| Title |
An Evolutionary Model of Bounded Rationality and Intelligence
|
|---|---|
| Published in |
PLOS ONE, November 2012
|
| DOI | 10.1371/journal.pone.0050310 |
| Pubmed ID | |
| Authors |
Thomas J. Brennan, Andrew W. Lo |
| Abstract |
Most economic theories are based on the premise that individuals maximize their own self-interest and correctly incorporate the structure of their environment into all decisions, thanks to human intelligence. The influence of this paradigm goes far beyond academia-it underlies current macroeconomic and monetary policies, and is also an integral part of existing financial regulations. However, there is mounting empirical and experimental evidence, including the recent financial crisis, suggesting that humans do not always behave rationally, but often make seemingly random and suboptimal decisions. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 43% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 3% |
| Brazil | 2 | 2% |
| Turkey | 1 | 1% |
| South Africa | 1 | 1% |
| Netherlands | 1 | 1% |
| China | 1 | 1% |
| Luxembourg | 1 | 1% |
| Unknown | 86 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 23% |
| Student > Master | 16 | 17% |
| Researcher | 13 | 14% |
| Student > Bachelor | 11 | 11% |
| Professor | 5 | 5% |
| Other | 17 | 18% |
| Unknown | 12 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 19 | 20% |
| Psychology | 12 | 13% |
| Business, Management and Accounting | 11 | 11% |
| Social Sciences | 8 | 8% |
| Computer Science | 5 | 5% |
| Other | 25 | 26% |
| Unknown | 16 | 17% |