£116.80

Springer Machine Learning, Meta-Reasoning and Logics Book

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Description

Explore foundational concepts in Artificial Intelligence with Machine Learning, Meta-Reasoning and Logics. This volume, part of the Springer International Series in Engineering and Computer Science, presents a curated selection of papers from the International Workshop held in Sesimbra, Portugal. This collection addresses the intersection of several key AI disciplines, including Machine Learning, Belief Revision, Meta-Reasoning, and Logics. The content focuses on the development of cognitive architectures designed for systems that can learn from experience, revise their existing beliefs, and engage in reasoning about their own processes. Whether you are researching cognitive architectures or studying the evolution of machine learning and logic, this book provides academic insights into how these fields overlap. It serves as a technical resource for understanding the historical and theoretical frameworks that drive intelligent system design.

Key Features

Covers essential AI fields including Machine Learning, Belief Revision, Meta-Reasoning, and Logics.

Includes professionally edited papers from the International Workshop held in Sesimbra, Portugal.

Focuses on the development of cognitive architectures for advanced intelligent systems.

Explores how systems can learn from experience and revise their internal beliefs.

Part of the Springer International Series in Engineering and Computer Science (Volume 82).

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
31 October 1989
Listed Since
15 December 2006

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No barcode data available

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