Results for 'Polynomial time decidability'

998 found
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  1.  2
    Polynomial Time Uniform Word Problems.Stanley Burris - 1995 - Mathematical Logic Quarterly 41 (2):173-182.
    We have two polynomial time results for the uniform word problem for a quasivariety Q: The uniform word problem for Q can be solved in polynomial time iff one can find a certain congruence on finite partial algebras in polynomial time. Let Q* be the relational class determined by Q. If any universal Horn class between the universal closure S and the weak embedding closure S̄ of Q* is finitely axiomatizable then the uniform word (...)
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  2.  4
    Automatic and polynomial-time algebraic structures.Nikolay Bazhenov, Matthew Harrison-Trainor, Iskander Kalimullin, Alexander Melnikov & Keng Meng Ng - 2019 - Journal of Symbolic Logic 84 (4):1630-1669.
    A structure is automatic if its domain, functions, and relations are all regular languages. Using the fact that every automatic structure is decidable, in the literature many decision problems have been solved by giving an automatic presentation of a particular structure. Khoussainov and Nerode asked whether there is some way to tell whether a structure has, or does not have, an automatic presentation. We answer this question by showing that the set of Turing machines that represent automata-presentable structures is ${\rm{\Sigma (...)
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  3.  4
    Strong polynomial-time reducibility.Juichi Shinoda - 1997 - Annals of Pure and Applied Logic 84 (1):97-117.
    The degree structure of functions induced by a polynomial-time reducibility first introduced in G. Miller's work on the complexity of prime factorization is investigated. Several basic results are established including the facts that the degrees restricted to the sets do not form an upper semilattice and there is a minimal degree, as well as density for the low degrees, a weak form of the exact pair theorem, the existence of minimal pairs and the decidability of the Π2 (...)
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  4.  13
    Deciding confluence of certain term rewriting systems in polynomial time.Guillem Godoy, Ashish Tiwari & Rakesh Verma - 2004 - Annals of Pure and Applied Logic 130 (1-3):33-59.
    We present a characterization of confluence for term rewriting systems, which is then refined for special classes of rewriting systems. The refined characterization is used to obtain a polynomial time algorithm for deciding the confluence of ground term rewrite systems. The same approach also shows the decidability of confluence for shallow and linear term rewriting systems. The decision procedure has a polynomial time complexity under the assumption that the maximum arity of a function symbol in (...)
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  5.  10
    Proving theorems of the second order Lambek calculus in polynomial time.Erik Aarts - 1994 - Studia Logica 53 (3):373 - 387.
    In the Lambek calculus of order 2 we allow only sequents in which the depth of nesting of implications is limited to 2. We prove that the decision problem of provability in the calculus can be solved in time polynomial in the length of the sequent. A normal form for proofs of second order sequents is defined. It is shown that for every proof there is a normal form proof with the same axioms. With this normal form we (...)
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  6.  16
    Complexity, Decidability and Completeness.Douglas Cenzer & Jeffrey B. Remmel - 2006 - Journal of Symbolic Logic 71 (2):399 - 424.
    We give resource bounded versions of the Completeness Theorem for propositional and predicate logic. For example, it is well known that every computable consistent propositional theory has a computable complete consistent extension. We show that, when length is measured relative to the binary representation of natural numbers and formulas, every polynomial time decidable propositional theory has an exponential time (EXPTIME) complete consistent extension whereas there is a nondeterministic polynomial time (NP) decidable theory which has no (...)
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  7.  8
    Deciding some Maltsev conditions in finite idempotent algebras.Alexandr Kazda & Matt Valeriote - 2020 - Journal of Symbolic Logic 85 (2):539-562.
    In this paper we investigate the computational complexity of deciding if the variety generated by a given finite idempotent algebra satisfies a special type of Maltsev condition that can be specified using a certain kind of finite labelled path. This class of Maltsev conditions includes several well known conditions, such as congruence permutability and having a sequence of n Jónsson terms, for some given n. We show that for such “path defined” Maltsev conditions, the decision problem is polynomial-time (...)
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  8.  7
    Satisfiability of formulae with one ∀ is decidable in exponential time.Erich Grädel - 1990 - Archive for Mathematical Logic 29 (4):265-276.
    In first order logic without equality, but with arbitrary relations and functions the ∃*∀∃* class is the unique maximal solvable prefix class. We show that the satisfiability problem for this class is decidable in deterministic exponential time The result is established by a structural analysis of a particular infinite subset of the Herbrand universe and by a polynomial space bounded alternating procedure.
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  9.  3
    On the Complexity of Nonassociative Lambek Calculus with Unit.Maria Bulińska - 2009 - Studia Logica 93 (1):1-14.
    Nonassociative Lambek Calculus (NL) is a syntactic calculus of types introduced by Lambek [8]. The polynomial time decidability of NL was established by de Groote and Lamarche [4]. Buszkowski [3] showed that systems of NL with finitely many assumptions are decidable in polynomial time and generate context-free languages; actually the P-TIME complexity is established for the consequence relation of NL. Adapting the method of Buszkowski [3] we prove an analogous result for Nonassociative Lambek Calculus (...)
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  10.  11
    Quantifier elimination for modules with scalar variables.Lou van den Dries & Jan Holly - 1992 - Annals of Pure and Applied Logic 57 (2):161-179.
    Van den Dries, L. and J. Holly, Quantifier elimination for modules with scalar variables, Annals of Pure and Applied Logic 57 161–179. We consider modules as two-sorted structures with scalar variables ranging over the ring. We show that each formula in which all scalar variables are free is equivalent to a formula of a very simple form, uniformly and effectively for all torsion-free modules over gcd domains . For the case of Presburger arithmetic with scalar variables the result takes a (...)
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  11.  41
    Bounded fixed-parameter tractability and reducibility.Rod Downey, Jörg Flum, Martin Grohe & Mark Weyer - 2007 - Annals of Pure and Applied Logic 148 (1):1-19.
    We study a refined framework of parameterized complexity theory where the parameter dependence of fixed-parameter tractable algorithms is not arbitrary, but restricted by a function in some family . For every family of functions, this yields a notion of -fixed-parameter tractability. If is the class of all polynomially bounded functions, then -fixed-parameter tractability coincides with polynomial time decidability and if is the class of all computable functions, -fixed-parameter tractability coincides with the standard notion of fixed-parameter tractability. There (...)
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  12. The enduring scandal of deduction: is propositional logic really uninformative?Marcello D'Agostino & Luciano Floridi - 2009 - Synthese 167 (2):271-315.
    Deductive inference is usually regarded as being “tautological” or “analytical”: the information conveyed by the conclusion is contained in the information conveyed by the premises. This idea, however, clashes with the undecidability of first-order logic and with the (likely) intractability of Boolean logic. In this article, we address the problem both from the semantic and the proof-theoretical point of view. We propose a hierarchy of propositional logics that are all tractable (i.e. decidable in polynomial time), although by means (...)
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  13.  4
    What can be efficiently reduced to the Kolmogorov-random strings?Eric Allender, Harry Buhrman & Michal Koucký - 2006 - Annals of Pure and Applied Logic 138 (1):2-19.
    We investigate the question of whether one can characterize complexity classes in terms of efficient reducibility to the set of Kolmogorov-random strings . This question arises because and , and no larger complexity classes are known to be reducible to in this way. We show that this question cannot be posed without explicitly dealing with issues raised by the choice of universal machine in the definition of Kolmogorov complexity. What follows is a list of some of our main results.• Although (...)
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  14.  8
    On Polynomial-Time Relation Reducibility.Su Gao & Caleb Ziegler - 2017 - Notre Dame Journal of Formal Logic 58 (2):271-285.
    We study the notion of polynomial-time relation reducibility among computable equivalence relations. We identify some benchmark equivalence relations and show that the reducibility hierarchy has a rich structure. Specifically, we embed the partial order of all polynomial-time computable sets into the polynomial-time relation reducibility hierarchy between two benchmark equivalence relations Eλ and id. In addition, we consider equivalence relations with finitely many nontrivial equivalence classes and those whose equivalence classes are all finite.
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  15.  8
    Positive provability logic for uniform reflection principles.Lev Beklemishev - 2014 - Annals of Pure and Applied Logic 165 (1):82-105.
    We deal with the fragment of modal logic consisting of implications of formulas built up from the variables and the constant ‘true’ by conjunction and diamonds only. The weaker language allows one to interpret the diamonds as the uniform reflection schemata in arithmetic, possibly of unrestricted logical complexity. We formulate an arithmetically complete calculus with modalities labeled by natural numbers and ω, where ω corresponds to the full uniform reflection schema, whereas n<ω corresponds to its restriction to arithmetical Πn+1-formulas. This (...)
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  16.  9
    Polynomial time ultrapowers and the consistency of circuit lower bounds.Jan Bydžovský & Moritz Müller - 2020 - Archive for Mathematical Logic 59 (1-2):127-147.
    A polynomial time ultrapower is a structure given by the set of polynomial time computable functions modulo some ultrafilter. They model the universal theory \ of all polynomial time functions. Generalizing a theorem of Hirschfeld :111–126, 1975), we show that every countable model of \ is isomorphic to an existentially closed substructure of a polynomial time ultrapower. Moreover, one can take a substructure of a special form, namely a limit polynomial (...) ultrapower in the classical sense of Keisler Ultrafilters across mathematics, contemporary mathematics vol 530, pp 163–179. AMS, New York, 1963). Using a polynomial time ultrapower over a nonstandard Herbrand saturated model of \ we show that \ is consistent with a formal statement of a polynomial size circuit lower bound for a polynomial time computable function. This improves upon a recent result of Krajíček and Oliveira, 2017). (shrink)
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  17.  13
    The expressive power of fixed-point logic with counting.Martin Otto - 1996 - Journal of Symbolic Logic 61 (1):147-176.
    We study the expressive power in the finite of the logic Fixed-Point+Counting, the extension of first-order logic which is obtained through adding both the fixed-point constructor and the ability to count. To this end an isomorphism preserving (`generic') model of computation is introduced whose PTime restriction exactly corresponds to this level of expressive power, while its PSpace restriction corresponds to While+Counting. From this model we obtain a normal form which shows a rather clear separation of the relational vs. the arithmetical (...)
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  18.  17
    A decision algorithm for linear sentences on a PFM.Lian Li, Huilin Li & Yixun Liu - 1993 - Annals of Pure and Applied Logic 59 (3):273-286.
    By PFM, we mean a finitely generated module over a principal ideal domain; a linear sentence is a sentence that contains no disjunctive and negative symbols. In this paper, we present an algorithm which decides the truth for linear sentences on a given PFM, and we discuss its time complexity. In particular, when the principal ideal domain is the ring of integers or a univariate polynomial ring over the field of rationals, the algorithm is polynomial-time. Finally, (...)
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  19.  7
    Choiceless polynomial time.Andreas Blass, Yuri Gurevich & Saharon Shelah - 1999 - Annals of Pure and Applied Logic 100 (1-3):141-187.
    Turing machines define polynomial time on strings but cannot deal with structures like graphs directly, and there is no known, easily computable string encoding of isomorphism classes of structures. Is there a computation model whose machines do not distinguish between isomorphic structures and compute exactly PTime properties? This question can be recast as follows: Does there exist a logic that captures polynomial time ? Earlier, one of us conjectured a negative answer. The problem motivated a quest (...)
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  20.  11
    Consistency, optimality, and incompleteness.Yijia Chen, Jörg Flum & Moritz Müller - 2013 - Annals of Pure and Applied Logic 164 (12):1224-1235.
    Assume that the problem P0 is not solvable in polynomial time. Let T be a first-order theory containing a sufficiently rich part of true arithmetic. We characterize T∪{ConT} as the minimal extension of T proving for some algorithm that it decides P0 as fast as any algorithm B with the property that T proves that B decides P0. Here, ConT claims the consistency of T. As a byproduct, we obtain a version of Gödelʼs Second Incompleteness Theorem. Moreover, we (...)
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  21.  4
    Typing in reflective combinatory logic.Nikolai Krupski - 2006 - Annals of Pure and Applied Logic 141 (1):243-256.
    We study Artemov’s Reflective Combinatory Logic . We provide the explicit definition of types for and prove that every well-formed term has a unique type. We establish that the typability testing and detailed type restoration can be done in polynomial time and that the derivability relation for is decidable and PSPACE-complete. These results also formalize the intended semantics of the type t:F in . Terms store the complete information about the judgment “t is a term of type F”, (...)
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  22. A first-order policy language for history-based transaction monitoring.Andreas Bauer - unknown
    Online trading invariably involves dealings between strangers, so it is important for one party to be able to judge objectively the trustworthiness of the other. In such a setting, the decision to trust a user may sensibly be based on that user’s past behaviour. We introduce a specification language based on linear temporal logic for expressing a policy for categorising the behaviour patterns of a user depending on its transaction history. We also present an algorithm for checking whether the transaction (...)
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  23.  11
    Choiceless polynomial time, counting and the Cai–Fürer–Immerman graphs.Anuj Dawar, David Richerby & Benjamin Rossman - 2008 - Annals of Pure and Applied Logic 152 (1):31-50.
    We consider Choiceless Polynomial Time , a language introduced by Blass, Gurevich and Shelah, and show that it can express a query originally constructed by Cai, Fürer and Immerman to separate fixed-point logic with counting from image. This settles a question posed by Blass et al. The program we present uses sets of unbounded finite rank: we demonstrate that this is necessary by showing that the query cannot be computed by any program that has a constant bound on (...)
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  24.  6
    Polynomial-time abelian groups.Douglas Cenzer & Jeffrey Remmel - 1992 - Annals of Pure and Applied Logic 56 (1-3):313-363.
    This paper is a continuation of the authors' work , where the main problem considered was whether a given recursive structure is recursively isomorphic to a polynomial-time structure. In that paper, a recursive Abelian group was constructed which is not recursively isomorphic to any polynomial-time Abelian group. We now show that if every element of a recursive Abelian group has finite order, then the group is recursively isomorphic to a polynomial-time group. Furthermore, if the (...)
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  25.  6
    Polynomial-time versus recursive models.Douglas Cenzer & Jeffrey Remmel - 1991 - Annals of Pure and Applied Logic 54 (1):17-58.
    The central problem considered in this paper is whether a given recursive structure is recursively isomorphic to a polynomial-time structure. Positive results are obtained for all relational structures, for all Boolean algebras and for the natural numbers with addition, multiplication and the unary function 2x. Counterexamples are constructed for recursive structures with one unary function and for Abelian groups and also for relational structures when the universe of the structure is fixed. Results are also given which distinguish primitive (...)
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  26. A polynomial time algorithm for determining Dag equivalence in the presence of latent variables and selection bias.Peter Spirtes - unknown
    if and only if for every W in V, W is independent of the set of all its non-descendants conditional on the set of its parents. One natural question that arises with respect to DAGs is when two DAGs are “statistically equivalent”. One interesting sense of “statistical equivalence” is “d-separation equivalence” (explained in more detail below.) In the case of DAGs, d-separation equivalence is also corresponds to a variety of other natural senses of statistical equivalence (such as representing the same (...)
     
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  27.  5
    Polynomial time operations in explicit mathematics.Thomas Strahm - 1997 - Journal of Symbolic Logic 62 (2):575-594.
    In this paper we study (self)-applicative theories of operations and binary words in the context of polynomial time computability. We propose a first order theory PTO which allows full self-application and whose provably total functions on W = {0, 1} * are exactly the polynomial time computable functions. Our treatment of PTO is proof-theoretic and very much in the spirit of reductive proof theory.
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  28.  10
    On polynomial time computation over unordered structures.Andreas Blass, Yuri Gurevich & Saharon Shelah - 2002 - Journal of Symbolic Logic 67 (3):1093-1125.
    This paper is motivated by the question whether there exists a logic capturing polynomial time computation over unordered structures. We consider several algorithmic problems near the border of the known, logically defined complexity classes contained in polynomial time. We show that fixpoint logic plus counting is stronger than might be expected, in that it can express the existence of a complete matching in a bipartite graph. We revisit the known examples that separate polynomial time (...)
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  29.  6
    Polynomial Time Operations in Explicit Mathematics.Thomas Strahm & Andrea Cantini - 2002 - Bulletin of Symbolic Logic 8 (4):534-535.
  30.  1
    Polynomial-time analogues of isolatedness.Leon Harkleroad - 1992 - Annals of Pure and Applied Logic 56 (1-3):173-182.
    Recently, Nerode and Remmel have developed a polynomial-time version of the theory of recursive equivalence types and have defined two analogues of isolatedness for that setting. This paper examines various properties of those two analogues and investigates their relationship to additive cancellability.
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  31. Polynomial Time Operations in Explicit Mathematics.Thomas Strahm - 1997 - Journal of Symbolic Logic 62 (2):575-594.
    In this paper we study -applicative theories of operations and binary words in the context of polynomial time computability. We propose a first order theory PTO which allows full self-application and whose provably total functions on $\mathbb{W} = \{0, 1\}^\ast$ are exactly the polynomial time computable functions. Our treatment of PTO is proof-theoretic and very much in the spirit of reductive proof theory.
     
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  32.  6
    The Analytic Polynomial-Time Hierarchy.Herbert Baier & Klaus W. Wagner - 1998 - Mathematical Logic Quarterly 44 (4):529-544.
    Motivated by results on interactive proof systems we investigate an ∃-∀hierarchy over P using word quantifiers as well as two types of set quantifiers. This hierarchy, which extends the polynomial-time hierarchy, is called the analytic polynomial-time hierarchy. It is shown that every class of this hierarchy coincides with one of the following Classes: ∑math image, Πmath image , PSPACE, ∑math image or Πmath image . This improves previous results by Orponen [6] and allows interesting comparisons with (...)
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  33.  9
    Elementary explicit types and polynomial time operations.Daria Spescha & Thomas Strahm - 2009 - Mathematical Logic Quarterly 55 (3):245-258.
    This paper studies systems of explicit mathematics as introduced by Feferman [9, 11]. In particular, we propose weak explicit type systems with a restricted form of elementary comprehension whose provably terminating operations coincide with the functions on binary words that are computable in polynomial time. The systems considered are natural extensions of the first-order applicative theories introduced in Strahm [19, 20].
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  34.  6
    Non‐associative Lambek Categorial Grammar in Polynomial Time.Erik Aarts & Kees Trautwein - 1995 - Mathematical Logic Quarterly 41 (4):476-484.
    We present a new axiomatization of the non-associative Lambek calculus. We prove that it takes polynomial time to reduce any non-associative Lambek categorial grammar to an equivalent context-free grammar. Since it is possible to recognize a sentence generated by a context-free grammar in polynomial time, this proves that a sentence generated by any non-associative Lambek categorial grammar can be recognized in polynomial time.
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  35.  2
    Polynomial-time Martin-Löf type theory.L. Pe Joseph - 1992 - Archive for Mathematical Logic 32 (2):137-150.
    Fragments of extensional Martin-Löf type theory without universes,ML 0, are introduced that conservatively extend S.A. Cook and A. Urquhart'sIPV ω. A model for these restricted theories is obtained by interpretation in Feferman's theory APP of operators, a natural model of which is the class of partial recursive functions. In conclusion, some examples in group theory are considered.
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  36.  19
    A polynomial time algorithm for Zero-Clairvoyant scheduling.K. Subramani - 2007 - Journal of Applied Logic 5 (4):667-680.
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  37.  5
    Admissible closures of polynomial time computable arithmetic.Dieter Probst & Thomas Strahm - 2011 - Archive for Mathematical Logic 50 (5):643-660.
    We propose two admissible closures $${\mathbb{A}({\sf PTCA})}$$ and $${\mathbb{A}({\sf PHCA})}$$ of Ferreira’s system PTCA of polynomial time computable arithmetic and of full bounded arithmetic (or polynomial hierarchy computable arithmetic) PHCA. The main results obtained are: (i) $${\mathbb{A}({\sf PTCA})}$$ is conservative over PTCA with respect to $${\forall\exists\Sigma^b_1}$$ sentences, and (ii) $${\mathbb{A}({\sf PHCA})}$$ is conservative over full bounded arithmetic PHCA for $${\forall\exists\Sigma^b_{\infty}}$$ sentences. This yields that (i) the $${\Sigma^b_1}$$ definable functions of $${\mathbb{A}({\sf PTCA})}$$ are the polytime functions, and (ii) (...)
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  38.  9
    Infinite Time Decidable Equivalence Relation Theory.Samuel Coskey & Joel David Hamkins - 2011 - Notre Dame Journal of Formal Logic 52 (2):203-228.
    We introduce an analogue of the theory of Borel equivalence relations in which we study equivalence relations that are decidable by an infinite time Turing machine. The Borel reductions are replaced by the more general class of infinite time computable functions. Many basic aspects of the classical theory remain intact, with the added bonus that it becomes sensible to study some special equivalence relations whose complexity is beyond Borel or even analytic. We also introduce an infinite time (...)
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  39.  1
    Reasoning about action in polynomial time.Thomas Drakengren & Marcus Bjäreland - 1999 - Artificial Intelligence 115 (1):1-24.
  40.  3
    Cancellation laws for polynomial-time p-isolated sets.John N. Crossley & J. B. Remmel - 1992 - Annals of Pure and Applied Logic 56 (1-3):147-172.
    A universal Horn sentence in the language of polynomial-time computable combinatorial functions of natural numbers is true for the natural numbers if, and only if, it is true for PETs of p-time p-isolated sets with functions induced by fully p-time combinatorial operators.
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  41.  4
    A near-optimal polynomial time algorithm for learning in certain classes of stochastic games.Ronen I. Brafman & Moshe Tennenholtz - 2000 - Artificial Intelligence 121 (1-2):31-47.
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  42.  6
    Networked bubble propagation: a polynomial-time hypothetical reasoning method for computing near-optimal solutions.Yukio Ohsawa & Mitsuru Ishizuka - 1997 - Artificial Intelligence 91 (1):131-154.
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  43.  42
    Computing the Weighted Isolated Scattering Number of Interval Graphs in Polynomial Time.Fengwei Li, Xiaoyan Zhang, Qingfang Ye & Yuefang Sun - 2019 - Complexity 2019:1-8.
    The scattering number and isolated scattering number of a graph have been introduced in relation to Hamiltonian properties and network vulnerability, and the isolated scattering number plays an important role in characterizing graphs with a fractional 1-factor. Here we investigate the computational complexity of one variant, namely, the weighted isolated scattering number. We give a polynomial time algorithm to compute this parameter of interval graphs, an important subclass of perfect graphs.
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  44. On the difference between polynomial-time many-one and truth-table.Shin Aida, Rainer Schuler, Tatsuie Tsukiji & Osamu Watanabe - 1992 - Complexity 44:193-219.
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  45.  5
    Light affine lambda calculus and polynomial time strong normalization.Kazushige Terui - 2007 - Archive for Mathematical Logic 46 (3-4):253-280.
    Light Linear Logic (LLL) and Intuitionistic Light Affine Logic (ILAL) are logics that capture polynomial time computation. It is known that every polynomial time function can be represented by a proof of these logics via the proofs-as-programs correspondence. Furthermore, there is a reduction strategy which normalizes a given proof in polynomial time. Given the latter polynomial time “weak” normalization theorem, it is natural to ask whether a “strong” form of polynomial (...) normalization theorem holds or not. In this paper, we introduce an untyped term calculus, called Light Affine Lambda Calculus (λLA), which corresponds to ILAL. λLA is a bi-modal λ-calculus with certain constraints, endowed with very simple reduction rules. The main property of LALC is the polynomial time strong normalization: any reduction strategy normalizes a given λLA term in a polynomial number of reduction steps, and indeed in polynomial time. Since proofs of ILAL are structurally representable by terms of λLA, we conclude that the same holds for ILAL. (shrink)
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  46.  8
    Relating the bounded arithmetic and polynomial time hierarchies.Samuel R. Buss - 1995 - Annals of Pure and Applied Logic 75 (1-2):67-77.
    The bounded arithmetic theory S2 is finitely axiomatized if and only if the polynomial hierarchy provably collapses. If T2i equals S2i + 1 then T2i is equal to S2 and proves that the polynomial time hierarchy collapses to ∑i + 3p, and, in fact, to the Boolean hierarchy over ∑i + 2p and to ∑i + 1p/poly.
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  47.  8
    A schematic definition of quantum polynomial time computability.Tomoyuki Yamakami - 2020 - Journal of Symbolic Logic 85 (4):1546-1587.
    In the past four decades, the notion of quantum polynomial-time computability has been mathematically modeled by quantum Turing machines as well as quantum circuits. This paper seeks the third model, which is a quantum analogue of the schematic definition of recursive functions. For quantum functions mapping finite-dimensional Hilbert spaces to themselves, we present such a schematic definition, composed of a small set of initial quantum functions and a few construction rules that dictate how to build a new quantum (...)
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  48.  8
    Light affine set theory: A naive set theory of polynomial time.Kazushige Terui - 2004 - Studia Logica 77 (1):9 - 40.
    In [7], a naive set theory is introduced based on a polynomial time logical system, Light Linear Logic (LLL). Although it is reasonably claimed that the set theory inherits the intrinsically polytime character from the underlying logic LLL, the discussion there is largely informal, and a formal justification of the claim is not provided sufficiently. Moreover, the syntax is quite complicated in that it is based on a non-traditional hybrid sequent calculus which is required for formulating LLL.In this (...)
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  49.  9
    The algebraic structure of the isomorphic types of tally, polynomial time computable sets.Yongge Wang - 2002 - Archive for Mathematical Logic 41 (3):215-244.
    We investigate the polynomial time isomorphic type structure of (the class of tally, polynomial time computable sets). We partition P T into six parts: D −, D^ − , C, S, F, F^, and study their p-isomorphic properties separately. The structures of , , and are obvious, where F, F^, and C are the class of tally finite sets, the class of tally co-finite sets, and the class of tally bi-dense sets respectively. The following results for (...)
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  50.  2
    Real‐Time Decidability, Computability, Countability and Generability.Renata Ochranová‐Doleželová - 1968 - Mathematical Logic Quarterly 14 (18):283-288.
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