Models of Hypercomputation
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Global Properties of the Turing Degrees and the Turing Jump
Global Properties of the Turing Degrees and the Turing Jump Theodore A. Slaman¤ Department of Mathematics University of California, Berkeley Berkeley, CA 94720-3840, USA [email protected] Abstract We present a summary of the lectures delivered to the Institute for Mathematical Sci- ences, Singapore, during the 2005 Summer School in Mathematical Logic. The lectures covered topics on the global structure of the Turing degrees D, the countability of its automorphism group, and the definability of the Turing jump within D. 1 Introduction This note summarizes the tutorial delivered to the Institute for Mathematical Sciences, Singapore, during the 2005 Summer School in Mathematical Logic on the structure of the Turing degrees. The tutorial gave a survey on the global structure of the Turing degrees D, the countability of its automorphism group, and the definability of the Turing jump within D. There is a glaring open problem in this area: Is there a nontrivial automorphism of the Turing degrees? Though such an automorphism was announced in Cooper (1999), the construction given in that paper is yet to be independently verified. In this pa- per, we regard the problem as not yet solved. The Slaman-Woodin Bi-interpretability Conjecture 5.10, which still seems plausible, is that there is no such automorphism. Interestingly, we can assemble a considerable amount of information about Aut(D), the automorphism group of D, without knowing whether it is trivial. For example, we can prove that it is countable and every element is arithmetically definable. Further, restrictions on Aut(D) lead us to interesting conclusions concerning definability in D. -
Invention, Intension and the Limits of Computation
Minds & Machines { under review (final version pre-review, Copyright Minds & Machines) Invention, Intension and the Limits of Computation Hajo Greif 30 June, 2020 Abstract This is a critical exploration of the relation between two common as- sumptions in anti-computationalist critiques of Artificial Intelligence: The first assumption is that at least some cognitive abilities are specifically human and non-computational in nature, whereas the second assumption is that there are principled limitations to what machine-based computation can accomplish with respect to simulating or replicating these abilities. Against the view that these putative differences between computation in humans and machines are closely re- lated, this essay argues that the boundaries of the domains of human cognition and machine computation might be independently defined, distinct in extension and variable in relation. The argument rests on the conceptual distinction between intensional and extensional equivalence in the philosophy of computing and on an inquiry into the scope and nature of human invention in mathematics, and their respective bearing on theories of computation. Keywords Artificial Intelligence · Intensionality · Extensionality · Invention in mathematics · Turing computability · Mechanistic theories of computation This paper originated as a rather spontaneous and quickly drafted Computability in Europe conference submission. It grew into something more substantial with the help of the CiE review- ers and the author's colleagues in the Philosophy of Computing Group at Warsaw University of Technology, Paula Quinon and Pawe lStacewicz, mediated by an entry to the \Caf´eAleph" blog co-curated by Pawe l. Philosophy of Computing Group, International Center for Formal Ontology (ICFO), Warsaw University of Technology E-mail: [email protected] https://hajo-greif.net; https://tinyurl.com/philosophy-of-computing 2 H. -
Limits on Efficient Computation in the Physical World
Limits on Efficient Computation in the Physical World by Scott Joel Aaronson Bachelor of Science (Cornell University) 2000 A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Computer Science in the GRADUATE DIVISION of the UNIVERSITY of CALIFORNIA, BERKELEY Committee in charge: Professor Umesh Vazirani, Chair Professor Luca Trevisan Professor K. Birgitta Whaley Fall 2004 The dissertation of Scott Joel Aaronson is approved: Chair Date Date Date University of California, Berkeley Fall 2004 Limits on Efficient Computation in the Physical World Copyright 2004 by Scott Joel Aaronson 1 Abstract Limits on Efficient Computation in the Physical World by Scott Joel Aaronson Doctor of Philosophy in Computer Science University of California, Berkeley Professor Umesh Vazirani, Chair More than a speculative technology, quantum computing seems to challenge our most basic intuitions about how the physical world should behave. In this thesis I show that, while some intuitions from classical computer science must be jettisoned in the light of modern physics, many others emerge nearly unscathed; and I use powerful tools from computational complexity theory to help determine which are which. In the first part of the thesis, I attack the common belief that quantum computing resembles classical exponential parallelism, by showing that quantum computers would face serious limitations on a wider range of problems than was previously known. In partic- ular, any quantum algorithm that solves the collision problem—that of deciding whether a sequence of n integers is one-to-one or two-to-one—must query the sequence Ω n1/5 times. -
The Limits of Knowledge: Philosophical and Practical Aspects of Building a Quantum Computer
1 The Limits of Knowledge: Philosophical and practical aspects of building a quantum computer Simons Center November 19, 2010 Michael H. Freedman, Station Q, Microsoft Research 2 • To explain quantum computing, I will offer some parallels between philosophical concepts, specifically from Catholicism on the one hand, and fundamental issues in math and physics on the other. 3 Why in the world would I do that? • I gave the first draft of this talk at the Physics Department of Notre Dame. • There was a strange disconnect. 4 The audience was completely secular. • They couldn’t figure out why some guy named Freedman was talking to them about Catholicism. • The comedic potential was palpable. 5 I Want To Try Again With a rethought talk and broader audience 6 • Mathematics and Physics have been in their modern rebirth for 600 years, and in a sense both sprang from the Church (e.g. Roger Bacon) • So let’s compare these two long term enterprises: - Methods - Scope of Ideas 7 Common Points: Catholicism and Math/Physics • Care about difficult ideas • Agonize over systems and foundations • Think on long time scales • Safeguard, revisit, recycle fruitful ideas and methods Some of my favorites Aquinas Dante Lully Descartes Dali Tolkien • Lully may have been the first person to try to build a computer. • He sought an automated way to distinguish truth from falsehood, doctrine from heresy 8 • Philosophy and religion deal with large questions. • In Math/Physics we also have great overarching questions which might be considered the social equals of: Omniscience, Free Will, Original Sin, and Redemption. -
Thermodynamics of Computation and Linear Stability Limits of Superfluid Refrigeration of a Model Computing Array
Thermodynamics of computation and linear stability limits of superfluid refrigeration of a model computing array Michele Sciacca1;6 Antonio Sellitto2 Luca Galantucci3 David Jou4;5 1 Dipartimento di Scienze Agrarie e Forestali, Universit`adi Palermo, Viale delle Scienze, 90128 Palermo, Italy 2 Dipartimento di Ingegneria Industriale, Universit`adi Salerno, Campus di Fisciano, 84084, Fisciano, Italy 3 Joint Quantum Centre (JQC) DurhamNewcastle, and School of Mathematics and Statistics, Newcastle University, Newcastle upon Tyne, NE1 7RU, United Kingdom 4 Departament de F´ısica,Universitat Aut`onomade Barcelona, 08193 Bellaterra, Catalonia, Spain 5Institut d'Estudis Catalans, Carme 47, Barcelona 08001, Catalonia, Spain 6 Istituto Nazionale di Alta Matematica, Roma 00185 , Italy Abstract We analyze the stability of the temperature profile of an array of computing nanodevices refrigerated by flowing superfluid helium, under variations of temperature, computing rate, and barycentric velocity of helium. It turns out that if the variation of dissipated energy per bit with respect to temperature variations is higher than some critical values, proportional to the effective thermal conductivity of the array, then the steady-state temperature profiles become unstable and refrigeration efficiency is lost. Furthermore, a restriction on the maximum rate of variation of the local computation rate is found. Keywords: Stability analysis; Computer refrigeration; Superfluid helium; Thermodynamics of computation. AMS Subject Classifications: 76A25, (Superfluids (classical aspects)) 80A99. (all'interno di Thermodynamics and heat transfer) 1 Introduction Thermodynamics of computation [1], [2], [3], [4] is a major field of current research. On practical grounds, a relevant part of energy consumption in computers is related to refrigeration costs; indeed, heat dissipation in very miniaturized chips is one of the limiting factors in computation. -
The Limits of Computation & the Computation of Limits: Towards New Computational Architectures
The Limits of Computation & The Computation of Limits: Towards New Computational Architectures An Intensive Program Proposal for Spring/Summer of 2012 Assoc. Prof. Ahmet KOLTUKSUZ, Ph.D. Yaşar University School of Engineering, Dept. Of Computer Engineering Izmir, Turkey The Aim & Rationale To disseminate the acculuted information and knowledge on the limits of the science of computation in such a compact and organized way that no any single discipline and/or department offers in their standard undergrad or graduate curriculums. While the department of Physics evalute the limits of computation in terms of the relative speed of electrons, resistance coefficient of the propagation IC and whether such an activity takes place in a Newtonian domain or in Quantum domain with the Planck measures, It is the assumptions of Leibnitz and Gödel’s incompleteness theorem or even Kolmogorov complexity along with Chaitin for the department of Mathematics. On the other hand, while the department Computer Science would like to find out, whether it is possible to find an algorithm to compute the shortest path in between two nodes of a lattice before the end of the universe, the departments of both Software Engineering and Computer Engineering is on the job of actually creating a Turing machine with an appropriate operating system; which will be executing that long without rolling off to the pitfalls of indefinite loops and/or of indefinite postponoments in its process & memory management routines while having multicore architectures doing parallel execution. All the problems, stemming from the limits withstanding, the new three and possibly more dimensional topological paradigms to the architectures of both hardware and software sound very promising and therefore worth closely examining. -
The Intractable and the Undecidable - Computation and Anticipatory Processes
International JournalThe Intractable of Applied and Research the Undecidable on Information - Computation Technology and Anticipatory and Computing Processes DOI: Mihai Nadin The Intractable and the Undecidable - Computation and Anticipatory Processes Mihai Nadin Ashbel Smith University Professor, University of Texas at Dallas; Director, Institute for Research in Anticipatory Systems. Email id: [email protected]; www.nadin.ws Abstract Representation is the pre-requisite for any form of computation. To understand the consequences of this premise, we have to reconsider computation itself. As the sciences and the humanities become computational, to understand what is processed and, moreover, the meaning of the outcome, becomes critical. Focus on big data makes this understanding even more urgent. A fast growing variety of data processing methods is making processing more effective. Nevertheless these methods do not shed light on the relation between the nature of the process and its outcome. This study in foundational aspects of computation addresses the intractable and the undecidable from the perspective of anticipation. Representation, as a specific semiotic activity, turns out to be significant for understanding the meaning of computation. Keywords: Anticipation, complexity, information, representation 1. INTRODUCTION As intellectual constructs, concepts are compressed answers to questions posed in the process of acquiring and disseminating knowledge about the world. Ill-defined concepts are more a trap into vacuous discourse: they undermine the gnoseological effort, i.e., our attempt to gain knowledge. This is why Occam (to whom the principle of parsimony is attributed) advised keeping them to the minimum necessary. Aristotle, Maimonides, Duns Scotus, Ptolemy, and, later, Newton argued for the same. -
Annals of Pure and Applied Logic Extending and Interpreting
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Annals of Pure and Applied Logic 161 (2010) 775–788 Contents lists available at ScienceDirect Annals of Pure and Applied Logic journal homepage: www.elsevier.com/locate/apal Extending and interpreting Post's programmeI S. Barry Cooper Department of Pure Mathematics, University of Leeds, Leeds LS2 9JT, UK article info a b s t r a c t Article history: Computability theory concerns information with a causal – typically algorithmic – Available online 3 July 2009 structure. As such, it provides a schematic analysis of many naturally occurring situations. Emil Post was the first to focus on the close relationship between information, coded as MSC: real numbers, and its algorithmic infrastructure. Having characterised the close connection 03-02 between the quantifier type of a real and the Turing jump operation, he looked for more 03A05 03D25 subtle ways in which information entails a particular causal context. Specifically, he wanted 03D80 to find simple relations on reals which produced richness of local computability-theoretic structure. To this extent, he was not just interested in causal structure as an abstraction, Keywords: but in the way in which this structure emerges in natural contexts. Post's programme was Computability the genesis of a more far reaching research project. Post's programme In this article we will firstly review the history of Post's programme, and look at two Ershov hierarchy Randomness interesting developments of Post's approach. The first of these developments concerns Turing invariance the extension of the core programme, initially restricted to the Turing structure of the computably enumerable sets of natural numbers, to the Ershov hierarchy of sets. -
Arxiv:1504.03303V2 [Cs.AI] 11 May 2016 U Nryrqie Opyial Rnmtamsae H Iiu En Minimum the Message
Ultimate Intelligence Part II: Physical Complexity and Limits of Inductive Inference Systems Eray Ozkural¨ G¨ok Us Sibernetik Ar&Ge Ltd. S¸ti. Abstract. We continue our analysis of volume and energy measures that are appropriate for quantifying inductive inference systems. We ex- tend logical depth and conceptual jump size measures in AIT to stochas- tic problems, and physical measures that involve volume and energy. We introduce a graphical model of computational complexity that we believe to be appropriate for intelligent machines. We show several asymptotic relations between energy, logical depth and volume of computation for inductive inference. In particular, we arrive at a “black-hole equation” of inductive inference, which relates energy, volume, space, and algorithmic information for an optimal inductive inference solution. We introduce energy-bounded algorithmic entropy. We briefly apply our ideas to the physical limits of intelligent computation in our universe. “Everything must be made as simple as possible. But not simpler.” — Albert Einstein 1 Introduction We initiated the ultimate intelligence research program in 2014 inspired by Seth Lloyd’s similarly titled article on the ultimate physical limits to computa- tion [6], intended as a book-length treatment of the theory of general-purpose AI. In similar spirit to Lloyd’s research, we investigate the ultimate physical lim- its and conditions of intelligence. A main motivation is to extend the theory of intelligence using physical units, emphasizing the physicalism inherent in com- puter science. This is the second installation of the paper series, the first part [13] proposed that universal induction theory is physically complete arguing that the algorithmic entropy of a physical stochastic source is always finite, and argued arXiv:1504.03303v2 [cs.AI] 11 May 2016 that if we choose the laws of physics as the reference machine, the loophole in algorithmic information theory (AIT) of choosing a reference machine is closed. -
THERE IS NO DEGREE INVARIANT HALF-JUMP a Striking
PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 125, Number 10, October 1997, Pages 3033{3037 S 0002-9939(97)03915-4 THERE IS NO DEGREE INVARIANT HALF-JUMP RODNEY G. DOWNEY AND RICHARD A. SHORE (Communicated by Andreas R. Blass) Abstract. We prove that there is no degree invariant solution to Post's prob- lem that always gives an intermediate degree. In fact, assuming definable de- terminacy, if W is any definable operator on degrees such that a <W (a) < a0 on a cone then W is low2 or high2 on a cone of degrees, i.e., there is a degree c such that W (a)00 = a for every a c or W (a)00 = a for every a c. 00 ≥ 000 ≥ A striking phenomenon in the early days of computability theory was that every decision problem for axiomatizable theories turned out to be either decidable or of the same Turing degree as the halting problem (00,thecomplete computably enumerable set). Perhaps the most influential problem in computability theory over the past fifty years has been Post’s problem [10] of finding an exception to this rule, i.e. a noncomputable incomplete computably enumerable degree. The problem has been solved many times in various settings and disguises but the so- lutions always involve specific constructions of strange sets, usually by the priority method that was first developed (Friedberg [2] and Muchnik [9]) to solve this prob- lem. No natural decision problems or sets of any kind have been found that are neither computable nor complete. The question then becomes how to define what characterizes the natural computably enumerable degrees and show that none of them can supply a solution to Post’s problem. -
Uniform Martin's Conjecture, Locally
Uniform Martin's conjecture, locally Vittorio Bard July 23, 2019 Abstract We show that part I of uniform Martin's conjecture follows from a local phenomenon, namely that if a non-constant Turing invariant func- tion goes from the Turing degree x to the Turing degree y, then x ≤T y. Besides improving our knowledge about part I of uniform Martin's con- jecture (which turns out to be equivalent to Turing determinacy), the discovery of such local phenomenon also leads to new results that did not look strictly related to Martin's conjecture before. In particular, we get that computable reducibility ≤c on equivalence relations on N has a very complicated structure, as ≤T is Borel reducible to it. We conclude rais- ing the question Is part II of uniform Martin's conjecture implied by local phenomena, too? and briefly indicating a possible direction. 1 Introduction to Martin's conjecture Providing evidence for the intricacy of the structure (D; ≤T ) of Turing degrees has been arguably one of the main concerns of computability theory since the mid '50s, when the celebrated priority method was discovered. However, some have pointed out that if we restrict our attention to those Turing degrees that correspond to relevant problems occurring in mathematical practice, we see a much simpler structure: such \natural" Turing degrees appear to be well- ordered by ≤T , and there seems to be no \natural" Turing degree strictly be- tween a \natural" Turing degree and its Turing jump. Martin's conjecture is a long-standing open problem whose aim was to provide a precise mathemat- ical formalization of the previous insight. -
Independence Results on the Global Structure of the Turing Degrees by Marcia J
TRANSACTIONS OF THE AMERICAN MATHEMATICAL SOCIETY Volume INDEPENDENCE RESULTS ON THE GLOBAL STRUCTURE OF THE TURING DEGREES BY MARCIA J. GROSZEK AND THEODORE A. SLAMAN1 " For nothing worthy proving can be proven, Nor yet disproven." _Tennyson Abstract. From CON(ZFC) we obtain: 1. CON(ZFC + 2" is arbitrarily large + there is a locally finite upper semilattice of size u2 which cannot be embedded into the Turing degrees as an upper semilattice). 2. CON(ZFC + 2" is arbitrarily large + there is a maximal independent set of Turing degrees of size w,). Introduction. Let ^ denote the set of Turing degrees ordered under the usual Turing reducibility, viewed as a partial order ( 6Î),< ) or an upper semilattice (fy, <,V> depending on context. A partial order (A,<) [upper semilattice (A, < , V>] is embeddable into fy (denoted A -* fy) if there is an embedding /: A -» <$so that a < ft if and only if/(a) </(ft) [and/(a) V /(ft) = /(a V ft)]. The structure of ty was first investigted in the germinal paper of Kleene and Post [2] where A -» ty for any countable partial order A was shown. Sacks [9] proved that A -» öDfor any partial order A which is locally finite (any point of A has only finitely many predecessors) and of size at most 2", or locally countable and of size at most u,. Say X C fy is an independent set of Turing degrees if, whenever x0, xx,...,xn E X and x0 < x, V x2 V • • • Vjcn, there is an / between 1 and n so that x0 = x¡; X is maximal if no proper extension of X is independent.