Individual differences |
Methods | Statistics | Clinical | Educational | Industrial | Professional items | World psychology |
The Complexity of Cooperation, by Robert Axelrod, 0691015678 is the sequel to The Evolution of Cooperation. It is a compendium of seven articles that previously appeared in journals on a variety of subjects. The book extends Axelrod's method of applying the results of game theory, in particular that derived from analysis of the Prisoner's Dilemma (IPD) problem, to real world situations.
Prisoner's Dilemma findings[edit | edit source]
Axelrod explains the Tit for tat (TFT or T4T) strategy emerged as the most robust option in early IPD tournaments on computer. This strategy combines a willingness to cooperate with a determination to punish non-cooperation. In these articles, however, he shows, that under more complex circumstances, such as the possibility of error, strategies that are a little more cooperative or a little less punitive do even better than TFT. Generous TFT, or GTFT, cooperates a bit more often than TFT, while Contrite TFT or CTFT defects less frequently.
Applications[edit | edit source]
Axelrod applied various models related to IPD to a variety of situations, drawing conclusions from these simulations about the ways in which groups form, adhere, oppose or join other groups, and other topics in the fields of genetic evolution, business, political science, military alliances, wars, and more. He has added introductions to these articles explaining what real-world issues drove his research.
Critical response[edit | edit source]
Philosopher and political economist Francis Fukuyama, writing for the Foreign Affairs, praises the book for showing that realist models, which assume that in situations lacking a single sovereign actor that anarchy will necessarily result, are too simplistic. Fukuyuma, expresses concern, however, that the game theory approaches aren't sufficiently complex to model real international relations, because they a world with large numbers of simple actors. Fukuyama holds that, instead, the real world consists of a small number of highly complex actors, thus potentially limiting the applicability of Axelrod's analysis.
References[edit | edit source]
|This page uses Creative Commons Licensed content from Wikipedia (view authors).|