Titlebook: Massively Multi-Agent Systems II; International Worksh Donghui Lin,Toru Ishida,Itsuki Noda Conference proceedings 2019 Springer Nature Swit

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割让

Conference proceedings 2019ockholm, Sweden, in July 2018..The 7 revised full papers presented were carefully reviewed and selected for inclusion in this volume. Also included are 3 post-workshop papers. The papers discuss enabling technologies, new architectures, promising applications, and challenges of massively multi-agent

观点

Inverse Reinforcement Learning for Agents Behavior in a Crowd Simulatoraviors by examples. The goal of the system is to provide to the agents a realistic behavior model and a method to orient themselves without knowing the scenario’s layout, based in learnt patterns around environment features.

分解

BASIC: Towards a Blockchained Agent-Based SImulator for Cities Cambridge (Massachusetts, USA). In this research, the relevant literature was explored, new methods were developed and different solutions were designed and tested. Finally, conclusions about the feasibility of the combination between blockchain technology and agent-based simulations were drawn.

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CARAVAN: A Framework for Comprehensive Simulations on Massive Parallel Machinesacuation planning problem in an urban area. We formulated the problem as a multi-objective optimization problem, and searched for solutions using multi-agent simulations and a multi-objective evolutionary algorithm, which were developed as modules of the framework.

Fulsome

0302-9743 held in Stockholm, Sweden, in July 2018..The 7 revised full papers presented were carefully reviewed and selected for inclusion in this volume. Also included are 3 post-workshop papers. The papers discuss enabling technologies, new architectures, promising applications, and challenges of massively m

表状态

缝纫

0302-9743 ulti-agent systems in the era of IoT. They are organized in the following topical sections: multi-agent systems and Internet of Things; architectures for massively multi-agent systems; and applications of massively multi-agent systems..978-3-030-20936-0978-3-030-20937-7Series ISSN 0302-9743 Series E-ISSN 1611-3349