Sign activity of mammals as means of ecological adaptation
Bibliographic Data
| ID | 12637140 |
|---|---|
| Authors | E J Vladimirova (corresponding author), Elina Vladimirova |
| Year | 2009 |
| Volume | 37 |
| Issue | 3/4 |
| Pages | 614-638 |
| Publication date | 2009-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sign Systems Studies (JOURNAL) |
| Journal identifiers | ISSN: 1406-4243 • E-ISSN: 1736-7409 |
| Publisher | University of Tartu (PUBLISHER • EE) |
| DOI | 10.12697/sss.2009.37.3-4.12 |
| OpenAlex | W2471402651 |
| Language | EN |
| Citations received | 2 |
| References cited | 3 |
The present article discusses different basic semiotic-scientific postulates regarding mammals’ sign activity. On the one hand, there are arguments denying animals sign activity, according to which mammals are not capable of semantic generalization on the basis of conventional linguistic values. According to another approach, mammals’ sign activity can be considered as means of ecological adaptation, that is, the features of animal behaviour based on the information, received by them through their habitat characteristics without direct visual contacts with their kind. Movement elements, behavioural reactions of similar motivation and parameters of the sign field, which represents an animal’s sign-information environment, may have some numerical expression and can be calculated depending on the research tasks. Formalization of the animal activity implies simultaneous consideration of the following parameters: magnitude, intensity, anisotropy and the value of a given sign object
Adaptation (eye · Biology · Cognitive psychology · Contrast (vision · Epistemology · Expression (computer science · Generalization · Object (grammar · Semiotics · Sign (mathematics · Value (mathematics · Computer Science · Diverse Scientific Research in Ukraine · Language, Communication, and Linguistic Studies · Mathematics · Neuroscience · Philosophy · Psychology · Artificial Intelligence · Ecology
| Citations per year | 0.4 |
|---|---|
| Citation span | 2021 - 2022 (2) |
| Highly cited | No |