How have we come by our worldviews, and what influence did Christianity have on those that are common to Western civilization?

Numerous searches have failed to identify a single co-occurrence of total blindness and schizophrenia. Evidence that blindness causes loss of certain NMDA-receptor functions is balanced by reports of compensatory gains. Connections between visual and anterior cingulate NMDA-receptor systems may help to explain how blindness could protect against schizophrenia.

Albert Einstein insists that his epistemology made his discovery of relativity possible. He believed it was his understanding of the relationship of experience and reason that allowed him to reconsider certain “truths” of physics. Specifically, he believed that reality and thought were independent but related, and that conceptual systems are independent of but conditioned by experience. Failure to understand the relation between experience and reason had, Einstein believed, limited progress in science. His understanding of the relation, on the other hand, (...) enabled him to formulate relativity theory and therefore provides one example of the relevance of philosophy to scientific inquiry. When Albert Einstein discussed his discoveries in physics, particularly the theory of relativity, he often began with an explanation of his epistemology and referred to thinkers like Hume and Kant. Einstein may have been a physicist, but he had definite ideas about how we know and regarded epistemological theories as crucial to science, especially to physics. Indeed, he placed such importance on the question of how we know that the discussion of his work in his “Autobiographical Notes” begins with the question, “What, precisely, is ‘thinking?'” (1951, 7). The correct answer to this philosophical question, he believed, makes progress in science possible. The present article focuses on the relationship of the two elements, experience and reason, in Einstein's epistemology. Einstein himself frequently concentrates on what he characterizes as “the eternal antithesis between the two inseparable components of our knowledge, the empirical and the rational” (1934b, 271) in his papers and lectures on physics, for he regards them as independent in origin but related in scientific truth. His insistence that experience and reason do not determine one another yet must be related proved, for him, to be a necessary but not sufficient condition for the formulation of relativity theory and for scientific progress in general. The discussion of the relationship has four parts. First, experience and reason are explained; included in this explanation are Einstein's reasons for maintaining that the two are independent. The second section discusses the connection between the two that produces truth and knowledge. The third section follows with discussion of the way that Einstein believes reason can be both conditioned by and independent of experience. Finally, the significance of this understanding of the relation for relativity theory is examined. (shrink)

A long-standing puzzle for moral philosophers and psychologists alike is the concept of psychopathy, a personality disorder marked by tendencies to defy moral norms despite cognitive knowledge about right and wrong. Previously, discussions of the moral deficits of psychopathy have focused on willingness to harm and cheat others as well as reasoning about rule-based transgressions. Yet recent research in moral psychology has begun to more clearly define the domains of morality, en- compassing issues of harm, fairness, loyalty, authority, and spiritual (...) purity. Clinical descriptions and theories of psychopathy suggest that deficits may exist primarily in the areas of harm and fairness, although quantitative evidence is scarce. Within a broad sample of participants, we found that scores on a measure of psychopathy predicted sharply lower scores on the harm and fairness subscales of a measure of moral concern, but showed no relationship with authority, and very small relationships with ingroup and purity. On a measure of willingness to violate moral standards for money, psychopathy scores predicted greater willingness to violate moral concerns of any type. Results are further explored via potential mediators and analyses of the two factors of psychopathy. (shrink)

Increasing evidence from psychology and neuroscience suggests that emotion plays an important and sometimes critical role in moral judgment and moral behavior. At the same time, there is increasing psychological and neuroscientific evidence that brain regions critical in emotional and moral capacity are impaired in psychopaths. We ask how the criminal law should accommodate these two streams of research, in light of a new normative and legal account of the criminal responsibility of psychopaths.

Gottfried Wilhelm Leibniz was one of the central figures of seventeenth-century philosophy, and a huge intellectual figure in his age. This book from Glenn A. Hartz is an advanced study of Leibniz's metaphysics. Hartz analyzes a very complicated topic, widely discussed in contemporary commentaries on Leibniz, namely the question of whether Leibniz was a metaphysical idealist, realist, or whether he tried to reconcile both trends in his mature philosophy. Because Leibniz is notoriously unclear about this, much has been written (...) on the subject. In recent years, the debate has centered on whether it is possible to maintain compatibility between the two trends. In this controversial book, Hartz demonstrates that it is not possible to maintain compatibility of idealist and realist views - they must be understood as completely separate theories. As the first major work on realism in Leibniz's metaphysics, this key text will interest international Leibniz scholars, as well as students at the graduate level. (shrink)

This is the first English translation of Proclus' commentary on Plato's Parmenides. Glenn Morrow's death occurred while he was less than halfway through the translation, which was completed by John Dillon. A major work of the great Neoplatonist philosopher, the commentary is an intellectual tour de force that greatly influenced later medieval and Renaissance thought. As the notes and introductory summaries explain, it comprises a full account of Proclus' own metaphysical system, disguised, as is so much Neoplatonic philosophy, in (...) the form of a commentary. (shrink)

Siniscalchi, Glenn B Undoubtedly, the unique mediatorial role that Jesus has for salvation has been defended by Christians from the earliest days of the church. In recent years some theologians have tried to reverse the church's traditional understandings of Jesus for the sake of reinterpreting Catholic doctrine in more defensible terms in the modern world. Sometimes these revised understandings of Christ's uniqueness result in unacceptable versions of 'religious pluralism'. In essence, these religious pluralists deny the unique salvific role of (...) Jesus Christ. (shrink)

This essay initiates a fundamental discussion about education’s nature and character, and raises the questions: Is education reliant on other disciplines as, for example, psychology, sociology and philosophy? Or may education be thought of independently, without being reliant on other disciplines? These questions are discussed in the light of Theodor Litt’s educational reading of Hegel’s understanding of dialectics, as it appears in the book Phenomenology of Spirit, in order to support that education has a relational and dialectic nature. In the (...) second part, we connect the concept of ‘Hegelian dialectic structure’ with scientific theory. More specifically, we introduce a theoretically oriented concept, based on semantic theory construction; namely, ‘relational parameter bundles’. This concept clarifies the difference between education and other ‘scientific,’ often more empirically based disciplines, such as psychology, on which education, or rather, educational researchers, traditionally rely. Through our theoretical approach we aim to uncover fundamental differences within different disciplines’ scientific thinking, and their use of theories and models, which then manifest themselves in the discipline’s scientific assessments and practical actions. An uncritical integration of other disciplines in education may destroy the ‘true’ nature of education, and thus pose a danger to education’s character, problem areas and ways of conducting research. That does not mean that education shall be isolated from other disciplines, it is rather a question of when perspectives from other disciplines should be included in educational matters. Not before the educational questions are raised and worked through will it be appropriate to obtain knowledge from other disciplines, if, that is, it is deemed necessary based on educational judgment. (shrink)

This paper examines the identity of Asian swamp buffalo (Bubalus bubalis) from different value orientations. Buffalo were introduced into Northern (Top End) Australia in the early nineteenth century. A team of transdisciplinary researchers, including an ethicist, has been engaged in field research on feral buffalo in Arnhem Land over the past three years. Using historical documents, literature review, field observations, interviews with key informants, and interaction with the Indigenous land owners, an understanding of the diverse views on the scientific, cultural, (...) and economic significance of buffalo was obtained. While the diverse stakeholders in buffalo exploitation and management have historically delivered divergent value orientations on the nature of the human–buffalo relationship, we argue that over time there is the possibility of values and ethical convergence. Such convergence is possible via transdisciplinary and transcultural agreement on the value stances that constitute the construction of the being or identity of buffalo in the face of the overwhelming need to manage population density and gross numbers. (shrink)

Psychopathy is characterized by pronounced emotional deficits, yet individuals with psychopathic traits generally understand the law and the likely punishments for violating it. Vitacco, Erickson, and Lishner (2013) suggest that because of this appreciation, there is no question that psychopaths are criminally responsible. We make the modest argument that increasing psychological and neurological evidence calls into question whether conventional assumptions about an offender’s culpable states of mind hold true for psychopaths. It is likely, we suggest, that a wide range of (...) deficits found in psychopaths impair their ability to calculate risks of harm and utilize information about the consequences of their behavior. (shrink)

THE ART OF CAUSAL CONJECTURE Glenn Shafer Table of Contents Chapter 1. Introduction........................................................................................ ...........1 1.1. Probability Trees..........................................................................................3 1.2. Many Observers, Many Stances, Many Natures..........................................8 1.3. Causal Relations as Relations in Nature’s Tree...........................................9 1.4. Evidence............................................................................................ ...........13 1.5. Measuring the Average Effect of a Cause....................................................17 1.6. Causal Diagrams..........................................................................................20 1.7. Humean Events............................................................................................23 1.8. Three Levels of Causal Language................................................................27 1.9. An Outline of the Book................................................................................27 Chapter 2. Event Trees............................................................................................... .....31 2.1. Situations and Events...................................................................................32 2.2. The Ordering of Situations and Moivrean Events.......................................35 2.3. Cuts................................................................................................ ..............39 2.4. Humean Events............................................................................................43 (...) 2.5. Moivrean Variables......................................................................................49 2.6. Humean Variables........................................................................................53 2.7. Event Trees for Stochastic Processes...........................................................54 2.8. Timing in Event Trees.................................................................................56 2.9. Intersecting Event Trees...............................................................................60 2.10. Notes on the Literature...............................................................................61 Chapter 3. Probability Trees...........................................................................................63 3.1. Some Types of Probability Trees.................................................................64 ii 3.2. Axioms for the Probabilities of Moivrean Events.......................................68 3.3. Zero Probabilities....................................................................................... ..70 3.4. A Sample-Space Analysis of the Event-Tree Axioms.................................72 3.5. Probabilities and Expected Values for Variables.........................................74 3.6. Martingales......................................................................................... .........79 3.7. The Expectation of a Variable in a Cut........................................................83 3.8. Conditional Expected Value and Conditional Expectation.........................87 Chapter 4. The Meaning of Probability...........................................................................91 4.1. The Interpretation of Expected Value..........................................................92 4.2. The Interpretation of Expectation................................................................95 4.3. The Long Run..............................................................................................98 4.4. Changes in Belief.........................................................................................101 4.5. The Empirical Validation of Probability......................................................106 4.6. The Diversity of Uses of Probability...........................................................108 4.7. Notes on the Literature.................................................................................110 Chapter 5. Independent Events.......................................................................................113 5.1. Independence........................................................................................ .......114 5.2. Weak Independence.....................................................................................118 5.3. The Principle of the Common Cause...........................................................121 5.4. Conditional Independence............................................................................128 5.5. Notes on the Literature.................................................................................133 Chapter 6. Events Tracking Events.................................................................................135 6.1. Tracking............................................................................................ ...........137 6.2. Tracking and Conditional Independence.....................................................142 6.3. Stochastic Subsequence...............................................................................143 6.4. Singular Diagrams for Stochastic Subsequence...........................................147 6.5. Conjunctive and Interactive Forks...............................................................149 Chapter 7. Events as Signs of Events..............................................................................153 iii 7.1. Sign................................................................................................ ..............154 7.2. Weak Sign................................................................................................ ....159 7.3. The Ethics of Causal Talk............................................................................160 7.4. Screening Off...............................................................................................16 2 Chapter 8. Independent Variables...................................................................................167 8.1. Unconditional Independence........................................................................170 8.2. Conditional Independence............................................................................175 8.3. Independence for Partitions.........................................................................177 8.4. Independence for Families of Variables......................................................182 8.5. Individual Properties of the Independence Relations...................................186 Chapter 9. Variables Tracking Variables........................................................................189 9.1. Tracking and Conditional Independence: A Summary...............................190 9.2. Strong Tracking............................................................................................ 192 9.3. Strong Tracking and Conditional Independence..........................................198 9.4. Stochastic Subsequence...............................................................................201 9.5. Functional Dependence................................................................................203 9.6. Tracking in Mean.........................................................................................204 9.7. Linear Tracking............................................................................................ 207 9.8. Tracking by Partitions..................................................................................210 9.9. Tracking by Families of Variables...............................................................212 Chapter 10. Variables as Signs of Variables...................................................................215 10.1. Sign................................................................................................ ............219 10.2. Linear Sign................................................................................................ .222 10.3. Scored Sign................................................................................................ 225 10.4. Families of Variables.................................................................................227 Chapter 11. AnTheory of Event Trees.............................................................229 11.1. Event Trees as Sets of Sets........................................................................230 11.2. Event Trees as Partially Ordered Sets........................................................232 iv 11.3. Regular Event Trees...................................................................................240 11.4. The Resolution of Moivrean Variables......................................................244 11.5. Humean Events and Variables...................................................................246 Chapter 12. Martingale Trees..........................................................................................247 12.1. Examples of Decision Trees......................................................................249 12.2. The Meaning of Probability in a Decision Tree.........................................253 12.3. Martingales......................................................................................... .......257 12.4. The Structure of Martingale Trees.............................................................261 12.5. Probability and Causality...........................................................................265 12.6. Lower and Upper Probability.....................................................................269 12.7. The Law of Large Numbers.......................................................................272 12.8. Notes on the Literature...............................................................................274 Chapter 13. Refining............................................................................................ ...........275 13.1. Examples of Refinement............................................................................277 13.2. A Constructive Definition of Finite Refinement.......................................281 13.3. Axioms for Refinement..............................................................................282 13.4. Lifting Moivrean Events and Variables.....................................................288 13.5. Refining Martingale Trees.........................................................................288 13.6. Grounding........................................................................................... .......294 Chapter 14. Principles of Causal Conjecture..................................................................299 14.1. The Diversity of Causal Explanation.........................................................302 14.2. The Mean Effect of the Happening of a Moivrean Event..........................305 14.3. The Effect of a Humean Variable..............................................................311 14.4. Attribution and Generality.........................................................................316 14.5. The Statistical Measurement of the Effect of a Cause...............................319 14.6. Measurement by Experiment.....................................................................320 14.7. Using Our Knowledge of How Things Work............................................322 v 14.8. Sampling Error...........................................................................................329 14.9. The Sampling Frame..................................................................................329 14.10. Notes on the Literature.............................................................................330 Chapter 15. Causal Models.............................................................................................3 31 15.1. The Causal Interpretation of Statistical Prediction....................................333 15.2. Generalizing to a Family of Exogenous Variables....................................337 15.3 Some Joint Causal Diagrams......................................................................339 15.4. Causal Path Diagrams................................................................................342 15.5. Causal Relevance Diagrams.......................................................................346 15.6. The Meaning of Latent Variables..............................................................352 15.7. Notes on the Literature...............................................................................357 Chapter 16. Representing Probability Trees...................................................................359 16.1. Three Graphical Representations...............................................................361 16.2. Skeletal Simplifications.............................................................................368 16.3. Martingale Trees in Type Theory...............................................................371 Appendix A. Huygens’s Probability Trees.....................................................................379 Huygens’s Manuscript in Translation..................................................................380 Appendix B. Some Elements of Graph Theory..............................................................385 B1. Undirected Graphs........................................................................................385 B2. Directed Graphs............................................................................................38 6 Appendix C. Some Elements of Order Theory...............................................................393 C1. Partial and Quasi Orderings.........................................................................393 C2. Singular and Joint Diagrams for Binary Relations.......................................394 C3. Lattices............................................................................................ .............395 C4. The Lattice of Partitions of a Set..................................................................396 Appendix D. The Sample-Space Framework for Probability.........................................399 D1. Probability Measures....................................................................................399 D2. Variables........................................................................................... ...........400 vi D3. Families of Variables...................................................................................401 D4. Expected Value............................................................................................402 D5. The Law of Large Numbers.........................................................................405 D6. Conditional Probability................................................................................406 D7. Conditional Expected Value........................................................................407 Appendix E. Prediction in Probability Spaces................................................................409 E1. Conditional Distribution...............................................................................411 E2. Regression on a Single Variable...................................................................412 E3. Regression on a Partition or a Family of Variables......................................415 E4. Linear Regression on a Single Variable.......................................................418 E5. Linear Regression on a Family of Variables................................................422 Appendix F. Sample-Space Concepts of Independence.................................................425 F1. Overview............................................................................................ ...........426 F2. Independence Proper.....................................................................................432 F3. Unpredictability in Mean..............................................................................434 F4. Simple Uncorrelatedness..............................................................................437 F5. Mixed Uncorrelatedness...............................................................................438 F6. Partial Uncorrelatedness...............................................................................440 F7. Independence for Partitions..........................................................................442 F8. Independence for Families of Variables.......................................................445 F9. The Basic Role of Uncorrelatedness.............................................................448 F10. Dawid’s Axioms.........................................................................................449 Appendix G. Prediction Diagrams..................................................................................453 G1. Path Diagrams............................................................................................ ..454 G2. Generalized Path Diagrams..........................................................................462 G3. Relevance Diagrams.....................................................................................466 G4. Bubbled Relevance Diagrams......................................................................475 Appendix H. Abstract Stochastic Processes...................................................................479 vii H1. Probability Conditionals and Probability Distributions...............................477 H2. Abstract Stochastic Processes......................................................................479 H3. Embedding Variables and Processes in a Sample Space.............................480 References.......................................................................................... ..............................491. (shrink)

Glenn Kreider explores the whole Bible to show us the full scope of God's active involvement in his creation from the very beginning. This better understanding of God's humility will affect our own humility and our attitude toward serving those around us."--Publisher description.

Strives to radically utilize Emmanuel Levinas's philosophical framework, bringing it into conversation with the theology of Hans Urs von Balthasar, to construct a post-ontotheological account of theology that unites theory and praxis. By allowing Levinas's Judaism to challenge von Balthasar's Catholicism, Glenn Morrison develops a perspective that is both theologically rich and philosophically provocative"--Provided by publisher.

Hastings Center Report, Volume 52, Issue 2, Page 10-14, March‐April 2022.

The case for the value of self-experimentation in advancing science is convincing. Important features of the method include (1) repeated measures of individual behavior, over extended time, to discover cause/effect relations, and (2) vivid graphical presentations. Large-scale research on Pavlovian conditioning and weight control is needed because verification could result in easy and inexpensive mitigation of a serious public health problem.

Anarchism is commonly viewed as an outdated and wholly impractical idea. Worse, it has an accursed reputation for advocating chaos, violence, and destruction. The aim of An Anarchist’s Manifesto is to convince readers of the exact opposite: that anarchism is the most adaptive, humane, intelligent, singly inclusive proposal that we, as social animals, have ever envisioned. -/- In the bracing tradition of the manifesto, Glenn Wallis “makes public” the values informing the anarchist way of life—order, equality, mutual support, and (...) a vitalizing rejection of authoritarianism, oppression, and exploitation. Offering examples of anarchism in action that are sure to surprise, this startling book inspires even the most skeptical readers to experiment with these values in practical ways. Along the way, it offers a succinct account of anarchism’s historical blights of violence and quixotic utopianism. -/- An Anarchist’s Manifesto cogently promotes and presents a transformative approach to living in harmony with others. -/- Glenn Wallis is an independent scholar and founder of Incite Seminars in Philadelphia. He has taught at several universities, including Brown University and the University of Georgia. His most recent books include A Critique of Western Buddhism and How to Fix Education. Wallis blogs at Speculative Non-Buddhism. He holds a Ph.D. in Buddhist studies from Harvard University. (shrink)

This article traces the continuities in Pocock's work from his early exploration of the 'common law mind' to his recent work calling for a rethinking of English history and an appreciation of its British context. His work is understood here as the product of perspectives available to him as a New Zealander made aware by his own history of the central roles in all human history played by the movement of people across continents and (especially) across oceans, and by the (...) ways in which different cultures situate themselves in time. Pocock's exploration of the history of 'political thought' has, indeed, often been concerned most with that form of political thinking and identity formation that was rooted in a society's understanding of its own past. This is the key continuity explored in the article. (shrink)

Richard Jeffrey's generalization of Bayes' rule of conditioning follows, within the theory of belief functions, from Dempster's rule of combination and the rule of minimal extension. Both Jeffrey's rule and the theory of belief functions can and should be construed constructively, rather than normatively or descriptively. The theory of belief functions gives a more thorough analysis of how beliefs might be constructed than Jeffrey's rule does. The inadequacy of Bayesian conditioning is much more general than Jeffrey's examples of uncertain perception (...) might suggest. The ``parameter α '' that Hartry Field has introduced into Jeffrey's rule corresponds to the "weight of evidence" of the theory of belief functions. (shrink)

Plato's Cretan City is a thorough investigation into the roots of Plato's Laws and a compelling explication of his ideas on legislation and social institutions. A dialogue among three travelers, the Laws proposes a detailed plan for administering a new colony on the island of Crete. In examining this dialogue, Glenn Morrow describes the contemporary Greek institutions in Athens, Crete, and Sparta on which Plato based his model city, and explores the philosopher's proposed regulations concerning property, the family, government, (...) and the administration of justice, education, and religion. He approaches the Laws as both a living document of reform and a philosophical inquiry into humankind's highest earthly duty. (shrink)

Researchers and practitioners are increasingly using machine‐generated synthetic data as a tool for advancing health science and practice, by expanding access to health data while—potentially—mitigating privacy and related ethical concerns around data sharing. While using synthetic data in this way holds promise, we argue that it also raises significant ethical, legal, and policy concerns, including persistent privacy and security problems, accuracy and reliability issues, worries about fairness and bias, and new regulatory challenges. The virtue of synthetic data is often understood (...) to be its detachment from the data subjects whose measurement data is used to generate it. However, we argue that addressing the ethical issues synthetic data raises might require bringing data subjects back into the picture, finding ways that researchers and data subjects can be more meaningfully engaged in the construction and evaluation of datasets and in the creation of institutional safeguards that promote responsible use. (shrink)

While human genetic research promises to deliver a range of health benefits to the population, genetic research that takes place in Indigenous communities has proven controversial. Indigenous peoples have raised concerns, including a lack of benefit to their communities, a diversion of attention and resources from non-genetic causes of health disparities and racism in health care, a reinforcement of “victim-blaming” approaches to health inequalities, and possible misuse of blood and tissue samples. Drawing on the international literature, this article reviews the (...) ethical issues relevant to genetic research in Indigenous populations and considers how some of these have been negotiated in a genomic research project currently under way in a remote Aboriginal community. We consider how the different levels of Indigenous research governance operating in Australia impacted on the research project and discuss whether specific guidelines for the conduct of genetic research in Aboriginal and Torres Strait Islander communities are warranted. (shrink)

Researchers and practitioners are increasingly using machine-generated synthetic data as a tool for advancing health science and practice, by expanding access to health data while—potentially—mitigating privacy and related ethical concerns around data sharing. While using synthetic data in this way holds promise, we argue that it also raises significant ethical, legal, and policy concerns, including persistent privacy and security problems, accuracy and reliability issues, worries about fairness and bias, and new regulatory challenges. The virtue of synthetic data is often understood (...) to be its detachment from the data subjects whose measurement data is used to generate it. However, we argue that addressing the ethical issues synthetic data raises might require bringing data subjects back into the picture, finding ways that researchers and data subjects can be more meaningfully engaged in the construction and evaluation of datasets and in the creation of institutional safeguards that promote responsible use. (shrink)

Nanotechnology: Considering the Complex Ethical, Legal, and Societal Issues with the Parameters of Human Performance Content Type Journal Article Pages 265-275 DOI 10.1007/s11569-008-0047-6 Authors Linda MacDonald Glenn, Albany Medical College/Center Alden March Bioethics Institute Albany NY 12208 USA Jeanann S. Boyce, Montgomery College Dept. of Computer Science and Business 7600 Takoma Avenue Takoma Park MD 20912 USA Journal NanoEthics Online ISSN 1871-4765 Print ISSN 1871-4757 Journal Volume Volume 2 Journal Issue Volume 2, Number 3.