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Language Acquisition through Intention Reading and Pattern Finding
One of AI’s grand challenges consists in the development of autonomous agents with communication systems offering the robustness, flexibility and adaptivity found in human languages.
Decentralised Emergence of Robust and Adaptive Linguistic Conventions in Populations of Autonomous Agents Grounded in Continuous Worlds
This paper introduces a methodology through which a population of autonomous agents can establish a linguistic convention that enables them to refer to arbitrary entities that they observe in their environment.
A Practical Guide to Studying Emergent Communication through Grounded Language Games
The question of how an effective and efficient communication system can emerge in a population of agents that need to solve a particular task attracts more and more attention from researchers in many fields, including artificial intelligence, linguistics and statistical physics.
Computational Models of Tutor Feedback in Language Acquisition
This paper investigates the role of tutor feedback in language learning using computational models.
