Part 1 Statistical expert systems: DEXPERT - an expert system for the design of experiments, T.J. Lorenzen, et al inside two commercially available statistical expert systems, J.F.M. Raes expert system for simulation modelling and sectoral forecasting, M. Ollivier, et al an architecture for knowledge based statistical support systems, A. Prat, et al enhancing explanation capabilities of statistical expert systems through hypertext, P. Hietala measurement scales as metadata, D.J. Hand. Part 2 Belief networks: on the design of belief networks for knowledge-based systems, B. Abramson lack-of-information based control in expert systems, R. Almond adaptive importance sampling for Bayesian networks applied to filtering problems, A.R. Runnalls intelligent arc addition, belief propagation and utilization of parallel processors by probabilistic inference engines, A. Ranjbar and M. McLeish a new method for representing and solving Bayesian decision problems, P.P. Shenoy. Part 3 Learning: inferring causal structure in mixed populations, C. Glymour, et al a knowledge acquisition inductive system guided by empirical interpretation of derived results, K. Tsujino and S. Nishida incorporating statistical techniques into empirical symbolic learning systems, F. Esposito, et al learning classification trees, W. Buntine an analysis of two probabilistic model induction techniques, S.L. Crawford and M. Fung. Part 4 Neural networks: a robust back propagation algorithm for function approximation, D.S. Chen and R.C. Jain maximum likelihood training of neural networks, H. Gish a connectionist knowledge acquisition tool - CONDKAT, A. Ultsch, et al connectionist, rule-based and Bayesian decision aids - an empirical comparison, S. Schwartz, et al. Part 5 Text manipulation: statistical approaches to aligning sentences and identifying word correspondences in parallel texts - a report on work in progress, W.A. Gale and K.W. Church probabilistic text understanding, R.P. Goldman and E. Charniak the application of machine learning techniques in subject classification, I. Kavanagh et al. Part 6 Other areas: a statistical semantics for causation, J. Pearl and T.S. Verma admissible stochastic complexity models for classification problems, P. Smyth combining the probability judgements of experts - statistical and artificial intelligence approaches, L.A. Cox randomness and independence in nonmonotonic reasoning, E. Neufeld consistent regions in probabilistic logic when using different norms, D. Bouchaffra a decision theoretic approach to controlling the cost of planning, L. Hartman.