J. Andreoni and J. H. Miller, Auctions with artificial adapatative agents, Games and economic behavior, pp.39-64, 1995.
DOI : 10.1006/game.1995.1024

D. Ashlock, M. D. Smucker, E. A. Stanley, and L. Tesfatsion, Preferential partner selection in an evolutionary study of Prisoner's Dilemma, Biosystems, vol.37, issue.1-2, pp.1-2, 1996.
DOI : 10.1016/0303-2647(95)01548-5

T. Brenner, A behavioural learning approach to the dynamics of prices, Computational economics, pp.67-94, 2002.

W. A. Brock and C. Hommes, A Rational Route to Randomness, Econometrica, vol.65, issue.5, pp.1059-1096, 1997.
DOI : 10.2307/2171879

P. A. Diamond, A search equilibrum approach to the mico fundation of macroeconomics, 1984.

J. Duffy, Agent-based models and human subject experiments Handbook of computational economics, Handbook of Computational Economics, vol.19, issue.2, pp.949-1011, 2006.

J. Duffy and U. Uvner, Internet auctions with artificial adaptative agents, Journal of economic behavior and organization, 2007.

J. M. Epstein and R. L. Axtell, Growing artificial societies : Social science from the bottom up, 1996.

J. H. Holland, Adaptation in natural and artificial systems, 1975.

C. Hommes, Heterogeneous Agent Models in Economics and Finance, Agent-based computational economics, 2006.
DOI : 10.2139/ssrn.742384

M. A. Janssen and T. K. Ahn, Learning, Signaling, and Social Preferences in Public-Good Games, Ecology and Society, vol.11, issue.2, p.21, 2006.
DOI : 10.5751/ES-01752-110221

A. Kirman and N. Vriend, Evolving market structure: An ACE model of price dispersion and loyalty, Journal of Economic Dynamics and Control, vol.25, issue.3-4, pp.459-502, 2001.
DOI : 10.1016/S0165-1889(00)00033-6

A. Kirman, R. Schulz, W. Hardle, and A. Werwatz, Transactions that did not happen and their influence on prices, Journal of Economic Behavior & Organization, vol.56, issue.4, pp.567-591, 2005.
DOI : 10.1016/j.jebo.2004.03.004

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.195.5035

B. Lebaron, Post walrassian macoeconomics Agent-based finnacial markets : Matching stylized facts with style, pp.231-238, 2006.
DOI : 10.1017/cbo9780511617751.013

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.125.997

N. Matos, C. Sierra, and N. R. Jennings, Determining successful negotiation strategies : an evolutionary approach. Pages 182?189 of, Proceedings of the 3rd international conference on multi-agent systems (icmas-98), 1998.
DOI : 10.1109/icmas.1998.699048

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.37.5928

D. T. Mortensen, The matching process as a non-cooperative/bargaining game. Pages 233?258 of The economics of information and uncertainty, 1982.

J. R. Oliver, A Machine-Learning Approach to Automated Negotiation and Prospects for Electronic Commerce, Journal of Management Information Systems, vol.9, issue.3, pp.83-112, 1996.
DOI : 10.1080/10919399209540174

R. Riolo, The effects of tag-mediated selection of partners in evolving populations playing the iterated prisoner's dilemma. Santa Fe Institute Working Paper, pp.97-99, 1997.

A. P. Rocha and E. Oliveira, Agents advanced features for negotiation in electronic commerce and virtual organisations formation process, Agent mediated electronic commerce : the european agentlink perspective, 1991.

J. Rouchier, Interaction routines and selfish behaviours in an artificial market. WEHIA, Workshop of Economics with Heterogenous Interacting Agents, 2004.

J. Rouchier and J. P. Mazaud, Trade relation and moral link in transactions among retailers and wholesale sellers on the arnavaux market, 11th World Congress for Social Economics, 2004.

J. Rouchier and S. Robin, Double-auction for real and artificial agents : Information perception and price dynamics. Simulation and gaming, pp.195-208, 2006.
DOI : 10.1177/1046878106287947

URL : https://hal.archives-ouvertes.fr/halshs-00550500

L. Testfatsion, Agent-based computational modeling and macroeconomics, Economic Report, vol.05023, 2005.

G. Weisbuch, A. Kirman, and D. Heirreiner, Market organisation and trading relationships. The economic journal, 2000.
DOI : 10.1111/1468-0297.00531

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.144.4563

D. Zeng and K. Sycara, How can an agent learn to negociate. Pages 233?244 of : Intelligent agents iii : Agent theories, architectures, and languages Indicators Impact of C impact of ? Evolution of offers Counter-offers Transaction prices Emergence of bargaining Rounds of transaction Ex-post bargaining power index, EBP) TAB. 4 ? Impact of time constraint (C) and frequency of Sellers' learning (?), 1997.
DOI : 10.1007/bfb0013589

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.67.4063