The Calculus of Selfishness
- Karl Sigmund
Why would two drivers caught in a snowdrift both shovel snow to clear a route, rather than wait for one to do it? Or, given $10 to split with someone however you like provided they accept your offer, why are you more likely to give them $5 than $1? You could keep $9, knowing that your ultimatum is better for them than the $0 you would both get if they refuse. Why does it pay to be fair?
Understanding the evolution of cooperation is one of this century's foremost scientific challenges. It is also an exercise in game theory, the mathematical modelling of strategic interaction. Since 2000, several international meetings and multi-authored volumes have focused on the problem, and some consensus has emerged. Animals, especially humans, are far more cooperative than game theory has predicted. However, existing models exclude important factors, such as group dynamics and emotions, which are capable of sustaining commitments. We need a new kind of game theory to capture, among other things, variation in psychological traits, cultural forces and network structure.
Animals, especially humans, are far more cooperative than game theory has predicted.
Nevertheless, Karl Sigmund opts to “neglect” these three factors in The Calculus of Selfishness. It is a book about the old kind of game theory. Sigmund focuses on “simple models of social dilemmas”, such as the 'snowdrift' and 'ultimatum' games mentioned above. In exploring “reciprocity between self-interested individuals”, he adopts a broad interpretation that includes third parties as potential donors or recipients of help. He demonstrates how concern for one's own reputation can help preserve norms of community or fairness, such as the fair split that is usually observed in ultimatum experiments. If I know that you reject unfair ultimata, then I will hesitate to propose one.
With collaborators from Vienna, Sigmund has pioneered the development of evolutionary game dynamics. This thought-provoking book is a distillation of his many influential contributions to the field. It is a showcase of clever models and elegant mathematics, replete with sometimes counterintuitive insights. For example, the option to abstain from a joint effort when it seems unpromising can help to enforce cooperation based on sanctioning; and a selfish urge to exploit others, whenever one can get away with it, can boost the welfare of all by ensuring a supply of retaliators.
Sigmund's expansive introduction contains no equations. But a full appreciation of the remaining chapters demands significantly more than “a modicum of elementary mathematics”. Nonetheless, the book will appeal to practitioners of behavioural or experimental economics, whose work suffuses the models; and to those who seek an up-to-date assessment of how much progress the old kind of game theory has already achieved towards understanding cooperation.
The new kind of game theory, if it takes hold, will view strategically interacting populations as complex adaptive systems, and will rely increasingly on computer simulations. It will account for group, coalition and alliance formation across multiple scales of space, time and connectivity. It will also allow for personality to influence role and strategy — in alliance-formation games, for example, the expected benefit of joining a group may be constrained by the perceived harmony of the resulting personality mix. Yet the new kind of game theory will never quite supplant the old, which when artfully used, as throughout Sigmund's book, affords insights that are hard to come by any other way.
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Mesterton-Gibbons, M. Why fairness pays. Nature 464, 1280 (2010). https://doi.org/10.1038/4641280a
Wireless Personal Communications (2011)