心理学报
心理學報
심이학보
Acta Psychologica Sinica
2010年
8期
821~833
,共null页
整合模型 启发式模型 齐当别模型 决策过程 反应时
整閤模型 啟髮式模型 齊噹彆模型 決策過程 反應時
정합모형 계발식모형 제당별모형 결책과정 반응시
integrative model; heuristic model; the equate-to-differentiate model; choice process; reaction time
实验从齐当别模型的视角,通过对决策过程反应时的考察分别对以累积预期理论(cumulative prospect theory)为代表的整合模型和启发式模型家族的重要成员--占优启发式模型(priority heuristic)--进行检验。结果表明,决策过程反应时并未随着占优启发式模型所假定的决策步骤的增加而变慢;也未随着选项之间整体值差值的变大而变快;模糊决策过程的反应时反而快于风险决策过程的反应时。无论是以累积预期理论为代表的整合模型还是占优启发式模型均不能满意地描述和解释人们的实际决策过程,而齐当别模型则能解释大部分实验结果。文章建议多角度、多指标探讨人们的决策过程,检验、修改、完善,以及建立新的启发式模型或决策过程模型(process model),以增进对人们如何进行风险决策的理解。
實驗從齊噹彆模型的視角,通過對決策過程反應時的攷察分彆對以纍積預期理論(cumulative prospect theory)為代錶的整閤模型和啟髮式模型傢族的重要成員--佔優啟髮式模型(priority heuristic)--進行檢驗。結果錶明,決策過程反應時併未隨著佔優啟髮式模型所假定的決策步驟的增加而變慢;也未隨著選項之間整體值差值的變大而變快;模糊決策過程的反應時反而快于風險決策過程的反應時。無論是以纍積預期理論為代錶的整閤模型還是佔優啟髮式模型均不能滿意地描述和解釋人們的實際決策過程,而齊噹彆模型則能解釋大部分實驗結果。文章建議多角度、多指標探討人們的決策過程,檢驗、脩改、完善,以及建立新的啟髮式模型或決策過程模型(process model),以增進對人們如何進行風險決策的理解。
실험종제당별모형적시각,통과대결책과정반응시적고찰분별대이루적예기이론(cumulative prospect theory)위대표적정합모형화계발식모형가족적중요성원--점우계발식모형(priority heuristic)--진행검험。결과표명,결책과정반응시병미수착점우계발식모형소가정적결책보취적증가이변만;야미수착선항지간정체치차치적변대이변쾌;모호결책과정적반응시반이쾌우풍험결책과정적반응시。무론시이루적예기이론위대표적정합모형환시점우계발식모형균불능만의지묘술화해석인문적실제결책과정,이제당별모형칙능해석대부분실험결과。문장건의다각도、다지표탐토인문적결책과정,검험、수개、완선,이급건립신적계발식모형혹결책과정모형(process model),이증진대인문여하진행풍험결책적리해。
Theories intended to describe decision making under risk and uncertainty can be classified as two families according to their theoretical basis:the integrative model and heuristic model.The integrative model postulates that the decision maker is both willing and able to combine information from different dimensions through two fundamental processes:weighting and summing.The heuristic model assumes that people do not integrate these kinds of information but rely on a repertoire of simple decision strategies—called heuristics—to make inferences,choices,estimations,and other decisions.A total of four experiments were conducted to compare these two sets of competing models from the view of the equate-to-differentiate model(Li,1994,2004a,2004b) by using a response time approach.Experiment 1 re-examined the priority heuristic by using the decision questions employed by Brandstatter,Gigerenzer and Hertwig(2006),but failed to duplicate their results.The priority heuristic predicted that the increase of reasons(steps) required would be associated with the increase of time for making a choice.Experiment 2 tested the priority heuristic by manipulating the number of reasons(steps) assumed by the priority heuristic and the difference between two options on the best-outcome/worst-outcome dimension assumed by the equate-to-differentiate model.It was revealed that the decision time did not increase with the increasing number of reasons(steps) assumed by the priority heuristic but decreased with the increased difference between two options on the best-outcome/worst-outcome dimension.These results obtained in Experiments 1 and 2 were not friendly to the priority heuristic model.Experiments 3 and 4 were designed to test the integrative model.Experiment 3 tested the integrative model by comparing the decision time under risk and under ambiguity.Interestingly,the average decision time under risk was much longer than that under ambiguity.This was contrary to the implications of the integrative model because integrating an ambiguous probability with a given outcome will take longer time than integrating an exact probability with a given outcome to give an overall value or utility.Experiment 4 tested the integrative model by manipulating the difference between CPT(Cumulative Prospect Theory) values and the difference between two options on the best-outcome/worst-outcome dimension.The results showed that the decision time did not decrease with the increased difference between the CPT values but decreased with the increased difference between two options on the best-outcome/worst-outcome dimension,which were not consistent with integrative model but consistent with the equate-to-differentiate model.In sum,neither integrative model nor priority heuristic could help account for the data on choice process that we observed.Future work may focus on testing these two sets of models by employing methods which can provide a much richer description of the decision process than the response time approach employed in the present paper.