Much scientific research is characterized by a high degree of multidisciplinarity and interdependence between the experts. In these cases research may be described as a group activity, and as such analysed in terms of the intentions of the participants. In this paper I apply Bratman's notion of shared intentionality to explain the relations between social and epistemic elements in groups with a truth-oriented common goal. I argue that in truth-oriented activities the disposition to help – which is a constitutive part (...) of Bratman's notion of shared intentionality – takes the form of a commitment not to lie, and that mutual knowledge of this commitment gives the members an entitlement to rely on other members' testimonies. Thus, in truth-oriented group activities, common knowledge of the disposition toward mutual support gives epistemic relevance to cooperation. Scientific research is shaped by the coexistence of social and epistemic elements: social relations influence knowledge attributions, and the epistemic goal of the activity confers a particular character to these relations. (shrink)

Distributed cognition (d-cog) claims that many cognitive processes are distributed across groups and the surrounding material and cultural environment. Recently, Nancy Nersessian, Ronald Giere, and others have suggested that a d-cog approach might allow us to bring together cognitive and social theories of science. I explore this idea by focusing on the specific interpretation of d-cog found in Edwin Hutchins' canonical text Cognition in the wild. First, I examine the scope of a d-cog approach to science, showing that there are (...) important disputes between cognitive and social theorists on which d-cog remains silent. Second, I suggest that, where social explanations can be recast in d-cog terms, this reformulation will not be acceptable to all social theorists. Finally, I ask how we should make sense of the claim that, on a d-cog analysis, social factors are cognitive factors. (shrink)

This entry addresses the question of group minds, by focusing specifically on empirical arguments for group cognition and group cognitive states. Two kinds of positive argument are presented and critically evaluated: the argument from individually unintended effects and the argument from functional similarity. A general argument against group cognition – which appeals to Occam’s razor – is also discussed. In the end, much turns on the identification of a mark of the cognitive; proposed marks are briefly surveyed in the final (...) section. (shrink)

Combining active externalism in the form of the extended and distributed cognition hypotheses with virtue reliabilism can provide the long sought after link between mainstream epistemology and philosophy of science. Specifically, by reading virtue reliabilism along the lines suggested by the hypothesis of extended cognition, we can account for scientific knowledge produced on the basis of both hardware and software scientific artifacts. Additionally, by bringing the distributed cognition hypothesis within the picture, we can introduce the notion of epistemic group agents, (...) in order to further account for collective knowledge produced on the basis of scientific research teams. (shrink)

People increasingly form beliefs based on information gained from automatically filtered Internet ‎sources such as search engines. However, the workings of such sources are often opaque, preventing ‎subjects from knowing whether the information provided is biased or incomplete. Users’ reliance on ‎Internet technologies whose modes of operation are concealed from them raises serious concerns about ‎the justificatory status of the beliefs they end up forming. Yet it is unclear how to address these concerns ‎within standard theories of knowledge and justification. (...) To shed light on the problem, we introduce a ‎novel conceptual framework that clarifies the relations between justified belief, epistemic responsibility, ‎action, and the technological resources available to a subject. We argue that justified belief is subject to ‎certain epistemic responsibilities that accompany the subject’s particular decision-taking circumstances, ‎and that one typical responsibility is to ascertain, so far as one can, whether the information upon which ‎the judgment will rest is biased or incomplete. What this responsibility comprises is partly determined by ‎the inquiry-enabling technologies available to the subject. We argue that a subject’s beliefs that are ‎formed based on Internet-filtered information are less justified than they would be if she either knew how ‎filtering worked or relied on additional sources, and that the subject may have the epistemic ‎responsibility to take measures to enhance the justificatory status of such beliefs.‎. (shrink)

While, prima facie, virtue/credit approaches in epistemology would appear to be in tension with distributed/extended approaches in cognitive science, Pritchard () has recently argued that the tension here is only apparent, at least given a weak version of distributed cognition, which claims merely that external resources often make critical contributions to the formation of true belief, and a weak virtue theory, which claims merely that, whenever a subject achieves knowledge, his cognitive agency makes a significant contribution to the formation of (...) a true belief. But the significance of the role played by the subject's cognitive agency in distributed cognitive systems is in fact highly variable: at one extreme, formation of a true belief seems clearly to be significantly creditable to the subject's agency; at the other extreme, however, the subject's agency plays such a peripheral role that it is at best unclear whether it should receive significant credit for formation of a true belief. The compatibility of distributed cognition and virtue epistemology thus turns on what it takes for a contribution to the formation of true belief to count as significant. This article argues that the inevitable vagueness of this notion suggests retreating from virtue epistemology to a form of process reliabilism and explores the prospects for a distributed reliabilist epistemology designed to fit smoothly with distributed cognition. In effect, distributed reliabilism radicalizes Goldberg's recent extended reliabilist view by allowing the process the reliability of which determines the epistemic status of a subject's belief to extend to include not only processing performed by other subjects but also processing performed by non-human technological resources. (shrink)

One approach to science treats science as a cognitive accomplishment of individuals and defines a scientific community as an aggregate of individual inquirers. Another treats science as a fundamentally collective endeavor and defines a scientist as a member of a scientific community. Distributed cognition has been offered as a framework that could be used to reconcile these two approaches. Adam Toon has recently asked if the cognitive and the social can be friends at last. He answers that they probably cannot, (...) posing objections to the would-be rapprochement. We clarify both the animosity and the tonic proposed to resolve it, ultimately arguing that worries raised by Toon and others are uncompelling. (shrink)

In recent years, the idea has been gaining ground that our traditional conceptions of knowledge and cognition are unduly limiting, in that they privilege what goes on inside the ‘skin and skull’ of an individual reasoner. Instead, it has been argued, knowledge and cognition need to be understood as embodied, situated, and extended. Whether these various interrelations and dependencies are ‘merely’ causal, or are in a more fundamental sense constitutive of knowledge and cognition, is as much a matter of controversy (...) as the degree to which they pose a challenge to ‘traditional’ conceptions of cognition, knowledge and the mind. In this paper we argue that when the idea of ‘extendedness’ is applied to a core concept in epistemology and the philosophy of science—namely, scientific evidence—things appear to be on a much surer footing. The evidential status of data gathered through extended processes—including its utility as justification or warrant—do not seem to be weakened by virtue of being extended, but instead are often strengthened because of it. Indeed, it is often precisely by virtue of this extendedness that scientific evidence grounds knowledge claims, which individuals may subsequently ascribe to themselves. The functional equivalence between machine-based gathering, filtering, and processing of data and human interpretation and assessment is the crucial factor in deciding whether evidence has been gathered, rather than the distinction between intra- and extracranial processes or individual and social processes. To prioritize biological processes here, and to assert the superiority of human cognitive capacities seems both arbitrary and unwarranted with respect to gathering evidence, and ultimately would lead to an unattractive skepticism about many of the methods used in science to gather evidence. In other words, conceiving of scientific evidence as ‘impersonal’ not only better captures the character of evidence-gathering in practice, but also makes sense of a large amount of evidence-gathering that ‘personal’ accounts fail to either acknowledge or accurately describe. Whilst we suggest it is likely that all internally-distributed evidence-gathering processes are merely contingently internal processes, a significant number of externally-distributed evidence-gathering processes are necessarily externally-distributed. Some evidence can only be gathered by extended epistemic agents. (shrink)

Philosophical debates about collective scientific knowledge concern two distinct theses: groups are necessary to produce scientific knowledge, and groups have scientific knowledge in their own right. Thesis has strong support. Groups are required, in many cases of scientific inquiry, to satisfy methodological norms, to develop theoretical concepts, or to validate the results of inquiry as scientific knowledge. So scientific knowledge‐production is collective in at least three respects. However, support for is more equivocal. Though some examples suggest that groups have scientific (...) knowledge independently of their individual members, these cases are also explained in terms of relational complexes of members’ beliefs. (shrink)

There are (at least) two ways to think of the differences in basic concepts and typologies that one can find in the different scientific practices that constitute a research tradition. One is the fundamentalist view: the fewer the better. The other is a non-fundamentalist view of science whereby the integration of different concepts into the right abstraction grounds an explanation that is not grounded as the sum of the explanations supported by the parts. Integrative concepts are often associated with idealizations (...) that can successfully set the stage for different phenomena to be compared or for explanations of different phenomena to be considered as jointly increasing our understanding of reality beyond that which each explanation provides separately. In this paper, our aim is to argue for the importance of the notions of an ?affordance? and ?scaffolding? as integrative concepts in the cognitive sciences. The integrational role of the concept of affordance is closely related with the capacity of affordances to generate the scaffoldings leading to the integration. The capacities of affordances that turn them into (stable) scaffoldings explain why such notions are often used interchangeably (as we shall see). On this basis, we aim to show that the concepts of affordance and scaffolding provide the sort of epistemic perspective that can overcome common complaints about the limits and unity of the cognitive sciences once claims about extended cognition are taken seriously. (shrink)

Kristina Rolin and Brad Wray agree with an increasing number of epistemologists that knowledge can sometimes be attributed to a group and to none of its individual members. That is, collective knowledge sometimes obtains. However, Rolin charges Wray with being too restrictive about the kinds of groups to which he attributes collective knowledge. She rejects Wray’s claim that only scientific research teams can know while the general scientific community cannot. Rolin forwards a ‘default and challenge’ account of epistemic justification toward (...) her argument that even the general scientific community can know because it’s sometimes the general scientific community, and none of its individual members, that attains epistemic justification. I argue that Rolin faces a dilemma: either she must herself be more restrictive about the kinds of groups to which she attributes collective knowledge or she must concede the general claim that collective knowledge obtains at all. (shrink)

I argue that scientific knowledge is collective knowledge, in a sense to be specified and defended. I first consider some existing proposals for construing collective knowledge and argue that they are unsatisfactory, at least for scientific knowledge as we encounter it in actual scientific practice. Then I introduce an alternative conception of collective knowledge, on which knowledge is collective if there is a strong form of mutual epistemic dependence among scientists, which makes it so that satisfaction of the justification condition (...) on knowledge ineliminably requires a collective. Next, I show how features of contemporary science support the conclusion that scientific knowledge is collective knowledge in this sense. Finally, I consider implications of my proposal and defend it against objections. (shrink)

In interdisciplinary research scientists have to share and integrate knowledge between people and across disciplinary boundaries. An important issue for philosophy of science is to understand how scientists who work in these kinds of environments exchange knowledge and develop new concepts and theories across diverging fields. There is a substantial literature within social epistemology that discusses the social aspects of scientific knowledge, but so far few attempts have been made to apply these resources to the analysis of interdisciplinary science. Further, (...) much of the existing work either ignores the issue of differences in background knowledge, or it focuses explicitly on conflicting background knowledge. In this paper we provide an analysis of the interplay between epistemic dependence between individual experts with different areas of expertise. We analyze the cooperative activity they engage in when participating in interdisciplinary research in a group, and we compare our findings with those of other studies in interdisciplinary research. (shrink)