Swarm Intelligence Applications for the Cities of the Future

Автор: literator от Сегодня, 01:28, Коментариев: 0

Категория: КНИГИ » СЕТЕВЫЕ ТЕХНОЛОГИИ

Название: Swarm Intelligence Applications for the Cities of the Future
Автор: Leonor Marques Mano Domingos, Maria José Sousa
Издательство: CRC Press
Год: 2025
Страниц: 243
Язык: английский
Формат: pdf (true), epub
Размер: 45.1 MB

This book explores the transformative power of Swarm Intelligence and digital innovations in shaping the cities of the future. It presents a comprehensive analysis of how social learning, citizen engagement, advanced technology, design, construction, planning and public policies converge to create cities that are sustainable, resilient, and inclusive.

Swarm Intelligence is an emerging field that utilizes principles derived from the collective behavior of decentralized, self-organized systems to solve complex problems. The application of Swarm Intelligence to the urban context provides innovative ways to address complex issues inherent in rapidly evolving urban systems. Swarm-based principles can be used to optimize various facets of urban living, from traffic management and infrastructure planning to environmental conservation and resource management. For instance, the use of Swarm Intelligence in traffic management systems can optimize traffic flow, reducing congestion and travel times. Similarly, swarm-based solutions can enable more efficient use of resources by coordinating usage based on demand patterns across the city.

In collaborative learning, particularly through Internet of Medical Things (IoMT) and online learning communities, Swarm Intelligence promotes knowledge exchange and problem-solving, contributing to social skills improvement. Moreover, Swarm Intelligence fosters diversity and inclusion in social learning by encouraging interaction among diverse agents. Personalized recommendation systems, such as those used by YouTube or Netflix, utilize Swarm Intelligence techniques to tailor content to user preferences. Adaptive learning platforms like Knewton and Peer-Predict leverage are Swarm Intelligence tools for customized learning experiences and collaborative knowledge exchange.

The Internet of Things (IoT) is a rapidly growing field that encompasses a wide range of technologies and applications. It refers to the network of physical devices, vehicles, and other objects that are embedded with sensors, software, and other technologies to connect and exchange data over the internet. IoT has the potential to revolutionize various industries, from manufacturing and healthcare to transportation and smart cities. Systems powered by the IoT have become increasingly important in our cities due to growing concerns about the environmental impact of energy consumption, the finite nature of fossil fuel resources, and the quality-of-life improvement in smart cities. These systems can range from simple devices that allow users to manually control energy use, to more complex systems that use artificial intelligence to optimize energy consumption, at people’s houses, businesses, or even the city’s infrastructure.

The initial chapters stress the importance of collective intelligence in urban development, using technologies like Virtual Reality to increase citizen participation and democratise decision-making. Public policies play a key role in driving the digital transformation needed for greener cities, with frameworks and tools to enhance transparency and accountability. Digital technologies in policymaking ensure that policies are adaptive, data-driven, and responsive to real-time challenges. Internet of Things systems are explored for their role in improving public safety, urban resilience, and energy efficiency through digital twins, blockchain, and sensor networks. Swarm intelligence is highlighted for optimising energy management, reducing consumption, and promoting renewable resources. Healthcare integration into urban planning and sustainability is also discussed, with a comparative analysis of cities showing how tech innovation enhances resilience against climate change. Swarm intelligence beyond cities is also explored, such as for disaster response, healthcare, environmental conservation, and agriculture. Autonomous systems like drones and nanobots are shown to improve efficiency across various sectors.

Overall, this book advocates for a holistic approach to urban development, integrating digital technologies and collective intelligence to create cities that are technologically advanced, socially equitable, and environmentally sustainable.

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