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T. Hogg and B. A. Huberman, “Artificial Intelligence and Large Scale Computation: A Physics Perspective,” Physics Reports, Vol. 156, No. 5, 1987, pp. 227-310. doi:10.1016/0370-1573(87)90096-2

has been cited by the following article:

• TITLE: Advancement in Information Foraging Theory

  AUTHORS: Shailesh Khapre, M. S. Saleem Basha

  KEYWORDS: Information Foraging; Information Scent; Patch-Models; Diet-Models; Marginal-Value; Foraging Theory

  JOURNAL NAME: Intelligent Information Management, Vol.4 No.6, November 30, 2012

  ABSTRACT: This paper presents the advantages of information foraging theory matched with traditional information retrieval theory and user behavior analysis theory, a search content framework for information foraging theory is described, on a thor- ough review of the two research branches i.e. the basic concept of information foraging theory and the elementary mod- els of information foraging theory, an extended framework is proposed,. Several problems for future research are also identified through.