电子学习系统中人工智能代理的分析

V. Yunchyk, N. Kunanets, V. Pasichnyk, Anatolii Fedoniuk
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引用次数: 0

摘要

分析了代理的关键术语和基本概念。根据外部环境模型的表示、处理信息的类型和执行的功能,给出了智能体的结构化一般分类。分析了人工智能体的分类(智能体、反射体、冲动体、营养体)。给出了智能体实现某种行为的必要条件,以及智能体的功能方案。指出了在代理体系结构中起关键作用的知识级别。一个相对独立工作的学习代理的功能图,展示了灵活的行为。讨论了反应剂的功能方案决定了其对环境的依赖性。详细描述了该智能体的特性,并给出了框图。考虑了代理体系结构的各种变体,特别是神经网络代理体系结构。提出了多层代理体系结构中层次交互的组织方法。对智能体的Will-architecture和InteRRaP- architecture给予了相当大的关注。研究了图灵机自主智能体的多层体系结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Artificial Intellectual Agents for E-Learning Systems
The key terms and basic concepts of the agent are analyzed. The structured general classification of agents according to the representation of the model of the external environment, by the type of processing information and by the functions performed is given. The classification of artificial agents (intellectual, reflex, impulsive, trophic) also is s analyzed. The necessary conditions for the implementation of a certain behavior by the agent are given, as well as the scheme of functioning of the intelligent agent. The levels of knowledge that play a key role in the architecture of the agent are indicated. The functional diagram of a learning agent that works relatively independently, demonstrating flexible behavior. It is discussed that the functional scheme of the reactive agent determines the dependence on the environment. The properties of the intelligent agent are described in detail and the block diagram is indicated. Various variants of agent architectures, in particular neural network agent architectures, are considered. The organization of level interaction in the multilevel agent architecture is proposed. Considerable attention is paid to the Will-architecture and InteRRaP- architecture of agents. A multilevel architecture for an autonomous agent of a Turing machine is considered.
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