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Browsing by Author "Ferrein, A"

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  • Rens, G; Ferrein, A; Van der Poel, E (2009-06)
    Traditionally, agent architectures based on the Belief-Desire-Intention (BDI) model make use of precompiled plans, or if they do generate plans, the plans do not involve stochastic actions nor probabilistic observations. ...
  • Rens, G; Ferrein, A (Centre for Artificial Intelligence Research, 2013-09)
    We consider online partially observable Markov decision processes (POMDPs) which compute policies by local look-ahead from the current belief-state. One problem is that belief-nodes deeper in the decision-tree increase in ...
  • Ferrein, A; Meyer, T (Association for the Advancement of Artificial Intelligence, 2013-10)
    One of the consequences of the growth in AI research in South Africa in recent years is the establishment of a number of research hubs involved in AI activities ranging from mobile robotics and computational intelligence ...
  • Rens, G; Ferrein, A; van der Poel, E (PRASA, 2008-11)
    For sophisticated robots, it may be best to accept and reason with noisy sensor data, instead of assuming complete observation and then dealing with the effects of making the assumption. We shall model uncertainties with ...
  • Rens, G; Meyer, T; Ferrein, A; Lakemeyer, G (2011-07)
    The authors propose a novel modal logic for specifying agent domains where the agent’s actuators and sensors are noisy, causing uncertainty in action and perception. The logic draws both on POMDP theory and logics of action ...