Cognitive AI Systems Contribute to Improving Creativity Modeling and Measuring Tools

Zunjani, Faheem Hassan; Olteteanu, Ana-Maria

doi:10.1007/978-3-030-19591-5_11

Cited by 1 publication

(2 citation statements)

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“…Moreover, CN systems and tools for modeling and measuring creativity is a prospective topic for the analysis of creative association [150]. The basis of the research is the Remote Associates Test (RAT) as a measure of the associative factor in creativity, summarized in the CreaCogs framework, proposing processes to solve associative related tasks, creative use and object inference.…”

Section: Cognitive Neurosciencementioning

confidence: 99%

“…The basis of the research is the Remote Associates Test (RAT) as a measure of the associative factor in creativity, summarized in the CreaCogs framework, proposing processes to solve associative related tasks, creative use and object inference. In addition, a visual adaptation of the RAT to integrate visual and linguistic performance was proposed following the methodology described in [150], and two separate studies were also conducted to evaluate it.…”

Section: Cognitive Neurosciencementioning

confidence: 99%

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Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications

et al. 2020

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Artificial intelligence and all its supporting tools, e.g. machine and deep learning in computational intelligence-based systems, are rebuilding our society (economy, education, life-style, etc.) and promising a new era for the social welfare state. In this paper we summarize recent advances in data science and artificial intelligence within the interplay between natural and artificial computation. A review of recent works published in the latter field and the state the art are summarized in a comprehensive and self-contained way to provide a baseline framework for the international community in artificial intelligence. Moreover, this paper aims to provide a complete analysis and some relevant discussions of the current trends and insights within several theoretical and application fields covered in the essay, from theoretical models in

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Section: Cognitive Neurosciencementioning

confidence: 99%

Section: Cognitive Neurosciencementioning

confidence: 99%