Abstract
The detection and reporting of chaotic tendencies in real-time, real-world systems is increasing as careful analyses of processes are performed. This may well be in part due to the re-emergent interest in chaotic systems and some of the new possibilities that chaotic programming affords. This paper shows first how the algorithm for the measurement of the information dimension of a fractal has marked similarity to the BOXES paradigm. Second, the paper illustrates how a BOXES-type automaton can be constructed to attach to a simulation of the well-known chaotic system, described by the Lorentz Equations, and how it can be taught to stabilize the motion.
Original language | English (US) |
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Pages | 295-303 |
Number of pages | 9 |
State | Published - 1994 |
Event | Proceedings of the 9th International Conference on Applications of Artificial Intelligence in Engineering - University Park, PA, USA Duration: Jul 19 1994 → Jul 21 1994 |
Other
Other | Proceedings of the 9th International Conference on Applications of Artificial Intelligence in Engineering |
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City | University Park, PA, USA |
Period | 7/19/94 → 7/21/94 |
All Science Journal Classification (ASJC) codes
- Software