Enter a brief description of your changes
(Required)
Minor changes are by default collapsed in the page history.
No changes
The page does not exist yet.
Failed to load changes
Version by on
Leave Collaboration
Are you sure you want to leave the realtime collaboration and continue editing alone? The changes you save while editing alone will lead to merge conflicts with the changes auto-saved by the realtime editing session.
Using Swarm Intelligence in Linda Systems
Robert Tolksdorf, Ronaldo Menezes
Andrea Omicini, Paolo Petta, Jeremy Pitt (eds.)
Engineering Societies in the Agents World IV, pages 49–65
Lecture Notes in Computer Science 3071
Springer
June 2004
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.
Engineering Societies in the Agents World IV (edited volume, 2004) — Andrea Omicini, Paolo Petta, Jeremy Pitt