The Pragmatic Roots of Context

When modelling complex systems one can not include all the causal factors, but one has to settle for partial models. This is alright if the factors left out are either so constant that they can be ignored or one is able to recognise the circumstances when they will be such that the partial model applies. The transference of knowledge from the point of application to the point of learning utilises a combination of recognition and inference – a simple model of the important features is learnt and later situations where inferences can be drawn from the model are recognised. Context straction of the collection of background features that are later recognised. Different heuristics for recognition and model formulation will be effective for different learning tasks. Each of these will lead to a different type of context. Given this, there are (at least) two ways of modelling context: one can either attempt to investigate the contexts that arise out of the heuristics that a particular agen...

• Type: Conference
• Year: 1999
• Where: CONTEXT
• Authors: Bruce Edmonds
• Keywords: CONTEXT 1999, Model, Modelling And Simulation, Partial Model, Partial Model Applies