Intelligent scheduling covers various tools and techniques for successfully and efficiently
solving the scheduling problems. In this paper, we provide a survey of intelligent scheduling …

This study presents an optimization model using constraint programming (CP) for project
selection and scheduling problems with time-dependent resource constraints. A generic …

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 …

Artificial Intelligence is one of the fastest growing disciplines, disrupting many sectors.
Originally mainly for computer scientists and engineers, it has been expanding its horizons …

While executing its plan in a dynamic environment where multiple agents are operating, an
autonomous agent may suffer a failure due to discrepancies between the expected and …

While the marketing literature has advocated for decades that new products should be
designed for intended and anticipated consumer usages, the engineering literature mostly …

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 …

Dominance breaking is a powerful technique in improving the solving efficiency of
Constraint Optimization Problems (COPs) by removing provably suboptimal solutions with …

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

In this paper, we are considering that the design process can be modelled in the form of a
constraint satisfaction problem (CSP). CSP modelling or resolution has proved its efficiency …