Tabla de Contenidos: “…Front Cover -- Quantum Inspired Computational Intelligence: Research and Applications -- Copyright -- Dedication -- Contents -- List of Contributors -- About the Editors -- Foreword -- Preface -- Acknowledgments -- Part I : Research -- Chapter 1: Quantum neural computation of entanglement is robust to noise and decoherence -- 1 Introduction and Literature Background -- 2 Dynamic Learning of an Entanglement Indicator -- 3 Learning with Noise -- 4 Decoherence -- 5 Noise Plus Decoherence -- 6 Conclusions -- Acknowledgments -- References -- Chapter 2: Quantum computing and supervised machine learning: Training, model selection, and error estimation -- 1 Introduction -- 2 The Supervised Learning Problem: Training, Model Selection, and Error Estimation -- 3 Classical and Quantum Computing -- 3.1 Classical Computing -- 3.2 Quantum Computing -- 4 Quantum Computing for Training -- 4.1 Bounded Loss Functions -- 4.1.1 Example: The problems behind the convex relaxation -- 4.2 Energy-Efficient Models -- 4.3 Sparse Solutions -- 4.4 Gibbs and Bayes Classifiers -- 5 Quantum Computing for Model Selection and Error Estimation -- 5.1 Out-of-Sample Methods: Hold-Out, Cross Validation, and Bootstrap -- 5.2 Vapnik-Chervonenkis Theory -- 5.3 (Local) Rademacher Complexity Theory -- 5.4 PAC-Bayes Theory -- 5.4.1 Algorithmic stability -- 5.4.2 Compression bound -- 6 Conclusions -- References -- Chapter 3: Field computation: A framework for quantum-inspired computing -- 1 Introduction -- 2 Fields -- 3 Field computation -- 4 Derivatives of Field Transformations -- 5 Examples of Field Computation -- 5.1 Neural Network-Style Computation -- 5.2 Discrete Basis Function Networks -- 5.3 Continua of Basis Functions -- 5.4 Approximations of Spatial Integration and Differentiation -- 5.5 Iterative Field Computation -- 5.6 Field Differential Equations…”

“…The book contains five papers that describe the works by Jannik Fischbach (Netlight Consulting GmbH and fortiss GmbH), who won the award, entitled Conditional Statements in Requirements Artifacts: Logical Interpretation, Use Cases for Automated Software Engineering, and Fine-Grained Extraction, Christian Kirchhof's (RWTH Aachen University) From Design to Reality: An Overview of the MontiThings Ecosystem for Model-Driven IoT Applications, Sven Peldszus's (Ruhr University Bochum) research about Security Compliance in Model-driven Development of Software Systems in Presence of Long-Term Evolution and Variants, Florian Rademacher's (RWTH Aachen University) work on Model-Driven Engineering of Microservice Architectures, and Alexander Trautsch's (University of Passau) Usefulness of Automatic Static Analysis Tools: Evidence from Four Case Studies. …”