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dc.contributor.author | Hernández Orallo, José | es_ES |
dc.contributor.editor | Springer | es_ES |
dc.date.accessioned | 2016-06-28T12:53:45Z | |
dc.date.available | 2016-06-28T12:53:45Z | |
dc.date.issued | 2015 | |
dc.identifier.isbn | 978-3-319-21365-1 | |
dc.identifier.issn | 978-3-319-21364-4 | |
dc.identifier.issn | 0302-9743 | |
dc.identifier.uri | http://hdl.handle.net/10251/66686 | |
dc.description.abstract | We establish a setting for asynchronous stochastic tasks that account for episodes, rewards and responses, and, most especially, the computational complexity of the algorithm behind an agent solving a task. This is used to determine the difficulty of a task as the (logarithm of the) number of computational steps required to acquire an acceptable policy for the task, which includes the exploration of policies and their verification. We also analyse instance difficulty, task compositions and decompositions. | es_ES |
dc.description.sponsorship | This work has been partially supported by the EU (FEDER) and the Spanish MINECO under grants TIN 2010-21062-C02-02, PCIN-2013-037 and TIN 2013-45732-C4-1-P, and by Generalitat Valenciana PROMETEOII 2015/013. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Springer International Publishing | es_ES |
dc.relation.ispartof | Artificial General Intelligence | es_ES |
dc.relation.ispartofseries | Lecture Notes in Computer Science;9205 | |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Task difficulty | es_ES |
dc.subject | Task breadth | es_ES |
dc.subject | Levin's search | es_ES |
dc.subject | Universal psychometrics | es_ES |
dc.subject.classification | LENGUAJES Y SISTEMAS INFORMATICOS | es_ES |
dc.title | Stochastic tasks: difficulty and Levin search | es_ES |
dc.type | Capítulo de libro | es_ES |
dc.type | Comunicación en congreso | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//TIN2010-21062-C02-02/ES/SWEETLOGICS-UPV/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//PCIN-2013-037/ES/RETHINKING THE ESSENCE, FLEXIBILITY AND REUSABILITY OF ADVANCED MODEL EXPLOITATION/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//TIN2013-45732-C4-1-P/ES/UNA APROXIMACION DECLARATIVA AL MODELADO, ANALISIS Y RESOLUCION DE PROBLEMAS/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GVA//PROMETEOII%2F2015%2F013/ES/SmartLogic: Logic Technologies for Software Security and Performance/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació | es_ES |
dc.description.bibliographicCitation | Hernández Orallo, J. (2015). Stochastic tasks: difficulty and Levin search. En Artificial General Intelligence. Springer International Publishing. 90-100. http://hdl.handle.net/10251/66686 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.conferencename | Eighth Conference on Artificial General Intelligence (AGI-15) | es_ES |
dc.relation.conferencedate | 2015-07-22 | es_ES |
dc.relation.conferenceplace | Berlin, Germany | es_ES |
dc.relation.publisherversion | http://link.springer.com/10.1007/978-3-319-21365-1_10 | es_ES |
dc.description.upvformatpinicio | 90 | es_ES |
dc.description.upvformatpfin | 100 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.relation.senia | 302741 | es_ES |
dc.contributor.funder | European Regional Development Fund | es_ES |
dc.contributor.funder | Ministerio de Economía y Competitividad | es_ES |
dc.contributor.funder | Generalitat Valenciana | es_ES |
dc.contributor.funder | Ministerio de Ciencia e Innovación | es_ES |