Collaboration rules for autonomous software agents |
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| Affiliation: | 1. Shanghai Institute of Ceramics, Chinese Academy of Sciences, Key Laboratory of Inorganic Functional Material and Device, 200080, Shanghai, PR China;2. University of Chinese Academy of Sciences, 100049, Beijing, PR China;1. Recruit Sumai Company Ltd., Tokyo 100-6640, Japan;2. Graduate School of Science and Technology, Niigata University, Ikarashi, Niigata 950-2181, Japan;3. Faculty of Science, Niigata University, Ikarashi, Niigata 950-2181, Japan;1. School of Government, Universidad Adolfo Ibañez, Diagonal Las Torres 2640, Santiago, Chile;2. ILADES-Universidad Alberto Hurtado, Santiago, Chile;1. DIME—CINEF, Università degli studi di Genova, Via Opera Pia 15, 16145 Genova, Italy;2. DIA, Università degli studi di Trieste, Via A. Valerio 10, 34127 Trieste, Italy;1. College of Information Science and Engineering; State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, Liaoning, 110819, China;2. School of Management, Heilongjiang University of Science and Technology, Harbin, Heilongjiang, 150022, China;3. Department of Mathematics, The University of Hong Kong, Pokfulam, Hong Kong, China;4. Department of Industrial and Systems Engineering, National University of Singapore, Singapore |
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| Abstract: | Can autonomous software agents that are distributed over a computer network collaborate effectively? Both empirical evidence and theory suggest that they can. Moreover, there seem to be simple rules for designing problem-solving organizations in which collaboration among such agents is automatic and scale-effective (adding agents tends to improve solution-quality; adding computers tends to improve solution-speed). This paper develops some of these rules for off-line problems and argues that they can be extended for the on-line (real-time) control of power systems. |
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