Incentive Mechanism Design for Distributed Autonomous Organizations Based on the Mutual Insurance Scenario

Table 2

Parameter definitions and values.

Parameter		Definition	Values
Change parameters		Average trust among pool members
		The intensity of interpool events
		Pool exit intervention parameter
		Pool split correlation coefficient
		Interpool member turnover rate
Parameter combination			576
Fixed parameters		Pool splitting rate regulation coefficient	0.00025
		Choose the benefits of an honest strategy	0.4
		Cost of choosing an honest strategy	0.1
		Member exit rate parameter	0.0005
		Adjusting the coefficient of correlation between the growth rate and strategic returns	0.025
		Pool selective	0.025
		Number of initial risk pools	500
		Composition of the initial risk pool member	(2) 13
		Variance in the distribution of initial risk pool member	5
		Number of iterations (working days)	8000

Note: the numerical simulation can take a greater number of iterations. However, the number of iterations’ T value is high: the variable parameter combination cases. Hence, the overall amount of calculation will exponentially and significantly weaken the feasibility of the numerical simulation and the calculation accuracy (under the premise of giving attention to two or more things). It can also include members’ entire careers and must cover most of the small- and medium-sized enterprises’ lifecycle. . In each iteration, we focused on selecting five critical indicators of the overall risk pool to store the number of iterations, the number of members who adopted the honest (cooperation) strategy, the number of members who adopted the deceit (betrayal) strategy, the degree of trust among the members of the overall risk pool, and the number of risk pools . Total computational storage of data: groups.