AAAI Publications, Thirty-Second AAAI Conference on Artificial Intelligence

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AI Challenges in Synthetic Biology Engineering
Fusun Yaman, Aaron Adler, Jacob Beal

Last modified: 2018-04-27

Abstract


A wide variety of Artificial Intelligence (AI) techniques, from expert systems to machine learning to robotics, are needed in the field of synthetic biology. This paper describes the design-build-test engineering cycle and lists some challenges in which AI can help.

Keywords


Synthetic Biology; Challenges; knowledge-based systems; knowledge representation; semantic networks; frame representations; machine learning; hypothesis generation; expert systems; constraint-based reasoning; planning under uncertainty; robotics

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