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Abstract: Agent-based modeling has proven to be particularly effective for fine-grain social modeling. However, so far, the modeling of social agents has not involved dynamics based on interpretive interaction. Meaning or interpretation plays a significant role in human interactions. These micro effects might create interesting effects on aggregate dynamics. The goal of the Interpretive Agent (IA) project is to develop a framework in which agent-based modeling can incorporate interpretive mechanisms. We... (Update)
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@misc{ labs-veena,
author = "Argonne National Labs",
title = "Veena S. Mellarkod",
url = "citeseer.ist.psu.edu/761491.html" }
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