Examination of foundational AGI-agents in Artificial-Life simulations

The examination of AGI agents is an interdisciplinary challenge. This is particularly the case for their foundations, assumedly (in compliance with Damasio) drives and emotions. We demonstrate how these foundations of a human-like control system are tested using simplified exemplary cases as test-specifications. After showing how we model the required functions of the agent's decision unit, we provide details of the incremental steps of our examination. As a first step, we use calibration-specifications, which we concretize with the help of psychoanalysts and neuroscientists and show how a flexible parameterization of the model generates expected behavior. This step enables a deeper model analysis in the second step of our examination, which corresponds to model exploration and provides further information for adaptions of the parameters, model, or assumptions. Overall, this examination methodology allows for a stepwise model development and examination and provides the ground for comparing the simulation data with empirical data, which we plan as a next step.