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Title
Complex adaptive systems : views from the physical, natural, and social sciences / Ted Carmichael, Andrew J. Collins, Mirsad Hadžikadić, editors.
ISBN
9783030203092 (electronic book)
3030203093 (electronic book)
9783030203078
Published
Cham, Switzerland : Springer, [2019]
Language
English
Description
1 online resource (viii, 250 p.) : illustrations.
Item Number
10.1007/978-3-030-20
Call Number
QA76.76.I58 C66 2019
Dewey Decimal Classification
006.3/0285436
Summary
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 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.
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Access limited to authorized users.
Source of Description
Description based on online resource; title from digital title page (viewed on July 17, 2019).
Series
Springer complexity.
Understanding complex systems.
The Fundamentals of Complex Adaptive Systems
A Cognitive-Consistency Based Model of Population Wide Attitude Change
An Application of Agent Based Social Modeling in the DoD
Agent Based Behavior Precursor Model of Insider IT Sabotage
Formal Measures of Dynamical Properties: Tipping Points, Robustness, and Sustainability
Identifying Unexpected Behaviors of Agent-based Models through Spatial Plots and Heat Maps
Simulating the Ridesharing Economy: The Individual Agent Metro-Washington Area Ridesharing Model (IAMWARM)
Stigmergy for Biological Spatial Modeling
Strategic group formation in the El Farol bar problem
SwarmFSTaxis: Borrowing a Swarm Communication Mechanism from Fireflies and Slime Mold
Teaching Complexity as Transdisciplinarity.
