Complex Adaptive Systems: Views From the Physical, Natural, and Social Sciences
Files
Description
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. [From the publisher]
Complex adaptive systems (CAS) have proven to be a powerful tool for exploring these and other related phenomena. The authors characterize a general CAS model as having a large number of self-similar agents that: 1) utilize one or more levels of feedback; 2) exhibit emergent properties and self-organization; and 3) produce non-linear dynamic behavior. Advances in modeling and computing technology have led not only to a deeper understanding of complex systems in many areas, but they have also raised the possibility that similar fundamental principles may be at work across these systems, even though the underlying principles may manifest themselves differently.
ISBN
9783030203078
DOI
10.1007/978-3-030-20309-2
Publication Date
6-2019
Publisher
Springer
City
Cham, Switzerland
Keywords
Complex adaptive systems, Agent-based modeling, Complexity, Swarm intelligence
Disciplines
Systems Engineering
Recommended Citation
Carmichael, Ted (Editor); Collins, Andrew J. (Editor); and Hadžikadić, Mirsad (Editor), "Complex Adaptive Systems: Views From the Physical, Natural, and Social Sciences" (2019). Engineering Management & Systems Engineering Faculty Books. 10.
https://digitalcommons.odu.edu/emse_books/10