Yazar "Albayrak, R.S." seçeneğine göre listele

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    Formalizing epistemological constituents of emergence
    (2008) Albayrak, R.S.; Süerdem, A.
    Social action depends on the knowledge about all levels of emergent structure and this knowledge is not limited to but produced by the local binary interactions, thus requiring reflexivity and intentionality. This knowledge resides in the impersonal area of symbol systems and is produced by a metalanguage which carries the knowledge of emergent structure beyond local networks to the topological knowledge of the macro phenomena. Individual agents use symbol systems as tool-kits to encode their intents, and use their world-views to ground the symbols and ethos to challenge meaning-symbol correspondences through their everyday practices. Symbolic interaction is not only the symbolic affirmation of shared social classifications and normative protocols that regulate interactions but is also making sense of expressive, symbolic behaviour and decoding the intent of the counterparts from these symbols. Meta-language is the key concept to understand how this knowledge is generated through semiotic relations. This paper develops the formal infrastructure of such a model and elaborates various mechanisms that can be implemented within a social simulation model.
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    Towards a new approach in social simulations:Meta-language
    (2009) Albayrak, R.S.; Süerdem, A.K.
    In this paper we will present a framework for bridging micro to macro emergence, macro-to-micro social causation, and the dialectic between emergence and social causation. We undertake a cultural approach for modeling communication and symbolic interaction between agents as the key element of connecting these three aspects. A cultural approach entails modeling cognitive agents who are not only capable of representing knowledge but also able to generate meanings through their experiential activities. We offer a meta-language approach allowing dynamic meaning generation during the interactions of the agents. This framework is implemented to a social simulation model. There are four important implications of the model: First, model shows a dynamic setup where agents can generate and elaborate multiplicity of meanings. Second, it exemplifies how individual mental models can interact with each other and evolve. Third, we see that a thickly coherent cultural background is not necessary for the emergence of embedded social networks, a thin coherence such as opposition maps would be sufficient to observe their dynamic formation. Fourth, exchange of meanings through successful sense-making practices generates a social anchoring process.