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_a10.1007/978-3-030-66888-4 _2doi |
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_aMulti-Agent-Based Simulation XXI _h[electronic resource] : _b21st International Workshop, MABS 2020, Auckland, New Zealand, May 10, 2020, Revised Selected Papers / _cedited by Samarth Swarup, Bastin Tony Roy Savarimuthu. |
250 | _a1st ed. 2021. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2021. |
|
300 |
_aIX, 107 p. 43 illus., 40 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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490 | 1 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v12316 |
|
505 | 0 | _aAdaptivity in distributed agent-based simulation: A generic load-balancing approach -- Trajectory Modelling in Shared Spaces: Expert-Based vs. Deep Learning Approach? -- Towards Agent-Based Traffic Simulation Using Live Data from Sensors for Smart Cities -- Design and Evaluations of Multi-Agent Simulation Model for Electric Power Sharing among Households -- Active Screening on Recurrent Diseases Contact Networks with Uncertainty: a Reinforcement Learning Approach -- Impact of meta-roles on the evolution of organizational institutions -- Optimization of Large-scale Agent-based Simulations through Automated Abstraction and Simplification -- Improved Travel Demand Modeling with Synthetic Populations. | |
520 | _aThis book constitutes the thoroughly refereed post-conference proceedings of the 20th International Workshop on Multi-Agent-Based Simulation, MABS 2020, held in Auckland, New Zealand, in May 2020 collocated with 19th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2020). Due to COVID-19 the workshop has been held online. The 9 revised full papers included in this volume were carefully selected from 11 submissions. The workshop focused on finding efficient solutions to model complex social systems, in such areas as economics, management, organizational and social sciences in general and much more. . | ||
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aCoding theory. | |
650 | 0 | _aInformation theory. | |
650 | 0 |
_aSocial sciences _xData processing. |
|
650 | 0 | _aSoftware engineering. | |
650 | 0 | _aApplication software. | |
650 | 0 | _aComputer engineering. | |
650 | 0 | _aComputer networks . | |
650 | 1 | 4 | _aArtificial Intelligence. |
650 | 2 | 4 | _aCoding and Information Theory. |
650 | 2 | 4 | _aComputer Application in Social and Behavioral Sciences. |
650 | 2 | 4 | _aSoftware Engineering. |
650 | 2 | 4 | _aComputer and Information Systems Applications. |
650 | 2 | 4 | _aComputer Engineering and Networks. |
700 | 1 |
_aSwarup, Samarth. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aSavarimuthu, Bastin Tony Roy. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783030668877 |
776 | 0 | 8 |
_iPrinted edition: _z9783030668891 |
830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v12316 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-66888-4 |
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