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@hash/altruism
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Altruism

This model simulates two types of agents (altruistic agents and selfish agents) competing for each spot in the environment by entering a genetic lottery.

This model simulates two types of agents (altruistic agents and selfish agents) competing for each spot in the environment by entering a genetic lottery.

The winner of the lottery is determined by selecting a random number between 0 and 1 and comparing that value to the fitness weights.

Harshness sets the value for the resistance of an empty spot to being populated by an agent.

Disease sets the value for an agent’s chance of dying at an occupied spot. `;