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Artificial Intelligence: 5th RAAI Summer School, Dolgoprudny, Russia, July 4–7, 2019, Tutorial Lectures de Gennady S. Osipov

Artificial Intelligence: 5th RAAI Summer School, Dolgoprudny, Russia, July 4–7, 2019, Tutorial Lectures: Lecture Notes in Computer Science, cartea 11866

Editat de Gennady S. Osipov, Aleksandr I. Panov, Konstantin S. Yakovlev
en Limba Engleză Paperback – 18 oct 2019
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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Specificații

ISBN-13: 9783030332730
ISBN-10: 303033273X
Pagini: 175
Ilustrații: X, 175 p. 76 illus., 29 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.27 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence

Locul publicării:Cham, Switzerland

Cuprins

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.  

Notă biografică

Institute of Physics and Technology (MIPT) campus in Dolgoprudny, a suburb of Moscow, Russia

Caracteristici

Made for students, researchers, and practioniers Original, readable and useful lecture notes Provides an overview of leading-edge research in methods and tools for use in computer system engineering