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The paper provides a survey of semantic methods for solution of fundamental tasks in mathematical knowledge management. Ontological models and formalisms are discussed. We propose an ontology of mathematical knowledge, covering a wide range…

Artificial Intelligence · Computer Science 2014-09-01 Alexander Elizarov , Alexander Kirillovich , Evgeny Lipachev , Olga Nevzorova , Valery Solovyev , Nikita Zhiltsov

Formalism of extended Lagrangian represent a systematic procedure to look for the local symmetries of a given Lagrangian action. In this work, the formalism is discussed and applied to a field theory. We describe it in detail for a field…

High Energy Physics - Theory · Physics 2011-06-21 A. A. Deriglazov , B. F. Rizzuti

In this paper we show by using the example of UML, how a software engineering method can benefit from an integrative mathematical foundation. The mathematical foundation is given by a mathematical system model. This model provides the basis…

Software Engineering · Computer Science 2014-12-09 Ruth Breu , Radu Grosu , Franz Huber , Bernhard Rumpe , Wolfgang Schwerin

Refinement based formal methods allow the modelling of systems through incremental steps via abstraction. Discovering the right levels of abstraction, formulating correct and meaningful invariants, and analysing faulty models are some of…

Software Engineering · Computer Science 2016-03-03 Gudmund Grov , Andrew Ireland , Maria Teresa Llano , Peter Kovacs , Simon Colton , Jeremy Gow

In this work, we present a logical formalism for reasoning about quantum systems in finite dimension. Contrary to the usual approach in quantum logic, our formalism is based classical first-order logic, which allows us to use the tools of…

Quantum Physics · Physics 2026-02-19 Olivier Brunet

Computer-based modelling and simulation have become useful tools to facilitate humans to understand systems in different domains, such as physics, astrophysics, chemistry, biology, economics, engineering and social science. A complex system…

Artificial Intelligence · Computer Science 2021-02-03 Xing Su , Yan Kong , Weihua Li

Parametric prediction error methods constitute a classical approach to the identification of linear dynamic systems with excellent large-sample properties. A more recent regularized approach, inspired by machine learning and Bayesian…

Systems and Control · Computer Science 2017-10-12 Johan Wågberg , Dave Zachariah , Thomas B. Schön

Modal automata are a classic formal model for component-based systems that comes equipped with a rich specification theory supporting abstraction, refinement and compositional reasoning. In recent years, quantitative variants of modal…

Logic in Computer Science · Computer Science 2013-06-13 Tingting Han , Christian Krause , Marta Kwiatkowska , Holger Giese

In recent years, promising mathematical models have been suggested which aim to describe conscious experience and its relation to the physical domain. Whereas the axioms and metaphysical ideas of these theories have been carefully…

Neurons and Cognition · Quantitative Biology 2020-07-15 Johannes Kleiner

We propose a theoretical formalism, molecular finite automata (MFA), to describe individual proteins as rule-based computing machines. The MFA formalism provides a framework for modeling individual protein behaviors and systems-level…

Quantitative Methods · Quantitative Biology 2010-09-16 Jin Yang , Xin Meng , William S. Hlavacek

This article introduces a fully automated verification technique that permits to analyze real-time systems described using a continuous notion of time and a mixture of operational (i.e., automata-based) and descriptive (i.e., logic-based)…

Logic in Computer Science · Computer Science 2013-08-14 Carlo A. Furia , Matteo Pradella , Matteo Rossi

We discuss a formal system of mathematics. We use it to construct the natural numbers.

Logic · Mathematics 2020-04-10 Christoph Thiele

Optical systems are becoming increasingly important by resolving many bottlenecks in today's communication, electronics, and biomedical systems. However, given the continuous nature of optics, the inability to efficiently analyze optical…

Logic in Computer Science · Computer Science 2014-03-13 Sanaz Khan-Afshar , Umair Siddique , Mohamed Yousri Mahmoud , Vincent Aravantinos , Ons Seddiki , Osman Hasan , Sofiene Tahar

Recently, extensive efforts have been made on the application of expert system technique to solving the process planning task in the machining domain. This paper introduces a new formal method to design CAPP expert systems. The formal…

Artificial Intelligence · Computer Science 2007-05-23 V. V. Kryssanov , A. S. Kleshchev , Y. Fukuda , K. Konishi

Understanding the behaviour of biological systems requires a complex setting of in vitro and in vivo experiments, which attracts high costs in terms of time and resources. The use of mathematical models allows researchers to perform…

Computational Engineering, Finance, and Science · Computer Science 2009-11-30 Thomas Anung Basuki , Antonio Cerone , Rafael V. Carvalho

This is my working paper on a proposed logical framework for the practice of mathematics, which is paralleled by philosophical considerations and a computer implementation (a variant of Automath). Updated 10/27/2016 with a version from…

Logic · Mathematics 2016-10-31 M. Randall Holmes

The complexity of human cognition has meant that psychology makes more use of theory and conceptual models than perhaps any other biomedical field. To enable precise quantitative study of the full breadth of phenomena in psychological and…

Neurons and Cognition · Quantitative Biology 2025-11-11 Bryce-Allen Bagley , Navin Khoshnan

Methodologies for development of complex systems and models include external reviews by domain and technology experts. Among others, such reviews can uncover undocumented built-in assumptions that may be critical for correct and safe…

Software Engineering · Computer Science 2023-12-29 David Harel , Uwe Aßmann , Fabiana Fournier , Lior Limonad , Assaf Marron , Smadar Szekely

Research in the field of automated vehicles, or more generally cognitive cyber-physical systems that operate in the real world, is leading to increasingly complex systems. Among other things, artificial intelligence enables an…

Software Engineering · Computer Science 2025-02-20 Lars Ullrich , Michael Buchholz , Klaus Dietmayer , Knut Graichen

This work is devoted to giving a geometric framework for describing higher-order non-autonomous mechanical systems. The starting point is to extend the Lagrangian-Hamiltonian unified formalism of Skinner and Rusk for these kinds of systems,…

Mathematical Physics · Physics 2012-10-24 Pedro D. Prieto-Martínez , Narciso Román-Roy