AGATE: Self-organizing self-aware cognitive agent societies for modelling and simulation of complex systems. 2009-2011
The AGATE project deals with the self-organization of self-aware societies of software agents that are able to modify their behaviour in response to the interactions with other agents and with a dynamic environment. The main aim of AGATE is to understand how desired agents’ behaviour is learned, influenced or changed by the environment and how, in turn, this behaviour affects other agents in complex software systems, including systems comprising different artifacts (such as mobile devices, RFIDs) and actors (such as artificial agents and human users).
SCIPA: Collaboration and Interoperability Semantic Software Services for Adaptive Business Processes. 2009-2011
The project has as main objective the study, design and implementation of an integrated open and generic ICT solution, which allows the interoperability of semantic software services offered by enterprises, the adaptability of the business processes, the discovery and composition of new services, and the development of a flexible collaboration model, capable of answering the collaboration requirements in a dynamically business environment. The solution comprises business processes that includes semantic annotation of components and model adaptability according to the business process requirements.
CATIIS: Inter-regional and trans-national doctoral programme in Computer Science and Control Systems for a knowledge-based economy.
EU Structural Funds, POSDRU Axe 1.5: Doctoral and post-doctoral programmes for research excellence. 2009-2011
A-ROADS: A multi-agent system for next-generation urban traffic control environments. 2007-2008
A-ROADS is a multi-agent system for governing interactions of multiple autonomous vechicles in intersections by exploiting the increasing amounts of available sensor data, such as gps/gsm navigation instruments. In A-ROADS, a vehicle is represented by an autonomous entity associated to the sensor instrument, called vehicle agent, while junctions are represented by controller agents, called intersection agents. Vehicle agents communicate with intersection agents in their proximity; an intersection agent monitors the set of trafic lights at a junction, communicates with vechicle agents and other intersection agents nearby and acts autonomously, deciding on the appropriate phase for the junction.
ADEPT: A Multi-agent system based on autonomous agents with adjustable autonomy. 2004-2006
ADEPT is a system that allows the development of intelligent agents, which adapt their structure, behavior, autonomy, task distribution and resource allocation according to the problem to be solved and to the given environment. The system is conceived as an open one, in which agents have adjustable autonomy and in which communication and negotiation is adaptable, depending on new agents entering the system. It also comprises agents that are hosted by small devices, such as smart phones.
MIRA (My IRrational Agent) developed a model and an implementation of emotional agents. Emotions are viewed as a way of extending the classical BDIG model and have a definite role in the agent’s mechanisms of belief change, decision-making and planning. The project will be focused on both agents’ emotion communication to the user and artificial modeling of user’s emotions. The project also aims at finding different approaches to identify user emotions, for example the user’s frustration. 2005-2007
RLN is a framework for testing learning in negotiation. The agents are negotiating different negotiation situations and objects, including arguments in favor of successful contracts. The negotiator uses reinforcement learning to learn its negotiation strategy when faced with multiple negotiation primitives in repetitive encounters. 2003-2004
ICARUS is an intelligent interactive trading system for the stock market. The systems will comprise a collection of financial analysis tools and will offer anticipative scenarios of stock evolution. Its basic architecture is a multi-agent system and prediction is based on reinforcement learning of stock trading evolution. The system is designed as an adaptive analysis tool for small and medium size brokerage companies. 2003-2004
ARGUMENT is a system comprising a society of self-interested agents that use argumentation-based negotiation to reach agreements. The agents use different types of argumentation, for example qualitative arguments and arguments that are drawn from conventional negotiations based on costs and gain. It is written in Jade and Java. 2001-2002
AGENT-FISHBANK is a multi-agent system for solving the problem of rational exploitation of natural renewable resources by self-interested agents, known also as the Tragedy of Commons. The system is geared towards a particular instance of this problem, namely the FishBanks game. The agents in the system are hybrid ones, with genetic and cognitive components. 2000 – 2001
AGCOR is a system for organizational coordination using intelligent agents. The system allows the definition of several agents, ranging from totally cooperative to self-interested ones that achieve cooperation in order to share common gain. It is aimed at modeling virtual organizations. It is written in Java. Grant of CNCSIS and World Bank. 1999 – 2002
COOP is a negotiation system with self-interested agents that use evolved cooperation profiles to adjust negotiation strategies. The agents’ behavior is motivated by gain and by the necessity to cooperate with other agents to achieve their goals. The negotiation strategy is represented explicitly, as a set of rules. The system is written in Java. 1999-2000