Evolution of shared grammars for describing simulated spatial scenes with grammatical evolution Articles uri icon

publication date

  • June 2018

start page

  • 235

end page

  • 270

issue

  • 1-2

volume

  • 19

International Standard Serial Number (ISSN)

  • 1389-2576

abstract

  • We propose a model based on an evolutionary process combined with an adapted planning process to develop a limited spatial language with a syntactical structure in a team of artificial agents. Syntax is induced by means of a grammar and the grammar itself evolves in order to reach a syntactical agreement in the team. Evolution is implemented by adapting an evolutionary algorithm where each agent in the team manages a population of chromosomes that represent possible grammars. Grammars can be used by agents to generate utterances which are subsequently applied in language games to describe spatial relations. A planning process builds the sentences, but agents select the syntactical alternatives according to their current communicative intentions. Results in two different linguistic task show how a shared grammar can be developed in the group of agents.

subjects

  • Computer Science

keywords

  • grammatical evolution; dynamics of artificial languages; language games; multi-agent systems