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Machine Learning

learning to improve the effectiveness of agents and multi-agent systems to developing machine learning software for high frequency trading;

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Multi-Agent Machine Learning

of personality traits. Framework for understanding a variety of methods and approaches in multi-agent machine learning. Discusses methods;

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Machine Learning for Predictive Analysis

topics such as intelligent agent and multi-agent systems in various domains, machine learning, intelligent information retrieval and business;

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Engineering Multi-Agent Systems

This book constitutes the thoroughly refereed post-conference proceedings of the 8th International Workshop on Engineering Multi-Agent;

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MultiAgent Coordination

introduction to multi-agent coordination by reinforcement learning and evolutionary algorithms, including topics like the Nash equilibrium and;

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Agent and Multi-Agent Systems: Technologies and Applications

Simulation and Decision Making, Multi-Agent Applications, Management and e-Business, Mobile Agents and Robots, and Machine Learning;

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Handbook of Research on Machine Learning Innovations and Trends

involved in machine intelligence. Highlighting multidisciplinary studies on decision theory, intelligent search, and multi-agent systems, this;

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Learn Unity ML-Agents - Fundamentals of Unity Machine Learning

Learning to building Deep Recurrent Q-Network agents that cooperate or compete in a multi-agent ecosystem. You will start with the basics;

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Explainable, Transparent Autonomous Agents and Multi-Agent Systems

This book constitutes the proceedings of the Second International Workshop on Explainable, Transparent Autonomous Agents and Multi-Agent;

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Dynamic Fuzzy Machine Learning

, examination of multi-agent learning model based on dynamic fuzzy logic. This book can be used as a reference book for senior college students and;

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Computational Intelligence for Machine Learning and Healthcare Informatics

This book presents a variety of techniques designed to enhance and empower multi-disciplinary and multi-institutional machine learning;

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Emerging Paradigms in Machine Learning

of applications of well-known learning methods in biometrics, computational stylistics, multi-agent systems, spam classification including an extremely;

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Multi-disciplinary Trends in Artificial Intelligence

management; multi-agent systems; data mining and machine learning; computer vision; robotics; AI in bioinformatics; AI in security and networks; and;

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Machine Learning with Health Care Perspective

This unique book introduces a variety of techniques designed to represent, enhance and empower multi-disciplinary and multi-institutional;

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Machine Learning with Health Care Perspective

This unique book introduces a variety of techniques designed to represent, enhance and empower multi-disciplinary and multi-institutional;

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Iterative Learning Control for Multi-agent Systems Coordination

A timely guide using iterative learning control (ILC) as a solution for multi-agent systems (MAS) challenges, showcasing recent advances;

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Computational Trust Models and Machine Learning

computer science areas, including multi-agent systems, online social networks, and communication systems. Identifying trust modeling challenges;

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Artificial Intelligence and Machine Learning

processing, agent technology, game theory, problem solving, machine learning, human-agent interaction, AI and education, and data analysis.;

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Artificial Intelligence in Wireless Robotics

artificial intelligence in robotics and multi-agent systems. The technical contents of this book include fundamental knowledge in robotics, cyber;

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Proceedings of 2017 Chinese Intelligent Systems Conference

This book presents selected research papers from CISC'17, held in MudanJiang, China. The topics covered include Multi-agent system;

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Developing Multi-Agent Systems with JADE

learning resources such as sample code, exercises and PPT-slides. This invaluable resource will provide multi-agent systems practitioners;

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Intelligent Information Processing IX

submissions. They are organized in topical sections on machine learning, deep learning, multi-agent systems, neural computing and swarm intelligence;

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Agent and Multi-Agent Systems: Technologies and Applications

This book constitutes the refereed proceedings of the 6th KES International Conference on Agent and Multi-Agent Systems, KES-AMSTA 2012;

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Advances in Artificial Intelligence IBERAMIA 2016

in the following topical sections: knowledge engineering, knowledge representation and probabilistic reasoning; agent technology and multi-agent;

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Challenges in Machine Generation of Analytic Products from Multi-Source Data

, with special attention to learning from small data, using multi-source data, adversarial learning, and understanding the human-machine;

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Applications of Advanced Computing in Systems

immune systems, fuzzy system, autonomous and multi-agent systems, machine learning, other intelligent systems and related areas. In the second;

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Programming Multi-Agent Systems in AgentSpeak using Jason

AgentSpeak extension interpreted by Jason and shows how to create multi-agent systems using the Jason platform.* Reinforces learning with examples;

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