Practical Introspection as Inspiration for AI

  • Sam Freed
Part of the Studies in Applied Philosophy, Epistemology and Rational Ethics book series (SAPERE, volume 5)


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.


Reinforcement Learn Case Base Reasoning Middle Ground Random Action Relevant Line 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Dept. of InformaticsUniversity of SussexBrightonUK

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