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Assuring the correct behavior of cyber-physical systems requires significant modeling effort, particularly during early stages of the engineering and design process when a system is not yet available for testing or verification of proper…

Systems and Control · Electrical Eng. & Systems 2021-01-27 Georgios Bakirtzis , Christina Vasilakopoulou , Cody H. Fleming

This volume contains the proceedings of the 18th International workshop AUTOMATA and the 3rd international symposium JAC. AUTOMATA workshop series aims at gathering researchers from all over the world working in fundamental aspects of…

Formal Languages and Automata Theory · Computer Science 2012-08-14 Enrico Formenti

In this Chapter, I will explore the use of modeling in order to understand how Science works. I will discuss the modeling of scientific communities, providing a general, non-comprehensive overview of existing models, with a focus on the use…

Physics and Society · Physics 2012-07-24 Andre C. R. Martins

This volume contains the papers presented at the Tenth International Workshop on Developments in Computational Models (DCM) held in Vienna, Austria on 13th July 2014, as part of the Vienna Summer of Logic. Several new models of computation…

Logic in Computer Science · Computer Science 2015-04-09 Ugo Dal Lago , Russ Harmer

The volume comprises the proceedings of the Third Workshop on Agents and Robots for reliable Engineered Autonomy (AREA 2023), held alongside the 26th European Conference on Artificial Intelligence (ECAI 2023). It explores the convergence of…

Multiagent Systems · Computer Science 2023-10-03 Angelo Ferrando , Rafael Cardoso

This volume contains the proceedings of F-IDE 2016, the third international workshop on Formal Integrated Development Environment, which was held as an FM 2016 satellite event, on November 8, 2016, in Limassol (Cyprus). High levels of…

Programming Languages · Computer Science 2017-01-30 Catherine Dubois , Paolo Masci , Dominique Méry

Model-driven engineering is the automatic production of software artefacts from abstract models of structure and functionality. By targeting a specific class of system, it is possible to automate aspects of the development process, using…

Software Engineering · Computer Science 2013-01-03 Chen-Wei Wang , Jim Davies

This paper presents a systematic mapping study on the model-driven engineering of safety and security concerns in systems. Integrated modeling and development of both safety and security concerns is an emerging field of research. Our…

Software Engineering · Computer Science 2020-04-21 Atif Mashkoor , Alexander Egyed , Robert Wille

The Robust Artificial Intelligence System Assurance (RAISA) workshop will focus on research, development and application of robust artificial intelligence (AI) and machine learning (ML) systems. Rather than studying robustness with respect…

Artificial Intelligence · Computer Science 2022-02-11 Olivia Brown , Brad Dillman

Modern systems are built using development frameworks. These frameworks have a major impact on how the resulting system executes, how configurations are managed, how it is tested, and how and where it is deployed. Machine learning (ML)…

Machine Learning · Computer Science 2020-05-14 Yang Ren , Gregory Gay , Christian Kästner , Pooyan Jamshidi

It is our pleasure to present the papers of the sixth Working Formal Methods Symposium (FROM 2022) held at the "Al. I. Cuza" university of Iasi, Romania on September 19-20, 2022. FROM aims to bring together researchers and practitioners who…

Logic in Computer Science · Computer Science 2022-09-20 Vlad Rusu

This volume contains a selection of the papers presented at the Ninth International Workshop on Developments in Computational Models (DCM 2013) held in Buenos Aires, Argentina on 26th August 2013, as a satellite event of CONCUR 2013.…

Logic in Computer Science · Computer Science 2014-04-01 Mauricio Ayala-Rincón , Eduardo Bonelli , Ian Mackie

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

We aim to conduct a systematic mapping in the area of testing ML programs. We identify, analyze and classify the existing literature to provide an overview of the area. We followed well-established guidelines of systematic mapping to…

Machine Learning · Computer Science 2019-07-23 Salman Sherin , Muhammad Uzair khan , Muhammad Zohaib Iqbal

The study of system complexity primarily has two objectives: to explore underlying patterns and to develop theoretical explanations. Pattern exploration seeks to clarify the mechanisms behind the emergence of system complexity, while…

Multiagent Systems · Computer Science 2026-02-18 Xiao Xue , Deyu Zhou , Ming Zhang , Xiangning Yu , Fei-Yue Wang

Formal models are essential to specifying large, complex computer systems and verifying their correctness, but are notoriously expensive to write and maintain. Recent advances in generative AI show promise in generating certain forms of…

Artificial Intelligence · Computer Science 2026-01-29 Qian Cheng , Ruize Tang , Emilie Ma , Finn Hackett , Peiyang He , Yiming Su , Ivan Beschastnikh , Yu Huang , Xiaoxing Ma , Tianyin Xu

The annual number of publications at scientific venues, for example, conferences and journals, is growing quickly. Hence, even for researchers it becomes harder and harder to keep track of research topics and their progress. In this task,…

Machine Learning · Computer Science 2021-05-19 Bastian Schäfermeier , Gerd Stumme , Tom Hanika

Models are centrally important in many scientific fields. A model is a representation of a selected part of the world, which is the model s target system. Here, a system consists of a software portion as a component among many others.…

Software Engineering · Computer Science 2020-05-22 Sabah Al-Fedaghi

Electronic structure simulation (ESS) has been used for decades to provide quantitative scientific insights on an atomistic scale, enabling advances in chemistry, biology, and materials science, among other disciplines. Following standard…

Machine Learning · Computer Science 2024-06-06 Hatem Helal , Andrew Fitzgibbon

At present it is still quite difficult to match the vast knowledge on the behavior of individual tumor cells with macroscopic measurements on clinical tumors. On the modeling side, we already know how to deal with many molecular pathways…

Tissues and Organs · Quantitative Biology 2012-01-16 Roberto Chignola , Edoardo Milotti
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