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001438187 0247_ $$a10.1007/978-981-16-2574-9$$2doi
001438187 035__ $$aSP(OCoLC)1260343326
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001438187 049__ $$aISEA
001438187 050_4 $$aQA76.9.C65
001438187 08204 $$a003/.3$$223
001438187 1001_ $$aRaczynski, Stanislaw.
001438187 24510 $$aCatastrophes and unexpected behavior patterns in complex artificial populations /$$cStanislaw Raczynski.
001438187 260__ $$aSingapore :$$bSpringer,$$c2021.
001438187 300__ $$a1 online resource (190 pages)
001438187 336__ $$atext$$btxt$$2rdacontent
001438187 337__ $$acomputer$$bc$$2rdamedia
001438187 338__ $$aonline resource$$bcr$$2rdacarrier
001438187 347__ $$atext file
001438187 347__ $$bPDF
001438187 4901_ $$aEvolutionary economics and social complexity science ;$$vv. 27
001438187 500__ $$aChapter 7: Growing Organism and Cancer.
001438187 504__ $$aIncludes bibliographical references and index.
001438187 5050_ $$aIntro -- Preface -- Acknowledgements -- Contents -- About the Author -- Chapter 1: Catastrophes and Agent-Based Models -- 1.1 Catastrophes -- 1.2 Discrete Events and Agent-Based Models -- 1.2.1 Discrete Events and DEVS -- 1.2.2 Some Software Tools -- 1.2.3 The Event Queue -- 1.2.4 Agent-Based Models -- References -- Chapter 2: BLUESSS Simulation Package -- 2.1 BLUESSS Concepts -- 2.2 BLUESSS Code, Program Structure -- 2.3 Inheritance -- 2.4 BLUESSS Code Generators, Continuous and Discrete Simulation Support -- 2.5 Variance Analysis -- References
001438187 5058_ $$aChapter 3: Behavior Patterns of an Artificial Society -- 3.1 Introduction -- 3.2 Agent-Based Models -- 3.3 Simulation Tool -- 3.4 The Model -- 3.4.1 Process food -- 3.4.2 Process agent -- 3.4.2.1 Event moves -- 3.4.2.2 Event rwalk -- 3.4.2.3 Event foodseek -- 3.4.2.4 Event gregarious -- 3.4.2.5 Event attract -- 3.4.2.6 Event repro -- 3.4.2.7 Event dies -- 3.4.2.8 Event agres (aggression) -- 3.4.2.9 Event works -- 3.5 Simulations -- 3.5.1 Experiment 1 -- 3.5.2 Experiment 2 (unexpected behavior) -- 3.5.3 Experiment 3-aggression -- 3.5.4 Experiment 4-Work -- 3.6 Conclusions -- References
001438187 5058_ $$aChapter 4: Extended Prey-Predator Model -- 4.1 Introduction -- 4.2 Continuous Model -- 4.2.1 Simple Simulation -- 4.2.2 Uncertainty and Differential Inclusions -- 4.3 Agent-Based Simulation -- 4.3.1 General Remarks -- 4.3.2 Simulation Tool -- 4.4 The Model -- 4.4.1 Resources and Agent Types -- 4.4.2 Implementation, Processes, and Events -- 4.4.3 The Food Resource -- 4.4.4 Agents -- 4.4.5 Process Static -- 4.4.6 Process Control -- 4.5 Simulations -- 4.5.1 Basic Simulation Mode -- 4.5.2 Incoming Agents, Low System Isolation -- 4.5.3 Gregarious Effect -- 4.5.4 Group Forming-Simulation Mode 2
001438187 5058_ $$a4.5.5 A Slow Catastrophe -- Static Agents -- Appendix-Model Data Specification -- The Food Resource -- Agents -- Static Agents (SA) Mode -- References -- Chapter 5: Stock Market: Uncertainty and Catastrophes -- 5.1 Introduction -- 5.2 Continuous Model -- 5.2.1 Model Equations -- 5.2.2 Differential Inclusion Solver -- 5.2.3 The Reachable Set Example -- 5.3 Agent-Based Model -- 5.3.1 Processes and Events -- 5.3.1.1 Process Company -- 5.3.1.2 Process Agent -- 5.3.1.3 Event Buy -- 5.3.1.4 Process Brokers -- 5.3.1.5 Process monit -- 5.3.2 Other Elements -- 5.4 Simulation Tool: BLUESSS Implementation
001438187 5058_ $$a5.5 The Simulations -- 5.5.1 Experiment 1 -- 5.5.2 Experiment 2 -- 5.5.3 Experiment 3 -- 5.6 Final Remarks -- References -- Chapter 6: Epidemics -- 6.1 Introduction -- 6.2 Continuous Models -- 6.2.1 Susceptible-Infectious-Removed Models -- 6.2.2 Differential Inclusions and Uncertainty -- 6.2.3 Examples of Reachable Sets -- 6.3 Agent-Based Model -- 6.3.1 General Concepts -- 6.3.2 The Model -- 6.3.2.1 Agent Events -- 6.4 Simulations -- 6.4.1 Fast Propagation -- 6.4.2 Lower Trip Frequency -- 6.4.3 Near Cities -- 6.4.4 Long Epidemics-Adverse Conditions -- 6.5 Conclusion -- References
001438187 506__ $$aAccess limited to authorized users.
001438187 520__ $$aA major objective of this monograph is to present an agent-based simulation of artificial populations. The focus is on possible unexpected or catastrophic events that may spontaneously appear in simulations. A short recall of the tenets of the theory of catastrophes is given. Several examples of artificial society simulations are provided as the main topic of the book. With agent-based modeling, possible catastrophes and unexpected events in artificial populations are simulated. The book presents a new modeling and simulation tool, applied to social system simulation. The models are coded in the object- and agent-oriented language Bluesss (Blues Simulation System), related to the C++ language. The program code consists of a series of generic declarations of processes. Each of them includes a number of events that are coded in C++. At the runtime, a population of objects is generated. All the objects (agents) start to execute their own events, and interact with one another. During the simulations it is possible to observe the macro-behavior of the population, where some unexpected or "catastrophic" events occur. The examples include a stock market crash, catastrophes in extended prey-predator systems, growing organisms and cancer, epidemics, social inequality and economic decay, mass-service systems, and more. Remarks on possible simultaneous events are also included
001438187 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed July 23, 2021).
001438187 650_0 $$aComputer simulation.
001438187 650_0 $$aDigital computer simulation.
001438187 650_6 $$aSimulation par ordinateur.
001438187 655_0 $$aElectronic books.
001438187 77608 $$iPrint version:$$aRaczynski, Stanislaw.$$tCatastrophes and Unexpected Behavior Patterns in Complex Artificial Populations.$$dSingapore : Springer Singapore Pte. Limited, ©2021$$z9789811625732
001438187 830_0 $$aEvolutionary economics and social complexity science ;$$vv. 27.
001438187 852__ $$bebk
001438187 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-2574-9$$zOnline Access$$91397441.1
001438187 909CO $$ooai:library.usi.edu:1438187$$pGLOBAL_SET
001438187 980__ $$aBIB
001438187 980__ $$aEBOOK
001438187 982__ $$aEbook
001438187 983__ $$aOnline
001438187 994__ $$a92$$bISE