Automata network theories in immunology: Their utility and their underdetermination
- 1 March 1989
- journal article
- research article
- Published by Springer Nature in Bulletin of Mathematical Biology
- Vol. 51 (2) , 247-253
- https://doi.org/10.1007/bf02458445
Abstract
Small networks of threshold automata are used to model complex interactions between populations of regulatory cells (helpers and suppressors, antigen specific and anti-idiotypic) which participate in the immune response. The models, being discrete and semiquantitative, are well adapted to the situation of incomplete information often encounteredin vivo. However, the dynamics of many different network structures usually end up in the same attractor set. Thus, many different theories are equivalent in their explicative power for the same facts. This property, known as underdetermination of the theories by the facts, is given a quantitative estimate. It appears that such an underdetermination, as a kind of irreductible complexity, can be expected in manyin vivo biological processes, even when the number of interacting and functionally coupled elements is relatively small.This publication has 5 references indexed in Scilit:
- Anti-Idiotypic Network Induced by T Cell Vaccination Against Experimental Autoimmune EncephalomyelitisScience, 1988
- Regulation of Autoimmune Disease Physiological and TherapeuticImmunological Reviews, 1986
- Towards a logical analysis of the immune responseJournal of Theoretical Biology, 1985
- Neurons with graded response have collective computational properties like those of two-state neurons.Proceedings of the National Academy of Sciences, 1984
- ‘Actively Acquired Tolerance’ of Foreign CellsNature, 1953