TY - GEN
T1 - False-name-proof locations of two facilities
T2 - 30th AAAI Conference on Artificial Intelligence, AAAI 2016
AU - Sonoda, Akihisa
AU - Todo, Taiki
AU - Yokoo, Makoto
N1 - Publisher Copyright:
© 2016, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
PY - 2016
Y1 - 2016
N2 - This paper considers a mechanism design problem for locating two identical facilities on an interval, in which an agent can pretend to be multiple agents. A mechanism selects a pair of locations on the interval according to the declared singlepeaked preferences of agents. An agent's utility is determined by the location of the better one (typically the closer to her ideal point). This model can represent various application domains. For example, assume a company is going to release two models of its product line and performs a questionnaire survey in an online forum to determine their detailed specs. Typically, a customer will buy only one model, but she can answer multiple times by logging onto the forum under several email accounts. We first characterize possible outcomes of mechanisms that satisfy false-name-proofness, as well as some mild conditions. By extending the result, we completely characterize the class of false-name-proof mechanisms when locating two facilities on a circle.We then clarify the approximation ratios of the false-name-proof mechanisms on a line metric for the social and maximum costs. 1 Introduction.
AB - This paper considers a mechanism design problem for locating two identical facilities on an interval, in which an agent can pretend to be multiple agents. A mechanism selects a pair of locations on the interval according to the declared singlepeaked preferences of agents. An agent's utility is determined by the location of the better one (typically the closer to her ideal point). This model can represent various application domains. For example, assume a company is going to release two models of its product line and performs a questionnaire survey in an online forum to determine their detailed specs. Typically, a customer will buy only one model, but she can answer multiple times by logging onto the forum under several email accounts. We first characterize possible outcomes of mechanisms that satisfy false-name-proofness, as well as some mild conditions. By extending the result, we completely characterize the class of false-name-proof mechanisms when locating two facilities on a circle.We then clarify the approximation ratios of the false-name-proof mechanisms on a line metric for the social and maximum costs. 1 Introduction.
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M3 - Conference contribution
AN - SCOPUS:85007189739
T3 - 30th AAAI Conference on Artificial Intelligence, AAAI 2016
SP - 615
EP - 621
BT - 30th AAAI Conference on Artificial Intelligence, AAAI 2016
PB - AAAI Press
Y2 - 12 February 2016 through 17 February 2016
ER -