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Artificial intelligence5th RAAI Summ...
~
(1998 :)
Artificial intelligence5th RAAI Summer School, Dolgoprudny, Russia, July 4-7, 2019 : tutorial lectures /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Artificial intelligenceedited by Gennady S. Osipov, Aleksandr I. Panov, Konstantin S. Yakovlev.
Reminder of title:
5th RAAI Summer School, Dolgoprudny, Russia, July 4-7, 2019 : tutorial lectures /
other author:
Osipov, Gennady S.
corporate name:
Published:
Cham :Springer International Publishing :2019.
Description:
x, 175 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Artificial intelligence
Online resource:
https://doi.org/10.1007/978-3-030-33274-7
ISBN:
9783030332747$q(electronic bk.)
Artificial intelligence5th RAAI Summer School, Dolgoprudny, Russia, July 4-7, 2019 : tutorial lectures /
Artificial intelligence
5th RAAI Summer School, Dolgoprudny, Russia, July 4-7, 2019 : tutorial lectures /[electronic resource] :edited by Gennady S. Osipov, Aleksandr I. Panov, Konstantin S. Yakovlev. - Cham :Springer International Publishing :2019. - x, 175 p. :ill., digital ;24 cm. - Lecture notes in computer science,118660302-9743 ;. - Lecture notes in computer science ;4891..
Hybrid Intelligent Systems Based on Fuzzy Logic and Deep Learning -- Data Science: Similarity, Dissimilarity and Correlation Functions,- Mathematical Foundation of Cognitive Computing Based Artificial Intelligence -- A Review of Motivational Systems and Emotions in Cognitive Architectures and Systems -- Selected Challenges in Grammar-based Text Generation from the Semantic Web -- Multi-Agent Path Finding - An Overview -- The Use of Reinforcement Learning in the Task of Moving Objects with the Robotic Arm -- Ontology Models in Intelligent System Engineering: A Case of the Knowledge-intensive Application domain -- Automated Acquisition, Representation and Processing of Temporal Knowledge in Dynamic Intelligent Systems -- Natural Language Processing with DeepPavlov Library and Additional Semantic Features -- Toward Faster Reinforcement Learning for Robotics: Using Gaussian Processes.
This volume contains selected tutorial and young scientist school papers of the 5th RAAI Summer School on Artificial Intelligence, held in July 2019 at Institute of Physics and Technology (MIPT) campus in Dolgoprudny, a suburb of Moscow, Russia. The 11 chapters in this volume present papers focusing on various important aspects of Multiagent systems; Behavior planning; Natural language processing; Modeling of reasoning; and Machine learning and data analysis.
ISBN: 9783030332747$q(electronic bk.)
Standard No.: 10.1007/978-3-030-33274-7doiSubjects--Topical Terms:
252958
Artificial intelligence
LC Class. No.: Q334 / .R33 2019
Dewey Class. No.: 006.3
Artificial intelligence5th RAAI Summer School, Dolgoprudny, Russia, July 4-7, 2019 : tutorial lectures /
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Hybrid Intelligent Systems Based on Fuzzy Logic and Deep Learning -- Data Science: Similarity, Dissimilarity and Correlation Functions,- Mathematical Foundation of Cognitive Computing Based Artificial Intelligence -- A Review of Motivational Systems and Emotions in Cognitive Architectures and Systems -- Selected Challenges in Grammar-based Text Generation from the Semantic Web -- Multi-Agent Path Finding - An Overview -- The Use of Reinforcement Learning in the Task of Moving Objects with the Robotic Arm -- Ontology Models in Intelligent System Engineering: A Case of the Knowledge-intensive Application domain -- Automated Acquisition, Representation and Processing of Temporal Knowledge in Dynamic Intelligent Systems -- Natural Language Processing with DeepPavlov Library and Additional Semantic Features -- Toward Faster Reinforcement Learning for Robotics: Using Gaussian Processes.
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This volume contains selected tutorial and young scientist school papers of the 5th RAAI Summer School on Artificial Intelligence, held in July 2019 at Institute of Physics and Technology (MIPT) campus in Dolgoprudny, a suburb of Moscow, Russia. The 11 chapters in this volume present papers focusing on various important aspects of Multiagent systems; Behavior planning; Natural language processing; Modeling of reasoning; and Machine learning and data analysis.
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Computer Science (Springer-11645)
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EB Q334 .R111 2019 2019
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https://doi.org/10.1007/978-3-030-33274-7
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