An Agent Approach to Immunity-based Complex Systems

免疫系统被视为一个复杂的系统，具有自主和适应性代理（对应于许多类型的免疫细胞）。代理是在计算机或计算机网络上实现“基于免疫的系统”的主要原语。“免疫系统”是一种信息处理范式，它收集了免疫系统特有的处理原则。在这些原则中，我们重点讨论了以下几个方面：（1）代理人的分布式和基于网络的处理，（2）通过自我（非我）参考的“自我-非我区分”，（3）通过多样性的自适应策略。研究结果可以归纳为以下四点：1.一般性评论（报告第一部分）：讨论了将“基于免疫的系统”作为信息处理系统的设计范例。从复杂系统的角度讨论了免疫系统的仿真模型.应用1（报告第二部分）：上述设计范例作为规范得到进一步阐明。介绍了该方法在基于传感器的故障诊断、自适应干扰抑制和信息采集代理可信度评估等方面的应用.应用2（报告第三部分）：使用计算机网络防止计算机病毒的反病毒系统原型已经实施。从复杂系统的观点出发，对计算机病毒的传播现象进行了模拟。还考虑了有效防止扩散。理论考虑（报告第四部分）：多样性;通过关注艾滋病毒和免疫系统之间的相互作用，讨论了免疫系统使用的策略。的相互作用的动力学模型进行了分析的多样性措施。

The immune system, viewed as a complex system, has autonomous and adaptive agents (corresponding to many types of the immune cell). The agent is the main primitive to implement "immunity-based systems" on a computer or on computer networks. The "immunity-based system" is an information-processing paradigm that collects processing principles, which are peculiar in the immune system. Among the principles, we focused on the followings: (1) Distributed and network-based processing by agents, (2) "Self-nonself discrimination" by the self (nonself) reference, (3) Adaptive strategy by diversity. The research results can be summarized by the following four items.1. General Remarks (Part I of the report):A design paradigm to implement immunity-based system" as information-processing system is discussed. Models for simulating the immune system from the viewpoint of complex system are also discussed.2. Applications 1 (Part II of the report): The design paradigm above is further clarified as a specification. Applications to sensor-based diagnosis, adaptive disturbance rejection, and credibility evaluation of information gathering agents are presented.3. Applications 2 (Part III of the report): A prototype of an anti-virus system using a computer network against computer viruses is implemented. Simulations are conducted by viewing the spreading phenomena of computer viruses from the complex system view. Effective prevention against spreading is also considered.4. Theoretical Considerations (Part IV of the report): Diversity; the strategy used by the immune system is discussed by focusing on the interaction between HIV and the immune system. A dynamical model for the interaction is analyzed by a diversity measure.