*********************************
There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
*********************************
Title: Combinatorial Machine Learning Creativity
Matthew Guzdial
Ph.D. Student
School of Interactive Computing
College of Computing
Georgia Institute of Technology
Date: Tuesday, November 14 2017
Time: 3:00 - 5:00PM (EDT)
Location: TSRB 222
Committee:
Dr. Mark Riedl (Advisor, School of Interactive Computing, Georgia Institute of Technology)
Dr. Ashok Goel (School of Interactive Computing, Georgia Tech)
Dr. Charles Isbell (School of Interactive Computing, Georgia Tech)
Dr. Brian Magerko (School of Literature, Media, Communication, Georgia Tech)
Dr. Devi Parikh (School of Interactive Computing, Georgia Tech
Dr. Michael Mateas (Computational Media Department, University of California, Santa Cruz)
Abstract:
We propose the application of techniques from the field of creativity research to machine learned models. The techniques in question are combinatorial creativity techniques, defined as techniques that combine two sets of input to create novel output sets. In this way combinatorial machine learning creativity can produce new ML models without any training data. We present combinatorial machine learning creativity applied in the domain of video games and propose future applications in other domains.
