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  • 1
    Publication Date: 1991-01-01
    Print ISSN: 0955-792X
    Electronic ISSN: 1465-363X
    Topics: Computer Science , Mathematics
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Annals of mathematics and artificial intelligence 14 (1995), S. 99-133 
    ISSN: 1573-7470
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Mathematics
    Notes: Abstract Recent deductive approaches to reasoning about action and chance allow us to model objects and methods in a deductive framework. In these approaches, inheritance of methods comes for free, whereas overriding of methods is unsupported. In this paper, we present an equational logic framework for objects, methods, inheritance and overriding of methods. Overriding is achieved via the concept of specificity, which states that more specific methods are preferred to less specific ones. Specificity is computed with the help of negation as failure. We specify equational logic programs and show that their completed versions behave as intended. Furthermore, we prove that SLDENF-resolution is complete if the equational theory is finitary, the completed programs are consistent and no derivation flounders or is infinite. Moreover, we give syntactic conditions which guarantee that no derivation flounders or is infinite. Finally, we discuss how the approach can be extended to reasoning about the past in the context of incompletely specified objects or situations. It will turn out that constructive negation is needed to solve these problems.
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Applied intelligence 11 (1999), S. 45-58 
    ISSN: 1573-7497
    Keywords: recurrent neural networks ; logic programs ; model generation ; approximations
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract In [1] we have shown how to construct a 3-layered recurrent neural network that computes the fixed point of the meaning function TP of a given propositional logic program P, which corresponds to the computation of the semantics of P. In this article we consider the first order case. We define a notion of approximation for interpretations and prove that there exists a 3-layered feed forward neural network that approximates the calculation of TP for a given first order acyclic logic program P with an injective level mapping arbitrarily well. Extending the feed forward network by recurrent connections we obtain a recurrent neural network whose iteration approximates the fixed point of TP. This result is proven by taking advantage of the fact that for acyclic logic programs the function TP is a contraction mapping on a complete metric space defined by the interpretations of the program. Mapping this space to the metric space R with Euclidean distance, a real valued function fP can be defined which corresponds to TP and is continuous as well as a contraction. Consequently it can be approximated by an appropriately chosen class of feed forward neural networks.
    Type of Medium: Electronic Resource
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  • 4
    Electronic Resource
    Electronic Resource
    Springer
    Journal of automated reasoning 5 (1989), S. 309-337 
    ISSN: 1573-0670
    Keywords: Horn clause logic ; equational programs ; paramodulation rule
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract A language of equational programs together with an inference system, based on paramodulation is defined. The semantics of the language is given with respect to least models, least fixpoints and success sets and its soundness and completeness is proven using fixpoint theory. The necessity of the functional reflexive axioms is investigated in detail. Finally, the application of these ideas to term rewriting systems is outlined by discussing directed paramodulation and narrowing.
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  • 5
    Electronic Resource
    Electronic Resource
    Springer
    Acta informatica 24 (1987), S. 157-171 
    ISSN: 1432-0525
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Summary The problem whether there exists a unifying substitution for two terms is considered in the class of theories which can be embedded into canonical term rewriting systems. The problem is shown to be undecidable, even if we restrict the substitutions to matching ones. This implies that the class of admissible canonical theories is a proper subset of the class of canonical theories.
    Type of Medium: Electronic Resource
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