Alicea Bradly, Gordon Richard, Parent Jesse
OpenWorm Foundation, Boston, MA, USA.
Orthogonal Research and Education Laboratory, Champaign-Urbana, IL, USA.
Interface Focus. 2023 Apr 14;13(3):20220067. doi: 10.1098/rsfs.2022.0067. eCollection 2023 Jun 6.
The embryological view of development is that coordinated gene expression, cellular physics and migration provides the basis for phenotypic complexity. This stands in contrast with the prevailing view of embodied cognition, which claims that informational feedback between organisms and their environment is key to the emergence of intelligent behaviours. We aim to unite these two perspectives as , in which morphogenetic symmetry breaking produces specialized organismal subsystems which serve as a substrate for the emergence of autonomous behaviours. As embodied cognitive morphogenesis produces fluctuating phenotypic asymmetry and the emergence of information processing subsystems, we observe three distinct properties: acquisition, generativity and transformation. Using a generic organismal agent, such properties are captured through models such as tensegrity networks, differentiation trees and embodied hypernetworks, providing a means to identify the context of various symmetry-breaking events in developmental time. Related concepts that help us define this phenotype further include concepts such as modularity, homeostasis and 4E (embodied, enactive, embedded and extended) cognition. We conclude by considering these autonomous developmental systems as a process called connectogenesis, connecting various parts of the emerged phenotype into an approach useful for the analysis of organisms and the design of bioinspired computational agents.
胚胎学的发育观点认为,协调的基因表达、细胞物理学和细胞迁移为表型复杂性提供了基础。这与具身认知的主流观点形成对比,具身认知观点认为生物体与其环境之间的信息反馈是智能行为出现的关键。我们旨在将这两种观点统一起来,即形态发生对称破缺产生专门的生物体子系统,这些子系统作为自主行为出现的基础。由于具身认知形态发生产生波动的表型不对称和信息处理子系统的出现,我们观察到三个不同的属性:获取、生成性和转换。使用通用的生物体智能体,这些属性通过诸如张拉整体网络、分化树和具身超网络等模型来捕捉,这提供了一种手段来识别发育时间中各种对称破缺事件的背景。有助于我们进一步定义这种表型的相关概念包括模块化、稳态和4E(具身、生成、嵌入和扩展)认知等概念。我们通过将这些自主发育系统视为一个称为连接生成的过程来得出结论,即将出现的表型的各个部分连接成一种对生物体分析和受生物启发的计算智能体设计有用的方法。