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This paper is on negotiation, precisely on the negotiation of meaning. We advance and discuss a formal paradigm of coordination and variants thereof, wherein meaning negotiation plays a major role in the process of convergence to a common agreement. Our model engages a kind of pairwise, model-theoretic coordination between knowledge-based agents, eventually able to communicate the complete & local meaning of their beliefs by expressions taken from the literals of a common first-order language. We focus on the framework of inductive inference—sometimes called “formal learning theory,” and argue that it offers a fresh and rigorous perspective on many current debates in Artificial Intelligence in the context of multiple agents in interaction.
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