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Found 11 papers, 1 papers with code
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.
Construction Grammar and Artificial Intelligence
In this chapter, we argue that it is highly beneficial for the contemporary construction grammarian to have a thorough understanding of the strong relationship between the research fields of construction grammar and artificial intelligence.
Usage-based learning of grammatical categories
Human languages use a wide range of grammatical categories to constrain which words or phrases can fill certain slots in grammatical patterns and to express additional meanings, such as tense or aspect, through morpho-syntactic means.
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.
Re-conceptualising the Language Game Paradigm in the Framework of Multi-Agent Reinforcement Learning
In this paper, we formulate the challenge of re-conceptualising the language game experimental paradigm in the framework of multi-agent reinforcement learning (MARL).
Multi-agent Reinforcement Learning
reinforcement-learning
+1
Facilitating on-line opinion dynamics by mining expressions of causation. The case of climate change debates on The Guardian
News website comment sections are spaces where potentially conflicting opinions and beliefs are voiced.
Evaluation Strategies for Computational Construction Grammars
Despite the growing number of Computational Construction Grammar implementations, the field is still lacking evaluation methods to compare grammar fragments across different platforms.
Referential Uncertainty and Word Learning in High-dimensional, Continuous Meaning Spaces
This paper discusses lexicon word learning in high-dimensional meaning spaces from the viewpoint of referential uncertainty.
BIG-bench Machine Learning
Vocal Bursts Intensity Prediction
