In this paper, we propose to deal with the UAV airspace conflict resolution problem. We propose to search near optimal conflict free policies in virtue of the model-based reinforcement learning. We first analyze the UAV airspace conflict problem and the basic conditions in ensuring collision-free planning, and then discuss the features that effect the optimal action. We then propose the reinfor...

1. Abstract Multiagent systems (MAS) have been used to solve classes of problems for which one has limited expertise to propose a feasible solution. Usually, these problems are intrinsically distributed, very complex and/or involve extensive computations. We are particularly interested in multiagents systems supporting Computer-Supported Cooperative Work (CSCW), more specifically groupware with...

Priority rules are one of the most promising approaches to aircraft conflict resolution. This paper deals with the problem of priority assignment in autonomous Air Traffic Management with imperfect trajectory prediction. A robust solution is presented that relies on onboard traffic pattern classification using a data base common to all aircraft. The method allows reaching a common consensus in ...

In a knowledge-based system, rules can be defined to derive virtual attributes. Conflicts occur if multiple rules are applicable and one must be selected based on some criterion, such as priority. We identify important properties of a conflict resolution method and describe a technique for resolving conflicts and efficiently processing queries involving virtual attributes in a knowledge-based s...

Evaluative and comparative analysis among educational projects remains an issue for administration, program directors, instructors, and educational institutes. This study reports a fuzzy complexity model for educational projects, which has two primary aspects (technical aspects and transparency aspects). These aspects may not be measured precisely due to uncertain situations. Therefore, a fuzzy...