PPT-Causal Attributions

Author : giovanna-bartolotta | Published Date : 2015-12-07

The reasons for the behavior of others and ourselves WHY theywe behave a certain way eg the cause of behavior Fritz Heider One of the founders of attribution theory

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The reasons for the behavior of others and ourselves WHY theywe behave a certain way eg the cause of behavior Fritz Heider One of the founders of attribution theory Viewed people as amateur naive scientists trying to figure out causes of behavior and assigning . Jean-Philippe Pellet. Andre . Ellisseeff. Presented by Na Dai. Motivation. Why structure . l. earning?. What are Markov blankets?. Relationship between feature selection and Markov blankets?. Previous work. Reversible Debugging. Ivan . Lanese. Focus research group. Computer Science . and Engineering Department. Univers. ity . of Bologna/INRIA. Bologna, Italy. Joint work with Elena Giachino (FOCUS) and Claudio Antares Mezzina (FBK Trento). Abstract. In many real-world applications, it is important to mine causal relationships where an event or event pattern causes certain outcomes with low probability. Discovering this kind of causal relationships can help us prevent or correct negative outcomes caused by their antecedents. In this paper, we propose an innovative data mining framework and apply it to mine potential causal associations in electronic patient data sets where the drug-related events of interest occur infrequently. Specifically, we created a novel interestingness measure, exclusive causal-leverage, based on a computational, fuzzy recognition-primed decision (RPD) model that we previously developed. On the basis of this new measure, a data mining algorithm was developed to mine the causal relationship between drugs and their associated adverse drug reactions (ADRs). . greater. . discrepancies. between self-attributions and other-attributions causes . embarrassment. When we view the self as more . ridiculous. than we think other people view us, this causes . embarrassment. : A Ground-Breaking use of Directed Acyclic Graphs. Bob Stoddard SEMA. Mike Konrad. SEMA. Copyright 2015 Carnegie Mellon University. This . material is based upon work funded and supported by the Department of Defense under Contract No. FA8721-05-C-0003 with Carnegie Mellon University for the operation of the Software Engineering Institute, a federally funded research and development center.. Susan Athey, Stanford GSB. Based on joint work with Guido Imbens, Stefan Wager. References outside CS literature. Imbens and Rubin Causal Inference book (2015): synthesis of literature prior to big data/ML. theory . Sri Hermawati. The focus of this chapter is on the role of causal processes in decision making.. Newcombs . problem/. the predictors paradox. You are offered a choice between two boxes, B1 and B2. Box . Assoc. . Prof. Dr. Şehnaz . Şahinkarakaş. Introduction to Causal-Comparative Research. A . causal-comparative. . study. is. a . study in which the researcher attempts to determine the cause, or reason, for pre-existing differences in groups of . Dr Steven Stillman. Senior Fellow, Motu . Adjunct Professor of Economics, Waikato. NIDEA Theme Leader, New Zealand’s individuals, families and households. Launch Symposium, November 24. th. 2010. The Importance of Experimental Evidence . System.  .  . Nader . Amir and . Shaan. . McGhie. San Diego State University, San Diego, CA US..  . Disclosure : Dr. . Amir was formerly a part owner of Cognitive Retraining Technologies, . LLC . Naftali Weinberger. Tilburg Center for Logic, Ethics and Philosophy of Science. Time and Causality in the Sciences. June 8. th. , 2017. Principle of the . C. ommon Cause. iPad. Happiness. iPad. Happiness. Causes are . difference-makers. .. Effect need not be . universal/deterministic. .. N. ot . everyone who is bitten by a cobra . dies. .. N. ot . everyone who dies is bitten by a . cobra. .. B. ut . cobra bites still cause . The . Post Hoc . Fallacy . – this is sometimes called the . post hoc ergo propter hoc. fallacy. The full phrase means: “after this, therefore because of this” And it is a causal inference fallacy. (304). Causal arguments are inductive arguments in which the conclusion is a claim that one thing causes another.. For example:. Clogged arteries cause heart attacks. A rough surface produces friction. Exercise during heat causes sweating.

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