Dernière sortie
Adaptive Systems: The Science of Self-Optimization in a Changing World
In an era of rapid technological advancements and unpredictable challenges, adaptability is the key to survival and success. Adaptive Systems: The Science of Self-Optimization in a Changing World explores the principles, mechanisms, and applications of systems that learn, evolve, and optimize themselves in response to dynamic environments. This book delves into the foundations of adaptive systems, drawing insights from artificial intelligence, cybernetics, biology, and complex systems theory.
It examines how self-optimizing technologies-from machine learning models to decentralized networks-are transforming industries, enhancing decision-making, and shaping the future of automation and intelligence. Key topics include:? The core principles of adaptability, feedback loops, and self-regulation? How AI, IoT, and edge computing enable real-time system optimization? The role of adaptive algorithms in robotics, finance, and smart cities? Strategies for designing resilient, scalable, and self-healing systems? Ethical and security considerations in autonomous and evolving systemsThis book provides a comprehensive understanding of how adaptive systems are reshaping our world-and how to leverage them for innovation and long-term success.
It examines how self-optimizing technologies-from machine learning models to decentralized networks-are transforming industries, enhancing decision-making, and shaping the future of automation and intelligence. Key topics include:? The core principles of adaptability, feedback loops, and self-regulation? How AI, IoT, and edge computing enable real-time system optimization? The role of adaptive algorithms in robotics, finance, and smart cities? Strategies for designing resilient, scalable, and self-healing systems? Ethical and security considerations in autonomous and evolving systemsThis book provides a comprehensive understanding of how adaptive systems are reshaping our world-and how to leverage them for innovation and long-term success.
In an era of rapid technological advancements and unpredictable challenges, adaptability is the key to survival and success. Adaptive Systems: The Science of Self-Optimization in a Changing World explores the principles, mechanisms, and applications of systems that learn, evolve, and optimize themselves in response to dynamic environments. This book delves into the foundations of adaptive systems, drawing insights from artificial intelligence, cybernetics, biology, and complex systems theory.
It examines how self-optimizing technologies-from machine learning models to decentralized networks-are transforming industries, enhancing decision-making, and shaping the future of automation and intelligence. Key topics include:? The core principles of adaptability, feedback loops, and self-regulation? How AI, IoT, and edge computing enable real-time system optimization? The role of adaptive algorithms in robotics, finance, and smart cities? Strategies for designing resilient, scalable, and self-healing systems? Ethical and security considerations in autonomous and evolving systemsThis book provides a comprehensive understanding of how adaptive systems are reshaping our world-and how to leverage them for innovation and long-term success.
It examines how self-optimizing technologies-from machine learning models to decentralized networks-are transforming industries, enhancing decision-making, and shaping the future of automation and intelligence. Key topics include:? The core principles of adaptability, feedback loops, and self-regulation? How AI, IoT, and edge computing enable real-time system optimization? The role of adaptive algorithms in robotics, finance, and smart cities? Strategies for designing resilient, scalable, and self-healing systems? Ethical and security considerations in autonomous and evolving systemsThis book provides a comprehensive understanding of how adaptive systems are reshaping our world-and how to leverage them for innovation and long-term success.
