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Springer Machine Learning, Meta-Reasoning and Logics - Springer Series 82

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Description

This academic volume collects papers from the International Workshop on Machine Learning, Meta-Reasoning and Logics held in Sesimbra, Portugal in February 1988. The book brings together research across multiple artificial intelligence disciplines including machine learning, belief revision, meta-reasoning and logics. Contributors explore how to build cognitive architectures for systems capable of learning from experience, revising their beliefs dynamically and reasoning about complex problems. The edited papers address both common themes and emerging challenges at the intersection of these foundational AI fields, making it essential reading for researchers and practitioners working on intelligent systems that combine learning capabilities with advanced reasoning mechanisms.

Key Features

Springer International Series in Engineering and Computer Science volume 82 featuring peer-reviewed research from an international workshop.

Covers four major AI domains: machine learning, belief revision, meta-reasoning and logics in a unified framework.

Papers focus on developing cognitive architectures that enable systems to learn from experience and revise beliefs.

Presents research from leading experts who examined how reasoning and learning integrate in artificial intelligence systems.

Edited collection providing a comprehensive snapshot of AI research directions from the late 1980s academic landscape.

Product Specifications

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

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