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An Algorithm for Bootstrapping Communications

Author(s)
Beal, Jacob
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Abstract
I present an algorithm which allows two agents to generate a simple language based only on observations of a shared environment. Vocabulary and roles for the language are learned in linear time. Communication is robust and degrades gradually as complexity increases. Dissimilar modes of experience will lead to a shared kernel vocabulary.
Date issued
2001-08-13
URI
http://hdl.handle.net/1721.1/6082
Other identifiers
AIM-2001-016
Series/Report no.
AIM-2001-016
Keywords
AI, Adaptive Learning Hash-coding communication architecture algorithm

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