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Titlebook: Agents and Multi-Agent Systems: Technologies and Applications 2020; 14th KES Internation G. Jezic,J. Chen-Burger,Lakhmi C. Jain Conference

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發(fā)表于 2025-3-21 17:32:52 | 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 2020
期刊簡(jiǎn)稱14th KES Internation
影響因子2023G. Jezic,J. Chen-Burger,Lakhmi C. Jain
視頻videohttp://file.papertrans.cn/152/151241/151241.mp4
發(fā)行地址Includes the latest research on agents and multi-agent systems.Highlights technologies and applications of agents and multi-agent systems.Offers an excellent reference guide for researchers
學(xué)科分類Smart Innovation, Systems and Technologies
圖書封面Titlebook: Agents and Multi-Agent Systems: Technologies and Applications 2020; 14th KES Internation G. Jezic,J. Chen-Burger,Lakhmi C. Jain Conference
影響因子.The 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 14th International KES Conference on Agents and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2020), being held as a Virtual Conference in June 17–19, 2020. 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 2020
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Agent-Based Approach for User-Centric Smart Environmentsch user is supported by one agent with a neural network specialized only for his preferences as opposed to the centralized approach where all user preferences are predicted by one neural network. Additionally, the agent-based approach enables easier addition of new users.
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Process Model for Accessible Website User Evaluations encompasses functional testing and involves all user representatives. According to the obtained results, the developed prototype is an example of good practice and applicable for web accessibility improvement of existing or new website design, and the process described in this paper is a model of
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Predicting Dependency of Approval Rating Change from Twitter Activity and Sentiment Analysisbility based on Twitter activity and emotional sentiment analysis possibly indicating consistency with the human nature of positive news and outcomes resonating with people for a much shorter period than negative ones.
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Agents and Multi-Agent Systems: Technologies and Applications 202014th KES Internation
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