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ویرایش: نویسندگان: Antonio Cerone (editor), Marco Autili (editor), Alessio Bucaioni (editor), Cláudio Gomes (editor), Pierluigi Graziani (editor), Maurizio Palmieri (editor), Marco Temperini (editor), Gentiane Venture (editor) سری: ISBN (شابک) : 3031124286, 9783031124280 ناشر: Springer سال نشر: 2022 تعداد صفحات: 355 زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 24 مگابایت
در صورت تبدیل فایل کتاب Software Engineering and Formal Methods. SEFM 2021 Collocated Workshops: CIFMA, CoSim-CPS, OpenCERT, ASYDE, Virtual Event, December 6–10, 2021, ... Papers (Lecture Notes in Computer Science) به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب مهندسی نرم افزار و روش های رسمی. کارگاه های آموزشی SEFM 2021: CIFMA، CoSim-CPS، OpenCERT، ASYDE، رویداد مجازی، 6 تا 10 دسامبر 2021، ... مقالات (یادداشت های سخنرانی در علوم کامپیوتر) نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
Preface Sponsor Contents CIFMA 2021 - 3rd International Workshop on Cognition: Interdisciplinary Foundations, Models and Applications CIFMA 2021 Organizers’ Message Organization Program Committee Chairs Steering Committee Program Committee Additional Reviewers What Does It Mean to Inhibit an Action? 1 Introduction 2 Descartes, Libet, and the Veto 3 The Veto in the Study of Schultze-Kraft et al. 4 An Alternative Interpretation 5 Conclusion References Regret from Cognition to Code 1 Introduction 1.1 The Psychology of Regret 2 A Cognitive Model of Regret 2.1 Underlying Cognitive Systems that Enable Regret 2.2 Regret as a Learning Mechanism 2.3 Cognitive Model Summary 3 A Computational Model of Regret 3.1 Overall Architecture 3.2 Example Game – Simple Pontoon 3.3 The Environment 3.4 The Basic Learning Component 3.5 The Regret Module 4 Experimental Results 4.1 Obtaining Learning Saturation and Reducing Stochastic Noise 4.2 Observed Behaviour 4.3 Computational Model Discussion 4.4 How the Computational Model Feeds Back to the Cognitive Model 5 Conclusions and Future Work References In Silico Simulations and Analysis of Human Phonological Working Memory Maintenance and Learning Mechanisms with Behavior and Reasoning Description Language (BRDL) 1 Introduction 2 Maintenance in pSTM and Transfer to LTM 2.1 Rehearsal 2.2 Refreshing 2.3 Fast and Slow Learning Mechanisms 3 Behavioral and Reasoning Descriptive Language (BRDL) 3.1 Modelling Maintenance and Learning Mechanisms 4 A Tool for Simulating Learning Processes and Performing In Silico Experiments 4.1 Tool Implementation 4.2 Illustrative In Silico Experiments 5 Conclusion and Future Work References Fostering Safe Behaviors via Metaphor-Based Nudging Technologies 1 Introduction 2 How Artificial Agents Recognize Appropriate Social Distance 2.1 Social Distance as Spatial Distance and Social Closeness 2.2 Nudging the Appropriate Behavior 3 A Metaphor-Based Interface to Promote Social Distance 3.1 Metaphorical Framing as a Reasoning Device 3.2 The Fire Metaphor for Spatial Distance and Social Closeness 4 Design Challenges for Visual Metaphor-Based Prototypes 5 Conclusion References Developing the Semantic Web via the Resolution of Meaning Ambiguities 1 Introduction 2 PROL and the Representation of Relations as Concepts 3 Sources of Meaning Ambiguity in Metaphor Comprehension 4 Solving Meaning Ambiguities in PROL 5 Conclusion References Original or Fake? How to Understand the Digital Artworks\' Value in the Blockchain 1 Introduction 2 Technical Components 2.1 Blockchain 2.2 Smart Contract 2.3 NFT 2.4 Oracle 3 Method 4 History of Production 5 History of Effects 5.1 From a Data-Centered Model (TWPA) to a User-Centered Model (UCP) 6 Threats to Validity 7 Conclusion References Grounding Psychological Shape Space in Convolutional Neural Networks 1 Introduction 2 Background 2.1 Conceptual Spaces 2.2 The Cognitive Domain of Shapes 2.3 Convolutional Neural Networks 2.4 A Hybrid Approach 3 General Methods 3.1 Data Augmentation 3.2 Training and Evaluation Scheme 4 Experiments 4.1 Pretraining 4.2 Transfer Learning 4.3 Multi-task Learning 4.4 Generalization to Other Target Spaces 5 Discussion and Conclusion References Unexpectedness and Bayes\' Rule 1 Introduction 1.1 Simplicity Theory 2 Unexpectedness and Bayes\' Rule 3 All Prior is Posterior of Some Other Prior? 3.1 Informational Principle of Framing 4 Likelihood and Prediction 5 Posterior and Post-diction 6 Conclusion References Can Reinforcement Learning Learn Itself? A Reply to `Reward is Enough\' 1 Introduction 2 Reinforcement Learning 2.1 Are Humans RL Agents? 3 RL-Solving Intelligence 4 Performance Measurement and Incentivizing RL-Agent Design 5 Discussion 5.1 Agent-Design is Too Complicated or Expensive of a Problem 5.2 What About Evolution? 5.3 Just Pick an Agent and Incentivise its Design 5.4 Incentivise the Agent to Type Its Own Source-Code 5.5 RL Doesn\'t Need to Directly Solve RL, it only Needs to Help Us Solve RL 6 Conclusion References CoSim-CPS 2021 - 5th Workshop on Formal Co-Simulation of Cyber-Physical Systems CoSim-CPS 2021 Organizers’ Message Organization Program Committee Chairs Program Committee Enabling Distributed and Hybrid Digital Twins in the Industry5.0 Cloud Continuum 1 Architectural Guidelines for Distributed and Hybrid DTs 2 The IoTwins H2020 Project References Under What Conditions Does a Digital Shadow Track a Periodic Linear Physical System? 1 Introduction 2 Background 2.1 Incubator System 2.2 Models 3 Stability Analysis of Periodic Linear Systems 4 Simulation and Experiments Results of Incubator 5 Conclusion and Future Work References Convergence Properties of Hierarchical Co-simulation Approaches 1 Introduction 2 Consistency 2.1 Consistency in Co-simulation 2.2 Consistency in Hierarchical Co-simulation 3 Error Studies on a Coupled Three-Mass Oscillator 4 Conclusion and Outlook References Co-simulation-Based Pre-training of a Ship Trajectory Predictor 1 Introduction 2 Related Works 3 Methodology 3.1 Pre-training of a Trajectory Predictor 3.2 A Virtual Vessel Model in VICO 3.3 An FNN-Based Predictor 4 Case Study 4.1 Pre-training 4.2 Main Training 4.3 Evaluation Metric 4.4 Results 5 Conclusion References Effect of Ship Propulsion Retrofit on Maneuverability Research Based on Co-simulation 1 Introduction 2 Problem Formulation 2.1 Ship Maneuverability 2.2 Co-simulation Setup 3 Experiment Results 3.1 Simulation Scenarios 3.2 Results Analysis 4 Conclusion References Co-simulation of a Model Predictive Control System for Automotive Applications 1 Introduction 2 Related Work 3 Model Predictive Control and the GRAMPC Framework 3.1 Model Predictive Control 3.2 The GRAMPC Framework 4 Proposed Approach 4.1 Advantages of GRAMPC as an FMU 4.2 Advantages of Hardware Platform Modelling Within VPSim 5 Case Study 5.1 Vehicle Model 5.2 Simulink Model of the Plant 5.3 Vehicle and Controller in GRAMPC 5.4 Hardware Platform with VPSim 5.5 Results 6 Conclusions References Running Large-Scale and Hybrid Real-Time Aircraft Simulations in an HLA Framework 1 Introduction 2 An HLA Based Framework 2.1 CERTI 2.2 Federates and Models 2.3 Time Management Services 3 SMARTIES Project 3.1 Background 3.2 Architecture Overview 3.3 Open-Source Version 4 Towards a New F16 Engine Model 4.1 Design Tool 4.2 New Engine Models 4.3 HLA/PROOSIS Coupling 5 Experiments and Results 5.1 Testing Environment 5.2 Engine Models Comparison 5.3 Real-Time Performance Results 5.4 Dead-Reckoning Performance Results 6 Conclusion References Comparison Between the HUBCAP and DIGITBrain Platforms for Model-Based Design and Evaluation of Digital Twins 1 Introduction 2 The HUBCAP and the DIGITbrain Platforms 3 Comparison of the HUBCAP and the DIGITbrain Platforms 4 Agrointelli Case Study 5 Concluding Remarks References OpenCERT 2021 - 10th International Workshop on Open Community approaches to Education, Research and Technology OpenCERT 2021 Organizers’ Message Organization Program Committee Chairs Steering Committee Program Committee A Life-Long Learning Education Passport Powered by Blockchain Technology and Verifiable Digital Credentials: The BlockAdemiC Project 1 Introduction 2 The BlockAdemiC Project 2.1 BlockAdemiC Overview 2.2 Innovation and Objectives 2.3 BlockAdemiC Technological Background 2.4 Expected Impact 3 Conclusions and Further Research References Open Source Discovery, Adoption, and Use: An Informal Perspective 1 Introduction 2 Barriers to Open Source Adoption and Use 3 Types of Open Source Projects 3.1 Commercial Projects 3.2 Foundation-Based Projects 3.3 Community-Based Projects 4 Intended Uses of Open Source Software 5 Commercial Support and Open Source Projects 6 The Challenge of Evaluating Open Source Software 7 Quantitative Evaluation of Open Source 8 The Impact of Open Source Software 9 Why Participate in Open Source Projects 10 Where to Learn More 11 A Final Word References DrPython–WEB: A Tool to Help Teaching Well-Written Python Programs 1 Introduction 2 DrPython: Feature Extraction Module 3 Dr.Python-WEB: The System 4 Conclusions and Future Work References Formal Methods Communities of Practice: A Survey of Personal Experience 1 Introduction 2 Background 3 Communities of Practice 4 Networks and Landscapes of Practice 5 Visualization of Communities 6 Conclusion References Learning from Mistakes in an Open Source Software Course 1 Introduction 1.1 Course Description 1.2 Background and Expectations 2 Project Selection 2.1 The First Selection 2.2 Final Decision 3 Project Description 3.1 Governance 3.2 Community 3.3 Licence 4 Technical Aspects 4.1 Architecture 4.2 Related Modules 4.3 Project Status 5 Role and Work Done 5.1 The First Commit: Minor Feature to Group Routes by a Common Controller Class 5.2 Testing Modules and Bug Fix 5.3 Adding Compatibility Between Old and New Features 5.4 Interaction with Community 6 Lessons Learned 6.1 Identifying a Good Project to Contribute 6.2 Writing Pull Requests 6.3 Finding Tasks 7 Conclusion References ASYDE 2021 - 3rd International Workshop on Automated and verifiable Software sYstem DEvelopment ASYDE 2021 Organizers’ Message Organization Program Committee Chairs Steering Committee Program Committee A Probabilistic Model Checking Approach to Self-adapting Machine Learning Systems 1 Introduction 2 Motivation 3 Framework for Self-adaptive ML-Based Systems 3.1 Architectural Overview 3.2 Machine Learning Components 4 Model Checking the Need for Adaptation 4.1 Modelling the Components of the Framework 4.2 Collecting Rewards 5 Results 6 Related Work 7 Threats to Validity and Future Work 8 Conclusion References Integration of COTS Processing Architectures in Small Satellites for Onboard Computing Using Fault Injection Testing Methodology 1 Introduction 2 Motivation Scenario: COTS Processors for High-Performance Processing in the Space Environment 2.1 COTS Devices in Space 2.2 High-Performance Processing in Space with COTS GPUs 3 Software-Based FIT Methodology 3.1 Description of the FIT Methodology 3.2 Software Techniques for Fault Tolerance in COTS Devices 3.3 Deployment of SFIT for Fault-Tolerant and Safety-Critical Systems 4 Case Study: UPMSat-2 Microsatellite 4.1 System Overview 4.2 Model-Based Development Process 4.3 Validation Approach 4.4 Application of SFIT: Integration of COTS Processing Devices 5 Conclusion and Future Work References Author Index