Different columns correspond to different frequencies of environmental change (f) and different rows to different magnitudes of environmental change (m). Each point represents the average of the population mean over the last 2000 generations of a single replicate. Results of four simulations (all for f = 0.01) with low average LE (< 3) is not visible, as the average performance was below 0.80. The points are semi-transparent and darker spots indicate that multiple replicates evolved the same values.</p
<p>A) Variability of response times for both probe blocks. Errorbars show standard error across subj...
In order to study the effect of autocorrelation we find the variance of the log-population as a func...
<p>These graphs show the strength of association (as test AUC) between each species’ presence and in...
Panels in different columns corresponds to a different frequency of environmental change f, ranging ...
For two lifespans (50 timesteps: red; 500 timesteps: blue) each panel shows the evolved relationship...
The panels show the time course of average population performance over the last 100 generations of s...
Parameter settings and graphical conventions are as in Fig 3. In (A), the performance of the evolved...
F = 1 / G, where G is the number of generations after which the environmental conditions vary. Exper...
Results for two lifespans (50 timesteps: red; 500 timesteps: blue) and nine environmental regimes (d...
For each of the 16 populations presented in Fig 4, one network was chosen at random at the end of th...
<p>The learning trend versus trial number for the conditions of Experiment 2 and Experiment 3 plus a...
(A) Lack of fit (see Evaluation of reaction norms) in current (green lines) and past (blue lines) en...
An important unanswered question within the evolution of intelligence is how evolved learning effort...
Panels to the left show population performance (see section Evaluation of reaction norms) over time ...
Panel A shows results for a trait that increases fertility and panel B shows those results for a tra...
<p>A) Variability of response times for both probe blocks. Errorbars show standard error across subj...
In order to study the effect of autocorrelation we find the variance of the log-population as a func...
<p>These graphs show the strength of association (as test AUC) between each species’ presence and in...
Panels in different columns corresponds to a different frequency of environmental change f, ranging ...
For two lifespans (50 timesteps: red; 500 timesteps: blue) each panel shows the evolved relationship...
The panels show the time course of average population performance over the last 100 generations of s...
Parameter settings and graphical conventions are as in Fig 3. In (A), the performance of the evolved...
F = 1 / G, where G is the number of generations after which the environmental conditions vary. Exper...
Results for two lifespans (50 timesteps: red; 500 timesteps: blue) and nine environmental regimes (d...
For each of the 16 populations presented in Fig 4, one network was chosen at random at the end of th...
<p>The learning trend versus trial number for the conditions of Experiment 2 and Experiment 3 plus a...
(A) Lack of fit (see Evaluation of reaction norms) in current (green lines) and past (blue lines) en...
An important unanswered question within the evolution of intelligence is how evolved learning effort...
Panels to the left show population performance (see section Evaluation of reaction norms) over time ...
Panel A shows results for a trait that increases fertility and panel B shows those results for a tra...
<p>A) Variability of response times for both probe blocks. Errorbars show standard error across subj...
In order to study the effect of autocorrelation we find the variance of the log-population as a func...
<p>These graphs show the strength of association (as test AUC) between each species’ presence and in...