人类行为解释与转换系统的多通道进化框架研究

人类行为解释系统已经成为不同学科都感兴趣的研究课题.人类行为的本质是多通道的，本文通过大量的文献分析，总结了研究人类行为解释系统的各种方法，进而提出一种人类行为解释系统的框架.该框架的主要内容包括数据表达、数据流、背景、定义数据集及其表达、数据分析、解释、应用开发、系统工程及可拓学方法等.总结了上述有助于人类行为解释系统进化的框架.在结论中，提出了一个三阶段进化框架，包括根据应用需求训练系统、系统的运行、对预期行为的转化.

Evolving Multimodal Frameworks for Human Behavior Interpretation and Transformation System

Human Behavior Interpretation System has been topic of interest from various disciplines. The nature of behavior is multimodal and authors have attempted to integrate various findings from literature review to find various approaches to evolve Human Behavior Interpretation System in developing a framework for human behavior interpretation. The important aspects of frame work include representation, data flow, context, defining datasets and their representation, data analysis, interpretation, application development, system engineering and Extenics approach. The paper summarizes the above factors which are helpful to evolve frameworks for human behavior interpretation system. In conclusion authors have evolved a framework which has three stages. Stage first is conditioning of the system depending on application, second stage is the operations of the system. Finally third stage is of transformation for expected behavior.