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Swarming Estimation of Realistic Mental Models

  • Conference paper
Multi-Agent-Based Simulation XIII (MABS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7838))

Abstract

Researchers have explored many formalisms to model how people think about their world. We describe an application that requires modeling how people forecast events in the real world. The naïve assumption is that they use formalisms that model how the world actually evolves. These formalisms are at variance with empirical psychological results. We present a more realistic alternative, the Narrative Space Model (NSM), describe a swarming agent algorithm to fit its parameters from observed data, and present some early results.

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References

  1. Arulampalam, S., Maskell, S., Gordon, N., Clapp, T.: A Tutorial on Particle Filters for On-line Non-linear/Non-Gaussian Bayesian Tracking. IEEE Transactions on Signal Processing 50, 174–188 (2001)

    Article  Google Scholar 

  2. Busemeyer, J.R., Townsend, J.T.: Decision Field Theory: A Dynamic-Cognitive Approach to Decision Making in an Uncertain Environment. Psychological Review 100(3), 432–459 (1993)

    Article  Google Scholar 

  3. Diaconis, P., Rolles, S.W.W.: Bayesian analysis for reversible Markov chains. Ann. Statist. 34(3), 1270–1292 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  4. Dieckmann, N.F.: Communicating Risk in Intelligence Forecasts: The Consumer’s Perspective. Thesis at University of Oregon, Department of Dept. of Psychology (2007)

    Google Scholar 

  5. Filatova, T., Parker, D., van der Veen, A.: Agent-Based Urban Land Markets: Agent’s Pricing Behavior, Land Prices and Urban Land Use Change. Journal of Artificial Societies and Social Simulation 12(1), 3 (2009)

    Google Scholar 

  6. Fisher, W.R.: Human Communication as Narration: Toward a Philosophy of Reason, Value, and Action. University of South Carolina Press, Columbia (1989)

    Google Scholar 

  7. Gigerenzer, G.: Bounded and Rational. In: Stainton, R.J. (ed.) Contemporary Debates in Cognitive Science, Contemporary Debates in Philosophy, vol. 7, pp. 115–133. Blackwell, Oxford (2006)

    Google Scholar 

  8. Heuer Jr., R.J.: Psychology of Intelligence Analysis. Center for the study of intelligence, Central Intelligence Agency (1999)

    Google Scholar 

  9. Jeffrey, R.: Subjective Probability: The Real Thing. Cambridge University Press, Cambridge (2004)

    Book  MATH  Google Scholar 

  10. Kahneman, D., Slovic, P., Tversky, A. (eds.): Judgment under uncertainty: Heuristics and Biases. Cambridge Univ. Press, Cambridge (1982)

    Google Scholar 

  11. Kahneman, D., Tversky, A.: The Simulation Heuristic. In: Kahneman, D., Slovic, P., Tversky, A. (eds.) Judgment Under Uncertainty: Heuristics and Biases, pp. 201–208. Cambridge University Press, Cambridge (1982)

    Chapter  Google Scholar 

  12. Millington, J., Romero-Calcerrada, R., Wainwright, J., Perry, G.: An Agent-Based Model of Mediterranean Agricultural Land-Use/Cover Change for Examining Wildfire Risk. Journal of Artificial Societies and Social Simulation 11(4) (2008)

    Google Scholar 

  13. Page, S.E.: The Difference: How the Power of Diversity Creates Better Groups, Firms, Schools, and Societies. Princeton University Press, Princeton (2007)

    Google Scholar 

  14. Van Dyke Parunak, H., Brueckner, S.: Concurrent Modeling of Alternative Worlds with Polyagents. In: Antunes, L., Takadama, K. (eds.) MABS 2006. LNCS (LNAI), vol. 4442, pp. 128–141. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  15. Van Dyke Parunak, H., Brueckner, S., Savit, R.: Universality in Multi-Agent Systems. In: Proceedings of Third International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2004), pp. 930–937. ACM (2004)

    Google Scholar 

  16. Power, C.: A Spatial Agent-Based Model of N-Person Prisoner’s Dilemma Cooperation in a Socio-Geographic Community. Journal of Artificial Societies and Social Simulation 12(1), 8 (2009)

    MathSciNet  Google Scholar 

  17. Simon, H.A.: The Sciences of the Artificial. MIT Press, Cambridge (1969)

    Google Scholar 

  18. Sterman, J.: Business Dynamics. McGraw-Hill, New York (2000)

    Google Scholar 

  19. Sterman, J.D.: Modeling Managerial Behavior: Misperceptions of Feedback in a Dynamic Decision Making Experiment. Management Science 35(3), 321–339 (1989)

    Article  Google Scholar 

  20. Surowiecki, J.: The Wisdom of Crowds: Why the Many are Smarter Than the Few and How Collective Wisdom Shapes Business, Economies, Societies and Nations. Doubleday, New York (2004)

    Google Scholar 

  21. Tversky, A., Kahneman, D.: Causal schemas in judgments under uncertainty. In: Kahneman, D., Slovic, P., Tversky, A. (eds.) Judgment under Uncertainty: Heuristics and Biases, pp. 117–128. Cambridge University Press, Cambridge (1982)

    Chapter  Google Scholar 

  22. van Rijsbergen, C.J.: The Geometry of Information Retrieval. Cambridge University Press, Cambridge (2004)

    Book  MATH  Google Scholar 

  23. Williamson, J.: Combining probability and logic: introduction. Journal of Logic, Language and Information 15(1-2), 1–3 (2006)

    Article  MathSciNet  Google Scholar 

  24. Wood, M.J., Douglas, K.M., Sutton, R.M.: Dead and Alive: Beliefs in Contradictory Conspiracy Theories. Social Psychological and Personality Science (2012) (forthcoming)

    Google Scholar 

  25. Yang, C., Kurahashi, S., Kurahashi, K., Ono, I., Terano, T.: Agent-Based Simulation on Women’s Role in a Family Line on Civil Service Examination in Chinese History. Journal of Artificial Societies and Social Simulation 12(2), 5 (2009)

    Google Scholar 

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Van Dyke Parunak, H., Brueckner, S., Downs, E.A., Sappelsa, L. (2013). Swarming Estimation of Realistic Mental Models. In: Giardini, F., Amblard, F. (eds) Multi-Agent-Based Simulation XIII. MABS 2012. Lecture Notes in Computer Science(), vol 7838. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38859-0_4

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  • DOI: https://doi.org/10.1007/978-3-642-38859-0_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38858-3

  • Online ISBN: 978-3-642-38859-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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