Towards a Unified Model of Sociality in Multiagent Systems

This paper presents communication systems (CS) as the first available unified model of socially intelligent systems. It combines the empirical analysis of communication in a social system with logical processing of social information to provide a general framework for computational com-ponents that exploit communication processes in multia-gent systems. The two main contributions offered by this paper are as follows: First, a formal model of CS that is based on an improved version of expectation networks and their processing is presented. This formal model is based on a novel approach to the semantics of agent com-munication languages which contrasts with traditional ap-proaches. Second, a number of CS-based applications are described which illustrate the enormous potential and im-pact of a CS-based perspective of socially intelligent sys-tems