Avatar-based Macroeconomics - Experimental Insights into Artificial Agents Behavior

Gianfranco Giulioni, Edgardo Bucciarelli, Marcello Silvestri, Paola D'Orazio

Abstract

In this paper we present a new methodological approach based on the interplay between Experimental Economics and Agent-based Economics. Advances in the design and implementation of individual autonomous economic agents are presented. The methodology is organized in three steps. The first step focuses on agents. We use an inductive rather than a deductive approach: by means of the experimental method we observe agents’ behaviors. The second step is the behavioral rules’ building process that allows us to study how to estimate and structure artificial agents. In the third step, the set of previously induced behavioral rules are used to build artificial agents, i.e. “molded” avatars, which operate in the “archetype” macroeconomic system. The resulting Multi-agent system serves as the macroeconomic environment for our simulations and economic policy analysis.

References

  1. Akerlof, G. A. (2007). The Missing Motivation in Macroeconomics. American Economic Review, 97(1):5-36.
  2. Al-Ubaydli, O. and List, J. A. (2012). On the generalizability of experimental results in economics. Working Paper 17957, National Bureau of Economic Research.
  3. Aoki, M. and Yoshikawa, H. (2007). Reconstructing Macroeconomics: A Perspective from Statistical Physics and Combinatorial Stochastic Processes. Cambridge University Press, Cambridge.
  4. Arifovic, J. (1996). The behavior of the exchange rate in the genetic algorithm and experimental economies. Journal of Political Economy, 104(3):510-41.
  5. Arifovic, J. (2000). Evolutionary algorithms in macroeconomic models. Macroeconomic Dynamics, 4:373- 414.
  6. Arthur, W. B. (1991). Designing Economic Agents that Act like Human Agents: A Behavioral Approach to Bounded Rationality. American Economic Review Papers and Proceedings, 81(2):353-359.
  7. Arthur, W. B. (1993). On designing economic agents that behave like human agents. Journal of Ecolutionary Economics, 3:1-22.
  8. Bordalo, P., Gennaioli, N., and Shleifer, A. (2012). Salience in experimental tests of the endowment effect. Working Paper 17761, National Bureau of Economic Research.
  9. Chen, S.-H. (2012). Varieties of agents in agent-based computational economics: A historical and an interdisciplinary perspective. Journal of Economic Dynamics and Control, 36(1):1-25.
  10. Dewald, W. G., Thursby, J. G., and Anderson, R. G. (1986). Replication in empirical economics: The journal of money, credit and banking project. American Economic Review, 76(4):587-603.
  11. Duffy, J. (2001). Learning to speculate: Experiments with artificial and real agents. Journal of Economic Dynamics and Control, 25(3-4):295-319.
  12. Duffy, J. (2006). Agent-based models and human subject experiments. In Tesfatsion, L. and Judd, K. L., editors, Handbook of Computational Economics, volume 2 of Handbook of Computational Economics, chapter 19, pages 949-1011. Elsevier.
  13. Fréchette, G. R. (2009). Laboratory experiments: Professionals versus students. The Methods of Modern Experimental Economics. Oxford University Press, forthcoming.
  14. Giulioni, G., Bucciarelli, E., Silvestri, M., and D'Orazio, P. (2013). The educational relevance of experimental economics: a web application for learning entrepreneurs hip in high schools, universities and workplaces. In International Journal of Technology Enhanced Learning, volume forthcoming. SpringerVerlag.
  15. Guillen, P. and F.Veszteg, R. (2006). Subject pool bias in economics experiments. ThE Papers 06/03, Department of Economic Theory and Economic History of the University of Granada.
  16. Gürcan, O., Dikenelli, O., and Bernon, C. (2013). A generic testing framework for agent-based simulation models. Journal of Simulation, pages 1-19.
  17. Hansen, L. P. and Heckman, J. J. (1996). The empirical foundations of calibration. Journal of Economic Perspectives, 10(1):87-104.
  18. Hertwig, R. and Ortmann, A. (2001). Experimental practices in economics: A methodological challenge for psychologists? Behavioral and Brain Sciences, 24:383-403.
  19. Hunter, J. E. (2001). The desperate need for replications. Journal of Consumer Research, 28(1):149-58.
  20. Janssen, M. C. (2008). Microfoundations. In Durlauf, S. N. and Blume, L. E., editors, The New Palgrave Dictionary of Economics. Palgrave Macmillan, Basingstoke.
  21. Kirman, A. (1989). The Intrinsic Limits of Modern Economic Theory: The Empereur has No Clothes. The Economic Journal, 99(395):126-139.
  22. Kirman, A. P. (1992). Whom or What Does The Representative Individual Represent. Journal of Economic Perspective, 6:117-36.
  23. Klügl, F. (2008). A validation methodology for agent-based simulations. In Proceedings of the 2008 ACM symposium on Applied computing, SAC 7808, pages 39-43, New York, NY, USA. ACM.
  24. Levitt, S. and List, J. (2007). What do laboratory experiments tell us about the real world? Journal of Economic Perspectives, 21(2):153-174.
  25. Lucas, R. J. (1976). Econometric policy evaluation: A critique. Carnegie-Rochester Conference Series on Public Policy, 1(1):19-46.
  26. Maniadis, Z., Tufano, F., and List, J. A. (2013). One swallow doesnt make a summer: New evidence on anchoring effects. Discussion Papers 2013-07, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
  27. Miller, R. M. (2008). Don't let your robots grow up to be traders: Artificial intelligence, human intelligence, and asset-market bubbles. Journal of Economic Behavior & Organization, 68(1):153-166.
  28. Rubinstein, A. (1998). Modeling Bounded Rationality. MIT Press, Cambridge and London.
  29. Sargent, T. J. (1993). Bounded Rationality in Macroeconomics. Clarendon Press, Oxford.
  30. Smith, V. L. (1976). Experimental Economics: Induced Value Theory. American Economic Review, 66(2):274-79.
  31. Smith, V. L. (2002). Method in Experiment: Rhetoric and Reality. Experimental Economics, 5:91-110.
  32. Smith, V. L. and Walker, J. M. (1993). Monetary rewards and decision cost in experimental economics. Economic Inquiry, 31(2):245-261.
  33. Tesfatsion, L. and Judd, K. L., editors (2006). Agent-Based Computational Economics, volume 2 of Handbook of Computational Economics. Elsevier/North-Holland (Handbooks in Economics series).
  34. Velupillai, K. V. (2011). Towards an algorithmic revolution in economic theory. Journal of Economic Surveys, 25(3):401-430.
  35. Vriend, N. (1994). Artificial intelligence and economic thoery. Many-agent Simulation and Artificial Life (Frontiers in Artificial Intelligence & Applications), pages 31-47.
  36. Werker, C. and Brenner, T. (2004). Empirical Calibration of Simulation Models. Technical Report 04.12, Eindhoven Centre for Innovation Studies, The Netherlands.
  37. Windrum, P., Fagiolo, G., and Moneta, A. (2007). Empirical validation of agent-based models: Alternatives and prospects. Journal of Artificial Societies and Social Simulation, 10(2).
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Paper Citation


in Harvard Style

Giulioni G., Bucciarelli E., Silvestri M. and D'Orazio P. (2014). Avatar-based Macroeconomics - Experimental Insights into Artificial Agents Behavior . In Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-016-1, pages 272-277. DOI: 10.5220/0004917902720277


in Bibtex Style

@conference{icaart14,
author={Gianfranco Giulioni and Edgardo Bucciarelli and Marcello Silvestri and Paola D'Orazio},
title={Avatar-based Macroeconomics - Experimental Insights into Artificial Agents Behavior},
booktitle={Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2014},
pages={272-277},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004917902720277},
isbn={978-989-758-016-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Avatar-based Macroeconomics - Experimental Insights into Artificial Agents Behavior
SN - 978-989-758-016-1
AU - Giulioni G.
AU - Bucciarelli E.
AU - Silvestri M.
AU - D'Orazio P.
PY - 2014
SP - 272
EP - 277
DO - 10.5220/0004917902720277