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Titlebook: Analogical and Inductive Inference; International Worksh Klaus P. Jantke Conference proceedings 1987 Springer-Verlag Berlin Heidelberg 1987

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Equilibrium Speed Distributionssatisfy a recursion theoretic randomness condition. It turns out that under three natural assumptions (finite range, reliable identifiability of the function class and "proper" noise function) the identifiability is preserved up to a finite set of anomalies.
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Single Species Population Modelslization of the reasoning in terms of deduction, and a method for realizing the reasoning in a logic programming system. First we assume that each domain for the reasoning is the least model for logic program. Then we consider an analogy as a partial identity between the models. Secondly we introduc
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Systems of Linear Differential Equations, some sense incomplete, data base. An algorithm is described which, using the missing information in a special way, generates the required rules. The generated rules also match an appropriate complete data base that is exponentially greater than the original one.
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Systems of Linear Differential Equations,algebraic framework for a comprehensive generalization of SUMMERS‘ approach by using Church-Rosser specifications of a special kind. Based on a brief description of a general program synthesis method we deduce a decidability problem forming a pure theoretical foundation of our method. Finally, we ch
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Complex Variables and Contour Integration,Before we describe our approach to the problem of learning the action part of IF(pattern) THEN-DO(action)-rules we give a survey to the problem of knowledge acquisition for expert systems. In connection with our work we focus on automatic knowledge acquisition by learning methods.
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Knowledge acquisition by inductive learning from examples,Before we describe our approach to the problem of learning the action part of IF(pattern) THEN-DO(action)-rules we give a survey to the problem of knowledge acquisition for expert systems. In connection with our work we focus on automatic knowledge acquisition by learning methods.
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