HYPER: A New Approach for the Recognition and Positioning of Two-Dimensional Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Robotics Research
Solving jigsaw puzzles by computer
Annals of Operations Research
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Performance Modelling of Communication Networks and Computer Architectures (International Computer S
Performance Modelling of Communication Networks and Computer Architectures (International Computer S
Learning Message-Related Coordination Control in Multiagent Systems
Selected Papers from the 4th Australian Workshop on Distributed Artificial Intelligence, Multi-Agent Systems: Theories, Languages, and Applications
A shape and image merging technique to solve jigsaw puzzles
Pattern Recognition Letters
Assembly of Puzzles Using a Genetic Algorithm
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 4 - Volume 4
A global approach to automatic solution of jigsaw puzzles
Computational Geometry: Theory and Applications - Special issue on the 18th annual symposium on computational geometry—SoCG2002
Neural Signatures: Multiple Coding in Spiking–bursting Cells
Biological Cybernetics
Communication Optimization Algorithms based on Extend Data Flow Graph
SNPD '07 Proceedings of the Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Volume 03
Small-world characteristics of Internet topologies and implications on multicast scaling
Computer Networks: The International Journal of Computer and Telecommunications Networking
Criticality analysis of Internet infrastructure
Computer Networks: The International Journal of Computer and Telecommunications Networking
Signature Neural Networks: Definition and Application to Multidimensional Sorting Problems
IEEE Transactions on Neural Networks
Preface to the Special Issue on intelligent distributed computing
Concurrency and Computation: Practice & Experience
| Hi-index | 0.00 |
Network communications have been widely studied in the last decades in different research fields: artificial intelligence, computer science, biology, medicine and psychology among others. Some important efforts have been carried out to analyse communication features such as overhead, connectivity or communication protocols in these areas from their own perspectives. When this problem is restricted to intelligent agents or multi-agent systems, networks are built by a set of interconnected agents that can be software or hardware. In multi-agent systems, communication optimization is used to improve the overall performance of the system by reducing the information sharing (i.e. number of messages or message size) between the agents. This paper analyses a scale-free network topology of agents to solve a multi-sorting problem. The agents use their local information as well as a bio-inspired identity discrimination process to select only those messages that are relevant for each agent to solve jigsaw puzzles. We provide a comprehensive study on the influence of some essential parameters (memory information size and reconnection probability) in an agent network, and how they can be set to obtain a better performance in the system. The experiments show that this strategy contributes to reduce the number of iterations needed to solve the problem. Copyright © 2011 John Wiley & Sons, Ltd.