RCAI is the annual conference organized by Russian Association for Artificial Intelligence, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Southern Federal University, Institute of Control Sciences Academician V.A. Trapeznikov and held since 1988. RCAI covers a whole range of AI sub-disciplines: Machine Learning, Reasoning, Planning, Natural Language Processing etc. Before 2018 despite the international status of the conference proceedings were published in Russian and were indexed in the Russian Science Citation Index. Since 2018, English-language versions of conference papers are published in the Springer proceedings. Recent conference history includes RCAI 2020 in Moscow, RCAI 2019 in Ulyanovsk, RCAI 2018 in Voronovo, Moscow, RCAI 2016 in Smolensk, RCAI 2014 in Kazan.

A volume of English language articles on the Springer site
Lecture Notes in Computer Science book series (LNCS, volume 12948) – https://link.springer.com/book/10.1007/978-3-030-86855-0.

Important dates

  • Submission and registration open: since 20 January 2021
  • All kinds of submissions (all venues via EasyChair) due: 30 April 2021 16 May 2021
  • Acceptance and Reviewer feedback: 1 July 2021 10 July 2021
  • Responses to reviewers: 16 July 2021
  • Camera-ready Submission and Author Early Registration Deadline: 25 July 2021
  • Conference Dates: 11–16 October 2021

Main topics

  • Knowledge Engineering
  • Data mining
  • Intelligent text analysis and semantic Web
  • Cognitive and psychological research in Artificial Intelligence
  • Modeling of reasoning and non-classical logic
  • Fuzzy models and soft computing
  • Decision making and control systems
  • Intelligent dynamic systems
  • Multi-agent systems and artificial communities
  • Robotic systems
  • Neural network methods, neuroinformatics
  • Classification, recognition, and diagnostics
  • Emotions and patterns in Artificial Intelligence
  • Computer vision
  • Intelligent technologies in industry and agriculture
  • Applied intelligent systems