This paper considers the relationship between quantum uncertainty and the problem of God. Among the issues considered are the existence and essence ofGod, divine action, human freedom, and personal identity. In recent discussions concerning the relative merits of science and religion, thinkers like Ian Barbourand John Haught have suggested several such credible, albeit tentative, connections between the two on the basis of the epistemological limit imposed upon human knowledge by the Heisenberg Uncertainty Principle.

While attempting to work out the methodological difficulties of the Regulae ad Directionem Ingenii, Descartes encountered a “translation problem.” Clear and distinct intertheoretic translation between the mathematical domains of algebra and geometry couldnot always be achieved. As a result, I will argue that Descartes feels compelled to metaphysically reconstruct the logistics of cognition. Additionally, I will show how Descartes’s strong commitment concerning the role of analogy in the confirmation of scientific hypotheses is not only connected to the rise and fall (...) of the Regulae but can also be considered profitably from the perspective of the translation problem. (shrink)

This paper considers the relationship between quantum uncertainty and the problem of God. Among the issues considered are the existence and essence ofGod, divine action, human freedom, and personal identity. In recent discussions concerning the relative merits of science and religion, thinkers like Ian Barbourand John Haught have suggested several such credible, albeit tentative, connections between the two on the basis of the epistemological limit imposed upon human knowledge by the Heisenberg Uncertainty Principle.

In Kant and the Metaphysics of Causality Eric Watkins embarks upon a revision of the standard anti-Humean interpretation of Kant's theory of causality. Like Caesar's Gaul the book is divided into three parts, each consisting of two chapters. The overarching thesis of the book, as fleshed out in part two, is that Kant's Critical treatment of causality, which emerges by a close reading of both the second and third analogies of experience within the Transcendental Logic's Analytic of Principles, should be (...) understood in terms of mutually interacting substances endowed with causal powers. (shrink)

The book consists of two major parts of three chapters apiece which are framed between: an introduction, which succinctly explains the primacy of the phenomenological dimension of depth, which concerns the distance between ourselves and things prior to any quantitative or inferential objectivization of experience; and a conclusion, which deals with some of the ethical implications stemming from our phenomenological construction of space. The focus of part 1 is to present the sense of the body as consisting of an expressive (...) topology based upon features such as mobility and other developmental factors, while part 2 demonstrates how our concept of place contributes to our sense of depth and orientation within a social environment. Forging such a sense of space in our dynamic relation to the world requires, according to Morris, that we eschew approaches which trade upon inferences drawn from a reduction of experience to an underlying order that exists prior to perception, and that we realize that it is we ourselves who actively constitute our sense of space. What this means, says Morris, following the example of ecological psychology, is that the emergence of perception is analogous to other phenomena that spontaneously arise from processes of self-organization. Morris cites Berkeley, whose dismantlement of dualism led the way to a better appreciation of the complete coordination of previously segregated facets of experience, as the forerunner of the intrinsic approach to the ordering of experience. (shrink)

The development of physical theory is one of our greatest intellectual achievements. Its products--the currently prevailing theories of physics, astronomy, and cosmology--have proved themselves to possess intrinsic beauty and to have enormous explanatory and predictive power. This anthology of primary readings chronicles the birth and maturation of five such theories (the heliocentric theory, the electromagnetic field theory, special and general relativity, quantum theory, and the big bang theory) in the words of the scientists who brought them to life. It is (...) the first historical account that captures the rich substance of these theories, each of which represents a fascinating story of the interplay of evidence and insight--and of dialogue among great minds. Readers sit in with Copernicus, Kepler, and Galileo as they overturn the geocentric universe; observe the genius of Faraday and Maxwell as they "discover" the electromagnetic field; look over Einstein's shoulder as he works out the details of relativity; listen in as Einstein and Bohr argue for the soul of quantum mechanics in the Completeness Debate; and watch as Hubble and others reveal the history of the universe. The editors' approach highlights the moments of discovery that rise from scientific creativity, and the presentation humanizes the scientific process, revealing the extent to which great scientists were the first to consider the philosophical implications of their work. But, most significantly, the editors offer this as their central thesis: although each was ushered in by a revolution, and each contains counterintuitive elements that delayed its acceptance, these five theories exhibit a continuous rational development that has led them to a permanent place in the worldview of science. Accessible to the general reader yet sufficiently substantive that working scientists will find value in it, The Tests of Time offers an intimate look into how physical theory has been developed, by the brilliant people who have developed it. (shrink)

When considering the value of friendship, most philosophers ignore the negatives. Most assume that humans need friends to flourish, and some argue that friendships can be good, no matter the risks entailed. This makes conversations about the value of friendship one-sided. Here, I argue that Cynics and Pessimists have an important view on friendship, despite it being ignored. They hold that: (a) friendship is unnecessary for flourishing, and (b) friendship presents ethical risks, especially to one’s own self-sufficiency. I defend these (...) views. Then I conclude with reflections on why Cynics and Pessimists actually make great friends. By helping people to focus on vulgar human nature and the flaws that humans have, they create an unpretentious basis for friendship. (shrink)

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

This paper does two things. First, it interprets the work of W. E. B. Du Bois to reveal that the meanings of race terms are grounded by both a historical and an aspirational component. Race terms refer to a backward-looking component that traces the history of the group to its present time, as well as a forward-looking component that sets out values and goals for the group. Race terms thus refer to a complex cluster of concepts that involve biological, sociological, (...) historical, moral, and political properties. Second, the paper defends W. E. B. Du Bois’s conservationist thesis about races, which holds that we should maintain race talk and racial distinctions. But instead of offering philosophical evidence, this paper defends the plausibility of the conservationist thesis with evidence from contemporary biology and psychology. It argues that, instead of eliminating race terms or concepts, we should conserve and revise them. (shrink)

Degrees of belief; Dempster's rule of combination; Simple and separable support functions; The weights of evidence; Compatible frames of discernment; Support functions; The discernment of evidence; Quasi support functions; Consonance; Statistical evidence; The dual nature of probable reasoning.

When we are fatigued, we feel that our performance is worse than when we are fresh. Yet, for over 100 years, researchers have been unable to identify an objective, behavioral measure that covaries with the subjective experience of fatigue. Previous work suggests that the metrics of signal detection theory —response bias and perceptual certainty —may change as a function of fatigue, but no work has yet been done to examine whether these metrics covary with fatigue. Here, we investigated cognitive fatigue (...) using SDT. We induced fatigue through repetitive performance of the n-back working memory task, while functional magnetic resonance imaging data was acquired. We also assessed cognitive fatigue at intervals throughout. This enabled us to assess not only whether criterion and d’ covary with cognitive fatigue but also whether similar patterns of brain activation underlie cognitive fatigue and SDT measures. Our results show that both criterion and d’ were correlated with changes in cognitive fatigue: as fatigue increased, subjects became more conservative in their response bias and their perceptual certainty declined. Furthermore, activation in the striatum of the basal ganglia was also related to cognitive fatigue, criterion, and d’. These results suggest that SDT measures represent an objective measure of cognitive fatigue. Additionally, the overlap and difference in the fMRI results between cognitive fatigue and SDT measures indicate that these measures are related while also separate. In sum, we show the relevance of SDT measures in the understanding of fatigue, thus providing researchers with a new set of tools with which to better understand the nature and consequences of cognitive fatigue. (shrink)

Responses to the COVID-19 pandemic prompted people and institutions to turn to online virtual environments for a wide variety of social gatherings. In this perspectives article, we draw upon our previous work and interviews with Ghanaian Christian leaders to consider implications of this shift. Specifically, we propose that the shift from physical to virtual interactions mimics and amplifies the neoliberal individualist experience of abstraction from place associated with Eurocentric modernity. On the positive side, the shift from physical to virtual environments (...) liberates people to selectively pursue the most fulfilling interactions, free from constraints of physical distance. On the negative side, the move from physical to virtual space necessitates a shift from material care and tangible engagement with the local community to the psychologization of care and pursuit of emotional intimacy in relations of one’s choosing—a dynamic that further marginalizes people who are already on the margins. The disruptions of the pandemic provide an opportunity to re-set social relations, to design ways of being that better promote sustainable collective well-being rather than fleeting personal fulfillment. (shrink)

I compare Frith and colleagues’ influential comparator account of how the sense of agency is elicited to the multifactorial weighting model advocated by Synofzik and colleagues. I defend the comparator model from the common objection that the actual sensory consequences of action are not needed to elicit the sense of agency. I examine the comparator model’s ability to explain the performance of healthy subjects and those suffering from delusions of alien control on various self-attribution tasks. It transpires that the comparator (...) model needs case-by-case adjustment to deal with problematic data. In response to this, the multifactorial weighting model of Synofzik and colleagues is introduced. Although this model is incomplete, it is more naturally constrained by the cases that are problematic for the comparator model. However, this model may be untestable. I conclude that currently the comparator model approach has stronger support than the multifactorial weighting model approach. (shrink)

This article examines the argument that biodiversity is crucial for well-functioning ecosystems and that such ecosystems provide important goods and services to our human societies, in short the ecosystem services argument (ESA). While the ESA can be a powerful argument for nature preservation, we argue that its dominant functionalist interpretation is confronted with three significant problems. First, the ESA seems unable to preserve the nature it claims to preserve. Second, the ESA cannot explain why those caring about nature want to (...) preserve it. Third, the ESA might undermine its own goal because it potentially decreases environmental motivations. (shrink)

Conspiracy theories have largely been framed by the academy as a stigmatised form of knowledge. Yet recent scholarship has included calls to take conspiracy theories more seriously as an area of study with a desire to judge them on their own merits rather than an a priori dismissal of them as a class of explanation. This paper argues that the debates within the philosophy of religion, long overlooked by scholars of conspiracy theories, can help sow the seeds for re-examining our (...) understanding of conspiracy theories in a more balanced and nuanced way. The nature of religious belief is elemental to understanding the epistemological foundations of the conspiracy theorising worldview amidst what we may call ‘conspiratorial ambiguity’. Specifically, R.M. Hare's concept of bliks, which are unfalsifiable but meaningful worldviews, offers a way forward to reframe our approach towards the theory of conspiracy theories. (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)

An account of the conflict between our positive and negative emotional relationships to the Earth and how they will be resolved for the Symbiocene, the next period in the history of the Earth.

Glenn Alexander Magee's controversial book argues that Hegel was decisively influenced by the Hermetic tradition, a body of thought with roots in Greco-Roman ...

This article analyzes business power in the context of noisy politics by comparing business involvement in two British referendum campaigns: one about membership in the European Communities in 1975, and the Brexit referendum about European Union membership in 2016. By exploring these two contexts, the article seeks to identify the conditions under which business elites can and cannot be effective in a context of noisy politics. Three key factors are identified as determinants of business influence during periods of noisy politics: (...) the incentives to get directly involved in noisy politics; the legitimacy of business involvement; and, finally, the capacity to act in a cohesive way. The article shows that these factors have changed substantially over the last four decades because of wider changes in the nature of capitalism, and their impact on business power in the United Kingdom and more generally is discussed. (shrink)

Conceived as a solution to clinical dilemmas, and now required by organizations for hospital accreditation, ethics committees have been subject only to small-scale studies. The wide use of ethics committees and the diverse roles they play compel study. In 1999 the University of Pennsylvania Ethics Committee Research Group (ECRG) completed the first national survey of the presence, composition, and activities of U.S. healthcare ethics committees (HECs). Ethics committees are relatively young, on average seven years in operation. Eighty-six percent of ethics (...) committees report that they play a role in ongoing clinical decision making through clinical ethics consultation. All are engaged in developing institutional clinical policy. Although 4.5% of HECs write policy on managed care, 50% of HEC chairs feel inadequately prepared to address managed care. The power and activity of ethics committees parallels the composition of those committees and the relationship of members to their institutions. The role of ethics committees across the nation in making policies about clinical care is greater than was known, and ethics committees will likely continue to play an important role in the debate and resolution of clinical cases and clinical policies. (shrink)

Fake news is a worrying phenomenon which is growing increasingly widespread, partly because of the ease with which it is disseminated online. Combating the spread of fake news requires a clear understanding of the nature of fake news. However, the use of the term in everyday language is heterogenous and has no fixed meaning. Despite increasing philosophical attention to the topic, there is no consensus on the correct definition of “fake news” within philosophy either. This paper aims to bring clarity (...) to the philosophical debate of fake news in two ways: Firstly, by providing an overview of existing philosophical definitions and secondly, by developing a new account of fake news. This paper will identify where there is agreement within the philosophical debate of definitions of “fake news” and isolate four key questions on which there is genuine disagreement. These concern the intentionality underlying fake news, its truth value, the question of whether fake news needs to reach a minimum audience, and the question of whether an account of fake news needs to be dynamic. By answering these four questions, I provide a novel account of defining “fake news”. This new definition hinges upon the fact that fake news has the function of being deliberately misleading about its own status as news. (shrink)

In this paper, I reinterpret the conflict between rewilders and those who want to preserve traditional agricultural landscapes. By showing that underlying both positions is a common outlook in which nature preservation can be described as a primarily interpretative act geared towards the preservation of meaning by establishing a successful contact with external reality, I hope to refocus the debate away from the current stalemate. Too often, the debate ends in a dispute about what counts as 'real nature'. By interpreting (...) nature preservation - whether it is directed at rewilding or at preserving old agricultural landscapes - as an act that is a response to nature's meanings, we will refocus attention on the real issue underlying preservation: articulating the ways nature is meaningful to us. (shrink)

Theories of subjective probability are viewed as formal languages for analyzing evidence and expressing degrees of belief. This article focuses on two probability langauges, the Bayesian language and the language of belief functions (Shafer, 1976). We describe and compare the semantics (i.e., the meaning of the scale) and the syntax (i.e., the formal calculus) of these languages. We also investigate some of the designs for probability judgment afforded by the two languages.

Since the publication of Between Facts and Norms, Habermas’s concept of communicative power has been the topic of significant discussion. This article contributes to this conversation by examining Habermas’s account of what makes communication powerful. I argue that Habermas’s conception of communicative power describes a nonviolent and noninstrumental mode of acting and being with others in language. This mode of engagement underwrites a conception of power that is structurally different from willing, one that builds meaningful worlds and (trans-)forms those engaging (...) in communicative procedures. In drawing out this aspect of Habermas’s conception, I show that he is not a rationalist and proceduralist whose account of communicative procedures protects decision-making from irrational aesthetic powers. Rather, he presents communication as a mimetic achievement, a set of aesthetic practices and experiences that affectively alter its participants. With this position, Habermas makes an important contribution to and not just against the analysis of the aesthetic dimensions of political life. In casting communication as a mimetic achievement, Habermas presents an account of how communication opens worlds and forms subjects. Yet since these aspects of communication arrive in linguistic form, he can also examine affective and aesthetic experiences within discursive procedures. We can understand world-opening and aesthetic (trans-)formation as an essential part of democratic politics while also identifying the perspectives and resources by which actors can reflect on and critically evaluate whether an opinion is justified or whether a political project is worth pursuing. (shrink)

Infinity and the Brain proposes a logical and scientific way to resolve the paradox of mind and matter -- by explaining how the perception of a finite image is dependent upon the contrasting infinitude of God. The theory holds that awareness is equal to a tension between existence and nonexistence, such that the self is illuminated to itself (becomes conscious) to the exact measure that it anticipates the infinitude of its own nonexistence. This "anticipation" is actually a "tendency toward" a (...) loss of structure in accordance with the second law of thermodynamics, a process that is restrained by effort and the consequent wholesness of an image. An understanding of how effort is linked to an image and how both are dependent upon neural systems inseparable from "infinity anticipation" sets the stage for a new worldview -- in which mind is seen as dependent upon the immanence of an infinite God. And because "mind" can be defined by the presence of an image which intrinsically restrains disorder, we see by extrapolation that the entire universe must be fundamentally personal, not objective as currently viewed by modern science. Book jacket. (shrink)

The sense of embodiment is vital for self recognition. An examination of anosognosia for hemiplegia—the inability to recognise that one is paralysed down one side of one’s body—suggests the existence of ‘online’ and ‘offline’ representations of the body. Online representations of the body are representations of the body as it is currently, are newly constructed moment by moment and are directly “plugged into” current perception of the body. In contrast, offline representations of the body are representations of what the body (...) is usually like, are relatively stable and are constructed from online representations. This distinction is supported by an analysis of phantom limb—the feeling that an amputated limb is still present—phenomena. Initially it seems that the sense of embodiment may arise from either of these types of representation; however, an integrated representation of the body seems to be required. It is suggested information from vision and emotions is involved in generating these representations. A lack of access to online representations of the body does not necessarily lead to a loss in the sense of embodiment. An integrated offline representation of the body could account for the sense of embodiment and perform the functions attributed to this sense. (shrink)

Functional beauty in the aesthetic tradition -- Functional beauty in contemporary aesthetic theory -- Indeterminacy and the concept of function -- Function and form -- Nature and environment -- Architecture and the built environment -- Artefacts and everyday aesthetics -- The functions of art.

In this paper, I defend a pluralistic view of phenomenological method which will provide evidence for particular accounts of experience without relying exclusively on the reflective method or on intuition as a criterion for truth. To this end, I discuss the prospects for indirect phenomenology. I argue that phenomenology ought to be defined by its object of investigation, first-person experience, and not by any particular method of gaining access to this object of investigation. On this view, an integration of naturalized (...) phenomenology into the cognitive sciences is far more feasible than we might have expected. (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)