Laboratory of
Intelligent Systems

Things go better with Intelligent Systems

Basic Research

Actual problems of developing the artificial intelligence systems form a core of the laboratory research. They include:


  • Modelling Languages
  • Multiagent System
  • Data Mining
  • P2P Systems
  • Data & Information Fusion
  • Ubiquitous Computing

Technologies and reuse solutions

Basic research results and the developed tools are used in different applied research, as results from the laboratory research interests and customers’ demands. The main applied developments cover: transportation logistics, planning and control, distributed systems of decision making and control, business process management, etc.


Applied research

Actual problems of developing the artificial intelligence systems form a core of the laboratory research. They include:


  • Transportation logistics
  • Planning and Control
  • etc.
  • Distributed systems of decision making and control
  • Business process management

Projects

What we do

Research and Development of the models and distributed algorithms supporting for collective agent behavior and is applications to collective Robotics
2016-2017
Research Program #1.5 of the Russian Academy of Sciences Presidium

Open Self-organized B2B networks: Conception, architecture and algorithmic support
2014-2016
Project from Russian Foundation for Basic Research #14-07-00493

Contracts from EMC company (USA)
2013-2016
Projects carried out under contracts #1-5

Project 214. Self-organized Multi-agent Systems for Road Traffic Control"
2012-2014
Research Program #15 of the Russian Academy of Sciences Presidium

Project 1.12. Context-dependent association and causal analysis for decision support
2012-2014
Project from Program of Nanotechnology and Information Technology Branch of the Russian Academy of Sciences

Contract from Samsung Company
2014
Multi-agent algorithms for cross-source recommender systems. (Moscow Research Institute)

Development of data structure and language for specification of scenario knowledge and their use for coordination of goal-oriented collective behavior of distributed autonomous agents
2010-2012
Project from Russian Foundation for Basic Research, #10-07-00026-а

Self-learning and Self-configuration of dynamic P2P networking
2009-2011
Project from Presidium of the Russian Academy of Sciences

Association analysis: Development of theoretical foundation, algorithms and software supporting knowledge associative knowledge extraction and usage
2009-2011
Project from Nanotechnology and Information Technology Branch of the Russian Academy of Sciences

P2P service-oriented networks of agents for distributed P2P decision making.
2007-2009
Project from Russian Academy of Sciences, Information Technologies and Computing System Branch

Multi-agent technology for Air space deconfliction
2007
Sub contract for the Project from U.S. Air Force Research Laboratory / Information Directorate

Multi-agent models and distributed algorithms for situation assessment and prediction
2004-2006
Project of Russian Foundation for Basic Research #04-01-00494a

MIND: Machine Learning for Intrusion Detection
2004-2006
Project from Fraunhofer-Gesellschaft zur Forderung der Angewandten Forschungen. Partner: Institute – Fraunhofer FIRST, Berlin

Autonomous Information Collection, Knowledge Discovery Techniques and Software Tool Prototype for Knowledge-Based Data Fusion
2000-2005
Partner Project #1993P, Task 1, ISTC and EOARD

Agent-based stochastic modeling and simulation of adversarial competition of teams in the Internet environment
2003-2005
Project from Department of Information Technology and Computer Systems of the Russian Academy of Sciences

Mathematical models and techniques for distributed learning of the multi-agent data fusion systems
2001-2003
Project from Russian Foundation of Basic Research, #01-01-00109

Team

Meet our team

Vladimir Gorodetsky

Professor, Head Scientist

Email: gor@iias.spb.su

Leonid Boykov

PhD Student, Junior Researcher

Email: boykov@iias.spb.su