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KI 2014: Advances in Artificial Intelligence

Overview of attention for book
Cover of 'KI 2014: Advances in Artificial Intelligence'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 The Ditmarsch Tale of Wonders
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    Chapter 2 Allocation in Practice
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    Chapter 3 Applying Inductive Program Synthesis to Induction of Number Series A Case Study with IGOR2
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    Chapter 4 Algorithmic Debugging and Literate Programming to Generate Feedback in Intelligent Tutoring Systems
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    Chapter 5 A Note on Chances and Limitations of Psychometric AI
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    Chapter 6 Applying AI for Modeling and Understanding Analogy-Based Classroom Teaching Tools and Techniques
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    Chapter 7 Automatic Identification of Human Strategies by Cognitive Agents
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    Chapter 8 Environment-Adaptive Learning: How Clustering Helps to Obtain Good Training Data
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    Chapter 9 Fast Semantic Segmentation of RGB-D Scenes with GPU-Accelerated Deep Neural Networks
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    Chapter 10 Energy-Efficient Routing: Taking Speed into Account
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    Chapter 11 CDCL Solver Additions: Local Look-Ahead, All-Unit-UIP Learning and On-the-Fly Probing
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    Chapter 12 Formula Simplifications as DRAT Derivations
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    Chapter 13 A More Compact Translation of Pseudo-Boolean Constraints into CNF Such That Generalized Arc Consistency Is Maintained
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    Chapter 14 Matching with Respect to General Concept Inclusions in the Description Logic $\mathcal{EL}$
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    Chapter 15 Evaluating Practical Automated Negotiation Based on Spatial Evolutionary Game Theory
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    Chapter 16 Towards a New Semantics for Possibilistic Answer Sets
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    Chapter 17 Reasoning in ${\mathcal{ALC}}$ with Fuzzy Concrete Domains
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    Chapter 18 A Stream-Temporal Query Language for Ontology Based Data Access
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    Chapter 19 Towards Large-Scale Inconsistency Measurement
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    Chapter 20 On the Scope of Qualitative Constraint Calculi
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    Chapter 21 From Intelligibility to Debuggability in Context-Aware Systems
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    Chapter 22 Towards a Trace Index Based Workflow Similarity Function
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    Chapter 23 Local Feature Extractors Accelerating HNNP for Phoneme Recognition
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    Chapter 24 Parallel Fitting of Additive Models for Regression
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    Chapter 25 Multi-stage Constraint Surrogate Models for Evolution Strategies
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    Chapter 26 Evolutionary Turbine Selection for Wind Power Predictions
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    Chapter 27 Planning in the Wild: Modeling Tools for PDDL
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    Chapter 28 Monte-Carlo Tree Search for 3D Packing with Object Orientation
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    Chapter 29 An Experimental Comparison of Classical, FOND and Probabilistic Planning
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    Chapter 30 Minimizing Necessary Observations for Nondeterministic Planning
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
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 X user
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1 Facebook page

Readers on

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21 Mendeley
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Title
KI 2014: Advances in Artificial Intelligence
Published by
Lecture notes in computer science, January 2014
DOI 10.1007/978-3-319-11206-0
ISBNs
978-3-31-911205-3, 978-3-31-911206-0
Authors

Carsten Lutz, Michael Thielscher

Editors

Carsten Lutz, Michael Thielscher

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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 5%
Unknown 20 95%
Readers by discipline Count As %
Engineering 1 5%
Unknown 20 95%
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 29 January 2017.
All research outputs
#14,860,134
of 22,886,568 outputs
Outputs from Lecture notes in computer science
#4,544
of 8,127 outputs
Outputs of similar age
#183,544
of 305,710 outputs
Outputs of similar age from Lecture notes in computer science
#157
of 280 outputs
Altmetric has tracked 22,886,568 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 42nd percentile – i.e., 42% 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 305,710 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 280 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.