The emergence of modern science is a history of disentanglement, as science detached itself first from religion and then from philosophy. Jennifer Trusted in Physics and Metaphysics argues that science -- in its haste to tear itself from its historical links -- has neglected the various roles religious and philosophical ideas have actually played and continue to play in scientific thinking. This book seeks to redress the balance by exploring how metaphysical beliefs have functioned in the history of scientific inquiry (...) and discovery. By examining the history of science from the eleventh century to the present, this book shows how religious and mystical beliefs, as well as philosophical speculation, have had a considerable role in motivating scientists and inspiring scientific inquiry. Physics and Metaphysics presupposes no technical knowledge of either philosophy or science, and as such it is an ideal introduction to science and the importantforces that have shaped its history and ideas. (shrink)

Jennifer Trusted's new book argues that metaphysical beliefs are essential for scientific inquiry. The theories, presuppositions and beliefs that neither science nor everyday experience can justify are the realm of metaphysics, literally `beyond physics'. These basic beliefs form a framework for our activities and can be discovered in science, common sense and religion. By examining the history of science from the eleventh century to the present, this book shows how religious and mystical beliefs, as well as philosophical speculation have had (...) a considerable role in motivating scientists and inspiring scientific inquiry. _Physics and Metaphysics_ presupposes no technical knowledge of either philosophy or science. It is an ideal introduction to science and the important forces that have shaped its history and ideas. (shrink)

Jennifer Trusted's new book argues that metaphysical beliefs are essential for scientific inquiry. The theories, presuppositions and beliefs that neither science nor everyday experience can justify are the realm of metaphysics, literally `beyond physics'. These basic beliefs form a framework for our activities and can be discovered in science, common sense and religion. By examining the history of science from the eleventh century to the present, this book shows how religious and mystical beliefs, as well as philosophical speculation have had (...) a considerable role in motivating scientists and inspiring scientific inquiry. _Physics and Metaphysics_ presupposes no technical knowledge of either philosophy or science. It is an ideal introduction to science and the important forces that have shaped its history and ideas. (shrink)

He emergence of modern science is a history of disentanglement, as science detached itself first from religion and then from philosophy. Jennifer Trusted in Physics and Metaphysics argues that science -- in its haste to tear itself from its historical links -- has neglected the various roles religious and philosophical ideas have actually played and continue to play in scientific thinking. This book seeks to redress the balance by exploring how metaphysical beliefs have functioned in the history of scientific inquiry (...) and discovery. By examining the history of science from the eleventh century to the present, this book shows how religious and mystical beliefs, as well as philosophical speculation, have had a considerable role in motivating scientists and inspiring scientific inquiry. Physics and Metaphysics presupposes no technical knowledge of either philosophy or science, and as such it is an ideal introduction to science and the importantforces that have shaped its history and ideas. (shrink)

The purpose of this book is to show how the science of biology has been influenced by ethical, religious, social, cultural and philosophical beliefs as to the nature of life and our human place in the natural world. It follows that there are accounts of theories and investigations from those of Aristotle to research in molecular biology today. These have been selected to illustrate the theme and there is no intention to present a comprehensive history of biology. It is suggested (...) that ethical beliefs in particular have a greater influence in biology than in other sciences, such as physics and chemistry, and this is because biology includes the study of ourselves and involves us in consideration of the value and purpose of life. Attitudes to non-human life are also coloured by ethical beliefs and though some philosophers, for example Descartes, thought that only human beings were capable of thought and feeling the general view has always been that animals were sentient. Our treatment of animals and our attitudes toward them have also been conditioned by religious views as to the position of humans in relation to the natural world. (shrink)

In light of a history of an unethical news media system used by the state as an instrument of oppression, media ethics in South Africa is intended to uphold the foundational tenets of journalism and play a pivotal role in addressing issues of diversity, equity, and social justice. Most recently, the 2021 Inquiry into Media Ethics and Credibility report instructed media watchdogs, such as the South African Press Council, to track data concerning ethical breaches based on the potential that such (...) data can contribute to transparency and accountability. This study examines the trends in ethical issues raised in rulings by the South African Press Council (PCSA) over the period 2018–2022. Our analysis found that most of the South African news media publications registered with PCSA have a good track record when it comes to upholding ethical standards. However, a few publications have a disproportionate share of the complaints against them. (shrink)

A short account of the philosophy of knowledge for students reading philosophy for the first time. It also serves as a general introduction to those interested in the subject.

Let E be a set of n propositions E1, ..., En. We seek a probabilistic measure C(E) of the ‘degree of coherence’ of E. Intuitively, we want C to be a quantitative, probabilistic generalization of the (deductive) logical coherence of E. So, in particular, we require C to satisfy the following..

According to probabilistic theories of reasoning in psychology, people's degree of belief in an indicative conditional `if A, then B' is given by the conditional probability, P(B|A). The role of language pragmatics is relatively unexplored in the new probabilistic paradigm. We investigated how consequent relevance a ects participants' degrees of belief in conditionals about a randomly chosen card. The set of events referred to by the consequent was either a strict superset or a strict subset of the set (...) of events referred to by the antecedent. We manipulated whether the superset was expressed using a disjunction or a hypernym. We also manipulated the source of the dependency, whether in long-term memory or in the stimulus. For subset-consequent conditionals, patterns of responses were mostly conditional probability followed by conjunction. For superset-consequent conditionals, conditional probability responses were most common for hypernym dependencies and least common for disjunction dependencies, which were replaced with responses indicating inferred consequent irrelevance. Conditional probability responses were also more common for knowledge-based than stimulus-based dependencies. We suggest. (shrink)

This chapter provides an overview of a range of probabilistic theories of causality, including those of Reichenbach, Good and Suppes, and the contemporary causal net approach. It discusses two key problems for probabilistic accounts: counterexamples to these theories and their failure to account for the relationship between causality and mechanisms. It is argued that to overcome the problems, an epistemic theory of causality is required.

This paper examines Patrick Suppes’ probabilistic theory of causality understood as a theory of causal inference, and draws some lessons for empirical economics and contemporary debates in the foundations of econometrics. It argues that a standard method of empirical economics, multiple regression, is inadequate for most but the simplest applications, that the Bayes’ nets approach, which can be understood as a generalisation of Suppes’ theory, constitutes a considerable improvement but is still subject to important limitations, and (...) that the currently fashionable ‘design-based approach’ suffers from the same flaws Suppes anticipated a long time ago. It then sketches an alternative in response, one that differs drastically from the formalisms Suppes endorsed but is consistent with his pragmatic general take on science. (shrink)

Bonjour (1985: 101 and 1999: 124) and other coherence theorists of justification before him (e.g. Ewing, 1934: 246) have complained that we do not have a satisfactory analysis of the notion of coherence. The problem with existing accounts of coherence is that they try to bring precision to our intuitive notion of coherence independently of the particular role that it is meant to play within the coherence theory of justification (e.g Lewis, 1946: 338). This is a mistake: it does (...) not make any sense to ask what precisely makes for a more coherent information set independently of the particular role that coherence is supposed to play within the context in question. What is this context and what is this role? The coherence theory of justification rides on a particular common sense intuition: when we gather information from less than fully reliable sources, then the more coherent the story that materializes is, the more confident we may be, ceteris paribus. Within the context of information gathering from certain types of sources, coherence is a property of stories which plays a confidence boosting role. But what features should the information sources have, so that the coherence of the information set is indeed a determinant of our degree of confidence in question? And what goes into the ceteris paribus clause? In other words, what other factors affect our confidence in the information set in question? (shrink)

Larry Wright and others have advanced causal accounts of functional explanation, designed to alleviate fears about the legitimacy of such explanations. These analyses take functional explanations to describe second order causal relations. These second order relations are conceptually puzzling. I present an account of second order causation from within the framework of Eells' probabilistic theory of causation; the account makes use of the population-relativity of causation that is built into this theory.

In this paper I provide a probabilistic account of factual knowledge,[1] based on the notion of chance.[2] This account has some affinity with my chance account of token causation,[3] but it neither relies on it nor presupposes it. Here I concentrate on the core cases of perceptual knowledge and of knowledge by memory (based on perception). The analysis of knowledge presented below is externalist; but pursuing such an analysis need not detract from the significance of attempts to flesh out (...) justificational analyses knowledge; indeed, I have pursued such an analysis in great detail myself. (shrink)

In this book Zagzebski gives an extended argument that the self-reflective person is committed to belief on authority. Epistemic authority is compatible with autonomy, but epistemic self-reliance is incoherent. She argues that epistemic and emotional self-trust are rational and inescapable, that consistent self-trust commits us to trust in others, and that among those we are committed to trusting are some whom we ought to treat as epistemic authorities, modeled on the well-known principles of authority of Joseph Raz. (...) These principles apply to authority in the moral and religious domains. (shrink)

This paper attempts to set up a probabilistic framework for understanding the notion of causal necessity. What results is a relaxed and relativized probabilistic theory of epsilon-Causal necessity and an explicit attempt to avoid deterministic assumptions. The theory developed emphasizes the notions of partial cause, Causal contribution, And the degree of contribution. Implications for causal overdetermination, Causal preemption, And causal discourse are discussed.

A Telic Theory of Trust approaches trust as a kind of aimed performance, capable of not only success but also of competence and aptness. J. Adam Carter shows how this illuminate the nature of trust, the difference between good and bad trusting, and practices of cooperation in general.

Algebraic theories for extensive measurement are traditionally framed in terms of a binary relation $\lesssim $ and a concatenation (x,y)→ xy. For situations in which the data is "noisy," it is proposed here to consider each expression $y\lesssim x$ as symbolizing an event in a probability space. Denoting P(x,y) the probability of such an event, two theories are discussed corresponding to the two representing relations: p(x,y)=F[m(x)-m(y)], p(x,y)=F[m(x)/m(y)] with m(xy)=m(x)+m(y). Axiomatic analyses are given, and representation theorems are proven in detail.

I advance a new theory of causal relevance, according to which causal claims convey information about conditional probability functions. This theory is motivated by the problem of disjunctive factors, which haunts existing probabilistic theories of causation. After some introductory remarks, I present in Section 3 a sketch of Eells's (1991) probabilistic theory of causation, which provides the framework for much of the discussion. Section 4 explains how the problem of disjunctive factors arises within this framework. (...) After rejecting three proposed solutions, I offer in Section 6 a new approach to causation that avoids the problem. Decision-theoretic considerations also support the new approach. Section 8 develops the consequences of the new theory for causal explanation. The resulting theory of causal explanation incorporates the new insights while respecting important work on scientific explanation by Salmon (1971), Railton (1981), and Humphreys (1989). My conclusions are enumerated in Section 9. (shrink)

Germund Hesslow has argued recently [2] that a probabilistic theory of causality as advocated by Patrick Suppes [4] has two problems that a deterministic theory avoids. In this paper, I argue that Suppes' probabilistic causal calculus is free of each of these problems and, moreover, that several broader issues raised by Hesslow's discussion tend to support a probabilistic conception of causes.

This paper develops axiomatic foundations for a probabilistic-interventionist theory of causal strength. Transferring methods from Bayesian confirmation theory, I proceed in three steps: I develop a framework for defining and comparing measures of causal strength; I argue that no single measure can satisfy all natural constraints; I prove two representation theorems for popular measures of causal strength: Pearl's causal effect measure and Eells' difference measure. In other words, I demonstrate these two measures can be derived from a (...) set of plausible adequacy conditions. The paper concludes by sketching future research avenues. (shrink)

Probability theory, epistemically interpreted, provides an excellent, if not the best available account of inductive reasoning. This is so because there are general and definite rules for the change of subjective probabilities through information or experience; induction and belief change are one and same topic, after all. The most basic of these rules is simply to conditionalize with respect to the information received; and there are similar and more general rules. 1 Hence, a fundamental reason for the epistemological success (...) of probability theory is that there at all exists a well-behaved concept of conditional probability. Still, people have, and have reasons for, various concerns over probability theory. One of these is my starting point: Intuitively, we have the notion of plain belief; we believe propositions2 to be true (or to be false or neither). Probability theory, however, offers no formal counterpart to this notion. Believing A is not the same as having probability 1 for A, because probability 1 is incorrigible3; but plain belief is clearly corrigible. And believing A is not the same as giving A a probability larger than some 1 - c, because believing A and believing B is usually taken to be equivalent to believing A & B.4 Thus, it seems that the formal representation of plain belief has to take a non-probabilistic route. Indeed, representing plain belief seems easy enough: simply represent an epistemic state by the set of all propositions believed true in it or, since I make the common assumption that plain belief is deductively closed, by the conjunction of all propositions believed true in it. But this does not yet provide a theory of induction, i.e. an answer to the question how epistemic states so represented are changed tbrough information or experience. There is a convincing partial answer: if the new information is compatible with the old epistemic state, then the new epistemic state is simply represented by the conjunction of the new information and the old beliefs. This answer is partial because it does not cover the quite common case where the new information is incompatible with the old beliefs. It is, however, important to complete the answer and to cover this case, too; otherwise, we would not represent plain belief as conigible. The crucial problem is that there is no good completion. When epistemic states are represented simply by the conjunction of all propositions believed true in it, the answer cannot be completed; and though there is a lot of fruitful work, no other representation of epistemic states has been proposed, as far as I know, which provides a complete solution to this problem. In this paper, I want to suggest such a solution. In [4], I have more fully argued that this is the only solution, if certain plausible desiderata are to be satisfied. Here, in section 2, I will be content with formally defining and intuitively explaining my proposal. I will compare my proposal with probability theory in section 3. It will turn out that the theory I am proposing is structurally homomorphic to probability theory in important respects and that it is thus equally easily implementable, but moreover computationally simpler. Section 4 contains a very brief comparison with various kinds of logics, in particular conditional logic, with Shackle's functions of potential surprise and related theories, and with the Dempster - Shafer theory of belief functions. (shrink)

When young children confront a vast array of adults' testimonial claims, they should decide which testimony to endorse. If they are unable to immediately verify the content of testimonial assertions, children adopt or reject their informants' statements on the basis of forming trust in the sources of testimony. This kind of trust needs to be based on some underlying reasons. The rational choice theory, which currently dominates the social, cognitive, and psychological sciences, posits that trust should (...) be formed on a rational basis, as a result of probabilistic assessments and utility‐maximizing calculations. In this paper, the predictions stemming from the rational choice approach to trust are systematically compared with the empirical evidence from the field of developmental psychology on how children establish their trust in testimonial statements. The results of this comparison demonstrate an obvious inadequacy of the rational choice explanation of the emergence and development of children's testimonial trust, regardless of which form of trust rationality—weighting, threshold, or ordering—is examined. As none of the three forms of rationality of children's trust in testimony squares with the empirical data, this paper introduces a new version of trust rationality, adaptively rational trust. It explores the compatibility of the concept of adaptively rational trust with the recent empirical findings in the area of developmental psychology and addresses some avenues for future research on the rationality of testimonial trust. (shrink)

Acknowledgements Andrea Scarantino, Nicholas Shea, Mark Sprevak, and three anonymous referees provided incisive and constructive comments, for which I am very grateful. In 2012, earlier versions of this paper were delivered in Edinburgh, at the Joint Session in Stirling, and at a workshop on natural information in Aberdeen. I thank participants for their feedback.

This paper derives a mathematical expression giving the development of the probability of a scientific hypothesis with the number of confirming tests, as determined by Bayes's theorem, in a special case in which all the tests are "independent" of one another. The simple expression obtained shows clearly how the various factors influence the growth of the probability. The result is used to set a numerical lower bound on the probabilities representing the a priori beliefs of humans in generalizations that become (...) accepted. By making a comparison with the predictions of a "logical atomic" model in the case of physical laws, it is argued that humans have significant a priori "knowledge" in a weak sense. (shrink)

Background:Despite the growing importance of spiritual care, the delivery of spiritual care is still an area of disagreement among healthcare providers.Objective:To develop a grounded theory about spiritual care delivery based on Iranian nurses’ perceptions and experiences.A grounded theory approach:A qualitative study using the grounded theory approach.Participants and research context:Data were collected through holding 27 interviews with 25 participants. The study setting was the Imam Khomeini Hospital Complex. Sampling was started purposively and continued theoretically. Data analysis was performed (...) by the method proposed by Strauss and Corbin.Ethical consideration:The study was approved by the Ethics Committee of Tarbiat Modares University and the agreement of the administrators of the study setting was got before starting the study.Results:The core category of the study was “Trust building” which reflected the nature of spiritual care delivery by nurses. Trust building was the result of eight main categories or strategies including creating a positive mentality at hospital admission, understanding patients in care circumstances, having a caring presence, adhering to care ethics, developing meaningful relationships, promoting positive thinking and energy, establishing effective communication with patients, and attempting to create a safe therapeutic environment. Poor interprofessional coordination negatively affected this process while living toward developing greater cognizance of divinity and adhering to the principles of professional ethics facilitated it. The outcome of the process was to gain a sense of partial psychological security.Conclusion:The “Trust building” theory can be used as a guide for describing and expanding nurses’ roles in spiritual care delivery, developing care documentation systems and clinical guidelines, and planning educational programs for nursing students and staff nurses. (shrink)

The chief aim of the paper is to argue for a two-level theory of trust consisting of basic and intentional trust. The paper sets out by comparing the concepts of trust and justice to highlight the double meaning of trust as a descriptive social phenomenon and an evaluative normative term. It is subsequently argued that the conceptions of trust known from political science and recent philosophical debates of trust do not capture this double (...) meaning of trust as the former focuses on trust as a social phenomenon while the latter focuses on the normative aspect. As an alternative I develop a two-level theory of trust where basic trust, understood in accordance with sociologist Harold Garfinkel’s conception of trust, is combined with a conception of intentional trust as a willed response to breaches in the social expectancies. Finally, the social philosophical consequences of the two-level theory of trust are indicated in a brief recapitulation of the comparison of trust and justice. (shrink)

David Danks. Psychological Theories of Categorizations as Probabilistic Models.

How Journalists Engage: A theory of trustbuilding, identity, and care explores the ways journalists of different identities enact trusting relationships with their audiences according to divergent sets of principles. Drawing from case studies, community work, surveys, interviews and focus groups, this book documents the now-established "built environment" powered with engagement journalism that represents the first major paradigm shift of the press' core values in more than a century. A proliferation of media-trust programs, grants, foundations, companies, collaborations, networks, and (...) money demands that journalists take on four new roles-Relationship Builder, Content Collaborator, Community Conversation Facilitator, and Professional Network Builder-and be fluent in eight skillsets: radical transparency, power dynamic accounting, mediation, reciprocity, media literacies, community offline work, needs/assets/solution analyses, and collaborative production. These are in addition to the normative skills related to being a watchdog and storyteller. The author posits that this trust-building theory manifesting demands journalism be enacted with an "identity-aware care" through "listening and learning." This identity-aware ethic of care-a theory that comes from developmental psychology and nurtured in gender and women's studies-prioritizes communities over the propping up of problematic institutions that news media have traditionally protected in the name of objectivity. Instead, this theory asks journalists to acknowledge and incorporate their own identities-especially the privileges, biases, and marginalization attached to them-and those of their communities, resulting in a more intentional moral voice focused on justice and equity so that all news participants can feel cared for within information-exchange about public affairs. (shrink)

We study probabilistic characterisation of a random model of a finite set of first order axioms. Given a set of first order axioms.

An assurance theory of trust begins from the act of assurance – whether testimonial, advisorial or promissory – and explains trust as a cognate stance of resting assured. My version emphasizes the risks and rewards of trust. On trust’s rewards, I show how an assurance can give a reason to the addressee through a twofold exercise of ‘normative powers’: (i) the speaker thereby incurs an obligation to be sincere; (ii) if the speaker is trustworthy, she (...) thereby gives her addressee the reason. Each claim is controversial; my contribution lies in how I defend them together, linking the sincerity obligation to the provision of reasons. On trust’s risks, I defend a popular thesis about the nature of trust – that trust differs from mere reliance in how it risks betrayal – against the objection that the thesis ‘moralizes’ trust. Such betrayal need not be moral, I argue, because it may derive entirely from how the assurance purports to provide a reason. (shrink)

This paper discusses the prospects of a comprehensive philosophical account of promising that relies centrally on the notion of trust. I lay out the core idea behind the Trust View, showing how it convincingly explains the normative contours and the unique value of our promissory practice. I then sketch three distinct options of how the Trust View can explain the normativity of promises. First, an effect based-view, second, a view drawing on a wider norm demanding respect to (...) those whom one has invited to something, and finally, as a new suggestion, a Normative Interest View. This view holds that promising is a normative power that serves our interest in facilitating or enabling the relationship of trust between promisor and promisee. I argue that only those embracing the third view can fully account for the distinctive obligation that results from the giving of a valid promise in all cases. (shrink)

Probabilistic methods are providing new explanatory approaches to fundamental cognitive science questions of how humans structure, process and acquire language. This review examines probabilistic models defined over traditional symbolic structures. Language comprehension and production involve probabilistic inference in such models; and acquisition involves choosing the best model, given innate constraints and linguistic and other input. Probabilistic models can account for the learning and processing of language, while maintaining the sophistication of symbolic models. A recent burgeoning of (...) theoretical developments and online corpus creation has enabled large models to be tested, revealing probabilistic constraints in processing, undermining acquisition arguments based on a perceived poverty of the stimulus, and suggesting fruitful links with probabilistic theories of categorization and ambiguity resolution in perception. (shrink)

In any probabilistic theory, we say that a bipartite state ω on a composite system AB steers its marginal state ω B if, for any decomposition of ω B as a mixture ω B =∑ i p i β i of states β i on B, there exists an observable {a i } on A such that the conditional states $\omega_{B|a_{i}}$ are exactly the states β i . This is always so for pure bipartite states in quantum mechanics, (...) a fact first observed by Schrödinger in 1935. Here, we show that, for weakly self-dual state spaces (those isomorphic, but perhaps not canonically isomorphic, to their dual spaces), the assumption that every state of a system A is steered by some bipartite state of a composite AA consisting of two copies of A, amounts to the homogeneity of the state cone. If the state space is actually self-dual, and not just weakly so, this implies (via the Koecher-Vinberg Theorem) that it is the self-adjoint part of a formally real Jordan algebra, and hence, quite close to being quantum mechanical. (shrink)