Anticipatory learning is sometimes considered synonymous with the general mechanism of learning to generate predictions or learning a predictive or forward model of an encountered environment or problem. However, the term anticipation usually does not simply refer to predictions, but rather to predictions that are expected to be relevant to an organism and that are used to effectively adapt decisions and behaviors of organisms. Therefore, anticipatory learning is not merely about learning to predict, but learning to predict those aspects that are relevant for the learning system. Such predictions may start on a very low sensorimotor level, such as learning how body movements feel in order to be able to focus on other sensory information. On a higher level, action-dependent contingencies may be learned that are highly useful for decision making ...
Anticipatory learning
Giovanni Pezzulo
2011
Abstract
Anticipatory learning is sometimes considered synonymous with the general mechanism of learning to generate predictions or learning a predictive or forward model of an encountered environment or problem. However, the term anticipation usually does not simply refer to predictions, but rather to predictions that are expected to be relevant to an organism and that are used to effectively adapt decisions and behaviors of organisms. Therefore, anticipatory learning is not merely about learning to predict, but learning to predict those aspects that are relevant for the learning system. Such predictions may start on a very low sensorimotor level, such as learning how body movements feel in order to be able to focus on other sensory information. On a higher level, action-dependent contingencies may be learned that are highly useful for decision making ...| Campo DC | Valore | Lingua |
|---|---|---|
| dc.authority.orgunit | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | - |
| dc.authority.orgunit | Istituto di Scienze e Tecnologie della Cognizione - ISTC | - |
| dc.authority.people | Martin V Butz | it |
| dc.authority.people | Giovanni Pezzulo | it |
| dc.collection.id.s | 4ee41c16-675a-4f7f-b092-4e496f29a60c | * |
| dc.collection.name | 02.04 Voce in repertorio (Bibliografia, Dizionario, Enciclopedia, Glossario, Thesaurus, altro) | * |
| dc.contributor.appartenenza | Istituto di Scienze e Tecnologie della Cognizione - ISTC | * |
| dc.contributor.appartenenza.mi | 986 | * |
| dc.date.accessioned | 2024/02/21 05:55:34 | - |
| dc.date.available | 2024/02/21 05:55:34 | - |
| dc.date.issued | 2011 | - |
| dc.description.abstracteng | Anticipatory learning is sometimes considered synonymous with the general mechanism of learning to generate predictions or learning a predictive or forward model of an encountered environment or problem. However, the term anticipation usually does not simply refer to predictions, but rather to predictions that are expected to be relevant to an organism and that are used to effectively adapt decisions and behaviors of organisms. Therefore, anticipatory learning is not merely about learning to predict, but learning to predict those aspects that are relevant for the learning system. Such predictions may start on a very low sensorimotor level, such as learning how body movements feel in order to be able to focus on other sensory information. On a higher level, action-dependent contingencies may be learned that are highly useful for decision making ... | - |
| dc.description.affiliations | University of Würzburg Department of Cognitive Psychology; CNR-ILC, Pisa | - |
| dc.description.allpeople | V Butz, Martin; Pezzulo, Giovanni | - |
| dc.description.allpeopleoriginal | Martin V. Butz; Giovanni Pezzulo | - |
| dc.description.fulltext | none | en |
| dc.description.note | ID_PUMA: cnr.ilc/2011-A1-003 | - |
| dc.description.numberofauthors | 2 | - |
| dc.identifier.isbn | 978-1-4419-1427-9 | - |
| dc.identifier.uri | https://hdl.handle.net/20.500.14243/175356 | - |
| dc.identifier.url | http://www.springerreference.com/docs/html/chapterdbid/319709.html | - |
| dc.language.iso | eng | - |
| dc.publisher.country | NLD | - |
| dc.publisher.name | Springer | - |
| dc.publisher.place | Dordrecht | - |
| dc.relation.firstpage | 263 | - |
| dc.relation.ispartofbook | Encyclopedia of the Sciences of Learning | - |
| dc.relation.lastpage | 266 | - |
| dc.relation.numberofpages | 4 | - |
| dc.subject.keywords | Curious learning | - |
| dc.subject.keywords | Ideo-motor principle of learning | - |
| dc.subject.keywords | Learning of predictions | - |
| dc.subject.keywords | Sensorimotor learning | - |
| dc.subject.singlekeyword | Curious learning | * |
| dc.subject.singlekeyword | Ideo-motor principle of learning | * |
| dc.subject.singlekeyword | Learning of predictions | * |
| dc.subject.singlekeyword | Sensorimotor learning | * |
| dc.title | Anticipatory learning | en |
| dc.type.driver | info:eu-repo/semantics/bookPart | - |
| dc.type.full | 02 Contributo in Volume::02.04 Voce in repertorio (Bibliografia, Dizionario, Enciclopedia, Glossario, Thesaurus, altro) | it |
| dc.type.miur | 271 | - |
| dc.ugov.descaux1 | 205245 | - |
| iris.orcid.lastModifiedDate | 2024/04/04 14:32:23 | * |
| iris.orcid.lastModifiedMillisecond | 1712233943811 | * |
| iris.sitodocente.maxattempts | 1 | - |
| Appare nelle tipologie: | 02.04 Voce in repertorio (Bibliografia, Dizionario, Enciclopedia, Glossario, Thesaurus, altro) | |
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