Mr Benjamin Johnston

Benjamin is a PhD student within the Innovation and Enterprise Research Laboratory. His research project, Comirit, is concerned with exploring the application of commonsense reasoning, formal symbolic logics and subsymbolic methods to corporate business software and robots.

For more information on his research and research interests, please contact Benjamin by email.

Selected Publications

• Benjamin Johnston, Mary-Anne Williams:
  A Formal Framework for the Symbol Grounding Problem.
  Artificial General Intelligence 2009.
• Muh. Anshar, Benjamin Johnston, Ronny Novianto, Christopher Stanton, Xun Wang, Mary-Anne Williams:
  The Bear Project: A Cognitive Approach to Robotics (System Demo).
  International Conference on Automated Planning and Scheduling 2008.
• Benjamin Johnston, Fangkai Yang, Rogan Mendoza, Xiaoping Chen, Mary-Anne Williams:
  Ontology Based Object Categorization for Robots.
  Practical Applications of Knowledge Management 2008.
• Benjamin Johnston, Mary-Anne Williams
  Comirit: Commonsense Reasoning by Integrating Simulation and Logic.
  Artificial General Intelligence 2008.
• Benjamin Johnston, Mary-Anne Williams:
  A Generic Framework for Approximate Simulation in Commonsense Reasoning Systems.
  Logical Formalizations of Commonsense Reasoning 2007.
• Benjamin Johnston, Guido Governatori:
  An Algorithm for the Induction of Defeasible Logic Theories from Databases.
  Australian Database Conference 2003.
• Benjamin Johnston, Guido Governatori:
  Induction of Defeasible Logic Theories in the Legal Domain.
  International Conference on AI and Law 2003.
• Benjamin Johnston:
  Predicting Outcomes and Identifying Patterns in Law.
  Honours Thesis 2002.

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