
TL;DR
This paper explores the core issues of natural language communication between autonomous agents using a game-theoretic framework, focusing on meaning inference and key challenges like salience and common sense.
Contribution
It introduces the meaning game model to formalize communication and discusses fundamental issues affecting natural language interaction in game-theoretic terms.
Findings
Feasibility of game-theoretic account of language demonstrated
Key issues like salience and common sense analyzed
Formalization of communication as a meaning game
Abstract
As interaction between autonomous agents, communication can be analyzed in game-theoretic terms. Meaning game is proposed to formalize the core of intended communication in which the sender sends a message and the receiver attempts to infer its meaning intended by the sender. Basic issues involved in the game of natural language communication are discussed, such as salience, grammaticality, common sense, and common belief, together with some demonstration of the feasibility of game-theoretic account of language.
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Taxonomy
TopicsArtificial Intelligence in Games · Multi-Agent Systems and Negotiation · Opinion Dynamics and Social Influence
