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 …

Moving beyond the direct support all alone by a human teacher or an Artificial Intelligence
(AI) system, optimizing the complementary strengths of the two has aroused great …

Computers that negotiate on our behalf hold great promise for the future and will even
become indispensable in emerging application domains such as the smart grid and the …

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

In automatic negotiation, intelligent agents try to reach the best deal possible on behalf of
their owners. In previous studies, opponent modeling of a negotiator agent has been used to …

Emotional persuasion driven by agent-based decision-making has shown greater prospects
for negotiation between business partners. However, the interactive assessment of …

Negotiation mechanisms have been proven useful for decentralized resource-constrained
multi-project scheduling with self-interested parties (agents) that work together in completing …

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 …

Explainable AI (XAI) has emerged in recent years as a set of techniques and methodologies
to interpret and explain machine learning (ML) predictors. To date, many initiatives have …

This paper introduces a dependency analysis and a categorization of conceptualized and
existing economic decision support mechanisms for negotiation. The focus of our survey is …