dc.contributor.author | Capdepuy, P. | |
dc.contributor.author | Polani, D. | |
dc.contributor.author | Nehaniv, C.L. | |
dc.date.accessioned | 2009-10-12T10:04:28Z | |
dc.date.available | 2009-10-12T10:04:28Z | |
dc.date.issued | 2007 | |
dc.identifier.citation | Capdepuy , P , Polani , D & Nehaniv , C L 2007 , ' Construction of an Internal Predictive Model by Event Anticipation ' , Lecture Notes in Computer Science (LNCS) including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics , vol. 4520 , pp. 218-232 . https://doi.org/10.1007/978-3-540-74262-3 | |
dc.identifier.issn | 0302-9743 | |
dc.identifier.other | PURE: 94312 | |
dc.identifier.other | PURE UUID: 52847f9f-c096-4c66-9baf-a8ce3fd8680b | |
dc.identifier.other | dspace: 2299/3941 | |
dc.identifier.other | Scopus: 38149029055 | |
dc.identifier.other | ORCID: /0000-0002-3233-5847/work/86098128 | |
dc.identifier.uri | http://hdl.handle.net/2299/3941 | |
dc.description | “The original publication is available at www.springerlink.com”. Copyright Springer. DOI: 10.1007/978-3-540-74262-3_12 [Full text of this article is not available in the UHRA] | |
dc.description.abstract | We introduce information-theoretic tools that can be used in an autonomous agent for constructing an internal predictive model based on event anticipation. This model relies on two different kinds of predictive relationships: time-delay relationships, where two events are related by a nearly constant time-delay between their occurrences; and contingency relationships, where proximity in time is the main property. We propose an anticipation architecture based on these tools that allows the construction of a relevant internal model of the environment through experience. Its design takes into account the problem of handling different time scales. We illustrate the effectiveness of the tools proposed with preliminary results about their ability to identify relevant relationships in different conditions. We describe how these principles can be embedded in a more complex architecture that allows action-decision making according to reward expectation, and handling of more complex relationships. We conclude by discussing issues that were not addressed yet and some axis for future investigations. | en |
dc.language.iso | eng | |
dc.relation.ispartof | Lecture Notes in Computer Science (LNCS) including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics | |
dc.title | Construction of an Internal Predictive Model by Event Anticipation | en |
dc.contributor.institution | School of Computer Science | |
dc.contributor.institution | Science & Technology Research Institute | |
dc.contributor.institution | Centre for Computer Science and Informatics Research | |
dc.contributor.institution | Adaptive Systems | |
dc.contributor.institution | Department of Computer Science | |
dc.contributor.institution | School of Physics, Engineering & Computer Science | |
dc.contributor.institution | Centre for Future Societies Research | |
dc.description.status | Peer reviewed | |
rioxxterms.versionofrecord | https://doi.org/10.1007/978-3-540-74262-3 | |
rioxxterms.type | Journal Article/Review | |
herts.preservation.rarelyaccessed | true | |