AICLJul 5, 2017

The Complex Negotiation Dialogue Game

arXiv:1707.01450v12 citations
Originality Synthesis-oriented
AI Analysis

It provides a framework for evaluating algorithms in negotiation tasks, but it is incremental as it focuses on modeling rather than new results.

The paper formalizes an abstract model for complex negotiation dialogue to benchmark optimization algorithms like Reinforcement Learning and Stochastic Games.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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