Atnaujinkite slapukų nuostatas

El. knyga: Navigating Complexity: AI and Systems Thinking for Smarter Decisions

  • Formatas: EPUB+DRM
  • Išleidimo metai: 08-Feb-2025
  • Leidėjas: Springer International Publishing AG
  • Kalba: eng
  • ISBN-13: 9783031827426
  • Formatas: EPUB+DRM
  • Išleidimo metai: 08-Feb-2025
  • Leidėjas: Springer International Publishing AG
  • Kalba: eng
  • ISBN-13: 9783031827426

DRM apribojimai

  • Kopijuoti:

    neleidžiama

  • Spausdinti:

    neleidžiama

  • El. knygos naudojimas:

    Skaitmeninių teisių valdymas (DRM)
    Leidykla pateikė šią knygą šifruota forma, o tai reiškia, kad norint ją atrakinti ir perskaityti reikia įdiegti nemokamą programinę įrangą. Norint skaityti šią el. knygą, turite susikurti Adobe ID . Daugiau informacijos  čia. El. knygą galima atsisiųsti į 6 įrenginius (vienas vartotojas su tuo pačiu Adobe ID).

    Reikalinga programinė įranga
    Norint skaityti šią el. knygą mobiliajame įrenginyje (telefone ar planšetiniame kompiuteryje), turite įdiegti šią nemokamą programėlę: PocketBook Reader (iOS / Android)

    Norint skaityti šią el. knygą asmeniniame arba „Mac“ kompiuteryje, Jums reikalinga  Adobe Digital Editions “ (tai nemokama programa, specialiai sukurta el. knygoms. Tai nėra tas pats, kas „Adobe Reader“, kurią tikriausiai jau turite savo kompiuteryje.)

    Negalite skaityti šios el. knygos naudodami „Amazon Kindle“.

This book, “Navigating Complexity: AI and Systems Thinking for Smarter Decisions” delves into the integration of Artificial Intelligence (AI) and systems thinking to enhance decision-making in complex and dynamic environments. Aimed at professionals, researchers, and academics in fields such as management, healthcare, sustainability, and public policy, it provides a comprehensive exploration of how these two approaches can be synergistically employed. The main topics include the theoretical foundations of complexity science, the practical application of AI and systems thinking tools, and real-world case studies demonstrating their combined use. These topics are crucial as they address the need for advanced methodologies to navigate and manage the increasing complexity in modern decision-making scenarios. The book seeks to solve the problem of effectively managing complexity by offering innovative frameworks and models that integrate AI’s data-driven capabilities with systems thinking’s holistic approach. This integration is essential for improving decision-making processes across various domains, providing readers with actionable insights and tools to tackle contemporary challenges.

1. Introduction: Overview of Complexity in Decision-Making.-
2. Theoretical Foundations of Complexity.-
3. Integrating Systems Thinking and AI.-
4. Tools and Techniques.-
5. Applications in Various Domains.-
6. Ethical, Social, and Practical Considerations.-
7. Future Directions and Innovations.-
8. Conclusion and the Way Forward.

Dr. Hassan Qudrat-Ullah is a distinguished Professor of Decision Sciences at York University, Toronto, with over two decades of experience in academia and industry. His research focuses on integrating systems thinking and emerging technologies to address complex decision-making challenges including supply chains and sustainable energy policies. Dr. Qudrat-Ullah has authored numerous publications and books including 24 books (and edited volumes) and 43 journal articles) in the fields of decision sciences, system dynamics, and sustainable energy. Recognized as one of the worlds top 2% scientists by Stanford University in 2022, his work has had a profound impact on both academic research and practical applications. He is Founding Editor of Book Series: Systems Thinking and Sustainable Development (by Edward Elgar). Through his innovative approach, Dr. Qudrat-Ullah continues to shape the future of decision-making in complex environments. He has been honored as a state guest of Pakistan in 2016 and 2017. He loves traveling and the exploration of various cultures across the globe. He has been to 140 countries: part business and part pleasure.