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Synthetic Biology and Artificial Intelligence: Grounding a Cross- Disciplinary Approach to the Synthetic Exploration of (Embodied) Cognition

机译:合成生物学与人工智能:跨学科方法为(嵌入)认知的合成探索奠定基础

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Recent scientific developments—the emergence in the 1990s of a "body-centered" artificial intelligence (AI) and the birth in the 2000s of synthetic biology (SB)—allow and require the constitution of a new cross-disciplinary synergy, that elsewhere we called "SB-AI." In this paper, we define the motivation, possibilities, limits and methodologies of this line of research. Based on the insufficiencies of embodied AI, we draw on frontier developments in synthetic cells SB to introduce a promising research program in SB-AI, which we define as Chemical Autopoietic AI. As we emphasize, the promise of this approach is twofold: building organizationally relevant wetware models of minimal biological-like systems, and contributing to the exploration of (embodied) cognition and to the full realization of the "embodiment turn" in contemporary AI.
机译:最近的科学发展-在1990年代出现了“以人体为中心”的人工智能(AI),并在2000年代诞生了合成生物学(SB)-允许并要求建立新的跨学科协同作用,在其他地方,我们称之为“ SB-AI”。在本文中,我们定义了这一研究类别的动机,可能性,局限性和方法论。基于嵌入式AI的不足,我们利用合成细胞SB的前沿发展,在SB-AI中引入了有前途的研究计划,我们将其定义为化学自生AI。正如我们强调的那样,这种方法的前景是双重的:建立与组织相关的最小类生物系统的湿件模型,并有助于探索(体现)认知并充分实现当代AI的“体现转向” 。

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