000 | 03424nam a22005895i 4500 | ||
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001 | 978-3-540-76539-4 | ||
003 | DE-He213 | ||
005 | 20240423130009.0 | ||
007 | cr nn 008mamaa | ||
008 | 100301s2007 gw | s |||| 0|eng d | ||
020 |
_a9783540765394 _9978-3-540-76539-4 |
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024 | 7 |
_a10.1007/978-3-540-76539-4 _2doi |
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050 | 4 | _aQA76.9.C65 | |
072 | 7 |
_aUYM _2bicssc |
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072 | 7 |
_aCOM072000 _2bisacsh |
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_aUYM _2thema |
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082 | 0 | 4 |
_a003.3 _223 |
245 | 1 | 0 |
_aMulti-Agent-Based Simulation VII _h[electronic resource] : _bInternational Workshop, MABS 2006, Hakodate, Japan, May 8, 2006, Revised and Invited Papers / _cedited by Luis Antunes, Keiki Takadama. |
250 | _a1st ed. 2007. | ||
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2007. |
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300 |
_aX, 194 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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_atext file _bPDF _2rda |
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490 | 1 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v4442 |
|
505 | 0 | _aInvited Papers -- Exploring the Vast Parameter Space of Multi-Agent Based Simulation -- Applications of Agent Based Simulation -- Empirical Cross Studies -- Analyzing Dynamics of Peer-to-Peer Communication -From Questionnaire Surveys to Agent-Based Simulation -- Modeling Human Education Data: From Equation-Based Modeling to Agent-Based Modeling -- Experimental Ecology -- Contrasting a System Dynamics Model and an Agent-Based Model of Food Web Evolution -- Roost Size for Multilevel Selection of Altruism Among Vampire Bats -- Experimental Economics -- Tactical Exploration of Tax Compliance Decisions in Multi-agent Based Simulation -- Learning to Use a Perishable Good as Money -- Foundations and Methodologies -- A Holonic Approach to Model and Deploy Large Scale Simulations -- Concurrent Modeling of Alternative Worlds with Polyagents -- Learning -- Integrating Learning and Inference in Multi-agent Systems Using Cognitive Context -- Can Agents Acquire Human-Like Behaviors in a Sequential Bargaining Game? – Comparison of Roth’s and Q-Learning Agents – -- Social Dependence -- Quantifying Degrees of Dependence in Social Dependence Relations. | |
650 | 0 | _aComputer simulation. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aComputer networks . | |
650 | 0 |
_aSocial sciences _xData processing. |
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650 | 0 | _aApplication software. | |
650 | 1 | 4 | _aComputer Modelling. |
650 | 2 | 4 | _aArtificial Intelligence. |
650 | 2 | 4 | _aComputer Communication Networks. |
650 | 2 | 4 | _aComputer Application in Social and Behavioral Sciences. |
650 | 2 | 4 | _aComputer and Information Systems Applications. |
700 | 1 |
_aAntunes, Luis. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aTakadama, Keiki. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783540765363 |
776 | 0 | 8 |
_iPrinted edition: _z9783540845683 |
830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v4442 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-540-76539-4 |
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912 | _aZDB-2-SXCS | ||
912 | _aZDB-2-LNC | ||
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999 |
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