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  • thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence  (35)
  • Software Engineering  (16)
  • Springer  (46)
  • American Association for the Advancement of Science
  • American Physical Society (APS)
  • 2020-2024  (46)
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  • 1
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    Tools and Algorithms for the Construction and Analysis of Systems (2021)
    Springer Nature | Springer
    Details
    Publication Date: 2024-04-14
    Description: This open access two-volume set constitutes the proceedings of the 26th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2020, which took place in Dublin, Ireland, in April 2020, and was held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2020. The total of 60 regular papers presented in these volumes was carefully reviewed and selected from 155 submissions. The papers are organized in topical sections as follows: Part I: Program verification; SAT and SMT; Timed and Dynamical Systems; Verifying Concurrent Systems; Probabilistic Systems; Model Checking and Reachability; and Timed and Probabilistic Systems. Part II: Bisimulation; Verification and Efficiency; Logic and Proof; Tools and Case Studies; Games and Automata; and SV-COMP 2020.
    Keywords: Software Engineering/Programming and Operating Systems ; Special Purpose and Application-Based Systems ; Computer System Implementation ; Control Structures and Microprogramming ; Mathematics of Computing ; open access ; specification and verification techniques ; software and hardware verification ; SAT and SMT solving ; theorem proving ; model checking ; static and dynamic program analysis ; testing ; system construction and transformation techniques ; tool environments and tool architectures ; abstraction techniques for modeling and verification ; compositional and refinement-based methodologies ; mathematics ; software engineering ; software design ; architecting ; software architecture ; embedded systems ; automata theory ; linguistics ; Software Engineering ; Operating systems ; Expert systems / knowledge-based systems ; Systems analysis & design ; Algorithms & data structures ; Mathematical theory of computation ; Maths for computer scientists ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYD Systems analysis and design ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation
    Language: English
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  • 2
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    Artificial Intelligence for a Better Future (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access book proposes a novel approach to Artificial Intelligence (AI) ethics. AI offers many advantages: better and faster medical diagnoses, improved business processes and efficiency, and the automation of boring work. But undesirable and ethically problematic consequences are possible too: biases and discrimination, breaches of privacy and security, and societal distortions such as unemployment, economic exploitation and weakened democratic processes. There is even a prospect, ultimately, of super-intelligent machines replacing humans. The key question, then, is: how can we benefit from AI while addressing its ethical problems? This book presents an innovative answer to the question by presenting a different perspective on AI and its ethical consequences. Instead of looking at individual AI techniques, applications or ethical issues, we can understand AI as a system of ecosystems, consisting of numerous interdependent technologies, applications and stakeholders. Developing this idea, the book explores how AI ecosystems can be shaped to foster human flourishing. Drawing on rich empirical insights and detailed conceptual analysis, it suggests practical measures to ensure that AI is used to make the world a better place.
    Keywords: Artificial Intelligence ; Ethics ; Computers and Society ; Philosophy of Technology ; Business Ethics ; Applied Ethics ; Ethics of Technology ; Computer Ethics ; Information Ethics ; Responsible Research and Innovation ; Innovation Ecosystem ; Engineering Ethics ; Corporate Social Responsibility ; Open Access ; Ethics & moral philosophy ; Ethical & social aspects of IT ; Philosophy ; Business ethics & social responsibility ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::Q Philosophy and Religion::QD Philosophy::QDT Topics in philosophy::QDTQ Ethics and moral philosophy ; thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics::UBJ Digital and information technologies: social and ethical aspects ; thema EDItEUR::Q Philosophy and Religion::QD Philosophy ; thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJG Business ethics and social responsibility
    Language: English
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  • 3
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    Metalearning (2022)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access book as one of the fastest-growing areas of research in machine learning, metalearning studies principled methods to obtain efficient models and solutions by adapting machine learning and data mining processes. This adaptation usually exploits information from past experience on other tasks and the adaptive processes can involve machine learning approaches. As a related area to metalearning and a hot topic currently, automated machine learning (AutoML) is concerned with automating the machine learning processes. Metalearning and AutoML can help AI learn to control the application of different learning methods and acquire new solutions faster without unnecessary interventions from the user. This book offers a comprehensive and thorough introduction to almost all aspects of metalearning and AutoML, covering the basic concepts and architecture, evaluation, datasets, hyperparameter optimization, ensembles and workflows, and also how this knowledge can be used to select, combine, compose, adapt and configure both algorithms and models to yield faster and better solutions to data mining and data science problems. It can thus help developers to develop systems that can improve themselves through experience. This book is a substantial update of the first edition published in 2009. It includes 18 chapters, more than twice as much as the previous version. This enabled the authors to cover the most relevant topics in more depth and incorporate the overview of recent research in the respective area. The book will be of interest to researchers and graduate students in the areas of machine learning, data mining, data science and artificial intelligence. ; Metalearning is the study of principled methods that exploit metaknowledge to obtain efficient models and solutions by adapting machine learning and data mining processes. While the variety of machine learning and data mining techniques now available can, in principle, provide good model solutions, a methodology is still needed to guide the search for the most appropriate model in an efficient way. Metalearning provides one such methodology that allows systems to become more effective through experience. This book discusses several approaches to obtaining knowledge concerning the performance of machine learning and data mining algorithms. It shows how this knowledge can be reused to select, combine, compose and adapt both algorithms and models to yield faster, more effective solutions to data mining problems. It can thus help developers improve their algorithms and also develop learning systems that can improve themselves. The book will be of interest to researchers and graduate students in the areas of machine learning, data mining and artificial intelligence.
    Keywords: Metalearning ; Automating Machine Learning (AutoML) ; Machine Learning ; Artificial Intelligence ; algorithm selection ; algorithm recommendation ; algorithm configuration ; hyperparameter optimization ; automating the workflow/pipeline design ; metalearning in ensemble construction ; metalearning in deep neural networks ; transfer learning ; algorithm recommendation for data streams ; automating data science ; Open Access ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning
    Language: English
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  • 4
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    Reversible Computation: Extending Horizons of Computing (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access State-of-the-Art Survey presents the main recent scientific outcomes in the area of reversible computation, focusing on those that have emerged during COST Action IC1405 "Reversible Computation - Extending Horizons of Computing", a European research network that operated from May 2015 to April 2019. Reversible computation is a new paradigm that extends the traditional forwards-only mode of computation with the ability to execute in reverse, so that computation can run backwards as easily and naturally as forwards. It aims to deliver novel computing devices and software, and to enhance existing systems by equipping them with reversibility. There are many potential applications of reversible computation, including languages and software tools for reliable and recovery-oriented distributed systems and revolutionary reversible logic gates and circuits, but they can only be realized and have lasting effect if conceptual and firm theoretical foundations are established first.
    Keywords: Logic Design ; Computer System Implementation ; Computer Communication Networks ; Special Purpose and Application-Based Systems ; Software Engineering ; Operating Systems ; open access ; reversible computation ; semantics of reversible computation ; formal methods ; models of computation ; circuit design ; simulation ; robotics ; debugging ; quantum computing ; wireless communications ; programming languages ; dependability ; modelling of biochemical systems ; computer networks ; engineering ; software engineering ; parallel processing systems ; theoretical computer science ; Computer architecture & logic design ; Systems analysis & design ; Network hardware ; Expert systems / knowledge-based systems ; Operating systems ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYF Computer architecture and logic design ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYD Systems analysis and design ; thema EDItEUR::U Computing and Information Technology::UK Computer hardware::UKN Network hardware ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering ; thema EDItEUR::U Computing and Information Technology::UL Operating systems
    Language: English
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  • 5
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    Model-Based Engineering of Collaborative Embedded Systems (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This Open Access book presents the results of the "Collaborative Embedded Systems" (CrESt) project, aimed at adapting and complementing the methodology underlying modeling techniques developed to cope with the challenges of the dynamic structures of collaborative embedded systems (CESs) based on the SPES development methodology. In order to manage the high complexity of the individual systems and the dynamically formed interaction structures at runtime, advanced and powerful development methods are required that extend the current state of the art in the development of embedded systems and cyber-physical systems. The methodological contributions of the project support the effective and efficient development of CESs in dynamic and uncertain contexts, with special emphasis on the reliability and variability of individual systems and the creation of networks of such systems at runtime. The project was funded by the German Federal Ministry of Education and Research (BMBF), and the case studies are therefore selected from areas that are highly relevant for Germany’s economy (automotive, industrial production, power generation, and robotics). It also supports the digitalization of complex and transformable industrial plants in the context of the German government's "Industry 4.0" initiative, and the project results provide a solid foundation for implementing the German government's high-tech strategy "Innovations for Germany" in the coming years.
    Keywords: Software Engineering ; Software Management ; Automotive Engineering ; Special Purpose and Application-Based Systems ; IT in Business ; Model-Driven Software Development ; Requirements Engineering ; Automotive Software Engineering ; Embedded Systems ; Open Access ; SPES Methodology ; Simulation ; Co-Design of Systems ; Business mathematics & systems ; Business applications ; Automotive technology & trades ; Automotive (motor mechanic) skills ; Expert systems / knowledge-based systems ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering ; thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJQ Business mathematics and systems ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TR Transport technology and trades::TRC Automotive technology and trades ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems
    Language: English
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  • 6
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    Programming Languages and Systems (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access book constitutes the proceedings of the 30th European Symposium on Programming, ESOP 2021, which was held during March 27 until April 1, 2021, as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2021. The conference was planned to take place in Luxembourg and changed to an online format due to the COVID-19 pandemic. The 24 papers included in this volume were carefully reviewed and selected from 79 submissions. They deal with fundamental issues in the specification, design, analysis, and implementation of programming languages and systems.
    Keywords: Programming Languages, Compilers, Interpreters ; Natural Language Processing (NLP) ; Software Engineering ; Logics and Meanings of Programs ; Computer Systems Organization and Communication Networks ; Compilers and Interpreters ; Computer Science Logic and Foundations of Programming ; Computer Engineering and Networks ; computer programming ; concurrency theory ; distributed computer systems ; formal logic ; lamdba calculi ; linguistics ; logic ; object-oriented programming ; parallel processing systems ; probabilistic programming ; process calculi ; program compilers ; semantics ; software design ; software quality ; theory ; types ; verification and validation ; Programming & scripting languages: general ; Compilers & interpreters ; Natural language & machine translation ; Computer programming / software engineering ; Computer architecture & logic design ; Computer networking & communications ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMX Programming and scripting languages: general ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering ; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications
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  • 7
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    Tools and Algorithms for the Construction and Analysis of Systems (2021)
    Springer Nature | Springer
    Details
    Publication Date: 2024-04-14
    Description: This open access two-volume set constitutes the proceedings of the 27th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2021, which was held during March 27 – April 1, 2021, as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2021. The conference was planned to take place in Luxembourg and changed to an online format due to the COVID-19 pandemic. The total of 41 full papers presented in the proceedings was carefully reviewed and selected from 141 submissions. The volume also contains 7 tool papers; 6 Tool Demo papers, 9 SV-Comp Competition Papers. The papers are organized in topical sections as follows: Part I: Game Theory; SMT Verification; Probabilities; Timed Systems; Neural Networks; Analysis of Network Communication. Part II: Verification Techniques (not SMT); Case Studies; Proof Generation/Validation; Tool Papers; Tool Demo Papers; SV-Comp Tool Competition Papers.
    Keywords: Theory of Computation ; Computer Systems Organization and Communication Networks ; Control Structures and Microprogramming ; Logic in AI ; Information Systems and Communication Service ; Computer Engineering and Networks ; architecture verification and validation ; artificial intelligence ; automata theory ; computer networks ; embedded systems ; formal languages ; formal logic ; linguistics ; mathematics ; model checking ; model-checking ; SAT and SMT solving ; signal processing ; software and hardware verification ; software architecture ; software engineering ; specification and verification techniques ; static and dynamic program analysis ; system construction and transforamtion techniques ; theorem-proving ; Computer science ; Mathematical theory of computation ; Computer networking & communications ; Algorithms & data structures ; thema EDItEUR::U Computing and Information Technology::UY Computer science ; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
    Language: English
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  • 8
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    Tools and Algorithms for the Construction and Analysis of Systems (2021)
    Springer Nature | Springer
    Details
    Publication Date: 2024-04-14
    Description: This open access two-volume set constitutes the proceedings of the 27th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2021, which was held during March 27 – April 1, 2021, as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2021. The conference was planned to take place in Luxembourg and changed to an online format due to the COVID-19 pandemic. The total of 41 full papers presented in the proceedings was carefully reviewed and selected from 141 submissions. The volume also contains 7 tool papers; 6 Tool Demo papers, 9 SV-Comp Competition Papers. The papers are organized in topical sections as follows: Part I: Game Theory; SMT Verification; Probabilities; Timed Systems; Neural Networks; Analysis of Network Communication. Part II: Verification Techniques (not SMT); Case Studies; Proof Generation/Validation; Tool Papers; Tool Demo Papers; SV-Comp Tool Competition Papers.
    Keywords: Theory of Computation ; Computer Systems Organization and Communication Networks ; Control Structures and Microprogramming ; Software Engineering ; Computer Engineering and Networks ; architecture verification and validation ; automata theory ; computer systems ; distributed computer systems ; embedded systems ; formal logic ; mathematics ; model checking ; model-checking ; parallel processing systems ; SAT and SMT solving ; software architecture ; static and dynamic program analysis ; theorem-proving ; verification and validation ; Computer science ; Mathematical theory of computation ; Computer networking & communications ; Algorithms & data structures ; thema EDItEUR::U Computing and Information Technology::UY Computer science ; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering
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  • 9
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    Graph Structures for Knowledge Representation and Reasoning (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access book constitutes the thoroughly refereed post-conference proceedings of the 6th International Workshop on Graph Structures for Knowledge Representation and Reasoning, GKR 2020, held virtually in September 2020, associated with ECAI 2020, the 24th European Conference on Artificial Intelligence. The 7 revised full papers presented together with 2 invited contributions were reviewed and selected from 9 submissions. The contributions address various issues for knowledge representation and reasoning and the common graph-theoretic background, which allows to bridge the gap between the different communities.
    Keywords: Artificial Intelligence ; Information Systems Applications (incl. Internet) ; Computer Communication Networks ; Mathematical Logic and Formal Languages ; Computer and Information Systems Applications ; Formal Languages and Automata Theory ; open access ; concept lattices ; data mining ; databases ; fca ; formal concept analysis ; formal languages ; formal logic ; information analysis ; information systems ; knowledge-based system ; model-based reasoning ; network protocols ; ontologies ; Information retrieval ; Internet searching ; Network hardware ; Mathematical theory of computation ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UN Databases::UNH Information retrieval ; thema EDItEUR::U Computing and Information Technology::UK Computer hardware::UKN Network hardware ; thema EDItEUR::U Computing and Information Technology::UY Computer science
    Language: English
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  • 10
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    Ernst Denert Award for Software Engineering 2020 (2022)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access book provides an overview of the dissertations of the eleven nominees for the Ernst Denert Award for Software Engineering in 2020. The prize, kindly sponsored by the Gerlind & Ernst Denert Stiftung, is awarded for excellent work within the discipline of Software Engineering, which includes methods, tools and procedures for better and efficient development of high quality software. An essential requirement for the nominated work is its applicability and usability in industrial practice. The book contains eleven papers that describe the works by Jonathan Brachthäuser (EPFL Lausanne) entitled What You See Is What You Get: Practical Effect Handlers in Capability-Passing Style, Mojdeh Golagha’s (Fortiss, Munich) thesis How to Effectively Reduce Failure Analysis Time?, Nikolay Harutyunyan’s (FAU Erlangen-Nürnberg) work on Open Source Software Governance, Dominic Henze’s (TU Munich) research about Dynamically Scalable Fog Architectures, Anne Hess’s (Fraunhofer IESE, Kaiserslautern) work on Crossing Disciplinary Borders to Improve Requirements Communication, Istvan Koren’s (RWTH Aachen U) thesis DevOpsUse: A Community-Oriented Methodology for Societal Software Engineering, Yannic Noller’s (NU Singapore) work on Hybrid Differential Software Testing, Dominic Steinhofel’s (TU Darmstadt) thesis entitled Ever Change a Running System: Structured Software Reengineering Using Automatically Proven-Correct Transformation Rules, Peter Wägemann’s (FAU Erlangen-Nürnberg) work Static Worst-Case Analyses and Their Validation Techniques for Safety-Critical Systems, Michael von Wenckstern’s (RWTH Aachen U) research on Improving the Model-Based Systems Engineering Process, and Franz Zieris’s (FU Berlin) thesis on Understanding How Pair Programming Actually Works in Industry: Mechanisms, Patterns, and Dynamics – which actually won the award. The chapters describe key findings of the respective works, show their relevance and applicability to practice and industrial software engineering projects, and provide additional information and findings that have only been discovered afterwards, e.g. when applying the results in industry. This way, the book is not only interesting to other researchers, but also to industrial software professionals who would like to learn about the application of state-of-the-art methods in their daily work.
    Keywords: Software Engineering ; Software Development ; Requirements Engineering ; Software Modeling ; Software Research ; Ernst Denert Award ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering ; thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJQ Business mathematics and systems ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYZ Human–computer interaction::UYZM Information architecture
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