£107.61

Springer Foundations of Computational Intelligence Vol 2

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Description

Explore the complex world of human reasoning through Foundations of Computational Intelligence Volume 2: Approximate Reasoning. Published by Springer as part of the Studies in Computational Intelligence series (202), this volume focuses on the theoretical foundations and practical applications of approximate reasoning. Since human reasoning is often approximate and involves various types of certainties, this book provides the computational modeling necessary to understand how humans reason about natural phenomena or solve real-world problems. It serves as an essential resource for those studying how to translate human-like logic into computational processes. The content covers a wide array of specialized topics, including fuzzy sets, Dempster-Shafer theory, and multi-valued logic. Readers will also find detailed information on probability, random sets, and rough sets. Additionally, the book examines near sets and hybrid intelligent systems, combining research articles and expository material to provide a comprehensive look at the field of computational intelligence.

Key Features

Covers essential theoretical foundations for modeling human reasoning and real-world problem solving.

Includes deep dives into fuzzy sets, Dempster-Shafer theory, and multi-valued logic.

Explores advanced mathematical concepts such as probability, random sets, and rough sets.

Provides insights into near sets and the development of hybrid intelligent systems.

Features a collection of research articles and expository content for academic study.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
15 June 2009
Listed Since
31 March 2009

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