期刊
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
卷 117, 期 4, 页码 1853-1859出版社
NATL ACAD SCIENCES
DOI: 10.1073/pnas.1910837117
关键词
evolutionary computation; artificial life; bioengineering
资金
- Defense Advanced Research Projects Agency (DARPA) [HR0011-18-2-0022]
- Lifelong Learning Machines program from DARPA/MTO
- Allen Discovery Center program through The Paul G. Allen Frontiers Group [12171]
- National Science Foundation's Emergent Behaviors of Integrated Cellular Systems Grant [CBET-0939511]
- National Science Foundation's Emerging Frontiers in Research and Innovation (EFRI) Continuum, Compliant, and Configurable Soft Robotics Engineering (C3 SoRo) program [EFMA-1830870]
Living systems are more robust, diverse, complex, and supportive of human life than any technology yet created. However, our ability to create novel lifeforms is currently limited to varying existing organisms or bioengineering organoids in vitro. Here we show a scalable pipeline for creating functional novel lifeforms: Al methods automatically design diverse candidate lifeforms in silico to perform some desired function, and transferable designs are then created using a cell-based construction toolkit to realize living systems with the predicted behaviors. Although some steps in this pipeline still require manual intervention, complete automation in future would pave the way to designing and deploying unique, bespoke living systems for a wide range of functions.
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