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Artificial Intelligence

Overview of attention for book
Artificial Intelligence
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 Modeling the Structure of MIMO-Agents and Their Interactions
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    Chapter 2 Redistributing Animats Between Groups
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    Chapter 3 Hierarchical Reinforcement Learning with Clustering Abstract Machines
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    Chapter 4 Hierarchical Control Architecture for a Learning Robot Based on Heterogenic Behaviors
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    Chapter 5 Stock Prices Forecasting with LSTM Networks
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    Chapter 6 Using a Hamming Neural Network to Predict Bond Strength of Welded Connections
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    Chapter 7 Thematic Mapping and Evaluation of Temporary Sequence of Multi-zone Satellite Images
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    Chapter 8 Hierarchical Representation of Information Objects in a Digital Library Environment
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    Chapter 9 Extended Stepping Theories of Active Logic: Declarative Semantics
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    Chapter 10 Logical Classification of Partially Ordered Data
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    Chapter 11 Ontology-Driven Processing of Unstructured Text
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    Chapter 12 Towards Automated Identification of Technological Trajectories
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    Chapter 13 Development of the Lexicon of Argumentation Indicators
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    Chapter 14 A Technique to Pre-trained Neural Network Language Model Customization to Software Development Domain
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    Chapter 15 Predicting Personality Traits from Social Network Profiles
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    Chapter 16 Extraction of Cognitive Operations from Scientific Texts
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    Chapter 17 Evolutionary Design of Fuzzy Systems Based on Multi-objective Optimization and Dempster-Shafer Schemes
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    Chapter 18 Randomized General Indices for Evaluating Damage Through Malefactor Social Engineering Attacks
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    Chapter 19 Multiclass Classification Based on the Convolutional Fuzzy Neural Networks
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    Chapter 20 Algebraic Bayesian Networks: Naïve Frequentist Approach to Local Machine Learning Based on Imperfect Information from Social Media and Expert Estimates
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    Chapter 21 Inference Methods for One Class of Systems with Many Fuzzy Inputs
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    Chapter 22 Chaotic Phenomena in Collective Behavior
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    Chapter 23 Data Collection and Preparation of Training Samples for Problem Diagnosis of Vision Pathologies
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    Chapter 24 Using Ontology Engineering Methods for Organizing the Information Interaction Between Relational Databases
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    Chapter 25 Technology of Personalized Preventive Recommendation Formation Based on Disease Risk Assessment
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    Chapter 26 Constructing Features of Competence-Oriented Specialist Models Based on Tutoring Integrated Expert Systems Technology
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    Chapter 27 UAV Trajectory Tracking Based on Local Interpolating Splines and Optimal Choice of Knots
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    Chapter 28 Spatial Clustering Based on Analysis of Big Data in Digital Marketing
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    Chapter 29 Ontology-Based Approach to Organizing the Support for the Analysis of Argumentation in Popular Science Discourse
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    Chapter 30 Ontological Approach to Providing Intelligent Support for Solving Compute-Intensive Problems on Supercomputers
Overall attention for this book and its chapters
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Readers on

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Artificial Intelligence
Published by
Springer International Publishing, January 2019
DOI 10.1007/978-3-030-30763-9
978-3-03-030762-2, 978-3-03-030763-9

Sergei O. Kuznetsov, Aleksandr I. Panov

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Student > Bachelor 2 29%
Student > Doctoral Student 1 14%
Student > Master 1 14%
Unknown 1 14%
Readers by discipline Count As %
Computer Science 2 29%
Linguistics 1 14%
Physics and Astronomy 1 14%
Engineering 1 14%
Unknown 2 29%