Obiettivo
AutoGameDesign aims to answer whether autonomous creative systems are able to generate valuable, novel and surprising outcomes. AutoGameDesign explores how computational creators can be equipped with transformed exploratory creativity for the generation of novel and valuable outputs and how surprise can be modelled computationally, as well as drive the search for and evaluate creativity. Advanced machine learning methods are fused with computational predictors of emotive creativity yielding entirely new ways of searching within the creative search space. The computational creators’ output is evaluated within the domain of game design being among the most content-intensive and multifaceted domains of human creativity and, undoubtedly, the richest form of human-computer interaction. The project is built upon world-class expertise in computational creativity, artificial and computational intelligence, machine learning, affective computing and advanced game technology, ensuring the development of autonomous computational creators that will advance the measurable capability of computers to produce results that are self-assessed, and assessed by humans, as useful, original and surprising.
Campo scientifico (EuroSciVoc)
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
- scienze naturaliinformatica e scienze dell'informazioneintelligenza artificialecreatività computazionale
- scienze naturaliinformatica e scienze dell'informazioneintelligenza artificialeapprendimento automaticoapprendimento profondo
- scienze naturaliinformatica e scienze dell'informazioneintelligenza artificialeintelligenza computazionale
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FP7-PEOPLE-2013-CIG
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Meccanismo di finanziamento
MC-CIG - Support for training and career development of researcher (CIG)Coordinatore
MSD 2080 MSIDA
Malta