Abstract

Spatial evolution in ancient Chinese villages is always one of the most interesting research topics in the field of architectural design, urban planning and history of architecture. Xi-di village exemplifies traditional settlements in ancient China. For many years, numerous researchers have explored its built form, origin and evolution process from different perspectives. This paper attempts to position the spatial evolution process of this village in the context of complex system theory, which views the process of space self-organization as a form of disequilibrium and non-linear development process. Through analyzing the mechanism of village space changes, we develop the dynamic evolution modeling based on the theory of cellular automata. The purpose of the paper is to provide a new perspective for the conventional architectural research of space self-organization.

Abstract

The experiment carried by the author in 2010 is to test if self-organizing systems could be systematically regulated according to the users preference for global behavior. Self-organizing has been appreciated by architects and urban planners for its richness in the emerging global behaviors, however, design and self-organizing are contradictory in principle. It seems that it is inevitable to balance the design and self-organization if self-organization is employed in a design task. There have been approaches combining self-organizing with optimization process in a parallel manner. This experiment strives to regulate a self-organizing system according to non-defined objectives via real-time interaction between the user and the computer. Particularly, cellular automaton is employed as the self-organizing system to model a city district.

Abstract

Numerous social-oriented collaborative technologies, called social technologies, are presented within the framework of digital literacy. They have an impact in the empowerment and self-organization of individuals and groups as they set their own goals and increase their influence in public opinion. These digital platforms also help to obtain practical outcomes by new forms of interchange

Abstract

Peer-to-peer networks have often been touted as the ultimate solution to scalability. Although cooperative techniques have been initially used almost exclusively for content lookup and sharing, one of the most promising application of the peer-to-peer paradigm is to capitalize the bandwidth of client peers to quickly distribute large content and withstand flash-crowds (i.e., a sudden increase in popularity of some online content). Cooperative content distribution is based on the premise that the capacity of a network is as high as the sum of the resources of its nodes: the more peers in the network, the higher its aggregate bandwidth, and the better it can scale and serve new peers. Such networks can thus spontaneously adapt to the demand by taking advantage of available resources. In this paper, we evaluate the use of peer-to-peer networks for content distribution under various system assumptions, such as peer arrival rates, bandwidth capacities, cooperation strategies, or peer lifetimes. We argue that the self-scaling and self-organizing properties of cooperative networks pave the way for cost-effective, yet highly efficient and robust content distribution. Document type: Part of book or chapter of book

Abstract

International audience; In the near future, air traffic control (ATC) will have to cope with a radical change in the structure of air transport [1]. Apart from the increase in traffic that will push the system to its limits, the insertion of new aerial vehicles such as drones into the airspace, with different flight performances, will increase its heterogeneity. Current research aims at increasing the level of automation and partial delegation of the control to on-board systems. In this work, we investigate the collision avoidance management problem using a decentralized distributed approach. We propose an autonomous and generic multi-agent system to address this complex problem. We validate our system using state-of-the-art benchmarks. The results underline the adequacy of our local and cooperative approaches to efficiently solve the studied problem.