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Causal Knowledge (causal + knowledge)
Selected AbstractsBayes nets and babies: infants' developing statistical reasoning abilities and their representation of causal knowledgeDEVELOPMENTAL SCIENCE, Issue 3 2007David M. Sobel A fundamental assumption of the causal graphical model framework is the Markov assumption, which posits that learners can discriminate between two events that are dependent because of a direct causal relation between them and two events that are independent conditional on the value of another event(s). Sobel and Kirkham (2006) demonstrated that 8-month-old infants registered conditional independence information among a sequence of events; infants responded according to the Markov assumption in such a way that was inconsistent with models that rely on simple calculations of associative strength. The present experiment extends these findings to younger infants, and demonstrates that such responses potentially develop during the second half of the first year of life. These data are discussed in terms of a developmental trajectory between associative mechanisms and causal graphical models as representations of infants' causal and statistical learning. [source] How fantasy benefits young children's understanding of pretenseDEVELOPMENTAL SCIENCE, Issue 1 2006David M. Sobel Sobel and Lillard (2001) demonstrated that 4-year-olds' understanding of the role that the mind plays in pretending improved when children were asked questions in a fantasy context. The present study investigated whether this fantasy effect was motivated by children recognizing that fantasy contains violations of real-world causal structure. In Experiment 1, 4-year-olds were shown a fantasy character engaged in ordinary actions or actions that violated causal knowledge. Children were more likely to say that a troll doll who was acting like but ignorant of the character was not pretending to be that character when read the violation story. Experiment 2 suggested that this difference was not caused by a greater interest in the violation story. Experiment 3 demonstrated a similar difference for characters engaged in social and functional violations that were possible in the real world. These data are consistent with the hypothesis that preschoolers use actions and appearance more than mental states to make judgments about pretense, but that those judgments can be influenced by the context in which the questions are presented. [source] Forming a national multicentre collaboration to conduct clinical trials: Increasing high-quality research in the drug and alcohol fieldDRUG AND ALCOHOL REVIEW, Issue 5 2010ROB SANSON-FISHER Abstract Issues. There is a shortage of high-quality intervention-based evidence in the drug and alcohol misuse field. That is, evidence based on replicated effects using rigorous methodology, to establish a causal knowledge base around ethical, cost-effective methods relevant to clinical practice. The knowledge base in this field is limited participant recruitment challenges; difficulty generalising results from single-centre studies; lack of research culture; issues in managing research teams; incentives for descriptive research; and limited expertise in research design and working in multidisciplinary teams. Approach. An Australian national multicentre collaboration is proposed to overcome these barriers, and reduce the burden of drug and alcohol misuse by increasing the number of high-quality clinical trials in this field. It would involve: selecting a representative sample of centres nation-wide with expertise in specific drug and alcohol issues; creating an expert multidisciplinary team to facilitate clinical trials; simultaneous recruitment and implementation of clinical trials across centres; establishing a virtual infrastructure; forming an independent data-integrity and methodology review panel; and attracting and allocating funding for clinical trials. Implications. The ability to allocate funding, the involvement of multidisciplinary experts in drug and alcohol research, and the establishment of infrastructure and procedures are likely to result in the national multicentre group's capacity to prescribe the type of research conducted under its auspices. Conclusion. The proposed initiative is likely to increase the volume of high-quality clinical trials in the Australian drug and alcohol field, a key step towards reducing the burden of drug and alcohol misuse.[Sanson-Fisher R, Brand M, Shakeshaft A, Haber P, Day C, Conigrave K, Mattick R, Lintzeris N, Teesson M. Forming a national multicentre collaboration to conduct clinical trials: Increasing high-quality research in the drug and alcohol field. Drug Alcohol Rev 2010;29;469,474] [source] Ideas and Environmental Standard-Setting: A Comparative Study of Regulation of the Pulp and Paper IndustryGOVERNANCE, Issue 1 2002Kathryn Harrison This article examines the policy responses of Canada, Sweden, and the United States to the discovery of dioxins in pulp mill effluents and paper products, with particular attention to the impact of science and the scientific community on national environmental standards. Important areas of policy divergence were found, despite considerable scientific consensus among environmental scientists in the three jurisdictions, as the potential force of shared causal knowledge was undermined by competing domestic interests and different institutional contexts for decision-making. This analysis challenges the emphasis of the epistemic community literature on the role of scientists in promoting policy convergence, underscoring the importance of the interaction of ideas, interest group politics, and institutions in public policy-making. [source] Introduction to the Epistemology of CausationPHILOSOPHY COMPASS (ELECTRONIC), Issue 6 2009Frederick Eberhardt This survey presents some of the main principles involved in discovering causal relations. They belong to a large array of possible assumptions and conditions about causal relations, whose various combinations limit the possibilities of acquiring causal knowledge in different ways. How much and in what detail the causal structure can be discovered from what kinds of data depends on the particular set of assumptions one is able to make. The assumptions considered here provide a starting point to explore further the foundations of causal discovery procedures, and how they can be improved. [source] Categorization as causal reasoning,COGNITIVE SCIENCE - A MULTIDISCIPLINARY JOURNAL, Issue 5 2003Bob Rehder Abstract A theory of categorization is presented in which knowledge of causal relationships between category features is represented in terms of asymmetric and probabilistic causal mechanisms. According to causal-model theory, objects are classified as category members to the extent they are likely to have been generated or produced by those mechanisms. The empirical results confirmed that participants rated exemplars good category members to the extent their features manifested the expectations that causal knowledge induces, such as correlations between feature pairs that are directly connected by causal relationships. These expectations also included sensitivity to higher-order feature interactions that emerge from the asymmetries inherent in causal relationships. Quantitative fits of causal-model theory were superior to those obtained with extensions to traditional similarity-based models that represent causal knowledge either as higher-order relational features or "prior exemplars" stored in memory. [source] | |||||||||||||