Two new books co-authored by Kevin B. Korb, which may compliment his presentation at the Singularity Summit AU 2010:
1) Bayesian Artificial Intelligence, 2nd edition
2) Evolving Ethics
Bayesian Artificial Intelligence 2nd Edition
Praise for the First Edition
… this excellent book would also serve well for final year undergraduate courses in mathematics or statistics and is a solid first reference text for researchers wanting to implement Bayesian belief network (BBN) solutions for practical problems. … beautifully presented, nicely written, and made accessible. Mathematical ideas, some quite deep, are presented within the flow but do not get in the way. This has the advantage that students can see and interpret the mathematics in the practical context, whereas practitioners can acquire, to personal taste, the mathematical seasoning. If you are interested in applying BBN methods to real-life problems, this book is a good place to start…
—Journal of the Royal Statistical Society, Series A, Vol. 157(3)
Updated and expanded, Bayesian Artificial Intelligence, Second Edition provides a practical and accessible introduction to the main concepts, foundation, and applications of Bayesian networks. It focuses on both the causal discovery of networks and Bayesian inference procedures. Adopting a causal interpretation of Bayesian networks, the authors discuss the use of Bayesian networks for causal modeling. They also draw on their own applied research to illustrate various applications of the technology.
New to the Second Edition
- New chapter on Bayesian network classifiers
- New section on object-oriented Bayesian networks
- New section that addresses foundational problems with causal discovery and Markov blanket discovery
- New section that covers methods of evaluating causal discovery programs
- Discussions of many common modeling errors
- New applications and case studies
- More coverage on the uses of causal interventions to understand and reason with causal Bayesian networks
Illustrated with real case studies, the second edition of this bestseller continues to cover the groundwork of Bayesian networks. It presents the elements of Bayesian network technology, automated causal discovery, and learning probabilities from data and shows how to employ these technologies to develop probabilistic expert systems.
The book’s website at www.csse.monash.edu.au/bai/book/book.html offers a variety of supplemental materials, including example Bayesian networks and data sets. Instructors can email the authors for sample solutions to many of the problems in the text.
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. 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.
About the Authors
Dr Steven Mascaro is a researcher in computer simulation and Artificial Life. Dr Kevin Korb is a Reader in the Clayton School of Information Technology, Monash University. Dr Ann Nicholson is an Associate Professor in the Clayton School of Information Technology, Monash University. Owen Woodberry is a researcher in the Clayton School of Information Technology, Monash University.