Generative and recognoscitive grammars of ecological models
All models have in common that they encode experience and always involve signs, signals, syntax, semantics and an ability to decode and derive meaning from what is encoded. Ecological models can be considered as complex structures and a new way of approaching to these models is through developing a...
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| Veröffentlicht in: | Ecological modelling 1999-05, Vol.117 (2), p.315-332 |
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| container_issue | 2 |
| container_start_page | 315 |
| container_title | Ecological modelling |
| container_volume | 117 |
| creator | Villacampa, Y. Usó-Domènech, J.L. Mateu, J. Vives, F. Sastre, P. |
| description | All models have in common that they encode experience and always involve signs, signals, syntax, semantics and an ability to decode and derive meaning from what is encoded. Ecological models can be considered as complex structures and a new way of approaching to these models is through developing a formal language. In this paper, the authors develop the syntax’s of a formal language of complex structures, called here L(M), based on general assumptions from the theory of linguistic mathematics. The syntax and semantics proposed are not a new methodology but a new linguistic interpretation of traditional methodologies. We develop this interpretation over a reproductive submodel of a more general one. |
| doi_str_mv | 10.1016/S0304-3800(99)00004-6 |
| format | Article |
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| ispartof | Ecological modelling, 1999-05, Vol.117 (2), p.315-332 |
| issn | 0304-3800 1872-7026 |
| language | eng |
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| source | Elsevier ScienceDirect Journals |
| subjects | Animal, plant and microbial ecology Biological and medical sciences Ecological models Flow equations Flow functions Fundamental and applied biological sciences. Psychology General aspects. Techniques Generative grammars Methods and techniques (sampling, tagging, trapping, modelling...) Recognoscitive grammars State equations Vocabulary |
| title | Generative and recognoscitive grammars of ecological models |
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