integrating Marker Passing and Problem Solving

A Spreading Activation Approach To Improved Choice in Planning
1. Auflage 1987
ISBN: 978-0-89859-982-4
Verlag: Psychology Press

Buch, Englisch, 318 Seiten, Format (B × H): 157 mm x 235 mm, Gewicht: 613 g

Reihe: Artificial Intelligence Series

A recent area of interest in the Artificial Intelligence community has been the application of massively parallel algorithms to enhance the choice mechanism in traditional AI problems. This volume provides a detailed description of how marker-passing -- a parallel, non-deductive, spreading activation algorithm -- is a powerful approach to refining the choice mechanisms in an AI problem-solving system.

The author scrutinizes the design of both the algorithm and the system, and then reviews the current literature and research in planning and marker passing. Also included: a comparison of this computer model with some standard cognitive models, and a comparison of this model to the "connectionist" approach.

Autoren/Hrsg.

Hendler, James A.

Fachgebiete

• Sozialwissenschaften Psychologie Allgemeine Psychologie Kognitionspsychologie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Contents: Foundations. Introduction. On Problem-Solving and Planning. On Marker-Passing and Spreading Activation. Integrating Marker-Passing and Problem-Solving -- The Inside Story. Inside the Path Evaluator. Designing a Marker-Passer. C-SCRAPS -- Adding Concurrency. Cognitive Aspects. On Marker-Passing and Connectionism. SCRAPS in Action. Conclusion.

Über Autor(innen)

James A. Hendler Department of Computer Science, The University of Maryland