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Titlebook: Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems; International Worksh Javier Bajo,Zita Vale,Johan Holmgren Confe

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發(fā)表于 2025-3-21 20:04:20 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems
副標(biāo)題International Worksh
編輯Javier Bajo,Zita Vale,Johan Holmgren
視頻videohttp://file.papertrans.cn/428/427021/427021.mp4
概述Includes supplementary material:
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems; International Worksh Javier Bajo,Zita Vale,Johan Holmgren Confe
描述This book constitutes the refereed proceedings of the nine workshops co-located with the 15th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2017, held in Porto, Portugal, in June 2017.The 41 full papers presented were carefully reviewed and selected from 80 submissions. The volume presents the papers that have been accepted for the following workshops:?Workshop on Agent based Applications for Air Transport and Application of Agents to Passenger Transport;?Workshop on Agent-based Artificial Markets Computational Economics;?Workshop on Agents and Multi-agent Systems for AAL and e-HEALTH;?Workshop on Agent-Based Solutions for Manufacturing and Supply Chain; Workshop on MAS for Complex Networks and Social Computation;?Workshop on Decision Making in Dynamic Information Environments;?Workshop on Multi-agent based Applications for Smart Grids and Sustainable Energy Systems;?Workshop on Multiagent System based Learning Environments;?Workshop on Smart Cities and Intelligent Agents..
出版日期Conference proceedings 2017
關(guān)鍵詞Ambient Assisted Living (AAL); artificial intelligence; autonomous agents; complex systems; computer net
版次1
doihttps://doi.org/10.1007/978-3-319-60285-1
isbn_softcover978-3-319-60284-4
isbn_ebook978-3-319-60285-1Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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Argumentation in the Re-accommodation of Airline Passengers Using Mobile Devicese scheduled plan. When the normal functioning is affected by an unexpected event, disruption management appears in order to solve all possible issues. From aircraft to passenger, operation control centers have to effectively fix all the disrupted parts in the fastest time possible minimizing at the
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A Cost-Optimization Model in Multi-agent System Routing for Drone Deliveryivery is one of the most promising applications to deliver packages efficiently. However, there are still doubts like “How to overcome the drone’s limited capacity and battery life?”. This paper will show a proposal to solve this problem by collaborating a drone delivery system with existing public
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Microsimulation Travel Models in Practice in the US and Prospects for Agent-Based Approach techniques already in practice. It provides practical examples where AgBM proved to be useful and looks as a promising way to improve the model structures. The new AgBM features include: (1) making individual agents (households and persons) “intelligent” by having individual memory and dynamic stat
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On Simulating the Adoption of New Products in Markets with Rational Users and Companiesical markets that represent the launching of a digital device and the launching of a digital platform. We find that consumers’ heterogeneity and information spread are key in determining prices and the adoption of technologies/products. We find highly differentiated markets reach lower adoption leve
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Optimality of a Two-Tier Rate Structure for a Transaction Tax in an Artificial Marketare of a risky asset. A market maker is in charge to optimally set the level of taxation in order to obtain a desired mixture of activity and volatility. We show that, depending on the liquidity of the market, two possible regimes of optimal taxation emerge: a non-negligible level of taxation for hi
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發(fā)表于 2025-3-23 05:27:42 | 只看該作者
Evolving Trading Signals at Foreign Exchange Marketge market. It is among the largest financial markets. “Technical” traders base their decisions on a set of technical rules evolved from past market activity. We employ a genetic algorithm to learn a set of profitable trading rules considering transaction costs; each rule generates a ‘buy’, ‘hold’, o
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