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Logic Programs, Norms and Action

Overview of attention for book
Cover of 'Logic Programs, Norms and Action'

Table of Contents

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    Book Overview
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    Chapter 1 Marek Sergot: A Memoir
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    Chapter 2 The Scientific Contribution of Marek Sergot
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    Chapter 3 Teleo-Reactive Abductive Logic Programs
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    Chapter 4 Semi-negative Abductive Logic Programs with Implicative Integrity Constraints: Semantics and Properties
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    Chapter 5 What Is Negation as Failure?
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    Chapter 6 The Importance of the Past in Interval Temporal Logics: The Case of Propositional Neighborhood Logic
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    Chapter 7 Argumentation and the Event Calculus
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    Chapter 8 Reactive Event Calculus for Monitoring Global Computing Applications
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    Chapter 9 Reasoning about the Intentions of Agents
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    Chapter 10 Symbolic Model Checking for Temporal-Epistemic Logic
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    Chapter 11 GOAL Agents Instantiate Intention Logic
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    Chapter 12 Open Texture and Argumentation: What Makes an Argument Persuasive?
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    Chapter 13 Irrationality in Persuasive Argumentation
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    Chapter 14 Some Reflections on Two Current Trends in Formal Argumentation
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    Chapter 15 On the Representation of Normative Sentences in FOL
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    Chapter 16 Why Be Afraid of Identity?
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    Chapter 17 Deon  +  : Abduction and Constraints for Normative Reasoning
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    Chapter 18 Contrary-To-Duties in Games
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    Chapter 19 Logical Approaches to Authorization Policies
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    Chapter 20 Decentralized Governance of Distributed Systems via Interaction Control
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    Chapter 21 Managing User-Generated Content as a Knowledge Commons
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Citations

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Title
Logic Programs, Norms and Action
Published by
Lecture notes in computer science, January 2012
DOI 10.1007/978-3-642-29414-3
ISBNs
978-3-64-229413-6, 978-3-64-229414-3
Authors

Artikis, Alexander, Craven, Robert, Kesim Çiçekli, Nihan, Sadighi, Babak, Stathis, Kostas

Editors

Alexander Artikis, Robert Craven, Nihan Kesim Cicekli, Babak Sadighi, Kostas Stathis

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
New Zealand 1 50%
Unknown 1 50%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 100%
Readers by discipline Count As %
Computer Science 2 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 September 2012.
All research outputs
#14,247,377
of 22,844,985 outputs
Outputs from Lecture notes in computer science
#4,312
of 8,126 outputs
Outputs of similar age
#153,961
of 244,595 outputs
Outputs of similar age from Lecture notes in computer science
#228
of 490 outputs
Altmetric has tracked 22,844,985 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,126 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 44th percentile – i.e., 44% 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 244,595 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 490 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.