Being scientific research a process of social interaction, this process can be studied from a game-theoretic perspective. Some conceptual and formal instruments that can help to understand scientific research as a game are introduced, and it is argued that game theoretic epistemology provides a middle ground for 'rationalist' and 'constructivist' theories of scientific knowledge. In the first part , a description of the essential elements of game of science is made, using an inferentialist conception of rationality. In the second part (...) , some ideas for the reconstruction of case studies are introduced, and applied to one example: Latour's analysis of Joliot's attempt to build an atomic bomb. Lastly, in the third part , a formal analysis of the constitution of scientific consensus is offered. (shrink)

The scientist’s decision of accepting a given proposition is assumed to be dependent on two factors: the scientist’s ‘private’ information about the value of that statement and the proportion of colleagues who also accept it. This interdependence is modelled in an economic fashion, and it is shown that it may lead to multiple equilibria. The main conclusions are that the evolution of scientific knowledge can be path-dependent, that scientific revolutions can be due to very small changes in the empirical evidence, (...) and that not all possible equilibria are necessarily efficient, neither in the economic nor in the epistemic sense. These inefficiencies, however, can be eliminated if scientists can form coalitions. (shrink)

In this exciting Handbook, Ian Jarvie and Jesús Zamora-Bonilla have put together a wide-ranging and authoritative overview of the main philosophical currents and traditions at work in the social sciences today. Starting with the history of social scientific thought, this Handbook sets out to explore that core fundamentals of social science practice, from issues of ontology and epistemology to issues of practical method. Along the way it investigates such notions as paradigm, empiricism, postmodernism, naturalism, language, agency, power, culture, (...) and causality. (shrink)

The scientist's decision of accepting a given proposition is assumed to be dependent on two factors: the scientist's 'private' information about the value of that statement and the proportion of colleagues who also accept it. This interdependence is modelled in an economic fashion, and it is shown that it may lead to multiple equilibria. The main conclusions are that the evolution of scientific knowledge can be path, dependent, that scientific revolutions can be due to very small changes in the empirical (...) evidence, and that not all possible equilibria are necessarily efficient, neither in the economic nor in the epistemic sense. These inefficiencies, however, can be eliminated if scientists can form coalitions. (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)

Methodological norms are seen as rules defining a competitive game, and it is argued that rational recognition-seeking scientists can reach a collective agreement about which specific norms serve better their individual interests, especially if the choice is made `under a veil of ignorance', i.e. , before knowing what theory will be proposed by each scientist. Norms for theory assessment are distinguished from norms for theory choice (or inference rules), and it is argued that pursuit of recognition only affects this second (...) type of rule. An inference rule similar to `eliminative induction' is defended on the basis of such a possible agreement. According to this contractarian approach, both the explanation and the justification of scientific norms only need to refer to the preferences of individual scientists, without assuming the existence of `collective' points of view. (shrink)

A necessary condition for a group being taken as a rational agent is that its choices and judgements are ‘logically contestable’, but this can lead to problems of aggregation, as Arrow impossibility theorem or the discursive dilemma. This paper proposes a contractarian or constitutional approach: the relevant thing is what aggregation mechanisms would be preferred by the members of the group. Two distinctions need to be made: first, judgement aggregation is not aggregation of decisions, and judgement aggregation needs be distinguished (...) from the aggregation of information: we assume that every member of the group has already taken into account the opinions of the other members, by means of a process of public deliberation, but they may end having different opinions; we also assume that the members are rational, so that they have no reasons to accept further changes in their individual opinions. So, from the epistemic point of view, the collective judgment is not a 'better' opinion than those of the individual members. The collective judgement is better seen as a kind of compromise, the outcome of a ‘bargain’, so to say. Basically, we assume that individuals will have an interest in choosing a specific aggregation function by taking into account how are they affected by the collective actions carried out by the group, and grounded on the chosen collective judgement. (shrink)

The decision whether to have a realist or an anti-realist attitude towards scientific hypotheses is interpreted in this paper as a choice that scientists themselves have to face in their work as scientists, rather than as a ‘philosophical’ problem. Scientists’ choices between realism and instrumentalism (or other types of anti-realism) are interpreted in this paper with the help of two different conceptual tools: a deflationary semantics grounded in the inferentialist approach to linguistic practices developed by some authors (e.g., Sellars, Brandom), (...) and an epistemic utility function that tries to represent the cognitive preferences of scientists. The first tool is applied to two different questions traditionally related to the problem of scientific realism: the non-miracle argument, and the continuity of reference. The second one is applied to the problem of unconceived alternatives, and to the distinction between realist and instrumentalist attitudes towards scientific hypotheses. (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.

In this paper I want to present the guiding lines of a research programme into the economics of scientific knowledge, a programme whose ultimate goal is to develop what I would like to call a contractarian epistemology. The structure of the paper is as follows: in the first section I will comment on two conflicting approaches to the topic of rationality in science: the view of the rationality of scientific knowledge as deriving from the employment of sound methodological norms, and (...) the view of scientists as rational agents pursuing the optimisation of their own personal and professional interests. In section 2 I will try to make both approaches mutually consistent by showing that a competition among rational "recognition-seekers" is only possible if they agree in accepting some system of methodological norms. Section 3 will be devoted to analyse the main kinds and properties of these norms. Finally, in section 4 I will discuss a question which is far from being easy and innocent: why are scientific norms obeyed by researchers, once they have been established in a scientific discipline? (shrink)

Verisimilitude theorists (and many scientific realists) assume that science attempts to provide hypotheses with an increasing degree of closeness to the full truth; on the other hand, radical sociologists of science assert that flesh and bone scientists struggle to attain much more mundane goals (such as income, power, fame, and so on). This paper argues that both points of view can be made compatible, for (1) rational individuals only would be interested in engaging in a strong competition (such as that (...) described by radical sociologists) if they knew in advance the rules under which their outcomes are to be assessed, and (2), if these rules have to be chosen "under a veil of ignorance" (i.e., before knowing what specific theory each scientist is going to devise), then rules favoring highly verisimilar theories can be prefered by researchers to other methodological rules. (shrink)

Using the approach known as ‘Economics of Scientific Knowledge’, this paper defends the view of scientific norms as the result of a ‘social contract’, i.e., as an equilibrium in the game of selecting the norms under which to proceed to play the game of scientific research and publication. A categorisation of the relevant types of scientific norms is offered, as well as a discussion about the incentives of the researchers in choosing some or other alternative rules.

Moulines’ arguments against several types of realism in his book Pluralidad y recursion are considered and a defence of scientific realism consistent with structuralism is offered as a plausible answer to Moulines’ criticisms.

Science Bought and Sold collects a large portion of the most relevant works on the `economics of scientific knowledge production,' as well as other more recent and unpublished papers on the topic, and the long introductory essay by the editors is an illuminating guide to the field. In this critical notice, I argue that economic theorising about scientific research is providing a peaceful meeting point for many of the combatants in the `science wars,' one from which both epistemic and political (...) questions about science can be more rationally set forth. (shrink)

Science Bought and Sold collects a large portion of the most relevant works on the ‘economics of scientific knowledge production,’ as well as other more recent and unpublished papers on the topic, and the long introductory essay by the editors is an illuminating guide to the field. In this critical notice, I argue that economic theorising about scientific research is providing a peaceful meeting point for many of the combatants in the ‘science wars,’ one from which both epistemic and political (...) questions about science can be more rationally set forth. (shrink)

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.

The decision whether to have a realist or an anti-realist attitude towards scientific hypotheses is interpreted in this paper as a choice that scientists themselves have to face in their work as scientists, rather than as a ‘philosophical’ problem. Scientists’ choices between realism and instrumentalism are interpreted in this paper with the help of two different conceptual tools: a deflationary semantics grounded in the inferentialist approach to linguistic practices developed by some authors, and an epistemic utility function that tries to (...) represent the cognitive preferences of scientists. The first tool is applied to two different questions traditionally related to the problem of scientific realism: the non-miracle argument, and the continuity of reference. The second one is applied to the problem of unconceived alternatives, and to the distinction between realist and instrumentalist attitudes towards scientific hypotheses. (shrink)

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)

Moulines’ arguments against several types of realism in his book Pluralidad y recursion are considered and a defence of scientific realism consistent with structuralism is offered as a plausible answer to Moulines’ criticisms.

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.

Recently, Rueger and Sharp and Koperski have been concerned to show that certain procedural accounts of model confirmation are compromised by non-linear dynamics. We suggest that the issues raised are better approached by considering whether chaotic data analysis methods allow for reliable inference from data. We provide a framework and an example of this approach.

Franz Huber’s (2008a) attempt to unify inductivist and hypothetico-deductivist intuitions on confirmation by means of a single measure are examined and compared with previous work on the theory of verisimilitude or truthlikeness. The idea of connecting ‘the logic of confirmation’ with ‘the logic of acceptability’ is also critically discussed, and it is argued that ‘acceptability’ takes necessarily into account some pragmatic criteria, and that at least two normative senses of ‘acceptability’ must be distinguished: ‘acceptable’ in the sense of ‘being allowed (...) to accept’, and ‘acceptable’ in the sense of ‘being obliged to accept’. Lastly, some connections of confirmation theory with naturalism, intertheoretic reduction, and explanation vs. understanding are explored. (shrink)

Two aspects of Miranda Fricker's book are criticised: the implicit assumption that ethical theory can solve fundamental problems in epistemology, and the excessive reliance on testimony as a fundamental source of knowledge. Against the former, it is argued that ethical theories are based on cultural prejudices to a higher extent than epistemological theories. Against the latter, argumentation is proposed as a more important epistemic practice than testimony.

Our purpose in this paper is to contribute to a practice-based characterization of scientific inference. We want to explore whether Brandom’s pragmatist–inferentialist framework can suitably accommodate several types of ampliative inference common in scientific reasoning and explanation (probabilistic reasoning, abduction and idealisation). First, we argue that Brandom’s view of induction in terms of merely permissive inferences is inadequate; in order to overcome the shortcoming of Brandom’s proposal, we put forward an alternative conception of inductive, probabilistic reasoning by appeal to the (...) notion of degrees of commitment. Moreover, we examine the sorts of inferential commitments operative in other types of ampliative inferences, such as abduction or reasoning involving idealizations and assumptions. We suggest that agents engaging in these forms of reasoning often undertake restricted inferential commitments, whose scope and reach are more limited that in the case of the commitments associated with full beliefs. (shrink)

Two aspects of Miranda Fricker’s book are criticised: the implicit assumption that ethical theory can solve fundamental problems in epistemology, and the excessive reliance on testimony as a fundamental source of knowledge. Against the former, it is argued that ethical theories are based on cultural prejudices to a higher extent than epistemological theories. Against the latter, argumentation is proposed as a more important epistemic practice than testimony.

Our purpose in this paper is to contribute to a practice-based characterization of scientific inference. We want to explore whether Brandom’s pragmatist–inferentialist framework can suitably accommodate several types of ampliative inference common in scientific reasoning and explanation (probabilistic reasoning, abduction and idealisation). First, we argue that Brandom’s view of induction in terms of merely permissive inferences is inadequate; in order to overcome the shortcoming of Brandom’s proposal, we put forward an alternative conception of inductive, probabilistic reasoning by appeal to the (...) notion of degrees of commitment. Moreover, we examine the sorts of inferential commitments operative in other types of ampliative inferences, such as abduction or reasoning involving idealizations and assumptions. We suggest that agents engaging in these forms of reasoning often undertake restricted inferential commitments, whose scope and reach are more limited that in the case of the commitments associated with full beliefs. (shrink)

Popper’s suggestion of taking methodological norms as conventions is examined from the point of view of game theory. The game of research is interpreted as a game of persuasion, in the sense that every scientists tries to advance claims, and that her winning the game consists in her colleagues accepting some of those claims as the conclusions of some arguments. Methodological norms are seen as elements in a contract established amongst researchers, that says what inferential moves are legitimate or compulsory (...) in that game. Norms are classified in three groups: rules of internal inference , entry norms , and exit norms . It is argued that the value of a set of norms depends on how efficient they are in leading a scientific community to accept claims ranking high in a consensuated scale of epistemic value, and in giving each member of the community a reasonable expectation of winning some games. (shrink)

Jarvie’s Popper’s social view of science from Logik der Forschung to The Open Society and Its Enemies is used to discuss whether the “proto-constitution” of science that, according to Jarvie, Popper formulated is a sound justification of a falsificationist methodology, and whether the view of society and of social science grounding Popper’s views could be substituted for some more updated insights from contemporary social science. In particular, I defend that a game-theoretic view to the choice of norms, one that takes (...) into account the large variety of real goals and real agents having some role in the scientific process, would be a more appropriate approach to understand the “constitution of science.”. (shrink)

In this article we defend the inferential view of scientific models and idealisation. Models are seen as “inferential prostheses” (instruments for surrogative reasoning) construed by means of an idealisation-concretisation process, which we essentially understand as a kind of counterfactual deformation procedure (also analysed in inferential terms). The value of scientific representation is understood in terms not only of the success of the inferential outcomes arrived at with its help, but also of the heuristic power of representation and their capacity to (...) correct and improve our models. This provides us with an argument against Sugden’s account of credible models: the likelihood or realisticness (their “credibility”) is not always a good measure of their acceptability. As opposed to “credibility” we propose the notion of “enlightening”, which is the capacity of giving us understanding in the sense of an inferential ability. (shrink)