Different models are implemented in this simulator. A new full example has been added in this new release v0.5.0 which demonstrate the use of two of them: the beliefs and influence model.
They might influence other agents or be influenced by them.
This model define how an agent will reinforce its belief or change its belief from influencer. Agents can accumulate beliefs during the simulation.
Influence model is associated with the risk aversion that prevent an agent from acting on a particular belief. Agents are task-based. In that case, the task is blocked.
You can use this example to discover and understand the impact of all the setups on the agents. That will help you setup you own beliefs model.
Scenario of the simulation
- Workers performing tasks according to their beliefs, asking advice from influencers if necessary (risk aversion)
- Influencers with string beliefs trying to influence workers
Beliefs and influence model have an impact on different parameters that you can follow in the simulation results:
- perform tasks
- modify the sphere of interaction
- agents beliefs