Abstract
During the early stages of their development, equation discovery systems were mainly used to rediscover historical models and laws in a range of scientific disciplines using artificial data. State of the art equation discovery systems incorporate methods for discovering regularities from real life measured data and can aid the process of scientific discovery. This chapter reviews the development of equation discovery systems and their use for modelling ecosystems. Experiments with these systems include the reconstruction of three known ecological models and two cases of automated modelling of measured data from real world ecosystems. The model of algal growth in the Lagoon of Venice predicts correctly most of the peaks and crashes of algal concentration. The second model of phytoplankton growth in the Danish lake Glumsoe can be successfully used for long term prediction of phytoplankton concentration.
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