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It is clear that the best solution for both of them is cooperation. On the other hand, each individual is also tempted to maximize his own individual benefit. And each of them benefits most if he decides to defect, which in turn brings the worst possible outcome for both (six years total). So one-shot Prisonner's Dilemma rarely leads to cooperation. Now, what if the very two chaps are later arrested again? Will they cooperate when given another chance? Or if they know they will face the same situation every five years? Professor Axelrod tested the iterated Prisonner's Dilemma with computer programs, and investigated under which circumstances cooperation can emerge.
The book is nicely scattered with fragments of game theory and examples from world politics. All in all, as Richard Dawkins has commented in the foreword to its British edition, in breathes with optimism, and is a delight to read. Still, it has one problem, and actually shares it with Dawkins: the book reaches its climax right at the beginning. The book starts with a strong and very convincing idea, but later fails to keep the same pace of dynamic. The idea is splendid, but the structure of the book could be enhanced.
From first principles, and using ingenious empirical techniques, the author extrapolates from a simple so-called 'prisoner's dilemma' (would you betray a friend to save your neck?) right out to some extremely persuasive and general lessons on the conduct of potentially adversarial relationships.
The conclusions he draws are both powerful in their application, and refreshingly humane in what they imply for optimal behaviour in stable societies.
I'd rate this above even Kuhn's 'structure of scientific revolutions' as a piece of nominally scientific writing that has widespread relevance beyond the field for which it was intended.
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