Contact Us

For Marketing, Sales and Subscriptions Inquiries
Rockefeller Center, 45 Rockefeller Plaza
20th Flr Unit #5, New York, NY 10111
United States

Conference List

Games Review

June 2015, Volume 1, 1, pp 1-10

Emergent Behavior of “Rational” Agents in Some Forgotten N-Person Games

Miklos N Szilagyi

Miklos N Szilagyi 1

  1. Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, USA 1

on Google Scholar
on PubMed

Pages: 1-10

DOI: 10.18488/journal.100/2015.1.1/

Share :


This paper investigates N-person games with linear payoff functions, which are defined by four parameters each for the case when some of these parameters are equal to each other. Such cases represent transitions between different games. The participating agents are all greedy simpletons who imitate the behavior of the neighbor in their Moore neighborhood - nine neighbors, including themselves - that received the highest reward in the previous iteration. The results show that the solutions are non-trivial and represent quite irregular emergent behavior when the payoff functions are equal or cross each other.
Contribution/ Originality
The paper contributes the first logical analysis of borderline N-person games.




  1. Lloyd, A.L., 1995. Computing bouts of the prisoner’s Dilemma. Scientific American, 272(6): 110-115.
  2. Nowak, M.A. and R.M. May, 1992. Evolutionary games and spatial chaos. Nature, 359: 826-829.
  3. Szilagyi, M.N., 2012. Investigation of N-person games by agent-based modeling. Complex Systems, 21: 201-243.
  4. Szilagyi, M.N. and I. Somogyi, 2008. Agent-based simulation of N-person games with crossing payoff functions. Complex Systems, 17: 427-439.
  5. Szilagyi, M.N. and Z.C. Szilagyi, 2000. A tool for simulated social experiments. Simulation, 74(1): 4-10.
  6. Wolfram, S., 1994. Cellular automata and complexity: Collected papers. Reading, MA: Addison-Wesley.
  7. Zhao, J., F. Szidarovszky and M.N. Szilagyi, 2007. Finite neighborhood binary games: A structural study. Journal of Artificial Societies and Social Simulation.  [Accessed 10/3/3].


Google Scholor ideas Microsoft Academic Search bing Google Scholor


Competing Interests:


Related Article