We show that previous results from epistemic network models showing the benefits of decreased connectivity in epistemic networks are not robust across changes in parameter values. Our findings motivate discussion about whether and how such models can inform real-world epistemic communities. As we argue, only robust results from epistemic network models should be used to generate advice for the real-world, and, in particular, decreasing connectivity is a robustly poor recommendation.

To find out what is in one’s own best interest, it is helpful to ask one’s epistemic peers. However, identifying one’s epistemic peers is not a trivial task. I consider a stylized political setting, an electoral competition of ‘Masses’ and ‘Elites’. To succeed, the Masses need to know which alternative on offer is truly in their interest. To find out, the Masses can pool their privately held information in a pre-election ballot, provided that they can reliably find out (...) with whom they should pool information. I investigate the process of finding the relevant peer group for information pooling by modelling this group formation process as dynamic network change. The simulations show that the Masses can succeed in finding the right peers, but they also suggest reasons why the Elites may often be more successful. This phenomenon generalizes to the notion of Epistemic Network Injustice. Such injustice arises when a subset of citizens is systematically deprived of connections to helpful epistemic peers, leading to their reduced political influence. Epistemic Network Injustice is a new form of epistemic injustice, related to but distinct from the notion introduced by Miranda Fricker. (shrink)

Social epistemologists should be well-equipped to explain and evaluate the growing vulnerabilities associated with filter bubbles, echo chambers, and group polarization in social media. However, almost all social epistemology has been built for social contexts that involve merely a speaker-hearer dyad. Filter bubbles, echo chambers, and group polarization all presuppose much larger and more complex network structures. In this paper, we lay the groundwork for a properly social epistemology that gives the role and structure of networks their due. In (...) particular, we formally define epistemic constructs that quantify the structural epistemic position of each node within an interconnected network. We argue for the epistemic value of a structure that we call the (m,k)-observer. We then present empirical evidence that (m,k)-observers are rare in social media discussions of controversial topics, which suggests that people suffer from serious problems of epistemic vulnerability. We conclude by arguing that social epistemologists and computer scientists should work together to develop minimal interventions that improve the structure of epistemic networks. (shrink)

A small consortium of philosophers has begun work on the implications of epistemic networks (Zollman 2008 and forthcoming; Grim 2006, 2007; Weisberg and Muldoon forthcoming), building on theoretical work in economics, computer science, and engineering (Bala and Goyal 1998, Kleinberg 2001; Amaral et. al., 2004) and on some experimental work in social psychology (Mason, Jones, and Goldstone, 2008). This paper outlines core philosophical results and extends those results to the specific question of thresholds. Epistemic maximization of certain (...) types does show clear threshold effects. Intriguingly, however, those effects appear to be importantly independent from more familiar threshold effects in networks. (shrink)

Indicators of the reliability of informants are essential for social learning in a society that is initially dominated by ignorance or superstition. Such reliability indicators should be based on meta-induction over records of truth-success. This is the major claim of this paper, and it is supported in two steps. One needs a non-circular justification of the method of meta-induction, as compared to other learning methods. An approach to this problem has been developed in earlier papers and is reported in section (...) 2. It is based on the predictive optimality of meta-inductive learning, under the assumption that objective success records are globally available. The rest of the paper develops an extension of this approach, so-called local meta-induction. Here individuals can access only success records of individuals in their immediate epistemic neighborhood. It is shown that local meta-inductive learning can spread reliable information over the entire population, and has clear advantages compared to success-independent social learning methods such as peer-imitation and authority-imitation.Send article to KindleTo send this article to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle. Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply. Find out more about the Kindle Personal Document Service.META-INDUCTION IN EPISTEMIC NETWORKS AND THE SOCIAL SPREAD OF KNOWLEDGEVolume 9, Issue 2Gerhard SchurzDOI: https://doi.org/10.1017/epi.2012.6Your Kindle email address Please provide your Kindle [email protected]@kindle.com Available formats PDF Please select a format to send. By using this service, you agree that you will only keep articles for personal use, and will not openly distribute them via Dropbox, Google Drive or other file sharing services. Please confirm that you accept the terms of use. Cancel Send ×Send article to Dropbox To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about sending content to Dropbox. META-INDUCTION IN EPISTEMIC NETWORKS AND THE SOCIAL SPREAD OF KNOWLEDGEVolume 9, Issue 2Gerhard SchurzDOI: https://doi.org/10.1017/epi.2012.6Available formats PDF Please select a format to send. By using this service, you agree that you will only keep articles for personal use, and will not openly distribute them via Dropbox, Google Drive or other file sharing services. Please confirm that you accept the terms of use. Cancel Send ×Send article to Google Drive To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about sending content to Google Drive. META-INDUCTION IN EPISTEMIC NETWORKS AND THE SOCIAL SPREAD OF KNOWLEDGEVolume 9, Issue 2Gerhard SchurzDOI: https://doi.org/10.1017/epi.2012.6Available formats PDF Please select a format to send. By using this service, you agree that you will only keep articles for personal use, and will not openly distribute them via Dropbox, Google Drive or other file sharing services. Please confirm that you accept the terms of use. Cancel Send ×Export citation Request permission. (shrink)

In this paper, we explain and showcase the promising methodology of testimonial network analysis and visualization for experimental epistemology, arguing that it can be used to gain insights and answer philosophical questions in social epistemology. Our use case is the epistemic community that discusses vaccine safety primarily in English on Twitter. In two studies, we show, using both statistical analysis and exploratory data visualization, that there is almost no neutral or ambivalent discussion of vaccine safety on Twitter. Roughly half (...) the accounts engaging with this topic are pro-vaccine, while the other half are con-vaccine. We also show that these two camps rarely engage with one another, and that the con-vaccine camp has greater epistemic reach and receptivity than the pro-vaccine camp. In light of these findings, we question whether testimonial networks as they are currently constituted on popular fora such as Twitter are living up to their promise of delivering the wisdom of crowds. We conclude by pointing to directions for further research in digital social epistemology. (shrink)

In their recent book, Oreskes and Conway describe the ‘tobacco strategy’, which was used by the tobacco industry to influence policymakers regarding the health risks of tobacco products. The strategy involved two parts, consisting of promoting and sharing independent research supporting the industry’s preferred position and funding additional research, but selectively publishing the results. We introduce a model of the tobacco strategy, and use it to argue that both prongs of the strategy can be extremely effective—even when policymakers rationally update (...) on all evidence available to them. As we elaborate, this model helps illustrate the conditions under which the tobacco strategy is particularly successful. In addition, we show how journalists engaged in ‘fair’ reporting can inadvertently mimic the effects of industry on public belief. 1Introduction2Epistemic Network Models3Selective Sharing4Biased Production5Journalists as Unwitting Propagandists6ConclusionAppendix. (shrink)

Sometimes retracted or refuted scientific information is used and propagated long after it is understood to be misleading. Likewise, retracted news items may spread and persist, despite being publi...

​I use network models to simulate social learning situations in which the dominant group ignores or devalues testimony from the marginalized group. I find that the marginalized group ends up with several epistemic advantages due to testimonial ignoration and devaluation. The results provide one possible explanation for a key claim of standpoint epistemology, the inversion thesis, by casting it as a consequence of another key claim of the theory, the unidirectional failure of testimonial reciprocity. Moreover, the results complicate the (...) understanding and application of previously discovered network epistemology effects, notably the Zollman effect (Zollman 2007, 2010). (shrink)

A scientific community can be modeled as a collection of epistemic agents attempting to answer questions, in part by communicating about their hypotheses and results. We can treat the pathways of scientific communication as a network. When we do, it becomes clear that the interaction between the structure of the network and the nature of the question under investigation affects epistemic desiderata, including accuracy and speed to community consensus. Here we build on previous work, both our own and (...) others’, in order to get a firmer grasp on precisely which features of scientific communities interact with which features of scientific questions in order to influence epistemic outcomes. (shrink)

Much of contemporary knowledge is generated by groups not single individuals. A natural question to ask is, what features make groups better or worse at generating knowledge? This paper surveys research that spans several disciplines which focuses on one aspect of epistemic communities: the way they communicate internally. This research has revealed that a wide number of different communication structures are best, but what is best in a given situation depends on particular details of the problem being confronted by (...) the group. (shrink)

We take a logical approach to threshold models, used to study the diffusion of opinions, new technologies, infections, or behaviors in social networks. Threshold models consist of a network graph of agents connected by a social relationship and a threshold value which regulates the diffusion process. Agents adopt a new behavior/product/opinion when the proportion of their neighbors who have already adopted it meets the threshold. Under this diffusion policy, threshold models develop dynamically towards a guaranteed fixed point. We construct (...) a minimal dynamic propositional logic to describe the threshold dynamics and show that the logic is sound and complete. We then extend this framework with an epistemic dimension and investigate how information about more distant neighbors’ behavior allows agents to anticipate changes in behavior of their closer neighbors. Overall, our logical formalism captures the interplay between the epistemic and social dimensions in social networks. (shrink)

This article maps a controversy in network science over the last 15 years, dividing the field about the epistemic status of a central notion, scale-freeness. The article accounts for the two main disputes, in 2005 and in 2018, as they unfolded in academic publications and on social media. This article analyzes the conflict, and the reasons why it reignited in 2018, to the surprise of many. It is argued that the concept of complex networks is shared by the (...) distinct subcultures of theorists and experimentalists; and that these subcultures have incompatible approaches to knowledge: nomothetic and idiographic. Following Galison, this article contends that network science is a trading zone where theorists and experimentalists can trade knowledge across the epistemic divide. (shrink)

A stable democracy requires a shared identity and political culture. Its citizens need to identify as one common demos lest it fracture and balkanise into separate political communities. This in turn necessitates some common communication network for political messages to be transmitted, understood and evaluated by citizens. Hence, what demarcates one demos from another are the means of communication connecting the citizens of those demoi, allowing them to debate and persuade each other on the proper conduct of government and on (...) issues of common interest. For the ancient Athenians, their public sphere was the agora (marketplace); for the Federalists in the American colonies, the newspaper; for us today, it is the Internet. Until now, the physical nature of these communication networks has resulted in a trade-off between the reach of political messages (the numeric and geographic composition of the demos who receive political messages and may participate in the public sphere) and the ability to target the content of a message on that network towards individual citizens. One-to-one interpersonal conversation in the agora was highly targeted but could reach only as far as a voice could carry. The speakers and audience were well known to each other through personal interaction. As the printing press and later television allowed for greater and greater reach, the content of these messages became more generic as the speakers became more distant from their audience. The wider the audience grew, the less a message could be targeted at a particular audience segment without alienating others. (shrink)

What kind of collective is responsible for the deception that follows disinformation campaigns? Jennifer Lackey argues in The Epistemology of Groups that a group agent is responsible for such deception. She analyzes this deception as a group lie, which involves a group misrepresenting its own beliefs through a jointly accepted assertion or a spokesperson. Against this view, I argue that the group responsible for disinformation campaigns is a diffuse network. This deception involves misrepresenting scientific knowledge, not a group belief. Taking (...) tobacco industry disinformation campaigns as an example, I argue that these corporate groups needed a network of epistemically authoritative sources—including scientists, doctors, and reputable publishers—to create and spread disinformation in order to make a skeptical view of scientific knowledge appear credible. As such, I argue that a network is epistemically responsible for this deception. First, I challenge the assumption within group epistemology that assertion is the basis of epistemic responsibility and argue that credibility enhancement is the basis instead. This explains how non-testimonial forms of support and corroboration from multiple sources can bolster the apparent credibility of an implausible view. Next, I describe the roles of different corroborators to show why it is necessary to include them. Finally, I defend a network model of epistemic responsibility for deception. Understanding how enhancing the credibility of disinformation is a matter of responsibility can help us to build more trustworthy communities. (shrink)

Community leaders in Colombia have historically suffered processes of microaggressions and intimidation that threaten the free exercise of their voice in the processes of production of knowledge and in the participation of the planning of their territories. In this article, we explore the case study of the Network of Community Researchers (NCR), also known in Spanish as Red de Investigadores Comunitarios, promoted by the University of Antioquia, Colombia. The NCR is a commitment to the co-production of knowledge about human security (...) from below between community researchers and academics. This article analyses the contribution of the NCR to the human security of Medellin and a specific collection of capabilities for epistemic liberation of community researchers: the capability to be recognised as a producer of valid knowledge, to do through communicative openness, to learn from collective knowledge and to transform through collective action. The expansion of these four capabilities evidence processes of resistance and hermeneutic insurrection of some community leaders and activists who participate in the NCR. The analysis shows the contribution of the NCR to facilitate and generate a safe space in which community researchers communicate knowledge and practices and share experiences, risks, struggles, fears and collective dreams of transformation. (shrink)

This paper proposes a conceptual framework for evaluating how social networking platforms fare as epistemic environments for human users. I begin by proposing a situated concept of epistemic agency as fundamental for evaluating epistemic environments. Next, I show that algorithmic personalisation of information makes social networking platforms problematic for users’ epistemic agency because these platforms do not allow users to adapt their behaviour sufficiently. Using the tracing principle inspired by the ethics of self-driving cars, I operationalise (...) it here and identify three requirements that automated epistemic environments need to fulfil: (a) the users need to be afforded a range of skilled actions; (b) users need to be sensitive to the possibility to use their skills; (c) the habits built when adapting to the platform should not undermine the user’s pre-existing skills. I then argue that these requirements are almost impossible to fulfil all at the same time on current SN platforms; yet nevertheless, we need to pay attention to these whenever we evaluate an epistemic environment with automatic features. Finally, as an illustration, I show how Twitter, a popular social networking platform, will fare regarding these requirements. (shrink)

I begin with some familiar conceptions of epistemic relativism. One kind of epistemic relativism is descriptive pluralism. This is the simple, non-normative thesis that many different communities, cultures, social networks, etc. endorse different epistemic systems (E-systems), i.e., different sets of norms, standards, or principles for forming beliefs and other doxastic states. Communities try to guide or regulate their members’ credence-forming habits in a variety of different, i.e., incompatible, ways. Although there may be considerable overlap across cultures (...) in certain types of epistemic norms (e.g., norms for perceptual belief), there are sharp differences across groups in other types of epistemic norms. (shrink)

This essay extends the observations made in E. Johanna Hartelius’ The rhetoric of expertise about the nature of expertise in digital contexts. I argue that digital media introduce a scale of communication—many-to-many—that reshapes how the invention of knowledge occurs. By examining how knowledge production on Wikipedia occurs, I illustrate how many-to-many communication introduces a new model of “participatory expertise.” This model of participatory expertise challenges traditional information routines by elevating procedural expertise over subject matter expertise and opening up knowledge production (...) to the many. Additionally, by hosting multiperspectival conversations on Wikipedia, the participatory model of expertise introduces epistemic turbulence into traditionally tranquil encyclopedia culture. (shrink)

This article presents Epistemic Spatialization as a new framework for investigating the interconnected patterns of biases when identifying objects with convolutional neural networks. It draws upon Foucault’s notion of spatialized knowledge to guide its method of enquiry. We argue that decisions involved in the creation of algorithms, alongside the labeling, ordering, presentation, and commercial prioritization of objects, together create a distorted “nomination of the visible”: they harden the visibility of some objects, make other objects excessively visible, and consign (...) yet others to permanent or haphazard invisibility. Our approach differs from those who focus on high-stakes misidentifications, such as errors tied to structural racism. Examining the far more dominant series of low-stakes mistakes shows the scope of errors, destabilizing the goal of image content identification with considerable societal impact. We explore these issues by closely examining the demonstration video of a popular convnet. This examination reveals an interlocking series of biases undermining the content identification process. The picture we paint is crucial for a better understanding of the errors that result as these convnets become further embedded in everyday products. The framework is valuable for critical work on computer vision, AI studies, and large-scale visual analysis. (shrink)

We consider how an epistemic network might self-assemble from the ritualization of the individual decisions of simple heterogeneous agents. In such evolved social networks, inquirers may be significantly more successful than they could be investigating nature on their own. The evolved network may also dramatically lower the epistemic risk faced by even the most talented inquirers. We consider networks that self-assemble in the context of both perfect and imperfect communication and compare the behaviour of inquirers in (...) each. This provides a step in bringing together two new and developing research programs, the theory of self-assembling games and the theory of network epistemology. (shrink)

With the help of key normative concepts borrowed from social epistemology and work on epistemic duties and norms of justification we want to clarify what is at the core of learning mediated through testimony. In socially networked professional contexts, assessment of the epistemic reliability of networked information is important: justification of knowledge acquired via the word of others has an intrinsic social and normative dimension. Whereas the former has been largely taken into account in today’s learning theories based (...) on social constructivism and connectivism, the normative dimension of justification is very much overlooked. The enormous wealth of information on the internet, the myriad of seemingly contradictory statements and the distance that powerful media create between the information spread and the direct access to the facts and first-hand experience, poses challenges to learning theorists who want to formulate solid foundations for e-learning. This has led many to adopt theories, like socio-constructivism and connectivism, which put less focus on truth, accuracy and truthfulness in an effort to cope with dissenting opinions. We will argue that shying away from truthfulness as a central ingredient of learning is mistaken. You can have the benefits from today’s e-learning theories without committing to the fallacies of relativism or constructivism. (shrink)

Much of what we know we know through testimony, and knowing on the basis of testimony requires some degree of trust in speakers. Trust is therefore very valuable. But in trusting, we expose ourselves to risks of harm and betrayal. It is therefore important to trust well. In this paper, I discuss two recent cases of the betrayal of trust in (broadly) academic contexts: one involving hoax submissions to journals, the other faking an identity on social media. I consider whether (...) these betrayals suggest that we ought to be less trusting in contexts like these. I argue that we should not: the acquisition of knowledge is dependent on trust, and we cannot intentionally reduce the extent to which we trust in these kinds of contexts without risking destroying it utterly. Instead, we must trust in our epistemic networks and the way they work to filter out deception. (shrink)

The bounded confidence model has become a popular tool for studying communities of epistemically interacting agents. The model makes the idealizing assumption that all agents always have access to all other agents’ belief states. We draw on resources from network epistemology to do away with this assumption. In the model to be proposed, we impose an explicit communication network on a community, due to which each agent has access to the beliefs of only a selection of other agents. A much-discussed (...) result from network epistemology shows that densely connected communication networks are not always preferable to sparser networks. The aim of this paper is to investigate whether there are any noteworthy network effects in a version of the bounded confidence model augmented with communication networks, and in particular whether the aforementioned result from network epistemology can be replicated in that version. (shrink)

We review the most prominent modeling approaches in social epistemology aimed at understand- ing the functioning of epistemic communities and provide a philosophy of science perspective on the use and interpretation of such simple toy models, thereby suggesting how they could be integrated with conceptual and empirical work. We highlight the need for better integration of such models with relevant findings from disciplines such as social psychology and organization studies.

We carry out most of our epistemic projects as groups. Networks of individuals work together to identify questions, accumulate evidence, and settle on answers that lie beyond the ken of individual knowers. This is particularly important for controversial issues. And when it comes to ideologically contested issues, groups that are ideologically diverse in their membership are epistemically superior to groups that are ideologically homogenous. That’s because ideologically diverse groups are better at (a) identifying a representative sample of important (...) questions, (b) developing a wider range of potential answers, and (c) evaluating the evidence for and against each option. Awareness of this point produces a competence defeater for the relevant outputs of ideologically homogenous groups: they don’t deserve the high level of trust we often grant them. That, among other things, goes a long way towards justifying the public’s decreased trust in institutions like social networks, journalism, and universities. (shrink)

The article addresses the problem of how semantic information can be upgraded to knowledge. The introductory section explains the technical terminology and the relevant background. Section 2 argues that, for semantic information to be upgraded to knowledge, it is necessary and sufficient to be embedded in a network of questions and answers that correctly accounts for it. Section 3 shows that an information flow network of type A fulfils such a requirement, by warranting that the erotetic deficit, characterising the target (...) semantic information t by default, is correctly satisfied by the information flow of correct answers provided by an informational source s. Section 4 illustrates some of the major advantages of such a Network Theory of Account (NTA) and clears the ground of a few potential difficulties. Section 5 clarifies why NTA and an informational analysis of knowledge, according to which knowledge is accounted semantic information, is not subject to Gettier-type counterexamples. A concluding section briefly summarises the results obtained. (shrink)

_Abstract_: This paper aims to propose a relational approach to the study of cognition that can offer a perspective on the cognitive behaviours of plants – sessile organisms without a nervous system – when considered in the reciprocal interrogation of philosophy and the cognitive and ecological sciences. When leveraging the inspiring, clarifying, and occasionally heuristic potential of different epistemic tools, plant cognition can be understood as the result of processes constantly shaped by multiple co-constructive relationships between organisms and their (...) ecological niches. Organisms and niches are conceivable as dense multi-functional systems of resources and information interchange. The concepts of network and ramification are fruitful keys to frame forms of dynamic relationships between elements. In their alternatively iconical, metaphorical, and conceptual-modelling potentialities, networks and ramifications have been used to identify different types of relationships and transmitted information. The explanatory and heuristic scope of these two concepts needs to be further investigated when linked to cognitive aspects, especially with regard the concept of ramification. Looking at the plant world, whilst much has been written about networks, relatively little has been said explicitly about ramifications (branching capacity, branching characteristics and habits) and their relationship with aspects related to plant behaviour and cognition. _Keywords_: Plant Cognition; Ramifications; Networks; Ecology; Cognitive Science _Reti e ramificazioni: prospettive relazionali nello studio della cognizione vegetale _ _Riassunto_: Questo lavoro intende proporre un approccio relazionale allo studio della cognizione che possa offrire una prospettiva sui comportamenti cognitivi delle piante – organismi sessili privi di sistema nervoso – considerati dalla prospettiva filosofica e delle scienze cognitive ed ecologiche. Dato il potenziale ispiratore, chiarificatore e a volte euristico dei diversi strumenti epistemici, la cognizione delle piante può essere vista come risultato di processi costantemente plasmati da molteplici relazioni co-costruttive tra gli organismi e le loro nicchie ecologiche. Organismi e nicchie sono infatti concepibili come un denso sistema multi-funzionale di scambio di risorse e informazioni. I concetti di rete e ramificazione sono utili chiavi di lettura per inquadrare forme di relazione dinamica tra elementi. Nelle loro potenzialità iconiche, metaforiche e concettuali, le reti e le ramificazioni sono state usate per identificare diversi tipi di relazioni e informazioni trasmesse. Lo scopo esplicativo ed euristico di questi due concetti necessita di essere ulteriormente indagato, quando legato agli aspetti cognitivi, specialmente per quanto riguarda il concetto di ramificazione. Guardando il mondo vegetale, mentre molto è stato scritto sulle reti relativamente poco si è detto esplicitamente sulle ramificazioni (capacità di ramificazione, caratteristiche e abitudini di ramificazione) e sulle loro relazioni con aspetti legati al comportamento e alla cognizione. _Parole chiave_: Cognizione vegetale; Ramificazioni; Reti; Ecologia; Scienza cognitiva. (shrink)

The paper concentrates on how the acceptance of radical naturalism in Quine’s theory of meaning escorts Quine to ponder the naturalized epistemology. W.V. Quine was fascinated by the evidential acquisition of scientific knowledge, and language as a vehicle of knowledge plays a significant role in his regimented naturalistic theory anchored in the scientific framework. My point is that there is an interesting shift from epistemology to language (semantic externalism). The rejection of the mentalist approach on meaning vindicates external that somehow (...) pave the way for ‘semantic holism’, a thesis where the meaning of a sentence is defined in turns to the totality of nodes and paths of its semantic networks where the meaning of linguistic units depend upon the meaning of the entire language. I would like to relook on Quine’s heart-throbbing claim about the co-extensiveness of the sentential relation and the evidential relation that point towards an affirmation of meaning holism and semantic externalism. Besides, the knowledge of acquaintance that relinquishes the singular thought from the account of psychological consideration and self-knowledge hypothesis copes up with the testimonial and warrant knowledge entangling by the claims of social knowledge as anticipated by Alvin Goldman. My conclusion would be nearer to the stance of semantic externalism inculcated by the social knowledge (in an epistemic sense) and semantic holism. (shrink)

This paper addresses early modern botanical nomenclature, the practices of identifying and publishing synonyms in particular, as a collaborative “information science”. Before Linnaean nomenclature became the lingua franca of botany, it was inevitable that, over time, the same plant was given several names by different people, which created confusion and made communication among botanists increasingly difficult. What names counted as synonyms and actually referred to the same plant had to be identified by meticulously comparing living and dried specimens of this (...) and similar plants as well as relevant illustrations und descriptions in the botanical literature. Identifying synonyms required and generated an ever-expanding mass of data, which was used continuously to adjust and rearrange plant names. Despite the greatest care, judgements on synonyms were not definitive, which meant that published lists of synonyms for individual species of plants were in a state of flux and had to be constantly updated, corrected, and rewritten. This required long-term international collaborations, the accumulated results of which were not published once but consecutively, in augmented and corrected editions of a book. As a result of this networked approach, synonyms are networked names that reflect the epistemic interconnectedness of the botanical community. These questions will be discussed with a focus on the Dutch botanist Johannes Burman, who placed synonyms at the centre of his work as posthumous editor—and co-author—of the botanical manuscripts that were left behind by other botanists. (shrink)

This paper addresses early modern botanical nomenclature, the practices of identifying and publishing synonyms in particular, as a collaborative “information science”. Before Linnaean nomenclature became the lingua franca of botany, it was inevitable that, over time, the same plant was given several names by different people, which created confusion and made communication among botanists increasingly difficult. What names counted as synonyms and actually referred to the same plant had to be identified by meticulously comparing living and dried specimens of this (...) and similar plants as well as relevant illustrations und descriptions in the botanical literature. Identifying synonyms required and generated an ever-expanding mass of data, which was used continuously to adjust and rearrange plant names. Despite the greatest care, judgements on synonyms were not definitive, which meant that published lists of synonyms for individual species of plants were in a state of flux and had to be constantly updated, corrected, and rewritten. This required long-term international collaborations, the accumulated results of which were not published once but consecutively, in augmented and corrected editions of a book. As a result of this networked approach, synonyms are networked names that reflect the epistemic interconnectedness of the botanical community. These questions will be discussed with a focus on the Dutch botanist Johannes Burman, who placed synonyms at the centre of his work as posthumous editor—and co-author—of the botanical manuscripts that were left behind by other botanists. (shrink)

The central role of such epistemic concepts as theory, explanation, model, or mechanism is rarely questioned in philosophy of science. Yet, what is their actual use in the practice of science? In this philosophy of science project, we deploy text-mining methods to investigate the usage of 61 epistemic notions in a corpus of full-text articles from the biological and biomedical sciences (N=73,771). The influence of disciplinary context is also examined by splitting the corpus into sub-disciplinary clusters. The results (...) reveal the intricate semantic networks that these concepts actually form in the scientific discourse, not always following our intuitions, at least in some parts of science. The research is published in: Malaterre, Christophe & Martin Léonard. 2023. "Epistemic markers in the scientific discourse", Philosophy of Science. (shrink)

It is widely believed that bringing parties with differing opinions together to discuss their differences will help both in securing consensus and also in ensuring that this consensus closely approximates the truth. This paper investigates this presumption using two mathematical and computer simulation models. Ultimately, these models show that increased contact can be useful in securing both consensus and truth, but it is not always beneficial in this way. This suggests one should not, without qualification, support policies which increase interpersonal (...) contact if one seeks to improve the epistemic performance of groups. (shrink)

Epistemologists have addressed a variety of modal epistemic standings, such as sensitivity, safety, risk, and epistemic virtue. These concepts mark out the ways that beliefs can fail to track the truth, articulate the conditions needed for knowledge, and indicate ways to become a better epistemic agent. However, it is our contention that current ways of carving up epistemic modality ignore the complexities that emerge when individuals are embedded within a community and listening to a variety of (...) sources, some of whom are intentionally engaged in deception or bullshit. In this context we want our beliefs to be secure. In this paper we translate the epistemic modal standing of safety into a framework appropriate for social epistemology and argue for the importance of epistemic network-security and belief-security to be added to this framework. We discuss the virtues that are salient for promoting network-security and the vices that undermine it. In particular, we highlight monitoring, adjusting, and restructuring virtues and vices. Importantly, each of these vices can be other-regarding or self-regarding. For example, one tempting way of dealing with insecurity within a network is to completely cut oneself off from biased sources. However, we argue that this is a self-regarding restructuring vice because it closes oneself off from opportunities for epistemic growth. By contrast, an other-regarding restructuring vice would be to cut off others from hearing from sources of information that would make their network more secure. (shrink)

In the age of the Internet, people have increased access to information along multiple dimensions. It might seem that we are on our way to an epistemic utopia in which we spend less time and effort on basic cognitive tasks while devoting more time and effort to complex deliberation. However, though there are many accurate sources on the Internet, they must be sifted from the spammers, concern trolls, practical jokers, conspiracy theorists, counterintelligence sock-puppets, and outright liars who also proliferate (...) online. We can approach this problem via the individual or via the network, asking two questions. First, holding the topology of the network constant, which moral and epistemic dispositions are conducive to successful inquiry by nodes at different positions within it? Second, holding the distribution of people’s epistemic dispositions constant, which network topologies are more likely to produce epistemic goods and avoid epistemic ills? To answer these questions, we need to combine virtue-theoretic reflection on individual dispositions with a nuanced understanding of the dynamics of networks. In this paper, I highlight and explore some important properties of such networks and connect those properties with dispositions that make someone an excellent member of an epistemic network. (shrink)

The epistemic probability of A given B is the degree to which B evidentially supports A, or makes A plausible. This paper is a first step in answering the question of what determines the values of epistemic probabilities. I break this question into two parts: the structural question and the substantive question. Just as an object’s weight is determined by its mass and gravitational acceleration, some probabilities are determined by other, more basic ones. The structural question asks what (...) probabilities are not determined in this way—these are the basic probabilities which determine values for all other probabilities. The substantive question asks how the values of these basic probabilities are determined. I defend an answer to the structural question on which basic probabilities are the probabilities of atomic propositions conditional on potential direct explanations. I defend this against the view, implicit in orthodox mathematical treatments of probability, that basic probabilities are the unconditional probabilities of complete worlds. I then apply my answer to the structural question to clear up common confusions in expositions of Bayesianism and shed light on the “problem of the priors.”. (shrink)

A comparison is made between some epistemological issues arising in computer networks and standard features of social epistemology. A definition of knowledge for computational devices is provided and the topics of nonconceptual content and testimony are discussed.

We contribute to the exploration of diversity in interdisciplinary science by elaborating the notion of epistemic commitments to address researchers’ different views of knowledge that matters and how these views are embedded in research practices and networks. Based on previous science and technology studies and science-policy literature, we define epistemic commitments as reflexive commitments to regimes of relevant research. Drawing on an in-depth enquiry in the case of biodiversity studies in France, we describe four regimes of research, (...) each of them bringing together certain disciplinary approaches and technologies, certain scenarios about environmental changes and certain contributions to decision making and management. We distinguish between an environmentalist regime, a management-oriented regime, a function-based regime, and an ecoengineering regime. We give insights into how researchers’ commitments to these regimes are shaped, stabilized, and maintained over time, suggesting the coevolution of research practices, practical contributions, and environmental scenarios. We emphasize pluralism rather than hegemony of a type of knowledge over the others. Our results show that environmental research’s diversity does not result only from the complexity of reality itself but is also embedded in various views of scientific advancement, future scenarios, and useful contributions to environmental governance. (shrink)

in a nervous system of a given species. This chapter provides a critical perspective on the role of connectomes in neuroscientific practice and asks how the connectomic approach fits into a larger context in which network thinking permeates technology, infrastructure, social life, and the economy. In the first part of this chapter, we argue that, seen from the perspective of ongoing research, the notion of connectomes as “complete descriptions” is misguided. Our argument combines Rachel Ankeny’s analysis of neuroanatomical wiring diagrams (...) as “descriptive models” with Hans-Joerg Rheinberger’s notion of “epistemic objects,” i.e., targets of research that are still partially unknown. Combining these aspects we conclude that connectomes are constitutively epistemic objects: there just is no way to turn them into permanent and complete technical standards because the possibilities to map connection properties under different modeling assumptions are potentially inexhaustible. In the second part of the chapter, we use this understanding of connectomes as constitutively epistemic objects in order to critically assess the historical and political dimensions of current neuroscientific research. We argue that connectomics shows how the notion of the “brain as a network” has become the dominant metaphor of contemporary brain research. We further point out that this metaphor shares (potentially problematic) affinities to the form of contemporary “network societies.” We close by pointing out how the relation between connectomes and networks in society could be used in a more fruitful manner. (shrink)

Scientists are generally subject to social pressures, including pressures to conform with others in their communities, that affect achievement of their epistemic goals. Here we analyze a network epistemology model in which agents, all else being equal, prefer to take actions that conform with those of their neighbors. This preference for conformity interacts with the agents’ beliefs about which of two (or more) possible actions yields the better result. We find a range of possible outcomes, including stable polarization in (...) belief and action. The model results are sensitive to network structure. In general, though, conformity has a negative effect on a community’s ability to reach accurate consensus about the world. (shrink)

In this paper, I consider emotional reactions in response to political facts, and I investigate how they may provide relevant knowledge about those facts. I assess the value of such knowledge, both from an epistemic and a political perspective. Concerning the epistemic part, I argue that, although emotions are not in themselves sufficient to ground evaluative knowledge about political facts, they can do so within a network of further coherent epistemic attitudes about those facts. With regards to (...) the political part, I argue that the contribution of emotions to evaluative knowledge about political facts, is indeed politically valuable. To develop my argument, I show first that an evaluative kind of knowledge is relevant for reaching a sophisticated level of political cognition, and second that emotions contribute distinctively to this kind of knowledge. I conclude that, when emotional experiences towards political events are coupled with an adequate factual knowledge about those events, they can ground a distinctive evaluative knowledge about those events, and such knowledge is relevant both from an epistemic and a political perspective. (shrink)

Philosophers of science have argued that epistemic diversity is an asset for the production of scientific knowledge, guarding against the effects of biases, among other advantages. The growing privatization of scientific research, on the contrary, has raised important concerns for philosophers of science, especially with respect to the growing sources of biases in research that it seems to promote. Recently, Holman and Bruner ( 2017 ) have shown, using a modified version of Zollman ( 2010 ) social network model, (...) that an industrial selection bias can emerge in a scientific community, without corrupting any individual scientist, if the community is epistemically diverse. In this paper, we examine the strength of industrial selection using a reinforcement learning model, which simulates the process of industrial decision-making when allocating funding to scientific projects. Contrary to Holman and Bruner’s model, in which the probability of success of the agents when performing an action is given a priori, in our model the industry learns about the success rate of individual scientists and updates the probability of success on each round. The results of our simulations show that even without previous knowledge of the probability of success of an individual scientist, the industry is still able to disrupt scientific consensus. In fact, the more epistemically diverse the scientific community, the easier it is for the industry to move scientific consensus to the opposite conclusion. Interestingly, our model also shows that having a random funding agent seems to effectively counteract industrial selection bias. Accordingly, we consider the random allocation of funding for research projects as a strategy to counteract industrial selection bias, avoiding commercial exploitation of epistemically diverse communities. (shrink)

Large scale experiments at CERN’s Large Hadron Collider rely heavily on computer simulations, a fact that has recently caught philosophers’ attention. CSs obviously require appropriate modeling, and it is a common assumption among philosophers that the relevant models can be ordered into hierarchical structures. Focusing on LHC’s ATLAS experiment, we will establish three central results here: with some distinct modifications, individual components of ATLAS’ overall simulation infrastructure can be ordered into hierarchical structures. Hence, to a good degree of approximation, hierarchical (...) accounts remain valid at least as descriptive accounts of initial modeling steps. In order to perform the epistemic function Winsberg Model-based reasoning in scientific discovery. Kluwer Academic/plenum Publishers, New York, pp 255–269, 1999) assigns to models in simulation—generate knowledge through a sequence of skillful but non-deductive transformations—ATLAS’ simulation models have to be considered part of a network rather than a hierarchy, in turn making the associated simulation modeling messy rather than motley. Deriving knowledge-claims from this ‘mess’ requires two sources of justification: holistic validation :253–262, 2010; in Carrier M, Nordmann A Science in the context of application. Springer, Berlin, pp 115–130, 2011), and model coherence. As it turns out, the degree of model coherence sets HEP apart from other messy, simulation-intensive disciplines such as climate science, and the reasons for this are to be sought in the historical, empirical and theoretical foundations of the respective discipline. (shrink)

Scientists are generally subject to social pressures, including pressures to conform with others in their communities, that affect achievement of their epistemic goals. Here we analyze a network epistemology model in which agents, all else being equal, prefer to take actions that conform with those of their neighbors. This preference for conformity interacts with the agents’ beliefs about which of two possible actions yields the better result. We find a range of possible outcomes, including stable polarization in belief and (...) action. The model results are sensitive to network structure. In general, though, conformity has a negative effect on a community’s ability to reach accurate consensus about the world. (shrink)

In this paper we discuss three different kinds of disagreement that have been, or could reasonably be, characterized as deep disagreements. Principle level disagreements are disagreements over the truth of epistemic principles. Sub-principle level deep disagreements are disagreements over how to assign content to schematic norms. Finally, framework-level disagreements are holistic disagreements over meaning not truth, that is over how to understand networks of epistemic concepts and the beliefs those concepts compose. Within the context of each of (...) these kinds of disagreement it is not possible for the parties to the dispute to rationally persuade one another through only offering epistemic reasons for their conflicting points of view. However, in spite of the inability to rationally persuade, we explore how it may nevertheless be possible to rationally navigate each of these varieties of deep disagreement. (shrink)

What do humility, intellectual humility, and open-mindedness mean in the context of inter-group conflict? We spend most of our time with ingroup members, such as family, friends, and colleagues. Yet our biggest disagreements —— about practical, moral, and epistemic matters —— are likely to be with those who do not belong to our ingroup. An attitude of humility towards the former might be difficult to integrate with a corresponding attitude of humility towards the latter, leading to smug tribalism that (...) masquerades as genuine virtue. These potentially conflicting priorities have recently come to the fore because “tribal epistemology” has so thoroughly infected political and social discourse. Most research on these dispositions focuses on individual traits and dyadic peer-disagreement, with little attention to group membership or inter-group conflict. In this chapter, we dilate the social scale to address this pressing philosophical and social problem. (shrink)