05623nam 2200457 450 991049002600332120231110232626.0981-16-2574-3(CKB)4100000011979352(MiAaPQ)EBC6676168(Au-PeEL)EBL6676168(OCoLC)1260343326(EXLCZ)99410000001197935220220328d2021 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierCatastrophes and unexpected behavior patterns in complex artificial populations /Stanislaw RaczynskiSingapore :Springer,[2021]©20211 online resource (190 pages)Evolutionary Economics and Social Complexity Science ;v.27Includes index.981-16-2573-5 Intro -- 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 -- Chapter 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 -- Chapter 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 -- 4.5.5 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 -- 5.5 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 -- Chapter 7: Growing Organism and Cancer -- 7.1 Introduction -- 7.2 Agent-Based Modeling -- 7.2.1 How It Works -- 7.2.2 Simulation Tool -- 7.3 The Model -- 7.3.1 Overview -- 7.3.2 Implementation -- 7.3.2.1 Process Cell -- 7.4 Simulations -- 7.4.1 The Growth of the Organism and Aging -- 7.4.2 Infection and Defense -- 7.4.3 The Cancer -- 7.5 Conclusion -- References -- Chapter 8: Work, Salary, and Gini -- 8.1 Introduction -- 8.2 Inequality and the Gini Coefficient -- 8.3 Agent-Based Modeling -- 8.4 Simulation Tool -- 8.5 The Model -- 8.5.1 Work, Income, and Object Function -- 8.5.2 Implementation -- 8.5.3 Simulations -- References -- Chapter 9: Waiting Lines -- 9.1 Introduction -- 9.2 Queuing Model Generator (QMG) -- 9.2.1 Overview -- 9.2.2 QMG Blocks.9.2.3 Additional Entity Actions: The SVOP Function -- 9.3 Simulations -- 9.3.1 Simple Model, Useless Statistics -- 9.3.2 The Bus Stop Paradox -- 9.3.3 Queue and Server Chain -- 9.3.4 Conveyors with Feedback -- 9.4 Conclusion -- References -- Chapter 10: Simultaneous Events, Semi-Discrete Events, and Chicken -- 10.1 Introduction -- 10.2 The Chicken Game -- 10.3 Simulation and Model Convergence -- 10.4 Three Body Collision -- 10.4.1 Compliance Collision -- 10.4.2 Elastic Collision: Compliance Zero -- 10.5 Conclusion -- References -- Index.Evolutionary Economics and Social Complexity Science Computer simulationComputer simulation.629.892Raczynski Stanislaw853393MiAaPQMiAaPQMiAaPQBOOK9910490026003321Catastrophes and Unexpected Behavior Patterns in Complex Artificial Populations1905539UNINA