Agent negotiation in multi-agent systems has been extensively studied, focusing on both
theoretical and applied research. However, a limited number of studies have considered …

Abstract The Automated Negotiating Agents Competition (ANAC) is annually organized
competition to facilitate the research on automated negotiation. This paper presents the …

In automatic negotiation, an automated agent is trained to negotiate on behalf of a human
negotiator. We consider that the domain of negotiations is known to both the agent and its …

The Factory of the Future vision focuses on new generation of enterprises that will exploit
latest breakthroughs in data sciences and in Internet-connected devices to effectively …

Recent years are showing increased adoption of AI technology to automate business and
production processes thanks to the recent successes of machine learning techniques. This …

Frequency opponent modeling is one of the most widely used opponent modeling
techniques in automated negotiation, due to its simplicity and its good performance. In fact, it …

In recent years, the research community has become increasingly interested in automated
negotiation. It has been used in real-world systems such as autonomous vehicle …

Automated negotiation is a toolset to model human interactions during a negotiation process
with the aim of improving the efficiency and quality of decision-making using advanced …

Automated Negotiation is a growing area of research in recent years as it provides a
mechanism for intelligent agents representing people and institutions to coordinate their …

Determining an effective strategy for intelligent agents in multilateral negotiations is a more
complicated problem than in bilateral negotiations. In order to achieve an optimal and …