Existence of biological uncertainty principle implies that we can never find 'THE' measure for biological complexity - Quantitative Biology > Other Quantitative BiologyReport as inadecuate




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Abstract: There are innumerable -biological complexity measure-s. While some patternsemerge from these attempts to represent biological complexity, a single measureto encompass the seemingly countless features of biological systems, stilleludes the students of Biology. It is the pursuit of this paper to discuss thefeasibility of finding one complete and objective measure for biologicalcomplexity. A theoretical construct the -Thread-Mesh model- is proposed hereto describe biological reality. It segments the entire biological space-time ina series of different biological organizations before modeling the propertyspace of each of these organizations with computational and topologicalconstructs. Acknowledging emergence as a key biological property, it has beenproved here that the quest for an objective and all-encompassing biologicalcomplexity measure would necessarily end up in failure. Since any study ofbiological complexity is rooted in the knowledge of biological reality, anexpression for possible limit of human knowledge about ontological biologicalreality, in the form of an uncertainty principle, is proposed here. Twotheorems are proposed to model the fundamental limitation, owing to observerdependent nature of description of biological reality. They explain the reasonsbehind failures to construct a single and complete biological complexitymeasure. This model finds support in various experimental results and thereforeprovides a reliable and general way to study biological complexity andbiological reality.



Author: Anirban Banerji

Source: https://arxiv.org/







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