1,721,200 research outputs found
Measurement, Models, and Uncertainty
Against the tradition, which has considered measurement able to produce pure data on physical systems, the unavoidable role played by the modeling activity in measurement is increasingly acknowledged, particularly with respect to the evaluation of measurement uncertainty. This paper characterizes measurement as a knowledge-based process and proposes a framework to understand the function of models in measurement and to systematically analyze their influence in the production of measurement results and their interpretation. To this aim, a general model of measurement is sketched, which gives the context to highlight the unavoidable, although sometimes implicit, presence of models in measurement and, finally, to propose some remarks on the relations between models and measurement uncertainty, complementarily classified as due to the idealization implied in the models and their realization in the experimental setup
Problemi filosofici del controllo
Lo scopo del presente lavoro è quello di analizzare in prospettiva filosofica il concetto di controllo, identificando la struttura dei sistemi di controllo e quindi presentando la relazione tra la dinamica del controllo e la struttura di finalizzazione che appare caratterizzare i sistemi biologici. Il contributo è diviso in quattro sezioni dedicate, rispettivamente, all’identificazione della dinamica del controllo, all’interpretazione di tale dinamica, alla relazione tra la dinamica di controllo e finalità, con particolare riferimento alla distinzione tra teleonomia e teleologia, e, infine, alla relazione tra dinamica di controllo e libertà. Le due sezioni finali tratteranno brevemente problemi circa l’interpretazione teleologica dei sistemi dinamici e la relazione tra libertà e imposizione di un controllo
On the Input of a Measurement Process
It is assumed sometimes that the input of a measurement, and therefore the entity with which a measuring system interacts, is a quantity value, possibly the (true) measurand value, and from this hypothesis the model of ideal measurement as an identity process is formulated. In this paper we show that this position is based on an inappropriate superposition of quantities and quantity values, and therefore should be discarded
Measurement and simulation: A conceptual framework
The relationship between measurement and simulation is a key topic for both metrology and philosophy of science, posing fundamental questions about the epistemic status of empirical experimentation and computational modeling. With the aim of shedding light on this complex interplay, an analytical framework is proposed for understanding the general structure of measurement and simulation. The analysis shows that simulation is appropriately interpreted as a possible component of the computation module of indirect measurement, and not as a kind of measurement in itself. This clarification allows us to offer important insights into the epistemic status of both measurement and simulation, to operationally relate them in their functional roles as information-production processes, and ultimately to emphasize the staying meaning of measurement in our data-flooded society
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