An experimental study of cognitive processes and information in political problem solving

满意选择 渐进主义 编码(社会科学) 认知 政治 计算机科学 心理学 认知心理学 社会心理学 数据科学 管理科学 社会学 人工智能 经济 政治学 社会科学 神经科学 法学
作者
Helen E. Purkitt,James W. Dyson
出处
期刊:Acta Psychologica [Elsevier BV]
卷期号:68 (1-3): 329-342 被引量:6
标识
DOI:10.1016/0001-6918(88)90064-9
摘要

In this article we report the results of a small group experiment which focused on the cognitive basis of small group decision-making. The data were collected by observing and video taping three person interactions revolving around the issue of how to deal with a large budget deficit of a mythical government. To study this topic we employed an information processing perspective in conjunction with three common descriptive frameworks of political decision-making: satisficing, muddling through and incrementalism. Since it is generally known that humans are limited information processors and these descriptive political decision-making frameworks generally assume that choosers will behave as limited information processors we wanted to determine the degree to which choosers were concerned with incoming information and how they blended this information with their prior beliefs and knowledge. A thematic coding scheme and Bales' interaction analysis were used in the coding of the interactions contained on the video tapes. The results supported the idea of humans as limited information processors. But the data also indicate that satisficing is a metaheuristic which leads choosers to ignore highly relevant information in favor of evoking latent preferences. Thus metaheuristics of this type seem to lack decision aids which would allow political decision makers to manage vast amounts of pertinent information.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
阿达发布了新的文献求助10
1秒前
2秒前
科研通AI5应助znn123采纳,获得10
3秒前
12完成签到,获得积分20
5秒前
5秒前
领导范儿应助阿冷采纳,获得10
5秒前
隐形曼青应助科研小辣鸡采纳,获得10
5秒前
海豚发布了新的文献求助10
6秒前
honeylaker完成签到,获得积分10
7秒前
10秒前
wzzhhh发布了新的文献求助10
10秒前
NexusExplorer应助江峰采纳,获得10
11秒前
是风动完成签到 ,获得积分10
11秒前
彭于晏应助wzzhhh采纳,获得10
13秒前
yzw完成签到,获得积分10
14秒前
木木一心完成签到,获得积分10
14秒前
小辣椒发布了新的文献求助10
15秒前
传奇3应助鳗鱼饭采纳,获得10
15秒前
遇上就这样吧应助TianYue778采纳,获得60
15秒前
ArronZ完成签到,获得积分10
19秒前
20秒前
传奇3应助江峰采纳,获得10
24秒前
我给植物浇生理盐水完成签到,获得积分20
24秒前
25秒前
共享精神应助失眠的雅琴采纳,获得10
25秒前
aero完成签到 ,获得积分10
28秒前
31秒前
幸运星完成签到,获得积分10
32秒前
33秒前
开心夜云完成签到,获得积分10
34秒前
35秒前
周星星发布了新的文献求助10
36秒前
37秒前
39秒前
烟波钓客完成签到,获得积分10
39秒前
39秒前
稳重发布了新的文献求助10
40秒前
cwj完成签到,获得积分10
40秒前
seannnnnnn完成签到 ,获得积分10
41秒前
dang完成签到,获得积分10
41秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
Machine Learning Methods in Geoscience 1000
Resilience of a Nation: A History of the Military in Rwanda 888
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3738850
求助须知:如何正确求助?哪些是违规求助? 3282273
关于积分的说明 10028265
捐赠科研通 2998982
什么是DOI,文献DOI怎么找? 1645682
邀请新用户注册赠送积分活动 782882
科研通“疑难数据库(出版商)”最低求助积分说明 750067