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Can I read Complex Adaptive Systems: Views From The Physical, Natural, And Social Sciences (understanding Complex Systems) on EtoBox?
Complex Adaptive Systems: Views From The Physical, Natural, And Social Sciences (understanding Complex Systems) by Ted Carmichael, Andrew J. Collins, Mirsad Hadžikadić is a nonfiction available to read on EtoBox.
What is Complex Adaptive Systems: Views From The Physical, Natural, And Social Sciences (understanding Complex Systems) about?
This book emerged out of international conferences organized as part of the AAAI Fall Symposia series, and the Swarmfest 2017 conference. It brings together researchers from diverse fields studying these complex systems using CAS and agent-based modeling tools and techniques. In the past, the knowledge gained in each domain has largely remained exclusive to that domain. By bringing together scholars who study these phenomena, the book takes knowledge from one domain to provide insight into others. Most interesting phenomena in natural and social systems include constant transitions and oscillations among their various phases – wars, companies, societies, markets, and humans rarely stay in a stable, predictable state for long. Randomness, power laws, and human behavior ensure that the future is both unknown and challenging. How do events unfold? When do they take hold? Why do some initial events cause an avalanche while others do not? What characterizes these events? What are the thresholds that differentiate a sea change from a non-event? Complex adaptive systems (CAS) have proven to be a powerful tool for exploring these and other related phenomena. The authors characterize a ge
Who reads Complex Adaptive Systems: Views From The Physical, Natural, And Social Sciences (understanding Complex Systems)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Ted Carmichael, Andrew J. Collins, Mirsad Hadžikadić
- Publisher
- Springer International Publishing : Imprint : Springer
- Published
- 2019
- Language
- EN
- ISBN
- 9780262193740
- Category
- nonfiction
- Subjects
- Computer Science, Mathematics, Engineering
- Rating
- 4.24 / 5 (320 ratings)
- Updated
- 2026-03-14
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