TitleSpontaneous analogy by piggybacking on a perceptual system
Publication TypeConference Paper
Year of Publication2013
AuthorsPickett, M, Aha, DW
Conference NameAnnual Conference of the Cognitive Science Society
PublisherCognitive Science Society
Conference LocationBerlin, Germany
KeywordsComputational analogy, spontaneous analogy
Abstract

Most computational models of analogy assume they are given a
delineated source domain and often a specified target domain.
These systems do not address how analogs can be isolated from
large domains and spontaneously retrieved from long-term
memory, a process we call spontaneous analogy. We present a
system that represents relational structures as feature bags. Using
this representation, our system leverages perceptual algorithms
to automatically create an ontology of relational structures
and to efficiently retrieve analogs for new relational structures
from long-term memory. We provide a demonstration of
our approach that takes a set of unsegmented stories, constructs
an ontology of analogical schemas (corresponding to plot devices),
and uses this ontology to efficiently find analogs within
new stories, yielding significant time-savings over linear analog
retrieval at a small accuracy cost.

Refereed DesignationRefereed
Full Text
NRL Publication Release Number: 
13-1231-0625
pub_tags: 
Computational analogy
spontaneous analogy
key_pub_tags: