Browsing by Author "Johnston, Benjamin"

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Browsing by Author "Johnston, Benjamin"

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  • Williams, Mary-Anne; Gardenfors, Peter; Johnston, Benjamin; Wightwick, Glenn (Springer-Verlag Berlin Heidelberg, 2010)
    Anticipation plays a crucial role during any action, particularly in agents operating in open, complex and dynamic environments. In this paper we consider the role of anticipation as a strategy from a design perspective. ...
  • Novianto, Rony; Johnston, Benjamin; Williams, Mary-Anne (IOS Press, 2010)
    The ASMO Cognitive Architecture has been developed to support key capabilities: attention, awareness and self-modification. In this paper we describe the underlying attention model in ASMO. The ASMO Cognitive Architecture ...
  • Johnston, Benjamin; Williams, Mary-Anne (UTSePress, 2009)
    Parameter-driven simulations are an effective and efficient method for reasoning about a wide range of commonsense scenarios that can complement the use of logical formalizations. The advantage of simulation is its simplified ...
  • Johnston, Benjamin (Springer, 2011)
    Intelligence is a multidimensional problem of which physical reasoning and physical knowledge are important dimensions. However, there are few resources of physical knowledge that can be used in data-driven approaches to ...
  • Johnston, Benjamin; Williams, Mary-Anne (IOS Press, 2008)
    Rich computer simulations or quantitative models can enable an agent to realistically predict real-world behaviour with precision and performance that is difficult to emulate in logical formalisms. Unfortunately, such ...
  • Johnston, Benjamin; Williams, Mary-Anne (AAAI Press, 2009)
    Comirit is a framework for commonsense reasoning that combines simulation, logical deduction and passive machine learning. While a passive, observation-driven approach to learning is safe and highly conservative, it is ...
  • Johnston, Benjamin; Williams, Mary-Anne (Atlantis Press, 2009)
    A great deal of contention can be found within the published literature on grounding and the symbol grounding problem, much of it motivated by appeals to intuition and unfalsifiable claims. We seek to define a formal ...
  • Johnston, Benjamin; Williams, Mary-Anne (AAAI Press, 2007)
    This paper introduces the Slick architecture and outlines how it may be applied to solve the well known Egg-Cracking Problem. In contrast to other solutions to this problem that are based on formal logics, the Slick ...
  • Mendoza, Rogan; Johnston, Benjamin; Yang, Fangkai; Huang, Zhisheng; Chen, Xiaoping; Williams, Mary-Anne (Massey University Press, 2007)
    Meaningfully managing the relationship between representations and the entities they represent remains a challenge in robotics known as grounding. Useful insights can be found by approaching robotic systems development ...
  • Johnston, Benjamin; Yang, Fangkai; Mendoza, Rogan; Chen, Xiaoping; Williams, Mary-Anne (Springer, 2008)
    Meaningfully managing the relationship between representations and the entities they represent remains a challenge in robotics known as grounding. In this paper we Semantic Web technologies to provide a powerful extension ...
  • Felix Navarro, Karla; Gay, Valerie; Johnston, Benjamin; Leijdekkers, Peter; Vaughan, Ewan; Wang, Xun; Williams, Mary-Anne (IEEE Computer Society, 2013)
    Traffic congestion presents significant enviromnental, social and economic costs. Encouraging people to cycle and use other fonns of alternate transportation is one important aspect of addressing these problems. However, ...
  • Johnston, Benjamin (Atlantis Press, 2010)
    The evaluation of incremental progress towards 'Strong AI' or 'AGI' remains a challenging open problem. In this paper, we draw inspiration from benchmarks used in artificial commonsense reasoning to propose a new benchmark ...