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Selected research areas and projects Inteligent Information Systems Group Department of Computer Science Faculty of Computer Science, Electronics and Telecomunnication, AGH. Grzegorz Dobrowolski grzela@agh.edu.pl. The group. prof. dr hab. inż. Edward Nawarecki dr inż. Sławomir Bieniasz
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Selected research areas and projects Inteligent Information Systems Group Department of Computer Science Faculty of Computer Science, Electronics and Telecomunnication, AGH Grzegorz Dobrowolski grzela@agh.edu.pl
The group • prof. dr hab. inż. Edward Nawarecki • dr inż. Sławomir Bieniasz • dr inż. Aleksander Byrski • dr hab. inż. Krzysztof Cetnarowicz • dr hab. inż. Grzegorz Dobrowolski • dr inż. Rafał Dreżewski • dr inż. Marek Kisiel-Dorohinicki • dr inż. Jarosław Koźlak • dr inż. Robert Marcjan • About 20 members, including 2 full professors, 3 associated professors and 15 assistant professors, about 10 actively cooperating Ph.D. Students and trainees • Some names: dr inż. Bartłomiej Śnieżyński dr inż. Wojciech Turek dr inż. Marek Valenta dr inż. Anna Zygmunt dr inż. Małgorzata Żabińska-Rakoczy mgr inż. Witold Rakoczy
The group • Different areas of interest: software engineering, evolutionary computing, multi-agent systems, machine learning, complex networks analysis, mobile systems... • Active cooperation with academic institutions in Poland and Abroad (e.g. Cracow Institute of Technology, UTBM France, ESIGETEL France, Florida Inst. of Technology USA, George Mason University, USA...) • Active cooperation with industry and government agencies in Poland (e.g. Wasko SA, FIDO Intelligence, Gridwisetech, Polish Police, Polish Border Guard, Polish Platform for Homeland Security...). • Quasi-commercial specialization: solutions supporting homeland security investigation.
Criminal analysis support • Following the demand expressed by public security agencies, different criminal-analysis tools are constructed. • GSM and financial data visualisation and analysis (LINK and Mamut tools) • Sophisticated GUI research (touchscreen and MS Kinect based) • Pattern searching algorithms 4
Complex network analysis • Complex network constructed based on e.g. GSM bilings or blogosphere comments • Identification of roles in social network • Analysis of static and dynamic complex networks • Public security oriented applications 5
Social network analysis • Example: Identification of groups in blogosphere (salon24) with comment based sentiment counting model • Calculated mean values for all stable groups in time slots, for C • CPM parameter k=3: • Social Network Analysis • Identification of groups and key members • Analysis and prediction of group dynamics • Application domain: Analysis of social media (blogosphere - salon24.pl, Twitter), and data about phone calls • Different models of blogosphere (posts, comments, content/sentiment) Example:Stability of discussed topics (post tags)
Mobile robots • Mobile robots laboratory founded in 2004. • Multi-robot systems research (FIRA robot soccer). • Autonomous moving robots. • Agent-based multi-robot systems. • Multi-robot simulation.
Robots as multi-agent system cyberspace Ag2 Ag1 Agent Agx Agent Agy negotiation reality
Agent-based computing • Hybrid computing systems utilizing the notion of agency • Distributed component-oriented computing platforms (AgE) • Optimization and simulation related applications • Nature-inspired computing 9
Agent learning • Reinforcement and supervised learning in agent-based system • comparison of selected algorithms • supervised sometimes better than reinforcement learning • Hybrid algorithms • classifier can be used to make space more compact for reinforcement learning • Sharing learned knowledge 10
Solvingtransportationproblemsusingmulti-agentapproach Solving PDPTW without /with learning of best algorithm configuration • Solving dynamic transportation problems - Pickup and Delivery Problem with Time Windows (PDPTW) and its extensions • Traffic optimisation • Definition of strategies and decision algorithms for autonomous entities • Use of heuristic algorithms and local optimisation operators • Classification of the situations using a set of measures (machine learning, data mining) • Dynamic choice of best algorithms for given situations Traffic modelling: different traffic volume and intersection algorithms)\
Selected research areas and projects Inteligent Information Systems Group Department of Computer Science Faculty of Computer Science, Electronics and Telecomunnication, AGH Grzegorz Dobrowolski grzela@agh.edu.pl