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008			100316s2010 gw | s |||| 0|eng d
020			_a9783540894087 _9978-3-540-89408-7
040			_cMX-MeUAM
050		4	_aQ334-342
050		4	_aTJ210.2-211.495
082	0	4	_a006.3 _223
100	1		_aCrocker, Matthew W. _eeditor.
245	1	0	_aResource-Adaptive Cognitive Processes _h[recurso electrónico] / _cedited by Matthew W. Crocker, Jörg Siekmann.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2010.
300			_aXI, 423p. 151 illus., 72 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aCognitive Technologies, _x1611-2482
505	0		_aResource-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.
520			_aThe 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”.
650		0	_aComputer science.
650		0	_aArtificial intelligence.
650		0	_aComputational linguistics.
650	1	4	_aComputer Science.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aComputational Linguistics.
650	2	4	_aUser Interfaces and Human Computer Interaction.
650	2	4	_aModels and Principles.
700	1		_aSiekmann, Jörg. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783540894070
830		0	_aCognitive Technologies, _x1611-2482
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-540-89408-7
596			_a19
942			_cLIBRO_ELEC
999			_c201180 _d201180