The Language Evolution LAB is oriented to the analysis of the Origin of Evolution of Language studying the cognitive mechanisms, interaction patterns, and collective dynamics that could explain how grammatical structures arise in human language by building agent-based models and using the hypothesis that self-organization and (linguistic) selection are the primary driving forces.

The research is based on the hypothesis that language is a complex adaptive system that emerges through adaptive interactions between agents and continues to evolve in order to remain adapted to the needs and capabilities of the agents. This research has been implemented in fluid construction grammar (FCG), a formalism for construction grammars that has been specially designed for the origins and evolution of language. The approach of computational modeling and the use of virtual and robotic agents grounded in real life is claimed to be theory independent. It enables the researcher to find out exactly what cognitive capacities are needed for certain language phenomena to emerge. It also focuses the researcher in formulating hypotheses in a precise and exact manner, whereas theoretical models often stay very vague.

Investigador principal Investigador principal

Membres del grup Membres del grup

Projectes en curs Projectes en curs

Publicacions Publicacions

Steels L.; De Mantaras R.L. 2018. The Barcelona declaration for the proper development and usage of artificial intelligence in Europe. AI Communications. 31(6):485-494 doi: 10.3233/AIC-180607

Steels L. 2018. What Needs to Be Done to Ensure the Ethical Use of AI?. Frontiers in Artificial Intelligence and Applications. 308():10-13 doi: 10.3233/978-1-61499-918-8-10

Steels L., Szathmáry E. 2018. The evolutionary dynamics of language. BioSystems. 164: 128-137 doi: 10.1016/j.biosystems.2017.11.003

Steels L. 2017. Basics of fluid construction grammar. Constructions and Frames. 9(2):178-225

Steels L. 2017. Requirements for computational construction grammars.. AAAI Spring Symposium - Technical Report. SS-17-01:251-257

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