<p>(Color Online) <b>Fig 4 A</b> (Left) Predictive agents consume more resources per capita than gradient agents when there are a small number of them. When there are very few predictive agents, increased predictivity leads to increased performance. <b>Fig 4 B</b> (Right) When there are few predictors, increased predictivity is beneficial. When a larger fraction of the agents are predictors, increasing predictivity hurts performance quickly. For both plots, data was averaged over 200 runs on a two-peaks resource.</p
<p>Decreasing observation density makes the prediction problem more difficult while at the same time...
1. Population density affects individual performance, though its effects are often mixed. For sessil...
[[abstract]]In this article, we extend an early agent-based spatial model of the prediction market b...
<p>(Color Online) <b>Fig 3 A</b> (Left) Consumption factor vs. number of predictive agents <b>Fig 3 ...
<p>Prediction seeking (blue) and prediction avoiding populations (red) evolve under the influence of...
Even with ample time and data at their disposal, people often make do with small samples, which incr...
Theoretical models of populations and swarms typically start with the assumption that the motion of ...
<p>Scatter plots of population hit rate and response time in the first versus last segment of trials...
<p>In different interaction frequencies, the available resources shrink with the increasing number o...
14 pagesSvenson (2011) showed that choices of one of two alternative productivity increases to save ...
Conventional wisdom usually suggests that agents should use all the data they have to make the best ...
<p>Model explains data produced from experiments in the blue region better than model . The opposit...
<p>These graphs show the strength of association (as test AUC) between each species’ presence and in...
1. Population density affects individual performance, though its effects are often mixed. For sessil...
We demonstrate a paradox of selection: the average level of skill among the survivors of selection m...
<p>Decreasing observation density makes the prediction problem more difficult while at the same time...
1. Population density affects individual performance, though its effects are often mixed. For sessil...
[[abstract]]In this article, we extend an early agent-based spatial model of the prediction market b...
<p>(Color Online) <b>Fig 3 A</b> (Left) Consumption factor vs. number of predictive agents <b>Fig 3 ...
<p>Prediction seeking (blue) and prediction avoiding populations (red) evolve under the influence of...
Even with ample time and data at their disposal, people often make do with small samples, which incr...
Theoretical models of populations and swarms typically start with the assumption that the motion of ...
<p>Scatter plots of population hit rate and response time in the first versus last segment of trials...
<p>In different interaction frequencies, the available resources shrink with the increasing number o...
14 pagesSvenson (2011) showed that choices of one of two alternative productivity increases to save ...
Conventional wisdom usually suggests that agents should use all the data they have to make the best ...
<p>Model explains data produced from experiments in the blue region better than model . The opposit...
<p>These graphs show the strength of association (as test AUC) between each species’ presence and in...
1. Population density affects individual performance, though its effects are often mixed. For sessil...
We demonstrate a paradox of selection: the average level of skill among the survivors of selection m...
<p>Decreasing observation density makes the prediction problem more difficult while at the same time...
1. Population density affects individual performance, though its effects are often mixed. For sessil...
[[abstract]]In this article, we extend an early agent-based spatial model of the prediction market b...