Sociologists have long believed that psychology alone can't explain what happens when
people work together in complex modern societies. In contrast, most psychologists and …

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 …

In this paper we introduce the so-called Beliefs-Obligations-Intentions-Desires or BOID
architecture. It contains feedback loops to consider all effects of actions before committing to …

Modelling and simulation have long been dominated by equation-based approaches, until
the recent advent of agent-based approaches. To curb the resulting complexity of models …

Since the first edition was published two years ago, much has been done on extend ing the
work done on SMART to address new and important areas [3-5, 54, 79, 80, 108 …

In this paper, we consider the design of normative multiagent systems composed of both
constitutive and regulative norms. We analyze the properties of constitutive norms, in …

This article introduces a general sociological readership to multiagent systems (MAS), a new
computer simulation technology that has increasingly been used to describe and explain …

In this paper we consider goal generation in cognitive agent architectures. We show how
goal generation can be described in terms of interaction between mental attitudes biased by …

The authors discuss applications of BTDH (bottom-up top-down duplication heuristic) to list
scheduling algorithms (LSAs). There are two ways to use BTDH for LSAs. BTDH can be …

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 …