Browse op Begeleider "Sprinkhuizen-Kuyper, I.G."

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  • Sappelli, M. (2011-06-14)
    Kunstmatige Intelligentie
    Diabetes type 2 (DM2) is a common lifestyle disease caused by an insufficient amount of physical activity, bad eating habits and possibly some genetic factors. Coaching people on their eating habits and physical activity ...
  • Closed Access
    Chamilakis, E. (2013-11-04)
    Kunstmatige Intelligentie
    This thesis presents an investigation of how environmental settings influence the appearance of altruism within small groups of agents. A set of simulation environments has been setup in which agents can perform simple ...
  • Gerke, P.K. (2013-08-23)
    Kunstmatige Intelligentie
    Autonomous navigation of robots requires obstacle localization techniques. Obstacles can be localized based on visual data. Large datasets are needed to test methods for visual obstacle localization quantitatively. In ...
  • Delft, B. van (2009-01-05)
    Kunstmatige Intelligentie
    In this thesis a theoretical attack on an AI classifier as introduced by Barreno et al. (2006) is described and lifted to a more realistic setting. The dataset, classifier and attack algorithm were updated in order to ...
  • Lormans, E.H. (2010-02-18)
    Kunstmatige Intelligentie
    Many studies have been done in the domain of bilingual word recognition. One important issue is whether bilinguals who read consider words from both their lexicons at the same time, or only one of them. This issue has been ...
  • Bax, L.N.J. (2010-07-15)
    Kunstmatige Intelligentie
    A theory of EEC proposes that the brain constitutes the role of a tra ffic regulator in simple behavior. In simulations was tested whether or not agents with a control structure, which could inhibit behavioral layers, ...
  • Belle, A. van (2012-06-29)
    Kunstmatige Intelligentie
    This Bachelor thesis will examine the use of the method of Particle Swarm Optimization (PSO) applied to the task of clustering the pixels of an image. In particular, we will examine if the results of the so-called MEPSO ...
  • Closed Access
    Boezeman, E. (2008-07-10)
    Kunstmatige Intelligentie
    In this bachelor thesis we studied the effects of using two different approaches in generating homogeneous multi‐agent teams: the clonal and the a‐clonal approach. The a‐clonal approach was hypothesized to generate better ...
  • Waa, J.S. van der (2013-08-26)
    Kunstmatige Intelligentie
    The reinforcement learning framework Horde, developed by Sutton et al. [9], is a network of Demons that processes sensorimotor data to general knowledge about the world. These Demons can be connected to each other and to ...
  • Ozer, P. (2008-02-19)
    Kunstmatige Intelligentie
    Data Mining is a technique used in various domains to give mean- ing to the available data. In classification tree modeling the data is classified to make predictions about new data. Using old data to pre- dict new data ...
  • Datadien, A.H.R. (2013-08-22)
    Kunstmatige Intelligentie
    In this thesis, a reservoir model created by Paugam-Moisy et al. (2008) was replicated, and subsequently modified to be more biologically plausible. The use of a di erent neuron model and STDP function had no negative ...
  • Haga, F. (2010-08-16)
    Kunstmatige Intelligentie
    The word learning performance of monolinguals and early and late bilinguals was simulated using the Bilingual Interactive Activation (BIA) model by Dijkstra and Van Heuven (2002), a model for visual word recognition. ...
  • Weijkamp, J. (2013-08-28)
    Kunstmatige Intelligentie
    To get insights into recognition of emotions from face and voice, we developed a special form of the Stroop task (the Emotion Stroop task). Instead of reading words and naming colors, the tasks are to recognize emotions ...
  • Beusekom, W.E. van (2009-06-02)
    Kunstmatige Intelligentie
    Co-training is a classification scheme needing only a small set of training instances for correct classification. The main question assessed in this thesis was how co-training performance varies with varying representat ...
  • Lagarde, S. (2009-11-24)
    Kunstmatige Intelligentie
    The theory of Embodied Embedded Cognition (EEC) proposes that cognition and behavior emerge out of the interaction between body and world. The brain can be envisioned as a tra ffic regulator, assisting in the selection of ...
  • Meer, S.A. van der (2008-06-30)
    Kunstmatige Intelligentie
    One effective means of computing NP-hard problems is provided by fixed-parameter tractable (fpt-) algorithms. An fpt-algorithm is an algorithm whose running time is polynomial in the input size and superpolynomial only ...
  • Closed Access
    Schut, T. (2008-08-27)
    Kunstmatige Intelligentie
    In this report we present our work on group behavior through an evolutionary algorithm. In nature several factors have been proposed as being responsible for the evolution of group forming, including the topics of our ...
  • Fang, Z. (2010-07-20)
    Kunstmatige Intelligentie
    Traditionally, intelligence was thought to be associated with thinking, reasoning, planning etcetera. More recently there has been an increasing interest in ‘lowlevel’ behavioral responses. It is likely that people make ...
  • Robben, S.M.B. (2010-04-27)
    Kunstmatige Intelligentie
    Computer Aided Detection systems (CAD) are assisting radiologists with deciding whether a detected anomaly is malignant. The current CAD systems are detecting most cancers, but false positives are the biggest problem. ...
  • Dirkzwager, G.R. (2012-06-29)
    Kunstmatige Intelligentie
    In this study we employ cellular programming to design both cooperative and competitive mechanisms that coordinate social interactions between computational units in distributed information processing systems. Through a ...