Visualising and debugging distributed multi-agent systems
Proceedings of the third annual conference on Autonomous Agents
ZEUS: a toolkit and approach for building distributed multi-agent systems
Proceedings of the third annual conference on Autonomous Agents
The Gaia Methodology for Agent-Oriented Analysis and Design
Autonomous Agents and Multi-Agent Systems
FreeWalk/Q: social interaction platform in virtual space
Proceedings of the ACM symposium on Virtual reality software and technology
Using emergence in participatory simulations to design multi-agent systems
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Introduction to Scenario Description Language Q
ICKS '07 Proceedings of the Second International Conference on Informatics Research for Development of Knowledge Society Infrastructure
Modeling human behavior for virtual training systems
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
Multi-agent based simulation: where are the agents?
MABS'02 Proceedings of the 3rd international conference on Multi-agent-based simulation II
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Multiagent Systems are potential computational systems for various practical applications, tools, and so on. Multiagent simulation is one of the remarkable application to evaluate several kinds of phenomena. In order to design an agent for multiagent simulation, it is important to reflect user's opinion. However, if a user is not computer professional or does not have technical knowledge of agent logics and programming language, it is hard for him/her to implement his/her own opinion. Participatory design is a promising approach to incorporate user's opinion in the agent design and modification process. In this paper, we propose rehearsal oriented testing for implementation of participatory design. By the rehearsal oriented testing, it becomes possible to carry out anytime modification of agent's scenario, which describe its behavior during simulation. For rehearsal oriented testing, we set operators for modifying scenarios, which is described using finite state machine model. We also design interaction protocol between a user and an agent to smoothly get information through the user-agent dialog for modifying operators. Under this protocol, an agent informs a user about what kind of information is required.