TY - GEN
T1 - Computational aspects of extending the shapley value to coalitional games with externalities
AU - Michalak, Tomasz
AU - Rahwan, Talal
AU - Marciniak, Dorota
AU - Szamotulski, Marcin
AU - Jennings, Nicholas R.
PY - 2010
Y1 - 2010
N2 - Until recently, computational aspects of the Shapley value were only studied under the assumption that there are no externalities from coalition formation, i.e., that the value of any coalition is independent of other coalitions in the system. However, externalities play a key role in many real-life situations and have been extensively studied in the game-theoretic and economic literature. In this paper, we consider the issue of computing extensions of the Shapley value to coalitional games with externalities proposed by Myerson [21], Pham Do and Norde [23], and McQuillin [17]. To facilitate efficient computation of these extensions, we propose a new representation for coalitional games with externalities, which is based on weighted logical expressions. We demonstrate that this representation is fully expressive and, sometimes, exponentially more concise than the conventional partition function game model. Furthermore, it allows us to compute the aforementioned extensions of the Shapley value in time linear in the size of the input.
AB - Until recently, computational aspects of the Shapley value were only studied under the assumption that there are no externalities from coalition formation, i.e., that the value of any coalition is independent of other coalitions in the system. However, externalities play a key role in many real-life situations and have been extensively studied in the game-theoretic and economic literature. In this paper, we consider the issue of computing extensions of the Shapley value to coalitional games with externalities proposed by Myerson [21], Pham Do and Norde [23], and McQuillin [17]. To facilitate efficient computation of these extensions, we propose a new representation for coalitional games with externalities, which is based on weighted logical expressions. We demonstrate that this representation is fully expressive and, sometimes, exponentially more concise than the conventional partition function game model. Furthermore, it allows us to compute the aforementioned extensions of the Shapley value in time linear in the size of the input.
UR - http://www.scopus.com/inward/record.url?scp=77956017662&partnerID=8YFLogxK
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U2 - 10.3233/978-1-60750-606-5-197
DO - 10.3233/978-1-60750-606-5-197
M3 - Conference contribution
AN - SCOPUS:77956017662
SN - 9781607506058
T3 - Frontiers in Artificial Intelligence and Applications
SP - 197
EP - 202
BT - ECAI 2010
PB - IOS Press
T2 - 2nd Workshop on Knowledge Representation for Health Care, KR4HC 2010, held in conjunction with the 19th European Conference in Artificial Intelligence, ECAI 2010
Y2 - 17 August 2010 through 17 August 2010
ER -