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Related papers: Circular Induction

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Many properties of communication protocols combine safety and liveness aspects. Characterizing such combined properties by means of a single inference system is difficult because of the fundamentally different techniques (coinduction and…

Logic in Computer Science · Computer Science 2023-06-22 Luca Ciccone , Luca Padovani

We present a coinductive framework for defining and reasoning about the infinitary analogues of equational logic and term rewriting in a uniform, coinductive way. The setup captures rewrite sequences of arbitrary ordinal length, but it has…

Logic in Computer Science · Computer Science 2019-03-14 Jörg Endrullis , Helle Hvid Hansen , Dimitri Hendriks , Andrew Polonsky , Alexandra Silva

Circular and non-wellfounded proofs have become an increasingly popular tool for metalogical treatments of systems with forms of induction and/or recursion. In this work we investigate the expressivity of a variant CT of G\"odel's system T…

Logic in Computer Science · Computer Science 2021-01-19 Anupam Das

Proof scores can be regarded as outlines of the formal verification of system properties. They have been historically used by the OBJ family of specification languages. The main advantage of proof scores is that they follow the same syntax…

Logic in Computer Science · Computer Science 2025-04-22 Adrian Riesco , Kazuhiro Ogata , Masaki Nakamura , Daniel Gaina , Duong Dinh Tran , Kokichi Futatsugi

E prover is a state-of-the-art theorem prover for first-order logic with equality. E prover is built around a saturation loop, where new clauses are derived by inference rules from previously derived clauses. Selection of clauses for the…

Logic in Computer Science · Computer Science 2016-06-14 Jan Jakubův , Josef Urban

Context: Continuous experimentation and A/B testing is an established industry practice that has been researched for more than 10 years. Our aim is to synthesize the conducted research. Objective: We wanted to find the core constituents of…

Software Engineering · Computer Science 2021-02-18 Florian Auer , Rasmus Ros , Lukas Kaltenbrunner , Per Runeson , Michael Felderer

The fundamental challenge of drawing causal inference is that counterfactual outcomes are not fully observed for any unit. Furthermore, in observational studies, treatment assignment is likely to be confounded. Many statistical methods have…

Methodology · Statistics 2022-08-01 Harsh Parikh , Carlos Varjao , Louise Xu , Eric Tchetgen Tchetgen

Despite recent advances in automating theorem proving in full first-order theories, inductive reasoning still poses a serious challenge to state-of-the-art theorem provers. The reason for that is that in first-order logic induction requires…

Logic in Computer Science · Computer Science 2021-07-19 Johannes Schoisswohl , Laura Kovács

We present the CIFF proof procedure for abductive logic programming with constraints, and we prove its correctness. CIFF is an extension of the IFF proof procedure for abductive logic programming, relaxing the original restrictions over…

Artificial Intelligence · Computer Science 2009-06-08 P. Mancarella , G. Terreni , F. Sadri , F. Toni , U. Endriss

We describe a system to prove properties of programs. The key feature of this approach is a method to automatically synthesize inductive invariants of the loops contained in the program. The method is generic, i.e., it applies to a large…

Logic in Computer Science · Computer Science 2019-06-27 Mnacho Echenim , Nicolas Peltier , Yanis Sellami

Much of our experiments are designed to uncover the cause(s) and effect(s) behind a data generating mechanism (i.e., phenomenon) we happen to be interested in. Uncovering such relationships allows us to identify the true working of a…

Machine Learning · Computer Science 2023-07-11 M. Z. Naser

The diverse views of science of security have opened up several alleys towards applying the methods of science to security. We pursue a different kind of connection between science and security. This paper explores the idea that security is…

Cryptography and Security · Computer Science 2015-04-23 Dusko Pavlovic

Over the past two decades, several consistent procedures have been designed to infer causal conclusions from observational data. We prove that if the true causal network might be an arbitrary, linear Gaussian network or a discrete Bayes…

Machine Learning · Computer Science 2012-03-19 Kevin T. Kelly , Conor Mayo-Wilson

Nowadays, the need for causal discovery is ubiquitous. A better understanding of not just the stochastic dependencies between parts of a system, but also the actual cause-effect relations, is essential for all parts of science. Thus, the…

Machine Learning · Computer Science 2024-12-10 Boris Lorbeer , Mustafa Mohsen

Based on various strategies and a new general doubling operator, we obtain several simple proofs of the celebrated Sharkovsky's cycle coexistence theorem. A simple non-directed graph proof which is especially suitable for a calculus course…

Dynamical Systems · Mathematics 2015-04-13 Bau-Sen Du

We consider a reinforcement learning framework where agents have to navigate from start states to goal states. We prove convergence of a cycle-detection learning algorithm on a class of tasks that we call reducible. Reducible tasks have an…

Machine Learning · Computer Science 2016-01-06 Tom J. Ameloot , Jan Van den Bussche

In this article we relate a family of methods for automated inductive theorem proving based on cycle detection in saturation-based provers to well-known theories of induction. To this end we introduce the notion of clause set cycles -- a…

Logic in Computer Science · Computer Science 2023-06-22 Stefan Hetzl , Jannik Vierling

We propose tests for the null hypothesis that the law of a complex-valued random vector is circularly symmetric. The test criteria are formulated as $L^2$-type criteria based on empirical characteristic functions, and they are convenient…

Statistics Theory · Mathematics 2021-03-22 Norbert Henze , Pierre Lafaye de Micheaux , Simos G. Meintanis

Inverse classification is the process of perturbing an instance in a meaningful way such that it is more likely to conform to a specific class. Historical methods that address such a problem are often framed to leverage only a single…

Machine Learning · Computer Science 2017-06-13 Michael T. Lash , Qihang Lin , W. Nick Street , Jennifer G. Robinson , Jeffrey Ohlmann

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