Correlated Interaction and Group Selection
Bibliographic Data
| ID | 8398307 |
|---|---|
| Authors | Bruce Glymour (Kansas State University, corresponding author) |
| Year | 2008 |
| Volume | 59 |
| Issue | 4 |
| Pages | 835-855 |
| Publication date | 2008-12-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | The British Journal for the Philosophy of Science (JOURNAL) |
| Journal identifiers | ISSN: 0007-0882 • E-ISSN: 1464-3537 |
| Publisher | Oxford University Press (PUBLISHER • GB) |
| DOI | 10.1093/bjps/axn033 |
| OpenAlex | W2069788760 |
| Language | EN |
| Citations received | 3 |
| References cited | 8 |
Okasha ([2005]) argues that correlated interactions are necessary for group selection. His argument turns on a particular procedure for measuring the strength of selection, and employs a restricted conception of correlated interaction. It is here shown that the procedure in question is unreliable, and that while related procedures are reliable in special contexts, they do not require correlated interactions for group selection to occur. It is also shown that none of these procedures, all of which employ partial regression methods, are reliable when correlated interactions of a specific kind arise, and it is argued that such correlated interactions will likely be ubiquitous in natural populations.1. Introduction2. Process and Product3. Fitness, Mean Fitness, and Phenotypic Change4. Correlated Interactions5. Causation6. Implications
Argument (complex analysis) · Biology · Evolutionary biology · Group (periodic table) · Group selection · Natural selection · Physics · Selection (genetic algorithm) · Animal Behavior and Reproduction · Artificial Intelligence · Computer Science · Evolution and Genetic Dynamics · Plant and animal studies · Psychology
| Unique citing works | 3 |
|---|---|
| Citations per year | 0,25 |
| Citation span | 2014 - 2021 (8) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 3 |