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AI and SWARM

This book provides theoretical and practical knowledge on AI and swarm intelligence. It provides a methodology for EA (evolutionary;

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AI and SWARM

This book provides theoretical and practical knowledge on AI and swarm intelligence. It provides a methodology for EA (evolutionary;

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Shepherding UxVs for Human-Swarm Teaming

inherently human friendly approach to swarm control. The book discusses advanced artificial intelligence (AI) approaches needed to design smart;

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Artificial Intelligence

This book is an up-to-date collection, in AI and environmental research, related to the project ATLAS. AI is used for gaining an;

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Contemporary Artificial Intelligence

The notion of artificial intelligence (AI) often sparks thoughts of characters from science fiction, such as the Terminator and HAL 9000;

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Advances in Integrations of Intelligent Methods

networks, and evolutionary algorithms) among themselves or with hard AI technologies like logic and rules; machine learning with soft computing and;

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Advances in Integrations of Intelligent Methods

networks, and evolutionary algorithms) among themselves or with hard AI technologies like logic and rules; machine learning with soft computing and;

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AI IA 2015 Advances in Artificial Intelligence

submissions. The papers are organized in topical sections on swarm intelligence and genetic algorithms; computer vision; multi-agents systems;

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Socio cultural Inspired Metaheuristics

This book presents the latest insights and developments in the field of socio-cultural inspired algorithms. Akin to evolutionary and swarm;

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Particle Swarm Optimization

modelled on swarm intelligence. Swarm intelligence is based on social-psychological principles and provides insights into social behaviour, as well;

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Reinforcement Learning

learning, including Markov's Decision process and Semi Markov Decision process. The next section shows you how to get started with Open AI before;

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Native Docker Clustering with Swarm

Deploy, configure, and run clusters of Docker containers with Swarm About This Book * Get to grips with Docker Swarm, one of the key;

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Applying Data Science

methods. In Part I, the author introduces a problem-driven approach to implementing AI-based data science and offers practical explanations;

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Applying Data Science

methods. In Part I, the author introduces a problem-driven approach to implementing AI-based data science and offers practical explanations;

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Advances in Swarm Intelligence

This two-volume set LNCS 9712 and LNCS 9713 constitutes the refereed proceedings of the 7th International Conference on Swarm Intelligence;

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Advances in Swarm Intelligence

This two-volume set LNCS 9712 and LNCS 9713 constitutes the refereed proceedings of the 7th International Conference on Swarm Intelligence;

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Swarm Intelligence

Swarm Intelligence: Principles, Advances, and Applications delivers in-depth coverage of bat, artificial fish swarm, firefly, cuckoo search;

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Swarm Intelligence

Swarm Intelligence: Principles, Advances, and Applications delivers in-depth coverage of bat, artificial fish swarm, firefly, cuckoo search;

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Advances in Swarm Intelligence

The two-volume set of LNCS 10385 and 10386, constitutes the proceedings of the 8th International Confrence on Advances in Swarm;

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Advances in Swarm Intelligence

The two-volume set of LNCS 10385 and 10386, constitutes the proceedings of the 8th International Conference on Advances in Swarm;

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Artificial Intelligence

to AI. This fully revised and expanded update, Artificial Intelligence: With an Introduction to Machine Learning, Second Edition, retains the;

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Artificial Intelligence

to AI. This fully revised and expanded update, Artificial Intelligence: With an Introduction to Machine Learning, Second Edition, retains the;

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Swarm Intelligence: Principles, current algorithms and methods

Swarm Intelligence (SI) is one of the most important and challenging paradigms under the umbrella of computational intelligence. It focuses;

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New Advancements in Swarm Algorithms

of biological entities, such as animals and insects, manifesting social behavior has resulted in several computational models of swarm intelligence;

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Advances in Swarm Intelligence

177 submissions. They cover topics such as: Swarm Intelligence and Nature-Inspired Computing; Swarm-based Computing Algorithms for;

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Advances in Swarm Intelligence

selected from 127 submissions. The papers are organized in 12 cohesive topical sections as follows: Swarm intelligence and nature-inspired;

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UAV Swarm Networks: Models, Protocols, and Systems

network models, 7-layer protocols and system integration for UAV swarm network.;

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