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Multi Agent Based Simulation XX 1st Edition by Mario Paolucci, Jaime Simão Sichman, Harko Verhagen ISBN 9783030608422 3030608425

Name: Multi Agent Based Simulation XX 1st Edition by Mario Paolucci, Jaime Simão Sichman, Harko Verhagen ISBN 9783030608422 3030608425
SKU: EB-32710782
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Multi Agent Based Simulation XX 20th International Workshop MABS 2019 Montreal QC Canada May 13 2019 Revised Selected Papers Mario Paolucci Digital Instant Download

Author(s): Mario Paolucci, Jaime Simão Sichman, Harko Verhagen

ISBN(s): 9783030608422, 9783030608439, 3030608425, 3030608433

Edition: 1st ed.

File Details: PDF, 15.12 MB

Year: 2020

Language: English

SKU: EB-32710782 Category: Computers Tags: Harko Verhagen, Jaime Simão Sichman, Mario Paolucci

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Multi Agent Based Simulation XX 1st Edition by Mario Paolucci, Jaime Simão Sichman, Harko Verhagen – Ebook PDF Instant Download/Delivery: 9783030608422 ,3030608425
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ISBN 10: 3030608425
ISBN 13: 9783030608422
Author: Mario Paolucci, Jaime Simão Sichman, Harko Verhagen

This 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.

Multi Agent Based Simulation XX 1st Edition Table of contents:

Constructing 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 Diffusion Model with Vigilant Agents and Deliberation
Agent Based Simulation of the Dengue Virus Propagation
Agents with Dynamic Social Norms

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Tags: Mario Paolucci, Jaime Simão Sichman, Harko Verhagen, Multi Agent, Simulation