000 | 03598nam a22006495i 4500 | ||
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001 | 978-3-540-45002-3 | ||
003 | DE-He213 | ||
005 | 20240423132556.0 | ||
007 | cr nn 008mamaa | ||
008 | 121227s2003 gw | s |||| 0|eng d | ||
020 |
_a9783540450023 _9978-3-540-45002-3 |
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024 | 7 |
_a10.1007/b11711 _2doi |
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050 | 4 | _aQ334-342 | |
050 | 4 | _aTA347.A78 | |
072 | 7 |
_aUYQ _2bicssc |
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072 | 7 |
_aCOM004000 _2bisacsh |
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072 | 7 |
_aUYQ _2thema |
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082 | 0 | 4 |
_a006.3 _223 |
245 | 1 | 0 |
_aAnticipatory Behavior in Adaptive Learning Systems _h[electronic resource] : _bFoundations, Theories, and Systems / _cedited by Martin V. Butz, Olivier Sigaud, Pierre Gérard. |
250 | _a1st ed. 2003. | ||
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2003. |
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300 |
_aX, 303 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v2684 |
|
505 | 0 | _aAnticipatory Behavior: Exploiting Knowledge About the Future to Improve Current Behavior -- Philosophical Considerations -- Whose Anticipations? -- Not Everything We Know We Learned -- From Cognitive Psychology to Cognitive Systems -- Anticipatory Behavioral Control -- Towards a Four Factor Theory of Anticipatory Learning -- Formulations, Distinctions, and Characteristics -- Internal Models and Anticipations in Adaptive Learning Systems -- Mathematical Foundations of Discrete and Functional Systems with Strong and Weak Anticipations -- Anticipation Driven Artificial Personality: Building on Lewin and Loehlin -- A Framework for Preventive State Anticipation -- Symbols and Dynamics in Embodied Cognition: Revisiting a Robot Experiment -- Systems, Evaluations, and Applications -- Forward and Bidirectional Planning Based on Reinforcement Learning and Neural Networks in a Simulated Robot -- Sensory Anticipation for Autonomous Selection of Robot Landmarks -- Representing Robot-Environment Interactions by Dynamical Features of Neuro-controllers -- Anticipatory Guidance of Plot -- Exploring the Value of Prediction in an Artificial Stock Market -- Generalized State Values in an Anticipatory Learning Classifier System. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aControl engineering. | |
650 | 0 | _aRobotics. | |
650 | 0 | _aAutomation. | |
650 | 0 | _aComputer science. | |
650 | 0 | _aAlgorithms. | |
650 | 0 |
_aSocial sciences _xData processing. |
|
650 | 1 | 4 | _aArtificial Intelligence. |
650 | 2 | 4 | _aControl, Robotics, Automation. |
650 | 2 | 4 | _aTheory of Computation. |
650 | 2 | 4 | _aAlgorithms. |
650 | 2 | 4 | _aComputer Application in Social and Behavioral Sciences. |
700 | 1 |
_aButz, Martin V. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aSigaud, Olivier. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aGérard, Pierre. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783540404293 |
776 | 0 | 8 |
_iPrinted edition: _z9783662204177 |
830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v2684 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/b11711 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
912 | _aZDB-2-LNC | ||
912 | _aZDB-2-BAE | ||
942 | _cSPRINGER | ||
999 |
_c189305 _d189305 |