### 抄録

Sequential allocation is one of the most fundamental models for allocating indivisible items to agents in a decentralized manner, in which agents sequentially pick their favorite items among the remainder based on a pre-defined priority ordering of agents (a sequence). In recent years, algorithmic issues about agents' manipulations have also been investigated, such as the computational complexity of verifying whether a given bundle of items is achievable and maximizing one's utility under a given additive utility function. In this paper we consider a slightly modified model, where the selection process is divided into rounds, each agent obtains exactly one item in each round, and the sequence per round is determined uniformly at random. It is natural to expect that finding a profitable manipulation is difficult even for the case of two agents, since a manipulator must consider exponentially many possible sequences with respect to the number of rounds due to randomization. To our surprise, however, an optimal manipulation can be computed without any exploration for exponentially decaying utilities. Furthermore, for general additive utilities, although some exploration is required, it can still be done in polynomial time with respect to the number of rounds.

元の言語 | 英語 |
---|---|

ホスト出版物のタイトル | AAMAS 2016 - Proceedings of the 2016 International Conference on Autonomous Agents and Multiagent Systems |

出版者 | International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS) |

ページ | 141-149 |

ページ数 | 9 |

ISBN（電子版） | 9781450342391 |

出版物ステータス | 出版済み - 1 1 2016 |

イベント | 15th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2016 - Singapore, シンガポール 継続期間: 5 9 2016 → 5 13 2016 |

### 出版物シリーズ

名前 | Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS |
---|---|

ISSN（印刷物） | 1548-8403 |

ISSN（電子版） | 1558-2914 |

### その他

その他 | 15th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2016 |
---|---|

国 | シンガポール |

市 | Singapore |

期間 | 5/9/16 → 5/13/16 |

### Fingerprint

### All Science Journal Classification (ASJC) codes

- Artificial Intelligence
- Software
- Control and Systems Engineering

### これを引用

*AAMAS 2016 - Proceedings of the 2016 International Conference on Autonomous Agents and Multiagent Systems*(pp. 141-149). (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).

**Manipulations in two-agent sequential allocation with random sequences.** / Tominaga, Yuto; Todov, Taiki; Yokoo, Makoto.

研究成果: 著書/レポートタイプへの貢献 › 会議での発言

*AAMAS 2016 - Proceedings of the 2016 International Conference on Autonomous Agents and Multiagent Systems.*Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), pp. 141-149, 15th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2016, Singapore, シンガポール, 5/9/16.

}

TY - GEN

T1 - Manipulations in two-agent sequential allocation with random sequences

AU - Tominaga, Yuto

AU - Todov, Taiki

AU - Yokoo, Makoto

PY - 2016/1/1

Y1 - 2016/1/1

N2 - Sequential allocation is one of the most fundamental models for allocating indivisible items to agents in a decentralized manner, in which agents sequentially pick their favorite items among the remainder based on a pre-defined priority ordering of agents (a sequence). In recent years, algorithmic issues about agents' manipulations have also been investigated, such as the computational complexity of verifying whether a given bundle of items is achievable and maximizing one's utility under a given additive utility function. In this paper we consider a slightly modified model, where the selection process is divided into rounds, each agent obtains exactly one item in each round, and the sequence per round is determined uniformly at random. It is natural to expect that finding a profitable manipulation is difficult even for the case of two agents, since a manipulator must consider exponentially many possible sequences with respect to the number of rounds due to randomization. To our surprise, however, an optimal manipulation can be computed without any exploration for exponentially decaying utilities. Furthermore, for general additive utilities, although some exploration is required, it can still be done in polynomial time with respect to the number of rounds.

AB - Sequential allocation is one of the most fundamental models for allocating indivisible items to agents in a decentralized manner, in which agents sequentially pick their favorite items among the remainder based on a pre-defined priority ordering of agents (a sequence). In recent years, algorithmic issues about agents' manipulations have also been investigated, such as the computational complexity of verifying whether a given bundle of items is achievable and maximizing one's utility under a given additive utility function. In this paper we consider a slightly modified model, where the selection process is divided into rounds, each agent obtains exactly one item in each round, and the sequence per round is determined uniformly at random. It is natural to expect that finding a profitable manipulation is difficult even for the case of two agents, since a manipulator must consider exponentially many possible sequences with respect to the number of rounds due to randomization. To our surprise, however, an optimal manipulation can be computed without any exploration for exponentially decaying utilities. Furthermore, for general additive utilities, although some exploration is required, it can still be done in polynomial time with respect to the number of rounds.

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M3 - Conference contribution

AN - SCOPUS:85014144012

T3 - Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS

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EP - 149

BT - AAMAS 2016 - Proceedings of the 2016 International Conference on Autonomous Agents and Multiagent Systems

PB - International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)

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