This research advances distributed information sharing by equipping nodes (e.g.,
software agents) in a distributed network with (1) partner selection algorithms in
cooperative environments, and (2) strategies for providing and requesting information in
competitive environments. In cooperative environments, information providers are
willing to provide requested information, but information consumers must consider
uncertainty in the quality of provided information when selecting appropriate information
providers. In competitive environments, if a self-interested agent can be an information
consumer and provider at the same time, agents need to determine the best ways to
request and provide information so that the information acquisition utility can be
maximized. This research defines a set of metrics for evaluating information acquisition
utility, and presents a game-theoretic approach for determining the best information
sharing strategies based on stochastic games. The results show how agents build
collaborative relationships with appropriate agents and how the information acquisition
utility is affected by those relationships. / text
| Identifer | oai:union.ndltd.org:UTEXAS/oai:repositories.lib.utexas.edu:2152/7549 |
| Date | 01 June 2010 |
| Creators | Park, Jisun |
| Source Sets | University of Texas |
| Language | English |
| Detected Language | English |
| Format | electronic |
| Rights | Copyright is held by the author. Presentation of this material on the Libraries' web site by University Libraries, The University of Texas at Austin was made possible under a limited license grant from the author who has retained all copyrights in the works. |
Page generated in 0.0016 seconds