Please use this identifier to cite or link to this item: https://dspace.ncfu.ru/handle/20.500.12258/2594
Title: Computing the Shapley value in allocation problems: approximations and bounds, with an application to the Italian VQR research assessment program
Authors: Schaerf, M.
Keywords: Allocation problem;Approximation algorithms;Coalitional games;Game theory;Research assessment exercises;Shapley value computation
Issue Date: 2018
Publisher: Taylor and Francis Ltd.
Citation: Lupia, F., Mendicelli, A., Ribichini, A., Scarcello, F., Schaerf, M. Computing the Shapley value in allocation problems: approximations and bounds, with an application to the Italian VQR research assessment program // Journal of Experimental and Theoretical Artificial Intelligence. - 2018. - Volume 30. - Issue 4. - Pages 505-524
Series/Report no.: Journal of Experimental and Theoretical Artificial Intelligence
Abstract: In allocation problems with indivisible goods, money compensation is used to distribute worth in a fair way. Coalitional games provide a formal mathematical framework to model such problems, and the Shapley value is a solution concept widely used to realise a fair distribution. To overcome its intractability, we describe how to simplify allocation problems and we propose algorithms for computing lower bounds and upper bounds of the Shapley value that can be combined with approximation algorithms. The proposed techniques have been implemented and tested on a real-world application of allocation problems, namely, the Italian research assessment program known as VQR
URI: https://www.scopus.com/record/display.uri?eid=2-s2.0-85045101580&origin=resultslist&sort=plf-f&src=s&st1=Computing+the+Shapley+value+in+allocation+problems&st2=&sid=afc1c4afc32b2af093b000b4cb046879&sot=b&sdt=b&sl=65&s=TITLE-ABS-KEY%28Computing+the+Shapley+value+in+allocation+problems%29&relpos=0&citeCnt=0&searchTerm=#
http://hdl.handle.net/20.500.12258/2594
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