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Artificial Intelligence

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Cover of 'Artificial Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Hybrid Intelligent Systems Based on Fuzzy Logic and Deep Learning
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    Chapter 2 Data Science: Similarity, Dissimilarity and Correlation Functions
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    Chapter 3 Mathematical Foundation of Cognitive Computing Based Artificial Intelligence
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    Chapter 4 A Review of Motivational Systems and Emotions in Cognitive Architectures and Systems
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    Chapter 5 Selected Challenges in Grammar-Based Text Generation from the Semantic Web
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    Chapter 6 Multi-Agent Path Finding – An Overview
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    Chapter 7 The Use of Reinforcement Learning in the Task of Moving Objects with the Robotic Arm
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    Chapter 8 Ontology Models in Intelligent System Engineering: A Case of the Knowledge-Intensive Application Domain
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    Chapter 9 Automated Acquisition, Representation and Processing of Temporal Knowledge in Dynamic Intelligent Systems
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    Chapter 10 Natural Language Processing with DeepPavlov Library and Additional Semantic Features
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    Chapter 11 Toward Faster Reinforcement Learning for Robotics: Using Gaussian Processes
Attention for Chapter 9: Automated Acquisition, Representation and Processing of Temporal Knowledge in Dynamic Intelligent Systems
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Chapter title
Automated Acquisition, Representation and Processing of Temporal Knowledge in Dynamic Intelligent Systems
Chapter number 9
Book title
Artificial Intelligence
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-030-33274-7_9
Book ISBNs
978-3-03-033273-0, 978-3-03-033274-7
Authors

Galina V. Rybina, Elena S. Fontalina

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