Characterizing diagnoses -- An interval propagation and conflict recognition engine for diagnosing continuous dynamic systems -- A new diagnosis approach by deduction and abduction -- Diagnoses as coherent assumption sets -- Sidia: Extending prediction based diagnosis to dynamic models -- Hypothesis classification, abductive diagnosis and therapy -- A generic measurement proposer -- A circumscribed diagnosis engine -- Discrepancies — Theories and applications of model-based diagnosis -- Planning in polynomial time -- Interaction-based invention: Designing novel devices from first principles -- Constraint propagation issues in automated design -- Integrating inductive learning and simulation in rule-based scheduling -- CRONOS-III: Requirements for a knowledge-based scheduling tool covering a broad class of production environments -- Resolution-based reasoning for fuzzy logic -- Match-time predictability in real-time production systems -- Constructing decision trees from examples and their explanation-based generalizations -- Dynamic constraint satisfaction in a bridge design system -- Application of model-based diagnosis to machine tools -- Adaptive rule-based optimisation of combustion in multiple burner installations -- Expert system application in the VA STAHL Linz GmbH -- Expert system development for intelligent monitoring of blast furnace operations -- Scheduling in a steelmaking plant -- Total production control system of BF?MILL with expert system in NKK -- Ai — Knowledge based systems at BHP CPD -- Scheduling of melts in a LD-steel plant.

The goal of the International Workshop on Expert Systems in Engineering is to stimulate the flow of information between researchers working on theoretical and applied research topics in this area. It puts special emphasis on new technologies relevant to industrial engineering expert systems, such as model-based diagnosis, qualitative reasoning, planning, and design, and to the conditions in which they operate, in real time, with database support. The workshop is especially relevant for engineering environments like CIM (computer integrated manufacturing) and process automation.