An artificial immune system model for intelligent agents

被引：34

作者：

King, RL ^{[1
]}

Russ, SH ^{[1
]}

Lambert, AB ^{[1
]}

Reese, DS ^{[1
]}

机构：

[1] MSU NSF Engn Res Ctr Computat Field Simulat, Mississippi State, MS 39762 USA

来源：

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE | 2001年 / 17卷 / 04期

基金：

美国国家科学基金会;

关键词：

artificial immune system; heterogeneous computing; intelligent agents; biological models; predictive scheduling;

D O I：

10.1016/S0167-739X(99)00115-6

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper describes the human immune system and its functionalities from a computational viewpoint. The objective of this paper is to provide the biological basis for an artificial immune system. This paper will also serve to illustrate how a biological system can be studied and how inferences can be drawn from its operation that can be exploited in intelligent agents. Functionalities of the biological immune system (e.g., content addressable memory, adaptation, etc.) are identified for use in intelligent agents. Specifically, in this paper, an intelligent agent will be described for task allocation in a heterogeneous computing environment. Initial implementation of the agents will be described along with preliminary results. This research is not intended to develop an explicit model of the human immune system, but to exploit some of its functionalities in designing agent-based parallel and distributed control systems. (C) 2001 Elsevier Science B.V. All rights reserved.

引用

页码：335 / 343

页数：9

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