Resource-Adaptive Cognitive Processes

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".

Contenu
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 HumanMachine 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.