The ANYNT project intelligence test Λone
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José Hernández-Orallo | Sergio España | Javier Insa-Cabrera | David L. Dowe | M. Victoria Hernández-Lloreda | J. Hernández-Orallo | D. Dowe | M. V. Hernández-Lloreda | Sergio España | Javier Insa-Cabrera
[1] José Hernández-Orallo,et al. On Evaluating Agent Performance in a Fixed Period of Time (Extended Version) , 2010, AGI 2010.
[2] Ming Li,et al. An Introduction to Kolmogorov Complexity and Its Applications , 2019, Texts in Computer Science.
[3] C. S. Wallace,et al. An Information Measure for Classification , 1968, Comput. J..
[4] Peter Grünwald,et al. Invited review of the book Statistical and Inductive Inference by Minimum Message Length , 2006 .
[5] Joel Veness,et al. A Monte-Carlo AIXI Approximation , 2009, J. Artif. Intell. Res..
[6] José Hernández-Orallo. Constructive reinforcement learning , 2000, Int. J. Intell. Syst..
[7] M. Tomasello,et al. Humans Have Evolved Specialized Skills of Social Cognition: The Cultural Intelligence Hypothesis , 2007, Science.
[8] M. Tomasello,et al. The Structure of Individual Differences in the Cognitive Abilities of Children and Chimpanzees , 2010, Psychological science.
[9] C. Q. Lee,et al. The Computer Journal , 1958, Nature.
[10] José Hernández-Orallo,et al. On More Realistic Environment Distributions for Defining, Evaluating and Developing Intelligence , 2011, AGI.
[11] John Langford,et al. Telling humans and computers apart automatically , 2004, CACM.
[12] Shane Legg,et al. Universal Intelligence: A Definition of Machine Intelligence , 2007, Minds and Machines.
[13] José Hernández-Orallo,et al. Measuring universal intelligence: Towards an anytime intelligence test , 2010, Artif. Intell..
[14] Joel Veness,et al. Reinforcement Learning via AIXI Approximation , 2010, AAAI.
[15] José Hernández-Orallo,et al. Comparing Humans and AI Agents , 2011, AGI.
[16] Ray J. Solomonoff,et al. A Formal Theory of Inductive Inference. Part I , 1964, Inf. Control..
[17] Dina Q. Goldin,et al. Indirect Interaction in Environments for Multi-agent Systems , 2005, E4MAS.
[18] Shane Legg,et al. A Universal Measure of Intelligence for Artificial Agents , 2005, IJCAI.
[19] Martin Ziegler,et al. Variations of the Turing Test in the Age of Internet and Virtual Reality , 2009, KI.
[20] José Hernández-Orallo,et al. On the Computational Measurement of Intelligence Factors , 2011 .
[21] José Hernández-Orallo,et al. Evaluating a Reinforcement Learning Algorithm with a General Intelligence Test , 2011, CAEPIA.
[22] John R. Searle,et al. Minds, brains, and programs , 1980, Behavioral and Brain Sciences.
[23] José Hernández-Orallo. A (hopefully) Unbiased Universal Environment Class for Measuring Intelligence of Biological and Artificial Systems , 2009, AGI 2010.
[24] David L. Dowe,et al. A computer program capable of passing I.Q. tests , 2008 .
[25] David L. Dowe,et al. Minimum Message Length and Kolmogorov Complexity , 1999, Comput. J..
[26] Marcus Hutter,et al. Universal Artificial Intellegence - Sequential Decisions Based on Algorithmic Probability , 2005, Texts in Theoretical Computer Science. An EATCS Series.
[27] David L. Dowe,et al. A Non-Behavioural, Computational Extension to the Turing Test , 1998 .
[28] A. M. Turing,et al. Computing Machinery and Intelligence , 1950, The Philosophy of Artificial Intelligence.
[29] Itamar Arel,et al. Beyond the Turing Test , 2009, Computer.
[30] Peter Dayan,et al. Q-learning , 1992, Machine Learning.
[31] J. Hernández-Orallo,et al. IQ tests are not for machines, yet , 2012 .
[32] David L. Dowe,et al. A computational extension to the Turing test , 1997 .
[33] Marcus Hutter,et al. Universal Algorithmic Intelligence: A Mathematical Top→Down Approach , 2007, Artificial General Intelligence.
[34] D. Washburn,et al. Exploration of virtual mazes by rhesus monkeys (Macaca mulatta) , 2003, Animal Cognition.
[35] David L. Dowe,et al. Foreword re C. S. Wallace , 2008, Comput. J..