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Making Neural Nets Simple

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Seminar✓ Recording AvailableNeuroscience

Making neural nets simple enough to succeed at universal relational generalization

Kenneth Kurtz

Prof

Binghamton University

Schedule
Monday, November 16, 2020

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Monday, November 16, 2020

5:00 PM Europe/London

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Host: Analogical Minds

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Analogical Minds

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Abstract

Traditional brain-style (connectionist) approaches basically hit a wall when it comes to relational cognition. As an alternative to the well-known approaches of structured connectionism and deep learning, I present an engine for relational pattern recognition based on minimalist reinterpretations of first principles of connectionism. Results of computational experiments will be discussed on problems testing relational learning and universal generalization.

Topics

computational experimentsconnectionismdeep learningminimalist approachesneural networksrelational cognitionrelational learningrelational pattern recognitionstructured connectionismuniversal generalization

About the Speaker

Kenneth Kurtz

Prof

Binghamton University

Contact & Resources

Personal Website

www.binghamton.edu/psychology/people/profile.html

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