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. Author manuscript; available in PMC: 2014 Aug 8.
Published in final edited form as: J Theor Biol. 2010 Jun 10;265(4):718–733. doi: 10.1016/j.jtbi.2010.06.011

Table 2.

Parameters of ZoRLA and preZoRLA2.

Symbol Description Range Used
pi,t Clearance effort of SSi during simulation cycle t: the probability that SSi clears a detected compound [0,1] 0–1a
Qi,t Estimate of SSi's long-term, discounted cost as of events during simulation cycle t (−∞,∞) 0–3500 ZoRLAa
0–1.2 preZoRLA2a
gi The value of the P-to-P b-signal gradient used by SSi [0, ∞) 0–200 ZoRLA
0–1 preZoRLA2
pBypass Probability that a toxin bypasses an SS without being detected [0,1] 0.6–0.99 ZoRLA
0.9 preZoRLA2
h A constant that adjusts the randomness of decisions [0, ∞) −70 ZoRLA
0.1 preZoRLA2
α Learning rate: determines the weight of newly observed costs in calculation of Q [0,1] 0.1
β Discount factor: determines the current importance of future costs [0,1] 0.5 ZoRLA
0 preZoRLA2
ka Cost of detecting one r-signal [0, ∞) 0–150 ZoRLA
0–20 preZoRLA2
kc Cost of clearing one compound [0, ∞) 1
Additional parameters for ZoRLA, only
(Xi,Yi) Coordinates of SSi with respect to the center of the grid space 2 (4,4) – (28,28)
η Uniform random noise (Eq. (3)) [0, grid radius] [0, 15.5]
a

Simulation result.