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The problem of how to compromise between speed and accuracy in decision-making faces organisms at many levels of biological complexity. Striking parallels are evident between decision-making in primate brains and collective decision-making in social insect colonies: in both systems, separate populations accumulate evidence for alternative choices; when one(More)
Many natural and artificial decision-making systems face decision problems where there is an inherent compromise between two or more objectives. One such common compromise is between the speed and accuracy of a decision. The ability to exploit the characteristics of a decision problem in order to vary between the extremes of making maximally rapid, or(More)
Wilson's recent XCS classiier system forms complete mappings of the payoo environment in the reinforcement learning tradition thanks to its accuracy based tness. According to Wilson's Generalization Hypothesis, XCS has a tendency towards generalization. With the XCS Optimality Hypothesis, I suggest that XCS systems can evolve optimal populations(More)
We consider the issue of how a classifier system should learn to represent a Boolean function. We identify four properties which may be desirable of a representation ; that it be complete, accurate, minimal and non-overlapping, and distinguish variations on two of these properties for the XCS system. We question whether the bias against overlapping rules(More)
BACKGROUND Phylogenetic trees are complex data forms that need to be graphically displayed to be human-readable. Traditional techniques of plotting phylogenetic trees focus on rendering a single static image, but increases in the production of biological data and large-scale analyses demand scalable, browsable, and interactive trees. METHODOLOGY/PRINCIPAL(More)
We propose novel ways of solving Reinforcement Learning tasks that is, stochastic optimal control tasks by h ybridising Evolutionary Algorithms with methods based on value functions. We call our approach P opulation-Based Reinforcement Learning. The key idea, from Evolutionary Computation , is that parallel interacting search processes in this case(More)
To perform tasks, organisms often use multiple procedures. Explaining the breadth of such behavioural repertoires is not always straightforward. During house hunting, colonies of Temnothorax albipennis ants use a range of behaviours to organise their emigrations. In particular, the ants use tandem running to recruit naïve ants to potential nest sites.(More)