The Bayesian theorem on convergence to the truth states that a rational inquirer believes with certainty that her degrees of belief capture the truth about a large swath of hypotheses with increasing evidence. This result has been criticized as showcasing a problematic kind of epistemic immodesty when applied to infinite hypotheses that can never be approximated by finite evidence. The central point at issue—that certain hypotheses may forever be beyond the reach of a finite investigation no matter (...) how large one’s reservoir of evidence—cannot be captured adequately within standard probability theory. As an alternative, I propose a nonstandard probabilistic framework that, by using arbitrarily small and large numbers, makes room for the type of fine-grained conceptual distinctions appropriate for a deeper analysis of convergence to the truth. This framework allows for the right kind of modesty about attaining truth in the limit. (shrink)

In a recent paper, Belot argues that Bayesians are epistemologically flawed because they believe with probability 1 that they will learn the truth about observational propositions in the limit. While Belot’s considerations suggest that this result should be interpreted with some care, the concerns he raises can largely be defused by putting convergence to the truth in the context of learning from an arbitrarily large but finite number of observations.

One construal of convergent realism is that for each clear question, scientific inquiry eventually answers it. In this paper we adapt the techniques of formal learning theory to determine in a precise manner the circumstances under which this ideal is achievable. In particular, we define two criteria of convergence to the truth on the basis of evidence. The first, which we call EA convergence, demands that the theorist converge to the complete truth "all at once". The (...) second, which we call AE convergence, demands only that for every sentence in the theorist's language, there is a time at which the theorist settles the status of the sentence. The relative difficulties of these criteria are compared for effective and ineffective agents. We then examine in detail how the enrichment of an agent's hypothesis language makes the task of converging to the truth more difficult. In particular, we parametrize first-order languages by predicate and function symbol arity, presence or absence of identity, and quantifier prefix complexity. For nearly each choice of values of these parameters, we determine the senses in which effective and ineffective agents can converge to the complete truth on an arbitrary structure for the language. Finally, we sketch directions in which our learning theoretic setting can be generalized or made more realistic. (shrink)

Must probabilities be countably additive? On the one hand, arguably, requiring countable additivity is too restrictive. As de Finetti pointed out, there are situations in which it is reasonable to use merely finitely additive probabilities. On the other hand, countable additivity is fruitful. It can be used to prove deep mathematical theorems that do not follow from finite additivity alone. One of the most philosophically important examples of such a result is the Bayesian convergence to the truth theorem, (...) which says that conditional probabilities converge to 1 for true hypotheses and to 0 for false hypotheses. In view of the long-standing debate about countable additivity, it is natural to ask in what circumstances finitely additive theories deliver the same results as the countably additive theory. This paper addresses that question and initiates a systematic study of convergence to the truth in a finitely additive setting. There is also some discussion of how the formal results can be applied to ongoing debates in epistemology and the philosophy of science. (shrink)

Evaluative studies of inductive inferences have been pursued extensively with mathematical rigor in many disciplines, such as statistics, econometrics, computer science, and formal epistemology. Attempts have been made in those disciplines to justify many different kinds of inductive inferences, to varying extents. But somehow those disciplines have said almost nothing to justify a most familiar kind of induction, an example of which is this: “We’ve seen this many ravens and they all are black, so all ravens are black.” This is (...) enumerative induction in itsfullstrength. For it does not settle with a weaker conclusion (such as “the ravens observed in the future will all be black”); nor does it proceed with any additional premise (such as the statistical IID assumption). The goal of this paper is to take some initial steps toward a justification for the full version of enumerative induction, against counterinduction, and against the skeptical policy. The idea is to explore various epistemic ideals, mathematically defined as different modes of convergence to the truth, and look for one that is weak enough to be achievable and strong enough to justify a norm that governs both the long run and the short run. So the proposal is learning-theoretic in essence, but a Bayesian version is developed as well. (shrink)

“Closure occurs in science when a consensus emerges that the ‘truth’ has been winnowed from the various interpretations.”[1] More than once in library books I saw “sic” scribbled in the margin pointing to the scare quotation marks in this and similar texts. If the readers read on, they would discover that scare quotes around scientific truth, fact, reality, nature, technological progress, and similar terms are fashionable in postmodern literature and are spreading beyond it. Scientific results are “true.” Scientists (...) arrive at the “fact.” What do the scare quotes mean? What are their effects? (shrink)

Wenmackers and Romeijn (2016) formalize ideas going back to Shimony (1970) and Putnam (1963) into an open-minded Bayesian inductive logic, that can dynamically incorporate statistical hypotheses proposed in the course of the learning process. In this paper, we show that Wenmackers and Romeijn’s proposal does not preserve the classical Bayesian consistency guarantee of merger with the true hypothesis. We diagnose the problem, and offer a forward-looking open-minded Bayesians that does preserve a version of this guarantee.

This paper utilizes a logical correspondence theorem (which has been proved elsewhere) for the justification of weak conceptions of scientific realism and convergence to truth which do not presuppose Putnam's no-miracles-argument (NMA). After presenting arguments against the reliability of the unrestricted NMA in Sect. 1, the correspondence theorem is explained in Sect. 2. In Sect. 3, historical illustrations of the correspondence theorem are given, and its ontological consequences are worked out. Based on the transitivity of the concept of (...) correspondence, a correspondence-based notion of convergence to truth is developed in Sect. 4. In the final Sect. 5 it is argued that the correspondence theorem together with the assumption of ' minimal realism' yields a justification of a weak version of scientific realism, which is then compared to metaphysical realism and to instrumentalism. (shrink)

Scientific Realists argue that it would be a miracle if scientific theories were getting more predictive without getting closer to the truth; so they must be getting closer to the truth. Van Fraassen, Laudan et al. argue that owing to the underdetermination of theory by data (UDT) for all we know, it is a miracle, a fluke. So we should not believe in even the approximate truth of theories. I argue that there is a test for who (...) is right: suppose we are at the limit of inquiry. Suppose that we then have all the logically possible theories that are adequate to all the actual data. If they all resembled in their theoretical claims, since one of them must be true, all of them would then resemble it, whichever it is. We would thus be justified in saying they all approximated the truth in the degree to which they co-resembled. If they don't all co-resemble, the SRs are wrong; more predictive theories are not necessarily closer to the theoretical truth. Prior to the limit, if, in spite of our best efforts to the contrary, all the theories we can make adequate to current data tend to co-resemble, we have inductive warrant for thinking more predictive theories are closer to the truth. If they don't resemble, we have inductive warrant for thinking that more predictive theories are not necessarily closer to the truth. (shrink)

The paper discusses Bayesian convergence when the truth is excluded from the analysis by means of a simple coin-tossing example. In the fair-balance paradox a fair coin is tossed repeatedly. A Bayesian agent, however, holds the a priori view that the coin is either biased towards heads or towards tails. As a result the truth is ignored by the agent. In this scenario the Bayesian approach tends to confirm a false model as the data size goes to (...) infinity. I argue that the fair-balance paradox reveals an unattractive feature of the Bayesian approach to scientific inference and explore a modification of the paradox. (shrink)

Throughout his career, Barry Taylor argued for several key theses in semantics and in epistemology. He calls these theses “Antirealism”. I will suggest, however, that a “Realist” could, and perhaps should, accept these semantic and epistemic theses. Doing so would not, I argue, conflict with the core this of philosophical Realism, properly so-called, since this thesis is not semantic or epistemological, but “ontological”. A Realist about (say) badgers is just someone who believes that there are badgers. And Taylor’s semantic and (...) epistemological theses are not intended to entail any denial that there are (say) badgers. However, Taylor argues that the core theses of “realism” cannot be any such merely ontological theses. I will defend a simplistic, “ontological” understanding of “realism” against Taylor’s arguments. Taylor also usefully identifies something that others have called “Common-sense Realism”. But this so-called “Realism”, Taylor argues, is not properly described as any kind of “realism” at all – because it does not affirm Taylor’s key theses in semantics and epistemology. Yet I say it is realism – provided only that it does not also take a perverse stand on a realist’s “Euthyphro” question: Do (say) badgers exist because our ways of talking and knowing would ideally converge on an affirmation of the sentence “Badgers exist”? Isn’t it, rather, the case that, insofar as our ways of talking and knowing would ideally converge on an affirmation of the sentence “Badgers exist”, this is so at least in part because badgers exist? (shrink)

Nelson Goodman's new riddle of induction forcefully illustrates a challenge that must be confronted by any adequate theory of inductive inference: provide some basis for choosing among alternative hypotheses that fit past data but make divergent predictions. One response to this challenge is to distinguish among alternatives by means of some epistemically significant characteristic beyond fit with the data. Statistical learning theory takes this approach by showing how a concept similar to Popper's notion of degrees of testability is linked to (...) minimizing expected predictive error. In contrast, formal learning theory appeals to Ockham's razor, which it justifies by reference to the goal of enhancing efficient convergence to the truth. In this essay, I show that, despite their differences, statistical and formal learning theory yield precisely the same result for a class of inductive problems that I call strongly VC ordered, of which Goodman's riddle is just one example. (shrink)

This essay demonstrates a previously unnoticed connection between formal and statistical learning theory with regard to Nelson Goodman’s new riddle of induction. Discussions of Goodman’s riddle in formal learning theory explain how conjecturing “all green” before “all grue” can enhance efficient convergence to the truth, where efficiency is understood in terms of minimizing the maximum number of retractions or “mind changes.” Vapnik-Chervonenkis (VC) dimension is a central concept in statistical learning theory and is similar to Popper’s notion of (...) degrees of testability. I show that for a class inductive problems of which Goodman’s riddle is one example, a reliable inductive method minimizes the maximum number of mind changes exactly if it always conjectures the hypothesis from the set with lowest VC dimension consistent with the data. I also discuss the relevance of these results to language invariance and curve fitting. (shrink)

We investigate the process of truth-seeking by iterated belief revision with higher-level doxastic information . We elaborate further on the main results in Baltag and Smets (Proceedings of TARK, 2009a , Proceedings of WOLLIC’09 LNAI 5514, 2009b ), applying them to the issue of convergence to truth . We study the conditions under which the belief revision induced by a series of truthful iterated upgrades eventually stabilizes on true beliefs. We give two different conditions ensuring that beliefs (...) converge to “full” (complete) truth , as well as a condition ensuring only that they converge to true (but not necessarily complete) beliefs. (shrink)

Truth -- Theism -- Diversity -- Freedom -- Goodness -- Evil -- Afterlife -- Eternity -- Focusing -- Convergence.

Explaining the connection, if any, between simplicity and truth is among the deepest problems facing the philosophy of science, statistics, and machine learning. Say that an efficient truth finding method minimizes worst case costs en route to converging to the true answer to a theory choice problem. Let the costs considered include the number of times a false answer is selected, the number of times opinion is reversed, and the times at which the reversals occur. It is demonstrated (...) that (1) always choosing the simplest theory compatible with experience, and (2) hanging onto it while it remains simplest, is both necessary and sufficient for efficiency. †To contact the author, please write to: Department of Philosophy, Carnegie Mellon University, Baker Hall 135, Pittsburgh, PA 15213-3890; e-mail: [email protected]. (shrink)

Nelson Goodman’s new riddle of induction forcefully illustrates a challenge that must be confronted by any adequate theory of inductive inference: provide some basis for choosing among alternative hypotheses that fit past data but make divergent predictions. One response to this challenge is to distinguish among alternatives by means of some epistemically significant characteristic beyond fit with the data. Statistical learning theory takes this approach by showing how a concept similar to Popper’s notion of degrees of testability is linked to (...) minimizing expected predictive error. In contrast, formal learning theory appeals to Ockham’s razor, which it justifies by reference to the goal of enhancing efficient convergence to the truth. In this essay, I show that, despite their differences, statistical and formal learning theory yield precisely the same result for a class of inductive problems that I call strongly VC ordered , of which Goodman’s riddle is just one example. (shrink)

Many distinct theories are compatible with current experience. Scientific realists recommend that we choose the simplest. Anti-realists object that such appeals to “Ockham’s razor” cannot be truth-conducive, since they lead us astray in complex worlds. I argue, on behalf of the realist, that always preferring the simplest theory compatible with experience is necessary for efficient convergence to the truth in the long run, even though it may point in the wrong direction in the short run. Efficiency is (...) a matter of minimizing errors or retractions prior to convergence to the truth. (shrink)

This article makes use of the thinking of both Max Scheler and Dietrich von Hildebrand in attempting properly to understand the nature of humility. The article examines how gratitude and truthfulness are both present, in an essentially integrated fashion, when a person exists in a humble state. Also addressed is the converse proposition, namely, that gratitude and truthfulness are absent in theperson who exists in a proud state and are replaced in that person by their respective opposites, ingratitude and mendacity. (...) The article begins with a discussion of Scheler’s view of humility as gratitude, then investigates von Hildebrand’s notion that humility is truth. In presenting their ideas, the article identifies three distinct ways in which von Hildebrand’s analysis of humility in terms of truthfulnesscomplements and expands upon Scheler’s analysis of humility in terms of gratitude. These three distinct yet complementary ways are, respectively, ontological, psychological, and ethical in nature. (shrink)

Saltman and Goodman show how corporate-produced curricula, films, and corporate-promoted books often use depictions of family love, childhood innocence, and compassion in order to sell the public on policies that ironically put the profit of multinational corporations over the well-being of people. In doing so, the authors reveal the extent to which globalization depends upon education and also show how battles over culture, language, and the control of information are matters of life, death, and democracy.

Quantitative apparatus for assessing strength of an argument was improved in the article. A probative generalisation and verification of the R.Yanal's algorithm to calculate convergent argument were proposed. The generalization obtained deals with both quantity (or number) and quality (or truth-values) of the argument's reasons.

We often think or say that someone was wrong about something but almost right about it or close to the truth. This can mean more than one thing. Here, I propose an analysis of the idea of being epistemically close to the truth. This idea plays an important role in our practice of epistemic evaluation and therefore deserves some detailed attention. I start with an exposition of the idea of getting things right by looking at the main forms (...) of reliabilism about true belief and belief acquisition. The focus on reliabilism is justified because everyone is a reliabilist in a basic sense. Section 2 develops a notion of closeness to the truth in two steps. Section 3 mentions some ways in which this notion is useful, one having to do with the Gettier problem. (shrink)

I examine the role that approximate truth plays in arguments for convergent realism and diagnose some difficulties that face attempts to defend realism by employing this slippery concept. Approximate truth plays two important roles in convergent realism : it functions as a truth surrogate and it helps explain the success of science. I argue that approximate truth cannot perform both of these roles. If it adequately fulfills its role as a truth surrogate, then it cannot (...) explain the success of science. If it adequately explains the success of science, then it cannot function as a truth surrogate. (shrink)

This paper presents a new explanation of how preferring the simplest theory compatible with experience assists one in finding the true answer to a scientific question when the answers are theories or models. Inquiry is portrayed as an unending game between science and nature in which the scientist aims to converge to the true theory on the basis of accumulating information. Simplicity is a topological invariant reflecting sequences of theory choices that nature can force an arbitrary, convergent scientist to produce. (...) It is demonstrated that among the methods that converge to the truth in an empirical problem, the ones that do so with a minimum number of reversals of opinion prior to convergence are exactly the ones that prefer simple theories. The approach explains not only simplicity tastes in model selection, but aspects of theory testing and the unwillingness of natural science to break symmetries without a reason. (shrink)

The article analyzes how American philosopher Charles Peirce understands the concept of reality. He identifies the real as that which is independent of what any individual thinks about it and as a type of cognition and as the object of inquiry. Obtrusive realism and projective realism are the two central elements in Peirce's thoughts on reality. A set of problems relating to Peirce's assumption that inquiry must ultimately focus on true beliefs about reality is also presented.

In this paper we provide a compact presentation of the verisimilitudinarian approach to scientific progress (VS, for short) and defend it against the sustained attack recently mounted by Alexander Bird (2007). Advocated by such authors as Ilkka Niiniluoto and Theo Kuipers, VS is the view that progress can be explained in terms of the increasing verisimilitude (or, equivalently, truthlikeness, or approximation to the truth) of scientific theories. According to Bird, VS overlooks the central issue of the appropriate grounding of (...) scientific beliefs in the evidence, and it is therefore unable (a) to reconstruct in a satisfactory way some hypothetical cases of scientific progress, and (b) to provide an explanation of the aversion to falsity that characterizes scientific practice. We rebut both of these criticisms and argue that they reveal a misunderstanding of some key concepts underlying VS. (shrink)

The most influential arguments for scientific realism remain centrally concerned with an inference from scientific success to the approximate truth of successful theories. Recently, however, and in response to antirealists' objections from radical discontinuity within the history of science, the arguments have been refined. Rather than target entire theories, realists narrow their commitments to only certain parts of theories. Despite an initial plausibility, the selective realist strategy faces significant challenges. In this article, I outline four prerequisites for a successful (...) selective realist defence and argue that adopting a comparative sense of success both satisfies those requirements and partially in consequence provides a more compelling, albeit more modest, realist thesis. (shrink)

Worldviews are windows to the world. They can be static in referring to visual connotations as suggested by their name, but they can hold a dynamic and genetic view as well. As such, they imply a fundamental cognitive orientation, involving selection, interpretation and interaction with the world. What matters, in this view, is a kind of sense-making or semiotization of the world. -/- The semiotization of the “sonic world”, accordingly, can be approached from different epistemological positions: is music reducible to (...) symbolic labels that function as names, or is it only music when it sounds? And is music to be considered as an artifact that is out there or as something that must be listened to in order to make sense? Rather than joining these discussions, I propose to broaden the focus and to embrace psychological claims as well. Though psychology is not commonly considered as semiotics’ companion theory of truth, there are points of convergence with respect to the hierarchical arrangement of epistemic interactions with the sounds: there is a lower level processing of sensory input (sensation), a somewhat higher level (perception) which involves a first level of sense-making—mostly at a preverbal level—, and a higher level of sense-making which is commonly labeled as cognition. -/- In what follows I will argue for a cumulative model with lower levels not being substituted by higher ones, but with higher levels being superposed on them. Music, in fact, is a sounding art with the richness of it sonorous unfolding as one of its major characteristics. Music processing, therefore, should keep step with the music as it unfolds over time, in a dynamic tension that does justice to the level of sensation as well as to the listener’s continuous epistemic interactions with the sounds. (shrink)

Over the course of human history there appears to have been a global shift in moral values towards a broadly ‘liberal’ orientation. Huemer argues that this shift better accords with a realist than an antirealist metaethics: it is best explained by the discovery of mind-independent truths through intuition. In this article I argue, contra Huemer, that the historical data are better explained assuming the truth of moral antirealism. Realism does not fit the data as well as Huemer suggests, whereas (...) antirealists have underappreciated resources to explain the relevant historical dynamics. These resources include an appeal to socialization, to technological and economical convergences, to lessons learned from history, to changes induced by consistency reasoning and to the social function of moral norms in overcoming some of the cooperation problems that globalizing societies face. I point out that the realist’s explanans has multiple shortcomings, that the antirealist’s explanans has several explanatory virtues, and conclude that the latter provides a superior account of the historical shift towards liberal values. (shrink)

Ethical issues around triage have been at the forefront of debates during the Covid‐19 pandemic. This essay compares both discussion and guidelines around triage and the reality of what happened in the United States and in Europe, both in anticipation of and during the first wave of the pandemic. Why did the issue generate so many vivid debates in the United States and so few in most European countries, although the latter were also affected by the rationing of health care (...) resources? Are countries with socialized health care systems better equipped to face the hard choices of triaging? Important lessons in transparency, trust, and accountability for policy‐makers can be drawn from this comparison, demonstrating that fostering public involvement and ethical debate remains a critical element for the sustained acceptance of any triage plan. (shrink)

In Moonshadows, the Cowherds, a team of ten scholars of Buddhist Studies, address the nature of conventional truth as it is understood in the Madhyamaka tradition deriving from Nagarjuna and Candrakarti. Moonshadows combines textual scholarship with philosophical analysis to elucidate the metaphysical, epistemological and ethical consequences of this doctrine.

Bayesians since Savage (1972) have appealed to asymptotic results to counter charges of excessive subjectivity. Their claim is that objectionable differences in prior probability judgments will vanish as agents learn from evidence, and individual agents will converge to the truth. Glymour (1980), Earman (1992) and others have voiced the complaint that the theorems used to support these claims tell us, not how probabilities updated on evidence will actually}behave in the limit, but merely how Bayesian agents believe they will behave, (...) suggesting that the theorems are too weak to underwrite notions of scientific objectivity and intersubjective agreement. I investigate, in a very general framework, the conditions under which updated probabilities actually converge to a settled opinion and the conditions under which the updated probabilities of two agents actually converge to the same settled opinion. I call this mode of convergence deterministic, and derive results that extend those found in Huttegger (2015b). The results here lead to a simple characterization of deterministic convergence for Bayesian learners and give rise to an interesting argument for what I call strong regularity, the view that probabilities of non-empty events should be bounded away from zero. (shrink)

Contemporary religious and scientific perspectives make various metaphysical truth claims that are frequently perceived to be either competitive or contradictory. Two dominant approaches that have been employed to explain and to resolve such conflicts are those of convergence, where one view trumps over and assimilates the other, and incommensurability, where the views in question come to be regarded as actually non-competitive. Drawing on recent models of inter-religious dialogue, in his essay, ‘The Fruits of Contradiction: Evolution, Cooperation and Ethics (...) in an Inter-Religious Context’, Daniel Weiss proposes by way of analogy a third approach, that of critical yet constructive interaction between religious and secular ethical perspectives where metaphysically contradictory commitments remain held in unresolved tension. In this essay, I engage Weiss’s proposal and raise questions about the analogy that he develops. Drawing on the political theory of Rawlsian liberalism, I propose a fourth conceptuality—that of overlapping consensus—which I argue bears important similarities to the model that Weiss advocates. (shrink)

"Devoted to the Truth" is a compilation of the most recent articles by renowned Islamic scholar, Fethullah Gülen, since 2016. The themes he covers are commitment to lofty ideals, self-reckoning, and hope.

The problem with the pragma-dialectical view, it has been argued, is that it takes argumentation as aiming at consensus rather than truth or justified belief. The pragma-dialecticians often imply that an argumentative process aiming at consensus in a way constrained by the “Ten Commandments” will in the long run converge on epistemically favourable standpoints. I will argue that they are right provided (i) pragma-dialectics is construed, as they say, as a theory of criticism; (ii) pragma-dialectics and the other theories (...) of argumentation have in common the requirement to account for the fallacies. (shrink)

In this essay, I develop an account of belief as commitment to the truth of a proposition. On my account, to believe p is to represent p as true by way of committing to the truth of p. To commit to the truth of p, in the sense I am interested in, is to exercise the normative power to subject one’s representation of p as true to the normative standard of truth. As I argue, my account (...) of belief as commitment of the truth explains a variety of features of belief that separate it from attitudes like acceptance, supposition, and imagination. Most importantly, it explains the distinctive connection between belief and evidence. Moreover, my account helps solve three further puzzles about belief, regarding doxastic voluntarism, the aim of belief, and Moore’s paradox. (shrink)

There is a popular view that the alleged meaning shifts resulting from scientific revolutions are somehow incompatible with the formulation of general norms for scientific inquiry. We construct methods that can be shown to be maximally reliable at getting to the truth when the truth changes in response to the state of the scientist or his society.

Say that an agent is "epistemically humble" if she is less than certain that her opinions will converge to the truth, given an appropriate stream of evidence. Is such humility rationally permissible? According to the orgulity argument : the answer is "yes" but long-run convergence-to-the-truth theorems force Bayesians to answer "no." That argument has no force against Bayesians who reject countable additivity as a requirement of rationality. Such Bayesians are free to count even extreme humility as rationally (...) permissible. (shrink)

The present article tries to identify philosophical similar aspects in the investigation around the nature of the true knowledge through the criticism to the rhetorical sophistry in the texts of the speech “Against the Sophists ”, of Isocrates, and of dialog “ Phedro”, of Plato, articulating his perspectives so to find similar points in theirs respective examinations about what is understood like true knowledge, from the criticism that both thinkers do to the sophists who specialized in the development of the (...) political eloquence as well as to who contented himself with writing manuals of rhetoric. (shrink)

INTRODUCTION When Karl Popper published in' his definition of closer-to-the- truth this was an important intellectual event, but not a shocking one. ...

The prevailing historiographies of Jewish life in England suggest that religious representations of the Jews in the early modern period were confined to the margins and fringes of society by the desacralization of English life. Such representations are mostly neglected in the scholarly literature for the latter half of the long eighteenth century, and English Methodist texts in particular have received little attention. This article addresses these lacunae by examining the discourse of Adam Clarke, an erudite Bible scholar, theologian, preacher (...) and author and a prominent, respected, Methodist scholar. Significantly, the more overt demonological representations were either absent from Clarke‘s discourse, or only appeared on a few occasions, and were vague as to who or what was signified. However, Clarke portrayed biblical Jews as perfidious, cruel, murderous, an accursed seed, of an accursed breed and radically and totally evil. He also commented on contemporary Jews, maintaining that they were foolish, proud, uncharitable, intolerant and blasphemous. He argued that in their eternal, wretched, dispersed condition, the Jews demonstrated the veracity of biblical prophecy, and served an essential purpose as living monuments to the truth of Christianity. (shrink)

The Mahayana tradition in Buddhist philosophy is defined by its ethical orientation--the adoption of bodhicitta, the aspiration to attain awakening for the benefit of all sentient beings. And indeed, this tradition is known for its literature on ethics, which reflect the Madhyamaka tradition of philosophy, and emphasizes both the imperative to cultivate an attitude of universal care (karuna) grounded in the realization of emptiness, impermanence, independence, and the absence of any self in persons or other phenomena.This position is morally very (...) attractive, but raises an important problem: if all phenomena, including persons and actions, are only conventionally real, can moral injunctions or principles be binding, or does the conventional status of the reality we inhabit condemn us to an ethical relativism or nihilism? In Moonpaths, the Cowherds address an analogous problem in the domain of epistemology and argues that the Madhyamaka tradition has the resources to develop a robust account of truth and knowledge within the context of conventional reality. The essays explore a variety of ways in which to understand important Buddhist texts on ethics and Mahayana moral theory so as to make sense of the genuine force of morality. (shrink)