David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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In Yukio Ohsawa Peter McBurney (ed.), Chance Discovery by Machines. Springer-Verlag, pp. 208-230. (2003)
Analogical reminding in humans and machines is a great source for chance discoveries because analogical reminding can produce representational change and thereby produce insights. Here, we present a new kind of representational change associated with analogical reminding called packing. We derived the algorithm in part from human data we have on packing. Here, we explain packing and its role in analogy making, and then present a computer model of packing in a micro-domain. We conclude that packing is likely used in human chance discoveries, and is needed if our machines are to make their own chance discoveries.
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Eric Dietrich (2008). Toward Extending the Relational Priming Model: Six Questions. Behavioral and Brain Sciences 31 (4):383-384.
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