TEODORESCU, H.-N., Mlynek, D., Kandel, A., Zimmermann, H.-J. (Eds.)
2000, XXXI, 452 p.
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The field of "intelligent interfaces and systems" has seen a fast growth last decade. An impressive number of papers, conference tutorials, and volumes were devoted to the topic. Ten years ago, intelligent systems constituted a rather exotic topic and many were skeptic that such systems amount to more than a nice name. Nowadays, intelligent systems represent a powerful tool in many applications, in all industrial fields. Their development evolved on both the horizontal dimension, with a constantly increasing number of applications, and on the vertical dimension, by including more capabilities going from sensoric to neurofuzzy systems, intelligent agents, speech and image understanding, and decision making in complex environments. The domain constituted by the intelligent systems is now too large to be covered in a single volume. Consequently, the Editors considered a balance between several selected sub-fields, to insure the unity of the volume, yet allowing a large enough horizon and a consistent understanding of the entire field, including real-life applications. The volume represents a comprehensive coverage of the field, including fundamental aspects, software-, sensors-, and hardware-related issues. Moreover, the contributors to this volume offer, beyond a systematic overview of intelligent interfaces and systems, deep, practical knowledge in building and using intelligent systems in various applications. A special emphasis is on specific aspects and requirements in applications. In addition, the second Editor proposes two chapters addressing the management of projects dealing with intelligent systems.
Preface. Acknowledgments. About the Editors. Contributors. Part 1: Intelligent Agents and Bio-Inspired Systems. 1. A tutoring based approach to the development of intelligent agents; G. Tecuci, et al. 2. An object-oriented framework for building collaborative network agents; L. Boloni, D.C. Marinescu. 3. Animals versus robotic autonomous agents; J.E.R. Staddon, I.M. Chelaru. 4. From configurable circuits to bio-inspired systems; M. Sipper, et al. Part 2: Intelligent Data Processing. 5. Fuzzy data mining; A. Kandel, A. Klein. 6. Feature-oriented hybrid neural adaptive systems and applications; H.-N. Teodorescu, C. Bonciu. 7. Algebraic neuro-fuzzy systems and applications; H.-N. Teodorescu, D. Arotaritei. Part 3: Interfaces. 8. Neuro-fuzzy approach to natural language understanding and processing. Part I: Neuro-fuzzy device; E. Ferri, G. Langholz. 9. Neuro-fuzzy approach to natural language understanding and processing. Part II: Neuro-fuzzy learning algorithms; E. Ferri, G. Langholz. 10. Graph matching and similarity; H. Bunke, Xiaoyi Jiang. Part 4: Applications and High-tech Management. 11. Diagnosis systems and strategies: principles, fuzzy and neural approaches; P.M. Frank, T. Marcu. 12. Intelligent non-destructive testing and evaluation with industrial applications; C. Morabito. 13. Managing high-tech projects. Part I; D. Mlynek, P. Mali. 14. Managing high-tech projects. Part II; D. Mlynek, P. Mali. Index of Terms.