IEEE Organizations related to Collective Intelligence

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Conferences related to Collective Intelligence

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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.


2020 57th ACM/ESDA/IEEE Design Automation Conference (DAC)

The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2022 59th ACM/ESDA/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2021 58th ACM/ESDA/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2019 56th ACM/ESDA/IEEE Design Automation Conference (DAC)

    EDA (Electronics Design Automation) is becoming ever more important with the continuous scaling of semiconductor devices and the growing complexities of their use in circuits and systems. Demands for lower-power, higher-reliability and more agile electronic systems raise new challenges to both design and design automation of such systems. For the past five decades, the primary focus of research track at DAC has been to showcase leading-edge research and practice in tools and methodologies for the design of circuits and systems.

  • 2018 55th ACM/ESDA/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2017 54th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2016 53nd ACM/EDAC/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2015 52nd ACM/EDAC/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2014 51st ACM/EDAC/IEEE Design Automation Conference (DAC)

    DAC Description for TMRF The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading

  • 2013 50th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 session on design methodologies and EDA tool developments, keynotes, panels, plus User Track presentations. A diverse worldwide community representing more than 1,000 organization attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2012 49th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The Design Automation Conference (DAC) is the premier event for the design of electronic circuits and systems, and for EDA and silicon solutions. DAC features a wide array of technical presentations plus over 200 of the leading electronics design suppliers

  • 2011 48th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The Design Automation Conference is the world s leading technical conference and tradeshow on electronic design and design automation. DAC is where the IC Design and EDA ecosystem learns, networks, and does business.

  • 2010 47th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The Design Automation Conference (DAC) is the premier event for the design of electronic circuits and systems, and for EDA and silicon solutions. DAC features a wide array of technical presentations plus over 200 of the leading electronics design suppliers.

  • 2009 46th ACM/EDAC/IEEE Design Automation Conference (DAC)

    DAC is the premier event for the electronic design community. DAC offers the industry s most prestigious technical conference in combination with the biggest exhibition, bringing together design, design automation and manufacturing market influencers.

  • 2008 45th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The Design Automation Conference (DAC) is the premier event for the design of electronic circuits and systems, and for EDA and silicon solutions. DAC features a wide array of technical presentations plus over 250 of the leading electronics design suppliers.

  • 2007 44th ACM/IEEE Design Automation Conference (DAC)

    The Design Automation Conference (DAC) is the premier Electronic Design Automation (EDA) and silicon solution event. DAC features over 50 technical sessions covering the latest in design methodologies and EDA tool developments and an Exhibition and Demo Suite area with over 250 of the leading EDA, silicon and IP Providers.

  • 2006 43rd ACM/IEEE Design Automation Conference (DAC)

  • 2005 42nd ACM/IEEE Design Automation Conference (DAC)

  • 2004 41st ACM/IEEE Design Automation Conference (DAC)

  • 2003 40th ACM/IEEE Design Automation Conference (DAC)

  • 2002 39th ACM/IEEE Design Automation Conference (DAC)

  • 2001 38th ACM/IEEE Design Automation Conference (DAC)

  • 2000 37th ACM/IEEE Design Automation Conference (DAC)

  • 1999 36th ACM/IEEE Design Automation Conference (DAC)

  • 1998 35th ACM/IEEE Design Automation Conference (DAC)

  • 1997 34th ACM/IEEE Design Automation Conference (DAC)

  • 1996 33rd ACM/IEEE Design Automation Conference (DAC)


2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.


ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.


2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA)

Artificial Intelligence, Control and Systems, Cyber-physical Systems, Energy and Environment, Industrial Informatics and Computational Intelligence, Robotics, Network and Communication Technologies, Power Electronics, Signal and Information Processing


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Periodicals related to Collective Intelligence

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Most published Xplore authors for Collective Intelligence

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Xplore Articles related to Collective Intelligence

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The Supply Chain Network on Cloud Manufacturing Environment Based on COIN Model with Q-Learning Algorithm

2017 5th International Conference on Enterprise Systems (ES), 2017

Cloud manufacturing is applied to a lot of fields to innovate more advanced development structure for industrial 4.0 while the supply chain network in cloud manufacturing context displays more transparent information communication with each agent. At the same time, each participant in this kind of environment can make decisions refer more information and adapt more advanced algorithm to raise the ...


Towards collective intelligence

2018 IEEE 16th World Symposium on Applied Machine Intelligence and Informatics (SAMI), 2018

The underlying idea of the research presented here is connecting the intelligent entities - either living or artificial - into systems that act as a unit and that are smarter than their smartest individual elements. Collective decision making is common in human society. Human is a social being that conforms to the group or society. Decisions taken collectively may be ...


Personal Partner Agents for Cooperative Intelligence

2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2019

We advocate cooperative intelligence (CI) that achieves its goals in cooperating with other agents, particularly human beings, with limited resources but in complex and dynamic environments. CI is important because it delivers better performances in achieving a broad range of tasks; furthermore, cooperativeness is key to human intelligence, and the processes of cooperation can contribute to help people gain several ...


Towards Systematic Engineering of Collaborative Heterogeneous Robotic Systems

2019 IEEE/ACM 2nd International Workshop on Robotics Software Engineering (RoSE), 2019

Collaborative heterogeneous robotic systems are distributed and interconnected multi-robot systems whose members can have different capabilities and can perform specialised tasks. Existing engineering processes and tools facilitate the development of various robotic aspects including kinematics, sensing and, architecture, through high-level design and low-level code generation. Although there are several frameworks and middleware, providing infrastructure for the development of single-robot and ...


The Robustness of Outputs With Respect to Disturbances for Boolean Control Networks

IEEE Transactions on Neural Networks and Learning Systems, None

In this brief, we investigate the robustness of outputs with respect to disturbances for Boolean control networks (BCNs) by semi-tensor product (STP) of matrices. First, BCNs are converted into the corresponding algebraic forms by STP, then two sufficient conditions for the robustness are derived. Moreover, the corresponding permutation system and permutation graph are constructed. It is proven that if there ...


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Educational Resources on Collective Intelligence

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IEEE-USA E-Books

  • The Supply Chain Network on Cloud Manufacturing Environment Based on COIN Model with Q-Learning Algorithm

    Cloud manufacturing is applied to a lot of fields to innovate more advanced development structure for industrial 4.0 while the supply chain network in cloud manufacturing context displays more transparent information communication with each agent. At the same time, each participant in this kind of environment can make decisions refer more information and adapt more advanced algorithm to raise the profit and reduce the cost. In this paper, we use COIN (collective intelligence) model to simulate a dynamic market with basic four roles and access the Q-learning algorithm to manage the supply chain. We conclude that the Q-learning used in retailers will lead the trendy of regular performance to a stable state although the time it cost to reach the optimal state is not always short.

  • Towards collective intelligence

    The underlying idea of the research presented here is connecting the intelligent entities - either living or artificial - into systems that act as a unit and that are smarter than their smartest individual elements. Collective decision making is common in human society. Human is a social being that conforms to the group or society. Decisions taken collectively may be better or worse than decisions taken by a selected individual and we search for methods of making better collective decisions. Our world is abundant with opinions and some of these were even produced by machines. We focus here on cooperation of intelligent entities in hybrid collectives. The application domains are aggregation of opinions using methods of computational intelligence and adaptive computer games in rehabilitation of motoric impairments. The reader is introduced to the state of the art in the fields of collective intelligence and computer aided rehabilitation. We present our research in the relevant fields and we present the idea of using collective intelligence in systems for adaptive rehabilitation. The long term goal is the development of a system for adaptive rehabilitation of multiple patients that utilizes computer games, learning algorithms and collective intelligence to achieve the maximal improvement in the physical and psychological state of the patients.

  • Personal Partner Agents for Cooperative Intelligence

    We advocate cooperative intelligence (CI) that achieves its goals in cooperating with other agents, particularly human beings, with limited resources but in complex and dynamic environments. CI is important because it delivers better performances in achieving a broad range of tasks; furthermore, cooperativeness is key to human intelligence, and the processes of cooperation can contribute to help people gain several life values. This paper discusses elements in CI and our research approach to CI. We identify the four aspects of CI: adaptive intelligence, collective intelligence, coordinative intelligence, and collaborative intelligence. We also take an approach that focuses on the implementation of coordinative intelligence in the form of personal partner agents (PPAs) and consider the design of our robotic research platform to physically realize PPAs.

  • Towards Systematic Engineering of Collaborative Heterogeneous Robotic Systems

    Collaborative heterogeneous robotic systems are distributed and interconnected multi-robot systems whose members can have different capabilities and can perform specialised tasks. Existing engineering processes and tools facilitate the development of various robotic aspects including kinematics, sensing and, architecture, through high-level design and low-level code generation. Although there are several frameworks and middleware, providing infrastructure for the development of single-robot and homogeneous multi-robot applications, there is lack of systematic methods and tools supporting the engineering of heterogeneous multi-robot systems and the analysis of collaborative intelligence. In this paper, we present our vision for a framework that supports the specification of collaborative heterogeneous robotic systems, generation of platform-specific code, and efficient exploration and exercise of collective intelligence algorithms.

  • The Robustness of Outputs With Respect to Disturbances for Boolean Control Networks

    In this brief, we investigate the robustness of outputs with respect to disturbances for Boolean control networks (BCNs) by semi-tensor product (STP) of matrices. First, BCNs are converted into the corresponding algebraic forms by STP, then two sufficient conditions for the robustness are derived. Moreover, the corresponding permutation system and permutation graph are constructed. It is proven that if there exist controllers such that the outputs of permutation systems are robust with respect to disturbances, then there must also exist controllers such that the outputs of the corresponding original systems achieve robustness with respect to disturbances. One effective method is proposed to construct controllers to achieve robustness. Examples are also provided to illustrate the correctness of the obtained results.

  • Theoretical Model and Effects Analysis of Collective Synergistic Learning

    Based on the e-Education framework of Collective Synergistic Learning, this study builds a Collective Synergistic Reading model in terms of reading ability level, learning process, and technical-supported learning activity. In this model, cognitive reading, aesthetic reading and transfer reading are considered in learning contents. They are implemented through four processes on the Learning Cell platform, including distribution, communication, co- construction, and convergence of collective wisdom. A content analysis method is used to analyze the level of collective knowledge building and reading ability. Experimental results verify the effectiveness of the proposed collective synergistic learning model.

  • Core time mechanism for managing large-scale internet-based discussions on COLLAGREE

    Much attention has been focused on the Internet-based discussions of crowd. In our previous work, we developed an open Web-based forum system called COLLAGREE that has facilitator support functions and deployed. We clarified the importance of a COLLAGREE-type Internet based town meeting and the facilitator role, which is one mechanism that can manage inflammatory language and encourage positive discussions. However, we found a problem that the number of posts and views decreased with a time lapse. In our work, we propose the core time mechanism to solve the problem. The core time mechanism provides setting of time for facilitator and participant to gather and discuss. By presenting the core time to the participants, there is expectation to encourage participation of discussion at that timing. We conducted a large- scale experiment for Aichi prefecture in 2016. We found that core time mechanism effects that discussion was continuously activated until the end.

  • Poster: Using Consensus to Automatically Infer Post-conditions

    Formal behavioral specifications help ensure the correctness of programs. Writing such specifications by hand however is time-consuming and requires substantial expertise. Previous studies have shown how to use a notion of consensus to automatically infer preconditions for APIs by using a large set of projects. In this work, we propose a similar idea of consensus to automatically infer post-conditions for popular APIs. We propose two new algorithms for mining potential post-conditions from API client code. The first algorithm looks for guarded post-conditions that test the value returned from the API and throws an exception. The second algorithm looks for values flowing from the API to another API with already known preconditions, which recommends them as post-conditions of the first API.

  • Harnessing Crowds to Avert or Mitigate Acts Terrorism: A Collective Intelligence Call for Action

    Averting acts of terrorism through non-traditional means of surveillance and control: the use of crowd sourcing (collective intelligence) and the development of a new class of anti-terror mobile apps. The proposed class of anti-terrorist apps is based on two dimensions: the individual and the central. By individual, we mean the individual app user and by central we mean a central organizational locus of coordination and control in the fight against terrorism. Such a central locus could be a governmental agency or a national/international security organization active in the fight against terrorism.

  • Learner centric and adaptive E-library based on learner feedback model

    With the huge data flow in the E-library, nowadays performance of the e-libraries can't be judged with the correctness of the search results shown to the Learner for a given query but also with the level of acceptance of the Learner. In this paper, we envisage a Personalized E-library, which will not only quench the knowledge thirst of the learner but will also consider his personal choice, competency and environment. The E-library will be user oriented and will estimate the utility of every resource, intended to be shown in the search list for the learner. The judgment is based on two metrics Level and Like. It also provides a feedback system for modifying the metrics with the user response. It manages the effect of expert biasing and also diversity of collective intelligence.



Standards related to Collective Intelligence

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Jobs related to Collective Intelligence

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