Norms and normative multiagent systems have become the subjects of interest for many
researchers. Such interest is caused by the need for agents to exploit the norms in …

When designing an agent-based simulation, an important question to answer is how to
model the decision making processes of the agents in the system. A large number of agent …

Norms in human societies are expectations of behaviours of the individuals. In human
societies, there are several types of norms such as moral norms, social norms and legal …

Drawing on contemporary work that traces cognition to embodiment, we present a model of
cognition in organisations. In so doing, we add a middle ground to previous models: far from …

Evidence-driven agent-based modeling plays a useful part in understanding social
phenomena. By integrating social-cognitive theories in our agent models, we bear evidence …

Artificial Society is an analytical foundation of various complex eco-and social systems. Such
system is usually implemented via multiagent approach. However, there is no consensus on …

Most works on norms have investigated how norms are regulated using institutional
mechanisms. Very few works have focused on how an agent may infer the norms of a …

In this chapter we provide an introductory presentation of normative multi-agent systems
(nMAS). The key idea of the chapter is that any definition of nMAS should preliminarily clarify …

In normative multi-agent systems, the question of “how an agent identifies norms in an open
agent society” has not received much attention. This paper aims at addressing this question …

To date, most studies on the robustness of operating system software have focused on Unix
based systems. The paper develops a methodology and architecture for performing …