Cybernetics

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Cybernetics is the interdisciplinary study of the structure of regulatory systems. (Wikipedia.org)






Conferences related to Cybernetics

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2014 IEEE International Conference on Systems, Man and Cybernetics - SMC

SMC2014 targets advances in Systems Science and Engineering, Human-Machine Systems, and Cybernetics involving state-of-art technologies interacting with humans to provide an enriching experience and thereby improving the quality of lives including theories, methodologies, and emerging applications.


2013 11th International Conference on ICT and Knowledge Engineering (ICT & Knowledge Engineering)

The 2013 International Conference on ICT and Knowledge Engineering provides an international forum that brings together those actively involved in areas of interest to the ICT/Knowledge Engineering Systems and other related fields, to report on up-to-the-minute innovations and developments, to summarize the state-of-the-art, and to exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics.

  • 2011 9th International Conference on ICT and Knowledge Engineering (ICT & Knowledge Engineering 2011) - Conference postponed to 2012

    The international conference has been held annually since 2003 with the cooperative effort for a number of organizations and universities in Thailand and other countries. It is aimed to promote research in ICT and Knowledge Engineering by bringing together researchers and practitioners in the field to exchange ideas, to report on up-to-the-minute innovations and developments, and to present results from research on ICT and Knowledge Engineering areas and various related fields.

  • 2012 10th International Conference on ICT and Knowledge Engineering (ICT & Knowledge Engineering 2012)

    The 10th International Conference on IEEE ICT and Knowledge Engineering 2012, jointly organized by Asia and Pacific Distance Multimedia Education Network (APDMEN), Siam University, and IEEE Thailand Section. The 2012 International Conference on ICT and Knowledge Engineering provides an international forum that brings together those actively involved in areas of interest to the ICT/Knowledge Engineering Systems and other related fields, to report on up-to-the-minute innovations and developments, to summarize the state-of-the-art, and to exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics.

  • 2010 8th International Conference on ICT and Knowledge Engineering (ICT & Knowledge Engineering 2010)

    The 2010 International Conference on ICT and Knowledge Engineering provides an international forum that brings together those actively involved in areas of interest to the ICT/Knowledge Engineering Systems and other related fields, to report on up-to-the-minute innovations and developments, to summarize the state-of-the-art, and to exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics.

  • 2009 7th International Conference on ICT and Knowledge Engineering (ICT & Knowledge Engineering 2009)

    The 2009 International Conference on ICT and Knowledge Engineering provides an international forum that brings together those actively involved in areas of interest to the ICT and Knowledge Engineering Systems, to report on up-to-the-minute innovations and developments, to summarize the state-of-the-art, and to exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics.


2013 6th International Conference on Robotics, Automation and Mechatronics (RAM)

The goal of the RAM 2013 is to bring together experts from the field of robotics, automation and mechatronics to discuss on the state-of-the-art and to present new research findings and perspectives of future developments.

  • 2011 IEEE 5th International Conference on Robotics, Automation and Mechatronics (RAM)

    The goal of the RAM 2011 is to bring together experts from the field of robotics, automation and mechatronics to discuss on the state-of-the-art and to present new research findings and perspectives of future developments with respect to the conference themes. The RAM 2011 is held in conjunction with the IEEE International Conference on Cybernetics and Intelligent Systems (CIS 2011)

  • 2008 IEEE Conference on Robotics, Automation and Mechatronics (RAM)

    The CIS-RAM 2008 is to bring together experts from the field of cybernetics, intelligent systems robotics, automation, and mechatronics to present and discuss new research findings and perspectives of future developments with respect to the conference themes.


2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

HRI is a single -track, highly selective annual conference that showcases the very best research and thinking in human-robot interaction. HRI is inherently interdisciplinary and multidisciplinary, reflecting work from researchers in robotics, psychology, cognitive science, HCI, human factors, artificial intelligence, organizational behavior, anthropology, and many other fields.

  • 2012 7th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    HRI is a single-track, highly selective annual conference that showcases the very best research and thinking in human-robot interaction. HRI is inherently interdisciplinary and multidisciplinary, reflecting work from researchers in robotics, psychology, cognitive science, HCI, human factors, artificial intelligence, organizational behavior, anthropology, and many other fields.

  • 2011 6th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    Robot companions Lifelike robots Assistive (health & personal care) robotics Remote robots Mixed initiative interaction Multi-modal interaction Long-term interaction with robots Awareness and monitoring of humans Task allocation and coordination Autonomy and trust Robot-team learning User studies of HRI Experiments on HRI collaboration Ethnography and field studies HRI software architectures HRI foundations Metrics for teamwork HRI group dynamics.

  • 2010 5th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    TOPICS: Robot companions, Lifelike robots, Assistive (health & personal care) robotics, Remote robots, Mixed initiative interaction, Multi-modal interaction, Long-term interaction with robots, Awareness and monitoring of humans, Task allocation and coordination, Autonomy and trust, Robot-team learning, User studies of HRI, Experiments on HRI collaboration, Ethnography and field studies, HRI software architectures

  • 2009 4th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    * Robot companions * Lifelike robots * Assistive (health & personal care) robotics * Remote robots * Mixed initiative interaction * Multi-modal interaction * Long-term interaction with robots * Awareness and monitoring of humans * Task allocation and coordination * Autonomy and trust * Robot-team learning * User studies of HRI * Experiments on HRI collaboration * Ethnography and field studies * HRI software architectures


2013 IEEE 10th International Conference on Networking, Sensing and Control (ICNSC)

The main theme of the conference is Technology for efficient green networks . It will provide a remarkable opportunity for the academic and industrial communities to address new challenges and share solutions, and discuss future research directions.

  • 2012 9th IEEE International Conference on Networking, Sensing and Control (ICNSC)

    This conference will provide a remarkable opportunity for the academic and industrial community to address new challenges and share solutions, and discuss future research directions in the area of intelligent transportation systems and networks as well other areas of networking, sensing and control. It will feature plenary speeches, industrial panel sessions, funding agency panel sessions, interactive sessions, and invited/special sessions. Contributions are expected from academia, industry, and government agencies.

  • 2011 IEEE International Conference on Networking, Sensing and Control (ICNSC)

    The main theme of the conference is Next Generation Infrastructures . Infrastructures are the backbone of the economy and society. Especially the network bound infrastructures operated by public utilities and network industries provide essential services that are enabling for almost every economic and social activity. The crucial role of the infrastructure networks for energy and water supply, transportation of people and goods, and provision of telecommunication and information services.

  • 2010 International Conference on Networking, Sensing and Control (ICNSC)

    Provide a remarkable opportunity for the academic and industrial community to address new challenges and share solutions, and discuss future research directions.

  • 2009 International Conference on Networking, Sensing and Control (ICNSC)

    The main theme of the conference is advanced technologies for safety and functional maintenance. The real challenge is to obtain advanced control technology for safety and management technology and to construct an information system to share information on safetytechnology and on investigated accidents.


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Periodicals related to Cybernetics

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Education, IEEE Transactions on

Educational methods, technology, and programs; history of technology; impact of evolving research on education.


Systems, Man and Cybernetics, Part A, IEEE Transactions on

Systems engineering, including efforts that involve issue formnaulations, issue analysis and modeling, and decision making and issue interpretation at any of the life-cycle phases associated with the definition, development, and implementation of large systems. It will also include efforts that relate to systems management, systems engineering processes and a variety of systems engineering methods such as optimization, modeling and simulation. ...


Systems, Man, and Cybernetics, Part B, IEEE Transactions on

The scope of the IEEE Transactions on Systems, Man and Cybernetics Part B: Cybernetics includes computational approaches to the field of cybernetics. Specifically, the transactions welcomes papers on communication and control across machines or between machines, humans, and organizations. The scope of Part B includes such areas as computational intelligence, computer vision, neural networks, genetic algorithms, machine learning, fuzzy systems, ...


Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on

Applications, review, and tutorial papers within the scope of the Systems, Man and Cybernetics Society. Currently, this covers: (1) Integration of the theories of communication, control cybernetics, stochastics, optimization and system structure towards the formulation of a general theory of systems; (2) Development of systems engineering technology including problem definition methods, modeling, and stimulation, methods of systems experimentation, human factors ...




Xplore Articles related to Cybernetics

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Trajectory Learning for Robot Programming by Demonstration Using Hidden Markov Model and Dynamic Time Warping

Aleksandar Vakanski; Iraj Mantegh; Andrew Irish; Farrokh Janabi-Sharifi IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2012

The main objective of this paper is to develop an efficient method for learning and reproduction of complex trajectories for robot programming by demonstration. Encoding of the demonstrated trajectories is performed with hidden Markov model, and generation of a generalized trajectory is achieved by using the concept of key points. Identification of the key points is based on significant changes ...


Rough set model based on possibility measure

Fa-Chao Li; Li-Na An 2009 International Conference on Machine Learning and Cybernetics, 2009

Rough sets theory (RS) is a new tool for processing fuzzy and uncertain knowledge, and has already been applied to many areas successfully. In this paper, by analyzing the basic characteristic of rough set, for the deficiency that the existing rough set model can't effectively solve data reduction and knowledge discovery with possibility feature, we propose rough sets model based ...


Table of contents

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2014

Presents the table of contents for this issue of the periodical.


Statistical Mechanics-Inspired Modeling of Heterogeneous Packet Transmission in Communication Networks

Soumik Sarkar; Kushal Mukherjee; Asok Ray; Abhishek Srivastav; Thomas A. Wettergren IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2012

This paper presents the qualitative nature of communication network operations as abstraction of typical thermodynamic parameters (e.g., order parameter, temperature, and pressure). Specifically, statistical mechanics-inspired models of critical phenomena (e.g., phase transitions and size scaling) for heterogeneous packet transmission are developed in terms of multiple intensive parameters, namely, the external packet load on the network system and the packet transmission ...


The Approximation Scheme in Equilibrium Theory

Yan-kui Liu; Man Wang 2006 International Conference on Machine Learning and Cybernetics, 2006

The purpose of this paper is to deal with the modes of convergence in equilibrium theory for fuzzy random variables as well as their applications in approximation scheme. First, the criteria for convergence almost sure, convergence almost uniform, and convergence in equilibrium chance are characterized by equilibrium chance. Then, the relations among various types of convergence are established. Finally, the ...


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Educational Resources on Cybernetics

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eLearning

Trajectory Learning for Robot Programming by Demonstration Using Hidden Markov Model and Dynamic Time Warping

Aleksandar Vakanski; Iraj Mantegh; Andrew Irish; Farrokh Janabi-Sharifi IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2012

The main objective of this paper is to develop an efficient method for learning and reproduction of complex trajectories for robot programming by demonstration. Encoding of the demonstrated trajectories is performed with hidden Markov model, and generation of a generalized trajectory is achieved by using the concept of key points. Identification of the key points is based on significant changes ...


Rough set model based on possibility measure

Fa-Chao Li; Li-Na An 2009 International Conference on Machine Learning and Cybernetics, 2009

Rough sets theory (RS) is a new tool for processing fuzzy and uncertain knowledge, and has already been applied to many areas successfully. In this paper, by analyzing the basic characteristic of rough set, for the deficiency that the existing rough set model can't effectively solve data reduction and knowledge discovery with possibility feature, we propose rough sets model based ...


Table of contents

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2014

Presents the table of contents for this issue of the periodical.


Statistical Mechanics-Inspired Modeling of Heterogeneous Packet Transmission in Communication Networks

Soumik Sarkar; Kushal Mukherjee; Asok Ray; Abhishek Srivastav; Thomas A. Wettergren IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2012

This paper presents the qualitative nature of communication network operations as abstraction of typical thermodynamic parameters (e.g., order parameter, temperature, and pressure). Specifically, statistical mechanics-inspired models of critical phenomena (e.g., phase transitions and size scaling) for heterogeneous packet transmission are developed in terms of multiple intensive parameters, namely, the external packet load on the network system and the packet transmission ...


The Approximation Scheme in Equilibrium Theory

Yan-kui Liu; Man Wang 2006 International Conference on Machine Learning and Cybernetics, 2006

The purpose of this paper is to deal with the modes of convergence in equilibrium theory for fuzzy random variables as well as their applications in approximation scheme. First, the criteria for convergence almost sure, convergence almost uniform, and convergence in equilibrium chance are characterized by equilibrium chance. Then, the relations among various types of convergence are established. Finally, the ...


More eLearning Resources

IEEE-USA E-Books

  • Architectures, Organizational Principles, and Functional Approaches

    These sixty contributions from researchers in ethology, ecology, cybernetics, artificial intelligence, robotics, and related fields delve into the behaviors and underlying mechanisms that allow animals and, potentially, robots to adapt and survive in uncertain environments. They focus in particular on simulation models in order to help characterize and compare various organizational principles or architectures capable of inducing adaptive behavior in real or artificial animals.Jean-Arcady Meyer is Director of Research at CNRS, Paris. Stewart W. Wilson is a Scientist at The Rowland Institute for Science, Cambridge, Massachusetts.

  • The Cybernetician

    This chapter contains sections titled: 6.1 Introduction, 6.2 Cybernetics, the Unity of Science, and Mathematical Biology, 6.3 Interdisciplinarity and the Macy Meetings: Official Rationale, 6.4 The Macy Meetings and McCulloch's Cybernetic Practices, 6.5 Second Macy Meeting and Beyond: Barriers and Disunity, 6.6 "How We Know Universals" and "Why the Mind Is in the Head", 6.6 Responses to McCulloch's Cybernetics, 6.7 Conclusions

  • Animats in Education

    These sixty contributions from researchers in ethology, ecology, cybernetics, artificial intelligence, robotics, and related fields delve into the behaviors and underlying mechanisms that allow animals and, potentially, robots to adapt and survive in uncertain environments. They focus in particular on simulation models in order to help characterize and compare various organizational principles or architectures capable of inducing adaptive behavior in real or artificial animals.Jean-Arcady Meyer is Director of Research at CNRS, Paris. Stewart W. Wilson is a Scientist at The Rowland Institute for Science, Cambridge, Massachusetts.

  • Low-Density Separation

    In the field of machine learning, semi-supervised learning (SSL) occupies the middle ground, between supervised learning (in which all training examples are labeled) and unsupervised learning (in which no label data are given). Interest in SSL has increased in recent years, particularly because of application domains in which unlabeled data are plentiful, such as images, text, and bioinformatics. This first comprehensive overview of SSL presents state-of-the-art algorithms, a taxonomy of the field, selected applications, benchmark experiments, and perspectives on ongoing and future research.Semi- Supervised Learning first presents the key assumptions and ideas underlying the field: smoothness, cluster or low-density separation, manifold structure, and transduction. The core of the book is the presentation of SSL methods, organized according to algorithmic strategies. After an examination of generative models, the book describes algorithms that implement the low- density separation assumption, graph-based methods, and algorithms that perform two-step learning. The book then discusses SSL applications and offers guidelines for SSL practitioners by analyzing the results of extensive benchmark experiments. Finally, the book looks at interesting directions for SSL research. The book closes with a discussion of the relationship between semi-supervised learning and transduction.Olivier Chapelle and Alexander Zien are Research Scientists and Bernhard Schölkopf is Professor and Director at the Max Planck Institute for Biological Cybernetics in Tÿbingen. Schölkopf is coauthor of Learning with Kernels (MIT Press, 2002) and is a coeditor of Advances in Kernel Methods: Support Vector Learning (1998), Advances in Large- Margin Classifiers (2000), and Kernel Methods in Computational B iology (2004), all published by The MIT Press.</P

  • Collective Behaviors

    These sixty contributions from researchers in ethology, ecology, cybernetics, artificial intelligence, robotics, and related fields delve into the behaviors and underlying mechanisms that allow animals and, potentially, robots to adapt and survive in uncertain environments. They focus in particular on simulation models in order to help characterize and compare various organizational principles or architectures capable of inducing adaptive behavior in real or artificial animals.Jean-Arcady Meyer is Director of Research at CNRS, Paris. Stewart W. Wilson is a Scientist at The Rowland Institute for Science, Cambridge, Massachusetts.

  • Back Matter

    It has been the opinion of many that Wiener will be remembered for his Extrapolation long after Cybernetics is forgotten. Indeed few computer-science students would know today what cybernetics is all about, while every communication student knows what Wiener's filter is. The work was circulated as a classified memorandum in 1942, as it was connected with sensitive war- time efforts to improve radar communication. This book became the basis for modern communication theory, by a scientist considered one of the founders of the field of artifical intelligence. Combining ideas from statistics and time- series analysis, Wiener used Gauss's method of shaping the characteristic of a detector to allow for the maximal recognition of signals in the presence of noise. This method came to be known as the "Wiener filter."

  • The Ratio Club: A Hub of British Cybernetics

    This chapter contains sections titled: The Members, Genesis of the Club, The Way Forward, Club Meetings, Themes, Interdisciplinarity, The Legacy of the Club, Acknowledgments, References

  • Perception and Motor Control

    These sixty contributions from researchers in ethology, ecology, cybernetics, artificial intelligence, robotics, and related fields delve into the behaviors and underlying mechanisms that allow animals and, potentially, robots to adapt and survive in uncertain environments. They focus in particular on simulation models in order to help characterize and compare various organizational principles or architectures capable of inducing adaptive behavior in real or artificial animals.Jean-Arcady Meyer is Director of Research at CNRS, Paris. Stewart W. Wilson is a Scientist at The Rowland Institute for Science, Cambridge, Massachusetts.

  • Economic Cybernetics and Its Limits

    This chapter contains sections titled: The Many Pathways and Pressures to Reform, Orthodox, Liberal, and Cybernetic Economists, Vertical Bargaining and Other Organizational Dissonance in the Soviet Command Economy, Conclusion

  • Contributors

    In the field of machine learning, semi-supervised learning (SSL) occupies the middle ground, between supervised learning (in which all training examples are labeled) and unsupervised learning (in which no label data are given). Interest in SSL has increased in recent years, particularly because of application domains in which unlabeled data are plentiful, such as images, text, and bioinformatics. This first comprehensive overview of SSL presents state-of-the-art algorithms, a taxonomy of the field, selected applications, benchmark experiments, and perspectives on ongoing and future research.Semi- Supervised Learning first presents the key assumptions and ideas underlying the field: smoothness, cluster or low-density separation, manifold structure, and transduction. The core of the book is the presentation of SSL methods, organized according to algorithmic strategies. After an examination of generative models, the book describes algorithms that implement the low- density separation assumption, graph-based methods, and algorithms that perform two-step learning. The book then discusses SSL applications and offers guidelines for SSL practitioners by analyzing the results of extensive benchmark experiments. Finally, the book looks at interesting directions for SSL research. The book closes with a discussion of the relationship between semi-supervised learning and transduction.Olivier Chapelle and Alexander Zien are Research Scientists and Bernhard Schölkopf is Professor and Director at the Max Planck Institute for Biological Cybernetics in Tÿbingen. Schölkopf is coauthor of Learning with Kernels (MIT Press, 2002) and is a coeditor of Advances in Kernel Methods: Support Vector Learning (1998), Advances in Large- Margin Classifiers (2000), and Kernel Methods in Computational B iology (2004), all published by The MIT Press.</P



Standards related to Cybernetics

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Jobs related to Cybernetics

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