A Rational Analysis of Rule-Based Concept Learning
暂无分享,去创建一个
Thomas L. Griffiths | Joshua B. Tenenbaum | Noah D. Goodman | Jacob Feldman | J. Tenenbaum | T. Griffiths | J. Feldman
[1] E. Cassirer,et al. Language and Myth , 1947 .
[2] E. Cassirer,et al. Language and Myth , 1948 .
[3] N. Metropolis,et al. Equation of State Calculations by Fast Computing Machines , 1953, Resonance.
[4] N. Goodman. Fact, Fiction, and Forecast , 1955 .
[5] William M. Smith,et al. A Study of Thinking , 1956 .
[6] L. Wittgenstein. Philosophical investigations = Philosophische Untersuchungen , 1958 .
[7] R. Duncan Luce,et al. Individual Choice Behavior , 1959 .
[8] R. Shepard,et al. Learning and memorization of classifications. , 1961 .
[9] R. Shepard,et al. Stimulus generalization in the learning of classifications. , 1963, Journal of experimental psychology.
[10] M. Posner,et al. On the genesis of abstract ideas. , 1968, Journal of experimental psychology.
[11] Stephen K. Reed,et al. Pattern recognition and categorization , 1972 .
[12] Herbert B. Enderton,et al. A mathematical introduction to logic , 1972 .
[13] Douglas L. Medin,et al. Context theory of classification learning. , 1978 .
[14] Edward E. Smith,et al. On the adequacy of prototype theory as a theory of concepts , 1981, Cognition.
[15] G. Miller,et al. Cognitive science. , 1981, Science.
[16] D. Medin,et al. Linear separability in classification learning. , 1981 .
[17] E. Rosch,et al. Categorization of Natural Objects , 1981 .
[18] Edward E. Smith,et al. Categories and concepts , 1984 .
[19] Mark W. Altom,et al. Correlated symptoms and simulated medical classification. , 1982, Journal of experimental psychology. Learning, memory, and cognition.
[20] Sharon Lee Armstrong,et al. What some concepts might not be , 1983, Cognition.
[21] R. Duncan Luce,et al. Response Times: Their Role in Inferring Elementary Mental Organization , 1986 .
[22] R. Nosofsky. Attention, similarity, and the identification-categorization relationship. , 1986, Journal of experimental psychology. General.
[23] R. Shepard,et al. Toward a universal law of generalization for psychological science. , 1987, Science.
[24] D. Medin,et al. Family resemblance, conceptual cohesiveness, and category construction , 1987, Cognitive Psychology.
[25] D M Ennis,et al. Toward a universal law of generalization. , 1988, Science.
[26] G. Lakoff,et al. Women, Fire, and Dangerous Things: What Categories Reveal about the Mind , 1988 .
[27] R. Nosofsky. Further tests of an exemplar-similarity approach to relating identification and categorization , 1989, Perception & psychophysics.
[28] G. Lakoff. Women, fire, and dangerous things : what categories reveal about the mind , 1989 .
[29] R. Nosofsky,et al. Rules and exemplars in categorization, identification, and recognition. , 1989, Journal of experimental psychology. Learning, memory, and cognition.
[30] R. Jakobson. On Language , 1990 .
[31] John R. Anderson,et al. The Adaptive Nature of Human Categorization. , 1991 .
[32] J. Kruschke,et al. ALCOVE: an exemplar-based connectionist model of category learning. , 1992, Psychological review.
[33] W T Maddox,et al. Comparing decision bound and exemplar models of categorization , 1993, Perception & psychophysics.
[34] John K. Kruschke,et al. Human Category Learning: Implications for Backpropagation Models , 1993 .
[35] John R. Anderson,et al. The Adaptive Character of Thought , 1990 .
[36] R. Nosofsky,et al. Rule-plus-exception model of classification learning. , 1994, Psychological review.
[37] Peter Norvig,et al. Artificial Intelligence: A Modern Approach , 1995 .
[38] David B. Dunson,et al. Bayesian Data Analysis , 2010 .
[39] Robert L. Goldstone. Isolated and interrelated concepts , 1996, Memory & cognition.
[40] R. Nosofsky,et al. Learning to classify integral-dimension stimuli , 1996, Psychonomic bulletin & review.
[41] S. Sloman. The empirical case for two systems of reasoning. , 1996 .
[42] P. Schyns,et al. Categorization creates functional features , 1997 .
[43] N. Chater,et al. An introduction to rational models of cognition , 1998 .
[44] Joshua B. Tenenbaum,et al. Bayesian Modeling of Human Concept Learning , 1998, NIPS.
[45] S. Sloman,et al. Similarity as an explanatory construct , 1998, Cognition.
[46] J. Fodor,et al. Concepts: Where Cognitive Science Went Wrong , 1998 .
[47] R. Nosofsky,et al. A rule-plus-exception model for classifying objects in continuous-dimension spaces , 1998 .
[48] Steven A. Sloman,et al. Feature Centrality and Conceptual Coherence , 1998, Cogn. Sci..
[49] J. Kruschke,et al. Rules and exemplars in category learning. , 1998, Journal of experimental psychology. General.
[50] Robert L. Goldstone,et al. The development of features in object concepts , 1998, Behavioral and Brain Sciences.
[51] J. D. Smith,et al. Prototypes in the Mist: The Early Epochs of Category Learning , 1998 .
[52] N. Chater,et al. Ten years of the rational analysis of cognition , 1999, Trends in Cognitive Sciences.
[53] Joshua B. Tenenbaum,et al. Rules and Similarity in Concept Learning , 1999, NIPS.
[54] S. Pinker. How the Mind Works , 1999, Annals of the New York Academy of Sciences.
[55] Peter Sollich,et al. Advances in neural information processing systems 11 , 1999 .
[56] J. Tenenbaum. A Bayesian framework for concept learning , 1999 .
[57] R. Ratcliff,et al. Connectionist and diffusion models of reaction time. , 1999, Psychological review.
[58] Jacob Feldman,et al. Minimization of Boolean complexity in human concept learning , 2000, Nature.
[59] N. Chater,et al. Rational models of cognition , 1998 .
[60] K. Lamberts. Information-accumulation theory of speeded categorization. , 2000, Psychological review.
[61] Arthur B. Markman,et al. Role-governed categories , 2001, J. Exp. Theor. Artif. Intell..
[62] Jacob feldman,et al. Bayesian contour integration , 2001, Perception & psychophysics.
[63] Refractor. Vision , 2000, The Lancet.
[64] J. Tenenbaum,et al. Generalization, similarity, and Bayesian inference. , 2001, The Behavioral and brain sciences.
[65] Mark K. Johansen,et al. Are there representational shifts during category learning? , 2002, Cognitive Psychology.
[66] N. Chopin. A sequential particle filter method for static models , 2002 .
[67] G. Murphy,et al. The Big Book of Concepts , 2002 .
[68] W. Geisler. Ideal Observer Analysis , 2002 .
[69] B. Love. Comparing supervised and unsupervised category learning , 2002, Psychonomic bulletin & review.
[70] B. Rehder. A causal-model theory of conceptual representation and categorization. , 2003, Journal of experimental psychology. Learning, memory, and cognition.
[71] Timothy J. Robinson,et al. Sequential Monte Carlo Methods in Practice , 2003 .
[72] Peter Norvig,et al. Artificial intelligence - a modern approach, 2nd Edition , 2003, Prentice Hall series in artificial intelligence.
[73] J. Feldman. The Simplicity Principle in Human Concept Learning , 2003 .
[74] P. Kantor. Foundations of Statistical Natural Language Processing , 2001, Information Retrieval.
[75] J. Feldman. How surprising is a simple pattern? Quantifying “Eureka!” , 2004, Cognition.
[76] J. D. Smith,et al. Category learning in rhesus monkeys: a study of the Shepard, Hovland, and Jenkins (1961) tasks. , 2004, Journal of experimental psychology. General.
[77] R. Baierlein. Probability Theory: The Logic of Science , 2004 .
[78] D. Medin,et al. SUSTAIN: a network model of category learning. , 2004, Psychological review.
[79] Fei Xu,et al. Word Learning as Bayesian Inference: Evidence from Preschoolers , 2005 .
[80] J. Tenenbaum,et al. Structure and strength in causal induction , 2005, Cognitive Psychology.
[81] E. Pothos. The rules versus similarity distinction. , 2005, The Behavioral and brain sciences.
[82] Joseph Y. Halpern,et al. Causes and Explanations: A Structural-Model Approach. Part II: Explanations , 2001, The British Journal for the Philosophy of Science.
[83] A. Markman,et al. Categorization inside and outside the laboratory : essays in honor of Douglas L. Medin , 2005 .
[84] J. Kruschke. Locally Bayesian learning with applications to retrospective revaluation and highlighting. , 2006, Psychological review.
[85] Thomas L. Griffiths,et al. A more rational model of categorization , 2006 .
[86] J. Feldman. An algebra of human concept learning , 2006 .
[87] Daniel J. Navarro,et al. From natural kinds to complex categories , 2006 .
[88] J. Tenenbaum,et al. Word learning as Bayesian inference. , 2007, Psychological review.
[89] Thomas L. Griffiths,et al. Compositionality in rational analysis: grammar-based induction for concept learning , 2008 .