Co-development of linguistic and behavioural skills: compositional semantics and behaviour generalisation

Elio Tuci, Tomassino Ferrauto, Gianluca Massera, Stefano Nolfi

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

2 Citations (SciVal)

Abstract

Population of simulated agents controlled by dynamical neural networks are trained by artificial evolution to access linguistic instructions and to execute them by indicating, touching or moving specific target objects. During training the agent experiences only a subset of all object/action pairs. During post-evaluation, some of the successful agents proved to be able to access and execute also linguistic instructions not experienced during training. This is owe to the development of a semantic space, grounded on the sensory motor capability of the agent and organised in a systematised way in order to facilitate linguistic compositionality and behavioural generalisation.
Original languageEnglish
Title of host publicationFrom Animals to Animats 11
Subtitle of host publication11th International Conference on Simulation of Adaptive Behavior, SAB 2010, Paris - Clos Lucé, France, August 25-28, 2010. Proceedings
Pages523-532
Number of pages10
Volume6226
ISBN (Electronic)978-3-642-15193-4
DOIs
Publication statusPublished - 2010
Event11th International Conference on Simulation of Adaptive Behavior, SAB 2010 - Paris, France
Duration: 25 Aug 201028 Aug 2010

Conference

Conference11th International Conference on Simulation of Adaptive Behavior, SAB 2010
Country/TerritoryFrance
CityParis
Period25 Aug 201028 Aug 2010

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