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Dynamic Web Information Foraging Using Self-interested Agents

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Recent Advances in Information Systems and Technologies (WorldCIST 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 569))

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Abstract

In this paper, a dynamic information foraging approach is proposed. Game theory and more precisely normal-form is used in order to represent the addressed problem. We model the issue of Web information foraging as a game played by a set of self-interested agents that aim to reach relevant Web pages in a short time. We consider a pure strategy, a mixed strategy and a fully mixed strategy respectively for three kinds of players. Finally, we present the experimental results we obtained by applying our approach on the Citation Network Dataset. The results confirm the ability of our approach to find relevant information in an effective and efficient way.

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Correspondence to Yassine Drias .

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Drias, Y., Kechid, S. (2017). Dynamic Web Information Foraging Using Self-interested Agents. In: Rocha, Á., Correia, A., Adeli, H., Reis, L., Costanzo, S. (eds) Recent Advances in Information Systems and Technologies. WorldCIST 2017. Advances in Intelligent Systems and Computing, vol 569. Springer, Cham. https://doi.org/10.1007/978-3-319-56535-4_41

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  • DOI: https://doi.org/10.1007/978-3-319-56535-4_41

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56534-7

  • Online ISBN: 978-3-319-56535-4

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