| ISBN13: | 9781032690681 |
| ISBN10: | 1032690682 |
| Binding: | Hardback |
| No. of pages: | 314 pages |
| Size: | 234x156 mm |
| Weight: | 739 g |
| Language: | English |
| Illustrations: | 59 Illustrations, black & white; 1 Illustrations, color |
| 695 |
Probability and mathematical statistics
Electrical engineering and telecommunications, precision engineering
Energy industry
Theory of computing, computing in general
Mathematical Theory of computing
Computer architecture, logic design
Supercomputers
Computer programming in general
Artificial Intelligence
Environmental sciences
Further readings in the field of technology
Probability and mathematical statistics (charity campaign)
Electrical engineering and telecommunications, precision engineering (charity campaign)
Energy industry (charity campaign)
Theory of computing, computing in general (charity campaign)
Mathematical Theory of computing (charity campaign)
Computer architecture, logic design (charity campaign)
Supercomputers (charity campaign)
Computer programming in general (charity campaign)
Artificial Intelligence (charity campaign)
Environmental sciences (charity campaign)
Further readings in the field of technology (charity campaign)
Collective Intelligence
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Discover the revolutionary potential of swarm intelligence in this groundbreaking book. Explore how predictive intelligence and advanced algorithms enhance autonomous systems across industries, from manufacturing to energy.
Unlock the future of technology with this captivating exploration of swarm intelligence. Dive into the future of autonomous systems, enhanced by cutting-edge multi-agent systems and predictive research. Real-world examples illustrate how these algorithms drive intelligent, coordinated behavior in industries like manufacturing and energy. Discover the innovative Industrial-Disruption-Index (IDI), pioneered by Uwe Seebacher, which predicts industry disruptions using swarm intelligence. Case studies from media to digital imaging offer invaluable insights into the future of industrial life cycles.
Ideal for AI enthusiasts and professionals, this book provides inspiring, actionable insights for the future. It redefines artificial intelligence, showcasing how predictive intelligence can revolutionize group coordination for more efficient and sustainable systems. A crucial chapter highlights the shift from the Green Deal to the Emerald Deal, showing how swarm intelligence addresses societal challenges.
Preface. Fundamentals of Swarm Intelligence. Swarm Intelligence: Applications and Implementations in Autonomous Systems. Federated Learning in Shared Production Scenarios. Resilience-X: Towards Resilient Manufacturing Companies An In-depth Analysis of Requirements and Challenges. Multi-agent Reinforcement-Learning for Solving Flexible Job Shop Scheduling Problems. On Joint Exploration and Self-guided Task Allocation for Mobile Robots in an Industrial Environment. Advances in the Applications of Swarm Intelligence in Portfolio Optimization, Stock Price Prediction and Risk Management A Comparison with Traditional Methods. Towards Next Generation Data-Driven Management Leveraging Predictive Swarm Intelligence to Reason and Predict Market Dynamics. Parkinson?s Disease Detection with Deep Long Short-term Memory Networks Optimized by Modified Metaheuristic Algorithm. Emerald Evolution Charting the Next Phase of Global Sustainability with Collective Intelligence. Index.
