Aldo Frigerio

Outline of a general model of measurement

Measurement is a process aimed at acquiring and codifying information about properties of empirical entities. In this paper we provide an interpretation of such a process comparing it with what is nowadays considered the standard measurement theory, i.e., representational theory of measurement. It is maintained here that this theory has its own merits but it is incomplete and too abstract, its main weakness being the scant attention reserved to the empirical side of measurement, i.e., to measurement systems and to the ways in which the interactions of such systems with the entities under measurement provide a structure to an empirical domain. In particular it is claimed that (1) it is on the ground of the interaction with a measurement system that a partition can be induced on the domain of entities under measurement and that relations among such entities can be established, and that (2) it is the usage of measurement systems that guarantees a degree of objectivity and intersubjectivity to measurement results. As modeled in this paper, measurement systems link the abstract theory of measuring, as developed in representational terms, and the practice of measuring, as coded in standard documents such as the International Vocabulary of Metrology.

On Representing Information: A Characterization of the Analog/Digital Distinction

The common account of the analog vs digital distinction is based on features of physical systems, being related to the usage of continuous vs discrete supports respectively. It is proposed here to alternatively characterize the concepts of analog and digital as related to coding systems, of which a formal definition is given, by suggesting that the distinction refers to the strategy adopted to define the coding function: extensional in digital systems, isomorphic intensional in analog systems. This thesis is supported by examples, in particular of analog systems exploiting discrete supports, and is discussed to explain why digital coding is currently so widespread in technological and social practice.

Two Kinds of Soft Facts

The concept of soft facts is crucial for the Ockhamistic analysis of the divine knowledge of future contingents; moreover, this notion is important in itself because it concerns the structure of the facts that depend—in some sense—on other future facts. However, the debate on soft facts is often flawed by the unaware use of two different notions of soft facts. The facts of the first kind are supervenient on temporal facts: By bringing about a temporal fact, the agent can bring about these facts. However, on the one hand, the determination of the existence of these facts does not affect the past; on the other hand, assimilating divine knowledge into this kind of facts does not help the Ockhamist. The authors will argue that, to vindicate Ockhamism, another definition of “soft fact” is necessary, which turns out to be much more demanding from a metaphysical point of view.