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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
  2. Altmetric Badge
    Chapter 1 Foundations of Software Science and Computation Structures
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    Chapter 2 Guarded Dependent Type Theory with Coinductive Types
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    Chapter 3 Dependent Types and Fibred Computational Effects
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    Chapter 4 Game Semantics for Bounded Polymorphism
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    Chapter 5 Join Inverse Categories as Models of Reversible Recursion
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    Chapter 6 A Coalgebraic View of Bar Recursion and Bar Induction
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    Chapter 7 A New Foundation for Finitary Corecursion
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    Chapter 8 Fixed-Point Elimination in the Intuitionistic Propositional Calculus
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    Chapter 9 A Theory of Monitors
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    Chapter 10 Contextual Approximation and Higher-Order Procedures
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    Chapter 11 A Theory of Slicing for Probabilistic Control Flow Graphs
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    Chapter 12 Verification of Parameterized Communicating Automata via Split-Width
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    Chapter 13 Robust Equilibria in Mean-Payoff Games
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    Chapter 14 Quantifier Alternation for Infinite Words
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    Chapter 15 Synchronizing Automata over Nested Words
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    Chapter 16 On Freeze LTL with Ordered Attributes
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    Chapter 17 Regular Transformations of Data Words Through Origin Information
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    Chapter 18 Trace Refinement in Labelled Markov Decision Processes
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    Chapter 19 Qualitative Analysis of VASS-Induced MDPs
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    Chapter 20 Metric Temporal Logic with Counting
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    Chapter 21 Distributed Synthesis in Continuous Time
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    Chapter 22 Unary Resolution: Characterizing Ptime
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    Chapter 23 Focused and Synthetic Nested Sequents
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    Chapter 24 Strong Normalizability as a Finiteness Structure via the Taylor Expansion of $$\lambda $$ λ -terms
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    Chapter 25 Reasoning About Call-by-need by Means of Types
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    Chapter 26 Coverability Trees for Petri Nets with Unordered Data
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    Chapter 27 Shortest Paths in One-Counter Systems
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    Chapter 28 The Invariance Problem for Matrix Semigroups
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    Chapter 29 Order-Sorted Rewriting and Congruence Closure
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    Chapter 30 Towards a Formal Theory of Graded Monads
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    Chapter 31 Profinite Monads, Profinite Equations, and Reiterman’s Theorem
Attention for Chapter 30: Towards a Formal Theory of Graded Monads
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Chapter title
Towards a Formal Theory of Graded Monads
Chapter number 30
Book title
Foundations of Software Science and Computation Structures
Published in
Lecture notes in computer science, April 2016
DOI 10.1007/978-3-662-49630-5_30
Book ISBNs
978-3-66-249629-9, 978-3-66-249630-5
Authors

Soichiro Fujii, Shin-ya Katsumata, Paul-André Melliès

Editors

Bart Jacobs, Christof Löding

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 31%
Researcher 3 23%
Other 2 15%
Student > Ph. D. Student 1 8%
Professor 1 8%
Other 0 0%
Unknown 2 15%
Readers by discipline Count As %
Computer Science 11 85%
Business, Management and Accounting 1 8%
Unknown 1 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 August 2020.
All research outputs
#18,518,987
of 22,940,083 outputs
Outputs from Lecture notes in computer science
#6,015
of 8,129 outputs
Outputs of similar age
#220,286
of 300,671 outputs
Outputs of similar age from Lecture notes in computer science
#80
of 122 outputs
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So far Altmetric has tracked 8,129 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.