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. Author manuscript; available in PMC: 2015 Apr 3.
Published in final edited form as: Oikos. 2010 Feb;119(2):219–230. doi: 10.1111/j.1600-0706.2009.17781.x

Figure 3.

Figure 3

When the optimal strategy is to bet-hedge, both with and without a cue, the fitness value of information is equal to the mutual information between the cue and the environment. We calculate the value of a partially informative cue by looking at the reduction in growth rate, as in Figure 2, relative to a perfectly informed, unconstrained strategy. (A) With no cue at all, the cost of uncertainty is equal to the entropy of the environment H(E). (B) Once a particular cue ci has been observed then the reduction in growth rate is just the cost of uncertainty, H(E|ci). Averaging across the different cues, the reduction in growth rate for a strategy using a partially informative cue is simply the conditional entropy H(E|C). (C) The fitness value of information is, in this case, the amount by which the cue reduces uncertainty about the environment — that is, exactly the mutual information between the cue and the environment (see Equation 18.)