Adaptivity and Learning: An Interdisciplinary Debate
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2003
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | 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 |
| Beschreibung: | 1 Online-Ressource (XII, 403 p) |
| ISBN: | 9783662055946 9783642055102 |
| DOI: | 10.1007/978-3-662-05594-6 |
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| spelling | Kühn, Reimer Verfasser aut Adaptivity and Learning An Interdisciplinary Debate edited by Reimer Kühn, Randolf Menzel, Wolfram Menzel, Ulrich Ratsch, Michael M. Richter, Ion-Olimpiu Stamatescu Berlin, Heidelberg Springer Berlin Heidelberg 2003 1 Online-Ressource (XII, 403 p) txt rdacontent c rdamedia cr rdacarrier 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 Physics Electronic data processing Evolution (Biology) Physics, general Statistical Physics, Dynamical Systems and Complexity Control, Robotics, Mechatronics Computing Methodologies Philosophy Evolutionary Biology Datenverarbeitung Philosophie Anpassung (DE-588)4128128-7 gnd rswk-swf Lernen (DE-588)4035408-8 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Lernen (DE-588)4035408-8 s Anpassung (DE-588)4128128-7 s 2\p DE-604 Menzel, Randolf Sonstige oth Menzel, Wolfram Sonstige oth Ratsch, Ulrich Sonstige oth Richter, Michael M. Sonstige oth Stamatescu, Ion-Olimpiu Sonstige oth https://doi.org/10.1007/978-3-662-05594-6 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Kühn, Reimer Adaptivity and Learning An Interdisciplinary Debate Physics Electronic data processing Evolution (Biology) Physics, general Statistical Physics, Dynamical Systems and Complexity Control, Robotics, Mechatronics Computing Methodologies Philosophy Evolutionary Biology Datenverarbeitung Philosophie Anpassung (DE-588)4128128-7 gnd Lernen (DE-588)4035408-8 gnd |
| subject_GND | (DE-588)4128128-7 (DE-588)4035408-8 (DE-588)4143413-4 |
| title | Adaptivity and Learning An Interdisciplinary Debate |
| title_auth | Adaptivity and Learning An Interdisciplinary Debate |
| title_exact_search | Adaptivity and Learning An Interdisciplinary Debate |
| title_full | Adaptivity and Learning An Interdisciplinary Debate edited by Reimer Kühn, Randolf Menzel, Wolfram Menzel, Ulrich Ratsch, Michael M. Richter, Ion-Olimpiu Stamatescu |
| title_fullStr | Adaptivity and Learning An Interdisciplinary Debate edited by Reimer Kühn, Randolf Menzel, Wolfram Menzel, Ulrich Ratsch, Michael M. Richter, Ion-Olimpiu Stamatescu |
| title_full_unstemmed | Adaptivity and Learning An Interdisciplinary Debate edited by Reimer Kühn, Randolf Menzel, Wolfram Menzel, Ulrich Ratsch, Michael M. Richter, Ion-Olimpiu Stamatescu |
| title_short | Adaptivity and Learning |
| title_sort | adaptivity and learning an interdisciplinary debate |
| title_sub | An Interdisciplinary Debate |
| topic | Physics Electronic data processing Evolution (Biology) Physics, general Statistical Physics, Dynamical Systems and Complexity Control, Robotics, Mechatronics Computing Methodologies Philosophy Evolutionary Biology Datenverarbeitung Philosophie Anpassung (DE-588)4128128-7 gnd Lernen (DE-588)4035408-8 gnd |
| topic_facet | Physics Electronic data processing Evolution (Biology) Physics, general Statistical Physics, Dynamical Systems and Complexity Control, Robotics, Mechatronics Computing Methodologies Philosophy Evolutionary Biology Datenverarbeitung Philosophie Anpassung Lernen Aufsatzsammlung |
| url | https://doi.org/10.1007/978-3-662-05594-6 |
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