Probabilistic Analogical Mapping with Semantic Relation Networks
Schedule
Thursday, July 1, 2021
16:00 UTC
Hongjing Lu
Prof
UCLA
Host: Analogical Minds
Recording
Open recording
Event Information
Recording
Available
Host
Analogical Minds
Duration
45 minutes
Abstract
Hongjing Lu will present a new computational model of Probabilistic Analogical Mapping (PAM, in collaboration with Nick Ichien and Keith Holyoak) that finds systematic correspondences between inputs generated by machine learning. The model adopts a Bayesian framework for probabilistic graph matching, operating on semantic relation networks constructed from distributed representations of individual concepts (word embeddings created by Word2vec) and of relations between concepts (created by our BART model). We have used PAM to simulate a broad range of phenomena involving analogical mapping by both adults and children. Our approach demonstrates that human-like analogical mapping can emerge from comparison mechanisms applied to rich semantic representations of individual concepts and relations. More details can be found https://arxiv.org/ftp/arxiv/papers/2103/2103.16704.pdf
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