Reading Material

01) Robert Axelrod. An evolutionary approach to norms. The American Political Science Review, 80(4):1095–1111, 1986. link

02) Rosaria Conte and Mario Paolucci. Social cognitive factors of unfair ratings in reputation reporting systems. Web Intelligence, IEEE / WIC / ACM International Conference on, 0:316+, 2003. link

03) Andrew W. Delton, Leda Cosmides, Marvin Guemo, Theresa E. Robertson, and John Tooby. The psychosemantics of free riding: dissecting the architecture of a moral concept. Journal of personality and social psychology, 102(6):1252–1270, June 2012. link

04) Frank Dignum and Liz Sonenberg. A dialogical argument for the usefulness of logic in MAS. Journal of Artificial Societies and Social Simulation, 7(4), 2004. link

05) Bruce Edmonds. How formal logic can fail to be useful for modelling or designing MAS. Journal of Artificial Societies and Social Simulation, 7(4), 2004. link

06) Ben Fitzpatrick and Jason Martinez. Agent-Based modeling of ecological niche theory and assortative drinking. Journal of Artificial Societies and Social Simulation, 15(2), 2012. link

07) José M. Galán and Luis R. Izquierdo. Appearances can be deceiving: Lessons learned Re-Implementing axelrod’s ‘evolutionary approach to norms’. Journal of Artificial Societies and Social Simulation, 8(3):2, 2005. link

08) Luis R. Izquierdo, Segismundo S. Izquierdo, José M. Galán, and José I. Santos. Techniques to understand computer simulations: Markov chain analysis. Journal of Artificial Societies and Social Simulation, 12(1):6, 2009. link

09) Wander Jager and Frederic Amblard. Uniformity, bipolarization and pluriformity captured as generic stylized behavior with an Agent-Based simulation model of attitude change. Computational & Mathematical Organization Theory, 10(4):295–303, January 2005. link

10) Jasper Muis. Simulating political stability and change in the netherlands (1998-2002): an Agent-Based model of party competition with media effects empirically tested. Journal of Artificial Societies and Social Simulation, 13(2), 2010. link

11) Jorg Rieskamp. The importance of learning when making inferences. Judgment and Decision Making, 3(3):261–277, 2008. link

12) Barry G. Silverman, Gnana Bharathy, Benjamin Nye, and Roy J. Eidelson. Modeling factions for “effects based operations”: part I - leaders and followers. Computational & Mathematical Organization Theory, 13(4):379–406, December 2007. link

13) Olivier Thebaud and Bruno Locatelli. Modelling the emergence of resource-sharing conventions: an agent-based approach. Journal of Artificial Societies and Social Simulation, 4(2), 2001. link

14) Lois Vanhee, Huib Aldewereld, and Frank Dignum. Implementing norms? Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on, 3:13–16, 2011. link

15) Wesley J. Wildman and Richard Sosis. Stability of groups with costly beliefs and practices. Journal of Artificial Societies and Social Simulation, 14(3), 2011. link

16) Lynne Hamill and Nigel Gilbert. Social Circles: A Simple Structure for Agent-Based Social Network Models. Journal of Artificial Societies and Social Simulation, 12(2), 2009. link

17) Riccardo Boero, Giangiacomo Bravo, Marco Castellani and Flaminio Squazzoni. Why Bother with What Others Tell You? An Experimental Data-Driven Agent-Based Model. Journal of Artificial Societies and Social Simulation, 13(3), 2010. link

18) Stephen Younger. Leadership in Small Societies. Journal of Artificial Societies and Social Simulation, 13(3), 2010. link

19) Minghua He and Nicholas R. Jennings. Designing a successful trading agent: A fuzzy set approach. Fuzzy Systems, IEEE Transactions on, 12(3):389-410, 2004. link