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摘要翻译：
Ouroboros模型是一种新的概念性的算法结构，用于生物和人工代理的有效数据处理。它的中心特征是一个一般的重复循环，其中一个迭代循环为下一个迭代循环设置阶段。感觉输入激活数据结构（图式）与以前遇到的相似成分，因此期望被点燃。这对应于所选模式中空槽的高亮显示，这些期望与实际遇到的输入进行比较。根据该消耗分析的结果，触发不同的后续步骤，如搜索进一步的数据或重置，即使用另一个模式的新尝试。对整个过程的监控，特别是对消费分析指导下的激活流的监控，为注意力和资源的最佳分配产生了有价值的反馈，包括选择性地建立有用的新记忆条目。
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英文标题：
《Flow of Activity in the Ouroboros Model》
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作者：
Knud Thomsen
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最新提交年份：
2009
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分类信息：
一级分类：Computer Science 计算机科学
二级分类：Artificial Intelligence 人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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英文摘要：
The Ouroboros Model is a new conceptual proposal for an algorithmic structure for efficient data processing in living beings as well as for artificial agents. Its central feature is a general repetitive loop where one iteration cycle sets the stage for the next. Sensory input activates data structures (schemata) with similar constituents encountered before, thus expectations are kindled. This corresponds to the highlighting of empty slots in the selected schema, and these expectations are compared with the actually encountered input. Depending on the outcome of this consumption analysis different next steps like search for further data or a reset, i.e. a new attempt employing another schema, are triggered. Monitoring of the whole process, and in particular of the flow of activation directed by the consumption analysis, yields valuable feedback for the optimum allocation of attention and resources including the selective establishment of useful new memory entries.
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PDF链接：
https://arxiv.org/pdf/0903.5054
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