Artificial intelligence (AI) is notoriously hard to define, and this has been both a boon and a curse. The broadness of the term has allowed for a very wide and disparate set of techniques to inhabit the same space, from data-intensive machine learning techniques such as neural networks to model-based deduction logics, and from the incorporation of techniques from statistics to the use of psychological models of the mind. At the same time, all these attempts to emulate existing forms of intelligence or create new ones has allowed for debates to flourish about what is actual intelligence. While in some contexts ...
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