【摘要】：多智能體模型的構(gòu)建可分為若干環(huán)節(jié),其中狀態(tài)更新規(guī)則往往被設(shè)定為同步狀態(tài)更新規(guī)則。然而,現(xiàn)實自然和社會系統(tǒng)中普遍存在的是異步狀態(tài)更新規(guī)則。已有文獻發(fā)現(xiàn)異步狀態(tài)更新規(guī)則下和同步狀態(tài)更新規(guī)則下的系統(tǒng)動力學(xué)過程有著顯著區(qū)別,但目前尚實證或?qū)嶒炑芯刻剿鳟惒叫缘男再|(zhì)。為此,基于Pearson相關(guān)系數(shù)定義了狀態(tài)更新序列間一致性度量指標(biāo),然后基于由隨機異步狀態(tài)更新規(guī)則產(chǎn)生的序列間一致性頻率分布,構(gòu)建了判定狀態(tài)更新規(guī)則有序性的方法。最后,將所構(gòu)建方法應(yīng)用于一組二階段任務(wù)更新實驗數(shù)據(jù),探索性分析了現(xiàn)實系統(tǒng)的異步狀態(tài)更新規(guī)則性質(zhì)。結(jié)果發(fā)現(xiàn),大部分系統(tǒng)的狀態(tài)更新規(guī)則具有隨機有序性。研究結(jié)論可幫助理解社會系統(tǒng)動力學(xué)過程,同時對多智能體建模具有重要啟示。
[Abstract]:The construction of multi-agent model can be divided into several steps, in which state update rules are often set as synchronous state update rules. However, asynchronous state update rules are common in real-world and social systems. It has been found that there are significant differences between the asynchronous state update rules and the synchronous state update rules in the system dynamics process, but there are still some empirical or experimental studies to explore the nature of asynchronism. Therefore, based on Pearson correlation coefficient, the consistency measure index between state update sequences is defined, and then based on the frequency distribution of consistency among sequences generated by random asynchronous state update rules, a method to determine the order of state update rules is proposed. Finally, the proposed method is applied to a set of two-stage task update experiment data, and the nature of asynchronous state update rules of the real system is analyzed. The results show that the state update rules of most systems are random and ordered. The conclusions can help to understand the process of social system dynamics and have important implications for multi-agent modeling.
【作者單位】： 上海對外經(jīng)貿(mào)大學(xué)統(tǒng)計與信息學(xué)院;上海財經(jīng)大學(xué)信息管理與工程學(xué)院;上海財經(jīng)大學(xué)實驗中心;駐上海航天局八0二所軍代室;
【基金】：國家自然科學(xué)基金資助項目(71271126) 教育部人文社會科學(xué)研究規(guī)劃項目(15YJCZH201) 2017年上海高校青年教師培養(yǎng)計劃項目 上海市教育委員會科研創(chuàng)新項目(14YZ134)
【分類號】：TP18

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