Adaptivity and Learning: An Interdisciplinary Debate - Rilegato

Kuhn, R.; Menzel, R.; Menzel, W.; Ratsch, U.; Richter, M. M.

 
9783540000914: Adaptivity and Learning: An Interdisciplinary Debate

Sinossi

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.

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Dalla quarta di copertina

 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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Altre edizioni note dello stesso titolo

9783642055102: Adaptivity and Learning: An Interdisciplinary Debate

Edizione in evidenza

ISBN 10:  3642055109 ISBN 13:  9783642055102
Casa editrice: Springer, 2010
Brossura