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Romanian universities in the Action. AI-MAS Laboratory. COST Action IC0801 – WG1, 15 December 2009, Ayia Napa, Cyprus. University " Politehnica " of Bucharest Department of Computer Science Adina Magda Florea. Artificial Intelligence and Multi-Agent Systems Laboratory. Focus 1:
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AI-MAS Laboratory COST Action IC0801 – WG1, 15 December 2009, Ayia Napa, Cyprus University "Politehnica" of Bucharest Department of Computer Science Adina MagdaFlorea
Artificial Intelligence and Multi-Agent Systems Laboratory Focus 1: • Models and architectures for • multi-agents • single agents • Coordination mechanisms, automated negotiation, agent learning • Affective agents • Apply agent technology in different areas: • e-commerce, e-learning, SCM, and AmI • Self-organization of complex systems and how agents can contribute to the development of such systems. with artificial intelligent behaviour
Artificial Intelligence and Multi-Agent Systems Laboratory Focus 2: • Connection • web services • semantic representation • agents on the Web • Development of agents that offer semantic web services to support different aspects of business processing and enterprise interoperability
AI-MAS People Claudiu Andreea Irina Andrei Mircea Serban Cristi Zung Adina Andrei
AI-MAS Projects • AGATE: Self-organizing self-aware cognitive agent societies for modelling and simulation of complex systems. 2009-2011 – financed by CNCSIS • Self-organization of software agents • Self-aware software agents • Modify the behaviour and relationships in response to the interactions with other agents and with a dynamic environment. • Complex software systems, including systems comprising different artefacts (such as mobile devices, active RFIDs) and actors (such as artificial agents and human users).
AI-MAS Projects • SCIPA: Collaboration and Interoperability Semantic Software Services for Adaptive Business Processes. 2009-2011 • Interoperability of software services at semantic level • Adaptability of the business processes • Composition of new services in a dynamic business environment. • Business processes that include semantic annotation of components.
AI-MAS Projects • A-ROADS:A multi-agent system for next-generation urban traffic control environments. 2007-2008 • A multi-agent system for governing interactions of autonomous vehicles in intersections by exploiting the increasing amounts of available sensor data. • A vehicle is represented by an autonomous entity associated to the sensor instrument - vehicle agent • Junctions are represented by intersection agents. • Vehicle agents communicate with intersection agents in their proximity
AI-MAS Projects • MIRA - My IRrational Agent, 2005-2007 • A model and an implementation of emotional agents • Extending the classical BDI model to cope with emotions • Agent’s mechanisms of belief change, decision-making and planning based on emotional intelligence. • Application: e-learning
AI-MAS Projects • ADEPT: A Multi-agent system based on autonomous agents with adjustable autonomy. 2005-2007 • Intelligent agents, which adapt their behavior, autonomy, task distribution and resource allocation according to the problem to be solved and to the given environment. • Agents have adjustable autonomy depending on the task and context • It also comprises agents that are hosted by small devices, such as smart phones.
AI-MAS Projects • I-Trace - Interactive Tracing and Graphical Annotation in Pen-based e-learning. EU Minerva Grant, 2005-2008
AI-MAS Cooperation and networking • COST Action IC0801: Agreement Technologies (2008-2012) • Agent Link III, II (Co-ordination Action for Agent Based Computing) • Erasmus MundusMaster in Data Mining and Knowledge Management (starts in 2010) • Master of Science in Artificial Intelligence • PhD in joint coordination: ENMSE, UPMC
AI-MAS Events • MASTS 2009 – International Workshop on Multi-Agent Systems Technology and Semantics • ACSys – International Workshop on Agents for Complex Systems, in cooperation with University of Timisoara • South Eastern European Summer School on Multi-Agent Systems, July 2010 – sponsored by IFAAMAS (International Foundation for Autonomous Agents and Multiagent Systems)
Towards AmI applications • AGATE • SCIPA • ADEPT • A-ROADS SOS + AmI • Self-organising systems • large number of individuals • based on interaction • emergent organisation of higher level • Ambient Intelligence (AmI) • large number of devices • limited capability of devices • information exchanged by interaction • centralized organisation is very difficult
Towards an affective e-learning companion • Extend MIRA • Enhancement with virtual agents (persona) • Application: e-learning for differently enabled people