TY - GEN
T1 - Split manipulations in cost sharing of minimum cost spanning tree
AU - Todo, Taiki
AU - Yokoo, Makoto
N1 - Funding Information:
This work is partially supported by JSPS KAKENHI Grants JP17H00761 and JP17H04695. The authors thank Etsushi Fujita for his contribution in an initial stage of this project. All errors are our own.
Publisher Copyright:
© 2020 The authors and IOS Press.
PY - 2020/8/24
Y1 - 2020/8/24
N2 - This paper studies minimum cost spanning tree (MCST) problems, in which an agent can behave as multiple agents by adding fake accounts. Since such split manipulations may increase the cost of MCST, it is important to (i) design a cost allocation rule under which no agent has an incentive to split her accounts, and (ii) analyze the resistance of the existing cost allocation rules against split manipulations. We first show that there exists no cost allocation rule that is both efficient and split-proof under the general domain. We then focus on the MCST problems with monotonic weight functions and show that there exists a cost allocation rule that is efficient, core-selecting, and split-proof. We finally analyze the resistance of the Bird rule, one of the most studied cost allocation rules in the literature, against split manipulations from three different perspectives: The mixed price of anarchy, the computational difficulty of manipulation, and domain restrictions.
AB - This paper studies minimum cost spanning tree (MCST) problems, in which an agent can behave as multiple agents by adding fake accounts. Since such split manipulations may increase the cost of MCST, it is important to (i) design a cost allocation rule under which no agent has an incentive to split her accounts, and (ii) analyze the resistance of the existing cost allocation rules against split manipulations. We first show that there exists no cost allocation rule that is both efficient and split-proof under the general domain. We then focus on the MCST problems with monotonic weight functions and show that there exists a cost allocation rule that is efficient, core-selecting, and split-proof. We finally analyze the resistance of the Bird rule, one of the most studied cost allocation rules in the literature, against split manipulations from three different perspectives: The mixed price of anarchy, the computational difficulty of manipulation, and domain restrictions.
UR - http://www.scopus.com/inward/record.url?scp=85091757404&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85091757404&partnerID=8YFLogxK
U2 - 10.3233/FAIA200096
DO - 10.3233/FAIA200096
M3 - Conference contribution
AN - SCOPUS:85091757404
T3 - Frontiers in Artificial Intelligence and Applications
SP - 219
EP - 226
BT - ECAI 2020 - 24th European Conference on Artificial Intelligence, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020 - Proceedings
A2 - De Giacomo, Giuseppe
A2 - Catala, Alejandro
A2 - Dilkina, Bistra
A2 - Milano, Michela
A2 - Barro, Senen
A2 - Bugarin, Alberto
A2 - Lang, Jerome
PB - IOS Press BV
T2 - 24th European Conference on Artificial Intelligence, ECAI 2020, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020
Y2 - 29 August 2020 through 8 September 2020
ER -