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Dual-Process System: An Architectural Pattern for Assurable Autonomous Robots Inspired by Dual-Process Theory
被引:0
|作者:
Czarnecki, Krzysztof
[1
]
机构:
[1] Univ Waterloo, Waterloo Intelligent Syst Engn WISE Lab, Waterloo, ON, Canada
来源:
关键词:
Autonomous systems;
Dual-process theory;
End-to-end neural architectures;
D O I:
10.1007/978-3-031-68738-9_32
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
This paper proposes the 'dual-process system,' an architectural pattern for assurable autonomous robots, inspired by the dualprocess theory of the human mind. It seamlessly integrates end-to-end neural architectures with symbolic AI methods, mitigating critical challenges in assurability, such as interpretability, robustness, and the handling of rare inputs, thereby enhancing both performance and safety.
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页码:405 / 411
页数:7
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