| 摘要 |
The invention describes immunocomputing methods for application to collectives of nanorobots (CNRs). The system provides a hybrid synthesis of adaptive immune system problem solving and anticipatory problem solving in the CNR environment. Modeling methods are advanced to guide the transformation process of CNRs in the context of evolvable hardware, including a time-series modeling approach.
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