Konstantin A. Aksyonov, Ph. D., IEEE member, Eugene A. Bykov, IEEE member Elena F. Smoliy Maksim V. Popov Leonid G. Dorosinskiy Ural State Technical University Ekaterinburg, Russian Federation 10 th PhD Workshop on Systems and Control Hluboka nad Vltavou, Czech Republic, 25 September 2009 Development of decision support system «BPsim.MSN»  Multi-service telecommunication networks design and modeling application

Field of Interest System analysis of business processes Simulation modeling Multi-agent systems Decision making systems Computer-aided software engineering Integration of simulation and CASE tools 

Outline Theoretical aspects Multi-agent approach Decision support over simulation Deployment experience Demos Conclusion 

BPsim products development background Popular modeling tools comparison Common drawbacks Agent-based approach implementation Retail price 

Model of Resource Conversion Process Transformation of resources Controlled by agents Operation in/out- puts Mechanizms Control commands and messages 

Resource Conversion Process Features Structure and behavior algorithms complexity Large amount of parameters Complex hierarchy Probabilistic behavior Decision-making processes and decision-making people definition capability 

Agent Features Control over RCP objects Environment analysis Situation diagnosis and decision search (interaction with a database) System goals determination, delegation and achievement control Message exchange (communication, negotiation, etc.) 

Agent Properties Individual knowledge base Set of goals for behavior configuration setting Priority that defines agent order in priority gaining queue 

Tool Application Urals Industrial Group Model design Defining agent settings Monitoring goals achievement progress Experiments output 

«Launch agent» knowledge base 

Intelligent reactive agent model Frame-based approachDecision search diagrams 

Multi-service network model 

MULTI-AGENT SIMULATION Demo 

Conclusions Integration of  Simulation and multi-agent approach  Expert system  Situational modeling Result – intelligent decision support system, applied to multi-service network design 

Q/A Thank you for your attention! Questions? 