£108.01

Springer Universal Subgoaling and Chunking - AI Research Book

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Description

Explore the foundational principles of goal hierarchies with Universal Subgoaling and Chunking: The Automatic Generation and Learning of Goal Hierarchies. Part of the Springer International Series in Engineering and Computer Science, this volume presents research that traces back to the Instructible Production System (IPS) project at Carnegie-Mellon University. This book offers a unique look at how research paths can diverge and converge to advance the field of computer science. It details the evolution of production systems, beginning with the work of John Laird and Paul Rosenbloom in the late 1970s. Readers will gain insight into the historical context and the technical developments that shaped how machines approach complex tasks through subgoaling and chunking methods. Designed for students and professionals in AI and machine learning, this text provides a deep dive into the academic history and the technical frameworks used to build more efficient production systems. It is an essential resource for understanding the development of automated goal hierarchies in computer science.

Key Features

Part of the Springer International Series in Engineering and Computer Science for academic depth.

Covers the history of the Instructible Production System (IPS) project at Carnegie-Mellon University.

Provides detailed research on the automatic generation and learning of goal hierarchies.

Explores the evolution of production systems from small and special models to complex structures.

Includes foundational work from researchers like John Laird and Paul Rosenbloom.

Product Specifications

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

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