Kasabov | Future Directions for Intelligent Systems and Information Sc | Buch | 978-3-7908-1276-3 | sack.de

Buch, Englisch, Band 45, 412 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1700 g

Reihe: Studies in Fuzziness and Soft Computing

Kasabov

Future Directions for Intelligent Systems and Information Sc

Buch, Englisch, Band 45, 412 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1700 g

Reihe: Studies in Fuzziness and Soft Computing

ISBN: 978-3-7908-1276-3
Verlag: Physica Verlag


This edited volume comprises invited chapters that cover five areas of the current and the future development of intelligent systems and information sciences. Half of the chapters were presented as invited talks at the Workshop "Future Directions for Intelligent Systems and Information Sciences" held in Dunedin, New Zealand, 22-23 November 1999 after the International Conference on Neuro-Information Processing (lCONIPI ANZIISI ANNES '99) held in Perth, Australia. In order to make this volume useful for researchers and academics in the broad area of information sciences I invited prominent researchers to submit materials and present their view about future paradigms, future trends and directions. Part I contains chapters on adaptive, evolving, learning systems. These are systems that learn in a life-long, on-line mode and in a changing environment. The first chapter, written by the editor, presents briefly the paradigm of Evolving Connectionist Systems (ECOS) and some of their applications. The chapter by Sung-Bae Cho presents the paradigms of artificial life and evolutionary programming in the context of several applications (mobile robots, adaptive agents of the WWW). The following three chapters written by R.Duro, J.Santos and J.A.Becerra (chapter 3), GCoghill. (chapter 4), Y.Maeda (chapter 5) introduce new techniques for building adaptive, learning robots.
Kasabov Future Directions for Intelligent Systems and Information Sc jetzt bestellen!

Zielgruppe


Research


Autoren/Hrsg.


Weitere Infos & Material


I: Adaptive, evolving, learning systems.- 1. ECOS — Evolving Connectionist Systems — a new/old paradigm for on-line learning and knowledge engineering.- 2. Artificial life technology for adaptive information processing.- 3. Evolving ANN controllers for smart mobile robots.- 4. A simulation environment for the manipulation of naturally variable objects.- 5. Behavior-decision fuzzy algorithm for autonomous mobile robot.- 6. Modelling the emergence of speech and language through evolving connectionist systems.- II: Intelligent human computer interaction and scientific visualisation.- 7. Discovering the visual signature of painters.- 8. Multimodal interactions with agents in virtual worlds.- 9. Virtual BioBots.- III: New connectionist computational paradigms: Brainlike computing and quantum neural networks.- 10. Future directions for neural networks and intelligent systems from the brain imaging research.- 11. Quantum neural networks.- 12. Suprathreshold stochastic resonance in a neuronal network model: a possible strategy for sensory coding.- IV: Bioinformatics.- 13. Information science and bioinformatics.- 14. Neural network system for promoter recognition.- V: Knowledge representation, knowledge processing, knowledge discovery, and some applications.- 15. Granular computing: An introduction.- 16. A new paradigm shift from computation on numbers to computation on words on an example of linguistic database summarization.- 17. Hybrid intelligent decision support systems and applications for risk analysis and discovery of evolving economic clusters in Europe.- 18. Intelligent resource management through the constrained resource planning model.- 19. Evaluative studies of fuzzy knowledge discovery through NF systems.


Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.