Title |
Cognitive Phenotypes and the Evolution of Animal Decisions
|
---|---|
Published in |
Trends in Ecology & Evolution, September 2016
|
DOI | 10.1016/j.tree.2016.08.008 |
Pubmed ID | |
Authors |
Tamra C. Mendelson, Courtney L. Fitzpatrick, Mark E. Hauber, Charles H. Pence, Rafael L. Rodríguez, Rebecca J. Safran, Caitlin A. Stern, Jeffrey R. Stevens |
Abstract |
Despite the clear fitness consequences of animal decisions, the science of animal decision making in evolutionary biology is underdeveloped compared with decision science in human psychology. Specifically, the field lacks a conceptual framework that defines and describes the relevant components of a decision, leading to imprecise language and concepts. The 'judgment and decision-making' (JDM) framework in human psychology is a powerful tool for framing and understanding human decisions, and we apply it here to components of animal decisions, which we refer to as 'cognitive phenotypes'. We distinguish multiple cognitive phenotypes in the context of a JDM framework and highlight empirical approaches to characterize them as evolvable traits. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 10 | 26% |
United Kingdom | 4 | 10% |
Canada | 2 | 5% |
Bolivia, Plurinational State of | 2 | 5% |
France | 1 | 3% |
Pakistan | 1 | 3% |
Australia | 1 | 3% |
Unknown | 18 | 46% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 18 | 46% |
Scientists | 15 | 38% |
Science communicators (journalists, bloggers, editors) | 4 | 10% |
Practitioners (doctors, other healthcare professionals) | 2 | 5% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 1% |
Portugal | 2 | 1% |
United Kingdom | 1 | <1% |
Germany | 1 | <1% |
Unknown | 191 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 49 | 25% |
Researcher | 35 | 18% |
Student > Master | 24 | 12% |
Student > Bachelor | 16 | 8% |
Student > Doctoral Student | 14 | 7% |
Other | 28 | 14% |
Unknown | 31 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 100 | 51% |
Environmental Science | 13 | 7% |
Psychology | 11 | 6% |
Neuroscience | 5 | 3% |
Biochemistry, Genetics and Molecular Biology | 4 | 2% |
Other | 19 | 10% |
Unknown | 45 | 23% |