Within the area of study I am interested in, it is relevant how computational signs construct a meaning you can derive high level facts from. So semiosis, semantics, but pragmatics as well, are involved.
In computation, facts are observed by accessing data stored in computational means. Data is stored in different ways, but it generally materializes in the form of bits as the minimum sign unit.
Common storage media are hard disk drives, optical media or RAM-like. Those media store bits in different ways: a magnetic field on the coating of a disk, “holes” on the optical layer of a resin disk or electrons into memory cells.
The equivalent of finding a cigarette butt in a crime scene would be to observe these signs directly. But we don’t use to get facts from this kind of signs.
I start a series of posts related to legal reasoning and computational semiotics.
This post informally analyzes and puts into context the argumentation and generalization elements used by expert witness in computing, taking into account their relationship with computational semiotics.
Expert witness in computing, derive assertions from computational signs and argumentation methods.
While it could be thought that expert witness provide feasible assertions, the fact is that, in the field of computing, often many plausible options coexist. Expert witness use informal logic approaches like non-monotonicabductive reasoning to identify the best explanation that satisfies coherence with all other known facts.
Aquells que l’hem tingut com a professor el recordarem per la seva vocació docent i per ser l’home que va iniciar en les bases de dades, disciplina imprescindible de l’enginyeria en informàtica, a varies generacions de llicenciats i enginyers en informàtica.