Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Causality: models, reasoning, and inference
Causality: models, reasoning, and inference
Communications of the ACM
Coordination languages and their significance
Communications of the ACM
JavaSpaces Principles, Patterns, and Practice
JavaSpaces Principles, Patterns, and Practice
Multiple Tuple Spaces in Linda
PARLE '89 Proceedings of the Parallel Architectures and Languages Europe, Volume II: Parallel Languages
Tuples On The Air: A Middleware for Context-Aware Computing in Dynamic Networks
ICDCSW '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Concurrent and Distributed Computing in Java
Concurrent and Distributed Computing in Java
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Self-organized control of knowledge generation in pervasive computing systems
Proceedings of the 2009 ACM symposium on Applied Computing
Contextual Data Management and Retrieval: A Self-Organized Approach
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
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Tuple-space systems based on the LINDA model have been in use in distributed systems for nearly two decades. An area that has recently received attention from the distributed systems community is Swarm Intelligence (SI) --- SI has been successfully used in fields such as robotics and optimisation. Recently its properties have started to attract research in distributed systems. In this paper we merge SI concepts into the LINDA model to provide an adaptive approach to time which is unrelated to external (real) time: the result is the introduction of an adaptive concept of time into the system, without changing the LINDA model --- we call it fading. Some potential applications of this concept are discussed, along with implications for feasible implementation.