Multi-agent Parallel Study Of Natural Language Communication Capabilities In The Design Environment

Multi-Agent parallel processing system has become an extremely effective method to solve many large-scale science and engineering problems. According to the point that cooperation between distributed agents is erratically, understanding and expressing cooperate message exactly are necessary to agent. Researching the natural language communication is an important research field in parallel processing currently.This paper describes in detail the design methods and implementation techniques of a natural language communications module in a multi-agent parallel design environment. The method is based upon the restricted language and gives prominence to the veracity of the communications between the negotiator multi-agents. In this paper, we define a restricted nature language subset. We design and realize a restricted words library and lexical analysis algorithm: at the same time we give some methods to improve the performance of the lexical analysis, such as replacement algorithm responsible for selecting the word which should be in memory and technology to refresh the library which involve the words in commonly use. In this paper, we restrict the sentence styles used by users, we take use of augmented phrase-structure grammar to analyze the structure of the sentence and generate the semantic logical functions through additional semantic analysis. We define the templates that are used to generate nature language sentence, and the agents can call functions to make natural language sentences that are based on templates. We put forward some methods to improve the communications veracity in the restricted language environment. At last it provides an agile, friendly interface, and improves the performance of the environment.