On Grounding Language Games in Practicality

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Abstract

Emergence of language grounded in perception
has been studied in computational agent societies with language games.
In this paper we introduce methods that can be used to ground
a language in the needs of the agents, i.e. practicality.
The needs of an agent arise from its goals and environment, which
together dictate what kind of a language is practical.
The methods are tested in multi-agent simulations.
Our results show that with our methods a practical language can emerge.
Interestingly we also observed, that a language does not need to be coherent
in the whole society for it to have practical benefits for the agents.
Original languageEnglish
Title of host publicationAISB Language Learning for Artificial Agents symposium (L2A2)
Number of pages5
Publication dateApr 2019
Pages16-20
Publication statusPublished - Apr 2019
MoE publication typeA4 Article in conference proceedings
Event2019 AISB Convention - Falmouth, United Kingdom
Duration: 16 Apr 201918 Apr 2019

Fields of Science

  • 113 Computer and information sciences
  • multi-agent systems
  • language game

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