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|Title:||Stochastic analysis of mobile agent-based e-shopping|
|Citation:||International Journal of Electronic Business, 2005; 3(3/4):339-355|
|Wenyu Qu, Hong Shen, John Sum|
|Abstract:||In this paper, we consider the problem of mobile agent-based e-shopping. We analyse the probability of success (the probability that an agent can find the destination shop) and the population growth of mobile agents. We found that though a single mobile agent may act randomly, the behaviour of all mobile agents as a whole has some stochastic properties. Our mathematical analysis provides a way to estimate user satisfaction and network performance. Since there is a trade-off between these two factors, managers can achieve maximum benefits by tuning the relevant parameters in our analysis according to the users' requirements and the characteristics of the network.|
|Keywords:||mobile agents; e-shopping; probability of success; population distribution; e-business; electronic business; agent-based systems; multi-agent systems; user satisfaction; network performance; e-commerce; electronic commerce.|
|Rights:||Copyright © 2005 Inderscience Enterprises Limited|
|Appears in Collections:||Computer Science publications|
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