The Experts below are selected from a list of 288 Experts worldwide ranked by ideXlab platform
Gang Xiong - One of the best experts on this subject based on the ideXlab platform.
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Parallel Transportation Management and Control System and Its Applications in Building Smart Cities
IEEE Transactions on Intelligent Transportation Systems, 2016Co-Authors: Fenghua Zhu, Songhang Chen, Zhenjiang Li, Gang XiongAbstract:Advancements in complexity, complex Systems, and the intelligence sciences, particularly smart city technologies, have shown great potential in aiding to ease traffic congestion. The overall approach and the main ideas in building smart transportation for smart cities, particularly ACP (Artificial System, computational experiment, and parallel execution)-based parallel transportation management and control Systems (PTMS), are presented. PTMS can be expanded to the new generation of intelligent transportation Systems. The main components of the proposed architecture include social signal and social traffic, ITS clouds and services, agent-based traffic control, and transportation knowledge automation. Some technical details of these components are discussed. Finally, one case study is introduced, and the effectiveness is analyzed.
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Data-driven Artificial System of parallel emergency management for petrochemical plant
Proceedings of the 10th World Congress on Intelligent Control and Automation, 2012Co-Authors: Xiuqin Shang, Gang Xiong, Changjian Cheng, Xiwei LiuAbstract:A data-driven System of parallel emergency management is designed to manage production safety emergencies caused by natural or human-induced disasters in the petrochemical plant, combining with the parallel management theory based on ACP (Artificial Systems, Computational Experiment, and Parallel Execution) approach. Data is acquired by use of techniques including video monitoring and detection, which is the premise of building Artificial System. Based on mass data of the key state variables, Artificial System is designed by using fuzzy expert System and other intelligent modeling algorithms. Finally, the parallel emergency solution is provided for emergency management in one case of ethylene plant, and it can make a great improvement to the emergency management of the plant.
Pierre-yves Oudeyer - One of the best experts on this subject based on the ideXlab platform.
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Self-Organization in the Evolution of Speech
2006Co-Authors: Pierre-yves OudeyerAbstract:Speech is the principal supporting medium of language. In this book Pierre-Yves Oudeyer considers how spoken language first emerged. He presents an original and integrated view of the interactions between self-organization and natural selection, reformulates questions about the origins of speech, and puts forward what at first sight appears to be a startling proposal - that speech can be spontaneously generated by the coupling of evolutionarily simple neural structures connecting perception and production. He explores this hypothesis by constructing a computational System to model the effects of linking auditory and vocal motor neural nets. He shows that a population of agents which used holistic and unarticulated vocalizations at the outset are inexorably led to a state in which their vocalizations have become discrete, combinatorial, and categorized in the same way by all group members. Furthermore, the simple syntactic rules that have emerged to regulate the combinations of sounds exhibit the fundamental properties of modern human speech Systems. This original and fascinating account will interest all those interested in the evolution of speech. Contents * 1 The Self-Organization Revolution in Science * 2 The Human Speech Code * 3 Self-Organization and Evolution * 4 Existing Theories * 5 Artificial Systems as Research Tools for Natural Sciences * 6 The Artificial System * 7 Learning Perceptuo-Motor Correspondences * 8 Strong Combinatoriality and Phonotactics * 9 New Scenarios * 10 Constructing for Understanding * References * Index
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The Self-Organization of Speech Sounds
Journal of Theoretical Biology, 2005Co-Authors: Pierre-yves OudeyerAbstract:The speech code is a vehicle of language: it defines a set of forms used by a community to carry information. Such a code is necessary to support the linguistic interactions that allow humans to communicate. How then may a speech code be formed prior to the existence of linguistic interactions? Moreover, the human speech code is discrete and compositional, shared by all the individuals of a community but different across communities, and phoneme inventories are characterized by statistical regularities. How can a speech code with these properties form? We try to approach these questions in the paper, using the "methodology of the Artificial". We build a society of Artificial agents, and detail a mechanism that shows the formation of a discrete speech code without pre-supposing the existence of linguistic capacities or of coordinated interactions. The mechanism is based on a low-level model of sensory-motor interactions. We show that the integration of certain very simple and non language-specific neural devices leads to the formation of a speech code that has properties similar to the human speech code. This result relies on the self-organizing properties of a generic coupling between perception and production within agents, and on the interactions between agents. The Artificial System helps us to develop better intuitions on how speech might have appeared, by showing how self-organization might have helped natural selection to find speech.
Fei-yue Wang - One of the best experts on this subject based on the ideXlab platform.
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Parallel Control of Distributed Parameter Systems
IEEE transactions on cybernetics, 2018Co-Authors: Yuhua Song, Zhijie Liu, Changyin Sun, Fei-yue WangAbstract:In this paper, we study the control problems of distributed parameter Systems, and discuss the limitations of traditional control methods. In recent years, social factors have gradually become an essential parameter of System modeling. For complex distributed parameter Systems, the accurate modeling becomes difficult. With the rapid development of the network and the technology of big data and cloud computing, based on the advanced control theory of large-scale computing, we introduce the idea of parallel control to the control of distributed parameter Systems. Parallel control is a method to accomplish tasks through the interaction of virtual and actual. Its core is to model the complex distributed parameter System on Artificial society or Artificial System, then analyze and evaluate it by computational experiment, and finally control and manage the distributed parameter System by parallel execution. Data-driven control and computational control are used in this method, which is a control idea that adapts to the rapid development of society.
Edoardo Datteri - One of the best experts on this subject based on the ideXlab platform.
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Simulation experiments in bionics: a regulative methodological perspective
Biology & Philosophy, 2009Co-Authors: Edoardo DatteriAbstract:Bionic technologies connecting biological nervous Systems to computer or robotic devices for therapeutic purposes have been recently claimed to provide novel experimental tools for the investigation of biological mechanisms. This claim is examined here by means of a methodological analysis of bionics-supported experimental inquiries on adaptive sensory-motor behaviours. Two broad classes of bionic Systems (regarded here as hybrid simulations of the target biological System) are identified, which differ from each other according to whether a component of the biological target System is replaced by an Artificial component, or else a component of an Artificial System is replaced by a biological component. The role of these hybrid Systems in the modelling of adaptive sensory-motor biological behaviours is discussed with reference to bionics-supported experiments on the mechanisms of body stabilization in lampreys. Methodological problems emerging from these case studies often arise in computer-based and biorobotic simulations of biological behaviours too. Accordingly, the present analysis contributes to identifying a more general regulative methodological framework for the machine-based modelling of biological Systems.
Zhongshan Zhang - One of the best experts on this subject based on the ideXlab platform.
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SMC - Parallel Loading and Unloading: Smart Technology towards Intelligent Logistics
2019 IEEE International Conference on Systems Man and Cybernetics (SMC), 2019Co-Authors: Dayong Shen, Hu Jiayuan, Zhai Tianheng, Tao Wang, Zhongshan ZhangAbstract:The ACP theory plays an important role in modeling and controlling complex, uncertain Systems. Parallel loading and unloading is the specific application of parallel theory in the field of parcel handling. This paper proposes the basic framework of the parallel loading and unloading System. Under this framework, the physical loading and unloading process is described by constructing a Artificial loading and unloading System. On this basis, the Artificial System predicts the best loading and unloading solution through computational experiments. The physical loading and unloading System executes the solution from the Artificial System. Finally, the parallel execution builds a bridge between the physical System and the Artificial System. The parallel System will be updated and optimized continuously. Parallel loading and unloading is one smart technology toward intelligent logistics, which provides a new methodology for parcel handling technology.
