Agreement Technologies

The aim of this research is to provide autonomous entities the possibility of complex interaction that establish a common framework to develope future interactions.

Multi-agent systems

Multi-agent systems (MAS) face up to the necessity of communication and collaboration among autonomous agents (entities which behaviour is guided by themselves).

Planners and recommendators

Planning addresses issues are related with decision making problems and actions that should take place in determined environments to achieve specific objectives.

Emotion-aware systems

Emotional information from multiple sources are combined to improve system’s intelligence or obtain useful information.

VRAIn. Valencian Research Institute for Artificial Intelligence

The Valencian Research Institute for Artificial Intelligence (VRAIN), a flagship AI centre in Spain, groups together five research groups from the Departamento de Sistemas Informáticos y Computación (DSIC) of the Universitat Politècnica de València (the first Spanish Technical University in the Shanghai ranking). With more than 30 years of experience in different Artificial Intelligence (AI) research lines, the constituent groups of VRAIN are national and international benchmark in AI research and their results are backed by their extensive scientific production. VRAIN is constituted by 90 researchers (one of the largest AI research centres in Spain), of whom 13 are full professors (6 women, 7 men), 37 associate professors (10 women, 27 men), 30 assistant researchers (10 women, 20 men) and 10 junior researchers (4 women,6 men).

VRAIN has six main research lines: learning, planning, reasoning, natural language processing, intelligent agents and multiagent systems, and agreement technologies. These research lines are applied to the development of innovative applications in a large number of strategic sectors such as health, agriculture, industry, privacy/security, autonomous robots, services and energy, and environmental sustainability. These activities have been funded by more than 128 projects obtained through competitive funding mainly from the European Union, but also National Research Plan, Valencian Research Plan and Technology Transfer Projects. The total funding obtained since 2000 exceeds 18 million Euros. VRAIN researchers in these fields have chaired the leading conferences in Artificial Intelligence (ECAI, AAMAS, EUMAS, IICAPS); and are members of the board of the main journals and organizations (EURAMAS, AEPIA). VRAIN has produced and produces significant scientific publications (more than 2000 papers since) many of them have been, and are, highly cited.

Of special interest will be the activities of analysis and assessment of the ethical aspects of the use and implementation of AI focusing, from a multidisciplinary vision, the general design of AI systems from an alignment of ethical, legal and social aspects, with Responsible Artificial Intelligence being the focus of the research developed.

Research groups

Enginyeria del Llenguatge i Reconceiximent de Formes (ELiRF).
www.elirf.upv.es

Extensiones de la Programación Lógica (ELP).
elp.webs.upv.es

Machine Learning and Language Processing (MLLP).
http://www.mllp.upv.es/

Tecnología Informática e Inteligencia Artificial (GTIIA).
http://www.gti-ia.upv.es

Tecnología Software Multiparadigma (MIST).
http://personales.upv.es/gvidal/german/mist/

Teoría de Lenguajes, Computabilidad y Criptografía (TLCC).
https://tlcc.webs.upv.es/

Publications

https://scholar.google.es/citations?user=pWTcps0AAAAJ&hl=en

Our results

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Receteame

Receteame searches thousands of internet recipes and suggests the most suitable for the user, by means of an AI recommendator, which learns the preferences and constraints from its users as they visit the site.

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Emotion-aware robot

This project aims to introduce emotional models to AI and robotic entities in order to learn and understand our emotions. But not only at the individual level, but also at a social level. That is, to be able to determine the social emotion of an agent human society.

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Social network analysis

We have developed tools to analize movement patterns, predict events and behaviours, and detect relevant users in social networks.

Our Funders

Our work is funded by a number of companies and public institutions.