£144.78

Springer - Approximate Reasoning by Parts (Rough Mereology)

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Description

Explore the fundamentals of reasoning under uncertainty with Approximate Reasoning by Parts: An Introduction to Rough Mereology. This monograph from the Intelligent Systems Reference Library presents a unique approach to mereology by incorporating concepts from Fuzzy Set Theory and Rough Set Theory. By introducing the notion of a part to a degree, the text establishes a framework for understanding containment in uncertain environments. This work builds upon the classic mereology formulated by Lesniewski, creating a bridge between traditional part-whole relationships and modern computational needs. The theory provides a mathematical foundation for handling imprecise information, making it a valuable resource for researchers in logic and artificial intelligence. Beyond theoretical development, the book demonstrates practical utility in the field of Spatial Reasoning. Readers can see these concepts in action through specific examples drawn from Behavioral Robotics. Whether you are studying formal logic or developing autonomous systems, this Springer publication offers a specialized look at how part-based reasoning functions when certainty is unavailable.

Key Features

Introduces Rough Mereology as a specialized tool for reasoning under uncertainty and imprecise data.

Connects traditional Lesniewski mereology with modern Fuzzy Set Theory and Rough Set Theory ideas.

Develops a mathematical framework based on the concept of a part to a degree.

Provides practical applications for Spatial Reasoning through real-world examples.

Includes specific use cases from the field of Behavioral Robotics to illustrate theory.

Part of the Intelligent Systems Reference Library (Volume 20) for academic study.

Product Specifications

Format
Paperback
Domain
Amazon UK
Release Date
27 November 2013
Listed Since
13 August 2013

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