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  • Publication in Scientific Reports

    New research by Tom Lenaerts and former MLG member The Anh Han in collaboration with Luís Moniz Pereira and Francisco C. Santos provides new insight into the synergy between intention recognition and contractual commitments for promoting cooperative behaviour. The research employs game theory methods and agent-based computer simulations to investigate mechanisms that underpin cooperation in differently composed societies.

     

    High levels of cooperation can be achieved if reliable agreements can be arranged. Formal commitments, such as contracts, promote cooperative social behaviour if only they can be sufficiently enforced and the costs and time to arrange them provide mutual benefit.  However, should these constraints not be met, free behaviour leads to the prevalence and dominance of commitment free-riders, namely by those who commit just in case someone else pays to arrange the commitment, and by those who do not suffer severe penalty when dishonoring established agreement.  In addition, formal commitments such as contracts might not be appropriate however to every social interaction.

     

    On the other hand, an ability to assess intention in others has been demonstrated to play a promoting role for the emergence of cooperation.  Though recognizing an intention cannot always be achieved with high enough confidence to base any decision on it. But an ability to assess intention in others, if based on previous experience and available observations at hand, facilitates cooperative behaviour without needing to resort to formal commitments like contracts.

     

    The research found that a synergy between intention recognition and commitment depends strongly on the confidence and accuracy of the intention recognition. To reach high levels of cooperation, commitments may be unavoidable if intentions cannot be assessed with sufficient confidence and accuracy.  Otherwise, it is advantageous to wield intention recognition in order to avoid arranging costly commitments.

     

    The full article is available online in  Nature’s Open Access journal Scientific Reports: http://www.nature.com/srep/2015/150320/srep09312/full/srep09312.html

      

  • MLG seminar - An hands-on introduction to probabilistic programming

    On October 30, 2014 a seminar will be presented by Manuel Pegalajar Cuéllar with the title "An hands-on introduction to probabilistic programming". This seminar will take place on the ULB campus, building NO, 8th floor, 2NO8.08 at 3PM (until 5 PM). 

  • MLG seminar - Nonlinear forecasting of macroeconomic variables using three automated model selection techniques

    On September 25, 2014 a seminar will be presented by Timo Terasvirta with the title "Nonlinear forecasting of macroeconomic variables using three automated model selection techniques". This seminar will take place on the ULB campus, building NO, 7th floor, 2NO7.08 at 12:30 (until 1:30 PM).

  • Solvay Award to Catharina Olsen

    Catharina Olsen received the prestigious Solvay Award for her PhD Thesis in Computer Science

  • MLG seminar - When R meets the Hadoop and Spark ecosystem

    On June 23, 2014 a seminar will be presented by Eric Charles with the title "When R meets the Hadoop and Spark ecosystem".  This seminar will take place on the ULB campus, building NO, Salle Rotule (8th floor) at 12:00 (until 13:00).

  • MLG participates to 1st Symposium on Serious Gaming Technology

    The MLG participated to the 1st Symposium on Serious Gaming Technology as Clinical Tool in Rehabilitation, which took place on the 1st of February in the Erasme hospital, Brussels. Projects PreSens and data mining tools for the ICT4Rehab project were presented.   

  • Ben Haibe Kains (former MLG) first author in Nature

    Congrats Ben!

    http://www.nature.com/nature/journal/vaop/ncurrent/full/nature12831.html

  • MLG publication in Nature Communications

    Researchers in Brussels, including Elisa Cilia and Tom Lenaerts from MLG, have developped an innovative method to predict a protein's strructural flexibility directly from its amino acid sequence. This publication is a first result produced by the new Interuniversity Institute for Bioinformatics IB2 (or IBsquare). The method allows for the analysis at genomic scale of the dynamic patterns of proteins without knowing their actual structure. This result provides a major breakthrough as dynamics are essential for understanding the function of proteins. As such this new methodology opens the door to a variety of innovative applications ranging from improved disorder prediction to the analysis of the evolutionary conservation of those dynamics. More information in the journal itself via http://www.nature.com/ncomms/2013/131114/ncomms3741/full/ncomms3741.html

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