-Based Framework for Causal and Epistemic Reasoning
2012Action theories are an important field of knowledge representation for reasoning about change and causality in dynamic domains. In practical implementations agents often have incomplete knowledge about the environment and need to acquire information at runtime through sensing, the basic ontology of action theories needs to be extended with epistemic ...
Patkos, T. +3 more
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Theory of mind and rule-based reasoning
Cognitive Development, 1995Abstract The hypothesis is tested that during the preschool period a particular form of reasoning is applied to theory of mind and a set of problems that do not require the understanding of mental states. Three experiments each provided a different piece of support for this hypothesis.
Douglas Frye +2 more
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A New Sparse Rule-Based Fuzzy Reasoning Method
Fourth International Conference on Hybrid Intelligent Systems (HIS'04), 2005This paper presents a new fuzzy interpolative reasoning method in the sparse fuzzy rule bases based on so-called similarity relations of fuzzy sets. By this reasoning method, an inference consequence can be simply obtained, and is a normal and convex fuzzy set without any limitation, which shows the potential ability of the proposed method in real ...
Baowen Wang +3 more
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Detecting Inconsistencies in Rule-Based Reasoning for Ambient Intelligence
2016 21st International Conference on Engineering of Complex Computer Systems (ICECCS), 2016Rule-based reasoning engines have proven their value for Context-Awareness in Ambient Intelligence. However, the definition of rules is often prone to human-caused inconsistencies or sensor failures. In this paper, we propose to assist the definition of rules for context-awareness by automatically validating the consistency of the rules.
Hamdi Aloulou +5 more
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Two learning approaches for a rule-based intuitive reasoner
Expert Systems with Applications, 2011Research highlights? This study is associated with a forward-chained, rule-based prediction algorithm. ? We test two heuristics that improve the classification accuracy of predictions. ? Predictions using variables relevant to the target variable result in higher accuracy. ? Accuracy is also improved by adjusting rules' weight to offset class imbalance.
Yung-Chien Sun, Grant Clark
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