How universal can an intelligence test be?
暂无分享,去创建一个
[1] Randall D. Beer,et al. Autopoiesis and Cognition in the Game of Life , 2004, Artificial Life.
[2] O. Koehler. Vom Erlernen unbenannter Anzahlen bei Vögeln , 1941 .
[3] José Hernández-Orallo,et al. The ANYNT project intelligence test Λone , 2012 .
[4] E Donchin,et al. A metric for thought: a comparison of P300 latency and reaction time. , 1981, Science.
[5] C. Lebiere,et al. The Newell Test for a theory of cognition , 2003, Behavioral and Brain Sciences.
[6] R. Solomonoff. INDUCTIVE INFERENCE RESEARCH STATUS , SPRING 1967 , 1966 .
[7] Lotfi A. Zadeh,et al. A fuzzy-algorithmic approach to the definition of complex or imprecise concepts , 1976 .
[8] Herbert A. Simon,et al. Why a Diagram is (Sometimes) Worth Ten Thousand Words , 1987, Cogn. Sci..
[9] FORMAL DEFINITION OF ARTIFICIAL INTELLIGENCE 1 , 2006 .
[10] David L. Dowe,et al. Introduction to Ray Solomonoff 85th Memorial Conference , 2011, Algorithmic Probability and Friends.
[11] H. Eysenck. PRIMARY MENTAL ABILITIES , 1939 .
[12] Shane T. Mueller,et al. Is the Turing Test Still Relevant ? A Plan for Developing the Cognitive Decathlon to Test Intelligent Embodied Behavior , 2008 .
[13] Paul Schweizer,et al. The Truly Total Turing Test* , 1998, Minds and Machines.
[14] J. Fodor,et al. The Modularity of Mind: An Essay on Faculty Psychology , 1984 .
[15] Fred Keijzer,et al. Plants: Adaptive behavior, root-brains, and minimal cognition , 2011, Adapt. Behav..
[16] M. Tomasello,et al. Humans Have Evolved Specialized Skills of Social Cognition: The Cultural Intelligence Hypothesis , 2007, Science.
[17] José Hernández-Orallo,et al. On More Realistic Environment Distributions for Defining, Evaluating and Developing Intelligence , 2011, AGI.
[18] José Hernández-Orallo,et al. Universal psychometrics: Measuring cognitive abilities in the machine kingdom , 2014, Cognitive Systems Research.
[19] John Langford,et al. Telling humans and computers apart automatically , 2004, CACM.
[20] S. Shettleworth. Fundamentals of Comparative Cognition , 2012 .
[21] Douglas K. Detterman. A challenge to Watson , 2011 .
[22] Matt Jones,et al. The BICA Cognitive Decathlon: A Test Suite for Biologically-Inspired Cognitive Agents , 2007 .
[23] Michael C. Pyryt. Human cognitive abilities: A survey of factor analytic studies , 1998 .
[24] T. G. Evans. A program for the solution of a class of geometric-analogy intelligence-test questions , 1964 .
[25] Kent G. Bailey,et al. Potential Intelligence or Intelligence Test Potential?: A Question of Empirical Validity. , 1972 .
[26] A. Trewavas. Plant intelligence , 2005, Naturwissenschaften.
[27] Thomas G. Evans,et al. A heuristic program to solve geometric-analogy problems , 1964, AFIPS '64 (Spring).
[28] Ray J. Solomonoff,et al. Algorithmic Probability, Heuristic Programming and AGI , 2010, AGI 2010.
[29] Shane Legg,et al. Universal Intelligence: A Definition of Machine Intelligence , 2007, Minds and Machines.
[30] David L. Dowe,et al. Foreword re C. S. Wallace , 2008, Comput. J..
[31] C. S. Wallace,et al. An Information Measure for Classification , 1968, Comput. J..
[32] Bill Hibbard. Bias and No Free Lunch in Formal Measures of Intelligence , 2009, J. Artif. Gen. Intell..
[33] Pat Langley,et al. Artificial Intelligence and Cognitive Systems , 2011 .
[34] José Hernández-Orallo,et al. On the Computational Measurement of Intelligence Factors , 2011 .
[35] Timothy J. O'Donnell,et al. Evolutionary Linguistics: A New Look at an Old Landscape , 2007 .
[36] A. M. Turing,et al. Computing Machinery and Intelligence , 1950, The Philosophy of Artificial Intelligence.
[37] José Hernández-Orallo,et al. Measuring universal intelligence: Towards an anytime intelligence test , 2010, Artif. Intell..
[38] John McCarthy,et al. Ascribing Mental Qualities to Machines , 1979 .
[39] Danesh Tarapore,et al. Quantifying patterns of agent-environment interaction , 2006, Robotics Auton. Syst..
[40] Shane Legg,et al. A Universal Measure of Intelligence for Artificial Agents , 2005, IJCAI.
[41] Ed Yong. Simulated brain scores top test marks , 2012, Nature.
[42] C. Adcock,et al. Primary Mental Abilities. , 1971, The Journal of general psychology.
[43] Will Reader,et al. Evolution and Behavior , 2015 .
[44] José Hernández-Orallo,et al. On Potential Cognitive Abilities in the Machine Kingdom , 2013, Minds and Machines.
[45] G. Chaitin. Gödel's theorem and information , 1982 .
[46] C. Sagan,et al. Communication with Extraterrestrial Intelligence (CETI) , 1973 .
[47] K. Zuberbühler,et al. Interspecies semantic communication in two forest primates , 2000, Proceedings of the Royal Society of London. Series B: Biological Sciences.
[48] David Dunér,et al. Astrocognition : Prolegomena to a future cognitive history of exploration , 2011 .
[49] Paul Arnold,et al. Tactile memory of deaf-blind adults on four tasks. , 2002, Scandinavian journal of psychology.
[50] H. Mar,et al. Psychological Evaluation of Children Who Are Deaf-Blind: An Overview with Recommendations for Practice. , 1996 .
[51] Ray J. Solomonoff,et al. A Formal Theory of Inductive Inference. Part I , 1964, Inf. Control..
[52] Ray J. Solomonofi. INDUCTIVE INFERENCE RESEARCH STATUS, SPRING 1967 , 1967 .
[53] J. Fodor. The Modularity of mind. An essay on faculty psychology , 1986 .
[54] Shane T. Mueller,et al. Adapting the Turing Test for Embodied Neurocognitive Evaluation of Biologically-Inspired Cognitive Agents , 2008, AAAI Fall Symposium: Biologically Inspired Cognitive Architectures.
[55] Randall D. Beer,et al. Information Dynamics of Evolved Agents , 2010, SAB.
[56] J. Hernández-Orallo,et al. IQ tests are not for machines, yet , 2012 .
[57] S. Shettleworth. Cognition, evolution, and behavior , 1998 .
[58] José Hernández-Orallo,et al. Beyond the Turing Test , 2000, J. Log. Lang. Inf..
[59] D. Borsboom. Measuring the mind: Conceptual issues in contemporary psychometrics , 2005 .
[60] Matthew V. Mahoney,et al. Text Compression as a Test for Artificial Intelligence , 1999, AAAI/IAAI.
[61] Erik Borg,et al. A review and evaluation of research on the deaf-blind from perceptual, communicative, social and rehabilitative perspectives , 2001, Scandinavian audiology.
[62] T R THORP,et al. Predicting potential intelligence. , 1959, Journal of clinical psychology.
[63] P. Madsen,et al. Dolphin whistles: a functional misnomer revealed by heliox breathing , 2012, Biology Letters.
[64] José Hernández-Orallo,et al. Comparing Humans and AI Agents , 2011, AGI.
[65] Celeste Biever. Ultimate IQ: one test to rule them all , 2011 .
[66] Barbara C. Scholz,et al. For universals (but not finite-state learning) visit the zoo , 2009, Behavioral and Brain Sciences.
[67] McCay Vernon,et al. Psychological Evaluation and Testing of Children Who Are Deaf-Blind. , 1979 .
[68] Z. Zenn Bien,et al. Machine intelligence quotient: its measurements and applications , 2002, Fuzzy Sets Syst..
[69] S. Levinson,et al. The myth of language universals: language diversity and its importance for cognitive science. , 2009, The Behavioral and brain sciences.
[70] J. Fodor. The Modularity of mind. An essay on faculty psychology , 1986 .
[71] José Hernández-Orallo. A (hopefully) Unbiased Universal Environment Class for Measuring Intelligence of Biological and Artificial Systems , 2009, AGI 2010.
[72] David L. Dowe,et al. A computer program capable of passing I.Q. tests , 2008 .
[73] Hiroaki Kitano,et al. RoboCup: The Robot World Cup Initiative , 1997, AGENTS '97.
[74] M. Fox,et al. The 3rd International Planning Competition: Results and Analysis , 2003, J. Artif. Intell. Res..
[75] P R Sanberg,et al. "Neural capacity" in Mimosa pudica: a review. , 1976, Behavioral biology.
[76] David L. Dowe,et al. Minimum Message Length and Kolmogorov Complexity , 1999, Comput. J..
[77] H A SIMON,et al. HUMAN ACQUISITION OF CONCEPTS FOR SEQUENTIAL PATTERNS. , 1963, Psychological review.
[78] Dimiter Dobrev,et al. A Definition of Artificial Intelligence , 2012, ArXiv.
[79] Timothy Q. Gentner,et al. Recursive syntactic pattern learning by songbirds , 2006, Nature.
[80] Marvin Minsky,et al. Semantic Information Processing , 1968 .
[81] Roger T Hanlon,et al. Intense ultrasonic clicks from echolocating toothed whales do not elicit anti–predator responses or debilitate the squid Loligo pealeii , 2007, Biology Letters.
[82] Peter Grünwald,et al. Invited review of the book Statistical and Inductive Inference by Minimum Message Length , 2006 .
[83] Philip Hingston,et al. A new design for a Turing Test for Bots , 2010, Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games.
[84] Eva Jablonka,et al. Epigenetic learning in non-neural organisms , 2009, Journal of Biosciences.
[85] José Hernández-Orallo,et al. Thesis: Computational measures of information gain and reinforcement in inference processes , 2000, AI Commun..
[86] B. Jack Copeland,et al. The Turing Test* , 2000, Minds and Machines.
[87] Francisco Calvo Garzón. Nonclassical connectionism should enter the decathlon , 2003, Behavioral and Brain Sciences.
[88] Herbert A. Simon,et al. On the Forms of Mental Representation , 1978 .
[89] Peter Norvig,et al. Artificial Intelligence: A Modern Approach , 1995 .
[90] John R. Searle,et al. Minds, brains, and programs , 1980, Behavioral and Brain Sciences.
[91] Shimon Whiteson,et al. The Reinforcement Learning Competitions , 2010 .
[92] Jean-Claude Worms,et al. Humans in outer space : interdisciplinary perspectives , 2011 .
[93] Fred Keijzer,et al. Principles of Minimal Cognition: Casting Cognition as Sensorimotor Coordination , 2006, Adapt. Behav..
[94] A R MAHRER. Potential intelligence: a learning theory approach to description and clinical implication. , 1958, The Journal of general psychology.
[95] J. Raven,et al. Manual for Raven's progressive matrices and vocabulary scales , 1962 .
[96] William H. Edmondson. The intelligence in ETI—What can we know? , 2012 .
[97] José Hernández-Orallo,et al. Turing Tests with Turing Machines , 2012, Turing-100.
[98] Michael R. Genesereth,et al. General Game Playing: Overview of the AAAI Competition , 2005, AI Mag..
[99] R. Sternberg,et al. Handbook of Intelligence , 2000 .
[100] Trevor Bekolay,et al. A Large-Scale Model of the Functioning Brain , 2012, Science.
[101] James Rogers,et al. Animal Pattern-Learning Experiments: Some Mathematical Background∗ , 2006 .
[102] Mathew Iredale. Who are you calling “bird brain”? , 2006 .
[103] David L. Dowe,et al. A computational extension to the Turing test , 1997 .
[104] Charles Twardy,et al. Refining the cognitive decathlon , 2008, PerMIS.
[105] Alejandra Barrera,et al. Comparative Experimental Studies on Spatial Memory and Learning in Rats and Robots , 2011, J. Intell. Robotic Syst..
[106] H. Simon,et al. What makes some problems really hard: Explorations in the problem space of difficulty , 1990, Cognitive Psychology.
[107] George L. Chadderdon,et al. Assessing Machine Volition: An Ordinal Scale for Rating Artificial and Natural Systems , 2008, Adapt. Behav..
[108] Barbara Webb,et al. Animals Versus Animats: Or Why Not Model the Real Iguana? , 2009, Adapt. Behav..
[109] C. S. Wallace,et al. Statistical and Inductive Inference by Minimum Message Length (Information Science and Statistics) , 2005 .
[110] Ray J. Solomonoff,et al. A Formal Theory of Inductive Inference. Part II , 1964, Inf. Control..
[111] B. Bassler,et al. Interspecies communication in bacteria. , 2003, The Journal of clinical investigation.
[112] Martin Ziegler,et al. Variations of the Turing Test in the Age of Internet and Virtual Reality , 2009, KI.
[113] Dimiter Dobrev. Comparison between the two definitions of AI , 2013, ArXiv.