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Titlebook: Agents and Multi-agent Systems: Technologies and Applications 2023; Proceedings of 17th Gordan Jezic,J. Chen-Burger,Lakhmi C. Jain Confere

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發(fā)表于 2025-3-21 18:30:59 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Agents and Multi-agent Systems: Technologies and Applications 2023
期刊簡(jiǎn)稱Proceedings of 17th
影響因子2023Gordan Jezic,J. Chen-Burger,Lakhmi C. Jain
視頻videohttp://file.papertrans.cn/152/151245/151245.mp4
發(fā)行地址Presents research works in the field of agents and multi-agent systems.Provides original works presented at AMSTA 2023 held in Rome, Italy.Serves as a reference for researchers and practitioners in ac
學(xué)科分類Smart Innovation, Systems and Technologies
圖書封面Titlebook: Agents and Multi-agent Systems: Technologies and Applications 2023; Proceedings of 17th  Gordan Jezic,J. Chen-Burger,Lakhmi C. Jain Confere
影響因子This book highlights new trends and challenges in research on agents and the new digital and knowledge economy. It includes papers on business process management, agent-based modeling and simulation and anthropic-oriented computing that were originally presented at the 17th International KES Conference on Agents and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2023), held in Rome, Italy, in June 14–16, 2023. The respective papers cover topics such as software agents, multi-agent systems, agent modeling, mobile and cloud computing, big data analysis, business intelligence, artificial intelligence, social systems, computer embedded systems and nature-inspired manufacturing, all of which contribute to the modern digital economy..
Pindex Conference proceedings 2023
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Data Discretization for?Data Stream Miningnstraints should be taken into consideration to cope with discretization in data stream scenarios. In this paper, we discuss the discretization process for data stream scenarios. In this setting, we examine the proposed algorithms in the literature, their limitations and the new challenges. Also, we
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Multi-agent Modal Logic Evaluating Implicit Information by introduction a new modal operation .. The truth of this operation is determined in a way by implicit information: it is true only if the number of states where the formula . is true is strictly less than the number of states where the formula . is true. From mathematical point of view, the paper
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Multisectoral Household Location Agent-Based Simulation for Testing Policy Decisionsto reduce greenhouse gas emissions. A LUTI (Land Use and Transport Interaction) model’s objectives is to represent and simulate the interactions between an agglomeration’s population through its residential decisions, and transportation used to meet daily mobility needs. In this article, we propose
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