發(fā)布時間：2018-06-12 00:10

  本文選題：合作演化 + 囚徒博弈��； 參考：《計(jì)算機(jī)仿真》2017年08期

【摘要】：空間博弈研究中多假定網(wǎng)絡(luò)上物理相鄰的個體必然發(fā)生博弈,忽略了真實(shí)系統(tǒng)中個體與鄰居發(fā)生交互不具確定性。從合作演化的角度,利用空間囚徒博弈理論,依據(jù)策略性質(zhì)對博弈分類,提出一種"隨機(jī)交互強(qiáng)度"機(jī)制,使博弈以固定概率隨機(jī)地發(fā)生在相鄰個體間,建立了基于二維正方晶格網(wǎng)絡(luò)的博弈演化模型,并使用多主體系統(tǒng)進(jìn)行了仿真。利用系統(tǒng)平均合作水平作為判據(jù),對比連續(xù)策略系統(tǒng)與離散策略系統(tǒng)的不同交互強(qiáng)度,給出了仿真結(jié)果。結(jié)果表明,個體間博弈的隨機(jī)性可以提高離散策略系統(tǒng)的平均合作水平,較低的交互強(qiáng)度可使系統(tǒng)達(dá)到合作穩(wěn)定態(tài),相比于必然性交互機(jī)制,上述機(jī)制可以有效促進(jìn)持離散策略個體間的合作。
[Abstract]:In the study of spatial game, it is assumed that the physical adjacent individuals on the network must play games, and the interaction between individuals and neighbors in real systems is not deterministic. From the point of view of cooperative evolution, using the theory of spatial prisoner game and classifying the game according to the nature of strategy, a mechanism of "random interaction intensity" is proposed, which makes the game happen randomly between adjacent individuals with fixed probability. A game evolution model based on two-dimensional square lattice network is established and simulated with multi-agent system. The average cooperation level of the system is used as the criterion to compare the different interaction intensity between the continuous policy system and the discrete policy system, and the simulation results are given. The results show that the randomness of the game between individuals can improve the average cooperation level of the discrete strategy system, and the low interaction intensity can make the system achieve cooperative stability, compared with the inevitable interaction mechanism. The above mechanism can effectively promote the cooperation among individuals with discrete strategy.
【作者單位】： 大連理工大學(xué)軟件學(xué)院;
【基金】：國家自然科學(xué)基金資助課題(61300087) 遼寧省自然科學(xué)基金(2015020003) 中央高�；究蒲袠I(yè)務(wù)費(fèi)專項(xiàng)資金資助(DUT15QY40)
【分類號】：O225
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本文編號：2007305