Recent advances in the artificial endocrine system
暂无分享,去创建一个
[1] Yi Han,et al. Overview of Artificial Neural Networks , 2009, Artificial Neural Networks.
[2] Zhao Chun-xia. Particle swarm optimization based on endocrine regulation mechanism , 2007 .
[3] Jin Zhang,et al. Hormone-based Interacting Nodes Discovery with Low Latency and High Topology Consistency , 2007 .
[4] Kinji Mori. Autonomous decentralized systems technologies and their application to train transport operation system , 2001 .
[5] Wolfgang Trumler,et al. An Artificial Hormone System for Self-organization of Networked Nodes , 2006, BICC.
[6] Lei Wang,et al. Lattice-Based Artificial Endocrine System , 2010, LSMS/ICSEE.
[7] Vadim Kyrylov,et al. Modeling robust oscillatory behavior of the hypothalamic-pituitary-adrenal axis , 2005, IEEE Transactions on Biomedical Engineering.
[8] Jonathan Timmis,et al. An adaptive neuro-endocrine system for robotic systems , 2009, 2009 IEEE Workshop on Robotic Intelligence in Informationally Structured Space.
[9] S. Sugano,et al. Emotional communication between humans and the autonomous robot which has the emotion model , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).
[10] Gregory S. Chirikjian,et al. Modular Self-Reconfigurable Robot Systems , 2007 .
[11] Gregory S. Chirikjian,et al. Modular Self-Reconfigurable Robot Systems [Grand Challenges of Robotics] , 2007, IEEE Robotics & Automation Magazine.
[12] Uwe Brinkschulte,et al. An Artificial Hormone System for Self-Organizing Real-Time Task Allocation in Organic Middleware , 2008, Organic Computing.
[13] Phil Husbands,et al. A multiple hormone approach to the homeostatic control of conflicting behaviours in an autonomous mobile robot , 2009, 2009 IEEE Congress on Evolutionary Computation.
[14] R L Wilder,et al. Neuroendocrine-immune system interactions and autoimmunity. , 1995, Annual review of immunology.
[15] Wei-Min Shen,et al. Mathematical foundation for hormone-inspired control for self-reconfigurable robotic systems , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..
[16] Wei-Min Shen,et al. Hormone-controlled metamorphic robots , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).
[17] L. Danziger,et al. Mathematical models of endocrine systems , 1957 .
[18] Jonathan Timmis,et al. Artificial Homeostatic System: A Novel Approach , 2005, ECAL.
[19] Jonathan Timmis,et al. Artificial immune systems—today and tomorrow , 2007, Natural Computing.
[20] Liu Yi-Wei,et al. A dynamical model for the pulsatile secretion of the hypothalamo-pituitary-adrenal axis , 1999 .
[21] Wei-Min Shen,et al. Hormone-based control for self-reconfigurable robots , 2000, AGENTS '00.
[22] Victor L. Winter,et al. High Integrity Software , 2001 .
[23] Wei-Min Shen,et al. Hormone-inspired Adaptive Distributed Synchronization of Reconfigurable Robots , 2006, IAS.
[24] Xufa Wang,et al. Notice of RetractionA hormone-modulated emotional model , 2010, 2010 2nd International Conference on Computer Engineering and Technology.
[25] G. Li,et al. A dynamical model of the pulsatile secretion of the hypothalamo-pituitary-thyroid axis. , 1995, Bio Systems.
[26] Lola Cañamero,et al. Hormonal Modulation of Perception in Motivation-Based Action Selection Architectures , 2005 .
[27] Gunnar Tufte,et al. Stochastic Adaptation to Environmental Changes Supported by Endocrine System Principles , 2009, 2009 NASA/ESA Conference on Adaptive Hardware and Systems.
[28] Thilo Streichert,et al. Self-adaptive hardware, software reconfigurable networks: concepts, methods, and implementation , 2007 .
[29] Andrew M. Tyrrell,et al. An endocrinologic-inspired hardware implementation of a multicellular system , 2004, Proceedings. 2004 NASA/DoD Conference on Evolvable Hardware, 2004..
[30] David B. Fogel,et al. Evolutionary Computation: Toward a New Philosophy of Machine Intelligence (IEEE Press Series on Computational Intelligence) , 2006 .
[31] Wei-Min Shen,et al. Hormone-Inspired Self-Organization and Distributed Control of Robotic Swarms , 2004, Auton. Robots.
[32] M. Fikar. DECOUPLING CONTROL , 2011 .
[33] Lei Wang,et al. Lattice-based artificial endocrine system model and its application in robotic swarms , 2011, Science China Information Sciences.
[34] Yongsheng Ding,et al. A Novel Intelligent Controller Based on Modulation of Neuroendocrine System , 2005, ISNN.
[35] D. Dasgupta. Artificial Immune Systems and Their Applications , 1998, Springer Berlin Heidelberg.
[36] A. Castano,et al. The Conro modules for reconfigurable robots , 2002 .
[37] Steffen Staab,et al. Neurons, Viscose Fluids, Freshwater Polyp Hydra-and Self-Organizing Information Systems , 2003, IEEE Intell. Syst..
[38] Liu Bao,et al. A Two-Level Controller Based on the Modulation Principle of Testosterone Release , 2006 .
[39] Wei-Min Shen,et al. Simulating self-organization for multi-robot systems , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.
[40] Jon Timmis,et al. Once More Unto the Breach: Towards Artificial Homeostasis? , 2005 .
[41] Xufa Wang,et al. A hormone-based clustering algorithm in wireless sensor networks , 2010, 2010 2nd International Conference on Computer Engineering and Technology.
[42] Uwe Brinkschulte,et al. Examinating Task Distribution by an Artificial Hormone System Based Middleware , 2008, 2008 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC).
[43] John Strassner,et al. A biologically inspired policy based management system for survivability in autonomic networks , 2007, 2007 Fourth International Conference on Broadband Communications, Networks and Systems (BROADNETS '07).
[44] Shigeki Sugano,et al. Emergence of mind in robots for human interface - research methodology and robot model , 1996, Proceedings of IEEE International Conference on Robotics and Automation.
[45] Halbert White,et al. Artificial Neural Networks: Approximation and Learning Theory , 1992 .
[46] Dipankar Dasgupta,et al. Immunological Computation: Theory and Applications , 2008 .
[47] Lin Wang,et al. Hormone-Inspired Cooperative Control for Multiple UAVs Wide Area Search , 2008, ICIC.
[48] Phil Husbands,et al. Towards the evolution of an artificial homeostatic system , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[49] Wei-Min Shen,et al. Integument pattern formation involves genetic and epigenetic controls: feather arrays simulated by digital hormone models. , 2004, The International journal of developmental biology.
[50] Hirokazu Ihara,et al. Autonomous Decentralized Computer Control Systems , 1984, Computer.
[51] Joanne H. Walker,et al. A performance sensitive hormone-inspired system for task distribution amongst evolving robots , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[52] Myra S. Wilson,et al. Hormone-Inspired Control for Group Task-Distribution , 2007 .
[53] Phil Husbands,et al. Homeostasis and evolution together dealing with novelties and managing disruptions , 2009, Int. J. Intell. Comput. Cybern..
[54] Jin Zhang,et al. Hormone-based Interacting Nodes Discovery with Low Latency and High Topology Consistency , 2007, Third International Conference on Semantics, Knowledge and Grid (SKG 2007).
[55] Rodney A. Brooks,et al. Integrated systems based on behaviors , 1991, SGAR.
[56] Wei-Min Shen,et al. Digital hormone models for self-organization , 2002 .
[57] Hirokazu Ihara,et al. Autonomous decentralized control and its application to the rapid transit system , 1984 .
[58] 程东峰,et al. Wilson病与肝移植 , 2004 .
[59] Uwe Brinkschulte,et al. Towards an Artificial Hormone System for Self-organizing Real-Time Task Allocation , 2007, SEUS.
[60] Phil Husbands,et al. Evolving an Artificial Homeostatic System , 2008, SBIA.
[61] Xia Li,et al. A self-organized algorithm based on digital hormone , 2010, 2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE).
[62] Thomas Schmickl,et al. Analysis and implementation of an Artificial Homeostatic Hormone System: A first case study in robotic hardware , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[63] Simon X. Yang,et al. A Neural Network Approach to Dynamic Task Assignment of Multirobots , 2006, IEEE Transactions on Neural Networks.
[64] Yongsheng Ding,et al. A bio-inspired emergent system for intelligent Web service composition and management , 2007, Knowl. Based Syst..
[65] Hua Han,et al. A decoupling control based on the bi-regulation principle of growth hormone , 2005, 2005 ICSC Congress on Computational Intelligence Methods and Applications.
[66] Huang Guo. Self-Organization Algorithm of Behaviors Based on Endocrine Regulation Mechanism , 2004 .
[67] Uwe Brinkschulte,et al. Analyzing the Behavior of an Artificial Hormone System for Task Allocation , 2009, ATC.
[68] Wei-Min Shen,et al. Hormone-inspired distributed control of self-reconfiguration , 2005, Proceedings. 2005 IEEE Networking, Sensing and Control, 2005..
[69] H. Besedovsky,et al. Immune-neuro-endocrine interactions: facts and hypotheses. , 1996, Endocrine reviews.
[70] D M Keenan,et al. A feedback-controlled ensemble model of the stress-responsive hypothalamo-pituitary-adrenal axis , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[71] Mark Moll,et al. Modular Self-reconfigurable Robot Systems: Challenges and Opportunities for the Future , 2007 .
[72] Leon S Farhy. Modeling of oscillations in endocrine networks with feedback. , 2004, Methods in enzymology.
[73] Andrew M. Tyrrell,et al. Fault Tolerance via Endocrinologic Based Communication for Multiprocessor Systems , 2003, ICES.
[74] Wei-Min Shen,et al. CONRO: Towards Deployable Robots with Inter-Robots Metamorphic Capabilities , 2000, Auton. Robots.
[75] J. Blalock,et al. Associations between the neuroendocrine and immune systems , 1995, Journal of leukocyte biology.
[76] E. Kravitz. Hormonal control of behavior: amines and the biasing of behavioral output in lobsters. , 1988, Science.
[77] Wei-Min Shen,et al. Hormone-inspired adaptive communication and distributed control for CONRO self-reconfigurable robots , 2002, IEEE Trans. Robotics Autom..
[78] Wang Jun-hong. Nonlinear optimized intelligent controller based on modulation of NEI system , 2008 .
[79] Xufa Wang,et al. A hormone based tracking strategy for wireless sensor network , 2009, 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems.
[80] H. Besedovsky,et al. Immune-neuro-endocrine interactions: facts and hypotheses. , 1996, Endocrine reviews.
[81] Andrew M. Tyrrell,et al. Implementation results for a fault-tolerant multicellular architecture inspired by endocrine communication , 2005, 2005 NASA/DoD Conference on Evolvable Hardware (EH'05).
[82] Leandro Nunes de Castro,et al. Recent Developments In Biologically Inspired Computing , 2004 .
[83] Juan R. Rabuñal,et al. Artificial Neural Networks in Real-Life Applications , 2005 .
[84] Wei-Min Shen,et al. Hormones for Self-Reconfigurable Robots , 2000 .
[85] Jonathan Timmis,et al. Timidity: A Useful Emotional Mechanism for Robot Control? , 2003, Informatica.
[86] Aude Billard,et al. Using Hormonal Feedback to Modulate Action Selection in a Competitive Scenario , 2004 .
[87] Daniel Graupe,et al. Principles of Artificial Neural Networks , 2018, Advanced Series in Circuits and Systems.
[88] Feng Zou,et al. A Multi-Objective Endocrine PSO Algorithm , 2009, 2009 First International Conference on Information Science and Engineering.
[89] J. Blalock,et al. Interactions between the Neuroendocrine and Immune Systems: Common Hormones and Receptors , 1987, Immunological reviews.
[90] Xin Yao,et al. Recent Advances in Evolutionary Computation , 2006, Journal of Computer Science and Technology.
[91] Jonathan Timmis,et al. Artificial Immune Systems: A New Computational Intelligence Approach , 2003 .
[92] David B. Fogel,et al. Evolutionary Computation: Towards a New Philosophy of Machine Intelligence , 1995 .
[93] M L Johnson,et al. A Construct of Interactive Feedback Control of the Gh Axis in the Male , 2000 .
[94] H. Besedovsky,et al. Network of immune-neuroendocrine interactions. , 1977, Clinical and experimental immunology.
[95] W. Savino,et al. Immune-neuroendocrine interactions. , 1995, Immunology today.
[96] Kinji Mori,et al. Autonomous Decentralized Systems , 2008, Wiley Encyclopedia of Computer Science and Engineering.
[97] Yongsheng Ding,et al. Intelligent Network Control System Inspired from Neuroendocrine-Immune System , 2009, 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery.