In a multi-agent system, each agent must adapt itself to the environment and coordinate with other agents dynamically. TO predict or cooperate with the behavior of oiller agents. An agent should dynamically establish ...In a multi-agent system, each agent must adapt itself to the environment and coordinate with other agents dynamically. TO predict or cooperate with the behavior of oiller agents. An agent should dynamically establish and evolve the cooperative behavior model of itself. In this paper, we represent the behavior model of an agent as a f-mite state machine and propose a new method of dynamically evolving the behavior model of an agent by evolutionary programming.展开更多
提出一种基于控制流的程序行为扩展模型EMPDA(extended model based on push down automaton).对控制流模型加入不变性约束扩展,该模型能够表达程序正常运行时所应保持的不变性质约束,增强了模型的监控能力;通过以实际应用区分系统调用...提出一种基于控制流的程序行为扩展模型EMPDA(extended model based on push down automaton).对控制流模型加入不变性约束扩展,该模型能够表达程序正常运行时所应保持的不变性质约束,增强了模型的监控能力;通过以实际应用区分系统调用重要性,将模型划分为核心模型和辅助模型,以降低模型整体消耗,提高模型学习效率.实验结果表明,该扩展模型较之原模型有更好的覆盖速度、误报率以及检测能力.展开更多
文摘In a multi-agent system, each agent must adapt itself to the environment and coordinate with other agents dynamically. TO predict or cooperate with the behavior of oiller agents. An agent should dynamically establish and evolve the cooperative behavior model of itself. In this paper, we represent the behavior model of an agent as a f-mite state machine and propose a new method of dynamically evolving the behavior model of an agent by evolutionary programming.
文摘提出一种基于控制流的程序行为扩展模型EMPDA(extended model based on push down automaton).对控制流模型加入不变性约束扩展,该模型能够表达程序正常运行时所应保持的不变性质约束,增强了模型的监控能力;通过以实际应用区分系统调用重要性,将模型划分为核心模型和辅助模型,以降低模型整体消耗,提高模型学习效率.实验结果表明,该扩展模型较之原模型有更好的覆盖速度、误报率以及检测能力.
