Titlebook: Second Generation Expert Systems; Jean-Marc David,Jean-Paul Krivine,Reid Simmons Conference proceedings 1993 Springer-Verlag Berlin Heidel

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Bob Wielinga,Walter Van de Velde,Guus Schreiber,Hans Akkermans nodes, transfer reinforcement learning is presented to fully leverage the previous knowledge. Experimental results show that our proposed method can quickly select the optimal and minimum radar nodes in a brief period, significantly improving the speed of radar node selection in the networked radar

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Jon Sticklen,Eugene Wallingford. Aiming at the problem that the current region mining method based on classification network is inaccurate and incomplete in object location, we use the Adversarial Complementary Learning module to make the network pay attention to more complete objects. We conduct analysis to validate the proposed

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Combining Heuristic Reasoning with Causal Reasoning in Diagnostic Problem Solvingrelies on a causal representation of knowledge. In AID the abductive formalization of diagnosis plays a major role, and the reasoning process is focused by operational knowledge that is automatically synthesized from the causal model.

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Integrating Functional Models and Structural Domain Models for Diagnostic Applicationsgnosis. We then present some of the issues involved in any system which integrates multiple domain models. The Integrated Functional and Structural Modelling system we have developed is then introduced and a diagnostic system built around this approach is presented.

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