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Nelson Goodman [152]Noah D. Goodman [25]Nicolas D. Goodman [22]N. Goodman [11]
Noah Goodman [3]N. W. Goodman [2]Nicholas Goodman [1]N. D. Goodman [1]

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  1. Nelson Goodman (1983). Fact, Fiction, and Forecast. Harvard University Press.
    In his new foreword to this edition, Hilary Putnam forcefully rejects these nativist claims.
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  2. Nelson Goodman (1968). Languages of Art. 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.  63
    Nelson Goodman (1978). Ways of Worldmaking. Harvester Press.
    Required reading at more than 100 colleges and universities throughout North America.
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  4. Nelson Goodman (1972). Problems and Projects. Indianapolis,Bobbs-Merrill.
  5.  50
    Nelson Goodman (1984). Of Mind and Other Matters. Harvard University Press.
    Essays discuss cognition, perception, art, science, truth, metaphor, education, philosophy, and cognitive psychology.
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  6.  17
    Edward Vul, Noah Goodman, Thomas L. Griffiths & Joshua B. Tenenbaum (2014). One and Done? Optimal Decisions From Very Few Samples. 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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  7.  37
    Noah D. Goodman & Andreas Stuhlmüller (2013). Knowledge and Implicature: Modeling Language Understanding as Social Cognition. 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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  8.  53
    Nelson Goodman (1951). The Structure of Appearance. Harvard University Press.
  9.  12
    Noah D. Goodman, Joshua B. Tenenbaum, Jacob Feldman & Thomas L. Griffiths (2008). A Rational Analysis of Rule‐Based Concept Learning. Cognitive Science 32 (1):108-154.
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  10.  5
    Elizabeth Bonawitz, Patrick Shafto, Hyowon Gweon, Noah D. Goodman, Elizabeth Spelke & Laura Schulz (2011). The Double-Edged Sword of Pedagogy: Instruction Limits Spontaneous Exploration and Discovery. Cognition 120 (3):322-330.
  11.  10
    Thomas L. Griffiths, Falk Lieder & Noah D. Goodman (2015). Rational Use of Cognitive Resources: Levels of Analysis Between the Computational and the Algorithmic. 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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  12.  6
    Laura E. Schulz, Noah D. Goodman, Joshua B. Tenenbaum & Adrianna C. Jenkins (2008). Going Beyond the Evidence: Abstract Laws and Preschoolers’ Responses to Anomalous Data. Cognition 109 (2):211-223.
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  13.  34
    Charles Kemp, Noah D. Goodman & Joshua B. Tenenbaum (2010). Learning to Learn Causal Models. 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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  14.  22
    Nelson Goodman (1988). Reconceptions in Philosophy and Other Arts and Sciences. 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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  15.  63
    Leah Henderson, Noah D. Goodman, Joshua B. Tenenbaum & James F. Woodward (2010). The Structure and Dynamics of Scientific Theories: A Hierarchical Bayesian Perspective. Philosophy of Science 77 (2):172-200.
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  16. Nelson Goodman & W. V. Quine (1947). Steps Toward a Constructive Nominalism. Journal of Symbolic Logic 12 (4):105-122.
  17. Nelson Goodman (1947). The Problem of Counterfactual Conditionals. Journal of Philosophy 44 (5):113-128.
  18.  6
    Nick Chater, Noah Goodman, Thomas L. Griffiths, Charles Kemp, Mike Oaksford & Joshua B. Tenenbaum (2011). The Imaginary Fundamentalists: The Unshocking Truth About Bayesian Cognitive Science. 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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  19.  8
    B. C. O'Neill & Nelson Goodman (1971). Languages of Art: An Approach to a Theory of Symbols. Philosophical Quarterly 21 (85):361.
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  20.  21
    Nelson Goodman & Henry Leonard (1940). The Calculus of Individuals and its Uses. Journal of Symbolic Logic 5 (2):45-55.
  21.  8
    Daniel Lassiter & Noah D. Goodman (forthcoming). Adjectival Vagueness in a Bayesian Model of Interpretation. 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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  22. Henry S. Leonard & Nelson Goodman (1940). The Calculus of Individuals and its Uses. Journal of Symbolic Logic 5 (2):45-55.
  23.  15
    Steven T. Piantadosi, Joshua B. Tenenbaum & Noah D. Goodman (2012). Bootstrapping in a Language of Thought: A Formal Model of Numerical Concept Learning. Cognition 123 (2):199-217.
  24. Nelson Goodman (1972). Seven Strictures on Similarity. In Problems and Projects. Bobs-Merril
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  25.  5
    Noah D. Goodman, Chris L. Baker & Joshua B. Tenenbaum (2009). Cause and Intent: Social Reasoning in Causal Learning. In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society. 2759--2764.
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  26.  14
    Charles Kemp, Noah D. Goodman & Joshua B. Tenenbaum (2007). Learning Causal Schemata. In McNamara D. S. & Trafton J. G. (eds.), Proceedings of the 29th Annual Cognitive Science Society. Cognitive Science Society 389--394.
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  27. Nelson Goodman (1949). On Likeness of Meaning. Analysis 10 (1):1 - 7.
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  28.  7
    Michael C. Frank, Noah D. Goodman, Peter Lai & Joshua B. Tenenbaum (2009). Informative Communication in Word Production and Word Learning. In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society.
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  29. Nelson Goodman (1961). About. Mind 70 (277):1-24.
  30. Israel Scheffler & Nelson Goodman (1972). Selective Confirmation and the Ravens: A Reply to Foster. Journal of Philosophy 64 (3):78-83.
  31. Nelson Goodman (2000). The New Riddle of Induction. In Sven Bernecker & Fred I. Dretske (eds.), Knowledge: Readings in Contemporary Epistemology. OUP Oxford
     
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  32.  74
    Nelson Goodman (1960). The Way the World Is. Review of Metaphysics 14 (1):48 - 56.
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  33.  1
    Claire Cook, Noah D. Goodman & Laura E. Schulz (2011). Where Science Starts: Spontaneous Experiments in Preschoolers’ Exploratory Play. Cognition 120 (3):341-349.
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  34.  59
    Nicolas D. Goodman (1978). Relativized Realizability in Intuitionistic Arithmetic of All Finite Types. Journal of Symbolic Logic 43 (1):23-44.
  35. Nelson Goodman (1957). Parry on Counterfactuals. Journal of Philosophy 54 (14):442-445.
  36.  55
    Nelson Goodman & Catherine Z. Elgin (1986). Interpretation and Identity: Can the Work Survive the World? 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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  37.  39
    Nelson Goodman (1946). A Query on Confirmation. Journal of Philosophy 43 (14):383-385.
  38.  12
    Lauren A. Schmidt, Noah D. Goodman, David Barner & Joshua B. Tenenbaum (2009). How Tall is Tall? Compositionality, Statistics, and Gradable Adjectives. In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society.
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  39.  12
    Justine T. Kao, Roger Levy & Noah D. Goodman (2015). A Computational Model of Linguistic Humor in Puns. Cognitive Science 40 (1).
    Humor plays an essential role in human interactions. Precisely what makes something funny, however, remains elusive. While research on natural language understanding has made significant advancements in recent years, there has been little direct integration of humor research with computational models of language understanding. In this paper, we propose two information-theoretic measures—ambiguity and distinctiveness—derived from a simple model of sentence processing. We test these measures on a set of puns and regular sentences and show that they correlate significantly with human (...)
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  40.  5
    Frederic B. Fitch, J. B. Rosser, A. R. Turquette, R. M. Martin, Nelson Goodman, Soren Hallden & Paul Bernays (2013). 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] Journal of Symbolic Logic 106 (107).
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  41.  5
    Micah B. Goldwater, Noah D. Goodman, Stephen Wechsler & Gregory L. Murphy (2009). Relational and Role-Governed Categories: Views From Psychology, Computational Modeling, and Linguistics. In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society.
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  42.  2
    Neville W. Goodman (2002). Clinical Governance: Vision or Mirage? Journal of Evaluation in Clinical Practice 8 (2):243-249.
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  43.  61
    Nelson Goodman (1952). Sense and Certainty. Philosophical Review 61 (2):160-167.
  44.  3
    Gregory Scontras, Peter Graff & Noah D. Goodman (2012). Comparing Pluralities. Cognition 123 (1):190-197.
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  45.  3
    Nelson Goodman (1954). Fact, Fiction & Forecast. [London]University of London.
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  46.  39
    Nelson Goodman (1975). Words, Works, Worlds. Erkenntnis 9 (1):57 - 73.
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  47.  5
    I. M. Bochenski, Alonzo Church & Nelson Goodman (1958). The Problem of Universals. Philosophical Review 67 (3):421-424.
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  48. Nelson Goodman, J. D. Mabbott, Dorothy Emmet, J. P. Day, A. R. Manser & B. F. McGuinness (1958). New Books. [REVIEW] Mind 67 (265):107-119.
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  49.  38
    Nelson Goodman (1985). How Buildings Mean. Critical Inquiry 11 (4):642.
    Arthur Schopenhauer ranked the several arts in a hierarchy, with literary and dramatic arts at the top, music soaring in a separate even higher heaven, and architecture sinking to the ground under the weight of beams and bricks and mortar.1 The governing principle seems to be some measure of spirituality, with architecture ranking lowest by vice of being grossly material.Nowadays such rankings are taken less seriously. Traditional ideologies and mythologies of the arts are undergoing deconstruction and disvaluation, making way for (...)
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  50.  69
    Nicolas D. Goodman (1973). The Faithfulness of the Interpretation of Arithmetic in the Theory of Constructions. Journal of Symbolic Logic 38 (3):453-459.
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