Abstract
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.
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Freed, S. (2013). Practical Introspection as Inspiration for AI. In: Müller, V. (eds) Philosophy and Theory of Artificial Intelligence. Studies in Applied Philosophy, Epistemology and Rational Ethics, vol 5. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31674-6_12
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DOI: https://doi.org/10.1007/978-3-642-31674-6_12
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