£109.62

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£110 today · all-time low £108 (Sep 2026) · usually £109

Springer Universal Subgoaling and Chunking - AI Goal Hierarchies

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Description

This Springer research volume explores the automatic generation and learning of goal hierarchies through universal subgoaling and chunking techniques. The book traces the development of two parallel research paths in artificial intelligence, beginning with foundational work at Carnegie-Mellon University on the Instructible Production System. It examines how production systems evolved from small, specialised implementations into more robust frameworks for computational intelligence. The work represents a significant contribution to the computer science literature on AI and machine learning, offering insights into hierarchical goal-setting and automated learning systems. Ideal for researchers, academics, and advanced students working in artificial intelligence, machine learning, and cognitive systems.

Key Features

Published by Springer as part of The Springer International Series in Engineering and Computer Science, Volume 11.

Explores automatic generation and learning of goal hierarchies in artificial intelligence systems.

Covers foundational production system research from Carnegie-Mellon University's Instructible Production System project.

Addresses universal subgoaling and chunking techniques for computational intelligence applications.

Suitable for computer science researchers and students specialising in AI and machine learning.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
05 February 2012
Listed Since
21 December 2012

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