论文标题
组合决策DAGS：通用智能的自然计算模型
Combinatorial Decision Dags: A Natural Computational Model for General Intelligence
论文作者
论文摘要
提出了一种利用组合逻辑来创建高阶决策树的新型计算模型（CODD）。概述了关于形式识别和模式形成的形式理论的一般智能的理论分析，并在以CODD语言表达模式的情况下显示出特别自然的形式。逻辑熵与算法信息以及香农熵和运行时复杂性之间的关系被证明是通过这种方法阐明的。还简要讨论了量子计算情况的扩展。
A novel computational model (CoDD) utilizing combinatory logic to create higher-order decision trees is presented. A theoretical analysis of general intelligence in terms of the formal theory of pattern recognition and pattern formation is outlined, and shown to take especially natural form in the case where patterns are expressed in CoDD language. Relationships between logical entropy and algorithmic information, and Shannon entropy and runtime complexity, are shown to be elucidated by this approach. Extension to the quantum computing case is also briefly discussed.
