Cherkashin, Dmitriy; Farmer, J. Doyne; Lloyd, Seth The reality game. (English) Zbl 1170.91309 J. Econ. Dyn. Control 33, No. 5, 1091-1105 (2009). Summary: We introduce an evolutionary game with feedback between perception and reality, which we call the reality game. It is a game of chance in which the probabilities for different objective outcomes (e.g. heads or tails in a coin toss) depend on the amount wagered on those outcomes. By varying the ‘reality map’, which relates the amount wagered to the probability of the outcome, it is possible to move continuously from a purely objective game in which probabilities have no dependence on wagers to a purely subjective game in which probabilities equal the amount wagered. We study self-reinforcing games, in which betting more on an outcome increases its odds, and self-defeating games, in which the opposite is true. This is investigated in and out of equilibrium, with and without rational players, and both numerically and analytically. We introduce a method of measuring the inefficiency of the game, similar to measuring the magnitude of the arbitrage opportunities in a financial market. We prove that the inefficiency converges to equilibrium as a power law with an extremely slow rate of convergence: the more subjective the game, the slower the convergence. Cited in 2 Documents MSC: 91A15 Stochastic games, stochastic differential games 91B70 Stochastic models in economics Keywords:financial markets; evolutionary games; information theory; arbitrage; market efficiency; beauty contests; noise trader models; market reflexivity PDF BibTeX XML Cite \textit{D. Cherkashin} et al., J. Econ. Dyn. Control 33, No. 5, 1091--1105 (2009; Zbl 1170.91309) Full Text: DOI arXiv OpenURL References: [1] Akiyama, E.; Kaneko, K., Dynamical systems game theory and dynamics of games, Physica D, 147, 221-258, (2000) · Zbl 1038.91510 [2] Alos-Ferrer, C.; Ania, A.B., The asset market game, Journal of mathematical economics, 41, 67-90, (2005) · Zbl 1118.91032 [3] Anufriev, M.; Bottazzi, G.; Pancotto, F., Equilibria, stability and asymptotic dominance in a speculative market with heterogeneous traders, Journal of economic dynamics and control, 30, 1787-1835, (2006) · Zbl 1162.91462 [4] Arthur, W.B.; Ermoliev, Y.M.; Kaniovski, Y.M., A generalized urn problem and its applications, Cybernetics and systems analysis, 19, 61-71, (1983) [5] Arthur, W.B., Increasing returns and path dependence in the economy, (1994), University of Michigan Press Ann Arbor [6] Arthur, W.B., Inductive reasoning and bounded rationality, The American economic review, 84, 406-411, (1994) [7] Blume, L.E.; Easley, D., Economic natural selection, Economics letters, 42, 281-289, (1993) [8] Blume, L.E.; Easley, D., Evolution and market behavior, Journal of economic theory, 58, 9-40, (1992) · Zbl 0769.90014 [9] Blume, L.E.; Easley, D., Optimality and natural selection in markets, Journal of economic theory, 107, 95-135, (2002) · Zbl 1027.91031 [10] Breiman, L., Optimal gambling systems for favorable games, (), 65-78 · Zbl 0109.36803 [11] Challet, D.; Zhang, Y.C., Emergence of cooperation and organization in an evolutionary game, Physica A, 246, 407-418, (1997) [12] Cherkashin, D., 2004. Perception game. Ph.D. Thesis, University of Chicago. [13] Cover, T.M.; Thomas, J.A., Elements of information theory, (1991), Wiley New York, Wiley Series in Telecommunications · Zbl 0762.94001 [14] Dosi, G.; Kaniovski, Y.M., On “badly behaved” dynamics: some applications of generalized urn schemes to technological and economic change, Journal of evolutionary economics, 4, 93-123, (1994) [15] Hens, T.; Schenk-Hoppe, K., Evolutionary finance: introduction to the special issue, Journal of mathematical economics, 41, 1-5, (2005) [16] Hens, T.; Schenk-Hoppe, K., Evolutionary stability of portfolio rules in incomplete markets, Journal of mathematical economics, 41, 43-66, (2005) · Zbl 1118.91050 [17] Hommes, C.H., Adaptive learning and roads to chaos: the case of the cobweb, Economics letters, 36, 127-132, (1991) · Zbl 0729.90022 [18] Hommes, C.H., Dynamics of the cobweb model with adaptive expectations and nonlinear supply and demand, Journal of economic behavior and organization, 24, 315-335, (1994) [19] Kelly, J.L., A new interpretation of information rate, The Bell system technical journal, 35, 917-926, (1956) [20] Keynes, J.M., The general theory of employment, interest and money, (1936), Macmillan London [21] Miller, M., 2005. Strategy-based wealth distributions. \(\langle\)http://www.santafe.edu/education/reu/2005/files/michaelmiller.pdf⟩, Santa Fe Institute. [22] Sandroni, A., Do markets favor agents able to make accurate predictions?, Econometrica, 68, 1303-1341, (2000) · Zbl 1055.91539 [23] Sato, Y.; Akiyama, E.; Farmer, J.D., Chaos in learning a simple two-person game, Proceedings of the national Academy of sciences of the USA, 99, 4748-4751, (2002) · Zbl 1015.91014 [24] Shleifer, A., Clarendon lectures: inefficient markets, (2000), Oxford University Press Oxford [25] Soros, G., The alchemy of finance, (1987), Wiley New York This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.