El Grup de Recerca en Enginyeria del Coneixement (GREC) fonamenta la seva activitat en la recerca i desenvolupament de tecnologies dins de l'àrea de la Intel·ligència Artificial, centrant-se en aspectes relatius al raonament qualitatiu, l'aprenentatge automàtic i els sistemes de decisió multicritèria. La finalitat del GREC és l'estudi i la recerca sobre sistemes basats en el coneixement i la seva natura qualitativa, tàcita o intangible.
El grup GREC impulsa una recerca interdisciplinària que incorpora àrees d'aplicació de rellevància social que suposin un augment de la qualitat de vida d'éssers, entorns i comunitats. En formació i difusió de coneixement, el GREC participa en programes de màster, formació doctoral, organització i participació en congressos, i publicació de resultats científics.
La nostra visió s'assoleix a través de continuar formant investigadors a nivell internacional en entorns de treball creatius i innovadors.

The Knowledge Engineering Research Group (GREC) was established in 1991 as a highly multidisciplinary research team. Most of the GREC¿s researchers work at two universities, the Technical University of Catalonia and Ramon Llull University, although they collaborate actively with researchers from the LAAS-CNRS and IIIA-CSIC research groups. The group¿s main fields of study are the theory and application of learning systems and qualitative reasoning. The group is involved in researching and developing ubiquitous soft computing technologies in areas of application that lead to the improvement of the quality of life of people and communities. The group¿s specific objectives are the following: 1. The study and development of computational paradigms with the aim of merging soft computing and pervasive computing paradigms. Soft computing techniques have proved useful in several fields, but the focus has not yet been on problems in which the improvement of people¿s lives is the greatest concern. It is in this respect that a combination of soft computing and pervasive computing techniques might prove particularly useful, because of the latter¿s distributed and intangible nature. 2. The application of technologies. Only by merging software and hardware technologies is it possible to develop the aforementioned paradigms. The GREC aims to analyse how to merge these technologies in order to design computational intelligence. Possible areas of application are those in which a community or environment requires solutions to improve quality of life, such as, for example, smart buildings, environmental control, the improvement of sustainability indicators, market research, etc. 3. Teaching and the dissemination of knowledge in the university community and society in general. To this end, the group collaborates on Master¿s and PhD courses with Ramon Llull University. 4. Technology transfer. The main objective of contact with industry is transferring the knowledge generated by the group¿s research. A further aim in developing computational intelligence paradigms is the design of electronic and computing devices that do not intrude on people¿s everyday lives and the environment. The user¿s social environment is also considered, as the approach to computational intelligence in a technological society must be both adaptive and adaptable.

The Knowledge Engineering Research Group (GREC) was established in 1991 as a highly multidisciplinary research team. Most of the GREC¿s researchers work at two universities, the Technical University of Catalonia and Ramon Llull University, although they collaborate actively with researchers from the LAAS-CNRS and IIIA-CSIC research groups. The group¿s main fields of study are the theory and application of learning systems and qualitative reasoning. The group is involved in researching and developing ubiquitous soft computing technologies in areas of application that lead to the improvement of the quality of life of people and communities. The group¿s specific objectives are the following: 1. The study and development of computational paradigms with the aim of merging soft computing and pervasive computing paradigms. Soft computing techniques have proved useful in several fields, but the focus has not yet been on problems in which the improvement of people¿s lives is the greatest concern. It is in this respect that a combination of soft computing and pervasive computing techniques might prove particularly useful, because of the latter¿s distributed and intangible nature. 2. The application of technologies. Only by merging software and hardware technologies is it possible to develop the aforementioned paradigms. The GREC aims to analyse how to merge these technologies in order to design computational intelligence. Possible areas of application are those in which a community or environment requires solutions to improve quality of life, such as, for example, smart buildings, environmental control, the improvement of sustainability indicators, market research, etc. 3. Teaching and the dissemination of knowledge in the university community and society in general. To this end, the group collaborates on Master¿s and PhD courses with Ramon Llull University. 4. Technology transfer. The main objective of contact with industry is transferring the knowledge generated by the group¿s research. A further aim in developing computational intelligence paradigms is the design of electronic and computing devices that do not intrude on people¿s everyday lives and the environment. The user¿s social environment is also considered, as the approach to computational intelligence in a technological society must be both adaptive and adaptable.

Recent Submissions

  • A learning system for adjustment processes based on human sensory perceptions 

    Ruiz Vegas, Francisco Javier; Agell Jané, Núria; Angulo Bahón, Cecilio; Sánchez Soler, Monica (2018-12-01)
    Article
    Restricted access - publisher's policy
    Creating, designing and adjusting products are essential decision processes underlying creative industries, such as painting, perfume, food and beverage industries. These processes require the participation and continuous ...
  • Developing a socially-aware robot assistant for delivery tasks 

    Flores Vazquez, Carlos; Angulo Bahón, Cecilio; Icaza, Daniel; Cobos-Torres, Juan-Carlos (Springer, 2019)
    Conference report
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    This paper discusses about elements to be considered for developing a Service Robot that performs its task in a social environment. Due to the social focus of the service, not only technical considerations are demanded in ...
  • Convolutional neural network training with dynamic epoch ordering 

    Plana Rius, Ferran; Angulo Bahón, Cecilio; Casas Guix, Marc; Mirats Tur, Josep Maria (IOS Press, 2019)
    Conference lecture
    Restricted access - publisher's policy
    The paper presented exposes a novel approach to feed data to a Convolutional Neural Network (CNN) while training. Normally, neural networks are fed with shuffled data without any control of what type of examples contains ...
  • A Comparison of autonomous vehicle navigation simulators under regulatory and reinforcement learning constraints 

    Cabañeros, Alex; Angulo Bahón, Cecilio (IOS Press, 2019)
    Conference lecture
    Restricted access - publisher's policy
    The transition from conventional vehicles to autonomous vehicles is regulated thorough ADAS (Advanced Driver Assistance Systems) functionalities. The combination of different ADAS functions allows vehicles navigate on a ...
  • Towards a healthcare digital twin 

    Angulo Bahón, Cecilio; Ortega Ramírez, Juan Antonio; Gonzalez Abril, Luis (IOS Press, 2019)
    Conference lecture
    Restricted access - publisher's policy
    The main aim of this short position paper is to introduce a proposal to orchestrate an ecosystem of manipulation of reliable and safe data, applied to the field of health, proposing the creation of digital twins for ...
  • Social reinforcement in artificial prelinguistic development : a study using intrinsically motivated exploration architectures 

    Acevedo Valle, Juan Manuel; Hafner, Verena V.; Angulo Bahón, Cecilio (2019-05-01)
    Article
    Open Access
    This work introduces an intrinsically motivated sensorimotor exploration architecture which considers social reinforcement and motor constraint awareness. The main objective is to study the influence of social interactions ...
  • Beyond cognition and affect: sensing the unconscious 

    Ivonin, Leonid; Huang-Ming, Chang; Díaz Boladeras, Marta; Català Mallofré, Andreu; Chen, Wei; Rauterberg, Mattias (Taylor & Francis, 2015-03-04)
    Article
    Restricted access - publisher's policy
    In the past decade, research on human-computer interaction has embraced psychophysiological user interfaces that enhance awareness of computers about conscious cognitive and affective states of users and increase their ...
  • A linguistic multi-criteria decision-aiding system to support university career services 

    Nguyen, Jennifer; Sánchez Hernández, Germán; Armisen Morell, Albert; Agell Jané, Núria; Angulo Bahón, Cecilio (2017-07-27)
    Article
    Restricted access - publisher's policy
    In this paper we introduce a linguistic multi-criteria decision-aiding model to support college students with the internship job market application. It considers a fuzzy ordered weighted averaging (FOWA) operator in the ...
  • Influential factors in water planning for sustainable tourism destinations 

    Vila Fernández-Santacruz, Mar; Afsordegan, Arayeh; Agell Jané, Núria; Sánchez Soler, Monica; Costa Guix, Gerard (2018-02-01)
    Article
    Open Access
    Many destinations are implementing various water management alternatives to diminish the environmental impacts of tourism and increase sustainability. These efforts toward sustainability can be understood as part of corporate ...
  • Consensus, dissension and precision in group decision making by means of an algebraic extension of hesitant fuzzy linguistic term sets 

    Montserrat Adell, Jordi; Agell, Nuria; Sánchez Soler, Monica; Ruiz Vegas, Francisco Javier (Elsevier, 2018-07)
    Article
    Restricted access - publisher's policy
    Present measures of the degree of agreement in group decision-making using hesitant fuzzy linguistic term sets allow consensus or agreement measurement when decision makers’ assessments involve hesitance. Yet they do not ...
  • A consensus degree for hesitant fuzzy linguistic decision making 

    Montserrat Adell, Jordi; Agell Jané, Núria; Sánchez Soler, Monica; Ruiz Vegas, Francisco Javier (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Conference lecture
    Restricted access - publisher's policy
    This paper proposes a measure of consensus for group decision making in the hesitant fuzzy linguistic term sets framework. An extension of the set of hesitant fuzzy linguistic term sets is considered to capture differences ...
  • Using qualitative reasoning to evaluate performance: an application in the retail sector 

    Rovira Llobera, Xari; Agell Jané, Núria; Sayeras, Josep M.; Sánchez Soler, Monica (2016)
    Conference lecture
    Restricted access - publisher's policy
    This paper offers a new method inspired by classic importance-performance analysis (IPA) that provides a global index of importance versus performance for firms together with a new version of the IPA diagram. The index ...

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