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An Agent-Based Operational Model for Hybrid Connectionist-Symbolic Learning

机译:基于Agent的混合连接主义-符号学习操作模型

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摘要

Hybridization of connectionist and symbolic systems is being proposed for machine learning purposes in many applications for different fields. However, a unified framework to analyse and compare learning methods has not appeared yet. In this paper, a multiagent-based approach is presented as an adequate model for hybrid learning. This approach is built upon the concept of bias.
机译:为了在不同领域的许多应用中的机器学习目的,提出了连接器和符号系统的混合。但是,尚未出现用于分析和比较学习方法的统一框架。在本文中,提出了一种基于多主体的方法作为混合学习的适当模型。这种方法建立在偏见的概念上。

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