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Handbook of the Shapley Value
Google books makes available excerpts from the new
Handbook of the Shapley Value
edited by Encarnación Algaba, Vito Fragnelli, Joaquín Sánchez-Soriano
CRC Press, Dec 6, 2019
I wrote a Foreword:
The Shapley Value: a giant legacy, and ongoing research agenda,
the final paragraph (p6) of which is
"Lloyd Stowell Shapley was one of the founding giants of game theory, who helped lay the foundations of both cooperative and non-cooperative game theory, and who influenced everything and everyone in the field. He was born in 1923. His paper defining the Shapley value was published in 1953, when he was 30 years old. A previous volume on the Shapley value, Roth (1988), was published in honor of his 65th birthday. The present volume brings up to date the important stream of research on the Shapley value that has continued, unabated, ever since Shapley first proposed it, and that I expect will continue for the foreseeable future."
In this connection, see my recent post about the use of the Shapley value for explaining particular predictions made by machine learning algorithms:
Handbook of the Shapley Value
edited by Encarnación Algaba, Vito Fragnelli, Joaquín Sánchez-Soriano
CRC Press, Dec 6, 2019
I wrote a Foreword:
The Shapley Value: a giant legacy, and ongoing research agenda,
the final paragraph (p6) of which is
"Lloyd Stowell Shapley was one of the founding giants of game theory, who helped lay the foundations of both cooperative and non-cooperative game theory, and who influenced everything and everyone in the field. He was born in 1923. His paper defining the Shapley value was published in 1953, when he was 30 years old. A previous volume on the Shapley value, Roth (1988), was published in honor of his 65th birthday. The present volume brings up to date the important stream of research on the Shapley value that has continued, unabated, ever since Shapley first proposed it, and that I expect will continue for the foreseeable future."
In this connection, see my recent post about the use of the Shapley value for explaining particular predictions made by machine learning algorithms:
Sunday, December 22, 2019 The Shapley value and explainable machine learning
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