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Modern Information Processing

Modern Information Processing

From Theory to Applications
MathematicsScience
Pages
478
Published
2006
Language
English

Synopsis

This volume explores the latest advancements in information processing, bringing together insights from leading experts in the field. It examines critical areas such as information theory, artificial intelligence, and the complexities of uncertainty in data. Readers will find discussions on computer applications, business intelligence tools, and the evolving landscape of AI semantics and expert systems. The collection offers a comprehensive overview of modern challenges and innovations in handling and interpreting information.

Prose complexity
10/10

Vibe

InformativeIntellectualComplex

Genres

Mathematics Science Technology

Authors

B
Bernadette Bouchon-Meunier

Bernadette Bouchon-Meunier writes on specialized topics in artificial intelligence. Her book, Uncertainty in Knowledge Bases, is a key text for understanding information theory. It's a solid choice for anyone studying the complexities of AI systems.

R
Ronald R. Yager

Ronald R. Yager is a leading voice in soft computing and knowledge bases. He is recognized for books like "Uncertainty in Knowledge Bases" and "Recent Developments and the New Direction in Soft-Computing Foundations and Applications," which explore foundational concepts and new applications in the field.