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Advances in Artificial Intelligence – SBIA 2010

Overview of attention for book
Cover of 'Advances in Artificial Intelligence – SBIA 2010'

Table of Contents

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    Book Overview
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    Chapter 1 Ontological Primitives for Visual Knowledge
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    Chapter 2 A Semi-automatic Method for Domain Ontology Extraction from Portuguese Language Wikipedia’s Categories
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    Chapter 3 Ontology Reasoning in Agent-Oriented Programming
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    Chapter 4 System Design Modification with Actions
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    Chapter 5 Learning Terminologies in Probabilistic Description Logics
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    Chapter 6 Knowledge-Based System for the Maintenance Registration and Consistency among UML Diagrams
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    Chapter 7 Semantic Mapping with a Probabilistic Description Logic
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    Chapter 8 Markov Decision Processes from Colored Petri Nets
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    Chapter 9 Incremental Learning of Multivariate Gaussian Mixture Models
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    Chapter 10 Bayesian Network Structure Inference with an Hierarchical Bayesian Model
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    Chapter 11 On the Construction of Synthetic Characters with Personality and Emotion
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    Chapter 12 Towards Automated Trading Based on Fundamentalist and Technical Data
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    Chapter 13 Developing a Consciousness-Based Mind for an Artificial Creature
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    Chapter 14 Simulating the Emergence of Social Relationship Networks in Groups of Believable Agents: The X-BARIM Model
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    Chapter 15 Using Jason to Develop Normative Agents
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    Chapter 16 Improving Space Representation in Multiagent Learning via Tile Coding
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    Chapter 17 Factored Translation between Brazilian Portuguese and English
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    Chapter 18 Question Answering for Portuguese: How Much Is Needed?
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    Chapter 19 Planning for Multi-robot Localization
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    Chapter 20 Symbolic Bounded Real-Time Dynamic Programming
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    Chapter 21 An Adaptive Genetic Algorithm to the Single Machine Scheduling Problem with Earliness and Tardiness Penalties
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    Chapter 22 A Dijkstra Algorithm for Fixed-Wing UAV Motion Planning Based on Terrain Elevation
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    Chapter 23 Feasible UAV Path Planning Using Genetic Algorithms and Bézier Curves
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    Chapter 24 High-Level Modeling of Component-Based CSPs
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    Chapter 25 Improving the Distributed Constraint Optimization Using Social Network Analysis
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    Chapter 26 A Survey and Classification of A* Based Best-First Heuristic Search Algorithms
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    Chapter 27 A Sequent Calculus for 3-Dimensional Space
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    Chapter 28 Intuitionistic Fuzzy Probability
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    Chapter 29 A Proof System for Temporal Reasoning with Sequential Information
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    Chapter 30 A Refuted Conjecture on Probabilistic Satisfiability
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    Chapter 31 A Logic for Conceptual Hierarchies
Overall attention for this book and its chapters
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Mentioned by

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Citations

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Readers on

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9 Mendeley
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Title
Advances in Artificial Intelligence – SBIA 2010
Published by
ADS, October 2010
DOI 10.1007/978-3-642-16138-4
ISBNs
978-3-64-216137-7, 978-3-64-216138-4
Editors

Rocha Costa, Antônio Carlos, Vicari, Rosa Maria, Tonidandel, Flavio

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 11%
Unknown 8 89%
Readers by discipline Count As %
Computer Science 1 11%
Unknown 8 89%

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 11 January 2015.
All research outputs
#11,927,448
of 13,451,832 outputs
Outputs from ADS
#20,435
of 22,375 outputs
Outputs of similar age
#236,388
of 271,404 outputs
Outputs of similar age from ADS
#94
of 111 outputs
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So far Altmetric has tracked 22,375 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 111 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.