integrating Marker Passing and Problem Solving - A Spreading Activation Approach To Improved Choice in Planning

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.

Sommario

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.

Info autore

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

Dettagli sul prodotto

• Autori: James A Hendler, James A. Hendler, Hendler James A.
• Editore: Taylor and Francis
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 01.11.1987
• EAN: 9780898599824
• ISBN: 978-0-89859-982-4
• Pagine: 318
• Peso: 680 g
• Serie: Artificial Intelligence Series
• Categorie: Saggistica > Psicologia, esoterismo, spiritualità, antroposofia > Psicologia: tematiche generali, opere di consultazione; Scienze umane, arte, musica > Pedagogia > Istruzione; Artificial Intelligence, PSYCHOLOGY / Cognitive Psychology & Cognition, Cognition & cognitive psychology, Cognition and cognitive psychology, COMPUTERS / Artificial Intelligence / General