Abstract
Recent years have seen various designs of strategyproof mechanisms in the facility location game and the obnoxious facility game, by considering the facility as a point. In this paper, we extend that point to be an interval and study a novel activity scheduling game to schedule an activity in the time domain [0, 1] based on all agents’ time reports. The activity lasts for a time period of d with 0 ≤ d ≤ 1, and each agent i wants his private time ti to be within the activity duration [y, y + d] or at least as close as possible. Thus his cost is the time difference between his time ti and the activity duration [y, y + d]. The social cost is the summation of all agents’ costs. Our objective is to choose the activity starting time y so that the mechanisms are strategyproof (truthful) and efficient. We design a mechanism outputting an optimal solution and prove it is group strategyproof. For minimizing the maximum cost, we also design a strategyproof mechanism with approximation ratio 2. In the obnoxious activity scheduling game, each agent prefers his conflict time ti to be far away from the activity duration [y, y + d]. We respectively design deterministic and randomized group strategyproof mechanisms with provable approximation ratios and also show the lower bounds. Besides, for extension, we consider the cost/utility as the characteristic function and find group strategyproof mechanisms for minimizing the social cost and maximizing the social utility.
| Original language | English |
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| Title of host publication | AAMAS’20 |
| Subtitle of host publication | Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems |
| Publisher | Association for Computing Machinery |
| Pages | 1539-1547 |
| Number of pages | 9 |
| ISBN (Electronic) | 978-1-4503-7518-4, 9781450375184 |
| Publication status | Published - May 2020 |
| Event | 19th International Conference on Autonomous Agents and Multi-Agent Systems, AAMAS 2020 - Virtual, Auckland, New Zealand Duration: 9 May 2020 → 13 May 2020 https://aamas2020.conference.auckland.ac.nz/ https://dl.acm.org/doi/proceedings/10.5555/3398761 |
Publication series
| Name | Proceedings of the International Conference on Autonomous Agents and MultiAgent Systems |
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| ISSN (Electronic) | 2523-5699 |
Conference
| Conference | 19th International Conference on Autonomous Agents and Multi-Agent Systems, AAMAS 2020 |
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| Place | New Zealand |
| City | Auckland |
| Period | 9/05/20 → 13/05/20 |
| Internet address |
Bibliographical note
Research Unit(s) information for this publication is provided by the author(s) concerned.Research Keywords
- [SCCG] Cooperative games: theory & analysis
- [SCCG] Social choice theory