Simulation of error-prone biological systems
Anastasia Pagnoni, Andrea Visconti · 2004
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.