摘要
由于Agent直接与现实世界发生交互作用,设计者难以事先预料所有可能出现的环境状况并一一规定恰当的处理方法,Agent往往不能产生恰当的行为,从而可能导致问题求解失败。本文结合BDI模型和非单调逻辑的优点,引入了可能信念概念和信念维护算子,表达了Agent和动态环境之间的互动关系;引入Agent价值概念和行为规划算子,表达了期望和意图之间的动态约束关系,很好地解决了Agent在非预期环境中的适应性问题。
Agents interact with the real world directly , so the designer cannot prospect all the prossibilities about environment and prescribe all the solutions, so the agents cannot produce correct actions. This will ultimately make the solution faiL In this article, we combine the BDI model' s and the non-monotonic logic' s merits, import the conception of possible belief and the operator of belief maintenance to express the interactions between the agents and the dynamic environment, import the conception of the agent value and the operator of action scheduling to express the dynamic restrictions between desire and belief, and solve the problem of the agents' adaptation in unexpected environment well.
出处
《计算机工程与科学》
CSCD
2006年第8期131-133,139,共4页
Computer Engineering & Science