A Robust Multi-Sensor PHD Filter Based on Multi-Sensor Measurement Clustering

The multi-agent system recommends the most optimum algorithm for each problem, there are other multi- agent systems that use algorithms for doing recommendations in different

The first thing that User Agent does is to send a message to the Agent Station that have assigned the number of his Origin Station requesting a vehicle.. Depending on the answer

The first agent used is PCA, it organizes the projects according to the level of skill that a student needs to accomplish them; then the SCA agent clusters the students by

Glaeser, et al Modeling of Circadian Rhythm under influence of Pain: an approach based on Multi-agent Simulation..

In this paper we introduce the Multi-Agent Hierarchical Task Network (MA-HTN) planning formalism, allowing the representation of multi-agent planning domains and problems for

Therefore, the present research presents a review of the main vulnerabilities that occur in multi-agent systems responsible for managing e-commerce applications, as

This work proposes a multi-agent Knowledge-based recommendation model for adaptive LO, according to the stu- dent's profile and prior knowledge, using metadata clustering..

In this paper, we present our initial findings on our research to develop a comprehensive framework for research su- pervision management utilizing the multi-agent system’s approach