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10/OCT/2018
10/OCT/2018

Diversity-Aware Interaction Models
Diversity-Aware Interaction Models

    The Artificial Intelligence Research Institute (IIIA-CSIC) offers a three and a half year scholarship for students pursuing a full-time PhD degree in Artificial Intelligence in the areas of multiagent systems, interaction models, and semantic align...
    The Artificial Intelligence Research Institute (IIIA-CSIC) offers a three and a half year scholarship for students pursuing a full-time PhD degree in Artificial Intelligence in the areas of multiagent systems, interaction models, and semantic alignment. The position, led by Dr Nardine Osman and Dr Marco Schorlemmer, is offered in the context of WENET, a high-profile international research project funded under the European Commission’s H2020 programme. WeNet aims at providing a diversity-aware, machine-mediated paradigm of social relations. Technology has evolved to a point where humans from diverse backgrounds, cultures, and experiences have an unprecedented ability to connect with each other. Yet technology does not in-and-by-itself provide support for developing and maintaining the social relationships that transcend geographical and cultural backgrounds. WeNet's goal is connecting people that can support each other, and the key is leveraging their diversity. The WeNet paradigm includes a family of computational diversity-aware models supporting human interaction: learning models, diversity-aware search, diversity alignment mechanisms that lift communication barriers, and diversity-aware incentive mechanisms that generates incentives for people to support each other. The IIIA-CSIC, located on the UAB campus, belongs to the Spanish National Research Council, Spain’s largest public institution devoted to research and technological development. The IIIA-CSIC is a leading research centre in Europe in the areas of multiagent systems, machine learning, and uncertainty reasoning. It attracts funding from the European, Spanish, and Catalan governments and has substantial collaborative research projects with industry.