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Springer Machine Learning, Meta-Reasoning and Logics Book

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Description

Explore the foundational developments in artificial intelligence with Machine Learning, Meta-Reasoning and Logics. This volume from The Springer International Series in Engineering and Computer Science contains a curated selection of papers from the International Workshop held in Sesimbra, Portugal. This collection brings together expert research to address complex issues across several key fields of AI, including Machine Learning, Belief Revision, Meta-Reasoning, and Logics. The content focuses on the development of cognitive architectures, specifically looking at how systems can be designed to learn from experience, revise their existing beliefs, and reason about their own processes. For researchers and students in computer science, this book provides a detailed look at the intersection of these disciplines. It offers valuable insights into how integrated systems can achieve higher levels of intelligence through advanced reasoning and learning capabilities. This text serves as a significant record of the academic discussions and breakthroughs presented during the 1988 workshop.

Key Features

Comprehensive collection of papers from the International Workshop on Machine Learning, Meta-Reasoning and Logics held in Portugal.

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

Focuses on the development of cognitive architectures for advanced artificial intelligence systems.

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

Part of The Springer International Series in Engineering and Computer Science, Volume 82.

Provides academic research on systems capable of reasoning about their own processes.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
08 October 2011
Listed Since
21 December 2012

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