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Argumentation Theoretical Frameworks for Explainable Artificial Intelligence
This paper discusses four major argumentation theoretical frameworks with respect to their use in support of explainable artificial intelligence (XAI).
Value alignment: a formal approach
Value alignment is then defined, and computed, for a given norm with respect to a given value through the increase/decrease that it results in the preferences of future states of the world.
TAIP: an anytime algorithm for allocating student teams to internship programs
In scenarios that require teamwork, we usually have at hand a variety of specific tasks, for which we need to form a team in order to carry out each one.
Synergistic Team Composition: A Computational Approach to Foster Diversity in Teams
Thus, the goal of the STCP is to partition a set of individuals into a set of synergistic teams: teams that are diverse in personality and gender and whose members cover all required competencies to complete a task.
Synergistic Team Composition
The aim of this study is to create a model to partition agents into teams that are balanced in competences, personality and gender.
Dispute Resolution Using Argumentation-Based Mediation
Mediation is a process, in which both parties agree to resolve their dispute by negotiating over alternative solutions presented by a mediator.
