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Hybrid-Artificial Intelligence
Hybrid-Artificial Intelligence
Hybrid AI (HAI) systems are the next wave of AI which integrate the fundamental cognitive abilities of intelligent agents: being able to learn from their environment, reasoning about what has been learned and sharing the acquired knowledge. In HAI systems, machine learning approaches can extract observations and relations from the environment that allow reasoning (i.e. learning to reason). Moreover, semantic models of expert knowledge can be used to explain the learning occurred from observing the environment (i.e. reasoning about the learnt). Thus, HAI systems will develop a deeper understanding of the dynamic environments where we people live, enabling an easier human-machine interaction.
Computational Creativity
Computational Creativity
Developing systems to solve spatial problems creatively and train users’ skills.
Computational problem solving and computational creativity have made some advances in the last years which main focus has been to create smarter systems.
This project proposes to explore how to use the existing developments (or develop new ones) to train user skills, such as their abilities in spatial problem solving and also their creativity.
Spatial reasoning has been correlated with success in STEM and creativity has been directly related to innovation. Both are key to evolve in science and in society.
Mental Rotation and Neuroeducation
Mental Rotation and Neuroeducation
Previous projects
Previous projects
2022-2025, XAI4SOC: Explainable Artificial Intelligence for Healthy Aging and Social Wellbeing which is a joint project with CiTIUS (Centro Singular de Investigación en Tecnologías Inteligentes) in University of Santiago de Compostela, Spain. It is funded by the Agencia Estatal de Investigación (AEI), the Spanish Ministry of Science, Innovation and Universities and the European Social Funds(PID2021-123152OB-C22).
2023-2025, TELSEC4TAI, Trustworthy Artificial Intelligence: Technical, Ethical, Legal, Cultural and Socio-economic Challenges (RED2022-134315-T). General coordinator: Jose M. Alonso (CITIUS- U. Santiago de Compostela), PI at UJI: Z. Falomir.
2015-2019, CogQDA: Cognitive Qualitative Descriptions and Applications, funded by Zentrale Forschungsförderung der Universität Bremen, 04-Independent Projects for Postdocs.
2016-2017, ProSocrates Project: Problem Solving, Creativity and Spatial Reasoning in Cognitive Systems , funded by the Hanse-wissenschaftkolleg (HWK) with two Junior Associate Fellowships granted to Zoe Falomir and Ana-Maria Olteteanu. There were 2 ProSocrates Symposiums: ProSocrates 2016 Symposium as part of KogWis 2016 and ProSocrates 2017 organized at the HWK.
2013-2015, Cognitive-AmI: Semantic and Cognitive Descriptions of Scenes for Reasoning and Learning in Ambient Intelligence, Marie Curie Intra-European Fellowships for Career Development, European Commission under the FP7 call reference FP7-PEOPLE-2012-IEF.
2012-2013, Providing human-understandable qualitative and semantic reasoning, funded by Zentrale Forschungsförderung der Universität Bremen, 03-Brückenstelle for Postdocs, Universität Bremen.
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