Mostrar el registro sencillo del ítem
dc.contributor.author | Besold, Tarek | es_ES |
dc.contributor.author | Hernández Orallo, José | es_ES |
dc.contributor.author | Schmid, Ute | es_ES |
dc.date.accessioned | 2016-06-03T07:23:32Z | |
dc.date.available | 2016-06-03T07:23:32Z | |
dc.date.issued | 2015-08 | |
dc.identifier.issn | 0933-1875 | |
dc.identifier.uri | http://hdl.handle.net/10251/65155 | |
dc.description | The final publication is available at Springer via http://dx.doi.org/10.1007/s13218-015-0361-4 | es_ES |
dc.description.abstract | In recent years the number of research projects on computer programs solving human intelligence problems in artificial intelligence (AI), artificial general intelligence, as well as in Cognitive Modelling, has significantly grown. One reason could be the interest of such problems as benchmarks for AI algorithms. Another, more fundamental, motivation behind this area of research might be the (implicit) assumption that a computer program that successfully can solve human intelligence problems has human-level intelligence and vice versa. This paper analyses this assumption. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Springer Verlag (Germany) | es_ES |
dc.relation.ispartof | KI - Künstliche Intelligenz | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Intelligence tests | es_ES |
dc.subject | Strong AI | es_ES |
dc.subject | Psychometric AI | es_ES |
dc.subject | Cognitive modelling | es_ES |
dc.subject.classification | LENGUAJES Y SISTEMAS INFORMATICOS | es_ES |
dc.title | Can Machine Intelligence be Measured in the Same Way as Human intelligence? | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1007/s13218-015-0361-4 | |
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 | Besold, T.; Hernández Orallo, J.; Schmid, U. (2015). Can Machine Intelligence be Measured in the Same Way as Human intelligence?. KI - Künstliche Intelligenz. 29:291-297. doi:10.1007/s13218-015-0361-4 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://link.springer.com/article/10.1007%2Fs13218-015-0361-4 | |
dc.description.upvformatpinicio | 291 | es_ES |
dc.description.upvformatpfin | 297 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 29 | es_ES |
dc.relation.senia | 302740 | es_ES |
dc.description.references | Amthauer R, Brocke B, Liepmann D, Beauducel A (1999) Intelligenz-Struktur-Test 2000 (I-S-T 2000). Hogrefe, Göttingen | es_ES |
dc.description.references | Bartholomew DJ (2004) Measuring intelligence: facts and fallacies. Cambridge University Press, Cambridge | es_ES |
dc.description.references | Besold TR (2013a) Human-level artificial intelligence must be a science. In: Kühnberger K-U, Rudolph S, Wang P (eds) Artificial general intelligence, vol 7999 LNCS. Springer, Berlin, pp 174–177 | es_ES |
dc.description.references | Besold TR (2013b) Turing revisited: a cognitively-inspired decomposition. In: Müller VC (ed) Philosophy and theory of artificial intelligence, SAPERE 5. Springer, Berlin, pp 121–132 | es_ES |
dc.description.references | Besold TR (2014) A note on chances and limitations of psychometric AI. In KI 2014: Advances in artificial intelligence. Springer, Berlin, pp 49–54 | es_ES |
dc.description.references | Bors DA, Vigneau F (2001) The effect of practice on raven’s advanced progressive matrices. Learn Individ Differ 13(4):291–312 | es_ES |
dc.description.references | Bringsjord S (2011) Psychometric artificial intelligence. J Exp Theor Artif Intell 23(3):271–277 | es_ES |
dc.description.references | Bringsjord S, Schimanski B (2003) What is artificial intelligence? Psychometric AI as an answer. In: Proceedings of the 18th international joint conference on artificial intelligence (IJCAI’03), Morgan Kaufmann, pp 887–893 | es_ES |
dc.description.references | Burghardt J (2005) E-generalization using grammars. Artif Intell 165:1–35 | es_ES |
dc.description.references | Cooper R, Fox J, Farringdon J, Shallice T (1996) A systematic methodology for cognitive modelling. Artif Intell 83:3–44 | es_ES |
dc.description.references | Deary IJ, Der G, Ford G (2001) Reaction times and intelligence differences: a population-based cohort study. Intelligence 29(5):389–399 | es_ES |
dc.description.references | Detterman D (2011) A challenge to Watson. Intelligence 39(2–3):77–78 | es_ES |
dc.description.references | Dowe DL, Hernández-Orallo J (2012) IQ tests are not for machines, yet. Intelligence 40(2):77–81 | es_ES |
dc.description.references | Harnad S (1990) The symbol grounding problem. Physica D 42:335–346 | es_ES |
dc.description.references | Hernández-Orallo J (2000) Beyond the Turing test. J Log Lang Inf 9(4):447–466 | es_ES |
dc.description.references | Hernández-Orallo J, Dowe DL, Hernández-Lloreda MV (2014) Universal psychometrics: measuring cognitive abilities in the machine kingdom. Cogn Syst Res 27:50–74 | es_ES |
dc.description.references | Hofmann J, Kitzelmann E, Schmid U (2014) Applying inductive program synthesis to induction of number series a case study with IGOR2. In KI 2014: Advances in artificial intelligence, Springer, Berlin, pp 25–36 | es_ES |
dc.description.references | Johnson-Laird PN (1988) The computer and the mind: an introduction to cognitive science. Fontana Press, London | es_ES |
dc.description.references | Kühnberger KU, Hitzler P (2009) Facets of artificial general intelligence. KI 23(2):58–59 | es_ES |
dc.description.references | Legg S, Hutter M (2007) Universal intelligence: a definition of machine intelligence. Minds Mach 17(4):391–444 | es_ES |
dc.description.references | Lovett A, Forbus K, Usher J (2010) A structure-mapping model of Raven’s Progressive Matrices. In: Proceedings of CogSci-10, pp 2761–2766 | es_ES |
dc.description.references | Miller M (1999) The savant syndrome: intellectual impairment and exceptional skill. Psychol Bull 125(1):31–46 | es_ES |
dc.description.references | Mueller ST, Jones M, Minnery BS, Hiland JMH (2007) The BICA cognitive decathlon: a test suite for biologically-inspired cognitive agents. In: Proceedings of behavior representation in modeling and simulation conference, Norfolk | es_ES |
dc.description.references | Newell A (1980) Physical symbol systems. Cogn Sci 4:135–183 | es_ES |
dc.description.references | Newell A (1982) The knowledge level. Artif Intell 18:87–127 | es_ES |
dc.description.references | Pylyshyn Z (1980) Computation and cognition: issues in the foundation of cognitive science. Behav Brain Sci 3:111–132 | es_ES |
dc.description.references | Sanghi P, Dowe DL (2003) A computer program capable of passing I.Q. tests. In: Slezak PP (ed) Proceedings of ICCS/ASCS-2003, Sydney, AU, pp 570–575 | es_ES |
dc.description.references | Siebers M, Schmid U (2012) Semi-analytic natural number series induction. In KI 2012: Advances in artificial intelligence, Springer, Berlin, pp 249–252 | es_ES |
dc.description.references | Spearman C (1904) General intelligence objectively determined and measured. Am J Psychol 15:201293 | es_ES |
dc.description.references | Sternberg RJ (ed) (2000) Handbook of intelligence. Cambridge University Press, Cambridge | es_ES |
dc.description.references | Strannegård C, Amirghasemi M, Ulfsbäcker S (2013a) An anthropomorphic method for number sequence problems. Cogn Syst Res 22–23:27–34 | es_ES |
dc.description.references | Strannegård C, Cirillo S, Ström V (2013b) An anthropomorphic method for progressive matrix problems. Cogn Syst Res 22–23:35–46 | es_ES |
dc.description.references | Turing AM (1950) Computing machinery and intelligence. Mind 59:433–460 | es_ES |
dc.description.references | Turing AM (1969) Intelligent machinery. In: Meltzer B, Michie D (eds) Machine intelligence, vol 5. Edinburgh University Press, Edinburgh, pp 3–23 | es_ES |
dc.description.references | Von Ahn L, Blum M, Hopper NJ, Langford J (2003) CAPTCHA: using hard AI problems for security. In: Advances in cryptology—EUROCRYPT 2003, Springer, pp 294–311 | es_ES |
dc.description.references | Wechsler D (1944) The measurement of adult intelligence. Williams & Wilkins, Baltimore | es_ES |