Collective Intelligence

The Rise of Swarm Systems and Their Impact on Society
1. Auflage 2024
ISBN: 978-1-032-69068-1
Verlag: CRC Press

Buch, Englisch, 314 Seiten, Format (B × H): 161 mm x 237 mm, Gewicht: 594 g

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.

Zielgruppe

Academic and Postgraduate

Autoren/Hrsg.

Seebacher, Uwe

Legat, Christoph

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Gesundheitswirtschaft
• Technische Wissenschaften Technik Allgemein Technik: Allgemeines
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
• Mathematik | Informatik EDV | Informatik Business Application Mathematische & Statistische Software

Inhaltsverzeichnis

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.

Über Autor(innen)

Uwe Seebacher is a leading methods and structural scientist and a Forbes bestselling author. He has a doctorate in economics and business administration and is a Professor at the University of Applied Sciences Munich and Vienna. He is a Visiting Faculty at the Indian Institute of Management, Shillong. Seebacher is an academic advisor and a member of several prestigious organizations, including INDAM and AOM. He has 30 years of experience as a business angel, advisor, investor, leader, and entrepreneur, and is also a popular keynote speaker. He has authored and co-edited over 60 books and hundreds of journal papers, and received many awards for his innovative concepts and works.

Christoph Legat is a well-known author, speaker and manager, and professor at the Augsburg University of Applied Sciences in the field of computer science and AI. He is Senior Project Manager at DKE and member of various technical and normative committees in the context of AI as well as Industrial IoT and also holds many other mandates in associations and organizations. Since the beginning of developments in the field of AI, Legat has been actively involved in the development and implementation of secure and trustworthy industrial AI.