Herminio Martins

In this chapter the author argues that modern technology rests on the axiom formulated by Giambattista Vico, the famous verum ipsum factum, verum factum convertuntur – we only understand that which we do or realize, or only fully understand all that we do or realize, to the precise extent that we actually do it or realize it. This is a reason-based concept, in the tradition of which we find thinkers such as Vico, Marx, Dewey and Bachelard, asserting the epistemic value of the maker’s knowledge. In this text, Hermínio Martins searches for the epistemological foundations of technical reason, arguing that in the age of cybernetic technologies and bio-engineering, the human being has become the “god of artefacts”.

The Kuhnian 'Revolution' and its implications for sociology --Verdade, realismo e virtude 2.0 -- Images and imaging in science : modes of perception, algorithmic imagism and big data -- Dos experimentos de pensamento na ciência e na filosofia em relação com outras modalidades de experimentos -- Um savant-philosophe : Michael Polanyi e a filosofia da ciência -- Tempo e explicação : pré-formação, epigénese e pseudomorfose nos estudos comparativos nas ciências sociais -- Why some physical theories should never die -- Sobre a relação entre filosofia natural e teologia natural no pensamento de Newton -- L'harmonie de l'inattendu : Henri Poincaré entre physique et philosophie -- A recepção das ideias do Círculo de Viena em Portugal : duas tentativas de teses de doutoramento sobre o empirismo lógico -- Riscos tecnológicos, agricultura transgénica e alternativas.

The controversy over imageless thought versus picture thinking , with the recent reconsideration of model-based reasoning in the physical sciences is briefly examined. The main focus of the article is on the role of instrumentally elicited images in the sciences, especially in the physical sciences, with special reference to optics, experimental particle physics and observational astronomy, against the background of the civilization of digital images, though to some degree every scientific discipline is implicated. Imaging, today chiefly in the mode of electronic digital visual imaging, reaches into every phase of scientific inquiry, observational, experimental, simulational, even in mathematical research. The combination of algorithms and image-intensive science with the plethora of big data results in an epistemic pattern of "mathematical imagism". The epistemological issues regarding the image-intensiveness as of data-intensiveness of scientific research deserve further probing, in pursuance of the discussions of the ideal of mechanical objectivity in machine vision versus trained judgment in the selection and assessment of scientific images: as for now tacitly we depend on conventions regarding what we called "warranted imageability"