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Multiparadigm Programming in Mozart/Oz

Overview of attention for book
Cover of 'Multiparadigm Programming in Mozart/Oz'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 The Development of Oz and Mozart
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    Chapter 2 The Structure of Authority: Why Security Is Not a Separable Concern
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    Chapter 3 The Oz-E Project: Design Guidelines for a Secure Multiparadigm Programming Language
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    Chapter 4 A Program Verification System Based on Oz
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    Chapter 5 Higher Order Programming for Unordered Minds
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    Chapter 6 Compiling Formal Specifications to Oz Programs
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    Chapter 7 Deriving Acceptance Tests from Goal Requirements
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    Chapter 8 Using Mozart for Visualizing Agent-Based Simulations
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    Chapter 9 Web Technologies for Mozart Applications
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    Chapter 10 Overcoming the Multiplicity of Languages and Technologies for Web-Based Development Using a Multi-paradigm Approach
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    Chapter 11 P2PS: Peer-to-Peer Development Platform for Mozart
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    Chapter 12 Thread-Based Mobility in Oz
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    Chapter 13 A Fault Tolerant Abstraction for Transparent Distributed Programming
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    Chapter 14 The CURRENT Platform: Building Conversational Agents in Oz
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    Chapter 15 The Metagrammar Compiler: An NLP Application with a Multi-paradigm Architecture
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    Chapter 16 The XDG Grammar Development Kit
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    Chapter 17 Solving CSP Including a Universal Quantification
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    Chapter 18 Compositional Abstractions for Search Factories
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    Chapter 19 Implementing Semiring-Based Constraints Using Mozart
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    Chapter 20 A Mozart Implementation of CP(BioNet)
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    Chapter 21 Playing the Minesweeper with Constraints
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    Chapter 22 Using Constraint Programming for Reconfiguration of Electrical Power Distribution Networks
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    Chapter 23 Strasheela: Design and Usage of a Music Composition Environment Based on the Oz Programming Model
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    Chapter 24 Solving the Aircraft Sequencing Problem Using Concurrent Constraint Programming
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    Chapter 25 The Problem of Assigning Evaluators to the Articles Submitted in an Academic Event: A Practical Solution Incorporating Constraint Programming and Heuristics
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    Chapter 26 An Interactive Tool for the Controlled Execution of an Automated Timetabling Constraint Engine
Overall attention for this book and its chapters
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
10 Mendeley
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Title
Multiparadigm Programming in Mozart/Oz
Published by
Lecture notes in computer science, January 2004
DOI 10.1007/b106627
ISBNs
978-3-54-025079-1, 978-3-54-031845-3
Editors

Peter Van Roy

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 10%
Unknown 9 90%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 30%
Student > Ph. D. Student 2 20%
Researcher 2 20%
Student > Master 1 10%
Professor 1 10%
Other 0 0%
Unknown 1 10%
Readers by discipline Count As %
Computer Science 5 50%
Engineering 2 20%
Business, Management and Accounting 1 10%
Arts and Humanities 1 10%
Unknown 1 10%

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 02 February 2017.
All research outputs
#8,938,158
of 14,262,880 outputs
Outputs from Lecture notes in computer science
#4,082
of 7,444 outputs
Outputs of similar age
#152,368
of 265,314 outputs
Outputs of similar age from Lecture notes in computer science
#55
of 109 outputs
Altmetric has tracked 14,262,880 research outputs across all sources so far. This one is in the 24th percentile – i.e., 24% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 265,314 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 109 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.