The paper uses several examples to illustrate a distinctive difference between alternative models of biological systems those of the mathematical vs. those of the algorithmic format. Primary among these comparisons are the models of researchers dealing with neural networks versus those of artificial intelligence All researchers who predicate their work on the cognitive sciences. We show how the literature of biology itself reveals why one approach to the modelling of biological systems is more likely to succeed than the other. We compare historically the acclaimed successes of non-mathematical biologists e.g., Darwins ORIGIN OF THE SPECIES and Lorenzs paper, Fashionable Fallacy of Dispensing with Description .
This article is from 'Computing Science and Statistics: Proceedings of the Symposium on the Interface Critical Applications of Scientific Computing: Biology, Engineering, Medicine, Speech Held in Seattle, Washington on 21-24 April 1991,' AD-A252 938, p289-292.