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Artificial intelligence : 17th Russian Conference, RCAI 2019, Ulyanovsk, Russia, October 21-25, 2019, Proceedings

Author: Sergei O Kuznetsov; Aleksandr I Panov
Publisher: Cham : Springer, 2019.
Series: Communications in computer and information science, 1093.
Edition/Format:   eBook : Document : Conference publication : EnglishView all editions and formats
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Genre/Form: Electronic books
Conference papers and proceedings
Congresses
Material Type: Conference publication, Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Sergei O Kuznetsov; Aleksandr I Panov
ISBN: 9783030307639 3030307638
OCLC Number: 1123194179
Notes: International conference proceedings.
Includes author index.
Description: 1 online resource (xiii, 378 pages) : illustrations (some color).
Contents: Intro; Preface; Organization; Contents; Multi-Agent Systems, Intelligent Robots and Behavior Planning; Modeling the Structure of MIMO-Agents and Their Interactions; Abstract; 1 Introduction; 2 Model Description; 2.1 The Main Entities of the Model; 2.2 Network Structure; 2.3 Types of Agent Interests; 3 Network Operation; 3.1 Activity Propagation and Dynamic Weight Component of Influence; 3.2 Transformer Slots; 3.3 Agent Activity; 4 Examples of Activity Propagation in the Network; 5 Conclusion; References; Redistributing Animats Between Groups; Abstract; 1 Introduction 2 The Behavior of Slaves and Slave-Makers3 Models and Mechanisms for the Implementation of Certain Types of Behavior; 3.1 Previously Created Models and Methods; 3.2 New Mechanisms and Methods; 4 Simulation Experiments; 5 Conclusion; Acknowledgments; References; Hierarchical Reinforcement Learning with Clustering Abstract Machines; 1 Introduction; 2 Background; 2.1 Reinforcement Learning with HAMs; 2.2 Bottlenecks; 3 Clustering HAMs; 3.1 Algorithms; 4 Experiments; 4.1 Dangerous Rooms Domain; 4.2 Learning; 4.3 Transfer Learning; 5 Conclusion; References Hierarchical Control Architecture for a Learning Robot Based on Heterogenic BehaviorsAbstract; 1 Introduction; 2 Control Architecture; 3 Basic Algorithms and the Problem Under Consideration; 4 Experimental Base; 5 Computational Experiments; 6 Conclusion; Acknowledgements; References; Automated Reasoning and Data Mining; Stock Prices Forecasting with LSTM Networks; Abstract; 1 Introduction; 2 Materials and Methods; 2.1 Data Representation; 2.2 Proposed LSTM Model; 3 Experiment; 4 Results and Discussion; References; Using a Hamming Neural Network to Predict Bond Strength of Welded Connections Abstract1 Introduction; 2 Methodological Approach; 3 Neural Network Building Algorithm; 4 Computer Simulation of the Neural Network; 5 Conclusion; Acknowledgment; References; Thematic Mapping and Evaluation of Temporary Sequence of Multi-zone Satellite Images; Abstract; 1 Introduction; 2 Factorization Segmentation Algorithm; 3 Neural Network Segmentation Algorithm; 4 Comparative Analysis of the Results; 5 Synthesis of Filtering Results; 6 Analysis of the Filtering Results; 7 Conclusion; References; Hierarchical Representation of Information Objects in a Digital Library Environment; Abstract 1 Introduction2 Elements of Hierarchical Levels of Information Objects; 2.1 Examples of Information Objects of Various Hierarchical Levels in a Digital Library Environment; 3 Conclusion; References; Extended Stepping Theories of Active Logic: Declarative Semantics; Abstract; 1 Introduction; 2 Extended Stepping Theories of Active Logic; 3 Argumentation Semantics for Extended Stepping Theories; 4 Declarative Semantics for Extended Stepping Theories of Active Logic; 5 Paraconsistentency of Declarative Semantics for Extended Stepping Theories of Active Logic; 6 Conclusion; Acknowledgment
Series Title: Communications in computer and information science, 1093.
Other Titles: RCAI 2019
Responsibility: Sergei O. Kuznetsov, Aleksandr I. Panov (eds.).

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