IRE
Information Retrieval Experiment
Simulation, and simulation experiments
chapter
Michael D. Heine
Butterworth & Company
Karen Sparck Jones
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References 197
generalizes to a broader Systems approach taking in the user's behaviour and
even states of knowledge-though such approaches are still in their infancy.
Ilecondly, `simulation' as a concept, admittedly an ambiguous one, in its
broader definitions comes close to being equivalent to the concept or process
that we are seeking to describe in information science. Study of that concept
has perhaps a unique significance for us. There are intriguing philosophical
problems here. Thirdly, simulation work in its narrower technical senses can
aid the management of practical operational systems by helping to arrive at
good policies on, for example, depth of indexing, optimum online file size,
optimum library back-up, and optimum question definition (using `question'
here as a synonym for boolean expression). But the clarifications entailed in
describing information systems usefully are difficult to arrive at; so difficult
that much, if not most, published work on simulation in the area is fairly
disappointing. Fourthly, the work undertaken as part of a simulation study
In delimiting and describing a system usually improves understanding of the
lystem and suggests hypotheses for further investigation. Lastly it needs to be
clearly understood that simulation work, as a species of theoretical work, is
always dependent and sometimes critically dependent on valid data from
laboratory or operational system studies. Without a continuous stream of
8uch data, reacting symbiotically with simulation/theoretical study, both will
be poorer: we will have theory of unproven applicability, and operational
8ystems of unproven optimality. The rationale of the Cranfield experiments
must not be lost.
References
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