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ICIIS '99 Proceedings of the 1999 International Conference on Information Intelligence and Systems
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The paper presents a methodology for the design of simulation models of biological systems that take the occurrence of random errors into account. We suggest: (1) representing the causal structure and prescribed behavior of the system to be simulated by means of Petri net N, (2) extending net N so as to allow for algebraic error detection via Hamming codes over a finite field, (3) simulating net N in a way that introduces unexpected states (random marking errors) into the process, and (4) algebraically detecting such "wrong" states and identifying their erroneous components.