Complex Evolutionary Systems and the Red Queen
Bibliographic Data
| ID | 9708423 |
|---|---|
| Authors | Arthur J Robson (Simon Fraser University, corresponding author) |
| Year | 2005 |
| Volume | 115 |
| Issue | 504 |
| Pages | F211-F224 |
| Publication date | 2005-06-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | The Economic Journal (JOURNAL) |
| Journal identifiers | ISSN: 0013-0133 • E-ISSN: 1468-0297 |
| Publisher | Oxford University Press (OUP) (PUBLISHER) |
| DOI | 10.1111/j.1468-0297.2005.01002.x |
| OpenAlex | W2134158079 |
| Language | EN |
| Citations received | 3 |
| References cited | 15 |
Some of the most obvious complex adaptive systems are biological. A key concern in biology is how the overall properties of systems relate to the behaviour of their components. Competition between these components in the form of an arms race, the 'Red Queen effect', helps explain the trend towards more complex organisms. This effect helps explain why these biological systems became and remained complex. It may well also have driven the most distinctive and economically relevant of human biological characteristics - high intelligence. Analogously, competition in the form of the Red Queen effect is a promising avenue of research within economics. Copyright 2005 Royal Economic Society
Arms race · Biology · Competition (biology · Complex adaptive system · Complex system · Economics · Key (lock · Queen (butterfly · Artificial Intelligence · Complex Systems and Time Series Analysis · Computer Science · Ecology · Evolutionary Game Theory and Cooperation · Game Theory and Applications
| Unique citing works | 3 |
|---|---|
| Citations per year | 0,2 |
| Citation span | 2011 - 2025 (15) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 3 |