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020 _a9783030608439
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024 7 _a10.1007/978-3-030-60843-9
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
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082 0 4 _a006.3
_223
245 1 0 _aMulti-Agent-Based Simulation XX
_h[electronic resource] :
_b20th International Workshop, MABS 2019, Montreal, QC, Canada, May 13, 2019, Revised Selected Papers /
_cedited by Mario Paolucci, Jaime Simão Sichman, Harko Verhagen.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXI, 125 p. 17 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v12025
505 0 _aConstructing an Agent Taxonomy from a Simulation through Topological Data Analysis -- Modeling Pedestrian Behavior Under Panic During a Fire Emergency -- Reinforcement Learning of Supply Chain Control Policy using Closed Loop Multi-Agent Simulation -- On Developing A More Comprehensive Decision-Making Architecture for Empirical Social Research: Agent-Based Simulation of Mobility Demands in Switzerland -- Modelling policy shift advocacy -- A collective action simulation platform -- An Opinion DiffusionModel with Vigilant Agents and Deliberation -- Agent based simulation of the dengue virus propagation -- Agents with Dynamic Social Norms.
520 _aThis book constitutes the thoroughly refereed post-conference proceedings of the 20th International Workshop on Multi-Agent-Based Simulation, MABS 2019, held in Montreal, QC, Canada, in May 2019 as part of the AAMAS 2019, the 18th International Conference on Autonomous Agents and Multiagent Systems. The 9 revised full papers included in this volume were carefully selected from 15 submissions. They focus on finding efficient solutions to model complex social systems in such areas as economics, management, and organisational and social sciences. In all these areas, agent theories, metaphors, models, analysis, experimental designs, empirical studies, and methodological principles, converge into simulation as a way of achieving explanations and predictions, exploration and testing of hypotheses, better designs and systems.
650 0 _aArtificial intelligence.
650 0 _aComputer engineering.
650 0 _aComputer networks .
650 0 _aSoftware engineering.
650 0 _aComputers.
650 0 _aSocial sciences
_xData processing.
650 1 4 _aArtificial Intelligence.
650 2 4 _aComputer Engineering and Networks.
650 2 4 _aSoftware Engineering.
650 2 4 _aComputing Milieux.
650 2 4 _aComputer Application in Social and Behavioral Sciences.
700 1 _aPaolucci, Mario.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aSichman, Jaime Simão.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aVerhagen, Harko.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030608422
776 0 8 _iPrinted edition:
_z9783030608446
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v12025
856 4 0 _uhttps://doi.org/10.1007/978-3-030-60843-9
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912 _aZDB-2-SXCS
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