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Abstract reasoning, the ability to reason from the abstract essence of a problem, serves as a key to generalization in human reasoning. However, eliciting language models to perform reasoning with abstraction remains unexplored. This paper…

Computation and Language · Computer Science 2024-09-27 Ruixin Hong , Hongming Zhang , Xiaoman Pan , Dong Yu , Changshui Zhang

We describe a Martin-L\"of style dependent type theory, called Cocon, that allows us to mix the intensional function space that is used to represent higher-order abstract syntax (HOAS) trees with the extensional function space that…

Programming Languages · Computer Science 2019-01-14 Brigitte Pientka , Andreas Abel , Francisco Ferreira , David Thibodeau , Rebecca Zucchini

Probabilistic linear discriminant analysis (PLDA) has broad application in open-set verification tasks, such as speaker verification. A key concern for PLDA is that the model is too simple (linear Gaussian) to deal with complicated data;…

Sound · Computer Science 2021-11-25 Di Wang , Lantian Li , Hongzhi Yu , Dong Wang

The symbol grounding problem asks how tokens like cat can be about cats, as opposed to mere shapes manipulated in a calculus. We recast grounding from a binary judgment into an audit across desiderata, each indexed by an evaluation tuple…

Artificial Intelligence · Computer Science 2026-01-01 Daniel Quigley , Eric Maynard

Dung's abstract argumentation theory is a widely used formalism to model conflicting information and to draw conclusions in such situations. Hereby, the knowledge is represented by so-called argumentation frameworks (AFs) and the reasoning…

Artificial Intelligence · Computer Science 2016-04-01 Ringo Baumann , Thomas Linsbichler , Stefan Woltran

Program verifiers for imperative languages such as C may be annotation-based, in which assertions and invariants are put into source files and then checked, or tactic-based, where proof scripts separate from programs are interactively…

Programming Languages · Computer Science 2023-10-27 Litao Zhou , Jianxing Qin , Qinshi Wang , Andrew W. Appel , Qinxiang Cao

Users of program analyses expect that results change predictably in response to changes in their programs, but many analyses fail to provide such robustness. This paper introduces a theoretical framework that provides a unified language to…

Programming Languages · Computer Science 2026-04-14 Zachary Kincaid , Shaowei Zhu

Social abstract argumentation is a principled way to assign values to conflicting (weighted) arguments. In this note we discuss the important property of the uniqueness of the model.

This paper presents an approach for deductive liveness verification for ordinary differential equations (ODEs) with differential dynamic logic. Numerous subtleties complicate the generalization of well-known discrete liveness verification…

Logic in Computer Science · Computer Science 2019-09-04 Yong Kiam Tan , André Platzer

We present a version of arithmetic in all finite types which allows for a definition of equality at higher types for which all congruence are derivable, for which the soundness of the Dialectica interpretation is provable inside the system…

Logic · Mathematics 2016-09-21 Benno van den Berg

A cyclic proof system generalises the standard notion of a proof as a finite tree of locally sound inferences by allowing proof objects to be potentially infinite. Regular infinite proofs can be finitely represented as graphs. To preclude…

Logic in Computer Science · Computer Science 2017-02-15 Reuben N. S. Rowe , James Brotherston

We propose a new bi-intuitionistic type theory called Dualized Type Theory (DTT). It is a simple type theory with perfect intuitionistic duality, and corresponds to a single-sided polarized sequent calculus. We prove DTT strongly…

Logic in Computer Science · Computer Science 2019-03-14 Harley Eades , Aaron Stump , Ryan McCleeary

Given the intractably large size of the space of proofs, any model that is capable of general deductive reasoning must generalize to proofs of greater complexity. Recent studies have shown that large language models (LLMs) possess some…

Computation and Language · Computer Science 2023-11-07 Abulhair Saparov , Richard Yuanzhe Pang , Vishakh Padmakumar , Nitish Joshi , Seyed Mehran Kazemi , Najoung Kim , He He

First-order resolution has been used for type inference for many years, including in Hindley- Milner type inference, type-classes, and constrained data types. Dependent types are a new trend in functional languages. In this paper, we show…

Logic in Computer Science · Computer Science 2018-05-01 František Farka , Ekaterina Komendantskya , Kevin Hammond

While Chain-of-Thought (CoT) prompting enhances the reasoning capabilities of large language models, the faithfulness of the generated rationales remains an open problem for model interpretability. We propose a novel theoretical lens for…

Artificial Intelligence · Computer Science 2025-10-02 Elija Perrier

The ability to precisely derive mathematical objects is a core requirement for downstream STEM applications, including mathematics, physics, and chemistry, where reasoning must culminate in formally structured expressions. Yet, current LM…

We present a straightforward embedding of quantified multimodal logic in simple type theory and prove its soundness and completeness. Modal operators are replaced by quantification over a type of possible worlds. We present simple…

Artificial Intelligence · Computer Science 2009-05-18 Christoph Benzmueller , Lawrence C. Paulson

Lambda calculi with algebraic data types lie at the core of functional programming languages and proof assistants, but conceal at least two fundamental theoretical problems already in the presence of the simplest non-trivial data type, the…

Logic in Computer Science · Computer Science 2019-05-21 Danko Ilik

Deductive methods for the verification of hybrid systems vary on the format of statements in correctness proofs. Building on the example of Hoare triple-based reasoning, we have investigated several such methods for systems described in…

Logic in Computer Science · Computer Science 2017-06-29 Dimitar Guelev , Shuling Wang , Naijun Zhan

We present Proof-of-Perception (PoP), a tool-using framework that casts multimodal reasoning as an executable graph with explicit reliability guarantees. Each perception or logic node outputs a conformal set, yielding calibrated, stepwise…

Computer Vision and Pattern Recognition · Computer Science 2026-03-03 Arya Fayyazi , Haleh Akrami