Studies of past emergency events indicate that evacuating occupants often exhibit social behaviors that affect the evacuation process. This paper describes a multiagent-based simulation framework that enables the modeling of social behaviors during evacuation. Each agent is modeled using a three-level representation that allows users to incorporate individual, group, and crowd behavioral rules ...

The spread of rumors, which are known as unverified statements of uncertain origin, may threaten the society and it's controlling, is important for national security councils of countries. If it would be possible to identify factors affecting spreading a rumor (such as agents’ desires, trust network, etc.) then, this could be used to slow down or stop its spreading. Therefore, a computational m...

From the very beginning of the multiagent-systems paradigm, the sources of analogies between agent-based technologies and models of actual social systems fomented interdisciplinary efforts between computer and social scientists. Nowadays this trend reflects an intense interface of research across the computer and social sciences, under the umbrella of a consolidated scientific field, which is c...

1.1 There are a variety of different requirements and qualifications of users applying simulation as a research method in the social sciences. Experience gained with users of the simulation system MIMOSE (Möhring 1996) and discussions in interdisciplinary workshops (Gilbert 1996 and Gilbert et al. 1997) suggest that developing a unified modelling and simulation language for the social sciences ...

Cognitive social simulation is a computer simulation technique that aims to improve our understanding of the dynamics of socially-situated and socially-distributed cognition. Cognitive architectures are typically used to support cognitive social simulation; however, the most widely used cognitive architecture – ACT-R – has, to date, been the focus of relatively few cognitive social simulation s...

A comprehensive conceptualization tool for agent-based social simulation would increase the acceptance of this approach among the social scientists similar to the exiting simulation approaches such as system dynamic and discrete event modelling. In this research we explore this proposition to provide an opportunity for the social scientist to access the vast body of research in multi-agent syst...

The classical theory of computation does not represent an adequate model of reality for simulation in the social sciences. The aim of this paper is to construct a methodological perspective that is able to conciliate the formal and empirical logic of program verification in computer science, with the interpretative and multiparadigmatic logic of the social sciences. We attempt to evaluate wheth...

Religion is, at the very least, a highly complex social phenomenon. The theories we use to understand religion – and the social sciences more generally – are often so complex that even experts in the field may not be able to see all their consequences. Social simulations can help us understand and communicate the consequences of a theory, provided we can describe the theory sufficiently precise...

Advancing the state of the art of simulation in the social sciences requires appreciating the unique value of simulation as a third way of doing science, in contrast to both induction and deduction. Simulation can be an effective tool for discovering surprising consequences of simple assumptions. This essay offers advice for doing simulation research, focusing on the programming of a simulation...