Agents with Moral Sentiments in an Iterated Prisoner's Dilemma Exercise

Evolution of Agents with Moral Sentiments in an Iterated Prisoner's Dilemma Exercise

Evolving Agents with Moral Sentiments in an Iterated Prisoner’s Dilemma Exercise

We have been experimenting on simulations of a society of agents where some of them have “moral sentiments” towards the agents that belong to the same social group, using the Iterated Prisoner’s Dilemma as a metaphor for the social interactions. We were able to observe the well-understood phenomenon of short-sighted, self-interested agents performing well in the short-term but ruining their cha...

Moral Sentiments in Multi-Agent Systems

We present a simulation of a society of agents where some of them have \moral sentiments" towards the agents that belong to the same social group, using the Iterated Prisoner's Dilemma as a metaphor for the social interactions. Besides the well-understood phenomenon of shortsighted , self-interested agents performing well in the short-term but ruining their chances of such performance in the lo...

Trust in an N-Player Iterated Prisoner's Dilemma

The iterated Prisoner's Dilemma (iPD) is a standard problem for the evolution of cooperation. Published work so far dealt mainly with the 2-player case, which is neither very realistic nor very relevant for applications , as societies, in a general sense, usually are made of more than two agents. We present novel results where cooperation co-evolves with trust in an N-player iPD. In doing so, t...

Socio-Affective Agents as Models of Human Behaviour in the Networked Prisoner's Dilemma

Affect Control Theory (ACT) is a powerful and general sociological model of human affective interaction. ACT provides an empirically derived mathematical model of culturally shared sentiments as heuristic guides for human decision making. BayesACT, a variant on classical ACT, combines affective reasoning with cognitive (denotative or logical) reasoning as is traditionally found in AI. BayesACT ...