Results 31 to 40 of about 1,423 (254)

Formalization in PVS of Balancing Properties Necessary for Proving Security of the Dolev-Yao Cascade Protocol Model

open access: yesJournal of Formalized Reasoning, 2013
In this work, we present an algebraic approach for modeling the two-party cascade protocol of Dolev-Yao and for fully formalizing its security in the specification language of the Prototype Verification System PVS.
Mauricio Ayala-Rincón, Yuri Santos Rego
doaj   +1 more source

Automated Generation of User Guidance by Combining Computation and Deduction [PDF]

open access: yesElectronic Proceedings in Theoretical Computer Science, 2012
Herewith, a fairly old concept is published for the first time and named "Lucas Interpretation". This has been implemented in a prototype, which has been proved useful in educational practice and has gained academic relevance with an emerging generation ...
Walther Neuper
doaj   +1 more source

Rewrite Rules and Simplification of Matrix Expressions [PDF]

open access: yesComputer Science Journal of Moldova, 1996
This paper concerns the automated simplification of expressions which involve non-commuting variables. The technology has been applied to the simplification of matrix and operator theory expressions which arise in engineering applications.
John J Wavrik
doaj  

A Perspective on Interactive Theorem Provers in Physics

open access: yesAdvanced Science, EarlyView.
Into an interactive theorem provers (ITPs), one can write mathematical definitions, theorems and proofs, and the correctness of those results is automatically checked. This perspective goes over the best usage of ITPs within physics and motivates the open‐source community run project PhysLean, the aim of which is to be a library for digitalized physics
Joseph Tooby‐Smith
wiley   +1 more source

Automatic Generation of Proof Tactics for Finite-Valued Logics [PDF]

open access: yesElectronic Proceedings in Theoretical Computer Science, 2010
A number of flexible tactic-based logical frameworks are nowadays available that can implement a wide range of mathematical theories using a common higher-order metalanguage.
João Marcos
doaj   +1 more source

Adversarial Learning to Reason in an Arbitrary Logic

open access: yesProceedings of the International Florida Artificial Intelligence Research Society Conference, 2022
Existing approaches to learning to prove theorems focus on particular logics and datasets. In this work, we propose Monte-Carlo simulations guided by reinforcement learning that can work in an arbitrarily specified logic, without any human knowledge or ...
Stanisław Purgał, Cezary Kaliszyk
doaj   +1 more source

Spectrally Engineered Greenhouse Cool Cover for Energy and Water Efficiency in Diverse Climates

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
A spectrally selective multilayer cool cover reflects NIR and transmits photosynthetically active radiation to reduce cooling demand while maintaining crop productivity. Designed for hot climates, it enhances energy and water efficiency in greenhouses.
Amrit Kumar Thakur   +3 more
wiley   +1 more source

Commutativity Theorems in Groups with Power-like Maps

open access: yesJournal of Formalized Reasoning, 2019
There are several commutativity theorems in groups and rings which involve power maps f(x) = xn. The most famous example  of this kind is Jacobson's theorem which asserts that any ring satisfying the identity xn = x is commutative.
Ranganathan Padmanabhan, Yang Zhang
doaj   +1 more source

Towards an Intelligent Tutor for Mathematical Proofs [PDF]

open access: yesElectronic Proceedings in Theoretical Computer Science, 2012
Computer-supported learning is an increasingly important form of study since it allows for independent learning and individualized instruction. In this paper, we discuss a novel approach to developing an intelligent tutoring system for teaching textbook ...
Serge Autexier   +2 more
doaj   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

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