Artificial intelligence machine architecture model with human intelligence ability

This is a model of artificial intelligence architecture developed using the technique of targeting and assembling various components (as needed) together to get artificial intelligence with characteristics similar to human intelligence. This model represents the general form, the strategy, and the mechanism of manufacturing an artificial intelligence device and the fact that based on what structure it can turn into artificial intelligence. One of the important features of this artificial intelligence model is that it does not work with the pre-planned algorithm; rather, the way that this artificial intelligence device works is that, given its own experiences, it is free to choose the method of performing a taskbased on the experiences. The four main tasks of this model include (I) Recognition and detection; (II) easy recall according to the storage method in the memory as well as optimization in storing information with the least amount of memory; (III) learning and applying experience; and (IV) the power ofdecision making and the ability to perform actions. In this model of artificial intelligence, the structure and tasks as well as the components of each part andtheir configurations, the hardware and software requirements based on the defined characteristics in this artificial intelligence model will be determined.

此乃一项基于定向组合多种组件（按需定制）以构建具备人类智能特征的智能架构模型。该模型详尽地阐述了构建人工智能设备的通用形态、策略与机制，并揭示了其结构如何转化为人工智能的本质。此人工智能模型的一大显著特性在于，其并非依赖于预先规划的算法；相反，该智能设备的工作方式是，基于自身经验，自主选择执行任务的策略。本模型包含的四大主要任务包括：（一）识别与检测；（二）根据存储方法在内存中的便捷回溯以及以最少内存量优化信息存储；（三）学习并应用经验；（四）决策能力及执行行动的能力。在此人工智能模型中，结构、任务以及各部分组件及其配置，以及基于定义特性的硬件和软件需求，均将得到明确界定。