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Titlebook: GWAI-92: Advances in Artificial Intelligence; 16th German Conferen Hans Jürgen Ohlbach Conference proceedings 1993 Springer-Verlag Berlin H

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A new sorted logic,t compared to deductions in the unsorted resolution calculus. The approach is a conservative extension of the known sorted approaches, as it simplifies to the known sorted calculi if we apply the calculus to the much more restricted input formulas of these calculi.
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Efficient computation of solutions for contradictory time interval networks,r-defined assumptions..In this paper, a basic algorithm for computing elementary solutions is presented, and for reasons of efficiency a modification of this algorithm is explained. In this way, we get an efficient computation of elementary solutions for contradictory time interval networks.
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Extensions of concept languages for a mechanical engineering application,t subsumption problem is undecidable. It should be noted that the need for these extensions is not particular to the considered problem domain; similar representation demands are likely to occur in other non-toy applications.
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Concept support as a method for programming neural networks with symbolic knowledge,s believed to be essential for the task. Thus the knowledge actually accessible for the neural network remains distributed or -as it is called-subsymbolic. Results from a test application are reported which show considerable improvements in generalization.
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Learning plan abstractions,odology is applied to learn from machine-oriented programs. An abstract program can be acquired on a higher programming level which is characterized through the use of abstract data types instead of machine-oriented data representations.
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https://doi.org/10.1007/978-3-030-32142-0code area into a backward and forward code area and by adding a new stack to record derived facts. This shows how an efficient implementation of meta-interpreters can have an effect on compilation and even on the design of the target machine.
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https://doi.org/10.1007/BFb0018988Distributed AI Systems; Knowledge Representation; Logic Programming; Machine Learning; Natürlichsprachli
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Laws, Levels of Descriptions, and Models,oleinized formula is first transformed into a Shannon graph, then the latter is compiled into a set of Horn clauses. These can finally be run as a Prolog program trying to refute the initial formula. It is also possible to precompile axiomatizations into Prolog and load these theories as required.
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