Show simple item record

dc.contributorEphraim P. Glinert Program Manageren_US
dc.contributor.authorH. Raghav Rao Principal Investigatoren_US
dc.datestart 12/01/1995en_US
dc.dateexpiration 11/30/1998en_US
dc.date.accessioned2014-04-02T18:28:08Z
dc.date.available2014-04-02T18:28:08Z
dc.date.issued2014-04-02
dc.identifier9505790en_US
dc.identifier.urihttp://hdl.handle.net/10477/24088
dc.descriptionGrant Amount: $ 109802en_US
dc.description.abstractIRI-9505790 Rao, H. Raghav SUNY-Buffalo $44, 498 - 12 mos This research is in discrete resource allocation among multiple agents in an environment of incomplete information. The problem is considered from the viewpoint of a coordinator. The existence of incomplete information makes the issues involved particularly complex. A decision and information theoretic perspective is being used to study multiple information structures, the nature of information flows, computational costs, and team problem solving. A comparative analysis of various information and communication structures for multi-agent decision-making will be undertaken, based on the concepts of spatial and logical entropy, with all of the likely significant costs included in the analysis. The results are expected to be significant both for the practical use of decision and information theoretic models and for providing insights into harder problems in discrete resource allocation under incomplete information.en_US
dc.titleDiscrete Resource Allocation Among Multiple Agents: A Decision and Information Theoretic Investigationen_US
dc.typeNSF Granten_US


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record