Artificial Intelligence

5th RAAI Summer School, Dolgoprudny, Russia, July 4–7, 2019, Tutorial Lectures

AvGennady S. Osipov,Aleksandr I. Panov

Häftad, Engelska, 2019

Del 11866 i serien Lecture Notes in Computer Science

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2019-10-18
Mått:155 x 235 x 11 mm
Vikt:295 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:175
Förlag:Springer Nature Switzerland AG
ISBN:9783030332730

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Programvaruutveckling inom Data och IT
Artificiell intelligens inom Data och IT

Mer om författaren

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

Innehållsförteckning

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.