Communications of the ACM
Visual assessment of engineering processes in virtual enterprises
Communications of the ACM
Extreme programming explained: embrace change
Extreme programming explained: embrace change
Extreme programming of multi-agent systems
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
A Roadmap of Agent Research and Development
Autonomous Agents and Multi-Agent Systems
The Gaia Methodology for Agent-Oriented Analysis and Design
Autonomous Agents and Multi-Agent Systems
Distributed Intelligent Agents
IEEE Expert: Intelligent Systems and Their Applications
Agent Oriented Analysis Using Message/UML
AOSE '01 Revised Papers and Invited Contributions from the Second International Workshop on Agent-Oriented Software Engineering II
Prometheus: a methodology for developing intelligent agents
AOSE'02 Proceedings of the 3rd international conference on Agent-oriented software engineering III
SUnit: a unit testing framework for test driven development of multi-agent systems
AOSE'06 Proceedings of the 7th international conference on Agent-oriented software engineering VII
| Hi-index | 0.00 |
This paper introduces a methodology for the development of multi-agent systems, in particular multi-agent systems that optimize the collaboration of distributed work groups like clinical departments. A major difficulty with such systems is requirements elicitation, because intimate knowledge of the work processes is needed to identify the potential agent application scenarios. In the face of uncertain requirements, our methodology exploits some ideas from agile software development approaches such as Extreme Programming, namely the values of collaboration with domain experts and of human creativity driven by rapid feedback. We support collaboration by means of a tool-supported modeling approach that allows one to capture existing and agentified processes in a format that is sufficiently simple to be understood and maintained by domain experts. These process models can be automatically synchronized with executable agent source code, so that rapid feedback is ensured. We support creativity by means of a searchable repository of reusable agent design patterns and other types of process modeling knowledge.