Evolutionary Game Theory and Cooperation

Emergence of Scaling in Random Networks

Systems as diverse as genetic networks or the World Wide Web are best described as networks with complex topology. A common property of many large networks is that the vertex connectivities follow a scale-free power-law distribution. This feature was found to be a consequence of two generic mechanisms: (i) networks expand continuously by the addition of new vertices, and (ii) new vertices attach preferentially to sites that are already well connected. A model based on these two ingredients reproduces the observed stationary scale-free distributions, which indicates that the development of large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems.

Contrasting Computational Models of Mate Preference Integration Across 45 Countries

Humans express a wide array of ideal mate preferences. Around the world, people desire romantic partners who are intelligent, healthy, kind, physically attractive, wealthy, and more. In order for these ideal preferences to guide the choice of actual romantic partners, human mating psychology must possess a means to integrate information across these many preference dimensions into summaries of the overall mate value of their potential mates. Here we explore the computational design of this mate preference integration process using a large sample of n = 14,487 people from 45 countries around the world. We combine this large cross-cultural sample with agent-based models to compare eight hypothesized models of human mating markets. Across cultures, people higher in mate value appear to experience greater power of choice on the mating market in that they set higher ideal standards, better fulfill their preferences in choice, and pair with higher mate value partners. Furthermore, we find that this cross-culturally universal pattern of mate choice is most consistent with a Euclidean model of mate preference integration.

The Biology of Moral Systems

First published in 1987, this book discusses the life and natural history of moral systems as seen through the eyes of a biologist. The volume offers a comprehensive introspective of the biology of a moral system by examining the evolutionary approach from perspectives of sociobiology and ideology. Morality in relation to conflicts and confluences of interest among humankind are further evaluated, with particular emphasis on the human psyche and the ontogeny of moral behaviour. Philosophical meets biological with insightful commentary on the morality of law and democracy. The book concludes with an epilogue, bibliography and name and subject index. It is clear, concise and contemporary and would be of use to those studying Biology, Philsophy and many other social sciences.

Statistical physics of human cooperation