£120.83

Springer Knowledge Engineering Tools and Techniques for AI Planning

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Description

This comprehensive guide by Dr Diane Kitchin explores the essential methodologies and practical applications of knowledge engineering within AI planning systems. Drawing on decades of research at the University of Huddersfield, the book addresses Object-Centred Planning, portfolio-based planning approaches, and domain model acquisition strategies that professionals need to implement effective AI solutions. Kitchin's published work in the Journal of Knowledge Engineering and the International Journal on Artificial Intelligence Tools provides a strong foundation for understanding how to bridge the gap between theoretical AI concepts and real-world planning implementations. Whether you are developing planning systems, designing knowledge bases, or optimising domain models, this resource offers proven techniques and methodologies to enhance your understanding of AI planning frameworks and knowledge acquisition processes.

Key Features

Written by Dr Diane Kitchin, a Senior Lecturer specialising in AI Planning and Knowledge Engineering research at the University of Huddersfield.

Covers Object-Centred Planning methodologies and domain model acquisition techniques essential for building effective AI planning systems.

Includes portfolio-based planning strategies and practical tools for knowledge engineers implementing AI solutions.

Published by Springer with peer-reviewed contributions from the Journal of Knowledge Engineering and International Journal on Artificial Intelligence Tools.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
26 March 2020
Listed Since
29 November 2019

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