In this paper, an attempt is made to solve various problems posed to current theories of verisimilitude: the problem of linguistic variance; the problem of which are the best scientific methods for getting the most verisimilar theories; and the question of the ontological commitment in scientific theories. As a result of my solution to these problems, and with the help of other considerations of epistemological character, I conclude that the notion of 'Tarskian truth' is dispensable in a rational interpretation of (...) the scientific enterprise. As a logical result, however, falsificationism will be vindicated. (shrink)

An epistemic notion of verisimilitude (as the 'degree in which a theory seems closer to the full truth to a scientific community') is defined in several ways. Application to the structuralist description of theories is carried out by introducing a notion of 'empirical regularity' in structuralist terms. It is argued that these definitions of verisimilitude can be used to give formal reconstructions of scientific methodologies such as falsificationism, conventionalism and normal science.

Scientists can choose different claims as interpretations of the results of their research. Scientific rhetoric is understood as the attempt to make those claims most beneficial for the scientists' interests. A rational choice, game-theoretic model is developed to analyze how this choice can be made and to assess it from a normative point of view. The main conclusion is that `social' interests (pursuit of recognition) may conflict with `cognitive' ones when no constraints are put on the choices of the authors (...) of scientific papers, as in an `ideal free speech situation'. Scientific institutions may help to solve this conflict. Lastly, some empirical predictions are offered that can inspire future social research of the refereeing process. (shrink)

The connection between scientific knowledge and our empirical access to realityis not well explained within the structuralist approach to scientific theories. I arguethat this is due to the use of a semantics not rich enough from the philosophical pointof view. My proposal is to employ Sellars–Brandom's inferential semantics to understand how can scientific terms have empirical content, and Hintikka's game-theoretical semantics to analyse how can theories be empirically tested. The main conclusions are that scientific concepts gain their meaning through `basic (...) theories' grounded on `common sense, and that scientific method usually allows the pragmatic verification and falsification of scientific theories. (shrink)

The process of scientific investigation is reconstructed as a process of empirical approximation to the truth. This last concept is explicated as a combination of “degree of simmilarity between theory A and the strongest accepted empirical law at moment t” and the “degree of depth of this empirical law”. A number of methodological theorems are proved, and avision of science closer to sophisticated falsificationism is mathematically deduced from our definitions.