Titlebook: Inductive Logic Programming; 14th International C Rui Camacho,Ross King,Ashwin Srinivasan Conference proceedings 2004 Springer-Verlag Berli

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Generalization Algorithms for Second-Order Termsation algorithm . for a pair of first-order terms under≽, introduced by Plotkin and Reynolds, to the one for a pair of second-order terms. The extended algorithm ., however, is insufficient to characterize the generalization for a pair of second-order terms, because it computes neither the least gen

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Circumscription Policies for Inductionminimized. In ., on the other hand, hypotheses abductively account for observations without any minimization principle. Both inductive methods have strength and weakness, which are complementary to each other. In this work, we unify these two logical approaches. In the proposed framework, not all pr

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Efficient Evaluation of Candidate Hypotheses in ,-loguses with variables constrained by assertions in the description logic .. Regardless of the scope of induction we define coverage relations for .-log in the two logical settings of learning from implications and learning from interpretations. Also, with reference to the ILP system .-., we discuss ou

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pplicability to different scenarios to ensure the dependability of evolving AI-based Cyber-Physical Systems of Systems (CPSoS) in the automotive domain. The paper shines the light on potential paths for dependable integration of AI-based systems into the automotive domain through identified analysis

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Wray Buntine so that the UAV could be trained to fly, following a pre-determined mission, but also detect obstacles in real-time so that it can accomplish its task without incidents. A sample use case of HEIFU is also presented, facilitating the temporal replication of an autonomous mission for an agricultural