The maximal coordination principle in regulatory Boolean networks

被引：0

作者：

Poindron, Alexis ^{[1
]}

机构：

[1] Inst Polytech Paris, ENSTA Paris, Unite Econ Appl, Palaiseau, France

来源：

JOURNAL OF COMPUTER AND SYSTEM SCIENCES | 2024年 / 142卷

关键词：

Boolean networks; Coordination; Inference; Influence processes; Opinion dynamics; FIXED-POINTS; MODEL; STABILITY; CIRCUITS; GRAPHS; NUMBER;

D O I：

10.1016/j.jcss.2024.103518

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

We introduce a coordination index in regulatory Boolean networks and we expose the maximal coordination principle (MCP), according to which a cohesive society reaches the dynamics characterized by the highest coordination index. Based on simple theoretical examples, we show that the MCP can be used to infer the influence graph from opinion dynamics/gene expressions. We provide some algorithms to apply the MCP and we compare the coordination index with existing statistical indexes (likelihood, entropy). The advantage of the coordination approach is its simplicity; in particular, we do not need to impose restrictions on the aggregation functions. (c) 2024 Elsevier Inc. All rights reserved.

引用

页数：27

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