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"Early in the last century, M. Comte, the founder of French positivism, set forth his famous doctrine of the three stages of human thought. Man begins, he said, in the theological stage, when all phenomena are referred to wills, either in things or beyond them. After a while, through the discovery of law, the element of caprice and arbitrariness, and thus of will, is ruled out, and men pass to the second, or metaphysical stage. Here they explain phenomena by abstract conceptions of being, substance, cause, and the like. But these metaphysical conceptions are really only the ghosts of the earlier theological notions, and disappear upon criticism. When this is seen, thought passes into the third and last stage of development, the positive stage. Here men give up all inquiry into metaphysics as bootless, and content themselves with discovering and registering the uniformities of coexistence and sequence among phenomena. When this is done we have accomplished all that is possible in the nature of the case. Metaphysics is ruled out as a source of barren and misleading illusions, and science is installed in its place as a study of the uniformities of coexistence and sequence which are revealed in experience. In this view Comte was partly right and partly wrong. By explanation Comte understood causal explanation, and he was quite right in pointing out that explanation in terms of personality is the one with which men begin. He was equally right in saying that abstract metaphysics is only the ghost of the earlier personal explanations. Later philosophic criticism has shown that the conceptions of impersonal metaphysics are only the abstract forms of the self-conscious life, and that apart from that life they are empty and illusory. Comte was equally right in restricting positive science to the investigation and registration of the orders of coexistence and sequence in experience. But he was wrong in making caprice and arbitrariness essential marks of will, and equally wrong in rejecting all causal inquiry. The history of thought has judged his doctrine in this respect. Causal inquiry, though driven out with a fork, has always come running back, and always will. It only remains to give the causal doctrine the form which is necessary to free it from the objections of criticism. The aim of these lectures is to show that critical reflection brings us back again to the personal metaphysics which Comte rejected. We agree with him that abstract and impersonal metaphysics is a mirage of formal ideas, and even largely of words, which begin, continue, and end in abstraction and confusion. Causal explanation must always be in terms of personality, or it must vanish altogether. Thus we return to the theological stage, but we do so with a difference. Our notions of knowledge and its nature, our conception of reality and causality, our thoughts respecting space and time--the two great intimidating phantoms--these are the things that decide our general way of thinking and give direction to our thought even in morals and religion. Some harmless-looking doctrine is put forth in epistemology, and soon there is an agnostic chill in the air that is fatal to the highest spiritual faiths of the soul, or some sensual blight and mildew spread over the fairer growths of our nature. Space and time are made supreme laws of existence, and determinism and materialism and atheism are at the door"--Preface. (PsycINFO Database Record (c) 2008 APA, all rights reserved).
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This book, published in 2000, is a clear account of causation based firmly in contemporary science. Dowe discusses in a systematic way, a positive account of causation: the conserved quantities account of causal processes which he has been developing over the last ten years. The book describes causal processes and interactions in terms of conserved quantities: a causal process is the worldline of an object which possesses a conserved quantity, and a causal interaction involves the exchange of conserved quantities. Further, things that are properly called cause and effect are appropriately connected by a set of causal processes and interactions. The distinction between cause and effect is explained in terms of a version of the fork theory: the direction of a certain kind of ordered pattern of events in the world. This particular version has the virtue that it allows for the possibility of backwards causation, and therefore time travel.
Causality (Physics) --- Causality --- Heisenberg uncertainty principle --- Nuclear physics --- Physics --- Quantum theory --- Philosophy --- Causality (Physics). --- Arts and Humanities --- Philosophy of science
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Object-oriented ontology offers a startlingly fresh way to think about causality that takes into account developments in physics since 1900. Causality, argues, Object Oriented Ontology (OOO), is aesthetic. In this book, Timothy Morton explores what it means to say that a thing has come into being, that it is persisting, and that it has ended. Drawing from examples in physics, biology, ecology, art, literature and music, Morton demonstrates the counterintuitive yet elegant explanatory power of OOO for thinking causality. Dans cet ouvrage, Timothy Morton, écologiste de premier ordre, critique littéraire et philosophe orienté vers l’objet nous entraîne dans une nuit magique des objets. Si les choses sont intrinsèquement en retrait, irréductibles à leur perception, à leurs relations, ou à leurs usages, elles peuvent seulement s’affecter les unes les autres dans une étrange région de traces et d’empreintes : la dimension esthétique. Tout objet scintille dans l’absence. Les choses sensibles sont des élégies à la disparition des objets. Est-ce cela ne nous dit pas quelque chose de la dimension esthétique, à savoir pourquoi les philosophes l’ont souvent considérée comme le royaume du mal?
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CAUSALITY (PHYSICS) --- SCIENCE --- SPACE AND TIME --- PHILOSOPHY
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Cet ouvrage tente d'approfondir les questions liées au déterminisme, au hasard, au chaos, à la distinction entre les causes ainsi qu'au concept de finalité évoqué en biologie ou en sciences humaines et sociales. Une réflexion à la croisée de la sciences, de l'histoire des sciences et de la philosophie.
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The problem of how humans and other intelligent systems construct causal representations from non-causal perceptual evidence has occupied scholars in cognitive science for many decades. Most contemporary approaches agree with David Hume that patterns of covariation between two events of interest are the critical input to the causal induction engine, irrespective of whether this induction is believed to be grounded in the formation of associations (Shanks & Dickinson, 1987), rule-based evaluation (White, 2004), appraisal of causal powers (Cheng, 1997), or construction of Bayesian Causal Networks (Pearl, 2000). Recent research, however, has repeatedly demonstrated that an exclusive focus on covariation while neglecting contiguity (another of Hume's cues) results in ecologically invalid models of causal inference. Temporal spacing, order, variability, predictability, and patterning all have profound influence on the type of causal representation that is constructed. The influence of time upon causal representations could be seen as a bottom-up constraint (though current bottom-up models cannot account for the full spectrum of effects). However, causal representations in turn also constrain the perception of time: Put simply, two causally related events appear closer in subjective time than two (equidistant) unrelated events. This reversal of Hume's conjecture, referred to as Causal Binding (Buehner & Humphreys, 2009) is a top-down constraint, and suggests that our representations of time and causality are mutually influencing one another. At present, the theoretical implications of this phenomenon are not yet fully understood. Some accounts link it exclusively to human motor planning (appealing to mechanisms of cross-modal temporal adaptation, or forward learning models of motor control). However, recent demonstrations of causal binding in the absence of human action, and analogous binding effects in the visual spatial domain, challenge such accounts in favour of Bayesian Evidence Integration. This Research Topic reviews and further explores the nature of the mutual influence between time and causality, how causal knowledge is constructed in the context of time, and how it in turn shapes and alters our perception of time. We draw together literatures from the perception and cognitive science, as well as experimental and theoretical papers. Contributions investigate the neural bases of binding and causal learning/perception, methodological advances, and functional implications of causal learning and perception in real time.
Causation. --- Time Perception --- sensory integration --- perceptual causality --- contingency --- cognitive development --- binding --- time --- causality --- contiguity --- Judgment
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Control systems at production plants consist of a large number of process variables. When detecting abnormal behavior, these variables generate an alarm. Due to the interconnection of the plant's devices the fault can lead to an alarm flood. This again hides the original location of the causing device. In this work several data-driven approaches for root cause localization are proposed, compared and combined. All methods analyze disturbed process data for backtracking the propagation path.
Time series --- Signal processing --- Data Mining --- System identification --- Causality
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The authors present one of the most important contributions of statistics to the discussion of causality, through the model of potential responses proposed by Rubin, and its interface with the epidemiological method. Of particular interest are the scientific and statistical solutions explored, in addition to the underlying premises of homogeneity and stability. The work establishes a dialogue with epidemiology in which the identities of each discipline are valued and protected. The interdisciplinary spirit makes this work important not only for epidemiologists and biostatisticians, but also for other public health professionals who aim to expand their view on the issue of causality.
Epidemiology. --- Causality (Physics) --- Causality --- Heisenberg uncertainty principle --- Nuclear physics --- Physics --- Quantum theory --- Diseases --- Public health --- Philosophy --- Modelos epidemiológicos --- Inferência --- Causalidade
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There is a growing appreciation that many psychiatric (and neurological) conditions can be understood as functional disconnection syndromes – as reflected in aberrant functional integration and synaptic connectivity. This Research Topic considers recent advances in understanding psychopathology in terms of aberrant effective connectivity – as measured noninvasively using functional magnetic resonance imaging (fMRI). Recently, there has been increasing interest in inferring directed connectivity (effective connectivity) from fMRI data. Effective connectivity refers to the influence that one neural system exerts over another and quantifies the directed coupling among brain regions – and how they change with pathophysiology. Compared to functional connectivity, effective connectivity allows one to understand how brain regions interact with each other in terms of context sensitive changes and directed coupling – and therefore may provide mechanistic insights into the neural basis of psychopathology. Established models of effective connectivity include psychophysiological interaction (PPI), structural equation modeling (SEM) and dynamic causal modelling (DCM). DCM is unique because it explicitly models the interaction among brain regions in terms of latent neuronal activity. Moreover, recent advances in DCM such as stochastic and spectral DCM, make it possible to characterize the interaction between different brain regions both at rest and during a cognitive task.
brain connectivity --- Granger causality analysis --- fMRI --- effective connectivity --- psychophysiological interaction --- dynamic causal modeling
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Quantum theory has been a subject of interpretational debates ever since its inception. The Einstein-Podolsky-Rosen paradox, the empirical violation of Bell’s inequalities, and recent activities to exploit quantum entanglement for technological innovation only exacerbate a long-standing philosophical debate. Despite no-signaling theorems and theories of decoherence, deep-rooted conflicts between special relativistic principles and observed quantum correlations as well as between definite measurement outcomes and quantum theoretical superpositions persist. This collection of papers, first presented at an international symposium at the University of Bern in 2011, highlights some recent approaches to the old problems of a philosophy of quantum mechanics. The authors address the issues from a variety of perspectives, ranging from variations of causal theory and system theoretic interpretations of the observer to an empirical test of whether entanglement itself can be entangled. The essays demonstrate that the discussion about the foundations of quantum mechanics is as lively and interesting as ever.
quantum mechanics --- decoherence --- philosophy of science --- MPRL --- Edition Open Access --- history of science --- no-signaling --- causality
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