The Design of Intelligent Agents: A Layered Approach
The Design of Intelligent Agents: A Layered Approach
Testing the Efficiency of JADE Agent Platform
ISPDC '04 Proceedings of the Third International Symposium on Parallel and Distributed Computing/Third International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Networks
Cooperative Multi-Agent Learning: The State of the Art
Autonomous Agents and Multi-Agent Systems
Multi-agent development toolkits: an evaluation
IEA/AIE'2004 Proceedings of the 17th international conference on Innovations in applied artificial intelligence
Developing Multi-Agent Systems with JADE (Wiley Series in Agent Technology)
Developing Multi-Agent Systems with JADE (Wiley Series in Agent Technology)
Towards an environment interface standard for agent platforms
Annals of Mathematics and Artificial Intelligence
Strategy-Based learning through communication with humans
KES-AMSTA'12 Proceedings of the 6th KES international conference on Agent and Multi-Agent Systems: technologies and applications
A comparison between a communication-based and a data mining-based learning approach for agents
Intelligent Decision Technologies
| Hi-index | 0.00 |
When modeling and simulating agent communities, one is usually interested in the macro effects that result at the system level from the interaction of individuals. However, when developing a scenario, designers need to specify the individual agents' behavior, their communication and organizational structure at the micro-level. Existing agent frameworks focus on either the macro or the micro perspective: Repast Simphony is an example of the former, JADE of the latter. We propose JREP, a novel integration of JADE and Repast Simphony that efficiently combines the macro and micro perspective with an interaction layer. It allows to see not only the overall system behavior, but also the individual together with its interests, goals and the communication to others for local coordination and cooperation. Scheduling of the agents, (time) synchronization and the registration of new agents with the environment has been solved. An agent-based airport scenario is introduced a proof of concept for modeling and simulating in the JREP platform, for validating scalability and performance properties, a simple coin flip scenario is described.