Self-organized complexity and Coherent Infomax from the viewpoint of Jaynes’s probability theory
- This paper discusses concepts of self-organized complexity and the theory of Coherent Infomax in the light of Jaynes’s probability theory. Coherent Infomax, shows, in principle, how adaptively self-organized complexity can be preserved and improved by using probabilistic inference that is context-sensitive. It argues that neural systems do this by combining local reliability with flexible, holistic, context-sensitivity. Jaynes argued that the logic of probabilistic inference shows it to be based upon Bayesian and Maximum Entropy methods or special cases of them. He presented his probability theory as the logic of science; here it is considered as the logic of life. It is concluded that the theory of Coherent Infomax specifies a general objective for probabilistic inference, and that contextual interactions in neural systems perform functions required of the scientist within Jaynes’s theory.
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| Verfasserangaben: | William A. Phillips |
|---|---|
| URN: | urn:nbn:de:hebis:30:3-253122 |
| DOI: | https://doi.org/10.3390/info3010001 |
| ISSN: | 2078-2489 |
| Titel des übergeordneten Werkes (Englisch): | Information |
| Verlag: | Molecular Diversity Preservation International (MDPI) |
| Verlagsort: | Basel |
| Dokumentart: | Wissenschaftlicher Artikel |
| Sprache: | Englisch |
| Datum der Veröffentlichung (online): | 27.06.2012 |
| Datum der Erstveröffentlichung: | 04.01.2012 |
| Veröffentlichende Institution: | Universitätsbibliothek Johann Christian Senckenberg |
| Datum der Freischaltung: | 27.06.2012 |
| Freies Schlagwort / Tag: | Coherent Infomax; Jaynes; complexity; context-sensitivity; coordination; information; neural computation; probabilistic inference; probability theory; self-organization |
| Jahrgang: | 3.2012 |
| Ausgabe / Heft: | 1 |
| Seitenzahl: | 15 |
| Erste Seite: | 1 |
| Letzte Seite: | 15 |
| HeBIS-PPN: | 357590635 |
| Institute: | Wissenschaftliche Zentren und koordinierte Programme / Frankfurt Institute for Advanced Studies (FIAS) |
| DDC-Klassifikation: | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
| Sammlungen: | Universitätspublikationen |
| Lizenz (Deutsch): |  Creative Commons - Namensnennung 3.0 |
