In this chapter, we analyze the relationships between the Internet and its users in terms of situated cognition theory. We first argue that the Internet is a new kind of cognitive ecology, providing almost constant access to a vast amount of digital information that is increasingly more integrated into our cognitive routines. We then briefly introduce situated cognition theory and its species of embedded, embodied, extended, distributed and collective cognition. Having thus set the stage, we begin by taking an embedded (...) cognition view and analyze how the Internet aids certain cognitive tasks. After that, we conceptualize how the Internet enables new kinds of embodied interaction, extends certain aspects of our embodiment, and examine how wearable technologies that monitor physiological, behavioral and contextual states transform the embodied self. On the basis of the degree of cognitive integration between a user and Internet resource, we then look at how and when the Internet extends our cognitive processes. We end this chapter with a discussion of distributed and collective cognition as facilitated by the Internet. (shrink)

There is a surge of attempts to draw out the epistemological consequences of views according to which cognition is deeply embedded, embodied and/or extended. The principal machinery used for doing so is that of analytic epistemology. Here I argue that Dewey's pragmatic epistemology may be better fit to the task. I start by pointing out the profound similarities between Dewey's view on cognition and that emerging from literature of more recent date. Crucially, the benefit of looking at Dewey is that (...) Dewey, unlike contemporary writers, also devises a corresponding epistemology. I then identify two senses in which contemporary analytic epistemology conflicts with e-cog—concluding from that the superiority of the Deweyian framework, at least as it concerns accommodating e-cog. (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)

The Internet is an important focus of attention for those concerned with issues of extended cognition. In particular, the application of active externalist theorizing to the Internet gives rise to the notion of Internet-extended cognition: the idea that the Internet can form part of an integrated nexus of material elements that serves as the realization base for human mental states and processes. The current review attempts to survey a range of issues and controversies that arise in respect of the notion (...) of Internet-extended cognition. These include the issue of whether the Internet, as a technological system, is able to support real-world cases of cognitive extension. It also includes issues concerning the cognitive and epistemic impacts of the Internet. Finally, the review highlights a range of issues and concerns that have not been the focus of previous philosophical attention. These include issues of ‘network-extended cognitive bloat’, ‘conjoined minds’, and an entirely new form of cognitive extension that goes under the heading of ‘human-extended machine cognition’. Together, these issues serve to highlight the value and importance of Internet-extended cognition to contemporary philosophical debates about the extended mind. In particular, the notion of Internet-extended cognition has the potential to highlight points of philosophical progress that are not easily revealed by the kind of technologically low-grade cases that tend to animate the majority of philosophical discussions in this area. (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 the social epistemology of scientific knowledge, it is largely accepted that relationships of trust, not just reliance, are necessary in contemporary collaborative science characterised by relationships of opaque epistemic dependence. Such relationships of trust are taken to be possible only between agents who can be held accountable for their actions. But today, knowledge production in many fields makes use of AI applications that are epistemically opaque in an essential manner. This creates a problem for the social epistemology of scientific (...) knowledge, as scientists are now epistemically dependent on AI applications that are not agents, and therefore not appropriate candidates for trust. (shrink)

Human beings are promiscuously social creatures, and contemporary epistemologists are increasingly becoming aware that this shapes the ways in which humans process information. This awareness has tended to restrict itself, however, to testimony amongst isolated dyads. As scientific practice ably illustrates, information-processing can be spread over a vast social network. In this essay, a credit theory of knowledge is adapted to account for the normative features of strongly distributed cognition. A typical credit theory analyzes knowledge as an instance of obtaining (...) success because of or through the ability of the individual knower. The extended credit theory developed here broadens this framework so as to accommodate team-like epistemic achievements. The extended credit theory is then contrasted with some similar proposals given from within a process reliabilist framework. Once one isolates pairs of cases of distributed cognition in which there is a difference between sheer reliability and reliability grounded in ability, one can see that the extended credit theory maps the normative terrain better than the alternatives. (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)

One can know how to ride a bicycle, play the cello, or collect experimental data. But who can know how to properly ride a tandem bicycle, perform a symphony, or run a high-energy physics experiment? Reductionist analyses fail to account for these cases strictly in terms of the individual know-how involved. Nevertheless, it doesn't follow from non-reductionism that groups possess this know-how. One must first show that epistemic extension cannot obtain. This is the idea that individuals can possess knowledge even (...) when others possess some of the epistemic materials generating it. I show that only knowledge-that can be epistemically extended, not knowledge-how. Appeal to epistemic extension is a viable way of avoiding group knowledge-that ascriptions but not group knowledge-how ascriptions. Therefore, groups can know how. (shrink)

I connect two increasingly popular ideas in social epistemology—group knowledge and epistemic extension—both departures from mainstream epistemological tradition. In doing so, I generate a framework for conceptualizing and organizing contemporary epistemology along several core axes. This, in turn, allows me to delineate a largely unexplored frontier in group epistemology. The bulk of extant work in group epistemology can be dubbed intra-group epistemology: the study of epistemically salient happenings within groups. I delineate and attempt to motivate what I dub inter-group epistemology: (...) the study of epistemically salient happenings between groups and other subjects and entities. (shrink)

This article argues for a task-based approach to identifying and individuating cognitive systems. The agent-based extended cognition approach faces a problem of cognitive bloat and has difficulty accommodating both sub-individual cognitive systems ("scaling down") and some supra-individual cognitive systems ("scaling up"). The standard distributed cognition approach can accommodate a wider variety of supra-individual systems but likewise has difficulties with sub-individual systems and faces the problem of cognitive bloat. We develop a task-based variant of distributed cognition designed to scale up and (...) down smoothly while providing a principled means of avoiding cognitive bloat. The advantages of the task-based approach are illustrated by means of two parallel case studies: re-representation in the human visual system and in a biomedical engineering laboratory. (shrink)