Abstract
A new perspective on classifying cognitive systems is presented in which a distinction is made based on how the world is represented, rather than the typical distinction between cognitivist and emergent approaches. It is argued that the typical classification in essence distinguishes between systems by their implementation, rather than by their properties. The alternative presented here instead focuses on how the system represents the world (if at all) and whether these representations are intelligible to the designer or the system itself. From this novel angle, existing systems are better classified and importantly a gap in existing cognitive systems research becomes evident. An outline of a well-founded cognitive system that fills this space is put forward, one which cognitive robotics is ideally situated to explore.
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Gratton, M.J. (2013). Cognitivist and Emergent Cognition - An Alternative Perspective. In: Kühnberger, KU., Rudolph, S., Wang, P. (eds) Artificial General Intelligence. AGI 2013. Lecture Notes in Computer Science(), vol 7999. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39521-5_22
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DOI: https://doi.org/10.1007/978-3-642-39521-5_22
Publisher Name: Springer, Berlin, Heidelberg
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