Adaptivity and Learning: An Interdisciplinary Debate / Edition 1 available in Hardcover
- Pub. Date:
- Springer Berlin Heidelberg
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.
|Publisher:||Springer Berlin Heidelberg|
|Product dimensions:||6.10(w) x 9.25(h) x 0.03(d)|
Table of Contents
From the Contents: Biology and Behaviour of Adaptation and Learning.- Physics Approach to Learning - Neural Networks and Statistics.- Mathematical Models of Learning.- Learning from Experience.- Human-Like Cognition and AI Learning.