David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
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Artificial Intelligence 47:139-159 (1991)
Artificial intelligence research has foundered on the issue of representation. When intelligence is approached in an incremental manner, with strict reliance on interfacing to the real world through perception and action, reliance on representation disappears. In this paper we outline our approach to incrementally building complete intelligent Creatures. The fundamental decomposition of the intelligent system is not into independent information processing units which must interface with each other via representations. Instead, the intelligent system is decomposed into independent and parallel activity producers which all interface directly to the world through perception and action, rather than interface to each other particularly much. The notions of central and peripheral systems evaporateeverything is both central and peripheral. Based on these principles we have built a very successful series of mobile robots which operate without supervision as Creatures in standard office environments
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Daniel A. Wilkenfeld (2013). Understanding as Representation Manipulability. Synthese 190 (6):997-1016.
Andreas K. Engel, Alexander Maye, Martin Kurthen & Peter König (2013). Where's the Action? The Pragmatic Turn in Cognitive Science. Trends in Cognitive Sciences 17 (5):202-209.
Jakob Hohwy (2014). The Self‐Evidencing Brain. Noûs 48 (1).
J. Adam Carter, Jesper Kallestrup, S. Orestis Palermos & Duncan Pritchard (2014). Varieties of Externalism. Philosophical Issues 24 (1):63-109.
Andy Clark (1999). An Embodied Cognitive Science? Trends in Cognitive Sciences 3 (9):345-351.
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