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Evolutionary biosemiotics and multilevel construction networks

机译:进化生物符号学和多层建筑网络

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摘要

In contrast to the traditional relational semiotics, biosemiotics decisively deviates towards dynamical aspects of signs at the evolutionary and developmental time scales. The analysis of sign dynamics requires constructivism (in a broad sense) to explain how new components such as subagents, sensors, effectors, and interpretation networks are produced by developing and evolving organisms. Semiotic networks that include signs, tools, and subagents are multilevel, and this feature supports the plasticity, robustness, and evolvability of organisms. The origin of life is described here as the emergence of simple self-constructing semiotic networks that progressively increased the diversity of their components and relations. Primitive organisms have no capacity to classify and track objects; thus, we need to admit the existence of proto-signs that directly regulate activities of agents without being associated with objects. However, object recognition and handling became possible in eukaryotic species with the development of extensive rewritable epigenetic memory as well as sensorial and effector capacities. Semiotic networks are based on sequential and recursive construction, where each step produces components (i.e., agents, scaffolds, signs, and resources) that are needed for the following steps of construction. Construction is not limited to repair and reproduction of what already exists or is unambiguously encoded, it also includes production of new components and behaviors via learning and evolution. A special case is the emergence of new levels of organization known as metasystem transition. Multilevel semiotic networks reshape the phenotype of organisms by combining a mosaic of features developed via learning and evolution of cooperating and/or conflicting subagents.
机译:与传统的关系符号学相反,生物符号学在进化和发展的时间尺度上明显地朝着符号的动态方面偏离。对信号动力学的分析需要建构主义(广义上)来解释生物的发展和进化如何产生新的成分,例如子因子,传感器,效应子和解释网络。包括符号,工具和子代理的符号网络是多层的,此功能支持生物的可塑性,健壮性和可进化性。生命的起源在这里被描述为简单的自我构建的符号网络的出现,该网络逐渐增加了它们组成和关系的多样性。原始生物没有能力对物体进行分类和跟踪。因此,我们需要承认存在直接调节代理活动而不与对象相关联的原型标志。然而,随着广泛的可重写表观遗传记忆以及感觉和效应能力的发展,在真核物种中物体识别和处理成为可能。符号网络基于顺序和递归构造,其中每个步骤都会生成后续构造步骤所需的组件(即代理,脚手架,标志和资源)。构建不仅限于对已经存在或明确编码的内容进行修复和复制,还包括通过学习和进化产生新的成分和行为。一种特殊情况是出现了称为元系统过渡的新级别组织。多级符号网络通过结合通过协作和/或冲突子代理的学习和发展而形成的特征的镶嵌图,来重塑生物的表型。

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