Live from Dublin

IlliGAL director David E. Goldberg is tweeting live from the IEEE Conference on Transforming Engineering Education at Dublin.  Right now there is a panel discussing whether transformation is needed and if so what needs to be transformed.  Follow the thread … Continue reading →

IlliGAL director David E. Goldberg is tweeting live from the IEEE Conference on Transforming Engineering Education at Dublin.  Right now there is a panel discussing whether transformation is needed and if so what needs to be transformed.  Follow the thread at www.twitter.com/deg511.

Live from Dublin

IlliGAL director David E. Goldberg is tweeting live from the IEEE Conference on Transforming Engineering Education at Dublin.  Right now there is a panel discussing whether transformation is needed and if so what needs to be transformed.  Follow the …

IlliGAL director David E. Goldberg is tweeting live from the IEEE Conference on Transforming Engineering Education at Dublin.  Right now there is a panel discussing whether transformation is needed and if so what needs to be transformed.  Follow the thread at www.twitter.com/deg511.

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    Abstract  

    In this paper, a neural network (NN)-based multi-agent classifier system (MACS) utilising the trust-negotiation-communication
    (TNC) reasoning model is proposed. A novel trust measurement method, based on the combination of Bayesian belief functions,
    is incorporated into the TNC model. The Fuzzy Min-Max (FMM) NN is used as learning agents in the MACS, and useful modifications
    of FMM are proposed so that it can be adopted for trust measurement. Besides, an auctioning procedure, based on the sealed
    bid method, is applied for the negotiation phase of the TNC model. Two benchmark data sets are used to evaluate the effectiveness
    of the proposed MACS. The results obtained compare favourably with those from a number of machine learning methods. The applicability
    of the proposed MACS to two industrial sensor data fusion and classification tasks is also demonstrated, with the implications
    analysed and discussed.

    • Content Type Journal Article
    • DOI 10.1007/s00500-010-0592-0
    • Authors
      • Anas Quteishat, Al-Balqa’ Applied University Department of Computer Engineering, Faculty of Engineering Technology Al-Salt Jordan
      • Chee Peng Lim, University of Science Malaysia School of Electrical and Electronic Engineering Engineering Campus, 14300 Nibong Tebal Penang Malaysia
      • Junita Mohamad Saleh, University of Science Malaysia School of Electrical and Electronic Engineering Engineering Campus, 14300 Nibong Tebal Penang Malaysia
      • Jeffrey Tweedale, University of South Australia School of Electrical and Information Engineering Adelaide Australia
      • Lakhmi C. Jain, University of South Australia School of Electrical and Information Engineering Adelaide Australia

    Dario Floreano and Claudio Mattiussi (eds): Bio-inspired artificial intelligence: theories, methods, and technologies

    Dario Floreano and Claudio Mattiussi (eds): Bio-inspired artificial intelligence: theories, methods, and technologies
    Content Type Journal ArticlePages 441-443DOI 10.1007/s10710-010-9104-3Authors
    Ivan Garibay, University of Central Florida, Orlando,…

    Dario Floreano and Claudio Mattiussi (eds): Bio-inspired artificial intelligence: theories, methods, and technologies

    • Content Type Journal Article
    • Pages 441-443
    • DOI 10.1007/s10710-010-9104-3
    • Authors
      • Ivan Garibay, University of Central Florida, Orlando, FL USA

    Guest editorial: special issue on parallel and distributed evolutionary algorithms, part two

    Guest editorial: special issue on parallel and distributed evolutionary algorithms, part two
    Content Type Journal ArticlePages 129-130DOI 10.1007/s10710-010-9106-1Authors
    Marco Tomassini, HEC, University of Lausanne Information Systems Department La…

    Guest editorial: special issue on parallel and distributed evolutionary algorithms, part two

    • Content Type Journal Article
    • Pages 129-130
    • DOI 10.1007/s10710-010-9106-1
    • Authors
      • Marco Tomassini, HEC, University of Lausanne Information Systems Department Lausanne Switzerland
      • Leonardo Vanneschi, Systems and Communication (D.I.S.Co.), University of Milano-Bicocca Department of Informatics Milan Italy

    State operators on GMV algebras

    Abstract  Flaminio and Montagna recently introduced state

    MV
    algebras as

    MV
    algebras with an internal state in the form of a unary operation. Di Nola and Dvurečenskij further presented a stronger variation
    of state

    MV
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    Abstract  

    Flaminio and Montagna recently introduced state

    MV

    algebras as

    MV

    algebras with an internal state in the form of a unary operation. Di Nola and Dvurečenskij further presented a stronger variation
    of state

    MV

    algebras called state-morphism

    MV

    algebras. In the paper we present state

    GMV

    algebras and state-morphism

    GMV

    algebras which are non-commutative generalizations of the mentioned algebras.

    • Content Type Journal Article
    • DOI 10.1007/s00500-010-0568-0
    • Authors
      • Jiří Rachůnek, Palacký University Department of Algebra and Geometry, Faculty of Sciences Tomkova 40 779 00 Olomouc Czech Republic
      • Dana Šalounová, VŠB-Technical University Ostrava Department of Mathematical Methods in Economy, Faculty of Economics Sokolská 33 701 21 Ostrava Czech Republic

    ICPR 2010 – Contest

    Classifier domains of competence: The landscape contest is a research competition aimed at finding out the relation between data complexity and the performance of learners. Comparing your techniques to those […]

    Classifier domains of competence: The landscape contest is a research competition aimed at finding out the relation between data complexity and the performance of learners. Comparing your techniques to those of other participants may contribute to enrich our understanding of the behavior of machine learning and open further research lines. Contest participants are allowed to use any type of technique. However, we highly encourage and appreciate the use of novel algorithms.

    The contest will take place on August 22, during the 20th International Conference on Pattern Recognition (ICPR 2010) at Istanbul, Turkey.

    We are planning to have a day workshop during the ICPR 2010, so that participants will be able to present and discuss their results.

    We encourage everyone to participate and share with us your work! For further details about dates and submission, please visit The landscape contest webpage.

    ICPR 2010 – Contest

    Classifier domains of competence: The landscape contest is a research competition aimed at finding out the relation between data complexity and the performance of learners. Comparing your techniques to those of other participants may contribute to enrich our understanding of the behavior of machine learning and open further research lines. Contest participants are allowed to […]

    Classifier domains of competence: The landscape contest is a research competition aimed at finding out the relation between data complexity and the performance of learners. Comparing your techniques to those of other participants may contribute to enrich our understanding of the behavior of machine learning and open further research lines. Contest participants are allowed to use any type of technique. However, we highly encourage and appreciate the use of novel algorithms.

    The contest will take place on August 22, during the 20th International Conference on Pattern Recognition (ICPR 2010) at Istanbul, Turkey.

    We are planning to have a day workshop during the ICPR 2010, so that participants will be able to present and discuss their results.

    We encourage everyone to participate and share with us your work! For further details about dates and submission, please visit The landscape contest webpage.

    SIGEVOlution Volume 4 Issue 4 is now available

    Volume 4 Issue 4 of the SIGEVOlution Newsletter is now available online. The issue features

    Galactic Arms Race by Erin J. Hastings and Kenneth O. Stanley
    A Perl Primer for EA Practitioners by Juan-Julián Merelo
    New issues of journals
    Calls & ca…

    Volume 4 Issue 4 of the SIGEVOlution Newsletter is now available online. The issue features

    • Galactic Arms Race by Erin J. Hastings and Kenneth O. Stanley
    • A Perl Primer for EA Practitioners by Juan-Julián Merelo
    • New issues of journals
    • Calls & calendar