Multi-agent dynamic-network ssimulations are emerging as a powerful technique for reasoning about complex socio-cultural systems at sufficient fidelity that they can support policy development. Within these models the way in which the agents are modeled and the fidelity of the system are critical. Basic principles guiding the development and use of these models to support policy development are...

1 College of Science, North China University of Technology, Beijing 100144, China 2 Center for Systems and Control, Department of Mechanics and Engineering Science, Peking University, Beijing 100871, China 3 School of Electrical and Electronics Engineering, East China Jiaotong University, Nanchang 330013, China 4College of Computer and Information Engineering, Beijing Technology and Business Un...

Multicultural education, as an educational reform movement, has been given ample attention since 1960s. It has sought to promote the democratic values and educational equality in culturally and racially diverse communities. One of the most important issues at the forefront of education in multi-ethnic societies is how to bring social cohesion by helping people from different cultural, racial, l...

This paper aims to present a learning model for coordination schemes in Multi-Agent Systems (MAS) based on Cultural Algorithms (CA). In this model, the individuals (one of the CA components) are the different conversations that may occur in any multi-agent systems, and the coordination scheme learned is at the level of the way to perform the communication protocols into the conversation. A conv...

Drawing inspiration from the theory of linear “decomposable systems”, we provide a method, based on linear matrix inequalities (LMIs), which makes it possible to prove the convergence (or consensus) of a set of interacting agents with polynomial dynamic. We also show that the use of a generalised version of the famous Kalman-Yakubovic-Popov lemma allows the development of an LMI test whose size...