DocumentCode
2415635
Title
Update rules, reciprocity and weak selection in evolutionary spatial games
Author
Greenwood, Garrison W. ; Avery, Phillipa
Author_Institution
Dept. of Electr. & Comput. Eng., Portland State Univ., Portland, OR, USA
fYear
2012
fDate
11-14 Sept. 2012
Firstpage
9
Lastpage
16
Abstract
Cooperation in nature is a complex topic and its study has left scientists with many open questions. Over the past two decades research has been undertaken into how cooperation works in an evolutionary context and how we can emulate it for social analysis. Numerous computer models have been developed and analyzed, with many models formulated as spatial or network games. These games use various update rules to evolve cooperative strategies. Despite two decades of effort, arguably little progress has been made. This paper exposes some of the problems with these spatial and network games and shows why they are ill-suited to get any real answers. Recommendations on future research directions that might provide some insight are presented.
Keywords
computer games; social sciences computing; computer models; cooperative strategies; evolutionary spatial games; network games; social analysis; Computational modeling; Computers; Games; Humans; Mathematical model; Sociology; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Games (CIG), 2012 IEEE Conference on
Conference_Location
Granada
Print_ISBN
978-1-4673-1193-9
Electronic_ISBN
978-1-4673-1192-2
Type
conf
DOI
10.1109/CIG.2012.6374132
Filename
6374132
Link To Document