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Relevant bibliographies by topics / Causal role

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Academic literature on the topic 'Causal role'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Causal role"

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Tobin, Stephanie J., and Melissa M. Raymundo. "Persuasion by Causal Arguments: The Motivating Role of Perceived Causal Expertise." Social Cognition 27, no. 1 (February 2009): 105–27. http://dx.doi.org/10.1521/soco.2009.27.1.105.

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Perales, José C., Andrés Catena, and Antonio Maldonado. "Inferring non-observed correlations from causal scenarios: The role of causal knowledge." Learning and Motivation 35, no. 2 (May 2004): 115–35. http://dx.doi.org/10.1016/s0023-9690(03)00042-0.

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Templeman, Nicole M., Søs Skovsø, Melissa M. Page, Gareth E. Lim, and James D. Johnson. "A causal role for hyperinsulinemia in obesity." Journal of Endocrinology 232, no. 3 (March 2017): R173—R183. http://dx.doi.org/10.1530/joe-16-0449.

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Insulin modulates the biochemical pathways controlling lipid uptake, lipolysis and lipogenesis at multiple levels. Elevated insulin levels are associated with obesity, and conversely, dietary and pharmacological manipulations that reduce insulin have occasionally been reported to cause weight loss. However, the causal role of insulin hypersecretion in the development of mammalian obesity remained controversial in the absence of direct loss-of-function experiments. Here, we discuss theoretical considerations around the causal role of excess insulin for obesity, as well as recent studies employing mice that are genetically incapable of the rapid and sustained hyperinsulinemia that normally accompanies a high-fat diet. We also discuss new evidence demonstrating that modest reductions in circulating insulin prevent weight gain, with sustained effects that can persist after insulin levels normalize. Importantly, evidence from long-term studies reveals that a modest reduction in circulating insulin is not associated with impaired glucose homeostasis, meaning that body weight and lipid homeostasis are actually more sensitive to small changes in circulating insulin than glucose homeostasis in these models. Collectively, the evidence from new studies on genetic loss-of-function models forces a re-evaluation of current paradigms related to obesity, insulin resistance and diabetes. The potential for translation of these findings to humans is briefly discussed.

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Ando, Takafumi, Yasuyuki Goto, Osamu Maeda, Osamu Watanabe, Kazuhiro Ishiguro, and Hidemi Goto. "Causal role ofHelicobacter pyloriinfection in gastric cancer." World Journal of Gastroenterology 12, no. 2 (2006): 181. http://dx.doi.org/10.3748/wjg.v12.i2.181.

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Kazez, Jean R. "Computationalism and the causal role of content." Philosophical Studies 75, no. 3 (September 1994): 231–60. http://dx.doi.org/10.1007/bf00989583.

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Cook, Linda S. "A Causal Role forMycobacterium aviumSubspeciesParatuberculosisin Crohn’s Disease?" Canadian Journal of Gastroenterology 14, no. 6 (2000): 479–80. http://dx.doi.org/10.1155/2000/329789.

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Fleischman, Angela G., and Jeffrey W. Tyner. "Causal role for JAK2 V617F in thrombosis." Blood 122, no. 23 (November 28, 2013): 3705–6. http://dx.doi.org/10.1182/blood-2013-10-531665.

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Barranco, Caroline. "Apolipoprotein gene variants—causal role in gout?" Nature Reviews Rheumatology 12, no. 6 (May 6, 2016): 314. http://dx.doi.org/10.1038/nrrheum.2016.75.

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Ward, Andrew C. "The role of causal criteria in causal inferences: Bradford Hill's "aspects of association"." Epidemiologic Perspectives & Innovations 6, no. 1 (2009): 2. http://dx.doi.org/10.1186/1742-5573-6-2.

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Freeland, Claire A. B., and Ellin Kofsky Scholnick. "The Role of Causality in Young Children's Memory for Stories." International Journal of Behavioral Development 10, no. 1 (March 1987): 71–88. http://dx.doi.org/10.1177/016502548701000105.

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This study investigates the conceptual development underlying story recall. Children's memory for stories was examined as a function of subjects' causal understanding and causal structure in stories. Kindergarteners (64 boys and 64 girls) who had scored either high or low on a causal reasoning pretest heard and recalled two stories representing one of four versions which varied in amount and locus of causality. The results supported a developmental view in which recall performance was a complex interaction between characteristics of the learner and characteristics of the story. Depending on the causal structure of the story, boys and girls high in causal reasoning responded differently in employing two alternative cognitive styles. Boys tended to elaborate more on unstructured material and girls tended to assimilate well-structured text more easily. In contrast, boys and girls low in causal reasoning did not respond differently from each other and were not influenced by the causal structure of the story.

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Dissertations / Theses on the topic "Causal role"

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Wachter, Daniel von. "Modality, causality, and God." Thesis, University of Oxford, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.289017.

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Williams, Cara. "The causal role of mood in confabulation." Master's thesis, University of Cape Town, 2003. http://hdl.handle.net/11427/6042.

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Bibliography: leaves 35-40.
Following a presumed haemorrhage in the hyplthalamic area during an operation to remove a tumour from the diencephalon and frontal lobes, a man (CA) presented with confabulatory amnesia. Previous research papers have shown that confabulations (CA's included) have a positive emotional bias and Turnbull et al. (in press) have demonstrated that low mood appears to co-occur with confabulation. This paper explores the mood of CA across time.

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Ding, Peng. "Exploring the Role of Randomization in Causal Inference." Thesis, Harvard University, 2015. http://nrs.harvard.edu/urn-3:HUL.InstRepos:17467349.

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This manuscript includes three topics in causal inference, all of which are under the randomization inference framework (Neyman, 1923; Fisher, 1935a; Rubin, 1978). This manuscript contains three self-contained chapters. Chapter 1. Under the potential outcomes framework, causal effects are defined as comparisons between potential outcomes under treatment and control. To infer causal effects from randomized experiments, Neyman proposed to test the null hypothesis of zero average causal effect (Neyman’s null), and Fisher proposed to test the null hypothesis of zero individual causal effect (Fisher’s null). Although the subtle difference between Neyman’s null and Fisher’s null has caused lots of controversies and confusions for both theoretical and practical statisticians, a careful comparison between the two approaches has been lacking in the literature for more than eighty years. I fill in this historical gap by making a theoretical comparison between them and highlighting an intriguing paradox that has not been recognized by previous re- searchers. Logically, Fisher’s null implies Neyman’s null. It is therefore surprising that, in actual completely randomized experiments, rejection of Neyman’s null does not imply rejection of Fisher’s null for many realistic situations, including the case with constant causal effect. Furthermore, I show that this paradox also exists in other commonly-used experiments, such as stratified experiments, matched-pair experiments, and factorial experiments. Asymptotic analyses, numerical examples, and real data examples all support this surprising phenomenon. Besides its historical and theoretical importance, this paradox also leads to useful practical implications for modern researchers. Chapter 2. Causal inference in completely randomized treatment-control studies with binary outcomes is discussed from Fisherian, Neymanian and Bayesian perspectives, using the potential outcomes framework. A randomization-based justification of Fisher’s exact test is provided. Arguing that the crucial assumption of constant causal effect is often unrealistic, and holds only for extreme cases, some new asymptotic and Bayesian inferential procedures are proposed. The proposed procedures exploit the intrinsic non-additivity of unit-level causal effects, can be applied to linear and non- linear estimands, and dominate the existing methods, as verified theoretically and also through simulation studies. Chapter 3. Recent literature has underscored the critical role of treatment effect variation in estimating and understanding causal effects. This approach, however, is in contrast to much of the foundational research on causal inference; Neyman, for example, avoided such variation through his focus on the average treatment effect and his definition of the confidence interval. In this chapter, I extend the Ney- manian framework to explicitly allow both for treatment effect variation explained by covariates, known as the systematic component, and for unexplained treatment effect variation, known as the idiosyncratic component. This perspective enables es- timation and testing of impact variation without imposing a model on the marginal distributions of potential outcomes, with the workhorse approach of regression with interaction terms being a special case. My approach leads to two practical results. First, I combine estimates of systematic impact variation with sharp bounds on over- all treatment variation to obtain bounds on the proportion of total impact variation explained by a given model—this is essentially an R2 for treatment effect variation. Second, by using covariates to partially account for the correlation of potential out- comes problem, I exploit this perspective to sharpen the bounds on the variance of the average treatment effect estimate itself. As long as the treatment effect varies across observed covariates, the resulting bounds are sharper than the current sharp bounds in the literature. I apply these ideas to a large randomized evaluation in educational research, showing that these results are meaningful in practice.
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James, Nathalie. "The role of subjective input in causal category formation." Diss., Restricted to subscribing institutions, 2008. http://proquest.umi.com/pqdweb?did=1781954331&sid=6&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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Pepper, Rebecca. "The causal role of attentional control within depressive rumination." Thesis, University of Exeter, 2017. http://hdl.handle.net/10871/28821.

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Objectives: Due to a number of conceptual and methodological limitations, existing research has provided only equivocal evidence that deficits/biases in attentional control (AC) are causally implicated in depressive rumination and/or that Cognitive Control Training (CCT) can be used to remediate such vulnerabilities. By using a well-validated training task and ensuring adequate training exposure, the current study aimed to examine the hypothesis that daily CCT would reduce rumination and improve mood among participants with elevated ruminative disposition. Method: Using a multiple baseline design (MBD), eight high-ruminating university participants rated their daily levels of rumination and mood before and after the randomly-determined introduction of daily CCT, designed to enhance their level of AC. Daily ratings were compared before and after the introduction of CCT, using systematic visual analysis and randomisation tests for significance at the group level. Results: No evidence was found to support the hypothesis that daily CCT reduces rumination and/or improve mood. While participants improved in their performance within the CCT across the training period, there was no evidence of near- or far-transfer, visual analysis revealed no impact of the introduction of daily training, and all group-level analyses were non-significant (p ≥ .05). Conclusion: Despite addressing a number of conceptual/methodological concerns, the current study provides no further support for AC theories of rumination or the use of CCT-based treatments for depression. Such conclusions must be interpreted in light of other methodological limitations, however, including the use of a non-clinical sample and the use of MBD to detect delayed treatment effects.

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Wittchen, Hans-Ulrich, Katja Beesdo, Antje Bittner, and Renee D. Goodwin. "Depressive episodes - evidence for a causal role of primary anxiety disorders?" Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-110116.

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Anxiety and depressive disorders are common mental disorders in general population, imposing tremendous burden on both affected persons and society. Moreover, comorbidity between anxiety and depressive conditions is high, leading to substantial disability and functional impairment. Findings consistently suggest that anxiety disorders are primary to depression in the majority of comorbid cases. Yet, the question of whether anxiety disorders are risk factors for depression, and potentially even causal risk factors for the first onset of depression, remains unresolved. Recent results have shown that anxiety disorders increase the risk for subsequent depression, and also affect the course of depression, resulting in a poorer prognosis. Further, some results suggest a dose–response-relationship in revealing that a higher number of anxiety disorders and more severe impairment associated with anxiety disorders additionally increase the risk for subsequent depression. The goal of this paper is to review recent literature, summarize implications of previous findings, and suggest directions for future research regarding preventive and intervention strategies.

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Alm, Charlotte. "The Role of Causal Attribution and Self-Focused Attention for Shyness." Doctoral thesis, Linköping : Department of Behavioural Sciences, Linköpings universitet, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-6455.

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Wittchen, Hans-Ulrich, Katja Beesdo, Antje Bittner, and Renee D. Goodwin. "Depressive episodes - evidence for a causal role of primary anxiety disorders?" Technische Universität Dresden, 2003. https://tud.qucosa.de/id/qucosa%3A26812.

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Anxiety and depressive disorders are common mental disorders in general population, imposing tremendous burden on both affected persons and society. Moreover, comorbidity between anxiety and depressive conditions is high, leading to substantial disability and functional impairment. Findings consistently suggest that anxiety disorders are primary to depression in the majority of comorbid cases. Yet, the question of whether anxiety disorders are risk factors for depression, and potentially even causal risk factors for the first onset of depression, remains unresolved. Recent results have shown that anxiety disorders increase the risk for subsequent depression, and also affect the course of depression, resulting in a poorer prognosis. Further, some results suggest a dose–response-relationship in revealing that a higher number of anxiety disorders and more severe impairment associated with anxiety disorders additionally increase the risk for subsequent depression. The goal of this paper is to review recent literature, summarize implications of previous findings, and suggest directions for future research regarding preventive and intervention strategies.

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Cleveland, Simon. "A Causal Model to Predict Organizational Knowledge Sharing via Information and Communication Technologies." NSUWorks, 2014. http://nsuworks.nova.edu/gscis_etd/16.

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Knowledge management literature identifies numerous barriers that inhibit employees' knowledge seeking and knowledge contributing practices via information and communication technologies (ICTs). Presently, there is a significant gap in the literature that explains what factors promote common knowledge sharing barriers. To bridge this gap, this study examined two research questions: 1) What are the potential factors that contribute to the commonly accepted barriers to knowledge sharing?, and 2) How do these factors impact employees' use of ICTs for knowledge seeking and knowledge contributing? Literature review of 103 knowledge management articles identified three major barriers to knowledge sharing practices (lack of time, poor communication skills, and lack of trust) and three underlying factors that promoted these barriers (role conflict, role ambiguity, and locus of control). A six-stage content analysis study of the 103 knowledge articles identified 199 references to the observed contributors. To address the second research question, a causal knowledge sharing model was developed and seven hypotheses proposed. A survey consisting of 41 questions was distributed to 1,368 full-time analysts from a variety of industries, and 314 useful responses were analyzed using confirmatory factor analysis and structural equation modeling. The results confirmed that role conflict, role ambiguity, and locus of control predicted knowledge seeking and knowledge contributing behaviors via ICTs. Moreover, type of ICTs used was found to moderate the strength of these predictors.

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Keaton, Douglas. "Realization and Causal Role-Playing: an Essay on the Mind/Body Problem." University of Cincinnati / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1280777209.

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Books on the topic "Causal role"

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Chapman, Harry. Nova Scotia's role in the War of 1812. Dartmouth, N.S: Dartmouth Historical Association, 2012.

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Plutynski, Anya. Causation, Causal Selection, and Causal Parity. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199967452.003.0004.

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It is typical to refer to cancer as a “genetic” or “genomic” disease. This claim is ambiguous; one of the central goals of this chapter is to disambiguate this claim. I first distinguish different types of causal claims: claims about causal relevance, causal role, and causal specificity. As a backdrop to this discussion, I introduce what I call the “mechanistic research program” in cancer, according to which progression to cancer involves breakdowns in regulatory controls on gene expression in ways that affect cell birth and death. While this research program has been successful, it has downplayed the role of context in cancer progression, and the fact that disorderly cellular growth is affected by many pathways. I conclude by considering several philosophers’ accounts of “causal selection” and argue that ultimately the causal selection problem is not one but several different problems, requiring different, context-specific solutions.

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Ahn, Woo-kyoung, Nancy S. Kim, and Matthew S. Lebowitz. The Role of Causal Knowledge in Reasoning About Mental Disorders. Edited by Michael R. Waldmann. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199399550.013.31.

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Despite the lack of scientific consensus about the etiologies of mental disorders, practicing clinicians and laypeople alike hold beliefs about the causes of mental disorders, and about the causal relations among symptoms and associated characteristics of mental disorders. This chapter summarizes research on how such causal knowledge systematically affects judgments about the diagnosis, prognosis, and treatment of mental disorders. During diagnosis, causal knowledge affects weighting of symptoms, perception of normality of behaviors, ascriptions of blame, and adherence to the DSM-based diagnostic categories. Regarding prognosis, attributing mental disorders to genetic or neurobiological abnormalities in particular engenders prognostic pessimism. Finally, both clinicians and laypeople endorse medication more strongly as an effective treatment if they believe mental disorders are biologically caused rather than psychologically caused. They also do so when considering disorders in the abstract versus equivalent concrete cases. The chapter discusses the rationality, potential mechanisms, and universality of these phenomena.

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Waldmann, Michael R. Causal Reasoning. Edited by Michael R. Waldmann. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199399550.013.1.

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Although causal reasoning is a component of most human cognitive functions, it has been neglected in cognitive psychology for many decades. To date, textbooks on cognitive psychology do not contain chapters on causal reasoning. The goal of this Handbook is to fill this gap, and to offer state-of-the-art reviews of the field. This introduction to the Handbook provides a general review of different competing theoretical frameworks modeling causal reasoning and learning. It outlines the relationship between psychological theories and their precursors in normative disciplines, such as philosophy and machine learning. It reviews the wide scope of tasks and domains in which the important role of causal knowledge has been documented. In the final section it previews the chapters of the handbook.

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Johnson, Samuel G. B., and Woo-kyoung Ahn. Causal Mechanisms. Edited by Michael R. Waldmann. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199399550.013.12.

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This chapter reviews empirical and theoretical results concerning knowledge of causal mechanisms—beliefs about how and why events are causally linked. First, it reviews the effects of mechanism knowledge, showing that mechanism knowledge can override other cues to causality (including covariation evidence and temporal cues) and structural constraints (the Markov condition), and that mechanisms play a key role in various forms of inductive inference. Second, it examines several theories of how mechanisms are mentally represented—as associations, forces or powers, icons, abstract placeholders, networks, or schemas—and the empirical evidence bearing on each theory. Finally, it describes ways that people acquire mechanism knowledge, discussing the contributions from statistical induction, testimony, reasoning, and perception. For each of these topics, it highlights key open questions for future research.

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McKitrick, Jennifer. Causal Relevance. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198717805.003.0010.

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A causally efficacious or relevant property is a property of a cause. However, not every property of a cause is causally relevant to its effect. Further conditions are needed to screen off causally irrelevant properties. Proposals for further conditions include: The causally relevant property must have explanatory power; there must be counterfactual dependence of the effect on the causally relevant property; there must be a lawful connection between the causally relevant property and its effect; the complete set of causally relevant properties must exclude any other properties from playing a causal role; the causally relevant property must be independent from its effect, in some sense; and finally, the causally relevant property is a member of a set of properties that is minimally sufficient for the effect. The most plausible accounts count dispositions as causally relevant.

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Lagerlund, Henrik, Benjamin Hill, and Stathis Psillos, eds. Reconsidering Causal Powers. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198869528.001.0001.

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Causal powers are returning to the forefront of realist philosophy of science. They were once central features of philosophical thinking about the natures of substances and causes but were banished during the early modern era and the Scientific Revolution. In this collection of essays, distinguished scholars revisit the fortunes of causal powers as scientific explanatory principles within the theories of substance and cause across history. Each author is focused on the philosophical role(s) causal powers was/were thought at the time to play and the reasons offered in support of, or against, their coherence and ability to perform their role(s). By placing rigorous philosophical analyses of thinking about causal powers within their historical contexts, features of their natures which might remain hidden to contemporary practitioners can be more readily identified and more carefully analysed. Canvassed are the thoughts of such important philosophers as Aristotle, Scotus, and Ockham and Buridan, then on through Suárez, Descartes, and Malebranche, to Locke and Hume, and ultimately to contemporary figures like the logical positivists, Goodman and Lewis.

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Rehder, Bob. Concepts as Causal Models. Edited by Michael R. Waldmann. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199399550.013.39.

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This chapter evaluates the case for treating concepts as causal models, the view that people conceive of a categories as consisting of not only features but also the causal relations that link those features. In particular, it reviews the role of causal models in categorization, the process of inferring an object’s category membership by observing its features. Reviewed studies include those testing categories that are either real world or artificial (made up of the experimenters) and subjects that are either adults or children. The chapter concludes that causal models provide accounts of causal-based categorization judgments that are superior to alternative accounts.

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Franklin, Christopher Evan. Minimal Event-Causal Libertarianism. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190682781.003.0002.

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This chapter explains the differences between agency reductionism and nonreductionism, explains the varieties of libertarianism, and sets out the main contours of minimal event-causal libertarianism, highlighting just how minimal this theory is. Crucial to understanding how minimal event-causal libertarianism differs from other event-causal libertarian theories is understanding the location and role of indeterminism in human action, the kinds of mental states essential to causing free action, the nature of nondeterministic causation, and how the theory is constructed from compatibilist accounts. The chapter argues that libertarians must face up to both the problem of luck and the problem of enhanced control when determining the best theoretical location of indeterminism.

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Rehder, Bob. Concepts as Causal Models. Edited by Michael R. Waldmann. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199399550.013.21.

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This chapter evaluates the case for treating concepts as causal models, the view that people conceive of a categories as consisting of not only features but also the causal relations that link those features. In particular, it reviews the role of causal models in category-based induction. Category-based induction consists of drawing inferences about either objects or categories; in the latter case one generalizes a feature to a category (and thus its members). How causal knowledge influences how categories are formed in the first place—causal-based category discovery—is also examined. Whereas the causal model approach provides a generally compelling account of a large variety of inductive inferences, certain key discrepancies between the theory and empirical findings are highlighted. The chapter concludes with a discussion of the new sorts of representations, tasks, and tests that should be applied to the causal model approach to concepts.

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Book chapters on the topic "Causal role"

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Ho, Seng-Beng. "The Causal Role of Sensory Information." In Socio-Affective Computing, 221–82. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32113-4_6.

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Mantel, Susanne. "The Causal Approach and the Role of Dispositions." In Determined by Reasons, 13–41. 1 [edition]. | New York : Routledge, 2018. | Series: Routledge studies in ethics and moral theory ; 44: Routledge, 2018. http://dx.doi.org/10.4324/9781351186353-3.

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Smith, Herbert L. "Research Design: Toward a Realistic Role for Causal Analysis." In Handbooks of Sociology and Social Research, 45–73. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6094-3_4.

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Bo, Yan. "China’s Role in Global Climate Governance and Causal Analysis." In Research Series on the Chinese Dream and China’s Development Path, 39–48. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9660-1_5.

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Neufeld, Eric, and Sonje Kristtorn. "On the Role of the Markov Condition in Causal Reasoning." In Advances in Artificial Intelligence, 257–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11424918_27.

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Niels, Adelka, Sascha R. Guczka, and Monique Janneck. "PUBLIKATION II. COMPUTER-RELATED CAUSAL ATTRIBUTIONS: THE ROLE OF SOCIODEMOGRAPHIC FACTORS." In Attributionen in der Mensch-Computer-Interaktion, 107–23. Wiesbaden: Springer Fachmedien Wiesbaden, 2019. http://dx.doi.org/10.1007/978-3-658-25596-1_5.

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Abell, Peter, and Maria Koumenta. "Case Studies and Statistics in Causal Analysis: The Role of Bayesian Narratives." In Scientific Discovery in the Social Sciences, 11–25. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23769-1_2.

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Esler, Murray. "The Causal Role of Chronic Mental Stress in the Pathogenesis of Essential Hypertension." In Stress and Cardiovascular Disease, 273–83. London: Springer London, 2011. http://dx.doi.org/10.1007/978-1-84882-419-5_15.

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Pylkkänen, Paavo. "Is there Room in Quantum Ontology for a Genuine Causal Role for Consciousness?" In The Palgrave Handbook of Quantum Models in Social Science, 293–317. London: Palgrave Macmillan UK, 2017. http://dx.doi.org/10.1057/978-1-137-49276-0_14.

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Lindley, Craig A., and Mirjam Eladhari. "Causal Normalization: A Methodology for Coherent Story Logic Design in Computer Role-Playing Games." In Computers and Games, 292–307. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-40031-8_20.

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Conference papers on the topic "Causal role"

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Ho, Seng-Beng. "The Role of Synchronic Causal Conditions in Visual Knowledge Learning." In 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2017. http://dx.doi.org/10.1109/cvprw.2017.8.

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Casella, F., J. G. van Putten, and P. Colonna. "Dynamic Simulation of a Biomass-Fired Steam Power Plant: A Comparison Between Causal and A-Causal Modular Modeling." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-41091.

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Dynamic simulation can play a significant role in energy conversion system design, in particular for testing the effect on the system response of different equipment choices, for control system design, operator training and safety/environmental assessment. With reference to a small biomass-fired steam power plant, this paper compares two implementations of a dynamic model of the plant: the first, based on a causal approach and implemented using the Matlab/Simulink software, the second, based on an a-causal object-oriented approach, implemented in the Modelica language and simulated with the Dymola program. The results of transient simulations are compared, and the merits of the two modeling approaches are discussed.

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Zhang, Lei, Farid Kandil, Claus Hilgetag, and Jan Gläscher. "The causal role of temporoparietal junction in computing social influence in human decision-making." In 2019 Conference on Cognitive Computational Neuroscience. Brentwood, Tennessee, USA: Cognitive Computational Neuroscience, 2019. http://dx.doi.org/10.32470/ccn.2019.1120-0.

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Merriman, T. R., A. Shaukat, A. Gosling, M. Bixley, N. Dalbeth, L. Stamp, E. Matisoo-Smith, et al. "FRI0252 Testing for a causal role of mitochondrial variation in the development of gout." In Annual European Congress of Rheumatology, EULAR 2018, Amsterdam, 13–16 June 2018. BMJ Publishing Group Ltd and European League Against Rheumatism, 2018. http://dx.doi.org/10.1136/annrheumdis-2018-eular.5017.

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Söderman, Anne, Anni Rajala, and Anne-Maria Holma. "SME Managers´ Causal Beliefs of the Role of Inter-organizational Learning in Supply Chain: An Empirical Study." In 9th International Conference on Knowledge Management and Information Sharing. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0006492801140120.

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Ford, Carl N., and Vicki Crisp. "The Role of Pilot Error in Civil Aviation Accidents - A Causal Analysis using the HFACS and ASAFE Frameworks." In Advances In Aviation Safety Conference & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2000. http://dx.doi.org/10.4271/2000-01-2104.

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Robinson, Tim, Grace Edmunds, Bryony Hayes, and Kaitlin Wade. "Abstract GS2-06: Exploring the causal role of the human gut microbiome in breast cancer risk using mendelian randomization." In Abstracts: 2020 San Antonio Breast Cancer Virtual Symposium; December 8-11, 2020; San Antonio, Texas. American Association for Cancer Research, 2021. http://dx.doi.org/10.1158/1538-7445.sabcs20-gs2-06.

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Wu, Yiqun, Jee-Young Moon, Christopher I. Amos, Rayjean J. Hung, Gloria Y. Ho, and Tao Wang. "Abstract LB-162: Causal role of body mass index in lung cancer in mendelian randomization analysis accounting for genetic pleiotropism." In Proceedings: AACR Annual Meeting 2018; April 14-18, 2018; Chicago, IL. American Association for Cancer Research, 2018. http://dx.doi.org/10.1158/1538-7445.am2018-lb-162.

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Abid, Ammar, Wenyu Shi, and Christine A. Toh. "The Ends or the Means? Understanding How Students Use Causal and Effectual Information During Design Activities." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-86065.

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Although prior research has shown that information utilized during conceptual design plays a vital role in product success, there is no comprehensive framework for characterizing the types of knowledge used by designers, or the impact of information types on the development of successful ideas. As part of an ongoing effort to develop a Typological Framework of Design Information, this study focuses on understanding the impact of design reasoning using one dimension of information, effectual or causal information. Effectual reasoning refers to setting goals that are driven by the availability of resources that are available to the designer, which is in contrast with causal reasoning, which relies taking actions to achieve a predetermined goal by any means necessary. Since research on effectual and causal information in engineering design is relatively sparse, a controlled pilot study was conducted where students interacted with a web interface and addressed a design problem. Detailed observations of participants’ interactions with the design information and the creativity of design outcomes was investigated. These findings provide insights into the role that effectual information plays in design reasoning and contribute to an emerging Typological Framework of Design Information.

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Springer, Kathleen B., and Jeffrey S. Pigati. "DID CLIMATE PLAY A CAUSAL OR COINCIDENT ROLE IN THE ORIGIN AND DISPLACEMENT HISTORY OF THE EGLINGTON FAULT, LAS VEGAS, NEVADA?" In GSA Annual Meeting in Indianapolis, Indiana, USA - 2018. Geological Society of America, 2018. http://dx.doi.org/10.1130/abs/2018am-322464.

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Reports on the topic "Causal role"

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Chirgwin, John M. Tumor-Secreted Autocrine Motility Factor (AMF): Causal Role in an Animal. Fort Belvoir, VA: Defense Technical Information Center, August 2006. http://dx.doi.org/10.21236/ada459135.

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Prescott, Jason D. Analysis of a Causal Role for ESX in Human Breast Cancer. Fort Belvoir, VA: Defense Technical Information Center, August 2003. http://dx.doi.org/10.21236/ada420155.

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Levine, Alice C. Prostatic Acid Phosphatase Plays a Causal Role in Prostate Cancer Bone Metastases. Fort Belvoir, VA: Defense Technical Information Center, February 2013. http://dx.doi.org/10.21236/ada582286.

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Manning, Sharon D., Clarence E. Rash, Patricia A. LeDuc, Robert K. Noback, and Joseph McKeon. The Role of Human Causal Factors in U.S. Army Unmanned Aerial Vehicle Accidents. Fort Belvoir, VA: Defense Technical Information Center, March 2004. http://dx.doi.org/10.21236/ada421592.

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Chirgwin, John M. Tumor Secreted Autocrine Motility Factor (AMF): Causal Role in an Animal Model of Cachexia. Fort Belvoir, VA: Defense Technical Information Center, August 2005. http://dx.doi.org/10.21236/ada443695.

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Chirgwin, John M. Tumor-Secreted Autocrine Motility Factor AMF: causal Role in an Animal Model of Cachexia. Fort Belvoir, VA: Defense Technical Information Center, August 2003. http://dx.doi.org/10.21236/ada420242.

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Horioka, Charles Yuji. The Causes of Japan's "Lost Decade": The Role of Household Consumption. Cambridge, MA: National Bureau of Economic Research, April 2006. http://dx.doi.org/10.3386/w12142.

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Paul, Satashree. Oxidative Stress: A Cause of Male Infertility. Science Repository OÜ, October 2020. http://dx.doi.org/10.31487/sr.blog.10.

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Weilhammer, D. R. Investigating the role of innate immunity in viral encephalitis caused by Rift Valley fever virus. Office of Scientific and Technical Information (OSTI), October 2019. http://dx.doi.org/10.2172/1573140.

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Meyers, Beth. The role of cause involvement, attitude toward cause-related marketing and perceived motivations in predicting consumers’ intentions to participate in a CRM campaign. Ames: Iowa State University, Digital Repository, 2014. http://dx.doi.org/10.31274/itaa_proceedings-180814-948.

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