Logic versus Approximation [electronic resource] : Essays Dedicated to Michael M. Richter on the Occasion of his 65th Birthday /

Nowadays knowledge-based systems research and development essentially employs two paradigms of reasoning. 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 kinds are mainly applied in numerical domains where approximation is part of the scientific methodology itself. However, from an abstract level all these approaches do focus on similar topics and arise on various levels such as problem modeling, inference and problem solving techniques, algorithms and mathematical methods, mathematical relations between discrete and continuous properties, and are integrated in tools and applications. In accordance with the unifying vision and research interest of Michael M. Richter and in correspondence to his scientific work, this book presents 13 revised full papers advocating the integration of logic-based and approximation-oriented approaches in knowledge processing.

Bibliographic Details

Main Authors:	Lenski, Wolfgang. editor., SpringerLink (Online service)
Format:	Texto biblioteca
Language:	eng
Published:	Berlin, Heidelberg : Springer Berlin Heidelberg, 2004
Subjects:	Computer science., Algorithms., Mathematical logic., Numerical analysis., Computer science, Database management., Artificial intelligence., Computer Science., Mathematical Logic and Formal Languages., Artificial Intelligence (incl. Robotics)., Algorithm Analysis and Problem Complexity., Numeric Computing., Discrete Mathematics in Computer Science., Database Management.,
Online Access:	http://dx.doi.org/10.1007/b98383
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