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Multi-agent-based simulation XXI = 21st International Workshop, MABS 2020, Auckland, New Zealand, May 10, 2020 : revised selected papers /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Multi-agent-based simulation XXI/ edited by Samarth Swarup, Bastin Tony Roy Savarimuthu.
其他題名:	21st International Workshop, MABS 2020, Auckland, New Zealand, May 10, 2020 : revised selected papers /
其他題名:	Multi-Agent-Based Simulation 21
其他作者:	Swarup, Samarth.
團體作者:	MABS (Workshop)
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	ix, 107 p. :ill., digital ;24 cm.
內容註:	Adaptivity 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.
Contained By:	Springer Nature eBook
標題:	Multiagent systems - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-030-66888-4
ISBN:	9783030668884

Multi-agent-based simulation XXI = 21st International Workshop, MABS 2020, Auckland, New Zealand, May 10, 2020 : revised selected papers /
Multi-agent-based simulation XXI21st International Workshop, MABS 2020, Auckland, New Zealand, May 10, 2020 : revised selected papers /[electronic resource] :Multi-Agent-Based Simulation 21edited by Samarth Swarup, Bastin Tony Roy Savarimuthu. - Cham :Springer International Publishing :2021. - ix, 107 p. :ill., digital ;24 cm. - Lecture notes in computer science,123160302-9743 ;. - Lecture notes in computer science ;12316..

Adaptivity 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.

This 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.

ISBN: 9783030668884

Standard No.: 10.1007/978-3-030-66888-4doiSubjects--Topical Terms:

1066491
Multiagent systems
--Congresses.

LC Class. No.: QA76.76.I58 / M33 2021

Dewey Class. No.: 006.30285436

Multi-agent-based simulation XXI = 21st International Workshop, MABS 2020, Auckland, New Zealand, May 10, 2020 : revised selected papers /
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