Referenced Items are not available for this document.
In this article, we study social networks of agents, where agents learn not only from private signals (i.e., signals only available to the agents receiving them), but from other agents too. Based on all the available information, agents modify their beliefs in events of interest and make decisions on which actions to take based on the beliefs. In doing so, they optimize functions that reflect some (cumulative) reward. This problem has been studied in various disciplines including control theory, operations research, artificial intelligence, game theory, information theory, economics, statistics, computer science, and signal processing.
Published in:
Signal Processing Magazine, IEEE
(Volume:29
,
Issue:
2
)
Date of Publication: March 2012
- Page(s):
- 65 - 76
- ISSN :
- 1053-5888
- INSPEC Accession Number:
- 12537583
- Digital Object Identifier :
- 10.1109/MSP.2011.943495
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 16 February 2012
- Issue Date :
- March 2012
- Sponsored by :
- IEEE Signal Processing Society
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