Automated negotiation agents capable of negotiating efficiently with people must deal with
the fact that people are diverse in their behavior and each individual might negotiate in a …

Many negotiations in the real world are characterized by incomplete information, and
participants' success depends on their ability to reveal information in a way that facilitates …

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 …

We consider multi-agent decision making problems in which agents need to communicate
with other agents to make socially optimal decisions but, at the same time, have some …

Understanding the objective of economic regulation as mimicking the process of
competition, rather than the outcome of theoretical competitive markets, recognises the need …

Inter-and intra-clan conflicts in Northern Israel pit hundreds against each other in revenge
cycles that take years to resolve and impact the entire community. The Sulha is a Shari'a …

Abstract Temporal Argumentation Frameworks (TAF) represent a recent extension of Dung's
abstract argumentation frameworks that consider the temporal availability of arguments. In a …

Negotiations are critical to interpersonal interactions, yet little is known about how the
conceptual skills that support successful negotiations develop in childhood and across …

The interactive ArgTrust application is a decision-making tool that is based on an underlying
formal system of argumentation in which the evidence that influences a recommendation, or …

Negotiation is an interaction that happens in multi-agent systems when agents have
conflicting objectives and must look for an acceptable agreement. A typical negotiating …