Paper Info
Title
Developing multi-agent systems with automatic agent generation and dynamic task allocation mechanisms
Abstract
Multi-Agent System (MAS) is a suitable programming paradigm for distributed information systems and applications. We have been working on a set of technologies and mechanisms to ease and formalize the development of MAS, and to increase its reliability and reuse-ability too. We aim to cover the analysis and modeling, design and implementation phases. The first goal is to separate concerns. We have proposed a three-layered development process to separate the multiple issues in a multi-agent system, while some of them are application-dependent, others are not; some of them are platform-dependent and others are not. We have also aimed to separate the domain knowledge and the intelligent problem-solving capabilities. We adapt a role-based modeling approach, conceptual roles are defined with the domain related knowledge, such as goals, permissions, organizational relationship, and interaction protocols, etc; where agent is a concrete entity equipped with motivations, resources and problem-solving capabilities.
Year
DOI
Venue
2007
10.1145/1329125.1329378
AAMAS
Keywords
Field
DocType
multi-agent system,dynamic task allocation mechanism,role-based modeling approach,conceptual role,implementation phase,problem-solving capability,three-layered development process,separate concern,automatic agent generation,intelligent problem-solving capability,domain knowledge,concrete entity,development process,multi agent systems,programming paradigm,multi agent system,motivations
Information system,Domain knowledge,Software engineering,Programming paradigm,Computer science,Knowledge management,Multi-agent system,Distributed computing
Conference
Citations 
PageRank 
References 
3
0.41
6
Authors
3
Name
Order
Citations
PageRank
Xiaoqin Zhang1389.23
Haiping Xu238542.47
Bhavesh Shrestha3101.53