[HTML][HTML] Hierarchical conceptual spaces for concept combination

M Lewis, J Lawry - Artificial Intelligence, 2016 - Elsevier
Artificial Intelligence, 2016Elsevier
We introduce a hierarchical framework for conjunctive concept combination based on
conceptual spaces and random set theory. The model has the flexibility to account for
composition of concepts at various levels of complexity. We show that the conjunctive model
includes linear combination as a special case, and that the more general model can account
for non-compositional behaviours such as overextension, non-commutativity, preservation of
necessity and impossibility of attributes and to some extent, attribute loss or emergence. We …
Abstract
We introduce a hierarchical framework for conjunctive concept combination based on conceptual spaces and random set theory. The model has the flexibility to account for composition of concepts at various levels of complexity. We show that the conjunctive model includes linear combination as a special case, and that the more general model can account for non-compositional behaviours such as overextension, non-commutativity, preservation of necessity and impossibility of attributes and to some extent, attribute loss or emergence. We investigate two further aspects of human concept use, the conjunction fallacy and the ‘guppy effect’.
Elsevier
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