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Springer Fundamentals of Uncertainty Calculi - Theory Library

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Description

Explore the complexities of intelligent systems with Fundamentals of Uncertainty Calculi with Applications to Fuzzy Inference. This volume from the Springer Theory and Decision Library B examines the engineering efforts required to implement smarter machines through the emulation of human reasoning. As researchers work to model reasoning processes, this text addresses the challenges of working with limited and imprecise knowledge. It provides a foundation for understanding how machines can utilize general human knowledge and reasoning capabilities to function more effectively. This book is designed for those studying how to bridge the gap between human learning mechanisms and machine implementation in the field of intelligent systems.

Key Features

Examines the engineering efforts involved in implementing intelligent systems and smart machines.

Provides insights into modeling human reasoning processes from various scientific points of view.

Addresses the specific challenges of reasoning with limited and imprecise knowledge.

Part of the Springer Theory and Decision Library B for academic and professional study.

Explores the relationship between human learning mechanisms and machine reasoning capabilities.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
30 November 1994
Listed Since
15 February 2007

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No barcode data available

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