What Is Recursion?
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
“The Church-Turing “Thesis” As a Special Corollary of Gödel's
“The Church-Turing “Thesis” as a Special Corollary of Gödel’s Completeness Theorem,” in Computability: Turing, Gödel, Church, and Beyond, B. J. Copeland, C. Posy, and O. Shagrir (eds.), MIT Press (Cambridge), 2013, pp. 77-104. Saul A. Kripke This is the published version of the book chapter indicated above, which can be obtained from the publisher at https://mitpress.mit.edu/books/computability. It is reproduced here by permission of the publisher who holds the copyright. © The MIT Press The Church-Turing “ Thesis ” as a Special Corollary of G ö del ’ s 4 Completeness Theorem 1 Saul A. Kripke Traditionally, many writers, following Kleene (1952) , thought of the Church-Turing thesis as unprovable by its nature but having various strong arguments in its favor, including Turing ’ s analysis of human computation. More recently, the beauty, power, and obvious fundamental importance of this analysis — what Turing (1936) calls “ argument I ” — has led some writers to give an almost exclusive emphasis on this argument as the unique justification for the Church-Turing thesis. In this chapter I advocate an alternative justification, essentially presupposed by Turing himself in what he calls “ argument II. ” The idea is that computation is a special form of math- ematical deduction. Assuming the steps of the deduction can be stated in a first- order language, the Church-Turing thesis follows as a special case of G ö del ’ s completeness theorem (first-order algorithm theorem). I propose this idea as an alternative foundation for the Church-Turing thesis, both for human and machine computation. Clearly the relevant assumptions are justified for computations pres- ently known. -
A Compositional Analysis for Subset Comparatives∗ Helena APARICIO TERRASA–University of Chicago
A Compositional Analysis for Subset Comparatives∗ Helena APARICIO TERRASA–University of Chicago Abstract. Subset comparatives (Grant 2013) are amount comparatives in which there exists a set membership relation between the target and the standard of comparison. This paper argues that subset comparatives should be treated as regular phrasal comparatives with an added presupposi- tional component. More specifically, subset comparatives presuppose that: a) the standard has the property denoted by the target; and b) the standard has the property denoted by the matrix predi- cate. In the account developed below, the presuppositions of subset comparatives result from the compositional principles independently required to interpret those phrasal comparatives in which the standard is syntactically contained inside the target. Presuppositions are usually taken to be li- censed by certain lexical items (presupposition triggers). However, subset comparatives show that presuppositions can also arise as a result of semantic composition. This finding suggests that the grammar possesses more than one way of licensing these inferences. Further research will have to determine how productive this latter strategy is in natural languages. Keywords: Subset comparatives, presuppositions, amount comparatives, degrees. 1. Introduction Amount comparatives are usually discussed with respect to their degree or amount interpretation. This reading is exemplified in the comparative in (1), where the elements being compared are the cardinalities corresponding to the sets of books read by John and Mary respectively: (1) John read more books than Mary. |{x : books(x) ∧ John read x}| ≻ |{y : books(y) ∧ Mary read y}| In this paper, I discuss subset comparatives (Grant (to appear); Grant (2013)), a much less studied type of amount comparative illustrated in the Spanish1 example in (2):2 (2) Juan ha leído más libros que El Quijote. -
Interpretations and Mathematical Logic: a Tutorial
Interpretations and Mathematical Logic: a Tutorial Ali Enayat Dept. of Philosophy, Linguistics, and Theory of Science University of Gothenburg Olof Wijksgatan 6 PO Box 200, SE 405 30 Gothenburg, Sweden e-mail: [email protected] 1. INTRODUCTION Interpretations are about `seeing something as something else', an elusive yet intuitive notion that has been around since time immemorial. It was sys- tematized and elaborated by astrologers, mystics, and theologians, and later extensively employed and adapted by artists, poets, and scientists. At first ap- proximation, an interpretation is a structure-preserving mapping from a realm X to another realm Y , a mapping that is meant to bring hidden features of X and/or Y into view. For example, in the context of Freud's psychoanalytical theory [7], X = the realm of dreams, and Y = the realm of the unconscious; in Khayaam's quatrains [11], X = the metaphysical realm of theologians, and Y = the physical realm of human experience; and in von Neumann's foundations for Quantum Mechanics [14], X = the realm of Quantum Mechanics, and Y = the realm of Hilbert Space Theory. Turning to the domain of mathematics, familiar geometrical examples of in- terpretations include: Khayyam's interpretation of algebraic problems in terms of geometric ones (which was the remarkably innovative element in his solution of cubic equations), Descartes' reduction of Geometry to Algebra (which moved in a direction opposite to that of Khayyam's aforementioned interpretation), the Beltrami-Poincar´einterpretation of hyperbolic geometry within euclidean geom- etry [13]. Well-known examples in mathematical analysis include: Dedekind's interpretation of the linear continuum in terms of \cuts" of the rational line, Hamilton's interpertation of complex numbers as points in the Euclidean plane, and Cauchy's interpretation of real-valued integrals via complex-valued ones using the so-called contour method of integration in complex analysis. -
In Defense of Massive Modularity
3 In Defense of Massive Modularity Dan Sperber In October 1990, a psychologist, Susan Gelman, and three anthropolo- gists whose interest in cognition had been guided and encouraged by Jacques Mehler, Scott Atran, Larry Hirschfeld, and myself, organized a conference on “Cultural Knowledge and Domain Specificity” (see Hirsch- feld and Gelman, 1994). Jacques advised us in the preparation of the conference, and while we failed to convince him to write a paper, he did play a major role in the discussions. A main issue at stake was the degree to which cognitive development, everyday cognition, and cultural knowledge are based on dedicated do- main-specific mechanisms, as opposed to a domain-general intelligence and learning capacity. Thanks in particular to the work of developmental psychologists such as Susan Carey, Rochel Gelman, Susan Gelman, Frank Keil, Alan Leslie, Jacques Mehler, Elizabeth Spelke (who were all there), the issue of domain-specificity—which, of course, Noam Chomsky had been the first to raise—was becoming a central one in cognitive psychol- ogy. Evolutionary psychology, represented at the conference by Leda Cosmides and John Tooby, was putting forward new arguments for seeing human cognition as involving mostly domain- or task-specific evolved adaptations. We were a few anthropologists, far from the main- stream of our discipline, who also saw domain-specific cognitive pro- cesses as both constraining and contributing to cultural development. Taking for granted that domain-specific dispositions are an important feature of human cognition, three questions arise: 1. To what extent are these domain-specific dispositions based on truly autonomous mental mechanisms or “modules,” as opposed to being 48 D. -
Church's Thesis and the Conceptual Analysis of Computability
Church’s Thesis and the Conceptual Analysis of Computability Michael Rescorla Abstract: Church’s thesis asserts that a number-theoretic function is intuitively computable if and only if it is recursive. A related thesis asserts that Turing’s work yields a conceptual analysis of the intuitive notion of numerical computability. I endorse Church’s thesis, but I argue against the related thesis. I argue that purported conceptual analyses based upon Turing’s work involve a subtle but persistent circularity. Turing machines manipulate syntactic entities. To specify which number-theoretic function a Turing machine computes, we must correlate these syntactic entities with numbers. I argue that, in providing this correlation, we must demand that the correlation itself be computable. Otherwise, the Turing machine will compute uncomputable functions. But if we presuppose the intuitive notion of a computable relation between syntactic entities and numbers, then our analysis of computability is circular.1 §1. Turing machines and number-theoretic functions A Turing machine manipulates syntactic entities: strings consisting of strokes and blanks. I restrict attention to Turing machines that possess two key properties. First, the machine eventually halts when supplied with an input of finitely many adjacent strokes. Second, when the 1 I am greatly indebted to helpful feedback from two anonymous referees from this journal, as well as from: C. Anthony Anderson, Adam Elga, Kevin Falvey, Warren Goldfarb, Richard Heck, Peter Koellner, Oystein Linnebo, Charles Parsons, Gualtiero Piccinini, and Stewart Shapiro. I received extremely helpful comments when I presented earlier versions of this paper at the UCLA Philosophy of Mathematics Workshop, especially from Joseph Almog, D. -
6.5 the Recursion Theorem
6.5. THE RECURSION THEOREM 417 6.5 The Recursion Theorem The recursion Theorem, due to Kleene, is a fundamental result in recursion theory. Theorem 6.5.1 (Recursion Theorem, Version 1 )Letϕ0,ϕ1,... be any ac- ceptable indexing of the partial recursive functions. For every total recursive function f, there is some n such that ϕn = ϕf(n). The recursion Theorem can be strengthened as follows. Theorem 6.5.2 (Recursion Theorem, Version 2 )Letϕ0,ϕ1,... be any ac- ceptable indexing of the partial recursive functions. There is a total recursive function h such that for all x ∈ N,ifϕx is total, then ϕϕx(h(x)) = ϕh(x). 418 CHAPTER 6. ELEMENTARY RECURSIVE FUNCTION THEORY A third version of the recursion Theorem is given below. Theorem 6.5.3 (Recursion Theorem, Version 3 ) For all n ≥ 1, there is a total recursive function h of n +1 arguments, such that for all x ∈ N,ifϕx is a total recursive function of n +1arguments, then ϕϕx(h(x,x1,...,xn),x1,...,xn) = ϕh(x,x1,...,xn), for all x1,...,xn ∈ N. As a first application of the recursion theorem, we can show that there is an index n such that ϕn is the constant function with output n. Loosely speaking, ϕn prints its own name. Let f be the recursive function such that f(x, y)=x for all x, y ∈ N. 6.5. THE RECURSION THEOREM 419 By the s-m-n Theorem, there is a recursive function g such that ϕg(x)(y)=f(x, y)=x for all x, y ∈ N. -
April 22 7.1 Recursion Theorem
CSE 431 Theory of Computation Spring 2014 Lecture 7: April 22 Lecturer: James R. Lee Scribe: Eric Lei Disclaimer: These notes have not been subjected to the usual scrutiny reserved for formal publications. They may be distributed outside this class only with the permission of the Instructor. An interesting question about Turing machines is whether they can reproduce themselves. A Turing machine cannot be be defined in terms of itself, but can it still somehow print its own source code? The answer to this question is yes, as we will see in the recursion theorem. Afterward we will see some applications of this result. 7.1 Recursion Theorem Our end goal is to have a Turing machine that prints its own source code and operates on it. Last lecture we proved the existence of a Turing machine called SELF that ignores its input and prints its source code. We construct a similar proof for the recursion theorem. We will also need the following lemma proved last lecture. ∗ ∗ Lemma 7.1 There exists a computable function q :Σ ! Σ such that q(w) = hPwi, where Pw is a Turing machine that prints w and hats. Theorem 7.2 (Recursion theorem) Let T be a Turing machine that computes a function t :Σ∗ × Σ∗ ! Σ∗. There exists a Turing machine R that computes a function r :Σ∗ ! Σ∗, where for every w, r(w) = t(hRi; w): The theorem says that for an arbitrary computable function t, there is a Turing machine R that computes t on hRi and some input. Proof: We construct a Turing Machine R in three parts, A, B, and T , where T is given by the statement of the theorem. -
Introduction ROBERT AUNGER a Number of Prominent Academics
CHAPTER 1: Introduction ROBERT AUNGER A number of prominent academics have recently argued that we are entering a period in which evolutionary theory is being applied to every conceivable domain of inquiry. Witness the development of fields such as evolutionary ecology (Krebs and Davies 1997), evolutionary economics (Nelson and Winter 1982), evolutionary psychology (Barkow et al. 1992), evolutionary linguistics (Pinker 1994) and literary theory (Carroll 1995), evolutionary epistemology (Callebaut and Pinxten 1987), evolutionary computational science (Koza 1992), evolutionary medicine (Nesse and Williams 1994) and psychiatry (McGuire and Troisi 1998) -- even evolutionary chemistry (Wilson and Czarnik 1997) and evolutionary physics (Smolin 1997). Such developments certainly suggest that Darwin’s legacy continues to grow. The new millennium can therefore be called the Age of Universal Darwinism (Dennett 1995; Cziko 1995). What unifies these approaches? Dan Dennett (1995) has argued that Darwin’s “dangerous idea” is an abstract algorithm, often called the “replicator dynamic.” This dynamic consists of repeated iterations of selection from among randomly mutating replicators. Replicators, in turn, are units of information with the ability to reproduce themselves using resources from some material substrate. Couched in these terms, the evolutionary process is obviously quite general. for example, the replicator dynamic, when played out on biological material such as DNA, is called natural selection. But Dennett suggests there are essentially no limits to the phenomena which can be treated using this algorithm, although there will be variation in the degree to which such treatment leads to productive insights. The primary hold-out from “evolutionarization,” it seems, is the social sciences. Twenty-five years have now passed since the biologist Richard Dawkins introduced the notion of a meme, or an idea that becomes commonly shared through social transmission, into the scholastic lexicon. -
Review of Jerry Fodor, the Mind Doesn't Work That Way
The Mind Doesn't Work That Way: The Scope and Limits of Computational Psychology (review) Ray Jackendoff Language, Volume 78, Number 1, March 2002, pp. 164-170 (Review) Published by Linguistic Society of America DOI: https://doi.org/10.1353/lan.2002.0024 For additional information about this article https://muse.jhu.edu/article/19286 [ Access provided at 10 May 2020 20:12 GMT from Linguistic Society of America ] 164 LANGUAGE, VOLUME 78, NUMBER 1 (2002) malist studies as the brief summary of the chapters has hopefully shown. All articles complement the work of the festschrift’s honoree, are well-written, and contain interesting data as well as intriguing analyses, pushing the minimalist spirit further ahead. REFERENCES BOSˇKOVIC´,Zˇ ELJKO. 1994. D-structure, theta-criterion, and movement into theta-positions. Linguistic Analysis 24.247–86. MM. 1997. Superiority effects with multiple wh-fronting in Serbo-Croatian. Lingua 102.1–20. CHOMSKY,NOAM. 1995. The minimalist program. Cambridge, MA: MIT Press. MM. 2001. Derivation by phase. Ken Hale: A life in language, ed. by Michael Kenstowicz, 1–52. Cambridge, MA: MIT Press. GRIMSHAW,JANE, and ARMIN MESTER. 1988. Light verbs and -marking. Linguistic Inquiry 19.205–32. HORNSTEIN,NORBERT. 1995. Logical form: From GB to minimalism. Oxford: Blackwell. KAYNE,RICHARD S. 1994. The antisymmetry of syntax. Cambridge, MA: MIT Press. ZAS Ja¨gerstr. 10–11 10117 Berlin Germany [[email protected]] The mind doesn’t work that way: Thescopeand limits of computational psychology. By JERRY FODOR. Cambridge, MA: MIT Press, 2000. Pp. 126. Reviewed by RAY JACKENDOFF, Brandeis University* As has been his wont in recent years, Jerry Fodor offers here a statement of deepest pessimism about the possibility of doing cognitive science except in a very limited class of subdomains. -
The Logic of Recursive Equations Author(S): A
The Logic of Recursive Equations Author(s): A. J. C. Hurkens, Monica McArthur, Yiannis N. Moschovakis, Lawrence S. Moss, Glen T. Whitney Source: The Journal of Symbolic Logic, Vol. 63, No. 2 (Jun., 1998), pp. 451-478 Published by: Association for Symbolic Logic Stable URL: http://www.jstor.org/stable/2586843 . Accessed: 19/09/2011 22:53 Your use of the JSTOR archive indicates your acceptance of the Terms & Conditions of Use, available at . http://www.jstor.org/page/info/about/policies/terms.jsp JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact [email protected]. Association for Symbolic Logic is collaborating with JSTOR to digitize, preserve and extend access to The Journal of Symbolic Logic. http://www.jstor.org THE JOURNAL OF SYMBOLIC LOGIC Volume 63, Number 2, June 1998 THE LOGIC OF RECURSIVE EQUATIONS A. J. C. HURKENS, MONICA McARTHUR, YIANNIS N. MOSCHOVAKIS, LAWRENCE S. MOSS, AND GLEN T. WHITNEY Abstract. We study logical systems for reasoning about equations involving recursive definitions. In particular, we are interested in "propositional" fragments of the functional language of recursion FLR [18, 17], i.e., without the value passing or abstraction allowed in FLR. The 'pure," propositional fragment FLRo turns out to coincide with the iteration theories of [1]. Our main focus here concerns the sharp contrast between the simple class of valid identities and the very complex consequence relation over several natural classes of models. -
A Critical Review of Three Theories for Music's Origin a Thesis Presented
A Critical Review of Three Theories for Music’s Origin A thesis presented to the faculty of the College of Arts and Sciences of Ohio University In partial fulfillment of the requirements for the degree Master of Arts Kevin W. Kondik March 2010 © 2010 Kevin W. Kondik. All Rights Reserved. 2 This thesis titled A Critical Review of Three Theories for Music’s Origin by KEVIN W. KONDIK has been approved for the Department of Philosophy and the College of Arts and Sciences by Arthur Zucker Associate Professor of Philosophy Benjamin M. Ogles Dean, College of Arts and Sciences 3 ABSTRACT KONDIK, KEVIN, W.,, M.A., March 2010, Philosophy A Critical Review of Three Theories for Music’s Origin (82 pp.) Director of Thesis: Arthur Zucker This thesis compares three theories which debate whether or not the trait of music is constitutive of a biological adaptation. Steven Pinker advances a view that music cannot be an adaptation because making or responding to music utilizes faculties which evolved for other reasons. On the next view, Geoffrey Miller claims that music is a sexually selected trait which evolved primarily to seduce potential mates. Finally, Ian Cross argues that music can be seen as an extension of juvenile behaviors into adulthood and has efficacy in the consolidation of bonds within a group. I conclude that all three theories are insufficient as an explanation of why music evolved in the hominid lineage. The main reasons why these theories all fail is they all rely upon a speculative historical reconstructions and imprecise definitions of music. -
How to Build an Interpretation and Use Argument
Timothy S. Brophy Professor and Director, Institutional Assessment How to Build an University of Florida Email: [email protected] Interpretation and Phone: 352‐273‐4476 Use Argument To review the concept of validity as it applies to higher education Today’s Goals Provide a framework for developing an interpretation and use argument for assessments Validity What it is, and how we examine it • Validity refers to the degree to which evidence and theory support the interpretations of the test scores for proposed uses of tests. (p. 11) defined Source: • American Educational Research Association (AERA), American Psychological Association (APA), & National Council on Measurement in Education (NCME). (2014). Standards for educational and psychological testing. Validity Washington, DC: AERA The Importance of Validity The process of validation Validity is, therefore, the most involves accumulating relevant fundamental consideration in evidence to provide a sound developing tests and scientific basis for the proposed assessments. score and assessment results interpretations. (p. 11) Source: AERA, APA, & NCME. (2014). Standards for educational and psychological testing. Washington, DC: AERA • Most often this is qualitative; colleagues are a good resource • Review the evidence How Do We • Common sources of validity evidence Examine • Test Content Validity in • Construct (the idea or theory that supports the Higher assessment) • The validity coefficient Education? Important distinction It is not the test or assessment itself that is validated, but the inferences one makes from the measure based on the context of its use. Therefore it is not appropriate to refer to the ‘validity of the test or assessment’ ‐ instead, we refer to the validity of the interpretation of the results for the test or assessment’s intended purpose.