Rolf Haenni & Jan-Willem Romeijn 
Probabilistic Logics and Probabilistic Networks [PDF ebook] 

Preface.- Part I: Probabilistic Logics.- 1. Introduction.- 2. Standard Probabilistic Semantics.- 3. Probabilistic Argumentation.- 4. Evidential Probability.- 5. Statistical Inference.- 6. Bayesian Statistical Inference.- 7. Objective Bayesian Epistemology.- Part II: Probabilistic Networks.- 8. Credal and Bayesian Networks.- 9. Networks for the Standard Semantics.- 10. Networks for Probabilistic Argumentation.- 11. Networks for Evidential Probability.- 12. Networks for Statistical Inference.- 13. Networks for Bayesian Statistical Inference.- 14. Networks for Objective Bayesianism.- 15. Conclusion.- References.- Index.

Rolf Haenni is professor at the Department of Engineering and Information Technology of the University of Applied Sciences of Berne (BFH-TI) in Biel, Switzerland. He holds a Ph D degree in Computer Science from the University of Fribourg, for which he received the prize for the best thesis in 1996. Jan-Willem Romeijn is an assistant professor at the Philosophy Faculty of the University of Groningen. He obtained degrees cum laude in both physics and philosophy, worked as a financial mathematician and received his doctorate cum laude from the University of Groningen in 2005. Gregory Wheeler is Senior Research Scientist at the Centre for Artificial Intelligence at the New University of Lisbon. He received a joint Ph D in Philosophy and Computer Science from the University of Rochester in 2002. Jon Williamson is Professor of Reasoning, Inference and Scientific Method at the University of Kent. He completed his Ph D in Philosophy in 1998 and in 2007 was Times Higher Education UK Young Researcher of the Year.