Abstract
Sequential decision processes can be described as Markov processes. Because it is difficult to solve Markov processes, the real-time sequential decision processes based on VR simulation, which avoids to calculate the state transition probability matrix, is discussed. A new mechanism of driving directly VRML scene by simulator which is developed by VRMLScript is put forward. The mechanism solves the thorny problem of simulation control, such as scene glint and logic error of simulation etc. The real-time sequential decision system of texas star (a component of a passenger plane) assembly is developed .It is proved that the expected goal of the real-time sequential decision of texas star assembly can be approaching gradually.
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References
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© 2008 Springer-Verlag Berlin Heidelberg
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Zhou, Y., Zhang, Z., Liu, C. (2008). Research on Real-Time Sequential Decision of Texas Star Assembly. In: Huang, DS., Wunsch, D.C., Levine, D.S., Jo, KH. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues. ICIC 2008. Lecture Notes in Computer Science, vol 5226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87442-3_137
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DOI: https://doi.org/10.1007/978-3-540-87442-3_137
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-87440-9
Online ISBN: 978-3-540-87442-3
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