Experiences on Empirical Assessment of Rule-based AI Systems for Ecological Modelling

niques, more specifically logic-based knowledge representation and reasoning, applied to environ-mental modelling, again more specifically, to au-tomating aspects of construction of ecological sim-ulation models of the system dynamics kind, I have had a couple of opportunities to work on projects where comparative empirical assessments of sys-tems were performed. More and more, the degree of complexity of AI systems renders them unsuitable for purely theoretical analytical studies, compelling us to resort to empirical methods which through data can flesh out the workings of a system and help us understand its behaviour and results. The first project developed a technique for elicit-ing sources of uncertainty in ecological simulatio