AIMar 30, 2020

The current state of automated negotiation theory: a literature review

arXiv:2004.02614v24 citations
AI Analysis

This is an incremental work that provides a literature review for researchers and practitioners in fields like e-commerce and smart grids, summarizing existing knowledge without introducing new methods.

The paper addresses the lack of recent surveys on automated negotiation theory and its intersection with reasoning about uncertainty, aiming to provide a comprehensive review of advancements in opponent modeling and barriers like unpredictable outcomes and user trust.

Automated negotiation can be an efficient method for resolving conflict and redistributing resources in a coalition setting. Automated negotiation has already seen increased usage in fields such as e-commerce and power distribution in smart girds, and recent advancements in opponent modelling have proven to deliver better outcomes. However, significant barriers to more widespread adoption remain, such as lack of predictable outcome over time and user trust. Additionally, there have been many recent advancements in the field of reasoning about uncertainty, which could help alleviate both those problems. As there is no recent survey on these two fields, and specifically not on their possible intersection we aim to provide such a survey here.

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