This book evaluates the increasingly wide variety of intellectual resources for research methods and methodologies and investigates what constitutes good educational research. Written by a distinguished international group of philosophers of education Questions what sorts of research can usefully inform policy and practice, and what inferences can be drawn from different kinds of research Demonstrates the critical engagement of philosophers of education with the wider educational research community and illustrates the benefits that can accrue from such engagement.

Our brains are us. But we are neither happy, fulfilled, nor all that we 'should' (or maybe could) be. We have everything previous generations could have dreamed of, but it seems it's never quite enough. What's going on? Has it anything to do with the way those brains have developed, by any chance? Gillian Bridge takes us on a journey through time, history and the mysterious labyrinth that is the brain, investigating strange happenings and unlikely people on the way. The (...) Significance Delusion is a challenging explanation of our species' peculiar vulnerability to disorders of both thinking and social cohesion. It is a power pack of research, ideas, facts and fascinating real life stories which explores our species' obsession with meaning and significance. What does it all mean for me? What do I mean to you? The Significance Delusion is humorous as well as deeply serious, and it is the must read compilation of lifestyle advice for tomorrow's well-adjusted people. It is a book about what it takes to thrive and survive as an individual human and as a society. From it you will learn the meaning of life, and your place in the world. For parents, educators, thinkers, psychologists, psychotherapists and policy makers. (shrink)

A sympathetic exegesis of themes in Barry Stroud's later writings, with a particular emphasis on the role of a certain conception of "perceptual experience" in generating the skeptical challenge to our knowledge of the external world. The resultant morals are brought to bear on John McDowell's evolving account of the role of contentful "experiences" in providing for empirical thought. For Stroud's response to this essay (and others) see: http://philosophicalskepticism.org/skepsis/numero-14/.

This book evaluates the increasingly wide variety of intellectual resources for research methods and methodologies and investigates what constitutes good educational research. Written by a distinguished international group of philosophers of education Questions what sorts of research can usefully inform policy and practice, and what inferences can be drawn from different kinds of research Demonstrates the critical engagement of philosophers of education with the wider educational research community and illustrates the benefits that can accrue from such engagement.

The two assumptions of this article are that the mainstream ecumenical paradigm of the 20th century is no longer viable, and that the gifts of global Christianity are adequate for the cause of mission and unity. The Christian landscape has vastly changed. Its centre of gravity has shifted to the South. A new form of ecumenism is needed. The vision of unity ‘made visible as all in each place who are baptized into Jesus Christ’, which involves death and rebirth, is (...) now a calling for a new generation. Constructing a new ecumenical table requires re-conception and re-visioning. North and South are henceforth equal partners.The gifts of Christianity in North and South must be re-conceived.The journey toward Christian unity must be re-visioned. For a viable future there will need to be conversion, openness and humility. (shrink)

What role do moment‐to‐moment comprehension processes play in visual attentional selection in picture stories? The current work uniquely tested the role of bridging inference generation processes on eye movements while participants viewed picture stories. Specific components of the Scene Perception and Event Comprehension Theory (SPECT) were tested. Bridging inference generation was induced by manipulating the presence of highly inferable actions embedded in picture stories. When inferable actions are missing, participants have increased viewing times for (...) the immediately following critical image (Magliano, Larson, Higgs, & Loschky, ). This study used eye‐tracking to test competing hypotheses about the increased viewing time: (a) Computational Load: inference generation processes increase overall computational load, producing longer fixation durations; (b) Visual Search: inference generation processes guide eye‐movements to pick up inference‐relevant information, producing more fixations. Participants had similar fixation durations, but they made more fixations while generating inferences, with that process starting from the fifth fixation. A follow‐up hypothesis predicted that when generating inferences, participants fixate scene regions important for generating the inference. A separate group of participants rated the inferential‐relevance of regions in the critical images, and results showed that these inferentially relevant regions predicted differences in other viewers’ eye movements. Thus, viewers’ event models in working memory affect visual attentional selection while viewing visual narratives. (shrink)

Cause and effect relationships play a central role in how we perceive and make sense of the world around us, how we act upon it, and ultimately, how we understand ourselves. Almost two decades ago, computer scientist Judea Pearl made a breakthrough in understanding causality by discovering and systematically studying the “Ladder of Causation” [Pearl and Mackenzie 2018], a framework that highlights the distinct roles of seeing, doing, and imagining. In honor of this landmark discovery, we name this the Pearl (...) Causal Hierarchy (PCH). In this chapter, we develop a novel and comprehensive treatment of the PCH through two complementary lenses, one logical-probabilistic and another inferential-graphical. Following Pearl’s own presentation of the hierarchy, we begin by showing how the PCH organically emerges from a well-specified collection of causal mechanisms (a structural causal model, or SCM). We then turn to the logical lens. Our first result, the Causal Hierarchy Theorem (CHT), demonstrates that the three layers of the hierarchy almost always separate in a measure theoretic sense. Roughly speaking, the CHT says that data at one layer virtually always underdetermines information at higher layers. Since in most practical settings the scientist does not have access to the precise form of the underlying causal mechanisms – only to data generated by them with respect to some of PCH’s layers – this motivates us to study inferences within the PCH through the graphical lens. Specifically, we explore a set of methods known as causal inference that enable inferences bridging PCH’s layers given a partial specification of the SCM. For instance, one may want to infer what would happen had an intervention been performed in the environment (second-layer statement) when only passive observations (first-layer data) are available. We introduce a family of graphical models that allows the scientist to represent such a partial specification of the SCM in a cognitively meaningful and parsimonious way. Finally, we investigate an inferential system known as docalculus, showing how it can be sufficient, and in many cases necessary, to allow inferences across PCH’s layers. We believe that connecting with the essential dimensions of human experience as delineated by the PCH is a critical step towards creating the next generation of AI systems that will be safe, robust, human-compatible, and aligned with the social good. (shrink)

Recent events have highlighted large-scale systemic racial disparities in U.S. criminal justice based on race and other demographic characteristics. Although criminological datasets are used to study and document the extent of such disparities, they often lack key information, including arrestees’ racial identification. As AI technologies are increasingly used by criminal justice agencies to make predictions about outcomes in bail, policing, and other decision-making, a growing literature suggests that the current implementation of these systems may perpetuate racial inequalities. In this paper, (...) we argue that AI technologies should be investigated to understand how they recognize racial categories and whether they can be harnessed to fill missing race data. By bridging this gap, we can work towards better understanding racial inequalities in a wide range of contexts, most notably criminal justice. Using a multidisciplinary perspective, we rethink the design and methodology used in facial processing technology (FPT) based on supervised deep learning model (DLM) image classification. By modifying standard FPT pipelines to tackle multiple sources of DLM bias, we propose an experimental methodology based on ethical AI principles to generate binary (Black and White) racial categories using mugshots. We go beyond simply reporting DLM accuracies and address fundamental issues such as generalizability and interpretability by using a “self-auditing” approach. First, we evaluate the inference performances of 42 fine-tuned DLMs using unseen test images from the same dataset but subject to varying data augmentations. Next, to interpret and validate our methodological approach, we apply gradient-based saliency maps to assess the consistency of facial region relevance and attribution. Finally, drawing upon insights from three areas (computer science, sociology, and law), we investigate the efficacy of our DLM-based method as a tool for detecting racial inequalities in criminal justice. (shrink)

An updated version of Plato's Dialogues, this adaptation takes place in contemporary times and is set at Reed College in Portland, Oregon. Through the characters' central discussions of Creationist and Materialist theories of evolution, together with their moral and social implications and ramifications, the author defines philosophy and science. This fresh approach to complex philosophical subjects will be an interesting supplement to courses in philosophy.

This paper discusses recent improvements and extensions in Synapse system for inductive inference of context free grammars from sample strings. Synapse uses incremental learning, rule generation based on bottom-up parsing, and the search for rule sets. The form of production rules in the previous system is extended from Revised Chomsky Normal Form A →βγ to Extended Chomsky Normal Form, which also includes A → B, where each of β and γ is either a terminal or nonterminal symbol. From (...) the result of bottom-up parsing, a rule generation mechanism synthesizes minimum production rules required for parsing positive samples. Instead of inductive CYK algorithm in the previous version of Synapse, the improved version uses a novel rule generation method, called ``bridging,'' which bridges the lacked part of the derivation tree for the positive string. The improved version also employs a novel search strategy, called serial search in addition to minimum rule set search. The synthesis of grammars by the serial search is faster than the minimum set search in most cases. On the other hand, the size of the generated CFGs is generally larger than that by the minimum set search, and the system can find no appropriate grammar for some CFL by the serial search. The paper shows experimental results of incremental learning of several fundamental CFGs and compares the methods of rule generation and search strategies. (shrink)

We provide a new link between deductive and probabilistic reasoning fallacies. Illusory inferences from disjunction are a broad class of deductive fallacies traditionally explained by recourse to a matching procedure that looks for content overlap between premises. In two behavioral experiments, we show that this phenomenon is instead sensitive to real-world causal dependencies and not to exact content overlap. A group of participants rated the strength of the causal dependence between pairs of sentences. This measure is a near perfect predictor (...) of fallacious reasoning by an independent group of participants in illusory inference tasks with the same materials. In light of these results, we argue that all extant accounts of these deductive fallacies require non-trivial adjustments. Crucially, these novel _indirect_ illusory inferences from disjunction bear a structural similarity to seemingly unrelated _probabilistic reasoning_ problems, in particular the conjunction fallacy from the heuristics and biases literature. This structural connection was entirely obscure in previous work on these deductive problems, due to the theoretical and empirical focus on content overlap. We argue that this structural parallelism provides arguments against the need for rich descriptions and individuating information in the conjunction fallacy, and we outline a unified theory of deductive illusory inferences from disjunction and the conjunction fallacy, in terms of Bayesian confirmation theory. (shrink)

The purpose of this paper was to provide an example from phenomenological research of moving from rich descriptive interview data to coherent revelatory descriptions employing empathic bridges within the narrative structure of storytelling. We used transcribed data from two interviews concerning recovery from severe mental illness: one with an American woman in her early thirties, and the other with a Swedish man in his mid-thirties. Five investigators analyzed the transcribed data into individual first-person narrative descriptions according to existing empirical phenomenological (...) methods including an independent reading, identification of themes relevant to processes of recovery from severe mental illness, temporal ordering of themes meaningfully reflecting the sequence of the recounted events, and consensus development. Our findings support the use of empathic bridges as a methodological tool with the narrative structure of firstperson storytelling, as well as the viability and importance of employing this tool to better understand processes of recovery for persons with severe mental illness. (shrink)

BackgroundGenealogical research and ancestry testing are popular recreational activities but little is known about the impact of the use of these services on clients’ biological and social families. Ancestry databases are being enriched with self-reported data and data from deoxyribonucleic acid analyses, but also are being linked to other direct-to-consumer genetic testing and research databases. As both family history data and DNA can provide information on more than just the individual, we asked whether companies, as a part of the consent (...) process, were informing clients, and through them clients’ relatives, of the potential implications of the use and linkage of their personal data.MethodsWe used content analysis to analyse publically-available consent and informational materials provided to potential clients of ancestry and direct-to-consumer genetic testing companies to determine what consent is required, what risks associated with participation were highlighted, and whether the consent or notification of third parties was suggested or required.ResultsWe identified four categories of companies providing: 1) services based only on self-reported data, such as personal or family history; 2) services based only on DNA provided by the client; 3) services using both; and 4) services using both that also have a research component. The amount of information provided on the potential issues varied significantly across the categories of companies. ‘Traditional’ ancestry companies showed the greatest awareness of the implications for family members, while companies only asking for DNA focused solely on the client. While in some cases companies included text recommending clients inform their relatives, showing they recognised the issues, often it was located within lengthy terms and conditions or privacy statements that may not be read by potential clients.ConclusionsWe recommend that companies should make it clearer that clients should inform third parties about their plans to participate, that third parties’ data will be provided to companies, and that that data will be linked to other databases, thus raising privacy and issues on use of data. We also suggest investigating whether a ‘generational consent’ should be created that would include more than just the individual in decisions about participating in genetic investigations. (shrink)

Joseph Butler was an Anglican priest and later a bishop who wrote about ethics, religion, and other philosophical themes. He is not well known today. During his lifetime and into the early part of the twentieth century he was better known especially for his major work the Analogy of Religion (1736). Today he is known mostly for his sermons which are interpreted as essays on ethics and for his essay on identity. Butler had a profound effect on J. H. Newman, (...) Matthew Arnold, and W. E. Gladstone and some effect on many other popular, academic, and professional readers. This book is as much about Butler’s sources and his reception as it is about the way he arranged and presented the evidence in the first half of the 18th century. He was a good man and is recognized by the Anglican church as a divine. We have no interest in taking a nostalgic look at a quaint figure in English church history. To those who claim Butler is unknown, that he was “blown out of the water” by John Wesley or Karl Barth, or Cornelius van Til, we can only say Butler is not as well known in the 20th and 21st centuries as in the 19th, but he is certainly not unknown to those who have taken any interest in philosophy, religion, or ethics. Today there has been a revival of interest in Bishop Butler. Our concern is to build and maintain a bridge that will help to keep this momentum. He offers an ethic that is universal and clearly Christian, yet it is based on the nature of man. Kant had a similar project, but in our opinion, Butler makes more compelling arguments. What is of interest to the Christian apologist is Butler’s work in this area. The purpose of this book is to present Butler’s ideas. We believe that his ethics have a universality that is applicable to people of all religious faiths and those that have none. It is common sense way of looking at ethics for everyday interaction. This book is a narrative argument presenting in detail how Butler’s creative arrangement of the evidence served as a bridge between the ancients as known in the Greek, Latin, and Hebrew originals, and the moderns, mostly Anglophone, who constituted Butler’s work environment and his reception in the latter day down to the present. We can hardly expect everyone to agree with Butler on all points, we certainly do not. The point at issue is rather whether he merits a seat at the present-day round table of deliberation on matters pertaining to philosophy, religion, and ethics. (shrink)

Current neuroimaging techniques with high spatial resolution constrain participant motion so that many natural tasks cannot be carried out. The aim of this paper is to show how a time-locked correlation-analysis of cerebral blood flow velocity (CBFV) lateralization data, obtained with functional TransCranial Doppler (fTCD) ultrasound, can be used to infer cerebral activation patterns across tasks. In a first experiment we demonstrate that the proposed analysis method results in data that are comparable with the standard Lateralization Index (LI) for within-task (...) comparisons of CBFV patterns, recorded during cued word generation (CWG) at two difficulty levels. In the main experiment we demonstrate that the proposed analysis method shows correlated blood-flow patterns for two different cognitive tasks that are known to draw on common brain areas, CWG, and Music Synthesis. We show that CBFV patterns for Music and CWG are correlated only for participants with prior musical training. CBFV patterns for tasks that draw on distinct brain areas, the Tower of London and CWG, are not correlated. The proposed methodology extends conventional fTCD analysis by including temporal information in the analysis of cerebral blood-flow patterns to provide a robust, non-invasive method to infer whether common brain areas are used in different cognitive tasks. It complements conventional high resolution imaging techniques. (shrink)

Stereotypes shape inferences in philosophical thought, political discourse, and everyday life. These inferences are routinely made when thinkers engage in language comprehension or production: We make them whenever we hear, read, or formulate stories, reports, philosophical case-descriptions, or premises of arguments – on virtually any topic. These inferences are largely automatic: largely unconscious, non-intentional, and effortless. Accordingly, they shape our thought in ways we can properly understand only by complementing traditional forms of philosophical analysis with experimental methods from psycholinguistics. This (...) paper seeks, first, to bring out the wider philosophical relevance of stereotypical inference, well beyond familiar topics like gender and race. Second, we wish to provide philosophers with a toolkit to experimentally study these ubiquitous inferences and what intuitions they may generate. This paper explains what stereotypes are, and why they matter to current and traditional concerns in philosophy – experimental, analytic, and applied. It then assembles a psycholinguistic toolkit and demonstrates through two studies how potentially questionnaire-based measures can be combined with process measures to garner evidence for specific stereotypical inferences and study when they ‘go through’ and influence our thinking. (shrink)

In informal terms, abductive reasoning involves inferring the best or most plausible explanation from a given set of facts or data. It is a common occurrence in everyday life and crops up in such diverse places as medical diagnosis, scientific theory formation, accident investigation, language understanding, and jury deliberation. In recent years, it has become a popular and fruitful topic in artificial intelligence research. This volume breaks new ground in the scientific, philosophical, and technological study of abduction. It presents new (...) ideas about inferential and information-processing foundations for knowledge and certainty. The authors argue that knowledge arises from experience by processes of abductive inference, in contrast to the view that it arises non-inferentially, or that deduction and inductive generalization are enough to account for knowledge. Much AI research is hypothetical, so the importance of this book is that it reports key discoveries about abduction that have been made as a result of designing, building, testing, and analyzing actual working knowledge-based systems for medical diagnosis and other abductive tasks. The book tells the story of six generations of increasingly sophisticated generic abduction machines, RED-1, RED-2, PEIRCE, MDX2, TIPS, QUAWDS, and the discovery of reasoning strategies that make it computationally feasible to form well-justified composite explanatory hypotheses, despite the threat of combinatorial explosion. The final chapter argues that perception is logically abductive and presents a layered-abduction computational model of perceptual information processing. This book will be of great interest to researchers in AI, cognitive science, and philosophy of science. (shrink)

In “Milvian Bridges in Science, Religion, and Theology: Debunking Arguments and Cultural Evolution,” Lari Launonen and Aku Visala engage with an EDA against religious belief that appeals to cultural rather than biological evolution. According to this EDA, religious beliefs are unjustified, not because they are generated by biologically shaped cognitive processes that are unreliable as far as those beliefs are concerned but because they are generated by cultural processes that select for those beliefs for their ability to produce prosocial behavior (...) rather than for their truth sensitivity. Scientific beliefs, by contrast, are truth-sensitive because their cultural fitness depends on their power to produce accurate predictions. Their truth sensitivity explains the great amount of convergence on them that exists across cultures. In response to the EDA in question, Launonen and Visala argue that the difference between science and religion is actually more a matter of degree than a matter of kind, that there is considerable cross-cultural convergence on theistic and Christian beliefs, and that folk Christian beliefs, just as folk scientific ones, are truth-sensitive to the extent that they are constrained by expert beliefs. (shrink)

This monograph provides a new account of justified inference as a cognitive process. In contrast to the prevailing tradition in epistemology, the focus is on low-level inferences, i.e., those inferences that we are usually not consciously aware of and that we share with the cat nearby which infers that the bird which she sees picking grains from the dirt, is able to fly. Presumably, such inferences are not generated by explicit logical reasoning, but logical methods can be used to (...) describe and analyze such inferences. Part 1 gives a purely system-theoretic explication of belief and inference. Part 2 adds a reliabilist theory of justification for inference, with a qualitative notion of reliability being employed. Part 3 recalls and extends various systems of deductive and nonmonotonic logic and thereby explains the semantics of absolute and high reliability. In Part 4 it is proven that qualitative neural networks are able to draw justified deductive and nonmonotonic inferences on the basis of distributed representations. This is derived from a soundness/completeness theorem with regard to cognitive semantics of nonmonotonic reasoning. The appendix extends the theory both logically and ontologically, and relates it to A. Goldman's reliability account of justified belief. This text will be of interest to epistemologists and logicians, to all computer scientists who work on nonmonotonic reasoning and neural networks, and to cognitive scientists. (shrink)

I respond to the bad lot argument in the context of biological systematics. The response relies on the historical nature of biological systematics and on the availability of pattern explanations. The basic assumption of common descent enables systematic methodology to naturally generate candidate explanatory hypotheses. However, systematists face a related challenge in the issue of character analysis. Character analysis is the central problem for contemporary systematics, yet the general problem of which it is a case—what counts as evidence?—has not been (...) adequately discussed by proponents of inference to the best explanation. Facing this problem is the price of adopting abductive methods. I sketch an account of how systematists approach the problem of evidence. (shrink)

In philosophy, the criteria for personhood (PH) at a specific point in time (synchronic), and the necessary and sufficient conditions of personal identity (PI) over time (diachronic) are traditionally separated. Hence, the transition between both timescales of a person's life remains largely unclear. Personal habits reflect a decision-making (DM) process that binds together synchronic and diachronic timescales. Despite the fact that the actualization of habits takes place synchronically, they presuppose, for the possibility of their generation, time in a diachronic (...) sense. The acquisition of habits therefore rests upon PI over time; that is, the temporal extension of personal decisions is the necessary condition for the possible development of habits. Conceptually, habits can thus be seen as a bridge between synchronic and diachronic timescales of a person's life. In order to investigate the empirical mediation of this temporal linkage, we draw upon the neuronal mechanisms underlying DM; in particular on the distinction between internally and externally guided DM. Externally guided DM relies on external criteria at a specific point in time (synchronic); on a neural level, this has been associated with lateral frontal and parietal brain regions. In contrast, internally guided DM is based on the person's own preferences that involve a more longitudinal and thus diachronic timescale, which has been associated with the brain's intrinsic activity. Habits can be considered to reflect a balance between internally and externally guided DM, which implicates a particular temporal balance between diachronic and synchronic elements, thus linking two different timescales. Based on such evidence, we suggest a habit-based neurophilosophical approach of PH and PI by focusing on the empirically-based linkage between the synchronic and diachronic elements of habits. By doing so, we propose to link together what philosophically has been described and analyzed separately as PH and PI. (shrink)

Several types of inferences are employed in the diagnosis and prognosis of patients with brain injuries and disorders of consciousness. These inferences introduce unavoidable uncertainty, and can be evaluated in light of inductive risk: the epistemic and nonepistemic risks of being wrong. This article considers several ethically significant inductive risks generated by and interacting with inferences about patients with disorders of consciousness, and argues for prescriptive measures to manage and mitigate inductive risk in the context of disorders of consciousness.

When a professor from Middle Europe teaches Computer Ethics in the Middle East using a textbook from the US, cultural differences become apparent. A main challenge lies in avoiding cultural imperialism during teaching. In order to meet this challenge, personal portfolios have been used for course work. The course design as well as portfolio tasks are presented and experiences are discussed. Based on our experiences we recommend applying this approach to equally overcome effects of group dynamics in similar courses as (...) well as to bridge the generational gap that normally exists between students and professors. (shrink)

Language has a rich typology of inferential types. It was recently shown that subjects are able to divide the informational content of new visual stimuli among the various slots of the inferential typology: when gestures or visual animations are used in lieu of specific words in a sentence, they can trigger the very same inferential types as language alone (Tieu et al., 2019 ). How general are the relevant triggering algorithms? We show that they extend to the auditory modality and (...) to music cognition. We tested whether pro-speech musical gestures, i.e. musical excerpts that replace words in sentences, can give rise to the same inferences. We show that it is possible to replicate the same typology of inferences using pro-speech music. Minimal and complex musical excerpts can behave just like language, gestures, and visual animations with respect to the logical behavior of their content when embedded in sentences. Specifically, we found that pro-speech music can generate scalar implicatures, presuppositions, supplements, and homogeneity inferences. (shrink)

This paper discusses the possibility of modelling inductive inference (Gold 1967) in dynamic epistemic logic (see e.g. van Ditmarsch et al. 2007). The general purpose is to propose a semantic basis for designing a modal logic for learning in the limit. First, we analyze a variety of epistemological notions involved in identification in the limit and match it with traditional epistemic and doxastic logic approaches. Then, we provide a comparison of learning by erasing (Lange et al. 1996) and iterated (...) epistemic update (Baltag and Moss 2004) as analyzed in dynamic epistemic logic. We show that finite identification can be modelled in dynamic epistemic logic, and that the elimination process of learning by erasing can be seen as iterated belief-revision modelled in dynamic doxastic logic. Finally, we propose viewing hypothesis spaces as temporal frames and discuss possible advantages of that perspective. (shrink)

In pedagogical contexts and in everyday life, we often come to believe something because it would best explain the data. What is it about the explanatory endeavor that makes it essential to everyday learning and to scientific progress? There are at least two plausible answers. On one view, there is something special about having true explanations. This view is highly intuitive: it’s clear why true explanations might improve one’s epistemic position. However, there is another possibility—it could be that the process (...) of seeking, generating, or evaluating explanations itself puts one in a better epistemic position, even when the outcome of the process is not a true explanation. In other words, it could be that accurate explanations are beneficial, or it could be that high-quality explaining is beneficial, where there is something about the activity of looking for an explanation that improves our epistemic standing. The main goal of this paper is to tease apart these two possibilities, both theoretically and empirically, which we align with “Inference to the Best Explanation” and “Explaining for the Best Inference”, respectively. We also provide some initial support for EBI and identify promising directions for future research. (shrink)

Psychometric g—a statistical factor capturing intercorrelations between scores on different IQ tests—is of theoretical interest despite being a low-fidelity model of both folk psychological intelligence and its cognitive/neural underpinnings. Psychometric g idealizes away from those aspects of cognitive/neural mechanisms that are not explanatory of the relevant variety of folk psychological intelligence, and it idealizes away from those varieties of folk psychological intelligence that are not generated by the relevant cognitive/neural substrate. In this manner, g constitutes a high-fidelity bridge model of (...) the relationship between its two targets and, thereby, helps demystify the relationship between folk and scientific psychology. (shrink)

This article is concerned with social and interactional processes that simplify pragmatic acts of intention attribution. The empirical focus is a series of interactions among DeafBlind people in Seattle, Washington, where pointing signs are used to individuate objects of reference in the im-mediate environment. Most members of this community are born deaf and slowly become blind. They come to Seattle using Visual American Sign Language, which has emerged and developed in a field organized around visual modes of access. However, as (...) vision deteriorates, links be-tween deictic signs and the present, remembered, or imagined environment erode in idiosyncratic ways across the community of language-users, and it becomes increasingly difficult for partici-pants to converge on objects of reference. In the past, DeafBlind people have addressed this problem by relying on sighted interpreters. Under the influence of the recent “pro-tactile” movement, they have turned instead to one another to find new solutions to their referential prob-lems. Drawing on analyses of 120 hours of videorecorded interaction and language-use, detailed fieldnotes collected during twelve months of sustained anthropological fieldwork, and more than 15 years of involvement in this community in a range of capacities, I show how DeafBlind peo-ple are generating new and reciprocal modes of access to their environment, and how this pro-cess is aligning language with context in novel ways. I propose two mechanisms that can account for this process: deictic integration and embedding in the social field. I argue that together, these interactional and social mechanisms yield a deictic system set to retrieve a restricted range of values from the extra-linguistic context, thereby attenuating the cognitive demands of intention-attribution and narrowing the gap between DeafBlind minds. (shrink)

Classical epistemic logic describes implicit knowledge of agents about facts and knowledge of other agents, based on semantic information. The latter is produced by acts of observation or communication, that are described well by dynamic epistemic logics. What these logics do not describe, however, is how significant information is also produced by acts of inference – and key axioms of the system merely postulate “deductive closure”. In this paper, we take the view that all information is produced by acts, (...) and hence we also need a dynamic logic of inference steps showing what effort on the part of the agent makes a conclusion explicit knowledge. Strong omniscience properties of agents should be seen not as static idealizations, but as the result of dynamic processes that agents engage in. This raises two questions: (a) how to define suitable information states of agents and matching notions of explicit knowledge, (b) how to define natural processes over these states that generate new explicit knowledge. To this end, we extend earlier epistemic “awareness models” into a dynamic system that includes acts of public observation, but also adding and dropping formulas from the currently ‘entertained’ set, we give a completeness theorem, and we show how this dynamics updates explicit knowledge. Similar ideas have been proposed before, but they were restricted to update with factual propositions; our new dynamic system applies to arbitrary formulas. We also extend our approach to multi-agent scenarios where awareness changes may happen privately. Finally, we mention further directions and related approaches. (shrink)

Statistical inference is often justified by long-run properties of the sampling distributions, such as the repeated sampling rationale. These are frequentist justifications of statistical inference. I argue, in line with existing philosophical literature, but against a widespread image in empirical science, that these justifications are flawed. Then I propose a novel interpretation of probability in statistics, the artefactual interpretation. I believe that this interpretation is able to bridge the gap between statistical probability calculations and rational decisions on the (...) basis of observed data. The artefactual interpretation is able to justify statistical inference without making any assumptions about probability in the material world. (shrink)

Recent advancements in the brain sciences have enabled researchers to determine, with increasing accuracy, patterns and locations of neural activation associated with various psychological functions. These techniques have revived a longstanding debate regarding the relation between the mind and the brain: while many authors claim that neuroscientific data can be employed to advance theories of higher cognition, others defend the so-called ‘autonomy’ of psychology. Settling this significant issue requires understanding the nature of the bridge laws used at the psycho-neural interface. (...) While these laws have been the topic of extensive discussion, such debates have mostly focused on a particular type of link: reductive laws. Reductive laws are problematic: they face notorious philosophical objections and they are too scarce to substantiate current research at the intersection of psychology and neuroscience. The aim of this article is to provide a systematic analysis of a different kind of bridge laws—associative laws—which play a central, albeit overlooked role in scientific practice. (shrink)

The literature contains a disconnect between accounts of how humans learn lexical semantic representations for words. Theories generally propose that lexical semantics are learned either through perceptual experience or through exposure to regularities in language. We propose here a model to integrate these two information sources. Specifically, the model uses the global structure of memory to exploit the redundancy between language and perception in order to generate inferred perceptual representations for words with which the model has no perceptual experience. We (...) test the model on a variety of different datasets from grounded cognition experiments and demonstrate that this diverse set of results can be explained as perceptual simulation (cf. Barsalou, Simmons, Barbey, & Wilson, 2003) within a global memory model. (shrink)

The emerging field of ecological genomics promises to bring about a marriage between ecological and laboratory-based, genomic investigations. In this paper, I will reflect on this promise by exploring how ecology and genomics are integrated in the two approaches that currently dominate this field: the organism-centred approach, focusing individual organisms, and the metagenomic approach, concentrating on entire microbial communities composed of a variety of species. I will show that both approaches have already taken some important steps in bridging the (...) gap between genomics and ecology. Since the introduction of next-generation sequencing methodology in 2007, the organism-centred approach does not need to stick to classical model organisms like Arabidopsis anymore. Instead, it is now able to apply genomic tools to ecologically interesting species as well. The metagenomic approach has been able to give ecology a more prominent place in its investigations, in another way. Contrary to classical microbiology, it does not study microbial communities under controlled laboratory settings, but under nature's own conditions. However, in the marriage between genomics and ecology, genomics still appears to be the dominant partner, especially in the case of the organism-centred approach that continues to study the new ecological models in artificial lab environments. Moreover, the organism-centred and metagenomic approaches employ a gene-centred perspective in understanding critical ecological interactions, thus strengthening a reductionist rather than a holistic approach. (shrink)

Ontological principles are needed in order to bridge the gap between medical and biological information in a robust and computable fashion. This is essential in order to draw inferences across the levels of granularity which span medicine and biology, an example of which include the understanding of the roles of tumor markers in the development and progress of carcinoma. Such information integration is also important for the integration of genomics information with the information contained in the electronic patient records in (...) such a way that real time conclusions can be drawn. In this paper we describe a large multi-granular datasource built by using ontological principles and focusing on the case of colon carcinoma. (shrink)

Bridges Between Virtue Epistemology and Philosophy of Science 1 Abrol Fairweather Part I Epistemic Virtue, Cognitive Science and Situationism The Function of Perception 13 Peter J Graham Metacognition and Intellectual Virtue 33 Christopher Lepock Daring to Believe: Metacognition, Epistemic Agency and Reflective Knowledge 49 Fernando Broncano Success, Minimal Agency and Epistemic Virtue 67 Carlos Montemayor Towards a Eudaimonistic Virtue Epistemology 83 Berit Brogaard Expanding the Situationist Challenge to Reliabilism About Inference 103 Mark Alfano Inferential Abilities and Common Epistemic Goods (...) 123 Abrol Fairweather and Carlos Montemayor Part II Epistemic Virtue and Formal Epistemology Curiosity, Belief and Acquaintance 143 Ilhan Inan Epistemic Values and Disinformation 159 Don Fallis Defeasibility Without Inductivism 181 Juan Comesaña Part III Virtues of Theories and Virtues of Theorists Acting to Know: A Virtue of Experimentation 195 Adam Morton Is There a Place for Epistemic Virtues in Theory Choice? 207 Milena Ivanova Bridging a Fault Line: On Underdetermination and the Ampliative Adequacy of Competing Theories 227 Guy Axtell Epistemic Virtues and the Success of Science 247 D Tulodziecki Experimental Virtue: Perceptual Responsiveness and the Praxis of Scientific Observation 269 Shannon Vallor A Matter of Phronesis: Experiment and Virtue in Physics, A Case Study 291 Marilena Di Bucchianico Part IV Understanding, Explanation and Epistemic Virtue Knowledge and Understanding 315 Duncan Pritchard Understanding as Knowledge of Causes 329 Stephen R Grimm Knowledge, Understanding and Virtue 347 Christoph Kelp. (shrink)

Since Tolman’s paper in 1948, psychologists and neuroscientists have argued that cartographic representations play an important role in cognition. These empirical findings align with some theoretical works developed by philosophers who promote a pluralist view of representational vehicles, stating that cognitive processes involve representations with different formats. However, the inferential relations between maps and representations with different formats have not been sufficiently explored. Thus, this paper is focused on the inferential relations between cartographic and linguistic representations. To that effect, we (...) appeal to heterogeneous inference with ordinary maps and sentences. In doing so, we aim to build a model to bridge the gap between cartographic and linguistic thought. (shrink)