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The study of complex systems attracts the attention of many researchers in diverse fields. Complex systems are characterized by a high number of entities and a high degree of interactions. One of the most important features is that they do not involve a central organizing authority, but the various elements that make up the systems are self-organized. Moreover, some complex systems possess an emergency priority: climate change and sustainable development research, studies of public health, ecosystem habitats, epidemiology, and medicine, among others. Unfortunately, a great number of today’s overlapping approaches fail to meet the needs of decision makers when managing complex domains. Indeed, the design of complex systems often requires the integration of a number of artificial intelligence tools and techniques. The problem can be viewed in terms of goals, states, and actions, choosing the best action to move the system toward its desired state or behavior. This is why agent-based approaches are used to model complex systems. The main objective of this book is to bring together existing methods for decision support systems creation within a coherent agent-based framework and to provide an interdisciplinary and flexible methodology for modeling complex and systemic domains.  .

Decision making. --- Decision making -- Data processing. --- Decision support systems. --- Decision support systems --- Intelligent agents (Computer software) --- Self-organizing systems --- System design --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Computer Science --- Information Technology --- Computational complexity. --- Systems engineering. --- Technological complexity. --- Complexity, Technological --- Engineering systems --- System engineering --- Complexity, Computational --- Design and construction --- Engineering. --- Artificial intelligence. --- Computational intelligence. --- Complexity, Computational. --- Computational Intelligence. --- Complexity. --- Artificial Intelligence (incl. Robotics). --- Electronic data processing --- Machine theory --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Simulation methods --- Fifth generation computers --- Neural computers --- Construction --- Industrial arts --- Technology --- Anthropology --- Industries, Primitive --- Engineering --- Industrial engineering --- System analysis --- Artificial Intelligence.

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This book constitutes the proceedings of the 16th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2018, held in Toledo, Spain, in June 2018. The 20 regular and 19 demo papers presented in this volume were carefully reviewed and selected from 57 submissions. They deal with the application and validation of agent-based models, methods, and technologies in a number of key applications areas, such as: energy and security; engineering and tools; evaluation and ethics; negotiation and organisations; personalization and learning; simulation applications; simulation platforms; social networks and humans. The book also contains two invited talks in full paper length. .

Computer science. --- Computer organization. --- Software engineering. --- Algorithms. --- Artificial intelligence. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Software Engineering. --- Computer Systems Organization and Communication Networks. --- Information Systems Applications (incl. Internet). --- Algorithm Analysis and Problem Complexity. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Algorism --- Algebra --- Arithmetic --- Computer software engineering --- Engineering --- Organization, Computer --- Electronic digital computers --- Informatics --- Science --- Foundations --- Computer network architectures. --- Computer software. --- Artificial Intelligence. --- Software, Computer --- Computer systems --- Architectures, Computer network --- Network architectures, Computer --- Computer architecture --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software

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The study of complex systems attracts the attention of many researchers in diverse fields. Complex systems are characterized by a high number of entities and a high degree of interactions. One of the most important features is that they do not involve a central organizing authority, but the various elements that make up the systems are self-organized. Moreover, some complex systems possess an emergency priority: climate change and sustainable development research, studies of public health, ecosystem habitats, epidemiology, and medicine, among others. Unfortunately, a great number of today's overlapping approaches fail to meet the needs of decision makers when managing complex domains. Indeed, the design of complex systems often requires the integration of a number of artificial intelligence tools and techniques. The problem can be viewed in terms of goals, states, and actions, choosing the best action to move the system toward its desired state or behavior. This is why agent-based approaches are used to model complex systems. The main objective of this book is to bring together existing methods for decision support systems creation within a coherent agent-based framework and to provide an interdisciplinary and flexible methodology for modeling complex and systemic domains.  

Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- neuronale netwerken --- fuzzy logic --- cybernetica --- informatica --- KI (kunstmatige intelligentie) --- robots

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This book is a collection of proceedings from the Fourth International Conference on Image Processing and Capsule Networks (ICIPCN 2023). It offers a comprehensive overview of recent research and developments in image processing, capsule network algorithms, and models. The conference aims to bridge academia and industry, facilitating the exchange of significant research experiences and solutions to practical challenges in imaging science. With contributions from researchers worldwide, the book covers topics such as medical imaging, remote sensing, and artificial intelligence applications in image processing. It is a valuable resource for researchers, engineers, and professionals interested in the latest advancements in these fields.

Electronics --- Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- computervisie --- neuronale netwerken --- beeldverwerking --- fuzzy logic --- cybernetica --- spraaktechnologie --- signal processing --- algoritmen --- AI (artificiële intelligentie) --- signaalprocessoren --- signaalverwerking --- Image processing. --- Neural networks (Computer science)