Application Analysis about Model of Map Features Cooperative Generalization Based on Multi-Agents Method
Zhou Ton · Geography and Geo-Information Science · 2013
This paper first introduced the multi-Agents theory and methods to map feature cooperative generalization.The characteristic of multi-Agent and the advantages of its use in automatic map generalization were analyzed.The conceptual model of cooperative generalization based on multi-Agents was designed.The classification system of generalization Agent was constructed.What′s more,generalization Agent was further broken down into feature-Agent,object-Agent and group-Agent,and structure models of these Agents were designed.Different knowledge rules and generalization acts of different Agents were analyzed.The way how to reach reasoning process of automatic generalization based on knowledge rules was researched.Different results could be reached by setting different rules in generalization.However,it needs to be noted that generalization result should be set on powerful knowledge rules.Thus,establishing apowerful map knowledge base and researching self-learning characteristics of the Agents were the key issues in cooperative generalization based on Agents.