Belief formation by constructing models
The notion of uncertainty in robotics has to date largely involved the uncertainty, or variability, in the information the robot was receiving from its sensors, information about an outside world which itself is known, certain, unambiguous. For example, the uncertainty the robot may experience in answering the question “Is that object a cube?”. With the emergence of autonomous, ‘really useful robots’, however, robots also need to address the problems of uncertainty which will require the robot to reason about the real world, “It is a cube, but is there something hiding behind it?”. In this paper we reconsider a mode of ‘intelligent’ uncertain reasoning, based on forming beliefs by constructing models, which would seem to be a natural, and simple, step in the evolution of certain of today's robots and may provide the robot with a means of reasoning about the uncertainties of the world it encounters.
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- 1.J.B.Paris and A.Vencovská, Modelling Belief, Proceedings of the Evolving Knowledge Conference, British Society for Philosophy of Science, Reading University Pitmann Press, 1990, pp.133–154.Google Scholar
- 3.I. Maung and J.B. Paris, A note on the infeasibility of some inference processes, International Journal of Intelligent Systems, 1990, Vol. 5, pp. 595–604.Google Scholar
- 4.J.B.Paris, The Uncertain Reasoner's Companion, Cambridge University Press, 1994.Google Scholar
- 5.T.Kohonen, Self-Organization and Associative Memory, Springer Verlag, 1984.Google Scholar
- 6.T.Kohonen, Self-Organizing Maps, Springer Verlag, 1995.Google Scholar
- 7.U.Nehmzow, J.Hallam and T.Smithers, Really Useful Robots, in T.Kanade, F.C.A.Groen and L.O.Hertzberger, Intelligent Autonomous Systems 2, Proceedings of IAS 2, Amsterdam, 1989.Google Scholar
- 8.U.Nehmzow and T.Smithers, Mapbuilding using Self-Organizing Networks in Really Useful Robots, in J.A.Meyer and S.Wilson (eds), From Animals to Animats, Proc. 1st Conference on Simulation of Adaptive Behaviour, MIT Press, 1991.Google Scholar
- 9.C. Owen, Landmarks, topological maps and robot navigation, MSc Dissertation, Manchester University, Manchester, 1996.Google Scholar