INTRODUCTION

Abstract

This chapter describes the central claims of the book. From a philosophical point of view, the book argues for an objective Bayesian interpretation of probability and an epistemic interpretation of causality, and claims that these offer a firm foundation for causal modelling. From the computational point of view, the book investigates the relationship between Bayesian nets and maximum entropy methods, and develops a general computational framework for probabilistic and causal reasoning.