Results for 'William J. Read'

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  1. Edge Modes and Dressing Fields for the Newton–Cartan Quantum Hall Effect.William J. Wolf, James Read & Nicholas J. Teh - 2022 - Foundations of Physics 53 (1):1-24.
    It is now well-known that Newton–Cartan theory is the correct geometrical setting for modelling the quantum Hall effect. In addition, in recent years edge modes for the Newton–Cartan quantum Hall effect have been derived. However, the existence of these edge modes has, as of yet, been derived using only orthodox methodologies involving the breaking of gauge-invariance; it would be preferable to derive the existence of such edge modes in a gauge-invariant manner. In this article, we employ recent work by Donnelly (...)
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  2. Respecting boundaries: theoretical equivalence and structure beyond dynamics.William J. Wolf & James Read - 2023 - European Journal for Philosophy of Science 13 (4):1-28.
    A standard line in the contemporary philosophical literature has it that physical theories are equivalent only when they agree on their empirical content, where this empirical content is often understood as being encoded in the equations of motion of those theories. In this article, we question whether it is indeed the case that the empirical content of a theory is exhausted by its equations of motion, showing that (for example) considerations of boundary conditions play a key role in the empirical (...)
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  3. Scientific Networks on Data Landscapes: Question Difficulty, Epistemic Success, and Convergence.Patrick Grim, Daniel J. Singer, Steven Fisher, Aaron Bramson, William J. Berger, Christopher Reade, Carissa Flocken & Adam Sales - 2013 - Episteme 10 (4):441-464.
    A scientific community can be modeled as a collection of epistemic agents attempting to answer questions, in part by communicating about their hypotheses and results. We can treat the pathways of scientific communication as a network. When we do, it becomes clear that the interaction between the structure of the network and the nature of the question under investigation affects epistemic desiderata, including accuracy and speed to community consensus. Here we build on previous work, both our own and others’, in (...)
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  4. Philosophy of Computer Science.William J. Rapaport - 2005 - Teaching Philosophy 28 (4):319-341.
    There are many branches of philosophy called “the philosophy of X,” where X = disciplines ranging from history to physics. The philosophy of artificial intelligence has a long history, and there are many courses and texts with that title. Surprisingly, the philosophy of computer science is not nearly as well-developed. This article proposes topics that might constitute the philosophy of computer science and describes a course covering those topics, along with suggested readings and assignments.
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  5. Contextual Vocabulary Acquisition: A Computational Theory and Educational Curriculum.William J. Rapaport & Michael W. Kibby - 2002 - In Nagib Callaos, Ana Breda & Ma Yolanda Fernandez J. (eds.), Proceedings of the 6th World Multiconference on Systemics, Cybernetics and Informatics. International Institute of Informatics and Systemics.
    We discuss a research project that develops and applies algorithms for computational contextual vocabulary acquisition (CVA): learning the meaning of unknown words from context. We try to unify a disparate literature on the topic of CVA from psychology, first- and secondlanguage acquisition, and reading science, in order to help develop these algorithms: We use the knowledge gained from the computational CVA system to build an educational curriculum for enhancing students’ abilities to use CVA strategies in their reading of science texts (...)
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  6. In Defense of Contextual Vocabulary Acquisition: How to Do Things with Words in Context.William J. Rapaport - 2005 - In Anind Dey, Boicho Kokinov, David Leake & Roy Turner (eds.), Proceedings of the 5th International and Interdisciplinary Conference on Modeling and Using Context. Springer-Verlag Lecture Notes in Artificial Intelligence 3554. pp. 396--409.
    Contextual vocabulary acquisition (CVA) is the deliberate acquisition of a meaning for a word in a text by reasoning from context, where “context” includes: (1) the reader’s “internalization” of the surrounding text, i.e., the reader’s “mental model” of the word’s “textual context” (hereafter, “co-text” [3]) integrated with (2) the reader’s prior knowledge (PK), but it excludes (3) external sources such as dictionaries or people. CVA is what you do when you come across an unfamiliar word in your reading, realize that (...)
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  7. God, the Demon, and the Cogito.William J. Rapaport - manuscript
    The purpose of this essay is to exhibit in detail the setting for the version of the Cogito Argument that appears in Descartes’s Meditations. I believe that a close reading of the text can shed new light on the nature and role of the “evil demon”, on the nature of God as he appears in the first few Meditations, and on the place of the Cogito Argument in Descartes’s overall scheme.
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  8. Contextual Vocabulary Acquisition: from Algorithm to Curriculum.Michael W. Kibby & William J. Rapaport - 2014 - In Adriano Palma (ed.), Castañeda and His Guises: Essays on the Work of Hector-Neri Castañeda. De Gruyter. pp. 107-150.
    Deliberate contextual vocabulary acquisition (CVA) is a reader’s ability to figure out a (not the) meaning for an unknown word from its “context”, without external sources of help such as dictionaries or people. The appropriate context for such CVA is the “belief-revised integration” of the reader’s prior knowledge with the reader’s “internalization” of the text. We discuss unwarranted assumptions behind some classic objections to CVA, and present and defend a computational theory of CVA that we have adapted to a new (...)
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  9. The SNePS Family.Stuart C. Shapiro & William J. Rapaport - 1992 - Computers and Mathematics with Applications 23:243-275.
    SNePS, the Semantic Network Processing System 45, 54], has been designed to be a system for representing the beliefs of a natural-language-using intelligent system (a \cognitive agent"). It has always been the intention that a SNePS-based \knowledge base" would ultimatelybe built, not by a programmeror knowledge engineer entering representations of knowledge in some formallanguage or data entry system, but by a human informing it using a natural language (NL) (generally supposed to be English), or by the system reading books or (...)
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  10. Counterepistemic indicative conditionals and probability.J. R. G. Williams - manuscript
    *This work is no longer under development* Two major themes in the literature on indicative conditionals are that the content of indicative conditionals typically depends on what is known;1 that conditionals are intimately related to conditional probabilities.2 In possible world semantics for counterfactual conditionals, a standard assumption is that conditionals whose antecedents are metaphysically impossible are vacuously true.3 This aspect has recently been brought to the fore, and defended by Tim Williamson, who uses it in to characterize alethic necessity by (...)
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  11.  99
    Autonomy and Community in Kant's Theory of Taste.Jessica J. Williams - forthcoming - The Journal of Aesthetics and Art Criticism.
    In this paper, I argue that Kant has a far more communitarian theory of aesthetic life than is usually acknowledged. I focus on two aspects of Kant’s theory that might otherwise be taken to support an individualist reading, namely, Kant’s emphasis on aesthetic autonomy and his characterization of judgments of taste as involving demands for agreement. I argue that the full expression of autonomy in fact requires being a member of an aesthetic community and that within such a community, judgments (...)
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  12. Conformed by Praise: Xunzi and William of Auxerre on the Ethics of Liturgy.Jacob J. Andrews - 2022 - American Catholic Philosophical Quarterly 96 (1):113-136.
    The classical Confucian philosopher Xunzi proposed a naturalistic virtue ethics account of ritual: rituals are practices that channel human emotion and desire so that one develops virtues. In this paper I show that William of Auxerre’s Summa de Officiis Ecclesiasticis can be understood as presenting a similar account of ritual. William places great emphasis on the emotional power of the liturgy, which makes participants like the blessed in heaven by developing virtue. In other words, he has a virtue (...)
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  13. Syntactic semantics: Foundations of computational natural language understanding.William J. Rapaport - 1988 - In James H. Fetzer (ed.), Aspects of AI. Kluwer Academic Publishers.
    This essay considers what it means to understand natural language and whether a computer running an artificial-intelligence program designed to understand natural language does in fact do so. It is argued that a certain kind of semantics is needed to understand natural language, that this kind of semantics is mere symbol manipulation (i.e., syntax), and that, hence, it is available to AI systems. Recent arguments by Searle and Dretske to the effect that computers cannot understand natural language are discussed, and (...)
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  14. Meinong, Alexius; I: Meinongian Semantics.William J. Rapaport - 1991 - In Hans Burkhardt & Barry Smith (eds.), Handbook of metaphysics and ontology. Munich: Philosophia Verlag. pp. 516-519.
    A brief introduction to Meinong, his theory of objects, and modern interpretations of it. Sections include: The Theory of Objects, Castañeda's Theory of Guises, Parsons,'s Theory of Nonexistent Objects, Rapaport's Theory of Meinongian Objects, Routley's Theory of Items.
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  15. Semiotic Systems, Computers, and the Mind: How Cognition Could Be Computing.William J. Rapaport - 2012 - International Journal of Signs and Semiotic Systems 2 (1):32-71.
    In this reply to James H. Fetzer’s “Minds and Machines: Limits to Simulations of Thought and Action”, I argue that computationalism should not be the view that (human) cognition is computation, but that it should be the view that cognition (simpliciter) is computable. It follows that computationalism can be true even if (human) cognition is not the result of computations in the brain. I also argue that, if semiotic systems are systems that interpret signs, then both humans and computers are (...)
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  16. Understanding understanding: Syntactic semantics and computational cognition.William J. Rapaport - 1995 - Philosophical Perspectives 9:49-88.
    John Searle once said: "The Chinese room shows what we knew all along: syntax by itself is not sufficient for semantics. (Does anyone actually deny this point, I mean straight out? Is anyone actually willing to say, straight out, that they think that syntax, in the sense of formal symbols, is really the same as semantic content, in the sense of meanings, thought contents, understanding, etc.?)." I say: "Yes". Stuart C. Shapiro has said: "Does that make any sense? Yes: Everything (...)
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  17. On Epistemic Logic and Logical Omniscience.William J. Rapaport & Moshe Y. Vardi - 1988 - Journal of Symbolic Logic 53 (2):668.
    Review of Joseph Y. Halpern (ed.), Theoretical Aspects of Reasoning About Knowledge: Proceedings of the 1986 Conference (Los Altos, CA: Morgan Kaufmann, 1986),.
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  18. Logical foundations for belief representation.William J. Rapaport - 1986 - Cognitive Science 10 (4):371-422.
    This essay presents a philosophical and computational theory of the representation of de re, de dicto, nested, and quasi-indexical belief reports expressed in natural language. The propositional Semantic Network Processing System (SNePS) is used for representing and reasoning about these reports. In particular, quasi-indicators (indexical expressions occurring in intentional contexts and representing uses of indicators by another speaker) pose problems for natural-language representation and reasoning systems, because--unlike pure indicators--they cannot be replaced by coreferential NPs without changing the meaning of the (...)
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  19. How Helen Keller Used Syntactic Semantics to Escape from a Chinese Room.William J. Rapaport - 2006 - Minds and Machines 16 (4):381-436.
    A computer can come to understand natural language the same way Helen Keller did: by using “syntactic semantics”—a theory of how syntax can suffice for semantics, i.e., how semantics for natural language can be provided by means of computational symbol manipulation. This essay considers real-life approximations of Chinese Rooms, focusing on Helen Keller’s experiences growing up deaf and blind, locked in a sort of Chinese Room yet learning how to communicate with the outside world. Using the SNePS computational knowledge-representation system, (...)
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  20. Quasi‐Indexicals and Knowledge Reports.William J. Rapaport, Stuart C. Shapiro & Janyce M. Wiebe - 1997 - Cognitive Science 21 (1):63-107.
    We present a computational analysis of de re, de dicto, and de se belief and knowledge reports. Our analysis solves a problem first observed by Hector-Neri Castañeda, namely, that the simple rule -/- `(A knows that P) implies P' -/- apparently does not hold if P contains a quasi-indexical. We present a single rule, in the context of a knowledge-representation and reasoning system, that holds for all P, including those containing quasi-indexicals. In so doing, we explore the difference between reasoning (...)
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  21. Taking God Seriously, but Not Too Seriously: The Divine Command Theory and William James' 'The Moral Philosopher and the Moral Life’.Mark J. Boone - 2013 - William James Studies 10:1-20.
    While some scholars neglect the theological component to William James’s ethical views in “The Moral Philosopher and the Moral Life,” Michael Cantrell reads it as promoting a divine command theory (DCT) of the foundations of moral obligation. While Cantrell’s interpretation is to be commended for taking God seriously, he goes a little too far in the right direction. Although James’s view amounts to what could be called (and what Cantrell does call) a DCT because on it God’s demands are (...)
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  22. Non-Existent Objects and Epistemological Ontology.William J. Rapaport - 1985 - Grazer Philosophische Studien 25 (1):61-95.
    This essay examines the role of non-existent objects in "epistemological ontology" — the study of the entities that make thinking possible. An earlier revision of Meinong's Theory of Objects is reviewed, Meinong's notions of Quasisein and Außersein are discussed, and a theory of Meinongian objects as "combinatorially possible" entities is presented.
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  23. To think or not to think.William J. Rapaport - 1988 - Noûs 22 (4):585-609.
    A critical study of John Searle's Minds, Brains and Science (Cambridge, MA: Harvard University Press, 1984).
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  24. What Is the “Context” for Contextual Vocabulary Acquisition?William J. Rapaport - 2003 - Proceedings of the 4th Joint International Conference on Cognitive Science/7th Australasian Society for Cognitive Science Conference 2:547-552.
    “Contextual” vocabulary acquisition is the active, deliberate acquisition of a meaning for a word in a text by reasoning from textual clues and prior knowledge, including language knowledge and hypotheses developed from prior encounters with the word, but without external sources of help such as dictionaries or people. But what is “context”? Is it just the surrounding text? Does it include the reader’s background knowledge? I argue that the appropriate context for contextual vocabulary acquisition is the reader’s “internalization” of the (...)
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  25. Syntax, Semantics, and Computer Programs.William J. Rapaport - 2020 - Philosophy and Technology 33 (2):309-321.
    Turner argues that computer programs must have purposes, that implementation is not a kind of semantics, and that computers might need to understand what they do. I respectfully disagree: Computer programs need not have purposes, implementation is a kind of semantic interpretation, and neither human computers nor computing machines need to understand what they do.
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  26. Yes, She Was!: Reply to Ford’s “Helen Keller Was Never in a Chinese Room”.William J. Rapaport - 2011 - Minds and Machines 21 (1):3-17.
    Ford’s Helen Keller Was Never in a Chinese Room claims that my argument in How Helen Keller Used Syntactic Semantics to Escape from a Chinese Room fails because Searle and I use the terms ‘syntax’ and ‘semantics’ differently, hence are at cross purposes. Ford has misunderstood me; this reply clarifies my theory.
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  27. Cognitive and Computer Systems for Understanding Narrative Text.William J. Rapaport, Erwin M. Segal, Stuart C. Shapiro, David A. Zubin, Gail A. Bruder, Judith Felson Duchan & David M. Mark - manuscript
    This project continues our interdisciplinary research into computational and cognitive aspects of narrative comprehension. Our ultimate goal is the development of a computational theory of how humans understand narrative texts. The theory will be informed by joint research from the viewpoints of linguistics, cognitive psychology, the study of language acquisition, literary theory, geography, philosophy, and artificial intelligence. The linguists, literary theorists, and geographers in our group are developing theories of narrative language and spatial understanding that are being tested by the (...)
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  28. Testing epistemic democracy’s claims for majority rule.William J. Berger & Adam Sales - 2019 - Politics, Philosophy and Economics 19 (1):22-35.
    While epistemic democrats have claimed that majority rule recruits the wisdom of the crowd to identify correct answers to political problems, the conjecture remains abstract. This article illustrates how majority rule leverages the epistemic capacity of the electorate to practically enhance the instrumental value of elections. To do so, we identify a set of sufficient conditions that effect such a majority rule mechanism, even when the decision in question is multidimensional. We then look to the case of sociotropic economic voting (...)
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  29. CASTANEDA, Hector-Neri (1924–1991).William J. Rapaport - 2005 - In John R. Shook (ed.), The Dictionary of Modern American Philosophers, 1860-1960. Thoemmes Press.
    H´ector-Neri Casta˜neda-Calder´on (December 13, 1924–September 7, 1991) was born in San Vicente Zacapa, Guatemala. He attended the Normal School for Boys in Guatemala City, later called the Military Normal School for Boys, from which he was expelled for refusing to fight a bully; the dramatic story, worthy of being filmed, is told in the “De Re” section of his autobiography, “Self-Profile” (1986). He then attended a normal school in Costa Rica, followed by studies in philosophy at the University of San (...)
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  30. Meinongian Semantics and Artificial Intelligence.William J. Rapaport - 2013 - Humana Mente 6 (25):25-52.
    This essay describes computational semantic networks for a philosophical audience and surveys several approaches to semantic-network semantics. In particular, propositional semantic networks are discussed; it is argued that only a fully intensional, Meinongian semantics is appropriate for them; and several Meinongian systems are presented.
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  31. Meinong, Defective Objects, and (Psycho-)Logical Paradox.William J. Rapaport - 1982 - Grazer Philosophische Studien 18 (1):17-39.
    Alexius Meinong developed a notion of defective objects in order to account for various logical and psychological paradoxes. The notion is of historical interest, since it presages recent work on the logical paradoxes by Herzberger and Kripke. But it fails to do the job it was designed for. However, a technique implicit in Meinong's investigation is more successful and can be adapted to resolve a similar paradox discovered by Romane Clark in a revised version of Meinong's Theory of Objects due (...)
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  32. Computers Are Syntax All the Way Down: Reply to Bozşahin.William J. Rapaport - 2019 - Minds and Machines 29 (2):227-237.
    A response to a recent critique by Cem Bozşahin of the theory of syntactic semantics as it applies to Helen Keller, and some applications of the theory to the philosophy of computer science.
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  33. Because mere calculating isn't thinking: Comments on Hauser's Why Isn't My Pocket Calculator a Thinking Thing?.William J. Rapaport - 1993 - Minds and Machines 3 (1):11-20.
    Hauser argues that his pocket calculator (Cal) has certain arithmetical abilities: it seems Cal calculates. That calculating is thinking seems equally untendentious. Yet these two claims together provide premises for a seemingly valid syllogism whose conclusion - Cal thinks - most would deny. He considers several ways to avoid this conclusion, and finds them mostly wanting. Either we ourselves can't be said to think or calculate if our calculation-like performances are judged by the standards proposed to rule out Cal; or (...)
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  34. On cogito propositions.William J. Rapaport - 1976 - Philosophical Studies 29 (1):63-68.
    I argue that George Nakhnikian's analysis of the logic of cogito propositions (roughly, Descartes's 'cogito' and 'sum') is incomplete. The incompleteness is rectified by showing that disjunctions of cogito propositions with contingent, non-cogito propositions satisfy conditions of incorrigibility, self-certifyingness, and pragmatic consistency; hence, they belong to the class of propositions with whose help a complete characterization of cogito propositions is made possible.
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  35. A Triage Theory of Grading: The Good, the Bad, and the Middling.William J. Rapaport - 2011 - Teaching Philosophy 34 (4):347–372.
    This essay presents and defends a triage theory of grading: An item to be graded should get full credit if and only if it is clearly or substantially correct, minimal credit if and only if it is clearly or substantially incorrect, and partial credit if and only if it is neither of the above; no other (intermediate) grades should be given. Details on how to implement this are provided, and further issues in the philosophy of grading (reasons for and against (...)
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  36.  97
    Computers Are Syntax All the Way Down: Reply to Bozşahin.William J. Rapaport - 2019 - Minds and Machines 29 (2):227-237.
    A response to a recent critique by Cem Bozşahin of the theory of syntactic semantics as it applies to Helen Keller, and some applications of the theory to the philosophy of computer science.
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  37. Response to Eklund.Elizabeth Barnes & J. Robert G. Williams - 2011 - Oxford Studies in Metaphysics 6.
    This chapter defends the account of metaphysical indeterminacy of Barnes and Williams against Eklund's objections.
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  38. Non-Existent Objects and Epistemological Ontology.William J. Rapaport - 1985 - Grazer Philosophische Studien 25-26 (1):61-95.
    This essay examines the role of non-existent objects in "epistemological ontology"--the study of the entities that make thinking possible. An earlier revision of Meinong's Theory of Objects is reviewed, Meinong's notions of Quasisein and Aussersein are discussed, and a theory of Meinongian objects as "combinatorially possible" entities is presented.
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  39. Toward a political economy of crime.William J. Chambliss - 1975 - Theory and Society 2 (1):149-170.
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  40. Timaeus 48e-52d and the Third Man Argument.William J. Prior - 1983 - Canadian Journal of Philosophy, Supplementary Volume 9:123-147.
    In this article I argue that "Timaeus" 48e-52d, the passage in which Plato introduces the receptacle into his ontology, Contains the material for a satisfactory response to the third man argument. Plato's use of "this" and "such" to distinguish the receptacle, Becoming, And the forms clarifies the nature of his ontology and indicates that the forms are not, In general, self-predicative. This result removes one argument against regarding the "Timaeus" as a late dialogue.
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  41. Critical Review of Minds, Brains and Science.William J. Rapaport - 1988 - Noûs 22 (4):585-609.
    Critical Review of Searle's Minds, Brains and Science.
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  42. Vague parts and vague identity.Elizabeth Barnes & J. R. G. Williams - 2009 - Pacific Philosophical Quarterly 90 (2):176-187.
    We discuss arguments against the thesis that the world itself can be vague. The first section of the paper distinguishes dialectically effective from ineffective arguments against metaphysical vagueness. The second section constructs an argument against metaphysical vagueness that promises to be of the dialectically effective sort: an argument against objects with vague parts. Firstly, cases of vague parthood commit one to cases of vague identity. But we argue that Evans' famous argument against will not on its own enable one to (...)
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  43. Ethical Issues in the Use of Computers.William J. Rapaport - 1986 - Teaching Philosophy 9 (3):275-278.
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  44. Parmenides 132c-133a and the Development of Plato's Thought.William J. Prior - 1979 - Phronesis 24 (3):230-240.
    In this paper I argue against the view of G.E.L. Owen that the second version of the Third Man Argument is a sound objection to Plato's conception of Forms as paradigms and that Plato knew it. The argument can be formulated so as to be valid, but Plato need not be committed to one of its premises. Forms are self-predicative, but the ground of self-predication is not the same as that of ordinary predication.
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  45. Philosophy of Artificial Intelligence: A Course Outline.William J. Rapaport - 1986 - Teaching Philosophy 9 (2):103-120.
    In the Fall of 1983, I offered a junior/senior-level course in Philosophy of Artificial Intelligence, in the Department of Philosophy at SUNY Fredonia, after returning there from a year’s leave to study and do research in computer science and artificial intelligence (AI) at SUNY Buffalo. Of the 30 students enrolled, most were computerscience majors, about a third had no computer background, and only a handful had studied any philosophy. (I might note that enrollments have subsequently increased in the Philosophy Department’s (...)
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  46. The inner mind and the outer world: Guest editor's introduction to a special issue on cognitive science and artificial intelligence.William J. Rapaport - 1991 - Noûs 25 (4):405-410.
    It is well known that people from other disciplines have made significant contributions to philosophy and have influenced philosophers. It is also true (though perhaps not often realized, since philosophers are not on the receiving end, so to speak) that philosophers have made significant contributions to other disciplines and have influenced researchers in these other disciplines, sometimes more so than they have influenced philosophy itself. But what is perhaps not as well known as it ought to be is that researchers (...)
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  47. Philosophy for Children and Other People.William J. Rapaport - 1987 - American Philosophical Association Newsletter on Teaching Philosophy (Summer):19-22.
    It is a matter of fact—and has been so for a considerable amount of time—that philosophy is taught at the pre—college level. However, to teach philosophy at that (or at any) level is one thing; to teach it well is quite another. Fortunately, it can be taught well, as a host of successful experiences and programs have shown. But in what ways can it be taught? Are there differences in the ways in which it can or should be taught at (...)
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  48. Decision-Making Under Indeterminacy.J. Robert G. Williams - 2014 - Philosophers' Imprint 14.
    Decisions are made under uncertainty when there are distinct outcomes of a given action, and one is uncertain to which the act will lead. Decisions are made under indeterminacy when there are distinct outcomes of a given action, and it is indeterminate to which the act will lead. This paper develops a theory of (synchronic and diachronic) decision-making under indeterminacy that portrays the rational response to such situations as inconstant. Rational agents have to capriciously and randomly choose how to resolve (...)
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  49. Review of Joseph Y. Halpern (ed.), Theoretical Aspects of Reasoning About Knowledge: Proceedings of the 1986 Conference. [REVIEW]William J. Rapaport - 1988 - Journal of Symbolic Logic 53 (2):669-670.
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  50. Ontic vagueness and metaphysical indeterminacy.J. Robert G. Williams - 2008 - Philosophy Compass 3 (4):763-788.
    Might it be that world itself, independently of what we know about it or how we represent it, is metaphysically indeterminate? This article tackles in turn a series of questions: In what sorts of cases might we posit metaphysical indeterminacy? What is it for a given case of indefiniteness to be 'metaphysical'? How does the phenomenon relate to 'ontic vagueness', the existence of 'vague objects', 'de re indeterminacy' and the like? How might the logic work? Are there reasons for postulating (...)
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