基于对语言习得过程的多Agent系统仿真

The aim of the project is to carry out the simulation of the process of learning the semantic of language of a population. It is assumed that environment consists of a given, finite set of object that can be described by a certain state of attributes. These informations are taken from environment by the group of sensors represented in the system by low level Object Agents and then discused by Population Agents. New Agent appears in the area of population and on the way of communication with the agents of population (receiving communicates about environment formulated in global language) is to get to know the semantic of this language.