This study maps instructional support and learning outcomes of argumentation game-based
learning. For this systematic review, 29 publications dating from 2000 through 2019 were …

The decision-making process can be complex and underestimated, where mismanagement
could lead to poor results and excessive spending. This situation appears in highly complex …

The hypothesis-driven methodology is a cognitive activity used in expertise processes to
solve problems with limited knowledge and understanding. Although some organizations …

Abstract Explainable Artificial Intelligence systems, including intelligent agents, are expected
to explain their internal decisions, behaviors and reasoning that produce their choices to the …

During the first step of practical reasoning, ie deliberation or goals selection, an intelligent
agent generates a set of pursuable goals and then selects which of them he commits to …

Abstract Human-aware Artificial Intelligent systems are goal directed autonomous systems
that are capable of interacting, collaborating, and teaming with humans. Two relevant tasks …

Nowadays, Expertise Processes are implemented in many fields, particularly in the industry,
to evaluate situations, understand problems, or anticipate risks. These processes can also …

Since multiagent systems are intrinsically distributed, debugging and explaining their
behaviour poses a especial challenge. In [1] a new abstract model for intelligent agents is …

Hypotheses-driven methodology is a widely used approach in expertise process to solve
problems under conditions of limited knowledge and understanding. Although this approach …

By considering rational agents, we focus on the problem of selecting goals out of a set of
incompatible ones. We consider three forms of incompatibility introduced by Castelfranchi …