Conferences related to Emergent phenomena

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2023 Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.


2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

FUZZ-IEEE 2021 will represent a unique meeting point for scientists and engineers, both from academia and industry, to interact and discuss the latest enhancements and innovations in the field. The topics of the conference will cover all the aspects of theory and applications of fuzzy sets, fuzzy logic and associated approaches (e.g. aggregation operators such as the Fuzzy Integral), as well as their hybridizations with other artificial and computational intelligence techniques.


ICC 2021 - IEEE International Conference on Communications

IEEE ICC is one of the two flagship IEEE conferences in the field of communications; Montreal is to host this conference in 2021. Each annual IEEE ICC conference typically attracts approximately 1,500-2,000 attendees, and will present over 1,000 research works over its duration. As well as being an opportunity to share pioneering research ideas and developments, the conference is also an excellent networking and publicity event, giving the opportunity for businesses and clients to link together, and presenting the scope for companies to publicize themselves and their products among the leaders of communications industries from all over the world.


2020 59th IEEE Conference on Decision and Control (CDC)

The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.


2020 American Control Conference (ACC)

The ACC is the annual conference of the American Automatic Control Council (AACC, the U.S. national member organization of the International Federation for Automatic Control (IFAC)). The ACC is internationally recognized as a premier scientific and engineering conference dedicated to the advancement of control theory and practice. The ACC brings together an international community of researchers and practitioners to discuss the latest findings in automatic control. The 2020 ACC technical program will

  • 2019 American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2018 Annual American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2017 American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2016 American Control Conference (ACC)

    Control systems theory and practice. Conference topics include biological systems, vehicle dynamics and control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2015 American Control Conference (ACC)

    control theory, technology, and practice

  • 2014 American Control Conference - ACC 2014

    All areas of the theory and practice of automatic control, including but not limited to network control systems, model predictive control, systems analysis in biology and medicine, hybrid and switched systems, aerospace systems, power and energy systems and control of nano- and micro-systems.

  • 2013 American Control Conference (ACC)

    Control systems theory and practice. Conference themes on sustainability, societal challenges for control, smart healthcare systems. Conference topics include biological systems, vehicle dynamics and control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2012 American Control Conference - ACC 2012

    All areas of control engineering and science.

  • 2011 American Control Conference - ACC 2011

    ACC provides a forum for bringing industry and academia together to discuss the latest developments in the area of Automatic Control Systems, from new control theories, to the advances in sensors and actuator technologies, and to new applications areas for automation.

  • 2010 American Control Conference - ACC 2010

    Theory and practice of automatic control

  • 2009 American Control Conference - ACC 2009

    The 2009 ACC technical program will cover new developments related to theory, application, and education in control science and engineering. In addition to regular technical sessions the program will also feature interactive and tutorial sessions and preconference workshops.

  • 2008 American Control Conference - ACC 2008

  • 2007 American Control Conference - ACC 2007

  • 2006 American Control Conference - ACC 2006 (Silver Anniversary)

  • 2005 American Control Conference - ACC 2005

  • 2004 American Control Conference - ACC 2004

  • 2003 American Control Conference - ACC 2003

  • 2002 American Control Conference - ACC 2002

  • 2001 American Control Conference - ACC 2001

  • 2000 American Control Conference - ACC 2000

  • 1999 American Control Conference - ACC '99

  • 1998 American Control Conference - ACC '98

  • 1997 American Control Conference - ACC '97

  • 1996 13th Triennial World Congress of the International Federation of Automatic Control (IFAC)


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Periodicals related to Emergent phenomena

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Biomedical Engineering, IEEE Reviews in

The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.


Computational Intelligence Magazine, IEEE

The IEEE Computational Intelligence Magazine (CIM) publishes peer-reviewed articles that present emerging novel discoveries, important insights, or tutorial surveys in all areas of computational intelligence design and applications.


Evolutionary Computation, IEEE Transactions on

Papers on application, design, and theory of evolutionary computation, with emphasis given to engineering systems and scientific applications. Evolutionary optimization, machine learning, intelligent systems design, image processing and machine vision, pattern recognition, evolutionary neurocomputing, evolutionary fuzzy systems, applications in biomedicine and biochemistry, robotics and control, mathematical modelling, civil, chemical, aeronautical, and industrial engineering applications.


Geoscience and Remote Sensing, IEEE Transactions on

Theory, concepts, and techniques of science and engineering as applied to sensing the earth, oceans, atmosphere, and space; and the processing, interpretation, and dissemination of this information.


Information Theory, IEEE Transactions on

The fundamental nature of the communication process; storage, transmission and utilization of information; coding and decoding of digital and analog communication transmissions; study of random interference and information-bearing signals; and the development of information-theoretic techniques in diverse areas, including data communication and recording systems, communication networks, cryptography, detection systems, pattern recognition, learning, and automata.


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Most published Xplore authors for Emergent phenomena

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Xplore Articles related to Emergent phenomena

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Models of Lava Flow Through the CNN-Based E^3 Architecture

2007 IEEE International Symposium on Circuits and Systems, 2007

Many works investigated the phenomenon of lava flow through numerical models, obtaining excellent results, although most of the models require several approximations. Each model, in fact, has its restrictions: for instance, some of them work only on inclined planes, while others do not consider cooling processes associated to lava flow and so on. Simplifications are often needed to afford the ...


Artificial emotions as emergent phenomena

Proceedings of 1993 2nd IEEE International Workshop on Robot and Human Communication, 1993

Although some researchers claim that emotion is unique to mammals, this paper describes a notion of artificial emotion as a phenomenon resulting from a series of modifications to emergent behaviors generated by a behavior-based artificial intelligence (AI) approach. Such modifications to behaviors are caused by stimuli (including those from humans) which a robot receives from its environment. The paper describes ...


Le Salon, where agents meet actors

Proceedings Eighth IEEE International Conference on Tools with Artificial Intelligence, 1996

The author presents le Salon, a tool for the construction and management of virtual places on the World Wide Web. Users are represented by interface agents that interact with each other and with independent artificial agents. All interactions follow a strict protocol which allows for partial grounding of the exchanged concepts. He believes that such grounding might lead to a ...


Elements of artificial emotion

Proceedings 4th IEEE International Workshop on Robot and Human Communication, 1995

Recent implementations of action selection dynamics (ASD) with learning in situated/embodied form, increased the potential for more timely, dynamic, and vigorous interactions between the autonomous agent and its environment than Maes' (1989) simulation of ASD demonstrated and implied. The most recent implementations of ASD is an attempt to create a framework in which the Urge Theory of M. Toda can ...


Using knowledge representation for agent world model

Proceedings International Conference on Multi Agent Systems (Cat. No.98EX160), 1998

This paper investigates the use of a description logic knowledge representation system, for representing and managing an agent's knowledge of the world for an intentional agent system. An existing application is represented using this mechanism, and the findings are discussed. A number of errors and/or inconsistencies were found in the original implementation using this methodology, indicating that it would be ...


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Educational Resources on Emergent phenomena

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IEEE-USA E-Books

  • Models of Lava Flow Through the CNN-Based E^3 Architecture

    Many works investigated the phenomenon of lava flow through numerical models, obtaining excellent results, although most of the models require several approximations. Each model, in fact, has its restrictions: for instance, some of them work only on inclined planes, while others do not consider cooling processes associated to lava flow and so on. Simplifications are often needed to afford the computational effort required by the problem. Although the increasing computational capability of computers, due to technological progress, can be very useful to quickly resolve differential equations, which are essential to study lava flows, it is still important to take into account alternative solutions to the problem. One of these solutions is the use of parallel analog processors, namely cellular nonlinear networks (CNNs). In particular, the approach used in this work is based on the E^3 architecture (Caponetto et al., 2004) used for the first time to study lava flows. Two different models are proposed.

  • Artificial emotions as emergent phenomena

    Although some researchers claim that emotion is unique to mammals, this paper describes a notion of artificial emotion as a phenomenon resulting from a series of modifications to emergent behaviors generated by a behavior-based artificial intelligence (AI) approach. Such modifications to behaviors are caused by stimuli (including those from humans) which a robot receives from its environment. The paper describes a series of experiments to generate and test artificial emotion using subsumption architecture (SA) robot platforms developed by the Massachusetts Institute of Technology (MIT). A "hormone mechanism", which is part of the behavior definition language, was used to generate artificial emotion. In addition, the action selection dynamics (ASD) paradigm proposed by Pattie Maes as a way to implement computational reflection was also tried. The latter is expected to permit the authors to investigate more profound ontological issues associated with artificial emotion as part of the experiments in computational reflection.<<ETX>>

  • Le Salon, where agents meet actors

    The author presents le Salon, a tool for the construction and management of virtual places on the World Wide Web. Users are represented by interface agents that interact with each other and with independent artificial agents. All interactions follow a strict protocol which allows for partial grounding of the exchanged concepts. He believes that such grounding might lead to a more successful integration of artificial agents in environments designed for human actors.

  • Elements of artificial emotion

    Recent implementations of action selection dynamics (ASD) with learning in situated/embodied form, increased the potential for more timely, dynamic, and vigorous interactions between the autonomous agent and its environment than Maes' (1989) simulation of ASD demonstrated and implied. The most recent implementations of ASD is an attempt to create a framework in which the Urge Theory of M. Toda can be investigated. It produced improvements in implementational efficiency and theoretical accuracy of ASD. The ASD network gets inputs from several different sensors (including vision), and supports learning to change inter-agent network relationships. Emotional states such as fear, curiosity, affection-seeking, hunger, joy, irritation, and anger are supported as emergent phenomena. The robot's on-board voice synthesis unit announces its internal states.

  • Using knowledge representation for agent world model

    This paper investigates the use of a description logic knowledge representation system, for representing and managing an agent's knowledge of the world for an intentional agent system. An existing application is represented using this mechanism, and the findings are discussed. A number of errors and/or inconsistencies were found in the original implementation using this methodology, indicating that it would be useful for consistency management. In addition there was a straight forward mapping from the domain knowledge to the knowledge representation system. An added benefit was a simplification of the plans required by the agent system.

  • An Artificial Market Approach to Institutional Design for Thin Markets

    Supply of liquidity, i.e., opportunity of trading, is one of the central issues in institutional design of financial markets. Because of the collective and emergent nature of the behavior of the market, bottom-up approach using agent-based simulation of the market is a promising way for discussion of the institutional design of the market. Such an approach is called 'artificial market'. Concerning the supply of liquidity, introduction of the quote-driven system instead of the order-driven system commonly used in Japanese stock markets can be one of the candidates. Based on the activity of developing artificial futures market called U-Mart, the present paper discusses research program of comparative study of order-driven and quote-driven markets from the viewpoint of supply of liquidity in financial market

  • Research challenges of autonomic computing: an industry perspective

    None

  • Turning with the Others: Novel Transitions in an SPP Model with Coupling of Accelerations

    Collective motion of living beings (e.g. fish schools, bird flocks, bacterial colonies) exhibits a large variety of emergent phenomena. We consider a self- propelled particle (SPP) model of collective motion in three dimensions, which is a generalized version of the original SPP model. By extending the factors influencing the ordering, the model assumes that the movement of particles depends on both the velocity and acceleration of neighboring particles.

  • Self-Fulfillment of Expectation in a Country Fair Model

    Inspired by the El Farol bar problem, this paper puts forward a country fair problem. Agents take different actions in the two problems: they prefer to stay at the minority side in the bar problem, while they prefer to stay at the majority side in this fair problem. These lead to different emergent phenomena under these two models: self destroying of expectation and self fulfillment of expectation. We have checked the long-time behaviour of the two models as indicated by the convergence of the mean attendance in different parameter setting. We find action strategy is indeed a crucial factor to determine the consistency of agents' expectations.

  • Emergence and artificial life

    This paper focuses on emergent phenomena and the utilization of computer simulations, basically agent-based modeling to understand emergent phenomena. Agent-based simulation models have a promising future in the social sciences, from management to economies, political science, sociology and anthropology. This paper attempts to realize their full scientific potential by reviewing recent applications in engineering management and addresses the set of challenges confronted by this method. Common methodology for constructing an agent-based model is also discussed with the aim of highlighting how artificial life and management can be brought together to develop decision making aid tools.



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