This book describes the application of Artificial Life simulation to evolutionary scenarios of wide ethical interest, including the evolution of altruism, rape and abortion, providing a new meaning to experimental philosophy. The authors also apply evolutionary ALife techniques to explore contentious issues within evolutionary theory itself, such as the evolution of sex. They justify these uses of simulation in science and philosophy, both in general and in their specific applications here.

Programming Bayesian Network Solutions with Netica provides a gentle but comprehensive introduction to programming Bayesian networks in Java with the Netica API. The book assumes minimal programming experience and a basic understanding of Bayesian networks and is thus suitable for most people interested in learning how to create Bayesian network-based software, all the way from small task-specific scripts up to large scale projects. For further enquiries, visit: bayesian-intelligence.com/programming-bns/.