Cancer and Chaos and the Complex Network Model of a Multicellular Organism

Abstract

In the search of theoretical models describing cancer, one of promising directions is chaos. It is connected to ideas of “genome chaos” and “life on the edge of chaos”, but they profoundly differ in the meaning of the term “chaos”. To build any coherent models, notions used by both ideas should be firstly brought closer. The hypothesis “life on the edge of chaos” using deterministic chaos has been radically deepened developed in recent years by the discovery of half-chaos. This new view requires a deeper interpretation within the range of the cell and the organism. It has impacts on understanding “chaos” in the term of “genome chaos”. This study intends to present such an interpretation on the basis of which such searches will be easier and closer to intuition. We interpret genome chaos as deterministic chaos in a large module of half-chaotic network modeling the cell. We observed such chaotic modules in simulations of evolution controlled by weaker variant of natural selection. We also discuss differences between free and somatic cells in modeling their disturbance using half-chaotic networks.

Chaotic fractals: Why chaos is the dynamic of carcinogenesis

“…Also, putting cells into an “inappropriate” microenvironmental context can otherwise trigger pathological issues, and even neoplastic transformation [ 5 ]. Cancer has previously been demonstrated to be a chaotic behavior of the stem cell [ 6 ].…”

Synchronization of Boolean networks with chaos‐driving and its application in image cryptosystem

“…In order to protect the privacy and ensure the security of image transmission, the synchronization results are utilized in the image cryptosystem to achieve compression and encryption. In the last few years, because of multiple complexities like initial value sensitivity, pseudo‐randomness and ergodicity [1–3], chaos has been a hot research field and has been applied in many aspects [4–6]. Especially, chaos signal can be utilized to mask the image information and is hard to identify in transmission, so it is widely applied in image encryption and transmission [7–9].…”

“…In the last few years, because of multiple complexities like initial value sensitivity, pseudo-randomness and ergodicity [1][2][3], chaos has been a hot research field and has been applied in many aspects [4][5][6]. Especially, chaos signal can be utilized to mask the image information and is hard to identify in transmission, so it is widely applied in image encryption and transmission [7][8][9].…”

God doesn't play poker

“…Learning does not interfere with existing memory, allowing newly generated solutions to seamlessly integrate with prior information. The system's capability to store alternative actions in memory enables rapid behavioural changes in situations where the emergence of any one of multiple possible responses is uncertain (Gecow et al., 2022; Komarov et al., 2010). Healthy adaptability, autonomy and openness to new experiences can be demonstrated by chaotic systems.…”