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Penalty Bidding Mechanisms for Allocating Resources and Ove..:

, In: Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems,

Ma, Hongyao ; Meir, Reshef ; Parkes, David C.. - p. 807-815 , 2020

Link: https://dl.acm.org/doi/10.5555/3398761.3398857

RT 
T1 <cTitle>Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems</cTitle>: T1 <Title>Penalty Bidding Mechanisms for Allocating Resources and Overcoming Present-Bias</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3398857&Exemplar=1&LAN=DE
				
A1 Ma, Hongyao
A1 Meir, Reshef
A1 Parkes, David C.
A1 Wu-Yan, Elena
PB International Foundation for Autonomous Agents and Multiagent Systems
YR 2020
K1 contingent payments
K1 mechanism design
K1 present bias
K1 Theory of computation
K1 Theory and algorithms for application domains
K1 Algorithmic game theory and mechanism design
K1 Applied computing
K1 Law, social and behavioral sciences
K1 Economics
K1 Computing methodologies
K1 Artificial intelligence
K1 Planning and scheduling
K1 Planning under uncertainty
K1 Distributed artificial intelligence
K1 Multi-agent systems
SP 807
OP 815
LK http://dx.doi.org/https://dl.acm.org/doi/10.5555/3398761.3398857
DO https://dl.acm.org/doi/10.5555/3398761.3398857
SF ELIB - SuUB Bremen

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