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Foundations of Software Science and Computation Structures

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Cover of 'Foundations of Software Science and Computation Structures'

Table of Contents

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    Book Overview
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    Chapter 1 Neural Flocking: MPC-Based Supervised Learning of Flocking Controllers
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    Chapter 2 On Well-Founded and Recursive Coalgebras
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    Chapter 3 Timed Negotiations
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    Chapter 4 Cartesian Difference Categories
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    Chapter 5 Contextual Equivalence for Signal Flow Graphs
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    Chapter 6 Parameterized Synthesis for Fragments of First-Order Logic Over Data Words
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    Chapter 7 Controlling a Random Population
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    Chapter 8 Decomposing Probabilistic Lambda-Calculi
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    Chapter 9 On the k-synchronizability of Systems
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    Chapter 10 General Supervised Learning as Change Propagation with Delta Lenses
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    Chapter 11 Non-idempotent Intersection Types in Logical Form
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    Chapter 12 On Computability of Data Word Functions Defined by Transducers
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    Chapter 13 Minimal Coverability Tree Construction Made Complete and Efficient
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    Chapter 14 Constructing Infinitary Quotient-Inductive Types
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    Chapter 15 Relative Full Completeness for Bicategorical Cartesian Closed Structure
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    Chapter 16 A Duality Theoretic View on Limits of Finite Structures
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    Chapter 17 Correctness of Automatic Differentiation via Diffeologies and Categorical Gluing
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    Chapter 18 Deep Induction: Induction Rules for (Truly) Nested Types
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    Chapter 19 Exponential Automatic Amortized Resource Analysis
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    Chapter 20 Concurrent Kleene Algebra with Observations: From Hypotheses to Completeness
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    Chapter 21 Graded Algebraic Theories
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    Chapter 22 A Curry-style Semantics of Interaction: From Untyped to Second-Order Lazy $$\lambda \mu $$ -Calculus
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    Chapter 23 An Axiomatic Approach to Reversible Computation
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    Chapter 24 An Auxiliary Logic on Trees: on the Tower-Hardness of Logics Featuring Reachability and Submodel Reasoning
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    Chapter 25 The Inconsistent Labelling Problem of Stutter-Preserving Partial-Order Reduction
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    Chapter 26 Semantical Analysis of Contextual Types
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    Chapter 27 Ambiguity, Weakness, and Regularity in Probabilistic Büchi Automata
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    Chapter 28 Local Local Reasoning: A BI-Hyperdoctrine for Full Ground Store
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    Chapter 29 Quantum Programming with Inductive Datatypes: Causality and Affine Type Theory
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    Chapter 30 Spinal Atomic Lambda-Calculus
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    Chapter 31 Learning Weighted Automata over Principal Ideal Domains
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    Chapter 32 The Polynomial Complexity of Vector Addition Systems with States
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Title
Foundations of Software Science and Computation Structures
Published by
Springer International Publishing, June 2020
DOI 10.1007/978-3-030-45231-5
ISBNs
978-3-03-045230-8, 978-3-03-045231-5
Editors

Goubault-Larrecq, Jean, König, Barbara

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