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Nelson Goodman [181]Noah D. Goodman [28]Nicolas D. Goodman [27]N. Goodman [13]
Noah Goodman [3]Nicholas Goodman [2]N. D. Goodman [2]N. W. Goodman [2]

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  1. Fact, Fiction, and Forecast.Nelson Goodman - 1955 - Harvard University Press.
    In his new foreword to this edition, Hilary Putnam forcefully rejects these nativist claims.
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  2. Languages of Art.Nelson Goodman - 1968 - Bobbs-Merrill.
    . . . Unlike Dewey, he has provided detailed incisive argumentation, and has shown just where the dogmas and dualisms break down." -- Richard Rorty, The Yale Review.
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  3.  75
    Ways of Worldmaking.Nelson Goodman - 1978 - Harvester Press.
    Required reading at more than 100 colleges and universities throughout North America.
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  4. About.N. Goodman - 1961 - Mind 70:1.
  5. Problems and Projects.Nelson Goodman - 1972 - Indianapolis: Bobbs-Merrill.
  6.  59
    Of Mind and Other Matters.Nelson Goodman - 1984 - Harvard University Press.
    Essays discuss cognition, perception, art, science, truth, metaphor, education, philosophy, and cognitive psychology.
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  7.  22
    One and Done? Optimal Decisions From Very Few Samples.Edward Vul, Noah Goodman, Thomas L. Griffiths & Joshua B. Tenenbaum - 2014 - Cognitive Science 38 (4):599-637.
    In many learning or inference tasks human behavior approximates that of a Bayesian ideal observer, suggesting that, at some level, cognition can be described as Bayesian inference. However, a number of findings have highlighted an intriguing mismatch between human behavior and standard assumptions about optimality: People often appear to make decisions based on just one or a few samples from the appropriate posterior probability distribution, rather than using the full distribution. Although sampling-based approximations are a common way to implement Bayesian (...)
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  8.  81
    Knowledge and Implicature: Modeling Language Understanding as Social Cognition.Noah D. Goodman & Andreas Stuhlmüller - 2013 - Topics in Cognitive Science 5 (1):173-184.
    Is language understanding a special case of social cognition? To help evaluate this view, we can formalize it as the rational speech-act theory: Listeners assume that speakers choose their utterances approximately optimally, and listeners interpret an utterance by using Bayesian inference to “invert” this model of the speaker. We apply this framework to model scalar implicature (“some” implies “not all,” and “N” implies “not more than N”). This model predicts an interaction between the speaker's knowledge state and the listener's interpretation. (...)
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  9.  80
    The Structure of Appearance.Nelson Goodman - 1951 - Harvard University Press.
  10. Selective Confirmation and the Ravens: A Reply to Foster.Israel Scheffler & Nelson Goodman - 1972 - Journal of Philosophy 69 (3):78.
  11.  13
    A Rational Analysis of Rule‐Based Concept Learning.Noah D. Goodman, Joshua B. Tenenbaum, Jacob Feldman & Thomas L. Griffiths - 2008 - Cognitive Science 32 (1):108-154.
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  12.  13
    The Double-Edged Sword of Pedagogy: Instruction Limits Spontaneous Exploration and Discovery.Elizabeth Bonawitz, Patrick Shafto, Hyowon Gweon, Noah D. Goodman, Elizabeth Spelke & Laura Schulz - 2011 - Cognition 120 (3):322-330.
  13. The Structure and Dynamics of Scientific Theories: A Hierarchical Bayesian Perspective.Henderson Leah, D. Goodman Noah, B. Tenenbaum Joshua & F. Woodward James - 2010 - Philosophy of Science 77 (2):172-200.
    Hierarchical Bayesian models (HBMs) provide an account of Bayesian inference in a hierarchically structured hypothesis space. Scientific theories are plausibly regarded as organized into hierarchies in many cases, with higher levels sometimes called ‘paradigms’ and lower levels encoding more specific or concrete hypotheses. Therefore, HBMs provide a useful model for scientific theory change, showing how higher‐level theory change may be driven by the impact of evidence on lower levels. HBMs capture features described in the Kuhnian tradition, particularly the idea that (...)
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  14.  29
    Rational Use of Cognitive Resources: Levels of Analysis Between the Computational and the Algorithmic.Thomas L. Griffiths, Falk Lieder & Noah D. Goodman - 2015 - Topics in Cognitive Science 7 (2):217-229.
    Marr's levels of analysis—computational, algorithmic, and implementation—have served cognitive science well over the last 30 years. But the recent increase in the popularity of the computational level raises a new challenge: How do we begin to relate models at different levels of analysis? We propose that it is possible to define levels of analysis that lie between the computational and the algorithmic, providing a way to build a bridge between computational- and algorithmic-level models. The key idea is to push the (...)
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  15.  7
    Going Beyond the Evidence: Abstract Laws and Preschoolers’ Responses to Anomalous Data.Laura E. Schulz, Noah D. Goodman, Joshua B. Tenenbaum & Adrianna C. Jenkins - 2008 - Cognition 109 (2):211-223.
  16.  39
    Learning to Learn Causal Models.Charles Kemp, Noah D. Goodman & Joshua B. Tenenbaum - 2010 - Cognitive Science 34 (7):1185-1243.
    Learning to understand a single causal system can be an achievement, but humans must learn about multiple causal systems over the course of a lifetime. We present a hierarchical Bayesian framework that helps to explain how learning about several causal systems can accelerate learning about systems that are subsequently encountered. Given experience with a set of objects, our framework learns a causal model for each object and a causal schema that captures commonalities among these causal models. The schema organizes the (...)
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  17.  31
    Reconceptions in Philosophy and Other Arts and Sciences.Nelson Goodman - 1988 - Routledge.
    Knowing and Making 1. Obstacles to Knowing The theory of knowledge to be sketched here rejects both absolutism and nihilism, both unique truth and the ...
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  18. Steps Toward a Constructive Nominalism.Nelson Goodman & W. V. Quine - 1947 - Journal of Symbolic Logic 12 (4):105-122.
  19.  20
    Adjectival Vagueness in a Bayesian Model of Interpretation.Daniel Lassiter & Noah D. Goodman - forthcoming - Synthese:1-36.
    We derive a probabilistic account of the vagueness and context-sensitivity of scalar adjectives from a Bayesian approach to communication and interpretation. We describe an iterated-reasoning architecture for pragmatic interpretation and illustrate it with a simple scalar implicature example. We then show how to enrich the apparatus to handle pragmatic reasoning about the values of free variables, explore its predictions about the interpretation of scalar adjectives, and show how this model implements Edgington’s Vagueness: a reader, 1997) account of the sorites paradox, (...)
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  20. The Problem of Counterfactual Conditionals.Nelson Goodman - 1947 - Journal of Philosophy 44 (5):113-128.
  21.  11
    Languages of Art: An Approach to a Theory of Symbols.B. C. O'Neill & Nelson Goodman - 1971 - Philosophical Quarterly 21 (85):361.
  22. The Calculus of Individuals and its Uses.Henry S. Leonard & Nelson Goodman - 1940 - Journal of Symbolic Logic 5 (2):45-55.
  23. Seven Strictures on Similarity.Nelson Goodman - 1972 - In Problems and Projects. Bobs-Merril.
     
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  24.  13
    The Imaginary Fundamentalists: The Unshocking Truth About Bayesian Cognitive Science.Nick Chater, Noah Goodman, Thomas L. Griffiths, Charles Kemp, Mike Oaksford & Joshua B. Tenenbaum - 2011 - Behavioral and Brain Sciences 34 (4):194-196.
    If Bayesian Fundamentalism existed, Jones & Love's (J&L's) arguments would provide a necessary corrective. But it does not. Bayesian cognitive science is deeply concerned with characterizing algorithms and representations, and, ultimately, implementations in neural circuits; it pays close attention to environmental structure and the constraints of behavioral data, when available; and it rigorously compares multiple models, both within and across papers. J&L's recommendation of Bayesian Enlightenment corresponds to past, present, and, we hope, future practice in Bayesian cognitive science.
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  25.  26
    Bootstrapping in a Language of Thought: A Formal Model of Numerical Concept Learning.Steven T. Piantadosi, Joshua B. Tenenbaum & Noah D. Goodman - 2012 - Cognition 123 (2):199-217.
  26.  7
    Cause and Intent: Social Reasoning in Causal Learning.Noah D. Goodman, Chris L. Baker & Joshua B. Tenenbaum - 2009 - In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society. pp. 2759--2764.
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  27.  2
    Where Science Starts: Spontaneous Experiments in Preschoolers’ Exploratory Play.Claire Cook, Noah D. Goodman & Laura E. Schulz - 2011 - Cognition 120 (3):341-349.
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  28. The New Riddle of Induction.Nelson Goodman - 2000 - In Sven Bernecker & Fred I. Dretske (eds.), Knowledge: Readings in Contemporary Epistemology. Oxford University Press.
     
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  29.  20
    Learning Causal Schemata.Charles Kemp, Noah D. Goodman & Joshua B. Tenenbaum - 2007 - In McNamara D. S. & Trafton J. G. (eds.), Proceedings of the 29th Annual Cognitive Science Society. Cognitive Science Society. pp. 389--394.
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  30.  10
    How Many Kinds of Reasoning? Inference, Probability, and Natural Language Semantics.Daniel Lassiter & Noah D. Goodman - 2015 - Cognition 136:123-134.
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  31. Informative Communication in Word Production and Word Learning.Michael C. Frank, Noah D. Goodman, Peter Lai & Joshua B. Tenenbaum - 2009 - In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society.
     
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  32. On Likeness of Meaning.Nelson Goodman - 1949 - Analysis 10 (1):1 - 7.
    No categories
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  33.  50
    A Query on Confirmation.Nelson Goodman - 1946 - Journal of Philosophy 43 (14):383-385.
  34.  85
    The Way the World Is.Nelson Goodman - 1960 - Review of Metaphysics 14 (1):48 - 56.
  35.  59
    Relativized Realizability in Intuitionistic Arithmetic of All Finite Types.Nicolas D. Goodman - 1978 - Journal of Symbolic Logic 43 (1):23-44.
  36.  16
    How Tall is Tall? Compositionality, Statistics, and Gradable Adjectives.Lauren A. Schmidt, Noah D. Goodman, David Barner & Joshua B. Tenenbaum - 2009 - In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society.
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  37.  8
    Relational and Role-Governed Categories: Views From Psychology, Computational Modeling, and Linguistics.Micah B. Goldwater, Noah D. Goodman, Stephen Wechsler & Gregory L. Murphy - 2009 - In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society.
  38.  6
    Clinical Governance: Vision or Mirage?Neville W. Goodman - 2002 - Journal of Evaluation in Clinical Practice 8 (2):243-249.
  39. Parry on Counterfactuals.Nelson Goodman - 1957 - Journal of Philosophy 54 (14):442-445.
  40.  22
    The Logic of Contradiction.Nicolas D. Goodman - 1981 - Zeitschrift fur mathematische Logik und Grundlagen der Mathematik 27 (8-10):119-126.
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  41.  5
    The Journal of Symbolic Logic Publishes Original Scholarly Work in Symbolic Logic. Founded in 1936, It has Become the Leading Research Journal in the Field. The Journal Aims to Represent Logic Broadly, Including its Connections with Mathematics and Philosophy as Well as Newer Aspects Related to Computer Science and Linguistics. [REVIEW]Frederic B. Fitch, J. B. Rosser, A. R. Turquette, R. M. Martin, Nelson Goodman, Soren Hallden & Paul Bernays - 2013 - Journal of Symbolic Logic 106 (107).
  42.  15
    Fact, Fiction & Forecast.Nelson Goodman - 1954 - [London]University of London.
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  43.  75
    Sense and Certainty.Nelson Goodman - 1952 - Philosophical Review 61 (2):160-167.
  44.  15
    The Problem of Universals.I. M. Bochenski, Alonzo Church & Nelson Goodman - 1958 - Philosophical Review 67 (3):421-424.
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  45.  12
    The Logic of Contradiction.Nicolas D. Goodman - 1981 - Mathematical Logic Quarterly 27 (8‐10):119-126.
  46.  63
    Interpretation and Identity: Can the Work Survive the World?Nelson Goodman & Catherine Z. Elgin - 1986 - Critical Inquiry 12 (3):564-575.
    Predictions concerning the end of the world have proven less reliable than your broker’s recommendations or your fondest hopes. Whether you await the end fearfully or eagerly, you may rest assured that it will never come—not because the world is everlasting but because it has already ended, if indeed it ever began. But we need not mourn, for the world is indeed well lost, and with it the stultifying stereotypes of absolutism: the absurd notions of science as the effort to (...)
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  47.  44
    Words, Works, Worlds.Nelson Goodman - 1975 - Erkenntnis 9 (1):57 - 73.
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  48.  4
    Comparing Pluralities.Gregory Scontras, Peter Graff & Noah D. Goodman - 2012 - Cognition 123 (1):190-197.
  49.  20
    Choice Implies Excluded Middle.N. Goodman & J. Myhill - 1978 - Zeitschrift fur mathematische Logik und Grundlagen der Mathematik 24 (25-30):461-461.
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  50.  6
    Choice Implies Excluded Middle.N. Goodman & J. Myhill - 1978 - Mathematical Logic Quarterly 24 (25‐30):461-461.
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