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Social Phenomena Simulation

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Encyclopedia of Complexity and Systems Science
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Glossary

Agent (or software agent):

A self-contained entity that has a state and that is situated (able to perceive and act) in an environment. In addition, agents are often assumed to be rational and autonomous.

Cellular automaton:

A mathematical structure modeling a set of cells that interact with their neighbors. Each cell has a set of neighbors and a state. All the cells update their values simultaneously at discrete time steps. The new state of a cell is determined by the current state of its neighbors according to a local function or rule.

Microlevel simulation:

A type of simulation in which the specific behaviors of specific individuals are explicitly modeled.

Definition of the Subject

Social phenomena simulation in the area of agent-based modeling and simulation concerns the emulation of the individual behavior of a group of social entities, typically including their cognition, actions, and interaction. Agent-based social simulation constitutes the intersection of three...

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Bibliography

  • Adam C, Gaudou B (2016) BDI agents in social simulations: a survey. Knowl Eng Rev 31(3):207–238

    Article  Google Scholar 

  • Alexander JC, Giesen B, Münch R, Smelser NJ (eds) (1987) The micro-macro link. University of California Press, Berkeley

    Google Scholar 

  • Balmer M, Meister K, Nagel K (2008) Agent-based simulation of travel demand: structure and computational performance of MATSim-T. ETH, Eidgenössische Technische Hochschule Zürich, IVT Institut für Verkehrsplanung und Transportsysteme

    Google Scholar 

  • Barricelli NA (1957) Symbiogenetic evolution processes realized by artificial methods. Methodos 9(35–36):143–182

    Google Scholar 

  • Bazzan A, Klügl F (2014) A review on agent-based technology for traffic and transportation. Knowl Eng Rev 29(3):375–403

    Article  Google Scholar 

  • Brouwers L, Verhagen H (2004) Applying the Consumat model to flood management policies. In: Müller J, Seidel M (eds) 4th workshop on agent-based simulation. SCS, Montpellier, pp 29–34

    Google Scholar 

  • Carley KM, Prietula M (eds) (1994) Computational organization theory. Erlbaum, Hillsdale

    Google Scholar 

  • Davidsson P (2000) Multi-agent-based simulation: beyond social simulation. In: Moss S, Davidsson P (eds) Multi-agent-based simulation, Lecture notes in computer science, vol 1979. Springer, Berlin, pp 98–107

    Chapter  Google Scholar 

  • Davidsson P (2002) Agent-based social simulation: a computer science view. J Artif Soc Soc Simul 5(1)

    Google Scholar 

  • Davidsson P, Holmgren J, Kyhlbäck H, Mengistu D, Persson M (2007) Applications of multi-agent-based simulation. In: Antunes L, Takadama K (eds) Multi-agent-based simulation VII, Lecture notes in computer science, vol 4442. Springer, Berlin

    Chapter  Google Scholar 

  • Dawson RJ, Peppe R, Wang M (2011) An agent-based model for risk-based flood incident management. Nat Hazards 59(1):167–189

    Article  Google Scholar 

  • Epstein JM (2014) Agent_zero: toward neurocognitive foundations for generative social science. Princeton University Press

    Google Scholar 

  • Epstein JM, Axtell RL (1996) Growing artificial societies: social science from the bottom up. MIT Press, Cambridge

    Google Scholar 

  • Fiedrich F, Burghardt P (2007) Emergency response information systems: emerging trends and technologies: agent-based systems for disaster management. Commun ACM 50(3):41–42

    Article  Google Scholar 

  • García Carbajal S, Polimeni F, Múgica JL (2015) An emotional engine for behavior simulators. Int J Serious Game 2(2):57–67

    Google Scholar 

  • Gilbert N (1999) Computer simulation in the social sciences. Sage, Thousand Oaks

    Google Scholar 

  • Gilbert N, Troitzsch KG (2005) Simulation for the social scientist, 2nd edn. Open University Press, Maidenhead

    Google Scholar 

  • Guye-Vuillème A (2004) Simulation of nonverbal social interaction and small groups dynamics in virtual environments. Ph D thesis, Ècole Polytechnique Fédérale de Lausanne, No 2933

    Google Scholar 

  • Janssen MA, Jager W (1999) An integrated approach to simulating behavioural processes: a case study of the lock-in of consumption patterns. J Artif Soc Soc Simul 2(2). http://jasss.soc.surrey.ac.uk/2/2/2.html

  • Künzel J, Hämmer V (2006) Simulation in university education: the artificial agent PSI as a teaching tool. Simulation 82(11):761–768

    Article  Google Scholar 

  • Macy MW, Willer R (2002) From factors to actors: computational sociology and agent-based modeling. Annu Rev Sociol 28:143–166

    Article  Google Scholar 

  • McAlinden R, Pynadath D, Hill RW (2014) UrbanSim: using social simulation to train for stability operations. In: Ehlschlaeger CH (ed) Understanding megacities with the reconnaissance, surveillance, and intelligence paradigm, US Army white report

    Google Scholar 

  • Méndez G, Rickel J, de Antonio A (2003) Steve meets Jack: the integration of an intelligent tutor and a virtual environment with planning capabilities. In: Intelligent virtual agents, Lecture notes on artificial intelligence, vol 2792. Springer, Berlin, pp 325–332

    Google Scholar 

  • Mustaphaa K, Mcheicka H, Melloulib S (2013) Modeling and simulation agent-based of natural disaster complex systems. Procedia Comput Sci 21:148–155. https://doi.org/10.1016/j.procs.2013.09.021

    Article  Google Scholar 

  • Newell A (1994) Unified theories of cognition. Harvard University Press, Cambridge

    Google Scholar 

  • Parunak HVD, Savit R, Riolo RL (1998) Agent-based modeling vs. equation-based modeling: a case study and users’ guide. In: Sichman JS, Conte R, Gilbert N (eds) Multi-agent systems and agent-based simulation, Lecture notes in computer science, vol 1534. Springer, Berlin, pp 10–26

    Chapter  Google Scholar 

  • Prietula MJ, Carley KM, Gasser L (eds) (1998) Simulating organizations: computational models of institutions and groups. MIT Press, Cambridge

    Google Scholar 

  • Reynolds CW (1987) Flocks, herds, and schools: a distributed behavioral model. Comput Graph 21(4):25–34. (SIGGRAPH’87 conference proceedings)

    Article  Google Scholar 

  • Rickel J, Lewis Johnson W (1999) Animated agents for procedural training in virtual reality: perception, cognition, and motor control. Appl Artif Intell 13:343–382

    Article  Google Scholar 

  • Sawyer RK (2003) Artificial societies – multi-agent systems and the micro-macro link in sociological theory. Sociol Methods Res 31(3):325–363

    Article  MathSciNet  Google Scholar 

  • Schelling TC (1971) Dynamic models of segregation. J Math Sociol 1(1):143–186

    Article  MATH  Google Scholar 

  • Takahashi S, Sallach D, Rouchier J (2007) Advancing social simulation – the first world congress. Springer, Berlin

    Book  Google Scholar 

  • Williams R (1993) An agent based simulation environment for public order management training. In: Western simulation multiconference, object-oriented simulation conference (OOS ’93), San Diego, pp 151–156

    Google Scholar 

  • Yergens D, Hiner J, Denzinger J, Noseworthy T (2006) IDESS – a multi-agent-based simulation system for rapid development of infectious disease models. Int Trans Syst Sci Appl 1(1):51–58

    Google Scholar 

Further Reading

  • Classic books in the area of simulation of social behavior include “Growing Artificial Societies: Social Science from the Bottom Up” by Epstein and Axtell (1996) and “Simulation for the Social Scientist” by Gilbert and Troitzsch (2005)

    Google Scholar 

  • More recent findings can be found in, e. g., the Journal of Artificial Societies and Social Simulation (http://jasss.soc.surrey.ac.uk) and the proceedings of, e. g., the International Workshop series on Multi-Agent-Based Simulation (MABS) (http://www.pcs.usp.br/~mabs/), the series of International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation (http://sbp-brims.org) and the conference of the European Social Simulation Association (ESSA) (http://www.essa.eu.org/), the Pacific-Asian Association for Agent-based Approach in Social Systems Sciences (http://www.paaa.asia/) and the Computational Social Science Society of the Americas (http://www.computationalsocialscience.org)

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Davidsson, P., Verhagen, H. (2017). Social Phenomena Simulation. In: Meyers, R. (eds) Encyclopedia of Complexity and Systems Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27737-5_498-6

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  • DOI: https://doi.org/10.1007/978-3-642-27737-5_498-6

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  • Print ISBN: 978-3-642-27737-5

  • Online ISBN: 978-3-642-27737-5

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Chapter history

  1. Latest

    Social Phenomena Simulation
    Published:
    22 August 2017

    DOI: https://doi.org/10.1007/978-3-642-27737-5_498-6

  2. Original

    Social Phenomena Simulation
    Published:
    10 October 2014

    DOI: https://doi.org/10.1007/978-3-642-27737-5_498-5