1 ICREA-Complex Systems Lab, Universitat Pompeu Fabra , Carrer del Dr Aiguader 88, Barcelona 08003 , Spain.
2 Institut de Biologia Evolutiva (Universitat Pompeu Fabra-CSIC) , Passeig Maritim 37, Barcelona 08003 , Spain.
Philos Trans R Soc Lond B Biol Sci. 2019 Jun 10;374(1774):20190040. doi: 10.1098/rstb.2019.0040.
Cognitive networks have evolved a broad range of solutions to the problem of gathering, storing and responding to information. Some of these networks are describable as static sets of neurons linked in an adaptive web of connections. These are 'solid' networks, with a well-defined and physically persistent architecture. Other systems are formed by sets of agents that exchange, store and process information but without persistent connections or move relative to each other in physical space. We refer to these networks that lack stable connections and static elements as 'liquid' brains, a category that includes ant and termite colonies, immune systems and some microbiomes and slime moulds. What are the key differences between solid and liquid brains, particularly in their cognitive potential, ability to solve particular problems and environments, and information-processing strategies? To answer this question requires a new, integrative framework. This article is part of the theme issue 'Liquid brains, solid brains: How distributed cognitive architectures process information'.
认知网络已经发展出了广泛的解决方案来解决信息收集、存储和响应的问题。其中一些网络可以被描述为一组静态神经元，它们以自适应的连接网络连接在一起。这些是“固态”网络，具有明确的、物理上持久的架构。其他系统由一组可以交换、存储和处理信息的代理组成，但没有稳定的连接或在物理空间中相互移动。我们将这些缺乏稳定连接和静态元素的网络称为“液态”大脑，其中包括蚂蚁和白蚁群体、免疫系统以及一些微生物组和黏菌。固态大脑和液态大脑之间的关键区别是什么，特别是在认知潜力、解决特定问题和环境的能力以及信息处理策略方面？要回答这个问题，需要一个新的综合框架。本文是主题为“液态大脑，固态大脑：分布式认知架构如何处理信息”的一部分。
