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Record Nr. |
UNISA996466275703316 |
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Titolo |
Artificial Intelligence [[electronic resource] ] : 5th RAAI Summer School, Dolgoprudny, Russia, July 4–7, 2019, Tutorial Lectures / / edited by Gennady S. Osipov, Aleksandr I. Panov, Konstantin S. Yakovlev |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
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ISBN |
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Edizione |
[1st ed. 2019.] |
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Descrizione fisica |
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1 online resource (x, 174 pages) : illustrations |
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Collana |
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Lecture Notes in Artificial Intelligence ; ; 11866 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Computers |
Software engineering |
Artificial Intelligence |
Information Systems and Communication Service |
Software Engineering/Programming and Operating Systems |
Theory of Computation |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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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Sommario/riassunto |
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This volume contains selected tutorial and young scientist school |
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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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