Policy and Complex Systems
Dominance increases , the rate of killing of the Out-Group ( as measured by its Death Rate ) increases , decreasing the total Out- Group population , increasing the In-Group Population Percentage , and thus further increasing the Dominance of the In-Group . To study the dynamics more thoroughly , In- Group Compliance and In-Group Control of Government and / or Military are included as factors of escalation that increase In-Group Dominance .
The next step in this process is to implement a working model in Vensim PLE that includes the appropriate stocks ( In-Group and Out-Group Populations , and In-Group Dominance ), and flows into and out of those stocks . These flows include normal birth and death rates , increasing Out-Group Death Rate due to In-Group Dominance , and increase or decrease of In- Group Dominance due to the effects of In-
Group Population Percentage , Compliance , and Control of the Government and / or Military . Each effect on Dominance requires a function that determines how strongly it influences the Out-Group Death Rate . Scenario analysis is necessary in order to derive realistic functions , baseline conditions , and other relevant rates of change .
Additionally , it is possible to model both In-Group and Out-Group Dominance as separate stocks with their own unique sets of exogenous effects . This would lead to a model that simulates a more complex system and might display oscillations in genocide over time as one group loses its dominance to the other . A validated model of this nature would allow exploration into the macro-level dynamics that lead to future retaliation of former Out-Groups and potential sources of restraint .
Figure 8 . Diagram of population and dominance dynamics of genocide .
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