Using Swarm Intelligence in Linda Systems

Natural forming multi-agent systems can grow to enormous sizes and perform seemingly complex tasks without the existence of any centralized control. Their success comes from the fact that agents are simple and the interaction with the environment and neighboring agents is local in nature. We describe how swarm intelligence can be used in the implementation of a Linda-based system called SwarmLinda. We argue that SwarmLinda achieves many desired characteristics such as scalability, adaptiveness and even some level of fault-tolerance.