versus Descriptive. Models can vary in the degree to which they attempt to incorporate the detail of particular targets. An example of a model which aims to be a detailed representation of a specific location and the developments there is the work by Dean et al. (1999) on the Long House Valley, in northern Arizona near Monument Valley. The model covers a time from about A.D. 400 to 1400 and con...

Agent-based social simulation (ABSS) as a main computational approach to social simulation has attracted increasing attention in the field of social computing. With the development of computer and information technologies, many new ABSS approaches have been proposed with wide application.. In this paper, we aim at reviewing research and applications of agent-based social simulation and modeling...

Social simulation is often described as a multidisciplinary and fast-moving field. This can make it difficult to obtain an overview of the field both for contributing researchers and for outsiders who are interested in social simulation. The Journal for Artificial Societies and Social Simulation (JASSS) completing its tenth year provides a good opportunity to take stock of what happened over th...

community detection is a task of fundamental importance in social network analysis. community structures enable us to discover the hidden interactions among the network entities and summarize the network information that can be applied in many applied domains such as bioinformatics, finance, e-commerce and forensic science. there exist a variety of methods for community detection based on diffe...

When trying to understand social processes and phenomena, it is relevant, and arguably important, to take psychology (cognition, motivation, and so on) of individuals into consideration. Detailed computational models of cognitive agents that incorporate a wide range of psychological functionalities have been developed in cognitive science, while most of the work in social simulation still assum...

I explore a type of computational social simulation known as artificial societies. Artificial society simulations are dynamic models of real-world social phenomena. I explore the role that these simulations play in social explanation, by situating these simulations within contemporary philosophical work on explanation and on models. Many contemporary philosophers have argued that models provide...

Artificial agents have been deployed in simulating social or economic phenomena in order to find optimal policy to govern agents’ society. However, with an increase of the complexity of agents’ internal behaviors as well as their social interactions, modeling social behaviors and tracking down optimal policies in mathematical form become intractable. In this paper, genetic algorithm is used to ...