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Solving Some Geometry Problems of the Náboj 2023 Contest with Automated Deduction in GeoGebra Discovery 利用 GeoGebra 发现中的自动演绎功能解决 Náboj 2023 竞赛中的一些几何问题
Q4 Computer Science Pub Date : 2024-01-20 DOI: 10.4204/EPTCS.398.14
Amela Hota, Zoltán Kovács, Alexander Vujic
In this article, we solve some of the geometry problems of the N'aboj 2023 competition with the help of a computer, using examples that the software tool GeoGebra Discovery can calculate. In each case, the calculation requires symbolic computations. We analyze the difficulty of feeding the problem into the machine and set further goals to make the problems of this type of contests even more tractable in the future.
在本文中,我们使用 GeoGebra Discovery 软件工具可以计算的示例,在计算机的帮助下解决了 N'aboj 2023 竞赛中的一些几何问题。在每种情况下,计算都需要符号计算。我们分析了将问题输入机器的难度,并设定了进一步的目标,以便在未来使这类竞赛的问题更加容易解决。
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引用次数: 0
Considerations on Approaches and Metrics in Automated Theorem Generation/Finding in Geometry 关于几何中自动定理生成/查找的方法和度量标准的思考
Q4 Computer Science Pub Date : 2024-01-20 DOI: 10.4204/EPTCS.398.12
Pedro Quaresma, Pierluigi Graziani, Stefano M. Nicoletti
The pursue of what are properties that can be identified to permit an automated reasoning program to generate and find new and interesting theorems is an interesting research goal (pun intended). The automatic discovery of new theorems is a goal in itself, and it has been addressed in specific areas, with different methods. The separation of the"weeds", uninteresting, trivial facts, from the"wheat", new and interesting facts, is much harder, but is also being addressed by different authors using different approaches. In this paper we will focus on geometry. We present and discuss different approaches for the automatic discovery of geometric theorems (and properties), and different metrics to find the interesting theorems among all those that were generated. After this description we will introduce the first result of this article: an undecidability result proving that having an algorithmic procedure that decides for every possible Turing Machine that produces theorems, whether it is able to produce also interesting theorems, is an undecidable problem. Consequently, we will argue that judging whether a theorem prover is able to produce interesting theorems remains a non deterministic task, at best a task to be addressed by program based in an algorithm guided by heuristics criteria. Therefore, as a human, to satisfy this task two things are necessary: an expert survey that sheds light on what a theorem prover/finder of interesting geometric theorems is, and - to enable this analysis - other surveys that clarify metrics and approaches related to the interestingness of geometric theorems. In the conclusion of this article we will introduce the structure of two of these surveys - the second result of this article - and we will discuss some future work.
要实现自动推理程序生成和发现新的、有趣的定理,需要确定哪些属性,这是一个有趣的研究目标(双关语)。自动发现新定理本身就是一个目标,在一些特定领域,人们已经用不同的方法解决了这个问题。将 "杂草"(无趣、琐碎的事实)与 "麦子"(新颖、有趣的事实)分离出来要难得多,但不同的作者也在使用不同的方法来解决这个问题。本文将重点讨论几何问题。我们将介绍和讨论自动发现几何定理(和性质)的不同方法,以及从所有生成的定理中找出有趣定理的不同度量方法。在这些描述之后,我们将介绍本文的第一个结果:一个不可判定性结果,证明对于每一个可能产生定理的图灵机来说,决定它是否也能产生有趣的定理的算法程序是一个不可判定的问题。因此,我们将论证,判断定理检验器是否能够产生有趣的定理,仍然是一个非确定性任务,充其量是一个需要在启发式标准指导下,通过基于算法的程序来解决的任务。因此,作为人类,要完成这项任务需要两样东西:一是专家调查,以揭示什么是定理证明器/有趣几何定理的发现者;二是其他调查,以阐明与几何定理的趣味性相关的度量标准和方法,从而实现这一分析。在本文的结尾,我们将介绍其中两项调查的结构--这也是本文的第二项成果--并讨论一些未来的工作。
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引用次数: 0
OK Geometry OK 几何
Q4 Computer Science Pub Date : 2024-01-20 DOI: 10.4204/eptcs.398.3
Zlatan Magajna
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引用次数: 0
Formalization, Automatization and Visualization of Hyperbolic Geometry 双曲几何的形式化、自动化和可视化
Q4 Computer Science Pub Date : 2024-01-20 DOI: 10.4204/eptcs.398.2
Filip Marić
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引用次数: 0
Formalization, Arithmetization and Automatization of Geometry 几何形式化、算术化和自动化
Q4 Computer Science Pub Date : 2024-01-20 DOI: 10.4204/eptcs.398.1
Julien Narboux
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引用次数: 0
Automation of Triangle Ruler-and-Compass Constructions Using Constraint Solvers 利用约束求解器实现三角形尺规构造自动化
Q4 Computer Science Pub Date : 2024-01-20 DOI: 10.4204/EPTCS.398.10
Milan Bankovi'c
In this paper, we present an approach to automated solving of triangle ruler-and-compass construction problems using finite-domain constraint solvers. The constraint model is described in the MiniZinc modeling language, and is based on the automated planning. The main benefit of using general constraint solvers for such purpose, instead of developing dedicated tools, is that we can rely on the efficient search that is already implemented within the solver, enabling us to focus on geometric aspects of the problem. We may also use the solver's built-in optimization capabilities to search for the shortest possible constructions. We evaluate our approach on 74 solvable problems from the Wernick's list, and compare it to the dedicated triangle construction solver ArgoTriCS. The results show that our approach is comparable to dedicated tools, while it requires much less effort to implement. Also, our model often finds shorter constructions, thanks to the optimization capabilities offered by the constraint solvers.
在本文中,我们介绍了一种使用有限域约束求解器自动求解三角形尺规构造问题的方法。约束模型用 MiniZinc 建模语言描述,并基于自动规划。使用通用约束求解器而不是开发专用工具的主要好处是,我们可以依靠求解器中已实现的高效搜索,从而专注于问题的几何方面。我们还可以利用求解器的内置优化功能,搜索可能的最短构造。我们在韦尼克列表中的 74 个可解问题上评估了我们的方法,并将其与专用三角形构造求解器 ArgoTriCS 进行了比较。结果表明,我们的方法可与专用工具相媲美,而实施起来却省力得多。此外,由于约束求解器提供了优化功能,我们的模型通常能找到更短的构造。
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引用次数: 0
Showing Proofs, Assessing Difficulty with GeoGebra Discovery 用 GeoGebra 发现显示证明、评估难度
Q4 Computer Science Pub Date : 2024-01-20 DOI: 10.4204/EPTCS.398.8
Z. Kovács, Tom'as Recio, M. P. Vélez
In our contribution we describe some on-going improvements concerning the Automated Reasoning Tools developed in GeoGebra Discovery, providing different examples of the performance of these new features. We describe the new ShowProof command, that outputs both the sequence of the different steps performed by GeoGebra Discovery to confirm a certain statement, as well as a number intending to grade the difficulty or interest of the assertion. The proposal of this assessment measure, involving the comparison of the expression of the thesis (or conclusion) as a combination of the hypotheses, will be developed.
在我们的贡献中,我们描述了在 GeoGebra Discovery 中开发的自动推理工具的一些持续改进,并提供了这些新功能性能的不同示例。我们介绍了新的 ShowProof 命令,该命令既能输出 GeoGebra Discovery 为确认某个陈述而执行的不同步骤的顺序,也能输出一个数字,用于对断言的难度或兴趣进行分级。该评估措施的建议涉及将论文(或结论)的表达方式作为假设的组合进行比较。
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引用次数: 1
Proceedings 14th International Conference on Automated Deduction in Geometry 第 14 届几何自动演绎国际会议论文集
Q4 Computer Science Pub Date : 2024-01-19 DOI: 10.4204/EPTCS.398
Pedro Quaresma, Zolt'an Kov'acs
ADG is a forum to exchange ideas and views, to present research results and progress, and to demonstrate software tools at the intersection between geometry and automated deduction. The conference is held every two years. The previous editions of ADG were held in Hagenberg in 2021 (online, postponed from 2020 due to COVID-19), Nanning in 2018, Strasbourg in 2016, Coimbra in 2014, Edinburgh in 2012, Munich in 2010, Shanghai in 2008, Pontevedra in 2006, Gainesville in 2004, Hagenberg in 2002, Zurich in 2000, Beijing in 1998, and Toulouse in 1996. The 14th edition, ADG 2023, was held in Belgrade, Serbia, in September 20-22, 2023. This edition of ADG had an additional special focus topic, Deduction in Education. Invited Speakers: Julien Narboux, University of Strasbourg, France"Formalisation, arithmetization and automatisation of geometry"; Filip Mari'c, University of Belgrade, Serbia,"Automatization, formalization and visualization of hyperbolic geometry"; Zlatan Magajna, University of Ljubljana, Slovenia,"Workshop OK Geometry"
ADG 是一个交流思想和观点、展示研究成果和进展以及演示几何与自动推导交叉领域软件工具的论坛。会议每两年举行一次。前几届 ADG 分别于 2021 年在哈根贝格(在线,因 COVID-19 而从 2020 年推迟)、2018 年在南宁、2016 年在斯特拉斯堡、2014 年在科英布拉、2012 年在爱丁堡、2010 年在慕尼黑、2008 年在上海、2006 年在庞特韦德拉、2004 年在盖恩斯维尔、2002 年在哈根贝格、2000 年在苏黎世、1998 年在北京以及 1996 年在图卢兹举行。第 14 届 ADG 2023 于 2023 年 9 月 20-22 日在塞尔维亚贝尔格莱德举行。本届 ADG 增设了一个特别关注的主题--教育中的演绎法。特邀发言人Julien Narboux,法国斯特拉斯堡大学,"几何的形式化、算术化和自动化";Filip Mari'c ,塞尔维亚贝尔格莱德大学,"双曲几何的自动化、形式化和可视化";Zlatan Magajna,斯洛文尼亚卢布尔雅那大学,"OK 几何研讨会"。
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引用次数: 0
An Interpretation of E-HA^w inside HA^w 解读 HA^w 内部的 E-HA^w
Q4 Computer Science Pub Date : 2023-11-17 DOI: 10.4204/EPTCS.396.5
Félix Castro
Higher Type Arithmetic (HA$^w$) is a first-order many-sorted theory. It is a conservative extension of Heyting Arithmetic obtained by extending the syntax of terms to all of System T: the objects of interest here are the functionals of higher types. While equality between natural numbers is specified by the axioms of Peano, how can equality between functionals be defined? From this question, different versions of HA$^w$ arise, such as an extensional version (E-HA$^w$) and an intentional version (I-HA$^w$). In this work, we will see how the study of partial equivalence relations leads us to design a translation by parametricity from E-HA$^w$ to HA$^w$.
高级类型算术(HA$^w$)是一种一阶多排序理论。它是海因算术的保守扩展,通过将术语的语法扩展到系统 T 的所有部分而获得:这里感兴趣的对象是高级类型的函数。自然数之间的相等是由皮亚诺公理规定的,那么如何定义函数之间的相等呢?从这个问题出发,产生了不同版本的 HA$^w$,如扩展版本(E-HA$^w$)和意向版本(I-HA$^w$)。在这项工作中,我们将了解部分等价关系的研究如何引导我们设计一种从 E-HA$^w$ 到 HA$^w$ 的参数化转换。
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引用次数: 0
On the Practicality and Soundness of Refinement Types 论精炼类型的实用性和合理性
Q4 Computer Science Pub Date : 2023-11-17 DOI: 10.4204/eptcs.396.1
Niki Vazou
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引用次数: 0
期刊
Electronic Proceedings in Theoretical Computer Science
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