Ease-of-teaching and language structure from emergent communication
Artificial agents have been shown to learn to communicate when needed to complete a
cooperative task. Some level of language structure (eg, compositionality) has been found in
the learned communication protocols. This observed structure is often the result of specific
environmental pressures during training. By introducing new agents periodically to replace
old ones, sequentially and within a population, we explore such a new pressure—ease of
teaching—and show its impact on the structure of the resulting language.
cooperative task. Some level of language structure (eg, compositionality) has been found in
the learned communication protocols. This observed structure is often the result of specific
environmental pressures during training. By introducing new agents periodically to replace
old ones, sequentially and within a population, we explore such a new pressure—ease of
teaching—and show its impact on the structure of the resulting language.
Abstract
Artificial agents have been shown to learn to communicate when needed to complete a cooperative task. Some level of language structure (eg, compositionality) has been found in the learned communication protocols. This observed structure is often the result of specific environmental pressures during training. By introducing new agents periodically to replace old ones, sequentially and within a population, we explore such a new pressure—ease of teaching—and show its impact on the structure of the resulting language.
proceedings.neurips.cc
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