Collective Intelligence (eBook, PDF)

The Rise of Swarm Systems and their Impact on Society
Redaktion: Seebacher, Uwe; Legat, Christoph

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 314
• Erscheinungstermin: 14. November 2024
• Englisch
• ISBN-13: 9781040271568
• Artikelnr.: 72275529

Autorenporträt

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.

Inhaltsangabe

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.