Contextualism in epistemology has traditionally been understood as the view that “know” functions semantically like an indexical term, encoding different contents in contexts with different epistemic standards. But the indexical hypothesis about “know” faces a range of objections. This article explores an alternative version of contextualism on which “know” is a semantically stable term, and the truth-conditional variability in knowledge claims is a matter of pragmatic enrichment. The central idea is that in contexts with stringent epistemic standards, knowledge claims are (...) narrowed: “know” is used in such contexts to make assertions about particularly demanding types of knowledge. The resulting picture captures all of the intuitive data that motivate contextualism while sidestepping the controversial linguistic thesis at its heart. After developing the view, the article shows in detail how it avoids one influential linguistic objection to traditional contextualism concerning indirect speech reports, and then answers an objection concerning the unavailability of certain types of clarification speeches. (shrink)

The words we call slurs are just plain vanilla descriptions like ‘cowboy’ and ‘coat hanger’. They don't semantically convey any disparagement of their referents, whether as content, conventional implicature, presupposition, “coloring” or mode of presentation. What distinguishes 'kraut' and 'German' is metadata rather than meaning: the former is the conventional description for Germans among Germanophobes when they are speaking in that capacity, in the same way 'mad' is the conventional expression that some teenagers use as an intensifier when they’re emphasizing (...) that social identity. That is, racists don’t use slurs because they’re derogatory; slurs are derogatory because they’re the words that racists use. To use a slur is to exploit the Maxim of Manner (or Levinson’s M-Principle) to signal one’s affiliation with a group that has a disparaging attitude towards the slur’s referent. This account is sufficient to explain all the familiar properties of slurs, such as their speaker orientation and “nondetachability,” with no need of additional linguistic mechanisms. It also explains some features of slurs that are rarely if ever explored; for example the variation in tone and strength among the different slurs for a particular group, the existence of words we count as slurs, such as 'redskin', which almost all of their users consider to be respectful, and the curious absence in Standard English of any commonly used slurs—by which I mean words used to express a negative attitude toward an entire group—for Muslims and women. (shrink)

Even if our justified beliefs are closed under known entailment, there may still be instances of transmission failure. Transmission failure occurs when P entails Q, but a subject cannot acquire a justified belief that Q by deducing it from P. Paradigm cases of transmission failure involve inferences from mundane beliefs (e.g., that the wall in front of you is red) to the denials of skeptical hypotheses relative to those beliefs (e.g., that the wall in front of you is not white (...) and lit by red lights). According to the Bayesian explanation, transmission failure occurs when (i) the subject’s belief that P is based on E, and (ii) P(Q|E) P(Q). No modifications of the Bayesian explanation are capable of accommodating such cases, so the explanation must be rejected as inadequate. Alternative explanations employing simple subjunctive conditionals are fully capable of capturing all of the paradigm cases, as well as those missed by the Bayesian explanation. (shrink)

Whether it seems that you know something depends in part upon practical factors. When the stakes are low, it can seem to you that you know that p, but when the stakes go up it'll seem to you that you don't. The apparent sensitivity of knowledge to stakes presents a serious challenge to epistemologists who endorse a stable semantics for knowledge attributions and reject the idea that whether you know something depends on how much is at stake. After arguing that (...) previous attempts to meet this challenge fall short, I offer a new solution: theunassertability account. The account starts with the observation that high stakes subjects aren't in an epistemic position to assert. We generally presuppose that knowing is sufficient for epistemically proper assertion, but this presupposition only stands up to scrutiny if we draw a distinction between two notions of epistemic propriety, and we shouldn't expect ordinary speakers to draw it. A subject in a high stakes situation who fails to draw the distinction will be led by the sufficiency claim to treat anything she isn't in a position to assert as something she isn't in a position to know. The sensitivity of epistemically proper assertion to practical factors explains the merely apparent sensitivity of knowledge to stakes. (shrink)

“Moral imagination” is the capacity to register that one’s perspective on a decision-making situation is limited, and to imagine alternative perspectives that reveal new considerations or approaches. We have developed a Moral Imagination approach that aims to drive a culture of responsible innovation, ethical awareness, deliberation, decision-making, and commitment in organizations developing new technologies. We here present a case study that illustrates one key aspect of our approach – the technomoral scenario – as we have applied it in our work (...) with product and engineering teams. Technomoral scenarios are fictional narratives that raise ethical issues surrounding the interaction between emerging technologies and society. Through facilitated role-playing and discussion, participants are prompted to examine their own intentions, articulate justifications for actions, and consider the impact of decisions on various stakeholders. This process helps developers to re-envision their choices and responsibilities, ultimately contributing to a culture of responsible innovation. (shrink)

This paper presents a dilemma for the additive model of reasons. Either the model accommodates disjunctive cases in which one ought to perform some act $$\phi $$ just in case at least one of two factors obtains, or it accommodates conjunctive cases in which one ought to $$\phi $$ just in case both of two factors obtains. The dilemma also arises in a revised additive model that accommodates imprecisely weighted reasons. There exist disjunctive and conjunctive cases. Hence the additive model (...) is extensionally inadequate. The upshot of the dilemma is that one of the most influential accounts of how reasons accrue to determine what we ought to do is flawed. (shrink)

Epistemologists have proposed various norms of assertion to explain when a speaker is in an epistemic position to assert a proposition. In this article I propose a distinct necessary condition on assertibility: that a speaker should assert only what she sensitively believes, where a subject's belief is sensitive just in case the subject would not hold it if it were false. I argue that the Sensitivity Rule underwrites simple explanations for three key features of assertibility that pose explanatory challenges to (...) other prominent proposals: the fact that assertibility is open under known entailment, the general impropriety of assertions that a lottery ticket has lost made purely on the basis of the speaker's knowledge of the odds, and the fact that assertibility varies widely with features of the conversational context. I close by considering three distinct roles the Sensitivity Rule might play in the overall theory of assertibility. (shrink)

Alvin Plantinga has argued that evolutionary naturalism (the idea that God does not tinker with evolution) undermines its own rationality. Natural selection is concerned with survival and reproduction, and false beliefs conjoined with complementary motivational drives could serve the same aims as true beliefs. Thus, argues Plantinga, if we believe we evolved naturally, we should not think our beliefs are, on average, likely to be true, including our beliefs in evolution and naturalism. I argue herein that our cognitive faculties are (...) less reliable than we often take them to be, that it is theism which has difficulty explaining the nature of our cognition, that much of our knowledge is not passed through biological evolution but learned and transferred through culture, and that the unreliability of our cognition helps explain the usefulness of science. (shrink)

We propose a ‘Moral Imagination’ methodology to facilitate a culture of responsible innovation for engineering and product teams in technology companies. Our approach has been operationalized over the past two years at Google, where we have conducted over 50 workshops with teams from across the organization. We argue that our approach is a crucial complement to existing formal and informal initiatives for fostering a culture of ethical awareness, deliberation, and decision-making in technology design such as company principles, ethics and privacy (...) review procedures, and compliance controls. We characterize some distinctive benefits of our methodology for the technology sector in particular. (shrink)

Narratologists commonly draw a distinction between the story and those things that tell the story- the tellings, as I will call them here. Here is an example intended to highlight that distinction. The Parable of the Sower is a parable found in the New Testament books of Matthew, Mark and Luke, and in the non-canonical Gospel of Thomas. Though the relevant pieces of text in the Gospels are remarkably similar, no two of the four are identical. The verses in Matthew, (...) Mark and Luke, have been translated and paraphrased, along with the rest of the Bible, into literally thousands of different languages and versions, all of which include the The Parable of the Sower. (shrink)

Achieving space domain awareness requires the identification, characterization, and tracking of space objects. Storing and leveraging associated space object data for purposes such as hostile threat assessment, object identification, and collision prediction and avoidance present further challenges. Space objects are characterized according to a variety of parameters including their identifiers, design specifications, components, subsystems, capabilities, vulnerabilities, origins, missions, orbital elements, patterns of life, processes, operational statuses, and associated persons, organizations, or nations. The Space Object Ontology provides a consensus-based realist framework (...) for formulating such characterizations in a computable fashion. Space object data are aligned with classes and relations in the Space Object Ontology and stored in a dynamically updated Resource Description Framework triple store, which can be queried to support space domain awareness and the needs of spacecraft operators. This paper presents the core of the Space Object Ontology, discusses its advantages over other approaches to space object classification, and demonstrates its ability to combine diverse sets of data from multiple sources within an expandable framework. Finally, we show how the ontology provides benefits for enhancing and maintaining longterm space domain awareness. (shrink)

Achieving space situational awareness requires, at a minimum, the identification, characterization, and tracking of space objects. Leveraging the resultant space object data for purposes such as hostile threat assessment, object identification, and conjunction assessment presents major challenges. This is in part because in characterizing space objects we reference a variety of identifiers, components, subsystems, capabilities, vulnerabilities, origins, missions, orbital elements, patterns of life, operational processes, operational statuses, and so forth, which tend to be defined in highly heterogeneous and sometimes inconsistent (...) ways. The Space Domain Ontologies are designed to provide a consensus-based realist framework for formulating such characterizations in a way that is both consistent and computable. Space object data are aligned with classes and relations in a suite of ontologies built around the existing Space Object Ontology. They are stored in a dynamically updated Resource Description Framework triple store, which can be queried to support space situational awareness and the needs of spacecraft operators and analysts. This paper provides an overview of the Space Domain Ontologies and their development and use. It presents the motivation for and advantages of the Space Domain Ontologies, including the benefits they provide for enhancing and maintaining long-term space situational awareness. (shrink)

The application of machine-learning technologies to medical practice promises to enhance the capabilities of healthcare professionals in the assessment, diagnosis, and treatment, of medical conditions. However, there is growing concern that algorithmic bias may perpetuate or exacerbate existing health inequalities. Hence, it matters that we make precise the different respects in which algorithmic bias can arise in medicine, and also make clear the normative relevance of these different kinds of algorithmic bias for broader questions about justice and fairness in healthcare. (...) In this paper, we provide the building blocks for an account of algorithmic bias and its normative relevance in medicine. (shrink)

It is widely held that agent-neutral consequentialism is incompatible with deontic constraints. Recently, Kieran Setiya has challenged this orthodoxy by presenting a form of agent-neutral consequentialism that he claims can capture deontic constraints. In this reply, we argue against Setiya's proposal by pointing to features of deontic constraints that his account fails to capture.

We have begun work on two separate but related ontologies for the study of neurological diseases. The first, the Neurological Disease Ontology (ND), is intended to provide a set of controlled, logically connected classes to describe the range of neurological diseases and their associated signs and symptoms, assessments, diagnoses, and interventions that are encountered in the course of clinical practice. ND is built as an extension of the Ontology for General Medical Sciences — a high-level candidate OBO Foundry ontology that (...) provides a set of general classes that can be used to describe general aspects of medical science. ND is being built with classes utilizing both textual and axiomatized definitions that describe and formalize the relations between instances of other classes within the ontology itself as well as to external ontologies such as the Gene Ontology, Cell Ontology, Protein Ontology, and Chemical Entities of Biological Interest. In addition, references to similar or associated terms in external ontologies, vocabularies and terminologies are included when possible. Initial work on ND is focused on the areas of Alzheimer’s and other diseases associated with dementia, multiple sclerosis, and stroke and cerebrovascular disease. Extensions to additional groups of neurological diseases are planned. The second ontology, the Neuro-Psychological Testing Ontology (NPT), is intended to provide a set of classes for the annotation of neuropsychological testing data. The intention of this ontology is to allow for the integration of results from a variety of neuropsychological tests that assay similar measures of cognitive functioning. Neuro-psychological testing is an important component in developing the clinical picture used in the diagnosis of patients with a range of neurological diseases, such as Alzheimer’s disease and multiple sclerosis, and following stroke or traumatic brain injury. NPT is being developed as an extension to the Ontology for Biomedical Investigations. (shrink)

We are developing the Neurological Disease Ontology (ND) to provide a framework to enable representation of aspects of neurological diseases that are relevant to their treatment and study. ND is a representational tool that addresses the need for unambiguous annotation, storage, and retrieval of data associated with the treatment and study of neurological diseases. ND is being developed in compliance with the Open Biomedical Ontology Foundry principles and builds upon the paradigm established by the Ontology for General Medical Science (OGMS) (...) for the representation of entities in the domain of disease and medical practice. Initial applications of ND will include the annotation and analysis of large data sets and patient records for Alzheimer’s disease, multiple sclerosis, and stroke. (shrink)

This essay examines Nietzsche’s musical ontology and situates it within the naturalist and anti-metaphysical framework evident throughout his corpus. Nietzsche often associated this position with the figure of Dionysus, which plays a leading role in The Birth of Tragedy, his most sustained consideration of music and musical ontology. The essay returns to The Birth of Tragedy in an effort to recover Nietzsche’s musical ontology and its relationship with ontology more generally. Heeding Nietzsche’s own remarks, I read this text in light (...) of his mature philosophy. My analysis draws on the work of the late twentieth-century Nietzschean, Gilles Deleuze, whose distinction between “the virtual” and “the actual” enables us to see what is really at issue in The Birth of Tragedy. (shrink)

Lake et al. propose three criteria which, they argue, will bring artificial intelligence (AI) systems closer to human cognitive abilities. In this paper, we explore the application of these criteria to a particular domain of human cognition: our capacity for moral reasoning. In doing so, we explore a set of considerations relevant to the development of AI moral decision-making. Our main focus is on the relation between dual-process accounts of moral reasoning and model-free/model-based forms of machine learning. We also discuss (...) how work in embodied and situated cognition could provide a valu- able perspective on future research. (shrink)

The Neurological Disease Ontology (ND) is being developed to provide a comprehensive framework for the representation of neurological diseases (Diehl et al., 2013). ND utilizes the model established by the Ontology for General Medical Science (OGMS) for the representation of entities in medicine and disease (Scheuermann et al., 2009). The goal of ND is to include information for each disease concerning its molecular, genetic, and environmental origins, the processes involved in its etiology and realization, as well as its clinical presentation (...) including signs and symptoms. (shrink)

We can conceive of peace in many different ways, and these differences are related to a variety of assumptions and practices we can adopt in our culture. This book is about those differences. Part I describes the ways in which we usually talk about peace. It argues that our conception is fundamentally obscure. We do not know what peace is and we do not know how to promote it. Part II develops an explanation of how peace has been obscured. It (...) has been obscured by a network of beliefs and institutions in our culture. Part III critically evaluates some key parts of this cultural web and argues that there is an alternative cluster of assumptions and practices which we ought to adopt. It is a cluster which is intrinsically better—regardless of whatever it may imply about peace. Part IV argues that it happens to imply that we should think of peace as an activity—a practice we can cultivate at high levels of excellent performance. It draws on Gandhian satyagraha, Quaker process and practices of "principled negotiation" using the Harvard model to illustrate. (shrink)

Progress in addiction science is hampered by disagreements and ambiguity around its core construct: addiction. Addiction Ontology (AddictO) offers a path to a solution of the kind that has addressed similar problems in other areas of science: a set of clearly and uniquely defined entities to which terms such as ‘addiction’, addictive disorder’ and ‘substance dependence ’can be applied for ease of reference while recognizing that it is the construct definitions and their unique IDs that are central, not the terms.

This paper provides a method for characterizing space events using the framework of conceptual spaces. We focus specifically on estimating and ranking the likelihood of collisions between space objects. The objective is to design an approach for anticipatory decision support for space operators who can take preventive actions on the basis of assessments of relative risk. To make this possible our approach draws on the fusion of both hard and soft data within a single decision support framework. Contextual data is (...) also taken into account, for example data about space weather effects, by drawing on the Space Domain Ontologies, a large system of ontologies designed to support all aspects of space situational awareness. The framework is coupled with a mathematical programming scheme that frames a mathematically optimal approach for decision support, providing a quantitative basis for ranking potential for collision across multiple satellite pairs. The goal is to provide the broadest possible information foundation for critical assessments of collision likelihood. (shrink)

This paper describes an AFOSR-supported basic research program that focuses on developing a new framework for combining hard with soft data in order to improve space situational awareness. The goal is to provide, in an automatic and near real-time fashion, a ranking of possible threats to blue assets (assets trying to be protected) from red assets (assets with hostile intentions). The approach is based on Conceptual Spaces models, which combine features from traditional associative and symbolic cognitive models. While Conceptual Spaces (...) are revolutionary, they lack an underlying mathematical framework. Several such frameworks have attempted to represent Conceptual Spaces, but by far the most robust is the model developed by Holender. His model utilizes integer linear programming in order to obtain an overall similarity value between observations and concepts that support the formation of hypotheses. This paper will describe a method for building Conceptual Spaces models for threats that utilizes ontologies as a means to provide a clear semantic foundation for this inferencing process; in particular threat ontologies and space domain ontologies are developed and employed in this approach. A space situational awareness use-case is presented involving a kinetic kill scenario and results are shown to assess the performance of this fusion-based inferencing framework. (shrink)

The Adverse Outcome Pathway (AOP) concept is a knowledge assembly and communication tool to facilitate the transparent translation of mechanistic information into outcomes meaningful to the regulatory assessment of chemicals. The AOP framework and associated knowledgebases (KBs) have received significant attention and use in the regulatory toxicology community. However, it is increasingly apparent that the potential stakeholder community for the AOP concept and AOP KBs is broader than scientists and regulators directly involved in chemical safety assessment. In this paper we (...) identify and describe those stakeholders who currently—or in the future—could benefit from the application of the AOP framework and knowledge to specific problems. We also summarize the challenges faced in implementing pathway-based approaches such as the AOP framework in biological sciences, and provide a series of recommendations to meet critical needs to ensure further progression of the framework as a useful, sustainable and dependable tool supporting assessments of both human health and the environment. Although the AOP concept has the potential to significantly impact the organization and interpretation of biological information in a variety of disciplines/applications, this promise can only be fully realized through the active engagement of, and input from multiple stakeholders, requiring multi-pronged substantive long-term planning and strategies. (shrink)

The overall goal of the approach developed in this paper is to estimate the likelihood of a given kinetic kill scenario between hostile spacebased adversaries using the mathematical framework of Complex Conceptual Spaces Single Observation. Conceptual spaces are a cognitive model that provide a method for systematically and automatically mimicking human decision making. For accurate decisions to be made, the fusion of both hard and soft data into a single decision framework is required. This presents several challenges to this data (...) fusion framework. The first is the challenge involved in handling multiple complex terminologies, which is addressed by drawing on a set of Space Domain Ontologies. Another challenge is the complex combinatorics involved when considering all possible feature combinations. This can be mitigated by using integer linear programming optimization that is outlined by the Complex Conceptual Spaces Single Observation mathematical model framework. A third challenge is the complicated physics that is involved in a spacecraft collision that must be addressed to obtain a better understanding of threat assessment. Overcoming these various challenges allows for a quantitative ranking for the potential of a kinetic kill collision across multiple spacecraft pairs. In addition to overcoming these challenges this paper will break down threat assessment into four domains and identify a ranking of threat both for each individual domain and for the four domains combined. Simulation results are shown to verify the developed concepts. (shrink)

This article proposes a sensory studies methodology for the interpretation of museum objects. The proposed method unfolds in two phases: virtual encounter via an on-line catalog and actual exposure in the context of a handling workshop. In addition to exploring the écart between image and object, the “Sensing Art and Artifacts” exercise articulates a framework for arriving at a multisensory, cross-cultural, interactive understanding of aesthetic value. The case studies presented here involve four objects from the collection of the Hunterian Museum (...) as sensed and interpreted by scholars of psychology, philosophy, sociology, and anthropology. It is proposed that aesthetic judgment in the expanded (cross-cultural) sense contemplated here involves apprehending the museum object through multiple sensory modalities in place of the conventional Western fixation on visible form. (shrink)

This article is the introductory chapter to a festschrift in honour of Geoff Hodgson. In work spanning four decades, Geoff Hodgson has made many path-breaking contributions to institutional economics, evolutionary economics, economic methodology, the history of economic thought and social theory more broadly. Hodgson’s reputation as a prolific and important writer, whose work transcends traditional disciplinary boundaries, is matched by his credentials as an academic entrepreneur, whose involvement in the formation of two international scholarly societies and the foundation (...) of the Journal of Institutional Economics has expanded the opportunities for constructive dialogue among social scientists. To celebrate Hodgon’s fantastic career, this volume brings together 19 original contributions by world-leading scholars in specific areas that have played a significant role in influencing Hodgson’s thinking or represent key debates to which he has contributed. The chapter introduces these contributions, and summarizes a conversation with Hodgson that is also included in the volume. (shrink)

This review describes central difficulties in the interdisciplinary study of dreaming, summarizes Jouvet's account of his role in the history of modern dream science, queries his positive speculations on the semantics of dreaming, and suggests work for historians of neuroscience.

Stephen Cox writes of the complexities that guided this well-known columnist, literary critic, best-selling novelist, avid reader, and intellectual, Mary Isabel Bowler Patterson, better known as Isabel Paterson or “I.M.P.” This edited collection includes a well-chosen selection of her essays, reviews, and letters. Combining both formal and colloquial prose, Paterson’s writings incorporated quips about such people as Sinclair Lewis and Henry David Thoreau, as well as candid discussions of William F. Buckley, Jr., Buffalo Bill, and Cecil Rhodes. The more than (...) one hundred names mentioned in the collection included such diverse figures as Virginia Woolf, John Pierpont Morgan, H.G. Wells, Henry Hazlitt, and Jasper Elliot Crane. (shrink)

We, the proponents of the Philosophy of Ethical Empirical Rationalism, have reviewed Heather Cox Richardson’s Democracy Awakening: Notes on the State of America and find it a case study in how modern academic work has become far too entangled with media-driven narratives, ultimately sacrificing rigor in favor of ideological amplification. While Richardson’s historical analysis provides some value, it is clear that her failure to apply empirical methods to contemporary issues, coupled with her recent appearance on a popular media platform, reveals (...) a troubling trend in academic scholarship today. (shrink)

Forty four years after the publication of Harvey Cox‟s The Secular City that celebrated “the progressive secularization of the world as the logical outcome of Biblical religion” (Newsweek)1, we almost feel the bones of religious fundamentalism cracking under the pressure of secularization. At the same time, however, the Hegelian dialectic holds ground as both refuse to be crushed by either; and any compromising stance only begets another rival; to the effect, that it can be said that fundamentalism is never a (...) phenomenon that may be extinguished. (shrink)

We discuss the mathematical structures that underlie quantum probabilities. More specifically, we explore possible connections between logic, geometry and probability theory. We propose an interpretation that generalizes the method developed by R. T. Cox to the quantum logical approach to physical theories. We stress the relevance of developing a geometrical interpretation of quantum mechanics.

In psychiatry some disorders of cognition are distinguished from instances of normal cognitive functioning and from other disorders in virtue of their surface features rather than in virtue of the underlying mechanisms responsible for their occurrence. Aetiological considerations often cannot play a significant classificatory and diagnostic role, because there is no sufficient knowledge or consensus about the causal history of many psychiatric disorders. Moreover, it is not always possible to uniquely identify a pathological behaviour as the symptom of a certain (...) disorder, as disorders that are likely to differ both in their causal histories and in their overall manifestations may give rise to very similar patterns of behaviour. -/- Consider delusions as an example. It wouldn’t be correct to define delusions as those beliefs people form as a result of a neurobiological deficit and a hypothesis-evaluation deficit (as some versions of the two-factor theory of delusions suggest), because for some delusions no neurobiological deficit may be found, and reasoning biases and motivational factors may be contributors to the formation of the delusion (e.g. McKay et al., 2005). Moreover, it would be a mistake to define delusions as symptoms of schizophrenia alone, because they occur also in other disorders, including dementia, amnesia, and delusional disorders. Thus, aetiological considerations may appear in the description and analysis of delusions, but do not feature prominently in their definition. -/- In this paper I argue that the surface features used as criteria for the classification and diagnosis of disorders of cognition are often epistemic in character. I shall offer two examples: confabulations and delusions are defined as beliefs or narratives that fail to meet standards of accuracy and justification. Although classifications and diagnoses based on features of people’s observable behaviour are necessary at these early stages of neuropsychiatric research, given the variety of conditions in which certain phenomena appear, I shall attempt to show that current epistemic accounts of confabulations and delusions have limitations. Epistemic criteria can guide both research and clinical practice, but fail to provide sufficient conditions for the identification of delusions and confabulations, and fail to demarcate pathological from non-pathological narratives or beliefs. -/- Another limitation of current epistemic accounts – which I shall not address here – is the excessive focus on epistemic faults of confabulations and delusions at the expense of their epistemically neutral or advantageous features (see Bortolotti and Cox, 2009). This may lead to a misconception of delusions and confabulations, and to an oversimplification in the assessment of the needs of people who require clinical treatment for their psychotic symptoms. (shrink)

Rohingya refugee children in Bangladesh are forced into labour both inside and outside the camps for a wide range of reasons. This article examines this situation in relation to the access to education for those children living in the camps in Cox’s Bazar. Being informed by several perspectives concerning child labour and access to schooling in developing country contexts, this research work has adopted a qualitative approach to study various factors working behind this pressing issue. After collecting data by means (...) of qualitative methods, including non-participant observations and semi-structured interviews, the researcher has analyzed the findings with these informed perspectives. Results show that lack of formal identity, limited access to the formal labour market, absence of social sanctions against child employment, lack of aspirations, household composition, and substandard living conditions are some of the key factors that drive children to engage in various forms of labour, especially outside the camps. They often work in small workshops as labourers and in the host community households as domestic workers. Undocumented children are also reported to become victims of bonded labour, sex trade, and trafficking in the region. The author argues that a lack of formal education has compounded this issue into a severe humanitarian crisis which calls for immediate support and actions from local and international agencies. (shrink)

We study the origin of quantum probabilities as arising from non-Boolean propositional-operational structures. We apply the method developed by Cox to non distributive lattices and develop an alternative formulation of non-Kolmogorovian probability measures for quantum mechanics. By generalizing the method presented in previous works, we outline a general framework for the deduction of probabilities in general propositional structures represented by lattices (including the non-distributive case).

This article evaluates the theoretical and practical grounds of recent debates around Christoph Cox’s realist project of a ‘sonic materialism’ by returning to Gilles Deleuze, a key theoretical resource for Cox. It argues that a close engagement with Deleuze’s work in fact challenges many of the precepts of Cox’s sonic materialism, and suggests a rethinking of materialism in the context of music. Turning to some aspects of Deleuze’s work neglected by Cox, the ‘realist’ ontological inquiry Cox affirms is challenged through (...) the ‘onto-ethology’ that Deleuze and Félix Guattari develop in their A Thousand Plateaus, with this diversely constructive theory of relations explicated through musical examples from John Cage and Pauline Oliveros. To conclude, this article suggests that Deleuze can indeed be understood as subscribing to a materialism, but a materialism that is practical rather than doctrinal. (shrink)

In 1949, the Department of Philosophy at the University of Manchester organized a symposium “Mind and Machine” with Michael Polanyi, the mathematicians Alan Turing and Max Newman, the neurologists Geoff rey Jeff erson and J. Z. Young, and others as participants. Th is event is known among Turing scholars, because it laid the seed for Turing’s famous paper on “Computing Machinery and Intelligence”, but it is scarcely documented. Here, the transcript of this event, together with Polanyi’s original statement and (...) his notes taken at a lecture by Jeff erson, are edited and commented for the fi rst time. Th e originals are in the Regenstein Library of the University of Chicago. Th e introduction highlights elements of the debate that included neurophysiology, mathematics, the mind-body-machine problem, and consciousness and shows that Turing’s approach, as documented here, does not lend itself to reductionism. (shrink)

This opinion paper delves into the philosophical underpinnings and implications of artificial intelligence (AI) development through the lens of Friedrich Nietzsche's "Three Metamorphoses," exploring the stages from the camel, through the lion, to the envisioned child phase within the AI context. Amidst growing concerns over AI's ethical ramifications, including job displacement, biased decision-making, and misuse potential, this analysis seeks to provide a comprehensive framework for understanding AI's evolution and its socio-technical effects on society. The discourse begins by contextualizing AI within (...) the myth of Prometheus, suggesting that, like the myth, AI development harbors both the promise of unprecedented technological advancement and the peril of unforeseen consequences. Drawing insights from various philosophical perspectives, including those of Geoff Hinton, Elon Musk, Mircea Eliade, Gunther Anders, and notable moralists and existentialists, the paper critiques the current trajectory of AI, emphasizing the need for ethical frameworks and responsible innovation. Through the metaphorical stages defined by Nietzsche—the burden-bearing camel representing AI's foundational learning phase, the rebellious lion challenging human capabilities, and the child signifying the potential for artificial general intelligence (AGI) to autonomously create values—the paper posits that AI's development parallels a transformative journey that could redefine human civilization. It argues for a balanced approach to AI development, one that harmonizes technological advancement with ethical considerations, ensuring AI's alignment with human well-being and justice. The conclusion calls for a reflective engagement with AI, urging developers and policymakers alike to consider the deeper philosophical questions posed by AI's integration into the fabric of human life. (shrink)

We discuss the relationship between logic, geometry and probability theory under the light of a novel approach to quantum probabilities which generalizes the method developed by R. T. Cox to the quantum logical approach to physical theories.

This is the co-authored--with Carolyn Korsmeyer--Introduction to the first published feminist scholarship in The Journal of Aesthetics and Art Criticism (Volume 48, Number 4, Fall 1990). Contributors included Hilde Hein, Paul Mattick, Jr., Timothy Gould, Joanne B. Waugh, Joseph Margolis, Mary Devereaux, Noel Carroll, Flo Leibowitz, Anita Silvers, Elizabeth Ann Dobie, Renee Cox, and Ellen Handler Spitz. All essays were subsequently published in an expanded book version entitled, Feminism and Tradition in Aesthetics by Penn State Press (1995).

The study is based on primary data which are collected with the help of a structured schedule from four different castes of population spread over North Tripura District and Unokuti District of Tripura. Stratified random sampling technique was applied for the collection of data at household level where the sample units are the adult women in the age group of 18 - 55 years. All the data are collected based on the criteria of balanced representation of different social castes such (...) as ST, SC, OBC and General in the sample. Altogether 90 samples have been collected. Main objective of the study is to determine the morbidity status and also to determine the key variables which affect morbidity status of the people of North Tripura. Binary logistic regression model has been applied to determine the key determinants of morbidity status. It has been found that age of the respondent, respondents per day calorie intake and educational level of the respondents are the key determinants of morbidity status of the respondents. The model as a whole explained between 30.6% (Cox & Snell R Square) and 41.1 %( Nagelkerke R Square). And ᵡ2 (6.460, N=90) =32.811. (shrink)