2010 - ERCIS

Higher School of Economics – Nizhny Novgorod –
Faculty of Business Informatics and Applied Mathematics
conduct a systematic analysis
of economic and technological
factors affecting the sustainable
development of business and ecommerce;
• Original ways of formalizing
knowledge, based on ontological
engineering, and supplemented by
practical methods of integration
and verification of complex corporate
service - oriented systems;
• New mathematical models and
multi-agent optimization algorithms
in distributed service
- oriented systems applicable
to different domains (transport,
planning, training activities); the
result defines new approaches
to the creation and use of intelligent
decision support systems
in the modern service-oriented
economy.
• Axiomatic approach to non compensatory
aggregation (decision
making rules) and axiomatic
approach to general measure of
power (power indices) in a voting
body.
• Data correcting algorithms applied
to NP-hard combinatorial optimization
and quantitative logistics
problems (for example, the traveling
salesman, asymmetric capacitated
vehicle routing, linear ordering,
plant location, quadratic cost
partition, max cut, optimal pricing
and knapsack problems), polynomially
solvable special cases of
NP-hard problems, heuristics and
computational complexity including
the domination analysis.
Current Research
ProcessPedia. This work is performed
under a joint research project agreement
with SAP Research. The project pursues a
goal to develop an object-oriented editor,
business processes and tools of collective
decision-making. Participants investigate
the principles of collective business
process modeling, analyze cases
and develop the software architecture of
Web-oriented system of collective decision-making.
Knowledge Representation with Ontologies.
The project team performs analyses
of different methods for modeling business
processes, information services
and business processes and their validation
in the development and integration
of heterogeneous software components
and classes of information systems within
a single decision support system. The
analysis was done to evaluate formal-logical
methods of specification of semantics
of business processes and software
systems based on relational logic and the
Alloy Analyzer system. According to the
analysis, it is planned to develop architecture
and algorithms of a service-oriented
decision support system using formal
methods of knowledge representation.
Multi-agent algorithms in DSS. The goal
of this project is development of multiagent
optimization models in logistics
and transport management. The team
builds a distributed model of management
of a demand-responsive transport
system, taking into account local and
global system constraints. The inte-
Contact Details
Faculty of Business Informatics
and Applied Mathematics
Prof. Dr. Valery Kalyagin
Bolshaya Pecherskaya street, 25/12
Nizhny Novgorod, 603155 Russia
web: www.hse.ru
mail: vkalyagin@hse.ru
phone: +7 831 4169649
Laboratory TAPRADESS
Prof. Dr. Eduard Babkin
Bolshaya Pecherskaya street, 25/12
Nizhny Novgorod, 603155 Russia
web: www.hse.ru
mail: eababkin@hse.ru’
phone: +7 831 4169536
Key Facts
Institution
• Founded in 2003
• 12 researchers
Research Topics
• Cognitive Science
• Situational Modeling
• Decision Making Analysis
Events
International Scientific Summer
School on quantitative logistics and
operations research, Nizhny Novgorod,
May 1st 2010 – May 15th 2010.
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