Artificial Intelligence

Computational models of creativity have featured in research into creativity. Using Artificial Intelligence to simulate creativity is an emerging and developing area and Mekwen et al. (2019) reviewed the recent computational models of aspects of human creativity. Such models allow for a mechanistic approach to cognitive processes. One recent development of this has involved experimenting with computational models using knowledge of


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Concept map how humans perform creative problem solving

Figure 10.1 Concept map how humans perform creative problem solving. Olteteanu (2020) has developed a framework to examine whether a diverse set of creative problem solving tasks can be solved computationally using a unified set of principles. She described the implementation of prototype Artificial Intelligence systems, and the experiments conducted with them (see also Bahety and Olteteanu, 2019).

Artificial Intelligence and Big Data

Artificial Intelligence (Al) is used in a variety of other ways and can be found across a large number of sectors, from assembly-line robots to advanced toys, and from speech-recognition systems to medical research. Its most common application is to find patterns in data, which is why it is commonly applied in online search engines and recommendation sites.

Al can allow users of Big Data to automate and enhance complex descriptive and predictive analytical tasks that would be extremely labour intensive and time consuming if performed by hand. An instance is Google Translate which is said to incorporate billions of pages of translations into its judgement.

At the simplest level, search engines such a Google can assist users with problem by finding answers or insights which although not known to the user may already have been uncovered by other users. Web search engines vary in the way they operate but all search the Web - or select pieces of the Web - based on important words. They keep an index of the words they find, and where they find them. They allow users to look for words or combinations of words found in that index (Franklin, 2010). Of course, if the problem and solution to it have not been reported on the Web, then it is necessary to consider a different approach.

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