Collective Intelligence
eBook - ePub

Collective Intelligence

The Rise of Swarm Systems and their Impact on Society

  1. 314 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Collective Intelligence

The Rise of Swarm Systems and their Impact on Society

About this book

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.

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Yes, you can access Collective Intelligence by Uwe Seebacher,Christoph Legat in PDF and/or ePUB format, as well as other popular books in Computer Science & Pharmaceutical, Biotechnology & Healthcare Industry. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Title Page
  3. Copyright Page
  4. Preface
  5. Acknowledgments
  6. Introduction
  7. Table of Contents
  8. Contributors
  9. 1 Fundamentals of Swarm Intelligence
  10. 2 Swarm Intelligence: Applications and Implementations in Autonomous Systems
  11. 3 Federated Learning in Shared Production Scenarios
  12. 4 Resilience-X: Towards Resilient Manufacturing Companies An In-depth Analysis of Requirements and Challenges
  13. 5 Multi-agent ReinforcementLearning for Solving Flexible Job Shop Scheduling Problems
  14. 6 On Joint Exploration and Self-guided Task Allocation for Mobile Robots in an Industrial Environment
  15. 7 Advances in the Applications of Swarm Intelligence in Portfolio Optimization, Stock Price Prediction and Risk: A Comparison with Traditional Methods
  16. 8 Towards Next Generation Data-Driven Management: Leveraging Predictive Swarm Intelligence to Reason and Predict Market Dynamics
  17. 9 Parkinson's Disease Detection with Deep Long Short-term Memory Networks Optimized by Modified Metaheuristic Algorithm
  18. 10 Emerald Evolution Charting the Next Phase of Global Sustainability with Collective Intelligence
  19. Closing Remarks and Predictions
  20. Index