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 aging. They justify these uses of simulation in science and philosophy, both in general and in their specific applications here. Evolving Ethics will be of interest to researchers, enthusiasts, students and interested lay readers in the fields of Artificial Life, philosophy of science, ethics, agent- and individual-based modeling in ecology and the social sciences, computer simulation, evolutionary biology, evolutionary psychology and the social sciences.
This social history of WWI explores the wartime sacrifices and contributions made by the people of this charming, historic English town. The town of Bridgnorth, located along the Severn River in Shropshire, is a popular tourist destination known for its historic castle and unique funicular rail system. Though it is steeped in military history, much of its role during the Great War has remained obscure until now. Misled by government propaganda, many of Bridgnorth’s men enlisted in the military for what they thought would be a short-term adventure. Their commitment and fortitude in the face of bloody trench warfare gives testament to the incredible bravery of the people of Bridgnorth, and their losses are evidenced in the various commemorative monuments erected throughout the town and surrounding hamlets. Utilizing contemporary documents and wartime servicemen's poignant letters, some of which are disclosed here for the first time, Bridgnorth in the Great War reveals how this once prosperous and industrious West Midlands' town endured great sacrifice in the name of Britain’s war effort.
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/.
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