A computational model for simulation of moral behavior

Abstract

The extension of our integration to technologies brings about the possibility of inserting moral prototypes into artificial agents, no matter if they are going to interact with other artificial agents or biological creatures. We describe here MultiA, a computational model for simulating moral behavior derived from changes over a biologically inspired architecture. MultiA uses reinforcement learning techniques and is intended to produce selective cooperative behavior as a consequence of a biologically plausible model of morality inspired from a perusal of empathy. MultiA has its sensorial information translated into emotions and homeostatic variable values, which feed cognitive and learning systems. The moral behavior is expected to emerge from the artificial social emotion of sympathy and its associated feeling of empathy, based on an ability to internally emulate other agents internal states.