A TEAM-BASED ORGANIZATIONAL MODEL FOR ADAPTIVE MULTI-AGENT SYSTEMS

被引：0

作者：

Fatemi, Afsaneh ^{[1
]}

Zamanifar, Kamran ^{[1
]}

Bakhsh, Naser Nemat ^{[1
]}

Askari, Omid ^{[1
]}

机构：

[1] Univ Isfahan, Dept Comp Engn, Esfahan, Iran

来源：

ICAART 2011: PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 2 | 2011年

关键词：

Team-based organization model; Adaptive multi-agent system; Capability-based task allocation;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Proper organizational modelling is a challenging issue in complex cooperative multi-agent systems. In this paper, we propose a team-based multi-agent organizational model, based on the Schwaninger's model of intelligent human organizations. It provides an integrative framework to rapid task handling, the main effectiveness requirement in many applications. Adaptation via reorganization makes the model suitable for dynamic, uncertain environments. Fast initial team formation, greedy capability-based coalition formation, and using the nearest neighbours' resources improve utility compared to the identified hierarchical organizational models.

引用

页码：469 / 472

页数：4

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