Self-segregation versus clustering in the evolutionary minority game

Shahar Hod, Ehud Nakar

Research output: Contribution to journalArticlepeer-review


The evolution of complex adaptive systems with an arbitrary value of the prize-to-fine ratio R was described. The study of the system was done by studying a realistic model of the minority game (MG) and its evolutionary version (EMG). The results showed that the self-segregation is a generic characteristic of an evolving population of competing agents. Also, it was found that for small values of the prize-to-fine ratio the efficiency of the system was well below the efficiency achieved by random agents.

Original languageEnglish
Article number238702
Pages (from-to)2387021-2387024
Number of pages4
JournalPhysical Review Letters
Issue number23
StatePublished - 10 Jun 2002
Externally publishedYes


Dive into the research topics of 'Self-segregation versus clustering in the evolutionary minority game'. Together they form a unique fingerprint.

Cite this