Public policy and the wisdom of crowds. (June 2017)
- Record Type:
- Journal Article
- Title:
- Public policy and the wisdom of crowds. (June 2017)
- Main Title:
- Public policy and the wisdom of crowds
- Authors:
- Epp, Derek A.
- Abstract:
- Abstract: Collective intelligence, or the wisdom of crowds, refers to a phenomenon by which, under the right conditions, groups of individuals can render highly accurate judgments. This phenomenon has long played an important role in economics, where understanding the behavior of groups is often essential to explaining economic outcomes. More recently, political scientists have shown that trends in public opinion show evidence of collective intelligence. This article further explores how the wisdom of crowds affects politics. I look at two types of decision-making processes, those governed by group dynamics versus those rendered by organizations. Distributional analysis of financial markets and foreign exchange rates shows that when policies are determined by groups they are less prone to instabilities, evidence that in certain issue areas decision-making by groups is more readily adaptive to shifting environmental cues than decisions made through organizational deliberation.
- Is Part Of:
- Cognitive systems research. Volume 43(2017)
- Journal:
- Cognitive systems research
- Issue:
- Volume 43(2017)
- Issue Display:
- Volume 43, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 43
- Issue:
- 2017
- Issue Sort Value:
- 2017-0043-2017-0000
- Page Start:
- 53
- Page End:
- 61
- Publication Date:
- 2017-06
- Subjects:
- Cognition -- Periodicals
Cognitive engineering (System design) -- Periodicals
Artificial intelligence -- Periodicals
153.05 - Journal URLs:
- https://www.sciencedirect.com/journal/cognitive-systems-research ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.cogsys.2017.01.002 ↗
- Languages:
- English
- ISSNs:
- 1389-0417
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3292.893000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17689.xml