Collective Intelligence: The Rise of Swarm Systems and their Impact on Society
معرفی کتاب «Collective Intelligence: The Rise of Swarm Systems and their Impact on Society» نوشتهٔ Uwe Seebacher (editor), Christoph Legat (editor)، منتشرشده توسط نشر CRC Press در سال 2024. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.
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. Cover Title Page Copyright Page Preface Acknowledgments Introduction Table of Contents List of Contributors 1. Fundamentals of Swarm Intelligence 2. Swarm Intelligence: Applications and Implementations in Autonomous Systems 3. Federated Learning in Shared Production Scenarios 4. Resilience-X: Towards Resilient Manufacturing Companies An In-depth Analysis of Requirements and Challenges 5. Multi-agent Reinforcement-Learning for Solving Flexible Job Shop Scheduling Problems 6. On Joint Exploration and Self-guided Task Allocation for Mobile Robots in an Industrial Environment 7. Advances in the Applications of Swarm Intelligence in Portfolio Optimization, Stock Price Prediction and Risk Management A Comparison with Traditional Methods 8. Towards Next Generation Data-Driven Management Leveraging Predictive Swarm Intelligence to Reason and Predict Market Dynamics 9. Parkinson’s Disease Detection with Deep Long Short-term Memory Networks Optimized by Modified Metaheuristic Algorithm 10. Emerald Evolution Charting the Next Phase of Global Sustainability with Collective Intelligence Closing Remarks and Predictions Index
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