Adaptive Control of Ill-Defined Systems:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston, MA
Springer US
1984
|
| Schriftenreihe: | NATO Conference Series, II Systems Science
16 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | There are some types of complex systems that are built like clockwork, with well-defined parts that interact in well-defined ways, so that the action of the whole can be precisely analyzed and anticipated with accuracy and precision. Some systems are not themselves so well-defined, but they can be modeled in ways that are like trained pilots in well-built planes, or electrolyte balance in healthy humans. But there are many systems for which that is not true; and among them are many whose understanding and control we would value. For example, the model for the trained pilot above fails exactly where the pilot is being most human; that is, where he is exercising the highest levels of judgment, or where he is learning and adapting to new conditions. Again, sometimes the kinds of complexity do not lead to easily analyzable models at all; here we might include most economic systems, in all forms of societies. There are several factors that seem to contribute to systems being hard to model, understand, or control. The human participants may act in ways that are so variable or so rich or so interactive that the only adequate model of the system would be the entire system itself, so to speak. This is probably the case in true long term systems involving people learning and growing up in a changing society |
| Beschreibung: | 1 Online-Ressource (X, 350 p.) 32 illus |
| ISBN: | 9781468489415 9781468489439 |
| DOI: | 10.1007/978-1-4684-8941-5 |
Internformat
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| 500 | |a There are some types of complex systems that are built like clockwork, with well-defined parts that interact in well-defined ways, so that the action of the whole can be precisely analyzed and anticipated with accuracy and precision. Some systems are not themselves so well-defined, but they can be modeled in ways that are like trained pilots in well-built planes, or electrolyte balance in healthy humans. But there are many systems for which that is not true; and among them are many whose understanding and control we would value. For example, the model for the trained pilot above fails exactly where the pilot is being most human; that is, where he is exercising the highest levels of judgment, or where he is learning and adapting to new conditions. Again, sometimes the kinds of complexity do not lead to easily analyzable models at all; here we might include most economic systems, in all forms of societies. There are several factors that seem to contribute to systems being hard to model, understand, or control. The human participants may act in ways that are so variable or so rich or so interactive that the only adequate model of the system would be the entire system itself, so to speak. This is probably the case in true long term systems involving people learning and growing up in a changing society | ||
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Datensatz im Suchindex
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| author | Selfridge, Oliver G. |
| author_facet | Selfridge, Oliver G. |
| author_role | aut |
| author_sort | Selfridge, Oliver G. |
| author_variant | o g s og ogs |
| building | Verbundindex |
| bvnumber | BV042412210 |
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| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
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| dewey-sort | 15.74 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Physik Informatik |
| doi_str_mv | 10.1007/978-1-4684-8941-5 |
| format | Electronic eBook |
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| spelling | Selfridge, Oliver G. Verfasser aut Adaptive Control of Ill-Defined Systems edited by Oliver G. Selfridge, Edwina L. Rissland, Michael A. Arbib Boston, MA Springer US 1984 1 Online-Ressource (X, 350 p.) 32 illus txt rdacontent c rdamedia cr rdacarrier NATO Conference Series, II Systems Science 16 There are some types of complex systems that are built like clockwork, with well-defined parts that interact in well-defined ways, so that the action of the whole can be precisely analyzed and anticipated with accuracy and precision. Some systems are not themselves so well-defined, but they can be modeled in ways that are like trained pilots in well-built planes, or electrolyte balance in healthy humans. But there are many systems for which that is not true; and among them are many whose understanding and control we would value. For example, the model for the trained pilot above fails exactly where the pilot is being most human; that is, where he is exercising the highest levels of judgment, or where he is learning and adapting to new conditions. Again, sometimes the kinds of complexity do not lead to easily analyzable models at all; here we might include most economic systems, in all forms of societies. There are several factors that seem to contribute to systems being hard to model, understand, or control. The human participants may act in ways that are so variable or so rich or so interactive that the only adequate model of the system would be the entire system itself, so to speak. This is probably the case in true long term systems involving people learning and growing up in a changing society Computer science Information Systems Computer Science Management of Computing and Information Systems Informatik Kontrolltheorie (DE-588)4032317-1 gnd rswk-swf Komplexes System (DE-588)4114261-5 gnd rswk-swf Systemtheorie (DE-588)4058812-9 gnd rswk-swf 1\p (DE-588)1071861417 Konferenzschrift 1981 Moreton Hampstead gnd-content Kontrolltheorie (DE-588)4032317-1 s Systemtheorie (DE-588)4058812-9 s 2\p DE-604 Komplexes System (DE-588)4114261-5 s 3\p DE-604 Rissland, Edwina L. Sonstige oth Arbib, Michael A. Sonstige oth https://doi.org/10.1007/978-1-4684-8941-5 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 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Selfridge, Oliver G. Adaptive Control of Ill-Defined Systems Computer science Information Systems Computer Science Management of Computing and Information Systems Informatik Kontrolltheorie (DE-588)4032317-1 gnd Komplexes System (DE-588)4114261-5 gnd Systemtheorie (DE-588)4058812-9 gnd |
| subject_GND | (DE-588)4032317-1 (DE-588)4114261-5 (DE-588)4058812-9 (DE-588)1071861417 |
| title | Adaptive Control of Ill-Defined Systems |
| title_auth | Adaptive Control of Ill-Defined Systems |
| title_exact_search | Adaptive Control of Ill-Defined Systems |
| title_full | Adaptive Control of Ill-Defined Systems edited by Oliver G. Selfridge, Edwina L. Rissland, Michael A. Arbib |
| title_fullStr | Adaptive Control of Ill-Defined Systems edited by Oliver G. Selfridge, Edwina L. Rissland, Michael A. Arbib |
| title_full_unstemmed | Adaptive Control of Ill-Defined Systems edited by Oliver G. Selfridge, Edwina L. Rissland, Michael A. Arbib |
| title_short | Adaptive Control of Ill-Defined Systems |
| title_sort | adaptive control of ill defined systems |
| topic | Computer science Information Systems Computer Science Management of Computing and Information Systems Informatik Kontrolltheorie (DE-588)4032317-1 gnd Komplexes System (DE-588)4114261-5 gnd Systemtheorie (DE-588)4058812-9 gnd |
| topic_facet | Computer science Information Systems Computer Science Management of Computing and Information Systems Informatik Kontrolltheorie Komplexes System Systemtheorie Konferenzschrift 1981 Moreton Hampstead |
| url | https://doi.org/10.1007/978-1-4684-8941-5 |
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