Symbolic computation and teaching -- Analytica — An experiment in combining theorem proving and symbolic computation -- Document recognition, semantics, and symbolic reasoning in reverse engineering of software -- Compromised updates in labelled databases -- An inference engine for propositional two-valued logic based on the radical membership problem -- Programming by demonstration: A machine learning approach to support skill acquision for robots -- Knowledge-based information processing in manufacturing cells — The present and the future -- Calculi for qualitative spatial reasoning -- Combining local consistency, symbolic rewriting and interval methods -- Proof transformation for non-compatible rewriting -- PATCH Graphs: An efficient data structure for completion of finitely presented groups -- Measuring the likely effectiveness of strategies -- A new approach on solving 3-satisfiability -- Geometry machines: From AI to SMC -- Interactive Theorem Proving and finite projective planes -- Towards modelling the topology of homogeneous manifolds by means of symbolic computation -- Solving geometrical constraint systems using CLP based on linear constraint solver -- Towards a sheaf semantics for cooperating agents scenarios -- Data types in subdefinite models -- On theorem-proving in Horn theories with built-in algebras -- Backward reasoning in systems with cut -- Soundness and completeness versus lifting property -- Reasoning with preorders and dynamic sorts using free variable tableaux.

This book constitutes the refereed proceedings of the Third International Conference on Artificial Intelligence and Symbolic Mathematical Computation, AISMC-3, held in Steyr, Austria, in September 1996. The 19 revised full papers presented in the book were carefully selected by the program committee; also included are four invited survey and state-of-the-art contributions by Scott, Dillmann and Friedrich, Cohn, and Wang. Among the topics addressed are theorem proving, rewriting systems, symbolic computation, spatial reasoning, computational geometry, and automated deduction.