Foundations of Software Science and Computation Structures - Info and Reading Options

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Intro -- ETAPS Foreword -- Preface -- Organization -- Contents -- Neural Flocking: MPC-based Supervised Learning of Flocking Controllers -- 1 Introduction -- 2 Background -- 2.1 Model-Predictive Control -- 2.2 Declarative Flocking -- 3 Additional Control Objectives -- 4 Neural Flocking -- 4.1 Training Distributed Flocking Controllers -- 5 Experimental Evaluation -- 5.1 Preliminaries -- 5.2 Results for Basic Flocking -- 5.3 Results for Obstacle and Predator Avoidance -- 5.4 DNC Generalization Results -- 5.5 Statistical Model Checking Results -- 6 Related Work -- 7 Conclusions -- References -- On Well-Founded and Recursive Coalgebras -- 1 Introduction -- 2 Preliminaries -- 2.1 Algebras and Coalgebras. -- 2.2 Preservation Properties. -- 2.3 Factorizations. -- 2.4 Chains. -- 3 Recursive Coalgebras -- 4 The Next Time Operator and Well-Founded Coalgebras -- 5 The General Recursion Theorem and its Converse -- 6 Closure Properties of Well-founded Coalgebras -- 7 Conclusions -- References -- Timed Negotiations* -- 1 Introduction -- 2 Negotiations: Definitions and Brexit example -- 3 Timed Negotiations -- 4 High level view of the main results -- 5 Deterministic Negotiations -- 6 Sound Negotiations -- 7 k-Layered Negotiations -- 7.1 Algorithmic properties -- 7.2 Minimal Execution Time -- 8 Conclusion -- References -- Cartesian Difference Categories -- 1 Introduction -- 2 Cartesian Differential Categories -- 2.1 Cartesian Left Additive Categories -- 2.2 Cartesian Differential Categories -- 3 Change Action Models -- 3.1 Change Actions -- 3.2 Change Action Models -- 4 Cartesian Difference Categories -- 4.1 Infinitesimal Extensions in Left Additive Categories -- 4.2 Cartesian Difference Categories -- 4.3 Another look at Cartesian Differential Categories -- 4.4 Cartesian Difference Categories as Change Action Models -- 4.5 Linear Maps and ε-Linear Maps

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