A Computational Model of Affective Moral Decision Making That Predicts Human Criminal Choices

A Conceptual and Computational Model of Moral Decision Making in Human and Artificial Agents

Recently, there has been a resurgence of interest in general, comprehensive models of human cognition. Such models aim to explain higher-order cognitive faculties, such as deliberation and planning. Given a computational representation, the validity of these models can be tested in computer simulations such as software agents or embodied robots. The push to implement computational models of thi...

Moral Coppélia: Affective moral reasoning with twofold autonomy and a touch of personality

We present a moral reasoner, Moral Coppélia that combines rational ethical theory with affective states and personality traits. We, moreover, treat human autonomy in the sense of self-determination as well as making a meaningful choice. Our system combines connectionist bottom-up with utilitarian top-down approaches. Moral Coppélia can reproduce the verdicts of medical ethicists and health judg...

Agents with a Moral Dimension (Doctoral Consortium)

As argued by [9], moral decision making entails considering alternatives and assessing the pros and cons of their possible consequences for self and others. From the area of affective neuroscience the concept of moral emotions has been introduced [9] and neurobiological findings [7] show that moral emotions are used to judge the adequacy of actions and are central to moral behavior, decision ma...

Running head: A Conceptual and Computational Model of Moral Decision Making in Human and Artificial Agents A Conceptual and Computational Model of Moral Decision Making in Human and Artificial Agents

Computational modeling of moral decisions

The cognitive processes that give rise to moral decisions have long been the focus of intense study. Here I illustrate how computational approaches to studying moral decisionmaking can advance this endeavor. Computational methods have traditionally been employed in the domains of perceptual and reward-based learning and decision-making, but until recently had not been applied to the study of mo...