We describe a computational model of social norms based on identifying values that a certain culture finds desirable such as dignity, generosity and politeness. The model quantifies these values in the form of Culture-Sanctioned Social Metrics (CSSMs) and treats social norms as the requirement to maximize these metrics from the perspective of the self, peers and public. This model can be used to create realistic social simulations, to explain or predict human behavior in specific scenarios, or as a component of robots or agents that need to interact with humans in specific social-cultural settings. We validate the model by using it to represent a complex deception scenario and showing that it can yield non-trivial insights such as the explanation of apparently irrational human behavior.
Abstract This paper contributes an analysis and formalisation of Damasio’s theory on core consciousness. Three important concepts in this theory are ‘emotion’, ‘feeling’ and ‘feeling a feeling’ (or core consciousness). In particular, a simulation model is described of the dynamics of basic mechanisms leading via emotion and feeling to core consciousness, and dynamic properties are formally specified that hold for these dynamics at a more global level. These properties have been automatically checked for the simulation model. Moreover, a formal analysis is made of relevant notions of representation used by Damasio. As part of this analysis, specifications of representation relations have been verified and confirmed against the simulation model. One of the world's leading experts on the neurophysiology of emotions, Professor Damasio shows how our consciousness, our sense of being, arose out of development of emotion. At its core, human consciousness is consciousness of the feeling, experiencing self, the 'very thought of' oneself. Brilliantly wide-ranging in his scope, Damasio illustrates his thesis with fascinating and illuminating neurological case studies that are both stimulating and provocative.