TY  - BOOK
AU  - Crocker,Matthew W.
AU  - Siekmann,Jörg
ED  - SpringerLink (Online service)
TI  - Resource-Adaptive Cognitive Processes
T2  - Cognitive Technologies,
SN  - 9783540894087
AV  - Q334-342 
U1  - 006.3 23
PY  - 2010///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
KW  - Computer science
KW  - Artificial intelligence
KW  - Computational linguistics
KW  - Computer Science
KW  - Artificial Intelligence (incl. Robotics)
KW  - Computational Linguistics
KW  - User Interfaces and Human Computer Interaction
KW  - Models and Principles
N1  - 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
UR  - http://dx.doi.org/10.1007/978-3-540-89408-7
ER  -