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Catastrophes and unexpected behavior patterns in complex artificial populations / / Stanislaw Raczynski
| Catastrophes and unexpected behavior patterns in complex artificial populations / / Stanislaw Raczynski |
| Autore | Raczynski Stanislaw |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (190 pages) |
| Disciplina | 629.892 |
| Collana | Evolutionary Economics and Social Complexity Science |
| Soggetto topico | Computer simulation |
| ISBN | 981-16-2574-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
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. |
| Record Nr. | UNINA-9910490026003321 |
Raczynski Stanislaw
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| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Interacting Complexities of Herds and Social Organizations : Agent Based Modeling / / by Stanislaw Raczynski
| Interacting Complexities of Herds and Social Organizations : Agent Based Modeling / / by Stanislaw Raczynski |
| Autore | Raczynski Stanislaw |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XI, 150 p. 79 illus.) |
| Disciplina | 300.00285 |
| Collana | Evolutionary Economics and Social Complexity Science |
| Soggetto topico |
Social sciences—Data processing
Social sciences—Computer programs Organization Planning Production management Computers Computers and civilization Computational Social Sciences Operations Management Models and Principles Computers and Society Humanities and Social Sciences, multidisciplinary |
| ISBN | 981-13-9337-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Agent based models, tools -- Chapter 2. Simulating self-organization and interference between certain hierarchical structures -- Chapter 3. Interactions between terror and anti-terror organizations -- Chapter 4. Organization growth and decay: simulating interactions of hierarchical structures, corruption and gregarious effect -- Chapter 5. The spontaneous rise of the herd instinct: agent based simulation -- Chapter 6. Influence of the gregarious instinct and individuals’ behavior patterns on macro migrations: Simulation experiments -- Chapter 7. Simulating our self-destruction -- Chapter 8. Prey-predator models revisited: uncertainty, herd instinct, fear, limited food, epidemics, evolution and competition -- Chapter 9. Discret event simulation vs continuous system dynamics. |
| Record Nr. | UNINA-9910370039503321 |
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Raczynski Stanislaw
|
||
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Modeling and simulation : the computer science of illusion / / Stanislaw Raczynski
| Modeling and simulation : the computer science of illusion / / Stanislaw Raczynski |
| Autore | Raczynski Stanislaw |
| Pubbl/distr/stampa | Hertfordshire, England ; ; Chichester, England : , : John Wiley & Sons, Ltd : , : Research Studies Press Limited, , 2006 |
| Descrizione fisica | 1 online resource (238 p.) |
| Disciplina | 003.3 |
| Collana | RSP Series in Computer Simulation and Modeling |
| Soggetto topico |
Computer simulation
Mathematical models |
| ISBN |
0-470-03089-5
0-470-03090-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Modeling and Simulation: The Computer Science of Illusion; Copyright; Contents; Editorial Foreword; Preface; Chapter 1 Basic Concepts and Tools; 1.1 Modeling and Simulation: What is It?; 1.2 Validity, Credibility, Tractability, and Verification; 1.3 System State and Causal Systems; 1.4 Classification of Dynamical Systems; 1.5 Discrete and Continuous Simulation; 1.6 Evolution of Simulation Software; 1.6.1 Control and Simulation Language (CSL); 1.6.2 Strategies of Discrete Event Execution; 1.6.3 GPSS; 1.6.4 SIMULA67; 1.6.5 Dynamo and System Dynamics Software; 1.6.6 SPICE
1.6.7 DEVS: Discrete Event System Specification1.6.8 DYMOLA; 1.6.9 Chronology of M&S Software Development; 1.6.10 Distributed Simulation; 1.6.11 High Level Architecture (HLA); Chapter 2 Continuous Simulation; 2.1 Introduction; 2.2 Ordinary Differential Equations and Models of Concentrated Parameter Systems; 2.3 Continuous Simulation with Analog Computers; 2.4 Numerical Methods for Ordinary Differential Equations (ODE); 2.4.1 Runge-Kutta Methods; 2.4.2 Richardson Approximations; 2.4.3 Predictor-Corrector Methods; 2.4.4 Stiff Equations; 2.4.5 Example of Continuous Simulation Using ODEs 2.5 Signal Flow Graphs2.6 Bond Graphs; 2.7 Alternative Modeling Tools and Dynamic Uncertainty; 2.8 Distributed Parameter Systems; 2.9 System Dynamics; 2.10 Galactic Simulations and The N-Body Problem; Chapter 3 Discrete and Combined Simulation - Example of PASION Implementation; 3.1 Are Discrete Models Valid?; 3.1.1 The Discrete Time and Discrete Events; 3.1.2 Semidiscrete Events; 3.2 PASION - PSM++ Simulation System; 3.2.1 PASION - PSM++ Summary; 3.2.2 Getting Started; 3.2.3 Processes and Events; 3.2.4 Permanently Active Processes; 3.2.5 State and Conditional Events 3.2.6 PASION Code Generators3.3 Queuing Model Generator (QMG); 3.3.1 QMG Blocks; 3.3.2 Example of a QMG Model; 3.3.3 The SVOP Procedure; 3.3.4 PASION Animators; 3.3.5 Another QMG Example: Manufacturing System Model; 3.4 Complex System Simulator of PASION; 3.4.1 What is Complexity?; 3.4.2 CSS Module of PASION System; 3.4.3 Model Coupling; 3.4.4 Example; Chapter 4 Differential Inclusions in Modeling and Simulation; 4.1 Differential Inclusions; 4.2 Possible Applications; 4.3 Differential Inclusion Solver (DIS); 4.4 Application in Uncertainty Treatment 4.5 Uncertain Future and Differential Inclusions4.6 Conclusions and Future Research; Chapter 5 Fluid Dynamics - Simulating Oscillating Gas Flow; 5.1 Computational Fluid Dynamics; 5.2 Numerical Problems; 5.3 The Simulation Tool; 5.4 Examples; 5.5 Oscillating Gas Flow; 5.6 Two-Dimensional Fluid-Dynamics Models are Invalid; 5.7 Conclusions; Chapter 6 Simulating Phenomenaof General Relativity; 6.1 Some Basic Concepts; 6.2 The Simulation Tool and Model Time; 6.3 Simulation Experiments; 6.3.1 Relativistic Orbit; 6.3.2 Light Signals; 6.3.3 3D Light Cones; 6.3.4 Time Distortion 6.3.5 Approaching a Black Hole |
| Record Nr. | UNINA-9910132176903321 |
|
Raczynski Stanislaw
|
||
| Hertfordshire, England ; ; Chichester, England : , : John Wiley & Sons, Ltd : , : Research Studies Press Limited, , 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Modeling and simulation : the computer science of illusion / / Stanislaw Raczynski
| Modeling and simulation : the computer science of illusion / / Stanislaw Raczynski |
| Autore | Raczynski Stanislaw |
| Pubbl/distr/stampa | Hertfordshire, England ; ; Chichester, England : , : John Wiley & Sons, Ltd : , : Research Studies Press Limited, , 2006 |
| Descrizione fisica | 1 online resource (238 p.) |
| Disciplina | 003.3 |
| Collana | RSP Series in Computer Simulation and Modeling |
| Soggetto topico |
Computer simulation
Mathematical models |
| ISBN |
0-470-03089-5
0-470-03090-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Modeling and Simulation: The Computer Science of Illusion; Copyright; Contents; Editorial Foreword; Preface; Chapter 1 Basic Concepts and Tools; 1.1 Modeling and Simulation: What is It?; 1.2 Validity, Credibility, Tractability, and Verification; 1.3 System State and Causal Systems; 1.4 Classification of Dynamical Systems; 1.5 Discrete and Continuous Simulation; 1.6 Evolution of Simulation Software; 1.6.1 Control and Simulation Language (CSL); 1.6.2 Strategies of Discrete Event Execution; 1.6.3 GPSS; 1.6.4 SIMULA67; 1.6.5 Dynamo and System Dynamics Software; 1.6.6 SPICE
1.6.7 DEVS: Discrete Event System Specification1.6.8 DYMOLA; 1.6.9 Chronology of M&S Software Development; 1.6.10 Distributed Simulation; 1.6.11 High Level Architecture (HLA); Chapter 2 Continuous Simulation; 2.1 Introduction; 2.2 Ordinary Differential Equations and Models of Concentrated Parameter Systems; 2.3 Continuous Simulation with Analog Computers; 2.4 Numerical Methods for Ordinary Differential Equations (ODE); 2.4.1 Runge-Kutta Methods; 2.4.2 Richardson Approximations; 2.4.3 Predictor-Corrector Methods; 2.4.4 Stiff Equations; 2.4.5 Example of Continuous Simulation Using ODEs 2.5 Signal Flow Graphs2.6 Bond Graphs; 2.7 Alternative Modeling Tools and Dynamic Uncertainty; 2.8 Distributed Parameter Systems; 2.9 System Dynamics; 2.10 Galactic Simulations and The N-Body Problem; Chapter 3 Discrete and Combined Simulation - Example of PASION Implementation; 3.1 Are Discrete Models Valid?; 3.1.1 The Discrete Time and Discrete Events; 3.1.2 Semidiscrete Events; 3.2 PASION - PSM++ Simulation System; 3.2.1 PASION - PSM++ Summary; 3.2.2 Getting Started; 3.2.3 Processes and Events; 3.2.4 Permanently Active Processes; 3.2.5 State and Conditional Events 3.2.6 PASION Code Generators3.3 Queuing Model Generator (QMG); 3.3.1 QMG Blocks; 3.3.2 Example of a QMG Model; 3.3.3 The SVOP Procedure; 3.3.4 PASION Animators; 3.3.5 Another QMG Example: Manufacturing System Model; 3.4 Complex System Simulator of PASION; 3.4.1 What is Complexity?; 3.4.2 CSS Module of PASION System; 3.4.3 Model Coupling; 3.4.4 Example; Chapter 4 Differential Inclusions in Modeling and Simulation; 4.1 Differential Inclusions; 4.2 Possible Applications; 4.3 Differential Inclusion Solver (DIS); 4.4 Application in Uncertainty Treatment 4.5 Uncertain Future and Differential Inclusions4.6 Conclusions and Future Research; Chapter 5 Fluid Dynamics - Simulating Oscillating Gas Flow; 5.1 Computational Fluid Dynamics; 5.2 Numerical Problems; 5.3 The Simulation Tool; 5.4 Examples; 5.5 Oscillating Gas Flow; 5.6 Two-Dimensional Fluid-Dynamics Models are Invalid; 5.7 Conclusions; Chapter 6 Simulating Phenomenaof General Relativity; 6.1 Some Basic Concepts; 6.2 The Simulation Tool and Model Time; 6.3 Simulation Experiments; 6.3.1 Relativistic Orbit; 6.3.2 Light Signals; 6.3.3 3D Light Cones; 6.3.4 Time Distortion 6.3.5 Approaching a Black Hole |
| Record Nr. | UNINA-9910821192803321 |
|
Raczynski Stanislaw
|
||
| Hertfordshire, England ; ; Chichester, England : , : John Wiley & Sons, Ltd : , : Research Studies Press Limited, , 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Models for research and understanding : exploring dynamic systems, unconventional approaches, and applications / / Stanislaw Raczynski
| Models for research and understanding : exploring dynamic systems, unconventional approaches, and applications / / Stanislaw Raczynski |
| Autore | Raczynski Stanislaw |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (286 pages) |
| Disciplina | 003.3 |
| Collana | Simulation foundations, methods and applications |
| Soggetto topico |
Computer simulation
System analysis |
| ISBN |
9783031119262
9783031119255 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Concept of Model -- 2. Continuous System Models -- 3. Differential inclusions, uncertainty and functional sensitivity -- 4. Functional sensitivity applications -- 5. Attainable sets in flight control -- 6. Discrete event models -- 7. Self-organization, dynamics and agent-based model -- 8. The space of models, semi-discrete events with fuzzy logic -- 9. Models and categories -- 10. Fuzzy time instants and time model -- 11. Reversibility and the 5th dimension -- 12. Modeling, simulation and optimization. . |
| Record Nr. | UNINA-9910639887803321 |
|
Raczynski Stanislaw
|
||
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Models for research and understanding : exploring dynamic systems, unconventional approaches, and applications / / Stanislaw Raczynski
| Models for research and understanding : exploring dynamic systems, unconventional approaches, and applications / / Stanislaw Raczynski |
| Autore | Raczynski Stanislaw |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (286 pages) |
| Disciplina | 003.3 |
| Collana | Simulation foundations, methods and applications |
| Soggetto topico |
Computer simulation
System analysis |
| ISBN |
9783031119262
9783031119255 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Concept of Model -- 2. Continuous System Models -- 3. Differential inclusions, uncertainty and functional sensitivity -- 4. Functional sensitivity applications -- 5. Attainable sets in flight control -- 6. Discrete event models -- 7. Self-organization, dynamics and agent-based model -- 8. The space of models, semi-discrete events with fuzzy logic -- 9. Models and categories -- 10. Fuzzy time instants and time model -- 11. Reversibility and the 5th dimension -- 12. Modeling, simulation and optimization. . |
| Record Nr. | UNISA-996508667803316 |
|
Raczynski Stanislaw
|
||
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||