Makhabat Tolondueva

Fashion Stylist at UCM Research Group on Agent-based Social and Interdisciplinary Applications (UCM-GRASIA) - Madrid, Community of Madrid, Spain

Javier Villalba

Director GASS (Grupo de Análisis, Seguridad y Sistemas)

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Makhabat Tolondueva's Contact Details
HQ
Location
South Korea
Company
UCM Research Group on Agent-based Social and Interdisciplinary Applications (UCM-GRASIA)
Makhabat Tolondueva's Company Details
UCM Research Group on Agent-based Social and Interdisciplinary Applications (UCM-GRASIA) logo, UCM Research Group on Agent-based Social and Interdisciplinary Applications (UCM-GRASIA) contact details

UCM Research Group on Agent-based Social and Interdisciplinary Applications (UCM-GRASIA)

Madrid, Community of Madrid, Spain • 6 Employees
Research

The Grasia! research group of the Universidad Complutense Madrid (UCM) considers agent technology from a multi-disciplinary perspective, joining experts from the fields of Software Engineering, Artificial Intelligence, and Sociology. It promotes applied research by considering the agent paradigm as a key element for building distributed intelligent applications and for the analysis of complex systems. The research is structured along three main lines: * Agent oriented software engineering. This intends to support developers on building applications as multi-agent systems. The main results are the INGENIAS methodology and the INGENIAS Development Kit (IDK) toolset, which have been applied in a variety of applications (intelligent interfaces, business process management, web site personalization, resource planning and monitoring, ubiquitous computing and ambience intelligence). * Information Retrieval. Multi-agent systems can assist users to manage information on the web in a personalized way. We are specially involved in tools for technology watch. * Social simulation. Although there are powerful tools for agent based simulation of complex systems, they require good skills in programming. We try to leverage this difficulty by providing new tools for working with graphical models, which are adapted to concrete domains in Social Sciences.

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