Simulating the evolution of a grammar for case

The paper presents a multi-agent model in which steps towards the evolution of a grammar for case are simulated. The agents have the capability to visually perceive dynamic scenes and analyse them into event structures. They then play a language game in which one agent describes to another one a recently seen event. Agents invent and learn grammar as part of the game. Grammar is seen as an evolving adaptive system that is shaped and negotiated by the agents as they optimise communication.

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Bibliographic Details
Main Author: Steels, Luc
Other Authors: Centre National de la Recherche Scientifique (France)
Format: comunicación de congreso biblioteca
Language:English
Published: 2002
Subjects:Case grammar, Evolutionary linguistics, Multi-agent simulations,
Online Access:http://hdl.handle.net/10261/128154
http://dx.doi.org/10.13039/501100004794
http://dx.doi.org/10.13039/501100004418
http://dx.doi.org/10.13039/501100000782
http://dx.doi.org/10.13039/501100008367
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