Artificial Intelligence

Name: Artificial Intelligence | 18th Russian Conference, RCAI 2020, Moscow, Russia, October 10-16, 2020, Proceedings
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18th Russian Conference, RCAI 2020, Moscow, Russia, October 10-16, 2020, Proceedings

Sergei O. Kuznetsov Aleksandr I. Panov Konstantin S. Yakovlev(Herausgeber*in)

Springer (Verlag)

Erschienen am 21. September 2020

XII, 488 Seiten

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Inhalt

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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