7 found
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  1.  16
    Complexity at the Social Science Interface.Nigel Gilbert & Seth Bullock - 2014 - Complexity 19 (6):1-4.
  2.  51
    How to Build and Use Agent-Based Models in Social Science.Nigel Gilbert & Pietro Terna - 2000 - Mind and Society 1 (1):57-72.
    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 (...)
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  3.  29
    Modelling the Emergence and Dynamics of Social and Workplace Segregation.Mohamed Abdou & Nigel Gilbert - 2009 - Mind and Society 8 (2):173-191.
    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 (...)
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  4.  37
    On the Nature of Rules and Conversation.Andrew Fordham & Nigel Gilbert - 1995 - AI and Society 9 (4):356-372.
    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 (...)
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  5.  24
    Simulating Large Social Networks in Agent-Based Models: A Social Circle Model.Lynne Hamill & Nigel Gilbert - 2010 - Emergence: Complexity and Organization 12 (4):78-94.
  6.  6
    Symposium on “Collective Representations of Quality”: Introductory Article.Camille Roth, Dario Taraborelli & Nigel Gilbert - 2011 - Mind and Society 10 (2):165-168.
    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 (...)
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  7.  50
    Emergence and Communication in Computational Sociology.Mauricio Salgado & Nigel Gilbert - 2013 - Journal for the Theory of Social Behaviour 43 (1):87-110.
    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 (...)
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