| Vol-3044 urn:nbn:de:0074-3044-4 Copyright © 2021 for the individual papers by the papers' authors. Copyright © 2021 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# RAAI 2021
Russian Advances in Artificial Intelligence at RCAI 2021

### Proceedings of Selected Contributions to the Russian Advances in Artificial Intelligence Track at RCAI 2021,
co-located with the 19th Russian Conference on Artificial Intelligence (RCAI 2021)

### Taganrog, Russia, October 11-16, 2021.

Edited by

### Vadim V. Borisov *
Boris A. Kobrinskii **

* Branch of the National Research University Moscow Power Engineering Institute in Smolensk, Energetichesky proezd 1, Smolensk, 214013, Russia
** Russian National Research Medical University. N.I. Pirogov Ministry of Health of the Russian Federation, Moscow, 117312, Prospect 60th anniversary of October, 9

## Table of Contents

- Cover
- Preface
  Summary: There were 24 papers submitted for peer-review to this conference. Out of these, 13 papers were accepted for this volume, all 13 as regular papers.
- Committees
- Contents

- Building and Studying a Model of the Human Cognitive Activity Dynamics 1-7
  Natalya Bodrina, Konstantin Sidorov, Natalya Filatova
- Fuzzy Situational Control of Complex Technical Systems based on Composite Hybrid Models 8-17
  Vadim Borisov, Daria Avramenko
- Hybrid Neural-Fuzzy Resource Managing in Parallel Computing Systems 18-25
  Yaroslav Fedulov, Anastasiya Fedulova
- The Principles of Creation an Intelligent System for Solving Criminalistics Problems 26-32
  Svetlana Gusakova, Natalia Ogoreltseva
- Co-evolutionary Algorithm for the Placement of VLSI Elements 33-39
  Oleg Lebedev, Artemy Zhiglaty
- On the Logical Approach to the Rationality of an Intelligent Agent 40-47
  Maria Mikheyenkova
- Expert System for Multidimensional Time Series Anomaly Detection 48-54
  Boris Palyukh, Alexander Vetrov
- The Spot Model for Representation and Processing of Qualitative Data and Semantic Information 55-69
  Nikolai Simonov
- Evaluation of Intellectual Capital in R&D-intensive Companies: an Ontology-based Approach 70-80
  Olga Stoianova, Valeriia Moskaleva
- Semilattices Category and Data Representations for Algebraic Machine Learning 81-88
  Dmitry Vinogradov
- Acquisition and Enrichment of a Subject Domain Thesaurus from a Sample of Scientific Abstracts 89-97
  Alexander Voinov
- AI: “...It Sails. But Whither Do We Sail?...” 98-107
  Michael Zabezhailo, Victor Finn, Maria Mikheyenkova
- Application of Ontology Design Patterns for Building an Ontology of Decision Support in Weakly Formalized Domains 108-116
  Yury Zagorulko, Galina Zagorulko

2021-12-14: submitted by Vadim Borisov, metadata incl. bibliographic data published under Creative Commons CC0
2021-12-16: published on CEUR-WS.org |valid HTML5|