Hierarchies are one of the most common structures used to understand and conceptualise
the world. Within the field of Artificial Intelligence (AI) planning, which deals with the …

Hierarchies are the most common structure used to understand the world better. In galaxies,
for instance, multiple-star systems are organised in a hierarchical system. Then …

In this paper we propose myPTutor, a general and effective approach which uses AI
planning techniques to create fully tailored learning routes, as sequences of Learning …

The human ability to take the right decisions is very important in real world critical situations.
An interesting problem always worth being investigated concerns how to teach decision …

Combining learning objects are a challenging topic because of its direct application to
curriculum generation, tailored to the students' profiles and preferences. Intelligent planning …

The fourth industrial revolution, also known as Industry 4.0, has already begun enabling
technological innovations in various domains, especially in the manufacturing and service …

This work describes an approach that automatically extracts standard metadata information
from e-learning contents, combines it with the student preferences/goals and creates PDDL …

One of the current limitations for large-scale use of planning technology in real world
applications is the lack of software platforms to integrate the full spectrum of planning-related …

This study introduces a distributed virtual laboratory for a multiagent programming course
which has been very satisfactorily adopted by students, with a success rate of nearly 80%. It …

Abstract Domain-independent planning is one of the long-standing sub-areas of Artificial
Intelligence (AI), aiming at approaching human problem-solving flexibility. The area has long …