Resource-Adaptive Cognitive Processes
Crocker, Matthew W.
Resource-Adaptive Cognitive Processes [recurso electrónico] / edited by Matthew W. Crocker, Jörg Siekmann. - XI, 423p. 151 illus., 72 illus. in color. online resource. - Cognitive Technologies, 1611-2482 . - Cognitive Technologies, .
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.
The contributions to this volume are drawn from the interdisciplinary research c- ried out within the Sonderforschungsbereich (SFB 378), a special long-term funding scheme of the German National Science Foundation (DFG). Sonderforschungsbe- ich 378 was situated at Saarland University, with colleagues from arti?cial intel- gence, computational linguistics, computer science, philosophy, psychology – and in its ?nal phases – cognitive neuroscience and psycholinguistics. The funding covered a period of 12 years, which was split into four phases of 3 years each, ending in December of 2007. Every sub-period culminated in an intensive reviewing process, comprising written reports as well as on-site p- sentations and demonstrations to the external reviewers. We are most grateful to these reviewers for their extensive support and critical feedback; they contributed 1 their time and labor freely to the DFG, the independent and self-organized ins- tution of German scientists. The ?nal evaluation of the DFG reviewers judged the overall performance and the actual work with the highest possible mark, i.e. “excellent”.
9783540894087
Computer science.
Artificial intelligence.
Computational linguistics.
Computer Science.
Artificial Intelligence (incl. Robotics).
Computational Linguistics.
User Interfaces and Human Computer Interaction.
Models and Principles.
Q334-342 TJ210.2-211.495
006.3
Resource-Adaptive Cognitive Processes [recurso electrónico] / edited by Matthew W. Crocker, Jörg Siekmann. - XI, 423p. 151 illus., 72 illus. in color. online resource. - Cognitive Technologies, 1611-2482 . - Cognitive Technologies, .
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.
The contributions to this volume are drawn from the interdisciplinary research c- ried out within the Sonderforschungsbereich (SFB 378), a special long-term funding scheme of the German National Science Foundation (DFG). Sonderforschungsbe- ich 378 was situated at Saarland University, with colleagues from arti?cial intel- gence, computational linguistics, computer science, philosophy, psychology – and in its ?nal phases – cognitive neuroscience and psycholinguistics. The funding covered a period of 12 years, which was split into four phases of 3 years each, ending in December of 2007. Every sub-period culminated in an intensive reviewing process, comprising written reports as well as on-site p- sentations and demonstrations to the external reviewers. We are most grateful to these reviewers for their extensive support and critical feedback; they contributed 1 their time and labor freely to the DFG, the independent and self-organized ins- tution of German scientists. The ?nal evaluation of the DFG reviewers judged the overall performance and the actual work with the highest possible mark, i.e. “excellent”.
9783540894087
Computer science.
Artificial intelligence.
Computational linguistics.
Computer Science.
Artificial Intelligence (incl. Robotics).
Computational Linguistics.
User Interfaces and Human Computer Interaction.
Models and Principles.
Q334-342 TJ210.2-211.495
006.3
