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Titlebook: Logic versus Approximation; Essays Dedicated to Wolfgang Lenski Book 2004 Springer-Verlag Berlin Heidelberg 2004 Fuzzy.agile software deve

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On Models for Quantified Boolean Formulas, for a formula – will be shown. Finally, for classes of Boolean functions we establish some characterizations in terms of quantified Boolean formulas which have such a model. For example, roughly speaking any satisfiable quantified Boolean Horn formula can be satisfied by monomials and vice versa.
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Approximation of Utility Functions by Learning Similarity Measures,can be seen as an approximation of the domain specific, but a-priori unknown .. In this article we present an approach how this approximation of utility functions can be facilitated by employing machine learning techniques.
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0302-9743 There are on the one hand the logic-based approaches where logic is to be understood in a rather broad sense; usually these approaches are used in symbolic domains where numerical calculations are not the core challenge. On the other hand we find approximation oriented reasoning; methods of these ki
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Retrieval by Structure from Chemical Data Bases,ucture query and substructure query – are always understood in some approximative sense. Similarity notions for molecular graphs are given here in terms of graph Voronoi regions. These lead to certain shortest path lists and shortest path matrices to which retrieval algorithms refer.
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Randomized Search Heuristics as an Alternative to Exact Optimization,y theory of so-called black-box problems is presented and it is shown how the limits of randomized search heuristics can be proved without assumptions like NP≠P. This survey article does not contain proofs but hints where to find them.
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Book 2004pproaches where logic is to be understood in a rather broad sense; usually these approaches are used in symbolic domains where numerical calculations are not the core challenge. On the other hand we find approximation oriented reasoning; methods of these kinds are mainly applied in numerical domains
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