BYTE - Lecture notes in computer science Vol. 174
Actors: a model of concurrent computation in distributed systems
Actors: a model of concurrent computation in distributed systems
On agent-based software engineering
Artificial Intelligence
MACE3J: fast flexible distributed simulation of large, large-grain multi-agent systems
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
Grid Computing: Making the Global Infrastructure a Reality
Grid Computing: Making the Global Infrastructure a Reality
Evolution of the GPGP/TÆMS Domain-Independent Coordination Framework
Autonomous Agents and Multi-Agent Systems
The Grid 2: Blueprint for a New Computing Infrastructure
The Grid 2: Blueprint for a New Computing Infrastructure
Middleware Support for Performance Improvement of MABS Applications in the Grid Environment
Multi-Agent-Based Simulation VIII
Dividing Agents on the Grid for Large Scale Simulation
PRIMA '08 Proceedings of the 11th Pacific Rim International Conference on Multi-Agents: Intelligent Agents and Multi-Agent Systems
A hybrid time management approach to agent-based simulation
KI'06 Proceedings of the 29th annual German conference on Artificial intelligence
Scalability in distributed simulations of agent-based models
Winter Simulation Conference
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The emerging “Computational Grid” infrastructure poses many new opportunities for the developing science of large scale multi-agent simulation. The ability to migrate agent experiments seamlessly from simple, local single-processor development tools to large-scale distributed simulation environments provides valuable new models for experimentation and software engineering: first develop local, flexible prototypes, then as they become more stable progressively deploy and experiment with them at larger scales. Currently this kind of progressive scalability is hard for both practical and theoretical reasons: Practically, most agent platforms are designed for just one environment of operation. Smooth scalability is more than a matter of increasing agent numbers. Smooth scaling requires clear integration and consistent alignment between a variety of MAS system and simulation architectures and differing underlying infrastructures. This paper reports on recent progress with our experimental platform MACE3J, which now simulates MAS models seamlessly across a variety of scales and architecture types, from single PCs, to Single System Image (SSI) multicomputers, to heterogeneous distributed Grid environments.