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Liquid brains, solid brains

机译:液体大脑,固体脑

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摘要

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.
机译:认知网络已经进化了广泛的解决方案,对收集,存储和响应信息的问题。 这些网络中的一些被描述为在连接的自适应网址中链接的静态神经元组。 这些是“实体”网络,具有明确定义和物理持久的架构。 其他系统由交换,存储和处理信息的一组代理组形成,但没有持久连接或在物理空间中相对于彼此移动。 我们指的是这些网络缺乏稳定的连接和静态元素作为“液体”脑,包括蚂蚁和白蚁菌落,免疫系统和一些微生物体和粘液模具的类别。 固体和液体脑之间的关键差异是什么,特别是在他们的认知潜力,解决特定问题和环境的能力以及信息处理策略? 回答这个问题需要一个新的综合框架。

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