针对各种智能系统的命名体系达成共识:呼吁合作
Brett J Kagan1,2, Michael Mahlis1, Anjali Bhat3
1Cortical Labs, Brunswick, VIC 3056, Australia.
Innovation (Cambridge (Mass.))
|July 29, 2024
概括
建立一个共同的语言对于各种智能系统研究至关重要,无论是基于,如大型语言模型,还是基于生物学,如有机体. 需要一个社区的方法来同意命名法,以推进这个领域.
科学领域:
- 人工智能的人工智能
- 合成生物学 合成生物学
- 神经科学是一个神经科学.
背景情况:
- 科学语言的分歧阻碍了多学科的合作和社会影响.
- 多种智能系统的进步,包括大型语言模型和有机体,需要清晰的沟通.
- 智能在不同基质 (和生物) 的发展带来了独特的语言挑战.
研究的目的:
- 解决在各种智能系统快速发展的领域中对命名体系达成共识的关键需求.
- 为建立共同的术语提出一个协作途径.
- 确定关键术语和相关领域,用于命名规范的开发.
主要方法:
- 审查人工智能和合成生物学当前的术语.
- 确定潜在的语言冲突和重叠的领域.
- 提出基于社区的方法,以达成对命名体系的共识.
主要成果:
- 突出显示了需要标准化命名的关键术语和字段.
- 确定了统一方法对各种智能系统命名的紧迫性.
- 为科学界提出潜在的共识制造策略.
结论:
- 对于各种智能系统研究的进展,社区推动的命名共识是必不可少的.
- 标准化术语将促进跨学科的合作和理解.
- 采用拟议的方法可以导致人工智能和生物智能的共同语言.
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