On Potential Cognitive Abilities in the Machine Kingdom
暂无分享,去创建一个
[1] Laurent Orseau,et al. Self-Modification and Mortality in Artificial Agents , 2011, AGI.
[2] Richard S. Sutton,et al. Introduction to Reinforcement Learning , 1998 .
[3] R. Solomonoff. INDUCTIVE INFERENCE RESEARCH STATUS , SPRING 1967 , 1966 .
[4] L. Levin,et al. THE COMPLEXITY OF FINITE OBJECTS AND THE DEVELOPMENT OF THE CONCEPTS OF INFORMATION AND RANDOMNESS BY MEANS OF THE THEORY OF ALGORITHMS , 1970 .
[5] Matthew V. Mahoney,et al. Text Compression as a Test for Artificial Intelligence , 1999, AAAI/IAAI.
[6] A. M. Turing,et al. Computing Machinery and Intelligence , 1950, The Philosophy of Artificial Intelligence.
[7] Laurent Orseau,et al. Delusion, Survival, and Intelligent Agents , 2011, AGI.
[8] T R THORP,et al. Predicting potential intelligence. , 1959, Journal of clinical psychology.
[9] J. Hernández-Orallo,et al. IQ tests are not for machines, yet , 2012 .
[10] Shane Legg,et al. An Approximation of the Universal Intelligence Measure , 2011, Algorithmic Probability and Friends.
[11] David L. Dowe,et al. Foreword re C. S. Wallace , 2008, Comput. J..
[12] R. Cattell,et al. Refinement and test of the theory of fluid and crystallized general intelligences. , 1966, Journal of educational psychology.
[13] David L. Dowe,et al. Minimum Message Length and Kolmogorov Complexity , 1999, Comput. J..
[14] M. Tomasello,et al. The Structure of Individual Differences in the Cognitive Abilities of Children and Chimpanzees , 2010, Psychological science.
[15] George Barmpalias,et al. Universality probability of a prefix-free machine , 2012, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[16] C. S. Wallace,et al. An Information Measure for Classification , 1968, Comput. J..
[17] Ray J. Solomonoff,et al. A Formal Theory of Inductive Inference. Part I , 1964, Inf. Control..
[18] Ray J. Solomonofi. INDUCTIVE INFERENCE RESEARCH STATUS, SPRING 1967 , 1967 .
[19] Samson Abramsky,et al. The foundations of computation, physics and mentality: the Turing legacy , 2012, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[20] Ray J. Solomonoff,et al. Complexity-based induction systems: Comparisons and convergence theorems , 1978, IEEE Trans. Inf. Theory.
[21] Ming Li,et al. An Introduction to Kolmogorov Complexity and Its Applications , 2019, Texts in Computer Science.
[22] Peter Grünwald,et al. Invited review of the book Statistical and Inductive Inference by Minimum Message Length , 2006 .
[23] Michael Kearns,et al. Near-Optimal Reinforcement Learning in Polynomial Time , 2002, Machine Learning.
[24] David L. Dowe,et al. A computational extension to the Turing test , 1997 .
[25] A R MAHRER. Potential intelligence: a learning theory approach to description and clinical implication. , 1958, The Journal of general psychology.
[26] Joel Veness,et al. A Monte-Carlo AIXI Approximation , 2009, J. Artif. Intell. Res..
[27] Gregory J. Chaitin,et al. A recent technical report , 1974, SIGA.
[28] Master Gardener,et al. Mathematical games: the fantastic combinations of john conway's new solitaire game "life , 1970 .
[29] B. Jack Copeland,et al. The Turing Test* , 2000, Minds and Machines.
[30] David L. Dowe,et al. Refinements of MDL and MML Coding , 1999, Comput. J..
[31] José Hernández-Orallo,et al. Measuring Cognitive Abilities of Machines , Humans and Non-Human Animals in a Unified Way : towards Universal Psychometrics , 2012 .
[32] C. S. Wallace,et al. Statistical and Inductive Inference by Minimum Message Length (Information Science and Statistics) , 2005 .
[33] Ray J. Solomonoff,et al. A Formal Theory of Inductive Inference. Part II , 1964, Inf. Control..
[34] C. Allen,et al. Stanford Encyclopedia of Philosophy , 2011 .
[35] Shane Legg,et al. Universal Intelligence: A Definition of Machine Intelligence , 2007, Minds and Machines.
[36] José Hernández-Orallo,et al. Measuring universal intelligence: Towards an anytime intelligence test , 2010, Artif. Intell..
[37] Jonathan Schaeffer,et al. Checkers Is Solved , 2007, Science.
[38] David L. Dowe,et al. MML, hybrid Bayesian network graphical models, statistical consistency, invarianc , 2010 .
[39] José Hernández-Orallo,et al. On the Computational Measurement of Intelligence Factors , 2011 .
[40] A. M. Turing,et al. Computing Machinery and Intelligence , 1950, The Philosophy of Artificial Intelligence.
[41] José Hernández-Orallo,et al. Comparing Humans and AI Agents , 2011, AGI.
[42] M. Tomasello,et al. Humans Have Evolved Specialized Skills of Social Cognition: The Cultural Intelligence Hypothesis , 2007, Science.
[43] José Hernández-Orallo,et al. On More Realistic Environment Distributions for Defining, Evaluating and Developing Intelligence , 2011, AGI.
[44] Ben Goertzel,et al. AGI Preschool: A Framework for Evaluating Early-Stage Human-like AGIs , 2009 .
[45] Marcus Hutter,et al. Universal Artificial Intellegence - Sequential Decisions Based on Algorithmic Probability , 2005, Texts in Theoretical Computer Science. An EATCS Series.
[46] A. Kolmogorov. Three approaches to the quantitative definition of information , 1968 .
[47] Itamar Arel,et al. Beyond the Turing Test , 2009, Computer.
[48] Gregory J. Chaitin,et al. On the Length of Programs for Computing Finite Binary Sequences , 1966, JACM.
[49] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[50] S. Legg,et al. Machine super intelligence , 2008 .
[51] Kent G. Bailey,et al. Potential Intelligence or Intelligence Test Potential?: A Question of Empirical Validity. , 1972 .
[52] C. Gallistel,et al. The learning curve: implications of a quantitative analysis. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[53] C. Q. Lee,et al. The Computer Journal , 1958, Nature.
[54] José Hernández-Orallo,et al. A Formal Definition of Intelligence Based on an Intensional Variant of Algorithmic Complexity , 2003 .
[55] José Hernández-Orallo,et al. On Evaluating Agent Performance in a Fixed Period of Time (Extended Version) , 2010, AGI 2010.
[56] Andrew G. Barto,et al. Reinforcement learning , 1998 .
[57] C. E. M. JOAD,et al. Aristotle's Metaphysics. , 1925, Nature.
[58] José Hernández-Orallo,et al. Evaluating a Reinforcement Learning Algorithm with a General Intelligence Test , 2011, CAEPIA.
[59] José Hernández-Orallo,et al. Turing Tests with Turing Machines , 2012, Turing-100.
[60] David L. Dowe,et al. A Non-Behavioural, Computational Extension to the Turing Test , 1998 .
[61] R. J. Solomon Off,et al. The time scale of artificial intelligence: Reflections on social effects , 1985 .
[62] Shun-ichi Amari,et al. Four Types of Learning Curves , 1992, Neural Computation.