Comparing Mathematical and Algorithmic Modeling in Biology
Abstract
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., Darwin's ORIGIN OF THE SPECIES and Lorenz's paper, Fashionable Fallacy of Dispensing with Description ).
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 1992
- Accession Number
- ADP007153
Entities
People
- Danielle Mihram
- G. A. Mihram
Organizations
- University of Southern California