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相关论文: Defeasible Reasoning in OSCAR

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It is widely acknowledged that transparency of automated decision making is crucial for deployability of intelligent systems, and explaining the reasons why some decisions are "good" and some are not is a way to achieving this transparency.…

人工智能 · 计算机科学 2022-01-25 Xiuyi Fan , Francesca Toni

We define an inference system to capture explanations based on causal statements, using an ontology in the form of an IS-A hierarchy. We first introduce a simple logical language which makes it possible to express that a fact causes another…

人工智能 · 计算机科学 2010-05-02 Philippe Besnard , Marie-Odile Cordier , Yves Moinard

The theory of causal fermion systems is an approach to describe fundamental physics. We here introduce the mathematical framework and give an overview of the objectives and current results.

数学物理 · 物理学 2016-05-19 Felix Finster

This paper offers an approach to extensible knowledge representation and reasoning for a family of formalisms known as Description Logics. The approach is based on the notion of adding new concept constructors, and includes a heuristic…

人工智能 · 计算机科学 2011-05-30 A. Borgida

This paper presents an efficient adaptation and application of the Dempster-Shafer theory of evidence, one that can be used effectively in a massively parallel hierarchical system for visual pattern perception. It describes the techniques…

人工智能 · 计算机科学 2013-04-12 Ze-Nian Li , Leonard Uhr

There are several contexts of non-monotonic reasoning where a priority between rules is established whose purpose is preventing conflicts. One formalism that has been widely employed for non-monotonic reasoning is the sceptical one known as…

人工智能 · 计算机科学 2012-11-26 Guido Governatori , Francesco Olivieri , Simone Scannapieco , Matteo Cristani

The need for systems to explain behavior to users has become more evident with the rise of complex technology like machine learning or self-adaptation. In general, the need for an explanation arises when the behavior of a system does not…

软件工程 · 计算机科学 2021-08-16 Mersedeh Sadeghi , Verena Klös , Andreas Vogelsang

In this work, we argue for the importance of causal reasoning in creating fair algorithms for decision making. We give a review of existing approaches to fairness, describe work in causality necessary for the understanding of causal…

人工智能 · 计算机科学 2018-05-16 Joshua R. Loftus , Chris Russell , Matt J. Kusner , Ricardo Silva

Continued fractions are used to give an alternate proof of $e^{x/y}$ is irrational.

历史与综述 · 数学 2021-04-14 Sourangshu Ghosh

In this note we give a wellfoundedness proof of a computable notation system for first-order reflection.

逻辑 · 数学 2019-04-03 Toshiyasu Arai

As probabilistic systems gain popularity and are coming into wider use, the need for a mechanism that explains the system's findings and recommendations becomes more critical. The system will also need a mechanism for ordering competing…

人工智能 · 计算机科学 2013-02-08 Urszula Chajewska , Joseph Y. Halpern

Argumentation is the process of constructing arguments about propositions, and the assignment of statements of confidence to those propositions based on the nature and relative strength of their supporting arguments. The process is modelled…

人工智能 · 计算机科学 2013-03-08 John Fox , Paul J. Krause , Morten Elvang-Gøransson

Argumentation is one of the most popular approaches of defining a~non-monotonic formalism and several argumentation based semantics were proposed for defeasible logic programs. Recently, a new approach based on notions of conflict…

人工智能 · 计算机科学 2014-04-29 Jozef Frtús

Mathematical optimization offers highly-effective tools for finding solutions for problems with well-defined goals, notably scheduling. However, optimization solvers are often unexplainable black boxes whose solutions are inaccessible to…

人工智能 · 计算机科学 2019-02-21 Kristijonas Čyras , Dimitrios Letsios , Ruth Misener , Francesca Toni

Recently, recommender system (RS) based on causal inference has gained much attention in the industrial community, as well as the states of the art performance in many prediction and debiasing tasks. Nevertheless, a unified causal analysis…

信息检索 · 计算机科学 2022-05-19 Peng Wu , Haoxuan Li , Yuhao Deng , Wenjie Hu , Quanyu Dai , Zhenhua Dong , Jie Sun , Rui Zhang , Xiao-Hua Zhou

Defeasibility in causal reasoning implies that the causal relationship between cause and effect can be strengthened or weakened. Namely, the causal strength between cause and effect should increase or decrease with the incorporation of…

计算与语言 · 计算机科学 2024-06-28 Shaobo Cui , Lazar Milikic , Yiyang Feng , Mete Ismayilzada , Debjit Paul , Antoine Bosselut , Boi Faltings

I consider decision-making constrained by considerations of morality, rationality, or other virtues. The decision maker (DM) has a true preference over outcomes, but feels compelled to choose among outcomes that are top-ranked by some…

理论经济学 · 经济学 2020-03-17 Sarah Ridout

The paper is devoted to the introduction of natural deduction systems for some weak subintuitionistic logics, along with proofs of normalization theorems for these systems.

逻辑 · 数学 2024-12-03 Fatemeh Shirmohammadzadeh Maleki

The importance of transformations and normal forms in logic programming, and generally in computer science, is well documented. This paper investigates transformations and normal forms in the context of Defeasible Logic, a simple but…

计算机科学中的逻辑 · 计算机科学 2021-02-16 G. Antoniou , D. Billington , G. Governatori , M. J. Maher

This paper studies the problem of state estimation for linear time-invariant descriptor systems in their most general form. The estimator is a system of ordinary differential equations (ODEs). We introduce the notion of partial causal…

最优化与控制 · 数学 2024-05-14 Juhi Jaiswal , Thomas Berger , Nutan K. Tomar