In a multi-battle contest, each time a player competes by investing some of her budgets or resources in a component battle to collect a value if winning the battle. There are multiple battles to fight, and the budgets get consumed over time. The final winner in the overall contest is the one who first reaches some amount of total value. Examples include R & D races, sports competition, elections, and many more. A player needs to make adequate sequential actions to win the contest against dynamic competition over time from the others. We are interested in how much budgets the players would need and what actions they should take in order to perform well. We model and study such budget-constrained multi-battle contests where each component battle is a sequential first-price or all-pay auction. We focus on analyzing the 2-player budget ratio that guarantees a player's winning against the other omnipotent player. In the settings considered, we find the optimal budget ratios and the corresponding bidding strategies. Our definition of game, budget constraints, and emphasis on budget analyses provide a new perspective and analysis for multi-battle contests. (C) 2018 Elsevier B.V. All rights reserved.
机构:
Anhui Univ, Sch Big Data & Stat, Hefei 230601, Peoples R China
Anhui Univ, Sch Math Sci, Hefei 230601, Peoples R China
Anhui Univ, Ctr Appl Math, Hefei 230601, Peoples R ChinaAnhui Univ, Sch Big Data & Stat, Hefei 230601, Peoples R China
Li, Hao
Dai, Xianchao
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Anhui Univ, Sch Big Data & Stat, Hefei 230601, Peoples R China
Anhui Univ, Sch Math Sci, Hefei 230601, Peoples R China
Anhui Univ, Ctr Appl Math, Hefei 230601, Peoples R ChinaAnhui Univ, Sch Big Data & Stat, Hefei 230601, Peoples R China
Dai, Xianchao
Zhou, Ligang
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Anhui Univ, Sch Big Data & Stat, Hefei 230601, Peoples R China
Anhui Univ, Sch Math Sci, Hefei 230601, Peoples R China
Anhui Univ, Ctr Appl Math, Hefei 230601, Peoples R ChinaAnhui Univ, Sch Big Data & Stat, Hefei 230601, Peoples R China
Zhou, Ligang
Yang, Wenming
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Anhui Univ Chinese Med, Affiliated Hosp 1, Hefei 230031, Peoples R ChinaAnhui Univ, Sch Big Data & Stat, Hefei 230601, Peoples R China
机构:
Chiang Mai Univ, Int Coll Digital Innovat, Syst Engn, Chiang Mai, ThailandChiang Mai Univ, Int Coll Digital Innovat, Syst Engn, Chiang Mai, Thailand
Zhai, Fan
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Dawod, Ahmad Yahya
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Chanaim, Somsak
Suyaroj, Naret
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Chiang Mai Univ, Int Coll Digital Innovat, Elect Engn, Chiang Mai, ThailandChiang Mai Univ, Int Coll Digital Innovat, Syst Engn, Chiang Mai, Thailand