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Related papers: Instantiation Schemes for Nested Theories

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Nested sampling is an important tool for conducting Bayesian analysis in Astronomy and other fields, both for sampling complicated posterior distributions for parameter inference, and for computing marginal likelihoods for model comparison.…

Instrumentation and Methods for Astrophysics · Physics 2021-06-30 Justin Alsing , Will Handley

This work introduces the nested-set Hessian approximation, a second-order approximation method that can be used in any derivative-free optimization routine that requires such information. It is built on the foundation of the generalized…

Optimization and Control · Mathematics 2020-11-06 Warren Hare , Gabriel Jarry-Bolduc , Chayne Planiden

In this paper we study possibilities of interpolation and symbol elimination in extensions of a theory $\mathcal{T}_0$ with additional function symbols whose properties are axiomatised using a set of clauses. We analyze situations in which…

Logic in Computer Science · Computer Science 2023-06-22 Viorica Sofronie-Stokkermans

Recent applications of machine learning and statistical inference provide case studies demonstrating how such approaches can accelerate the discovery process in physical chemistry and related fields. Examples discussed in this review…

Chemical Physics · Physics 2017-06-20 Ryan B. Jadrich , Beth A. Lindquist , Thomas M. Truskett

Deep data types are those that are constructed from other data types, including, possibly, themselves. In this case, they are said to be truly nested. Deep induction is an extension of structural induction that traverses all of the…

Logic in Computer Science · Computer Science 2021-12-08 Patricia Johann , Enrico Ghiorzi

Proximal nested sampling was introduced recently to open up Bayesian model selection for high-dimensional problems such as computational imaging. The framework is suitable for models with a log-convex likelihood, which are ubiquitous in the…

Methodology · Statistics 2023-07-31 Jason D. McEwen , Tobías I. Liaudat , Matthew A. Price , Xiaohao Cai , Marcelo Pereyra

This paper describes a procedure that system developers can follow to translate typical mathematical representations of linearized control systems into logic theories. These theories are then used to verify system requirements and find…

Logic in Computer Science · Computer Science 2021-08-09 Andrea Domenici , Cinzia Bernardeschi

Evidential reasoning is cast as the problem of simplifying the evidence-hypothesis relation and constructing combination formulas that possess certain testable properties. Important classes of evidence as identifiers, annihilators, and…

Artificial Intelligence · Computer Science 2013-04-11 Yizong Cheng , Rangasami L. Kashyap

Previous works by Gor\'e, Postniece and Tiu have provided sound and cut-free complete proof systems for modal logics extended with path axioms using the formalism of nested sequent. Our aim is to provide (i) a constructive cut-elimination…

Logic in Computer Science · Computer Science 2024-06-14 Sonia Marin , Paaras Padhiar

Linear-time computational techniques have been developed for combining evidence which is available on a number of contending hypotheses. They offer a means of making the computation-intensive calculations involved more efficient in certain…

Artificial Intelligence · Computer Science 2012-07-02 Yaxin Bi , Jiwen W. Guan

This chapter provides a comprehensive overview of proof-theoretic methods for establishing interpolation properties across a range of logics, including classical, intuitionistic, modal, and substructural logics. Central to the discussion…

Logic in Computer Science · Computer Science 2026-02-19 Iris van der Giessen , Raheleh Jalali , Roman Kuznets

We formalize the notion of nesting probabilistic programming queries and investigate the resulting statistical implications. We demonstrate that while query nesting allows the definition of models which could not otherwise be expressed,…

Machine Learning · Statistics 2018-07-31 Tom Rainforth

This paper presents a Bayesian method for constructing Bayesian belief networks from a database of cases. Potential applications include computer-assisted hypothesis testing, automated scientific discovery, and automated construction of…

Artificial Intelligence · Computer Science 2013-03-26 Gregory F. Cooper , Edward H. Herskovits

Explicit theory axioms are added by a saturation-based theorem prover as one of the techniques for supporting theory reasoning. While simple and effective, adding theory axioms can also pollute the search space with many irrelevant…

Logic in Computer Science · Computer Science 2020-04-02 Bernhard Gleiss , Martin Suda

We present argumentation schemes to model reasoning with legal cases. We provide schemes for each of the three stages that take place after the facts are established: factor ascription, issue resolution and outcome determination. The…

Artificial Intelligence · Computer Science 2022-10-04 Trevor Bench-Capon , Katie Atkinson

We propose a new approach to sequential testing which is an adaptive (on-line) extension of the (off-line) framework developed in [10]. It relies upon testing of pairs of hypotheses in the case where each hypothesis states that the vector…

Statistics Theory · Mathematics 2017-02-27 Anatoli Juditsky , Arkadi Nemirovski

The method of monotonization of difference schemes is being considered in the paper. The method was earlier proposed by the author for stationary problems. It is investigated in the paper more profoundly. The idea of the method is to build…

Numerical Analysis · Computer Science 2014-03-13 Y. V. Troshchiev

In existing simulation proof techniques, a single step in a lower-level specification may be simulated by an extended execution fragment in a higher-level one. As a result, it is cumbersome to mechanize these techniques using general…

Logic in Computer Science · Computer Science 2018-12-31 W. O. D. Griffioen , F. W. Vaandrager

We develop layered monoidal theories -- a generalisation of monoidal theories combining formal descriptions of a system at different levels of abstraction. Via their representation as string diagrams, monoidal theories provide a graphical…

Logic in Computer Science · Computer Science 2026-02-24 Leo Lobski , Fabio Zanasi

Intuitionistic grammar logics fuse constructive and multi-modal reasoning while permitting the use of converse modalities, serving as a generalization of standard intuitionistic modal logics. In this paper, we provide definitions of these…

Logic in Computer Science · Computer Science 2025-12-04 Tim S. Lyon