The use of computer simulation for building theoretical models in social science is introduced. It is proposed that agent-based models have potential as a “third way” of carrying out social science, in addition to argumentation and formalisation. With computer simulations, in contrast to other methods, it is possible to formalise complex theories about processes, carry out experiments and observe the occurrence of emergence. Some suggestions are offered about techniques for building agent-based models and for debugging them. A scheme for structuring (...) a simulation program into agents, the environment and other parts for modifying and observing the agents is described. The article concludes with some references to modelling tools helpful for building computer simulations. (shrink)

The relationship between social segregation and workplace segregation has been traditionally studied as a one-way causal relationship mediated by referral hiring. In this paper we introduce an alternative framework which describes the dynamic relationships between social segregation, workplace segregation, individuals’ homophily levels, and referral hiring. An agent-based simulation model was developed based on this framework. The model describes the process of continuous change in composition of workplaces and social networks of agents, and how this process affects levels of workplace segregation (...) and the segregation of social networks of the agents (people). It is concluded that: (1) social segregation and workplace segregation may co-evolve even when hiring of workers occurs mainly through formal channels and the population is initially integrated (2) majority groups tend to be more homophilous than minority groups, and (3) referral hiring may be beneficial for minority groups when the population is highly segregated. (shrink)

The use of findings from conversation analysis in the design of human-computer interfaces and especially in the design of computer-human speech dialogues is a matter of considerable controversy. For example, in “Going up a Blind Alley” (Button, 1990) and “On Simulacrums of Conversation” (Button and Sharrock, 1995), Button argues that conversation analysis is of only limited use in the computational modelling of interaction. He suggests that computers will never be able to “converse” with humans because of the fundamentally different ways (...) in which humans and computers use rules in the production of language.We show in this paper that these arguments are neither necessary nor sufficient to rule out the possibility of computers which can be said to converse. They depend on a view about the nature of rules which is based on a fundamental misunderstanding of the scope of computation. The way in which mathematical systems such as Context Free Grammars use rules is very different from the use of the rules in principle-based approaches to language or the “micro-rules” of neural networks. If there is a problem with conversing computers, it lies more with the true nature of the interaction that is taking place and with considerations about the nature of cognition than with the construction and use of rules. (shrink)

Collective representations of the quality of artifacts are produced by human societies in a variety of contexts. These representations of quality emerge from a broad range of social interactions, from the uncoordinated behaviour of large collectives of individuals, to the interaction between individuals and organizations, to complex socio-technical processes such as those enabled by online peer production systems. This special issue brings together contributions from sociology, social psychology and social simulation to shed light on the nature of these representations and (...) the social processes that produce them. (shrink)

Computational sociology models social phenomena using the concepts of emergence and downward causation. However, the theoretical status of these concepts is ambiguous; they suppose too much ontology and are invoked by two opposed sociological interpretations of social reality: the individualistic and the holistic. This paper aims to clarify those concepts and argue in favour of their heuristic value for social simulation. It does so by proposing a link between the concept of emergence and Luhmann's theory of communication. For Luhmann, society (...) emerges from the bottom-up as communication and he describes the process by which society limits the possible selections of individuals as downward causation. It is argued that this theory is well positioned to overcome some epistemological drawbacks in computational sociology. (shrink)