Engineering adaptive gene circuits in bacteria mastering game playing by reinforcement learning
File(s)
Accepted version
Author(s)
Type
Conference Paper
Abstract
Learning to solve problems is central to artificial and living intelligent systems. Although physical and chemical systems mimicking neural connectivity have been shown to solve complex problems, no living system with a synthetic genetic construction has ever been reported to learn complex algorithms such as playing board games — a classic benchmark for artificial intelligence. Engineering a synthetic genetic system in living cells able to learn and play even the simplest board games, such as tic-tac-toe, has remained elusive because it requires not only a set of gene circuits implementing the needed decision algorithms but also an adaptive memory system that can predictably adjust their strength through learning. We will report that engineered Escherichia coli encoding a library of new genetic switches — we call memregulons — that act as both memory systems and logic gates, can learn to produce predictable gene regulation. As the memregulon devices allow the design of gene circuits with predictable behaviour, we use them to implement in living cells a computational algorithm allowing the bacteria to master playing tic-tac-toe by using reinforcement learning. Learning is achieved by persistently modifying the relative expression of memregulons by applying external chemicals after each training game is won or lost, leading to new decisions. Bacteria learn by playing against other players or other bacteria in an unsupervised manner and the same library allows them to learn other types of games or algorithms.
Date Issued
2021-02-12
Date Acceptance
2021-02-12
Citation
Biophysical Journal, 2021, 120 (3), pp.262A-262A
ISSN
0006-3495
Publisher
Biophysical Society
Start Page
262A
End Page
262A
Journal / Book Title
Biophysical Journal
Volume
120
Issue
3
Copyright Statement
© 2021 Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor
Wellcome Trust
Wellcome Trust
Biotechnology and Biological Sciences Research Council (BBSRC)
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000629601401514&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
102944/Z/13/Z
102944/Z/13/Z
BB/P020615/1
Source
The 1st International BioDesign Research Conference
Subjects
Science & Technology
Life Sciences & Biomedicine
Biophysics
Publication Status
Published
Start Date
2020-12-01
Finish Date
2020-12-18
Coverage Spatial
Virtual
Date Publish Online
2021-02-12