This paper presents a case study based on the experiences surrounding a distance-learning module in the area of Information and Communication Technologies (ICT) that includes a creative multimedia component as an integral part of its teaching and assessment. The module requires that students engage in multimedia production to articulate their ideas and understanding of technology-related concep...

Learning of user preferences has become a core issue in AI research. For example, recent studies investigate learning of Conditional Preference Networks (CP-nets) from partial information. To assess the optimality of learning algorithms as well as to better understand the combinatorial structure of CP-net classes, it is helpful to calculate certain learning-theoretic information complexity para...

AbstractThis paper presents an intelligent navigation method for navigation of a mobile vehicle in unknown environments. The proposed navigator consists of three modules: Obstacle Avoidor, Environment Evaluator and Navigation Supervisor. The Obstacle Avoidor is a fuzzy controller whose rule base is learnt through reinforcement learning. A new and powerful training method is proposed to constru...

The practice of transportation engineering and planning has evolved substantially over the past several decades. A new paradigm for transportation engineering education is required to better engage students and deliver knowledge. Simulation tools have been used by transportation professionals to evaluate and analyze the potential impact of design or control strategy changes. Conveying complex t...

Software agents, nowadays has become most favorable technology in developing computer systems. Software agent can be used to quickly and easily build integrated agent-based systems where agents can be applied in all domains of interest and one of them is in education. In the higher learning institution, lecturers are optimize with workloads such as lecturing, lecture preparation, student consul...

Learning of user preferences, as represented by, for example, Conditional Preference Networks (CP-nets), has become a core issue in AI research. Recent studies investigate learning of CP-nets from randomly chosen examples or from membership and equivalence queries. To assess the optimality of learning algorithms as well as to better understand the combinatorial structure of classes of CP-nets, ...