A negotiation between agents is typically an incomplete information game, where the agents
initially do not know their opponent's preferences or strategy. This poses a challenge, as …

The design of automated negotiators has been the focus of abundant research in recent
years. However, due to difficulties involved in creating generalized agents that can negotiate …

This paper presents a general framework for multilateral turn-taking protocols and two fully
specified protocols namely Stacked Alternating Offers Protocol (SAOP) and Alternating …

Intelligent agents and AI-based systems are becoming increasingly prevalent. They support
people in different ways, such as providing users with advice, working with them to achieve …

Negotiation is an integral part of our daily life and plays an important role in resolving
conflicts and facilitating human interactions. Automated negotiation, which aims at capturing …

Recent advances in deep reinforcement learning (RL) have led to considerable progress in
many 2-player zero-sum games, such as Go, Poker and Starcraft. The purely adversarial …

Abstract The Automated Negotiating Agents Competition (ANAC) is a yearly-organized
international contest in which participants from all over the world develop intelligent …

Abstract The annual International Automated Negotiating Agents Competition (ANAC) is
used by the automated negotiation research community to benchmark and evaluate its work …

In multi-issue automated negotiation against unknown opponents, a key part of effective
negotiation is the choice of concession strategy. In this paper, we develop a principled …

Every year, automated negotiation agents are improving on various domains. However,
given a set of negotiation agents, current methods allow to determine which strategy is best …