English
Related papers

Related papers: A strong intuitionistic theory of functionals

200 papers

Using ideas from synthetic topology, a new approach to descriptive set theory is suggested. Synthetic descriptive set theory promises elegant explanations for various phenomena in both classic and effective descriptive set theory.…

Logic in Computer Science · Computer Science 2014-06-03 Arno Pauly , Matthew de Brecht

It is useful to have a criterion for when the predictions of an operational theory should be considered classically explainable. Here we take the criterion to be that the theory admits of a generalized-noncontextual ontological model.…

Quantum Physics · Physics 2024-03-14 David Schmid , John H. Selby , Matthew F. Pusey , Robert W. Spekkens

A logic-enriched type theory (LTT) is a type theory extended with a primitive mechanism for forming and proving propositions. We construct two LTTs, named LTTO and LTTO*, which we claim correspond closely to the classical predicative…

Logic in Computer Science · Computer Science 2010-08-19 Robin Adams , Zhaohui Luo

We begin with a context more general than set theory. The basic ingredients are essentially the object and functor primitives of category theory, and the logic is weak, requiring neither the Law of Excluded Middle nor quantification. Inside…

Logic · Mathematics 2023-06-05 Frank Quinn

Reasoning on large and complex real-world models is a computationally difficult task, yet one that is required for effective use of many AI applications. A plethora of inference algorithms have been developed that work well on specific…

Artificial Intelligence · Computer Science 2016-06-13 Avi Pfeffer , Brian Ruttenberg , William Kretschmer

We present an illative system I_s of classical higher-order logic with subtyping and basic inductive types. The system I_s allows for direct definitions of partial and general recursive functions, and provides means for handling functions…

Logic in Computer Science · Computer Science 2013-01-14 Łukasz Czajka

Large language models exhibit intelligence without genuine epistemic understanding, exposing a key gap: the absence of epistemic architecture. This paper introduces the Structured Cognitive Loop (SCL) as an executable epistemological…

Artificial Intelligence · Computer Science 2025-12-12 Myung Ho Kim

This paper introduces the Theory of the Unique Latent Pattern (ULP), a formal epistemic framework that redefines the origin of apparent complexity in dynamic systems. Rather than attributing unpredictability to intrinsic randomness or…

Artificial Intelligence · Computer Science 2025-05-27 Mohamed Aly Bouke

Simple type theory is formulated for use with the generic theorem prover Isabelle. This requires explicit type inference rules. There are function, product, and subset types, which may be empty. Descriptions (the eta-operator) introduce the…

Logic in Computer Science · Computer Science 2008-02-03 Lawrence C. Paulson

In this paper, we study a natural extension of Multi-Layer Perceptrons (MLP) to functional inputs. We show that fundamental results for classical MLP can be extended to functional MLP. We obtain universal approximation results that show the…

Neural and Evolutionary Computing · Computer Science 2007-09-25 Fabrice Rossi , Brieuc Conan-Guez

In this paper we examine the natural interpretation of a ramified type hierarchy into Martin-L\"of type theory with an infinite sequence of universes. It is shown that under this predicative interpretation some useful special cases of…

Logic · Mathematics 2017-04-25 Erik Palmgren

Curry-Howard correspondences between Linear Logic (LL) and session types provide a firm foundation for concurrent processes. As the correspondences hold for intuitionistic and classic versions of LL (ILL and CLL), we obtain two different…

Logic in Computer Science · Computer Science 2024-07-23 Juan C. Jaramillo , Dan Frumin , Jorge A. Pérez

Following the types-as-sets paradigm, we present a mechanized embedding of dependent function types with a hierarchy of universes into schematic first-order logic with equality, with axiom schemas of Tarski-Grothendieck set theory. We carry…

Logic in Computer Science · Computer Science 2026-03-16 Yunsong Yang , Simon Guilloud , Viktor Kunčak

We develop an axiomatic set theory -- the Theory of Hyperfinite Sets THS, which is based on the idea of existence of proper subclasses of big finite sets. We demonstrate how theorems of classical continuous mathematics can be transfered to…

Logic · Mathematics 2007-05-23 P. V. Andreev , E. I. Gordon

Bishop's informal set theory is briefly discussed and compared to Lawvere's Elementary Theory of the Category of Sets (ETCS). We then present a constructive and predicative version of ETCS, whose standard model is based on the constructive…

Logic · Mathematics 2012-01-31 Erik Palmgren

We address the problem of learning human-interpretable descriptions of a complex system from a finite set of positive and negative examples of its behavior. In contrast to most of the recent work in this area, which focuses on descriptions…

Machine Learning · Computer Science 2020-02-11 Rajarshi Roy , Dana Fisman , Daniel Neider

Native type systems are those in which type constructors are derived from term constructors, as well as the constructors of predicate logic and intuitionistic type theory. We present a method to construct native type systems for a broad…

Logic in Computer Science · Computer Science 2022-11-04 Christian Williams , Michael Stay

Comparative constructions pose a challenge in Natural Language Inference (NLI), which is the task of determining whether a text entails a hypothesis. Comparatives are structurally complex in that they interact with other linguistic…

Computation and Language · Computer Science 2020-05-19 Izumi Haruta , Koji Mineshima , Daisuke Bekki

It is known that one can construct non-parametric functions by assuming classical axioms. Our work is a converse to that: we prove classical axioms in dependent type theory assuming specific instances of non-parametricity. We also address…

Logic in Computer Science · Computer Science 2017-06-28 Auke Bart Booij , Martín Hötzel Escardó , Peter LeFanu Lumsdaine , Michael Shulman

The ability to learn new visual concepts from limited examples is a hallmark of human cognition. While traditional category learning models represent each example as an unstructured feature vector, compositional concept learning is thought…

Computer Vision and Pattern Recognition · Computer Science 2025-05-16 Andrew Jun Lee , Taylor Webb , Trevor Bihl , Keith Holyoak , Hongjing Lu