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Machines that can replicate human intelligence with type 2 reasoning capabilities should be able to reason at multiple levels of spatio-temporal abstractions and scales using internal world models. Devising formalisms to develop such…

人工智能 · 计算机科学 2025-07-01 Vaisakh Shaj

We consider the problem of globally minimizing the sum of many rational functions over a given compact semialgebraic set. The number of terms can be large (10 to 100), the degree of each term should be small (up to 10), and the number of…

最优化与控制 · 数学 2011-02-25 Florian Bugarin , Didier Henrion , Jean-Bernard Lasserre

We give simple upper bounds for rational sectional category and use them to compute invariants of the type of Farber's topological complexity of rational spaces. In particular we show that the sectional category of formal morphisms reaches…

代数拓扑 · 数学 2015-03-10 J. G. Carrasquel-Vera

We introduce a new framework for creating point-wise confidence intervals for the distribution of event times for current status data. Existing methods are based on asymptotics. Our framework is based on binomial properties and motivates…

统计方法学 · 统计学 2022-08-17 Sungwook Kim , Michael P. Fay , Michael A. Proschan

This thesis is intended to provide an account of the theory and applications of Operational Methods that allow the "translation" of the theory of special functions and polynomials into a "different" mathematical language. The language we…

经典分析与常微分方程 · 数学 2018-03-09 Silvia Licciardi

Simple representations of documents based on the occurrences of terms are ubiquitous in areas like Information Retrieval, and also frequent in Natural Language Processing. In this work we propose a logical-probabilistic approach to the…

计算与语言 · 计算机科学 2011-06-03 Alvaro Francisco Huertas-Rosero , C. J. van Rijsbergen

Modelling qualitative uncertainty in formal argumentation is essential both for practical applications and theoretical understanding. Yet, most of the existing works focus on \textit{abstract} models for arguing with uncertainty. Following…

人工智能 · 计算机科学 2026-02-18 Carlo Proietti , Antonio Yuste-Ginel

This paper develops the model theory of normal modal logics based on partial "possibilities" instead of total "worlds," following Humberstone (1981) instead of Kripke (1963). Possibility semantics can be seen as extending to modal logic the…

逻辑 · 数学 2025-01-22 Wesley H. Holliday

Defeasible reasoning is a kind of reasoning where some generalisations may not be valid in all circumstances, that is general conclusions may fail in some cases. Various formalisms have been developed to model this kind of reasoning, which…

人工智能 · 计算机科学 2024-03-06 Gabriele Sacco , Loris Bozzato , Oliver Kutz

We present a technique to study normalizing strategies when termination is asymptotic, that is, it appears as a limit, as opposite to reaching a normal form in a finite number of steps. Asymptotic termination occurs in several settings,…

计算机科学中的逻辑 · 计算机科学 2022-05-24 Claudia Faggian , Giulio Guerrieri

Default logic encounters some conceptual difficulties in representing common sense reasoning tasks. We argue that we should not try to formulate modular default rules that are presumed to work in all or most circumstances. We need to take…

人工智能 · 计算机科学 2013-02-08 Choh Man Teng

With the widespread dissemination of user-generated content on different social networks, and online consumer systems such as Amazon, the quantity of opinionated information available on the Internet has been increased. One of the main…

计算与语言 · 计算机科学 2020-11-16 Zeinab Rajabi , MohammadReza Valavi , Maryam Hourali

In many applications of the probabilistic method, one looks to study phenomena that occur ``with high probability''. More recently however, in an attempt to understand some of the most fundamental problems in combinatorics, researchers have…

组合数学 · 数学 2025-12-18 Julian Sahasrabudhe

With the growing popularity of general-purpose Large Language Models (LLMs), comes a need for more global explanations of model behaviors. Concept-based explanations arise as a promising avenue for explaining high-level patterns learned by…

人工智能 · 计算机科学 2024-10-07 Meng Li , Haoran Jin , Ruixuan Huang , Zhihao Xu , Defu Lian , Zijia Lin , Di Zhang , Xiting Wang

We study the maximum of the random assignment process on rectangular matrices. We derive first-order asymptotics for the expected maximum, prove a law of large numbers under mild tail assumptions, and obtain exponential upper bounds for the…

概率论 · 数学 2025-09-23 Timofey Moskalenko

Some abstract argumentation approaches consider that arguments have a degree of uncertainty, which impacts on the degree of uncertainty of the extensions obtained from a abstract argumentation framework (AAF) under a semantics. In these…

人工智能 · 计算机科学 2020-09-21 Mariela Morveli-Espinoza , Juan Carlos Nieves , Cesar Augusto Tacla

We recently described a formalism for reasoning with if-then rules that re expressed with different levels of firmness [18]. The formalism interprets these rules as extreme conditional probability statements, specifying orders of magnitude…

人工智能 · 计算机科学 2013-03-25 Moises Goldszmidt , Judea Pearl

Possibility theory offers a framework where both Lehmann's "preferential inference" and the more productive (but less cautious) "rational closure inference" can be represented. However, there are situations where the second inference does…

人工智能 · 计算机科学 2013-02-18 Salem Benferhat , Didier Dubois , Henri Prade

The concept of typicality refers to properties holding for the "overwhelming majority" of cases and is a fundamental idea of the qualitative approach to dynamical problems. We argue that measure-theoretical typicality would be the adequate…

物理学史与哲学 · 物理学 2007-05-23 Sergio B. Volchan

This paper aims to expand and detail the notion of formal semantics of Conjectures by applying a theoretic-model approach. After a short introduction to the concepts and basics of Conjectures, we will start from the notion of Simple…

计算机科学中的逻辑 · 计算机科学 2021-10-19 Alessio Rolfini