Agent-based models and simulations in economics and social sciences: From conceptual exploration to distinct ways of experimenting

JASSS

Volumn 13, Issue 1, 2010, Pages

  Phan, Denis ^a   Varenne, Franck ^a  

^a NONE

Author keywords

Agent based models and simulations; Conceptual exploration; Credible world; Denotational hierarchy; Economics; Epistemology; Experiment; Model world; Social sciences

Indexed keywords

EID: 76349094304     PISSN: 14607425     EISSN: None     Source Type: Journal    
DOI: 10.18564/jasss.1532     Document Type: Article

References (61)

1. ACHINSTEIN, P (1968) Concepts of Science, Baltimore, Johns Hopkins University Press
2. AMBLARD, F, Bommel P. and Rouchier J.(2007) Assessment and Validation of multi-agents Models. In: Phan, D., Amblard, F. (eds.), pp.93-114.
3. AXELROD, R. (1997/2006) Advancing the Art of Simulation in the Social Sciences. In: Conte, R., Hegselmann, R., Terna, P. (eds.), Simulating Social Phenomena, Berlin, Springer-Verlag, pp.21-40. Updated version in Rennard, J.P. (ed.), Handbook of Research on Nature Inspired Computing for Economy and Management, Hersey, PA: Idea Group, 2006.
4. AXTELL, R. L. (2000) Why agents? On the varied motivations for agent computing in the social sciences. In: Macal, M., Sallach, D. (eds.), Proceedings of the workshop on agent simulation: Applications, models, and tools, Chicago, IL: Argonne National Laboratory, pp.3-24.
5. BERKELEY, I. (2000) What the... is a subsymbol? Minds and Machines, 10, pp.1-14.
6. BERKELEY, I. (2008) What the... is a symbol? Minds and Machines, 18, pp.93-105.
7. BOMMEL, P. and Müller J.P. (2007) An introduction to UML for Modelling in the Human and Social Sciences. In: Phan, D., Amblard, F, pp. 273-294.
8. DESSALLES, J.L., Müller, J.P. and Phan, D. (2007) Emergence in multi-agent systems: conceptual and methodological issues. In: Phan, D., Amblard, F. (eds.), pp. 327-356.
9. DUBOIS, M. and Phan, D. (2007) Philosophy of Social Science in a nutshell: from discourse to model and experiment. In: Phan, D., Amblard, F. (eds.), pp 393-431).
10. DURKHEIM, E. (1982) The rules of sociological method, New York, The Free Press,
11. FERBER, J. (1999) Multi-agent Systems: an Introduction to Distributed Artificial Intelligence, Reading, MA: Addison-Wesley Publishing Company.
12. FERBER, J. (2007) Multi-agent Concepts and Methodologies. In: Phan, D., Amblard, F (eds.), pp.7-34.
13. FISCHER, O. (1996) "Iconicity: A definition". In: Fischer, O. (ed), Iconicity in Language and Literature, Academic Website of the University of Amsterdam, maintained since 1996, http://home.hum.uva.nl/iconicity/
14. FRANKLIN, A. (1986) The Neglect of Experiment, Cambridge, Ma., Cambridge University Press.
15. FREY, G. (1961) Symbolische und Ikonische Modelle. In: Freudenthal, H. (ed.), The concept and the role of the model in mathematics and natural and social sciences, Dordrecht, Reidel pub., pp.89-97.
16. FRIEDMAN, M. (1953) Essays on Positive Economics, Chicago, Il., University of Chicago Press.
17. GALISON, P. (1987) How Experiments End, Chicago, Il., University of Chicago Press.
18. GALISON, P. (1996) "Computer Simulations and the Trading Zone", in: P. Galison & D.J. Stump (ed.), The Disunity of Science, Stanford University Press, pp. 118-157.
19. GALISON, P. (1997) Image and Logic, Chicago, Il., University of Chicago Press
20. GILBERT, N. and Conte, R. Eds., (1995) Artificial Societies: The Computer Simulation of Social Life. London, UCL Press.
21. GILBERT, N. and Troitzsch, K. Eds. (1999) Simulation for the Social Scientist. Philadelphia, Open University Press.
22. GOODMAN N. (1968) Languages of Art: An Approach to a Theory of Symbols, Indianapolis, Bobbs-Merrill.
23. GOODMAN N. (1981) Routes of reference, Critical Inquiry, 8(1), pp. 121-132.
24. GOODMAN N.(1987) Ways of Worldmaking, Indianapolis, Hackett Pub.
25. GUALA, F. (2002) Models, Simulations, and Experiments. In: Magnani, L., Nersessian, N. J. (eds.) Model-Based Reasoning: Science, Technology, Values, NY, Kluwer, pp.59-74.
26. GUALA, F. (2003) Experimental Localism and External Validity, Philosophy of Science, 70, pp.1195-1205.
27. GUALA, F. (2008) Experimentation in Economics. In: Mäki, U. (ed.) Handbook of the Philosophy of Science, Volume 13: Philosophy of Economics, forthcoming
28. HACKING, I. (1983) Representing and Intervening, Cambridge Ma, Cambridge University Press.
29. HALES, D., Edmonds B. and Rouchier, J. (2003) Model to model analysis, Journal of Artificial Societies and Social Simulation, 6(4) http://jasss.soc.surrey.ac.uk/6/4/5.html
30. HARTMAN, S. (1996) The world as a process, In: Hegselmann, R., Müller, U., Troitzsch, K. (eds.) Modelling and simulation in the social sciences from the philosophy of science point of view, Dordrecht, Kluwer, pp.77-100.
31. HAUSMAN, D.M. (1992) The Inexact and Separate Science of Economics, Cambridge Ma, Cambridge University Press.
32. HUMPHREYS, P. (2004) Extending Ourselves: Computational Science, Empiricism, and Scientific Method, Oxford, Oxford University Press.
33. JEANNEROD, M. (2006) Motor Cognition: What Action tells to the Self, Oxford University Press.
34. LIVET P. (2007) Towards an Epistemology of Multi-agent Simulations in social Sciences. In Phan, D., Amblard, F (eds.), pp.169-193.
35. LIVET P., Phan, D. and Sanders, L. (2008) Why do we need ontology for Agent-Based Models? In: Schredelseker, K., Hauser, F. (eds.) Complexity and Artificial Markets. LNEMS, 614, Berlin, Springer, pp. 133-146.
36. MÄKI, U. (1992) On the method of isolation in economics. In: Dilworth, C (ed.), special issue of Poznan Studies in the Philosophy of the Sciences and the Humanities, "Idealization IV: Intelligibility in Science", 26, pp. 319-354; reprinted in Davis, J. B. (ed.), Recent Developments in Economic Methodology, Aldershot, Edward Elgar (2004)
37. MÄKI, U. (2002) The dismal queen of the social sciences. In: Mv§ki, U. (ed.) Fact and Fiction in Economics, Cambridge Ma., Cambridge University Press, pp. 3-34.
38. MÄKI, U. (2005) Models are experiments, experiments are models, Journal of Economic Methodology, 12(2), pp. 303-315.
39. MINSKY, M. (1965) Matter, Mind and Models, Proceedings of IFIP Congress, pp.45-49.
40. MORGAN, M.S. and Morrison, M. (eds.) (1999) Models as Mediators, Cambridge Ma., Cambridge University Press.
41. MORGAN, M.S. (2005) Experiments versus Models: New Phenomena, Inference and Surprise, Journal of Economic Methodology, 12, pp. 317-329.
42. MORRISON, M.C. (1998) Experiment. In: Craig, E. (ed.) The Routledge Encyclopaedia of Philosophy. London, Routledge, pp. 514-518.
43. NADEAU, R. (1999) Vocabulaire technique et analytique de l'epistemologie, Paris, PUF.
44. PECK, S.L. (2004) Simulation as experiment: a philosophical reassessment for biological modeling, Trends in Ecology & Evolution, 19(10), pp. 530-534.
45. PHAN, D. and Amblard, F. Eds. (2007) Agent Based Modelling and Simulations in the Human and Social Sciences, Oxford, The Bardwell Press.
46. PHAN, D., Schmid, A.F. and Varenne, F. (2007) Epistemology in a nutshell: Theory, model, simulation and experiment. In: Phan, D., Amblard, F (eds.), pp. 357-392.
47. RAMAT, E. (2007) Introduction to Discrete Event Modelling and Simulation. In: Phan, D., Amblard, F (eds.), pp.35-62.
48. SCHELLING, T.S. (1978) Micromotives and Macrobehaviour, N.Y, Norton and Co.
49. SMOLENSKY, P. (1988) On the proper treatment of connectionism, The Behavioural and Brain Sciences, 11, pp. 1-74.
50. SOLOW, R.M. (1997) How did economics get that way and what way did it get? Daedalus, Winter, 126(1), pp. 39-58.
51. SUGDEN, R. (2002) Credible Worlds: The Status of Theoretical Models in Economics. In: Mäki, U. (ed.) Fact and Fiction in Economics, Cambridge Ma., Cambridge University Press, pp. 107-136.
52. TESFATSION, L. (2002) Agent-Based Computational Economics: Growing Economies from the Bottom Up, Artificial Life, 8(1), March pp.55-82.
53. TESFATSION, L. and Judd, K.L. Eds. (2006) Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics, Amsterdam, Elsevier North-Holland.
54. VARENNE, F. (2001) What does a computer simulation prove? In: Giambiasi, N., Frydman, C. (eds.) Simulation in industry - ESS 2001, Proc. of the 13th European Simulation Symposium, SCS Europe Bvba, Ghent, pp. 549-554.
55. VARENNE, F. (2007) Du modele à la simulation informatique. Paris, Vrin.
56. VARENNE, F. (2008) Modeles et simulations: pluriformaliser, simuler, remathematiser. In: Kupiec, J.J., Lecointre, G., Silberstein, M., Varenne, F. (eds.) Modeles Simulations Systemes. Paris, Syllepse, pp.153-180.
57. VARENNE, F. (2009): Models and Simulations in the Historical Emergence of the Science of Complexity. In: M.A. Aziz-Alaoui & C. Bertelle (eds), From System Complexity to Emergent Properties, Berlin, Springer, pp. 3-21.
58. WALLISER, B. (2004) Topics of cognitive economics. In: Bourgine, P., Nadal, J.P. (eds.) Cognitive Economics, an interdisciplinary approach, Berlin, Springer, pp. 183-198.
59. WALLISER, B. (2008) Les modeles de l'economie cognitive, In: Kupiec, J.J., Lecointre, G., Silberstein, M., Varenne, F. (eds.) Modeles Simulations Systemes. Paris, Syllepse, pp. 183-199.
60. WINSBERG, E. (1999) Sanctioning models: the epistemology of simulation, Science in Context, 12, pp. 275-292.
61. WINSBERG, E. (2009) A Tale of Two Methods. Synthese, 169 (3), pp. 575-592.