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| | Biologically-Inspired Computing at the University of Maryland |
 | | Sipper's major research interests include evolutionary computation, bio-inspired computing, and artificial life; minor interests include cellular computing, cellular automata, and artificial self-replication, along with a smidgen of evolutionary robotics, artificial neural networks, and fuzzy logic. |
 | | Once an order is computed, rules are generated to enforce this order in the course of self-assembly via the use of memory variables and local communication. |
 | | Research methods are developed and discussed for implementing a novel, general, artificial evolution model and quantitatively studying its variations and behavior, for implementing multistage evolution toward debris-cleaning, for increasing the complexity of self-replication, and for the co-evolution of both structure and rules. |
| cortex.cs.umd.edu:8088 /bioComputing (2512 words) |
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