Summary
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 to be used in human chance discoveries, and is needed if our machines are to make their own chance discoveries.
“Chance favors only the prepared mind.” — Louis Pasteur
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Dietrich, E., Markman, A.B., Stilwell, C.H., Winkley, M. (2003). The Prepared Mind: the Role of Representational Change in Chance Discovery. In: Ohsawa, Y., McBurney, P. (eds) Chance Discovery. Advanced Information Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-06230-2_15
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DOI: https://doi.org/10.1007/978-3-662-06230-2_15
Publisher Name: Springer, Berlin, Heidelberg
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