Adjustment Versus Meaning? Towards A QuanticTheory Of Ecological Models

A classic way of modelling Complex Structural Systems (CSS), as the ecological ones, is based on the Dynamic of Systems. In previous studies, the authors have presented a methodology to construct flow equations from the experimental data through transformed functions of a variable, using a special software (REGRESSUS) based on sophisticated procedures of multiple regression. However, the obtaining of these equations of maximum adjustment, may cause problems with regard to the interpretation of the real phenomenon that it wants to describe. The authors put forward a proposal of uncertainty principle which enlarged the one of Co stanza, Sklar and Jorgensen resumed in "the modeller should choose between a good adjustment which implies the loss of real meaning of the equation and the real meaning that implies the loss of the good adjustment". In this paper, the authors introduce a Theory of Complex Structural Models (CSM) founded in Semantics that attempts to explain said Uncertainty Principle. This hypothesis is based on the following estimates: 1) Each transformed function is a "lexeme/sememe". 2) The flow equation is a "complex sentence". 3) This sentence can firstly be defined by a pair of numbers (r,ra)e$H,0bidimensional graphic is proposed in which r is the objective axis and the m is the subjective axis. 6) The Uncertainty Principle proposed has the mathematical expression Ar Am < 0. Transactions on Ecology and the Environment vol 16, © 1997 WIT Press, www.witpress.com, ISSN 1743-3541