Resource-adaptive Cognitive Processes

Crocker, Matthew W. (Editor)/ Siekmann, Jorg (Editor)

ISBN 10: 3642262589 / ISBN 13: 9783642262586

Editore: Springer-Verlag New York Inc, 2012

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2010 edition. 436 pages. 9.20x6.10x0.89 inches. In Stock.

Codice articolo x-3642262589

Dati bibliografici

• Titolo: Resource-adaptive Cognitive Processes
• Editore: Springer-Verlag New York Inc
• Data di pubblicazione: 2012
• Lingua: Inglese
• ISBN 10: 3642262589
• ISBN 13: 9783642262586
• Rilegatura: Paperback
• Condizione: Brand New

Descrizione articolo

Riassunto

This book explores the adaptation of cognitive processes to limited resources. It deals with resource-bounded and resource-adaptive cognitive processes in human information processing and human-machine systems plus the related technology transfer issues.

Contenuti

Resource-Adaptive Cognitive Processes.- I – Resource-Bounded Cognitive Processes in Human Information Processing.- Visuo-spatialWorking Memory as a Limited Resource of Cognitive Processing.- From Resource-Adaptive Navigation Assistance to Augmented Cognition.- Error-Induced Learning as a Resource-Adaptive Process in Young and Elderly Individuals.- An ERP-Approach to Study Age Differences in Cognitive Control Processes.- Simulating Statistical Power in Latent Growth Curve Modeling: A Strategy for Evaluating Age-Based Changes in Cognitive Resources.- Conflicting Constraints in Resource-Adaptive Language Comprehension.- The Evolution of a Connectionist Model of Situated Human Language Understanding.- II – Resource-Adaptive Processes in Human―Machine Interaction.- Assessment of a User’s Time Pressure and Cognitive Load on the Basis of Features of Speech.- The Shopping Experience of Tomorrow: Human-Centered and Resource-Adaptive.- Seamless Resource-Adaptive Navigation.- Linguistic Processing in a Mathematics Tutoring System: Cooperative Input Interpretation and Dialogue Modelling.- Resource-Bounded Modelling and Analysis of Human-Level Interactive Proofs.- III – Resource-Adaptive Rationality in Machines.- Comparison of Machine Learning Techniques for Bayesian Networks for User-Adaptive Systems.- Scope Underspecification with Tree Descriptions: Theory and Practice.- Dependency Grammar: Classification and Exploration.- ?MEGA: Resource-Adaptive Processes in an Automated Reasoning System.