AI has progressed less than other fields of information technology due to a conceptual impasse. Though much effort has been employed to overcome this situation, often it has been from a restricted point-of-view e.g. philosophy alone or algorithms alone. This paper argues for (and exemplifies) an inter-disciplinary tactic for advancing the field of AI that integrates introspection with programming. The paper has two parts: The first outlines an introspective approach that has been largely overlooked and answers some of the (rather heated) arguments that have caused introspection to be sidelined. The second part offers a practical application of this approach - presented as an algorithm.
CITATION STYLE
Freed, S. (2013). Practical introspection as inspiration for AI. In Studies in Applied Philosophy, Epistemology and Rational Ethics (Vol. 5, pp. 167–177). Springer International Publishing. https://doi.org/10.1007/978-3-642-31674-6_12
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