Flexible Word Meaning in Embodied Agents

Pieter Wellens, Martin Loetzsch

Onderzoeksoutput: Conference paper


In this paper we present a computational model of lexicon
formation that extends the nature of form-meaning associations from
previous language game models to be more flexible. The model more
easily copes with complexity and it better captures the flexibility of
form-meaning associations found in human languages. Experiments are
conducted using embodied agents playing situated language games. We
present and discuss some interesting properties of the emergent dynamics
exhibited by our model: first, the model seems to be able to handle some
difficulties earlier models struggled with. Second, meanings of words can
shift between being very specific (names) and general (e.g. thing ). And
third, not the model itself but the distribution of ob ject properties in
the world biases the specificity of words.
Originele taal-2English
TitelSocial Learning in Embodied Agents
Aantal pagina's10
StatusPublished - 2007
EvenementUnknown - Stockholm, Sweden
Duur: 21 sep 200925 sep 2009




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