Pattern recognition based on multi-agent

Abstract

ABSTRACT Traditional method of pattern recognition confuse difference tow procession of pattern memory (microcosmic layer) and pattern classifying (macroscopic layer), it is main cause which the pattern methods are difficulty applied to solve really problem. A new frame of APRF (Agent-based Pattern Recognition Frame) is proposed based on Agent theory. The study goal of APRF are cognizing pattern from integral view, erecting the bridge between microcosmic layer and macroscopic layer and uncovering pe rplex of pattern emerge. Key words : pattern recognition; Agent; APRF; pattern memory; pattern emerges. 1. INTRODUCTION Pattern recognition is a basic intelligence of human being. People often perform many “pattern recognition” in their daily lives. For example, many of us can recognize faces we have not seen for many years, even in disguise, and recognize voices over a poor telephone line. In recent fifty years, the new methods and technology of pattern recognition emerge in endlessly, such as statistical pattern recognition, syntactic pattern recognition, neural network pattern recognition, synergetic pattern recognition, bionic pattern recognition, sub-space pattern recognition, fuzzy pattern recognition and multi-classifier combined pattern recognition, etc