考慮學(xué)習(xí)速度的小世界網(wǎng)絡(luò)上排污權(quán)拍賣(mài)策略演化
發(fā)布時(shí)間:2018-05-03 14:17
本文選題:信息交互結(jié)構(gòu) + 策略更新規(guī)則; 參考:《中國(guó)管理科學(xué)》2017年03期
【摘要】:針對(duì)排污權(quán)拍賣(mài)中廠商信息交互結(jié)構(gòu)對(duì)其策略演化的影響,運(yùn)用網(wǎng)絡(luò)演化博弈方法,將小世界網(wǎng)絡(luò)引入到排污權(quán)統(tǒng)一價(jià)格拍賣(mài)的博弈分析之中。采用小世界網(wǎng)絡(luò)刻畫(huà)廠商的信息交互結(jié)構(gòu),同時(shí)將廠商的學(xué)習(xí)速度引入到博弈參與人的博弈策略更新規(guī)則中,并運(yùn)用eclipse仿真研究廠商的策略演化與其學(xué)習(xí)速度及信息交互結(jié)構(gòu)的關(guān)系。研究結(jié)果表明:廠商的策略收斂速度與學(xué)習(xí)速度、度正相關(guān);與網(wǎng)絡(luò)聚類(lèi)系數(shù)、社團(tuán)結(jié)構(gòu)數(shù)目先正相關(guān)、后反相關(guān);社團(tuán)內(nèi)部廠商的策略收斂速度快于社團(tuán)外部廠商,存在最優(yōu)網(wǎng)絡(luò)聚類(lèi)系數(shù)與最優(yōu)社團(tuán)結(jié)構(gòu)數(shù)目。研究結(jié)果為排污權(quán)出讓方如何有效誘導(dǎo)競(jìng)買(mǎi)方真實(shí)報(bào)價(jià),提高雙方的決策效率提供了建議參考。
[Abstract]:Aiming at the influence of the information interaction structure on the evolution of pollution emission rights auction, the small world network is introduced into the game analysis of the unified price auction of emission rights by using the network evolution game method. The small world network is used to describe the information exchange structure of the firm, and the learning speed of the firm is introduced into the game strategy updating rules of the game participants. Eclipse simulation is used to study the relationship between vendor's strategy evolution and learning speed and information interaction structure. The results show that: the firm's strategy convergence speed is positively correlated with the learning speed and degree, and it is positively correlated with the network clustering coefficient, the number of community structure is positively correlated with the number of the community structure, and the strategy convergence rate of the firms within the community is faster than that of the firms outside the community. There exists an optimal network clustering coefficient and an optimal number of community structures. The results provide a reference for how to effectively induce the real offer of the buyer and improve the decision-making efficiency of both parties.
【作者單位】: 武漢大學(xué)經(jīng)濟(jì)與管理學(xué)院;
【基金】:國(guó)家自然科學(xué)基金資助項(xiàng)目(71371147)
【分類(lèi)號(hào)】:X196;F724.59
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