Knowledge Based Hybrid Systems: Proceedings of the IFIP TC5/WG5.3/IFAC International Working Conference on Knowledge Based Hybrid Systems in Engineering and Manufacturing, KNOWSHEM(v. B-11 IFIP Transactions B: Computer Applications in Technology S.)

Knowledge based systems have emerged as an efficient solution for complex problems in many areas, including manufacturing and engineering. There are various situations, however, where neither symbolic procedures nor algorithmic routines can alone provide the answer. A balanced mixture of causal and heuristic processing modules offers a more efficient and comprehensive approach in complex cases. The different architecture types using the combination of these techniques are known as knowledge based hybrid systems (KBHS). This volume presents a comprehensive discussion of the results achieved using knowledge based hybrid systems (KBHS). The papers, both practical and theoretical, are divided into seven major sections, each covering a separate topic: hybrid systems for CIM applications; knowledge based product design; coupling learning with other paradigms; problems of manufacturing automation; hybrid systems in scheduling; knowledge based simulation; and hybrid techniques in monitoring and maintenance.

Table of Contents:
Part 1 Keynote papers: hard problems of soft knowledge, T. Vamos; methodologies and applications of knowledge-based hybrid systems, A. Lehmann; concurrent engineering - models and solution approaches, A. Kusiak. Part 2 Hybrid systems for CIM application: hybrid programming paradigms in CIM-CASE, L.M. Camarinha-Matos et al; model based user interface constructor for CIM, Z. Kouba et al. Part 3 Knowledge based product design: computer support in the (re)design of mechanical products, O.W. Salomons et al; concurrent engineering with the PRODES system, I. Horvath et al. Part 4 Coupling learning with other paradigms: exploiting domain knowledge, neural networks and genetic algorithms to harvest traffic simulation results, M. Foy and C. Uhrik. Part 5 Problems of manufacturing automation: graph theoretic-based decision support for facilities layout, L.R. Foulds; management of flexible capacity, J.E. Lenz. Part 6 Hybrid systems in scheduling: animated AI-based simulation in production scheduling, O.Yu. Gusikhin and A.S. Kulinich. Part 7 Knowledge based simulation: control automation of a multioperational section for the flexible manufacturing of highly diversified products, G.M. Acaccia et al; composing simulations by expert rules - modeling plasma sprayed films, G. Jacucci et al. Part 8 Hybrid techniques in monitoring and maintenance: failure recovery of flexible production systems through cooperation of distributed agents, E.D. Adamides and D. Bonvin; monitoring of the milling process through neural network and fuzzy techniques, S. Markos et al. Part 9 Mini-symposia (demonstrations, discussions) hybrid tools for CIM system development. Part 10 Hybrid systems for product design. Part 11 Layout design. Part 12 Management of production systems. (Part Contents).