LEADER 04860nam 22006135 450 001 9910337606403321 005 20231129094620.0 010 $a3-030-20309-3 024 7 $a10.1007/978-3-030-20309-2 035 $a(CKB)4100000008424379 035 $a(DE-He213)978-3-030-20309-2 035 $a(MiAaPQ)EBC5926578 035 $a(PPN)258059923 035 $a(EXLCZ)994100000008424379 100 $a20190614d2019 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComplex Adaptive Systems $eViews from the Physical, Natural, and Social Sciences /$fedited by Ted Carmichael, Andrew J. Collins, Mirsad Had?ikadi? 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (VIII, 250 p. 76 illus., 55 illus. in color.) 225 1 $aUnderstanding Complex Systems,$x1860-0832 300 $aIncludes index. 311 $a3-030-20307-7 327 $aThe 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. 330 $aThis book emerged out of international conferences organized as part of the AAAI Fall Symposia series, and the Swarmfest 2017 conference. It brings together researchers from diverse fields studying these complex systems using CAS and agent-based modeling tools and techniques. In the past, the knowledge gained in each domain has largely remained exclusive to that domain. By bringing together scholars who study these phenomena, the book takes knowledge from one domain to provide insight into others. Most interesting phenomena in natural and social systems include constant transitions and oscillations among their various phases ? wars, companies, societies, markets, and humans rarely stay in a stable, predictable state for long. Randomness, power laws, and human behavior ensure that the future is both unknown and challenging. How do events unfold? When do they take hold? Why do some initial events cause an avalanche while others do not? What characterizes these events? What are the thresholds that differentiate a sea change from a non-event? Complex adaptive systems (CAS) have proven to be a powerful tool for exploring these and other related phenomena. The authors characterize a general CAS model as having a large number of self-similar agents that: 1) utilize one or more levels of feedback; 2) exhibit emergent properties and self-organization; and 3) produce non-linear dynamic behavior. Advances in modeling and computing technology have led not only to a deeper understanding of complex systems in many areas, but they have also raised the possibility that similar fundamental principles may be at work across these systems, even though the underlying principles may manifest themselves differently. 410 0$aUnderstanding Complex Systems,$x1860-0832 606 $aComputational complexity 606 $aStatistical physics 606 $aPhysics 606 $aComplexity$3https://scigraph.springernature.com/ontologies/product-market-codes/T11022 606 $aApplications of Nonlinear Dynamics and Chaos Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/P33020 606 $aApplications of Graph Theory and Complex Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/P33010 615 0$aComputational complexity. 615 0$aStatistical physics. 615 0$aPhysics. 615 14$aComplexity. 615 24$aApplications of Nonlinear Dynamics and Chaos Theory. 615 24$aApplications of Graph Theory and Complex Networks. 676 $a006.30285436 676 $a620 702 $aCarmichael$b Ted$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCollins$b Andrew J$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHad?ikadi?$b Mirsad$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910337606403321 996 $aComplex adaptive systems$91774983 997 $aUNINA