Read e-book online Artificial Intelligence and Symbolic Computation: 8th PDF

By Arjeh M. Cohen (auth.), Jacques Calmet, Tetsuo Ida, Dongming Wang (eds.)

ISBN-10: 3540397280

ISBN-13: 9783540397281

This e-book constitutes the refereed complaints of the eighth foreign convention on man made Intelligence and Symbolic Computation, AISC 2006, held in Beijing, China in September 2006.

The 18 revised complete papers provided including four invited papers have been rigorously reviewed and chosen from 39 submissions. in response to heuristics and mathematical algorithmics, synthetic intelligence and symbolic computation are perspectives and methods for automating (mathematical) challenge fixing. The papers deal with all present points within the zone of symbolic computing and AI: mathematical foundations, implementations, and functions in and academia. The papers are prepared in topical sections on synthetic intelligence and theorem proving, symbolic computation, constraint satisfaction/solving, and mathematical wisdom management.

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Additional info for Artificial Intelligence and Symbolic Computation: 8th International Conference, AISC 2006 Beijing, China, September 20-22, 2006 Proceedings

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Whenever this is possible all the theorems from the source theory become automatically theorems in the target theory. Imps, Maya, and Hets are systems implementing the little theories paradigm and the development graph respectively. For brevity we call them just dg-systems – more about this topic is provided in section 2. The work reported here presents an improvement of theorem reuse in dgsystems in two aspects: 1) the theorem reuse factor is enhanced by embedding into the target theory only the minimal premises of a theorem to be reused instead of the whole set of axioms of the source theory.

Formulae with free variables universally quantified). We classify the symbols of our logic into constants (subsuming also function and relation symbols), variables (possibly higher-order), and logical constants. Let c be a constant, v be a variable, x be a variable or a logical constant,◦be any symbol, Q be a quantifier, and ϕj be a formula. f(ϕ) f(◦(ϕ1 , . . , ϕn )) = f(◦)(f(ϕ1 ), . . , f(ϕn ) Thus f just removes all signatures symbols out of the formula and replaces it by a placeholder. Moreover we assume that our f renames all bound variables in a standardized way7 such that structural identity is relieved from α-equivalence.

Memo ANL/MCS-TM-263, Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL, August 2003. 5. W. McCune. Prover9. gov/~mccune/prover9/, 2005. 6. W. McCune and L. Henschen. Experiments with semantic paramodulation. J. Automated Reasoning, 1(3):231–261, 1984. 7. W. McCune, R. Padmanabhan, M. A. Rose, and R. Veroff. Automated discovery of single axioms for ortholattices. Algebra Universalis, 52:541–549, 2005. 8. R. Padmanabhan, W. McCune, and R. Veroff. Lattice laws forcing distributivity under unique complementation.

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Artificial Intelligence and Symbolic Computation: 8th International Conference, AISC 2006 Beijing, China, September 20-22, 2006 Proceedings by Arjeh M. Cohen (auth.), Jacques Calmet, Tetsuo Ida, Dongming Wang (eds.)


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