
Artificial Intelligence
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The 27 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 140 submissions. The conference deals with a wide range of topics, including data mining and knowledge discovery, text mining, reasoning, decisionmaking, natural language processing, vision, intelligent robotics, multi-agent systems,machine learning, AI in applied systems, and ontology engineering.
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Content
- Intro
- Preface
- Organization
- Contents
- Automated Reasoning and Data Mining
- Axiomatization of Classes of Domain Cases Based on FCA
- 1 Introduction
- 2 Preliminaries
- 2.1 Domain Cases
- 2.2 Formal Contexts of Axiomatizable Classes
- 2.3 Relatively Axiomatizable Classes
- 3 Axiomatization of Classes of Domain Cases
- 3.1 Sentences Permissible for Models
- 3.2 Theories of Classes of Models Having Different Signatures
- 3.3 Axiomatizable Classes and Decidability of Theories
- 4 Conclusion
- References
- The Combined Method of Automated Knowledge Acquisition from Various Sources: The Features of Development and Experimental Research of the Temporal Version
- 1 Introduction
- 2 The Evolution of the Combined Method of Knowledge Acquisition and Means of Its Implementation
- 3 Features of the Organization of Software Experiments Based on the Temporal Version of CMKA
- 3.1 General Organization of the «Language Experiment»
- 3.2 General Organization of Experiments with Temporal Database
- 3.3 Merging of Knowledge Field's Elements
- 4 Conclusion
- References
- Multi-agent Systems, Intelligent Robots and Behavior Planning
- Multi-agent Path Finding with Kinematic Constraints via Conflict Based Search
- 1 Introduction
- 2 Problem Statement
- 3 Suggested Approach
- 3.1 Conflict Based Search Algorithm
- 3.2 Continuous Conflict Based Search Algorithm
- 3.3 Safe Interval Path Planning with Rotations
- 3.4 Implementation Details
- 4 Experimental Evaluation
- 4.1 CCBS vs CCBS-kc
- 4.2 AA-SIPP(m) vs CCBS-kc
- 4.3 Comparison of Heuristic Functions
- 5 Conclusion
- References
- Map-Merging Algorithms for Visual SLAM: Feasibility Study and Empirical Evaluation
- 1 Introduction
- 2 Related Work
- 2.1 vSLAM Algorithms
- 2.2 Map-Merging Algorithms
- 3 Problem Statement
- 4 Methods and Metrics Overview
- 5 Experimental Evaluation and Results
- 5.1 Setup
- 5.2 Results
- 6 Conclusion
- References
- Can a Robot Be a Moral Agent?
- 1 Introduction
- 2 A Moral Agent
- 3 Phenomena and Mechanisms
- 3.1 Emotions and Needs
- 3.2 Model of the World, "I"
- 3.3 Imitative Behavior
- 3.4 Empathy
- 3.5 Characteristic Properties of Moral Agents
- 4 Conclusion
- References
- Navigating Autonomous Vehicle at the Road Intersection Simulator with Reinforcement Learning
- 1 Introduction
- 2 Related Works
- 3 Background
- 4 Environment Description
- 4.1 Technical Details
- 4.2 Actions
- 4.3 State
- 4.4 Reward Function
- 4.5 Environment Performance
- 5 Experiments
- 5.1 Results for Tracks Without Bots and States Represented as Vector
- 5.2 Results for Tracks Without Bots and States Represented as Image
- 5.3 Influence of Different Sets of Vectors Features on the Convergence of the Algorithms
- 5.4 Results for Tracks with Bots
- 6 Conclusion
- References
- Logic-Based Multi-agent Path Finding with Continuous Movements and the Sum of Costs Objective
- 1 Introduction
- 1.1 Previous Work
- 1.2 MAPF with Continuous Movements and Time
- 2 Solving MAPF with Continuous Time
- 2.1 Conflict-Based Search
- 2.2 A Satisfiability Modulo Theory Approach
- 2.3 RDD: Real Decision Diagram
- 2.4 SAT Encoding from RDD
- 2.5 Lazy Encoding of Mutex Refinements and Sum-of-Costs Bounds
- 3 Experimental Evaluation
- 3.1 Benchmarks and Setup
- 4 Discussion and Conclusion
- References
- Small Networks of MIMO Agents with Two Activity Types
- 1 Introduction
- 2 Model Description
- 2.1 Agent Characteristics
- 2.2 Two Factors of Influence on the Agent
- 2.3 Activity of Agents
- 2.4 Analysis of Model Parameters
- 3 Types of Activity Dynamics in Small Networks
- 4 Ensembles in Networks with Two Types of Activity
- 4.1 Homogeneous Ensembles
- 4.2 Universal Ensembles
- 4.3 Heterogeneous Ensembles
- 5 Generators of Rhythmic Activity
- 6 Conclusion
- References
- Fuzzy Models and Soft Computing
- Designing a Neural Network Primitive for Conditional Structural Transformations
- 1 Introduction
- 2 Distributed Representations of Symbolic Structures
- 3 Proposed Neural Design of Network with Conditional Branching
- 3.1 Network Architecture
- 3.2 Network Analysis
- 4 Evaluation of the Proposed Method
- 5 Conclusion
- References
- Incremental Structure-Evolving Intelligent Systems with Advanced Interpretational Properties
- 1 Introduction
- 2 Streaming Data and Takagi-Sugeno Model
- 3 Generalized Criterion Based Approach to ETS Design
- 4 Interpretational Criteria for Fuzzy Systems
- 5 Increment Clustering Based Approach to eTS Design
- 6 Online Implementation of Principles of eTS Design Based on Interpretability Restrictions
- 7 Incremental Restructuring of the ETS Model Rule Base
- 8 Computational Experiment
- 9 Conclusions
- References
- On Analytical Solutions to the Problems of Maintaining Local Consistency
- 1 Introduction
- 2 Related Works
- 3 Maintaining Local Consistency
- 4 Analytical Solutions to LPP
- 4.1 Knowledge Pattern with One Variable
- 4.2 Knowledge Pattern with Two Variables
- 5 Experiment
- 6 Conclusion
- References
- Abduction with Estimates for Statements in Fuzzy Propositional Logic
- 1 Introduction. Main Definitions
- 2 Logic of Estimates
- 3 Building Graphs G(Kb,N) for Knowledge Bases in Propositional Logic
- 4 Examples of Abductive Inferences Over Knowledge Bases in Propositional logic
- 5 Building Graphs ?(Kbe,M) for Knowledge Bases in Logic of Estimates
- 6 Examples of Abductive Inferences Over Knowledge Bases in Logic of Estimates
- 7 Conclusion
- References
- Complex Graphs in the Modeling of Multi-agent Systems: From Goal-Resource Networks to Fuzzy Metagraphs
- 1 Introduction
- 2 Motivation, Scope and Related Works
- 2.1 From Weighted Graphs to Resource Networks
- 2.2 Complex Graphs: Two Trends
- 3 A Case of Heterogeneous Graphs: Goal-Resource Networks
- 3.1 Ontological Basis of Agent. Types of Agents and Conditions of Their Efficient Interactions
- 3.2 Specification of Goal-Resource Network as an Heterogeneous Weighted Graph
- 4 Fuzzy Metagraph Models
- 4.1 Various Fuzzy Sets, Fuzzy Relations and Fuzzy Graphs
- 4.2 An Original Basu-Blanning Metagraph Model
- 4.3 A Hierarchical Metagraph Model with Metavertices and Meta-Edges
- 4.4 A Recursive Annotating Metagraph
- 5 Two Definitions of Fuzzy Metagraphs
- 6 Conclusion
- References
- Natural Language Processing and Understanding of Texts
- Automating Hierarchical Subject Index Construction for Scientific Documents
- 1 Introduction
- 2 Problems and Stages of Back-of-the-Book Indexing
- 3 Term Candidates Extraction
- 4 Selection of Terms
- 5 Identifying Subordinate Relations of Terms
- 6 Revealing Additional Index Terms and Semantic Relations
- 7 Determining Reference Pages
- 8 Conclusion and Future Work
- References
- Automatic Labelling of Genre-Specific Collections for Word Sense Disambiguation in Russian
- 1 Introduction
- 2 Related Work
- 3 Data
- 4 Candidate Selection and Ranking Algorithm
- 5 Generating Training Data Using Monosemous Relatives
- 6 Experiments
- 7 Conclusion
- References
- Revealing Implicit Relations in Russian Legal Texts
- 1 Introduction
- 2 Related Work
- 3 Legal Text Data Set
- 4 Models for Predicting Implicit Relations
- 5 Experiment Results
- 6 Conclusion and Future Work
- References
- Detection of Social Media Users Who Lead a Healthy Lifestyle
- 1 Introduction
- 2 Related Work
- 3 Dataset
- 3.1 Survey Data
- 3.2 Social Media Data
- 4 Features and Methods
- 4.1 Profile Information, Psycholinguistic Markers, and Dictionaries
- 4.2 N-grams
- 4.3 Subscription Matrix
- 4.4 Repost Matrix
- 4.5 Evaluation Setup
- 5 Results
- 6 Conclusion
- References
- The Influence of Different Methods on the Quality of the Russian-Tatar Neural Machine Translation
- 1 Introduction
- 2 Related Work
- 3 Datasets
- 4 Experiments
- 4.1 Model Size and Training Duration
- 4.2 Back-Translation
- 4.3 Transfer Learning
- 4.4 Comparison with Other Systems
- 5 Conclusions and Future Work
- References
- Ontology-Controlled Geometric Solver
- 1 Introduction
- 2 Materials and Methods
- 3 Results
- 4 Discussion
- 5 Related Work
- 6 Conclusions
- References
- Application of the BERT Language Model for Sentiment Analysis of Social Network Posts
- 1 Introduction
- 2 The Use of Machine Learning Algorithms in Sentiment Analysis of Social Network Data
- 3 An Approach to Sentiment Analysis of Social Network Data Using the "Word2vec" and "BERT" Models
- 3.1 The Algorithm for the Formation of the Training Set
- 3.2 Text Vectorization Algorithms
- 3.3 Neural Network Model for Sentiment Analysis of Text Fragments
- 4 Software Implementation and Experimental Results
- 4.1 An Example of the Training Dataset Formation
- 4.2 The Algorithm for the Formation of a Training Dataset
- 5 Conclusion
- References
- Keyword Extraction Approach Based on Probabilistic-Entropy, Graph, and Neural Network Methods
- 1 Introduction
- 2 Related Works
- 2.1 Statistical Methods of Automatic Keyword Extraction
- 2.2 Graph Methods of Automatic Keyword Extraction
- 3 Materials and Methods
- 3.1 Developed Approach Based on a Machine Learning
- 3.2 Data Description
- 4 Experiments
- 5 Results
- 6 Conclusion
- References
- Method of Selecting Experts Based on Analysis of Large Unstructured Data and Their Relations
- Abstract
- 1 Introduction
- 2 Related Works
- 3 The Method of Experts Selection
- 3.1 Publication Sampling
- 3.2 Construction of Reference Rank of Articles
- 3.3 Selection of Experts
- 4 Description of Experimental Studies
- 4.1 Initial Dataset
- 4.2 Evaluation Methodology
- 4.3 Recall Metric (R)
- 4.4 Precision Metric (P)
- 4.5 Algorithm Parameters
- 5 Experiment Results
- 5.1 Method 1
- 5.2 Method 2
- 5.3 Method 3
- 6 Conclusion
- References
- The Study of Argumentative Relations in Popular Science Discourse
- 1 Introduction
- 2 Annotation Model
- 3 Argumentative Relations
- 3.1 Argumentative Relations in Popular Science Discourse
- 4 Study of Correlation Between Rhetorical and Argumentative Structures
- 5 Conclusion
- References
- Method for Detecting Text Markers of Depression and Depressiveness
- 1 Introduction
- 2 Related Work
- 3 Method and Procedure
- 4 Results
- 5 Conclusion
- References
- Distributional Models in the Task of Hypernym Discovery
- 1 Introduction
- 2 Related Work
- 3 Data Overview
- 3.1 RuWordNet
- 3.2 Pre-trained Models
- 4 The Baseline and Our Approach
- 4.1 Baseline
- 4.2 Proposed Improvements
- 4.3 Out-of-Vocabulary Analysis
- 4.4 Attempting to Train BERT
- 5 Results
- 6 Conclusion
- References
- Analysis of the Persuasiveness of Argumentation in Popular Science Texts
- 1 Introduction
- 2 Argumentation Modeling
- 3 Analysis of Argumentation Persuasiveness
- 4 Calculation of the Persuasiveness of Arguments
- 4.1 Computational Model
- 4.2 Conflicts
- 5 Experimental Studies of Argumentation Persuasiveness
- 6 Conclusion
- References
- Intelligent Systems and Applications
- Intelligent Information Search Method Based on a Compositional Ontological Approach
- 1 Introduction
- 2 Compositional Ontological Model for Generalization and Semantic Integration of Structured, Weakly Structured and Unstructured Data
- 3 Description of the Method of Intelligent Information Search Based on a Composite Ontological Model
- 4 Results of Applying the Method Intelligent Information Search
- 5 Conclusion
- References
- Format and Usage Model of Security Patterns in Ontology-Driven Threat Modelling
- 1 Introduction
- 2 Ontological Format (Schema) of Security Patterns
- 3 Usage Model of Security Patterns
- 4 Implementation
- 5 Related Work
- 6 Conclusions
- References
- Assessment of the Technological Process Condition Based on the Assembly of Deep Recurrent Neural Networks
- 1 Introduction
- 2 Problem Statement
- 3 Materials and Methods
- 4 Results and Discussions
- 5 Conclusion
- References
- The Concept of Support for Laser-Based Additive Manufacturing on the Basis of Artificial Intelligence Methods
- 1 Introduction
- 2 Tools for Supporting Operators of Metal-Based AM Equipment
- 3 Decision Support Software for Laser-Based Additive Manufacturing Processes
- 3.1 Information Components
- 3.2 Software Components
- 4 Conclusion
- References
- Artificial Intelligence, Biotechnology and Medicine: Reality, Myths and Trends
- 1 Introduction
- 2 Artificial Intelligence in Healthcare, Biotechnology and Pharmaceutical Industry
- 2.1 Forecasts of Experts and Myths About Using AI
- 2.2 Organizations and Projects
- 2.3 AI Technologies for Analysis of Texts in Social Networks and Electronic Health Records
- 2.4 Scientometrics and Patent Landscapes of the Use of AI in Medicine, Biotechnology and Pharmaceutical Industry
- 2.5 Scientometrics of AI Technologies Publications in Medicine - Up to Date Results
- 3 Conclusion
- References
- Application of LP Structures Theory to Intelligent Attribute Merger Refactoring
- 1 Introductions
- 2 LP Structures on Type Lattices
- 3 Extending the Model
- 3.1 Attribute Merging Control
- 3.2 Extended Type Lattice
- 4 Model Application
- 5 Conclusion
- References
- Development of Prototype of Natural Language Answer Processor for e-Learning
- 1 Introduction
- 2 Related Work
- 3 Conceptual Model
- 3.1 Methodology
- 3.2 Answer Processing Algorithm
- 4 Prototype Development and Evaluation
- 4.1 Software Implementation
- 4.2 Prototype Evaluation
- 5 Conclusion
- References
- Intelligent Systems with Restricted Autonomy
- 1 Introduction
- 2 Dual Intelligent System
- 2.1 Data Exchange Between Two Systems
- 2.2 Example of Inadmissible Breach
- 2.3 Knowledge Description in Category Theory
- 2.4 Correction of Knowledge Base for DIAS Is Possible
- 2.5 Problems of Correction
- 2.6 Suspicious Changes in the Knowledge Base
- 2.7 Special Features of Knowledge Bases of Dynamic Expert Systems
- 3 Conclusion
- References
- Invariance Preserving Control of Clusters Recognized in Networks of Kuramoto Oscillators
- 1 Introduction
- 1.1 Paper Contribution
- 1.2 Paper Organization
- 2 Clustering in Multi-agent Networks
- 3 The Kuramoto Model as a Multi-agent Network
- 3.1 Coupling
- 3.2 Mesoscopic Control
- 4 Simulations
- 5 Conclusion
- References
- Author Index
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