The Complex Negotiation Dialogue Game
Romain Laroche

TL;DR
This paper introduces an abstract model for complex negotiation dialogue aimed at benchmarking various optimization algorithms like Reinforcement Learning and Stochastic Games.
Contribution
It formalizes a novel abstract model for negotiation dialogue to serve as a benchmark for diverse optimization techniques.
Findings
Provides a formal framework for negotiation dialogue modeling
Enables benchmarking of optimization algorithms in dialogue systems
Facilitates comparison of learning methods in complex negotiation scenarios
Abstract
This position paper formalises an abstract model for complex negotiation dialogue. This model is to be used for the benchmark of optimisation algorithms ranging from Reinforcement Learning to Stochastic Games, through Transfer Learning, One-Shot Learning or others.
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Taxonomy
TopicsMulti-Agent Systems and Negotiation · Speech and dialogue systems · Topic Modeling
