Title Adaptivity and Learning : An Interdisciplinary Debate Author(s) K??hn, Reimer;Menzel, Randolf;Menzel, Wolfram;Ratsch, Ulrich;Richter, Michael M;Stamatescu, Ion-Olimpiu Publication Berlin, Heidelberg, Springer Berlin Heidelberg, 2003. Description XII, 403 p : online resource Abstract Note Adaptivity and learning have in recent decades become a common concern of scientific disciplines. These issues have arisen in mathematics, physics, biology, informatics, economics, and other fields more or less simultaneously. The aim of this publication is the interdisciplinary discourse on the phenomenon of learning and adaptivity. Different perspectives are presented and compared to find fruitful concepts for the disciplines involved. The authors select problems showing representative traits concerning the frame up, the methods and the achievements rather than to present extended overviews. To foster interdisciplinary dialogue, this book presents diverse perspectives from various scientific fields, including: - The biological perspective: e.g., physiology, behaviour; - The mathematical perspective: e.g., algorithmic and stochastic learning; - The physics perspective: e.g., learning for artificial neural networks; - The "learning by experience" perspective: reinforcement learning, social learning, artificial life; - The cognitive perspective: e.g., deductive/inductive procedures, learning and language learning as a high level cognitive process; - The application perspective: e.g., robotics, control, knowledge engineering ISBN,Price 9783662055946 Keyword(s) 1. ARTIFICIAL INTELLIGENCE 2. COMPLEX SYSTEMS 3. Control engineering 4. Control, Robotics, Mechatronics 5. DYNAMICAL SYSTEMS 6. EBOOK 7. EBOOK - SPRINGER 8. Evolutionary Biology 9. Mechatronics 10. PHILOSOPHY 11. Philosophy, general 12. PHYSICS 13. Physics, general 14. ROBOTICS 15. STATISTICAL PHYSICS Item Type eBook Multi-Media Links Please Click here for eBook Circulation Data Accession#   Call# Status Issued To Return Due On Physical Location I11247     On Shelf