Abstract
A hierarchical representation of objects is dynamically generated from the input of a virtual vision system. It is used to analyze a sequence of actions and extract behavior rules that can be utilized by the inference machine CLIPS. The vision system is assumed to provide simplified positional and shape information about visible 3D silhouettes in a frame per frame basis. A virtual agent, attempts to keep track of every image, without any previous knowledge about the object it represents. The hierarchy is restructured as necessary, to include new perceived images, in such a way that it also reflects factual relationships amongst them. Modifications between consecutive frames are internally interpreted and represented as functions which take the original world description and transform it into the next frame. A partial order is defined while looking for the satisfaction of domain/codomain requirements in functions composition, thus leading to the CLIPS rules.
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References
Winograd, T.: Procedures as a Representation for Data in a Computer Program for Understanding Natural Language. MIT AI Technical Report 235 (1971)
Sloman, A.: AI in a New Millenium: Obstacles and Opportunities. Birmingham CoSy Technical Reports (2005)
Hawes, N., Sloman, A., Wyatt, J., Jacobsson, H., et al.: Towards an Integrated Robot with Multiple Cognitive Functions. In: Forthcoming in the AAAI 2007 special track on Integrated Intelligence (2007)
Savage, J., Billinghurst, M., Holden, A.: The Virbot: A Virtual Reality Mobile Robot Driven with Multimodal Comands. Expert Systems with Applications 15, 413–419 (1998)
McCarthy, J.: Recursive Functions of Symbolic Expressions and Their Computation by Machine, Part I. Communications of the ACM (CACM), 184–195 (April 1960)
Giarratano, J.C.: CLIPS: User Guide. Version 6.20 (2002), http://www.ghg.net/clips/download/documentation/usrguide.pdf
Arriola, V.: Generacion Automatica de Reglas para la Maquina de Inferencias CLIPS. Thesis for the Master Degree in Computer Sciencies, Mentor: Savage, J., UNAM (2006)
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© 2007 Springer-Verlag Berlin Heidelberg
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Arriola, V.E., Savage, J. (2007). Knowledge Acquisition and Automatic Generation of Rules for the Inference Machine CLIPS. In: Gelbukh, A., Kuri Morales, Á.F. (eds) MICAI 2007: Advances in Artificial Intelligence. MICAI 2007. Lecture Notes in Computer Science(), vol 4827. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76631-5_69
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DOI: https://doi.org/10.1007/978-3-540-76631-5_69
Publisher Name: Springer, Berlin, Heidelberg
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