Analogical Reasoning with Neuro-Symbolic AI
Schedule
Wednesday, February 23, 2022
20:00 UTC
Hiroshi Honda
Keio University
Host: Analogical Minds
Recording
Open recording
Event Information
Recording
Available
Host
Analogical Minds
Duration
60 minutes
Abstract
Knowledge discovery with computers requires a huge amount of search. Analogical reasoning is effective for efficient knowledge discovery. Therefore, we proposed analogical reasoning systems based on first-order predicate logic using Neuro-Symbolic AI. Neuro-Symbolic AI is a combination of Symbolic AI and artificial neural networks and has features that are easy for human interpretation and robust against data ambiguity and errors. We have implemented analogical reasoning systems by Neuro-symbolic AI models with word embedding which can represent similarity between words. Using the proposed systems, we efficiently extracted unknown rules from knowledge bases described in Prolog. The proposed method is the first case of analogical reasoning based on the first-order predicate logic using deep learning.
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