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A lattice-theoretical approach to problem-solving

  • Mathematical Aspects Of Application Methodology
  • Conference paper
  • First Online:
  • 2013 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 28))

Abstract

The starting point of this paper is Sandewall's conception of using multiple-input and multiple-output operators in problem-solving (see [3]). A formal definition of the general transformation problem is given. The conventional search-tree (or graph) is generalized into a new structure (lattice-structure with a special relation).

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References

  1. FIKES, R.E.; NILSSON, N.J. STRIPS: A New Approach to the Application of Theorem Proving to Problem Solving, Artificial Intelligence 2 (1971), 189

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  2. KELEMEN, J. A generalized approach to problem-solving, (in Slovak), Master Thesis, 1974

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  3. SANDEWALL, E.J. Concepts and methods for heuristic search, Proc. Intern. Joint Conf. Artificial Intelligence, Washington, D.C., 1969

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A. Blikle

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© 1975 Springer-Verlag Berlin Heidelberg

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Kelemen, J. (1975). A lattice-theoretical approach to problem-solving. In: Blikle, A. (eds) Mathematical Foundations of Computer Science. MFCS 1974. Lecture Notes in Computer Science, vol 28. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-07162-8_690

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  • DOI: https://doi.org/10.1007/3-540-07162-8_690

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-07162-4

  • Online ISBN: 978-3-540-37492-3

  • eBook Packages: Springer Book Archive

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