Architectures for Intelligence (eBook, ePUB)

The 22nd Carnegie Mellon Symposium on Cognition
Redaktion: Lehn, Kurt van

• Format: ePub

Produktbeschreibung

This unique volume focuses on computing systems that exhibit intelligent behavior. As such, it discusses research aimed at building a computer that has the same cognitive architecture as the mind -- permitting evaluations of it as a model of the mind -- and allowing for comparisons between computer performance and experimental data on human performance. It also examines architectures that permit large, complex computations to be performed -- and questions whether the computer so structured can handle these difficult tasks intelligently.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 448
• Erscheinungstermin: 14. Januar 2014
• Englisch
• ISBN-13: 9781317784753
• Artikelnr.: 40343852

Autorenporträt

Kurt Van Lehn, Kurt Van Lehn

Inhaltsangabe

Contents: Preface. Part I: Cognitive Psychology.J.R. Anderson
The Place of Cognitive Architectures in a Rational Analysis. H.A. Simon
Cognitive Architectures and Rational Analysis: Comment. J.L. McClelland
E. Jenkins
Nature
Nurture and Connections: Implications of Connectionist Models for Cognitive Development. P.S. Rosenbloom
A. Newell
J.E. Laird
Towards the Knowledge Level in Soar: The Role of the Architecture in the Use of Knowledge. W. Schneider
W.L. Oliver
An Instructable Connectionist/Control Architecture: Using Rule-Based Instructions to Accomplish Connectionist Learning in a Human Time Scale. K. VanLehn
W. Ball
Goal Reconstruction: How Teton Blends Situated Action and Planned Action. Z.N. Pylyshyn
The Role of Cognitive Architectures in Theories of Cognition. Part II: Artificial Intelligence.R.A. Brooks
How to Build Complete Creatures Rather than Isolated Cognitive Simulators. J.G. Carbonell
C.A. Knoblock
S. Minton
Prodigy: An Integrated Architecture for Planning and Learning. M.R. Genesereth
A Comparative Analysis of Some Simple Architectures for Autonomous Agents. B. Hayes-Roth
Making Intelligent Systems Adaptive. T.M. Mitchell
J. Allen
P. Chalasani
J. Cheng
O. Etzioni
M. Ringuette
J.C. Schlimmer
Theo: A Framework for Self-Improving Systems. W.J. Clancey
The Frame of Reference Problem in the Design of Intelligent Machines.