Overview
- This book describes the theory, methodology and algorithmization of a new approach to problem solving and its realization in the form of intelligent systems
- Includes supplementary material: sn.pub/extras
Part of the book series: Cognitive Technologies (COGTECH)
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Table of contents (29 chapters)
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Conceptual Theory of Cognitive Reasoning
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Logic Foundation
Keywords
About this book
Dealing with uncertainty, moving from ignorance to knowledge, is the focus of cognitive processes. Understanding these processes and modelling, designing, and building artificial cognitive systems have long been challenging research problems.
This book describes the theory and methodology of a new, scientifically well-founded general approach, and its realization in the form of intelligent systems applicable in disciplines ranging from social sciences, such as cognitive science and sociology, through natural sciences, such as life sciences and chemistry, to applied sciences, such as medicine, education, and engineering.
The main subject developed in the book is cognitive reasoning investigated at three levels of abstraction: conceptual, formal, and realizational. The authors offer a model of a cognizing agent for the conceptual theory of cognitive reasoning, and they also present a logically well-founded formal cognitive reasoning framework to handle the various plausible reasoning methods. They conclude with an object model of a cognitive engine.
The book is suitable for researchers, scientists, and graduate students working in the areas of artificial intelligence, mathematical logic, and philosophy.
Authors and Affiliations
Bibliographic Information
Book Title: Cognitive Reasoning
Book Subtitle: A Formal Approach
Authors: Tamás Gergely, Oleg M. Anshakov
Series Title: Cognitive Technologies
DOI: https://doi.org/10.1007/978-3-540-68875-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2010
Hardcover ISBN: 978-3-540-43058-2Published: 02 December 2009
Softcover ISBN: 978-3-642-26165-7Published: 01 March 2012
eBook ISBN: 978-3-540-68875-4Published: 11 March 2010
Series ISSN: 1611-2482
Series E-ISSN: 2197-6635
Edition Number: 1
Number of Pages: X, 437
Topics: Artificial Intelligence, Mathematical Logic and Foundations, Neurosciences, Theory of Computation, Information Systems Applications (incl. Internet), Logic