UPM

 The Department of Artificial Intelligence as part of the School of Computer Science of the Universidad Politécnica de Madrid (UPM) includes 34 faculty members holding Ph.D. degrees in Computer Science, Mathematics, Electrical Engineering, Decision Analysis and other fields, as well as several research assistants at the doctoral, graduate, and undergraduate levels. There are several research groups and laboratories whose main areas of research are the following:

• Knowledge Engineering (knowledge acquisition, reasoning, industrial diagnosis);
• Computer Vision and Robotics;
• Neural Networks and Genetic Algorithms;
• Logical Models;
• Logic and Constraint Logic Programming;
• Natural Language, Intelligent Man-Machine Interaction;
• Information Retrieval;
• High Performance Implementation and Parallel Processing;
• Decision Analysis;
• Medical Informatics.

The Department has participated in a large number of international and national research programmes and collaborations. In particular, the department has contributed to a number of ESPRIT and ATT projects, notably ARTIS, KITS, PEPMA, PRINCE, VALID, ACKNOWLEDGE, PIGMALION and SPRINT. It has also participated in other collaborative research under CICYT , RACE HCM, and bi-national programs. Research projects active during last years are funded in part by EU funds (ESPRIT , DRIVE), by Spanish funding agencies (INEM, CAM, CICYT , DGICYT), or by other Spanish organisations and companies. The Intelligent Systems Group (ISYS) was created by Professor José Cuena in 1983. Since the beginning, the main research area faced by ISYS has been the design and development of knowledge-based systems. During the first years, some first generation knowledge-based systems were developed and applied to management of credits assignment and credit cards delivery, and management of air tickets reservation. After that, ISYS was working on the application of second generation knowledge representation environments to physical systems where two systems were developed. One of them was a software environment applying deep reasoning to industrial diagnosis (FIABEX project) and the other one was a decision support system in flow situations (SATH project, CYRAH and SIRAH systems). As a consequence of the results obtained from the research on second generation knowledge models, four years ago another line of research in the area of intelligent systems architecture for the development of applications at a knowledge level has been opened. The design of this type of architecture has been supported by national (TRYS and AURA project) and EU funded projects (KITS and ARTIS DRIVE II projects) where different traffic control decision support systems have been developed. Following this line of research, a novel tool for easy building and management of knowledge structures has been designed and implemented named KSM  (Knowledge Structure Manager Environment). The EU funded projects (50% DRIVE, 50% UPM ) developed during the last three years under the responsibility of José Cuena are the following:

KITS:

Knowledge-Based and Intelligent Traffic Control system;

ARTIS:

Advanced Road Transportation Informatics in Spain.

Furthermore, ISYS is also working in the line of using ideas of cognitive architecture to build intelligent cooperative systems. This line was opened by an ESPRIT exploratory action named PECOS and is being continued by a national funded project whose objective is the development of a software environment to support the performance of cooperative activities in the area of distance education. The Intelligent Systems Group Group is funded by EU funds (DRIVE) and Spanish public funding agencies (CICYT , DGT, MOPU). At this moment it is composed of one professor, three assistant professors, eighth assistant researchers and two students.