Crisp and Soft Computing with Hypercubical Calculus de Michael Zaus

Crisp and Soft Computing with Hypercubical Calculus: New Approaches to Modeling in Cognitive Science and Technology with Parity Logic, Fuzzy Logic, and Evolutionary Computing: Studies in Fuzziness and Soft Computing, cartea 27

Michael Zaus

In Part I, the impact of an integro-differential operator on parity logic engines (PLEs) as a tool for scientific modeling from scratch is presented. Part II outlines the fuzzy structural modeling approach for building new linear and nonlinear dynamical causal forecasting systems in terms of fuzzy cognitive maps (FCMs). Part III introduces the new type of autogenetic algorithms (AGAs) to the field of evolutionary computing. Altogether, these PLEs, FCMs, and AGAs may serve as conceptual and computational power tools.

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	Preț	Express
Paperback (1)	974^.11 lei 6-8 săpt.
Physica-Verlag HD – 3 oct 2013	974^.11 lei 6-8 săpt.
Hardback (1)	980^.41 lei 6-8 săpt.
Physica-Verlag HD – 22 ian 1999	980^.41 lei 6-8 săpt.

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Express

Paperback (1)

974^.11 lei 6-8 săpt.

Physica-Verlag HD – 3 oct 2013

974^.11 lei 6-8 săpt.

Hardback (1)

980^.41 lei 6-8 săpt.

Physica-Verlag HD – 22 ian 1999

980^.41 lei 6-8 săpt.

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Cuprins

1 Introduction.- 2 Mathematical Foundations of Parity Logic.- 3 Binary Signal Analysis in Parity Logic.- 4 Modeling Perception and Action in Parity Logic.- 5 Parity Logic Engines and Excitable Media.- 6 Transdisciplinary Perspectives of Parity Logic.- 7 Mathematical Foundations of Fuzzy Logic.- 8 Causal Modeling with Fuzzy Cognitive Maps.- 9 Foundations of Evolutionary Computing.- 10 Fundamentals of Autogenetic Algorithms.

Textul de pe ultima copertă

Three transdisciplinary mainstreams of crisp and soft computing are presented in this book. (1) An entirely new approach to scientific modeling from scratch as based on parity logic with new operators for binary computing and the new framework of Langlet transforms. (2) A compact overview of the foundations of fuzzy logic, and a comprehensive treatment of fuzzy nonlinear dynamical predictor systems in terms of fuzzy cognitive maps. Readers interested in new ways of causal modeling and nonlinear forecasting are introduced to fuzzy knowledge engineering as a paradigm shift in intelligent computing. (3) New perspectives for evolutionary computing with an integro-differential operator from parity logic, and a systematic elaboration of autogenetic algorithms for search in high dimensional feature spaces. Readers interested in fast computing, practical applications of causal reasoning with fuzzy logic, and interactive experimental control environments as based on evolutionary computing, will gain significant insights into a variety of computational power tools.