The Utility of Hedged Assertions in the Emergence of Shared Categorical Labels

January 25, 2016 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Martha Lewis, Jonathan Lawry arXiv ID 1601.06755 Category cs.AI: Artificial Intelligence Cross-listed cs.CL, cs.MA Citations 1 Venue arXiv.org Last Checked 4 months ago
Abstract
We investigate the emergence of shared concepts in a community of language users using a multi-agent simulation. We extend results showing that negated assertions are of use in developing shared categories, to include assertions modified by linguistic hedges. Results show that using hedged assertions positively affects the emergence of shared categories in two distinct ways. Firstly, using contraction hedges like `very' gives better convergence over time. Secondly, using expansion hedges such as `quite' reduces concept overlap. However, both these improvements come at a cost of slower speed of development.
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