Anticipatory Learning Classifier Systems:
Anticipatory Learning Classifier Systems describes the state of the art of anticipatory learning classifier systems-adaptive rule learning systems that autonomously build anticipatory environmental models. An anticipatory model specifies all possible action-effects in an environment with respect to...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer US
2002
|
| Ausgabe: | 1st ed. 2002 |
| Schriftenreihe: | Genetic Algorithms and Evolutionary Computation
4 |
| Schlagworte: | |
| Online-Zugang: | UBY01 URL des Eerstveröffentlichers |
| Zusammenfassung: | Anticipatory Learning Classifier Systems describes the state of the art of anticipatory learning classifier systems-adaptive rule learning systems that autonomously build anticipatory environmental models. An anticipatory model specifies all possible action-effects in an environment with respect to given situations. It can be used to simulate anticipatory adaptive behavior. Anticipatory Learning Classifier Systems highlights how anticipations influence cognitive systems and illustrates the use of anticipations for (1) faster reactivity, (2) adaptive behavior beyond reinforcement learning, (3) attentional mechanisms, (4) simulation of other agents and (5) the implementation of a motivational module. The book focuses on a particular evolutionary model learning mechanism, a combination of a directed specializing mechanism and a genetic generalizing mechanism. Experiments show that anticipatory adaptive behavior can be simulated by exploiting the evolving anticipatory model for even faster model learning, planning applications, and adaptive behavior beyond reinforcement learning. Anticipatory Learning Classifier Systems gives a detailed algorithmic description as well as a program documentation of a C++ implementation of the system |
| Beschreibung: | 1 Online-Ressource (XXVIII, 172 p) |
| ISBN: | 9781461508915 |
| DOI: | 10.1007/978-1-4615-0891-5 |
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Datensatz im Suchindex
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| dewey-full | 006.3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3 |
| dewey-search | 006.3 |
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| discipline | Informatik |
| discipline_str_mv | Informatik |
| doi_str_mv | 10.1007/978-1-4615-0891-5 |
| edition | 1st ed. 2002 |
| format | Electronic eBook |
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| id | DE-604.BV047063958 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:12:21Z |
| indexdate | 2024-07-10T09:01:33Z |
| institution | BVB |
| isbn | 9781461508915 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032471070 |
| oclc_num | 1227483772 |
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| owner_facet | DE-706 |
| physical | 1 Online-Ressource (XXVIII, 172 p) |
| psigel | ZDB-2-SCS ZDB-2-SCS_2000/2004 ZDB-2-SCS ZDB-2-SCS_2000/2004 |
| publishDate | 2002 |
| publishDateSearch | 2002 |
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| publisher | Springer US |
| record_format | marc |
| series2 | Genetic Algorithms and Evolutionary Computation |
| spelling | Butz, Martin V. Verfasser aut Anticipatory Learning Classifier Systems by Martin V. Butz 1st ed. 2002 New York, NY Springer US 2002 1 Online-Ressource (XXVIII, 172 p) txt rdacontent c rdamedia cr rdacarrier Genetic Algorithms and Evolutionary Computation 4 Anticipatory Learning Classifier Systems describes the state of the art of anticipatory learning classifier systems-adaptive rule learning systems that autonomously build anticipatory environmental models. An anticipatory model specifies all possible action-effects in an environment with respect to given situations. It can be used to simulate anticipatory adaptive behavior. Anticipatory Learning Classifier Systems highlights how anticipations influence cognitive systems and illustrates the use of anticipations for (1) faster reactivity, (2) adaptive behavior beyond reinforcement learning, (3) attentional mechanisms, (4) simulation of other agents and (5) the implementation of a motivational module. The book focuses on a particular evolutionary model learning mechanism, a combination of a directed specializing mechanism and a genetic generalizing mechanism. Experiments show that anticipatory adaptive behavior can be simulated by exploiting the evolving anticipatory model for even faster model learning, planning applications, and adaptive behavior beyond reinforcement learning. Anticipatory Learning Classifier Systems gives a detailed algorithmic description as well as a program documentation of a C++ implementation of the system Artificial Intelligence Theory of Computation Artificial intelligence Computers Erscheint auch als Druck-Ausgabe 9780792376309 Erscheint auch als Druck-Ausgabe 9781461508922 Erscheint auch als Druck-Ausgabe 9781461352907 https://doi.org/10.1007/978-1-4615-0891-5 Verlag URL des Eerstveröffentlichers Volltext |
| spellingShingle | Butz, Martin V. Anticipatory Learning Classifier Systems Artificial Intelligence Theory of Computation Artificial intelligence Computers |
| title | Anticipatory Learning Classifier Systems |
| title_auth | Anticipatory Learning Classifier Systems |
| title_exact_search | Anticipatory Learning Classifier Systems |
| title_exact_search_txtP | Anticipatory Learning Classifier Systems |
| title_full | Anticipatory Learning Classifier Systems by Martin V. Butz |
| title_fullStr | Anticipatory Learning Classifier Systems by Martin V. Butz |
| title_full_unstemmed | Anticipatory Learning Classifier Systems by Martin V. Butz |
| title_short | Anticipatory Learning Classifier Systems |
| title_sort | anticipatory learning classifier systems |
| topic | Artificial Intelligence Theory of Computation Artificial intelligence Computers |
| topic_facet | Artificial Intelligence Theory of Computation Artificial intelligence Computers |
| url | https://doi.org/10.1007/978-1-4615-0891-5 |
| work_keys_str_mv | AT butzmartinv anticipatorylearningclassifiersystems |