'Causal reasoning' diaporamas de présentation

Chapter 3: Methods of Inference

Chapter 3: Methods of Inference. Objectives. Learn the definitions of trees, lattices, and graphs Learn about state and problem spaces Learn about AND-OR trees and goals Explore different methods and rules of inference

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The Ethics of Public Speaking and Persuasion

The Ethics of Public Speaking and Persuasion . Brian Rogers Chemical Engineering 4903. Overview. Ethics in Speaking Persuasion Arguing Effectively Organization . The Ends and The Means. Have ethical goals Employ ethical means. The Ends and The Means. Ethical dilemmas

839 views • 58 slides

Early Childhood Thought: Islands of Competence

Early Childhood Thought: Islands of Competence. The Development of Children (5 th ed.) Cole, Cole & Lightfoot Chapter 9. Early Childhood (age 2-6). Typical pattern of thinking in preschool years Mixture of sound logic and magical thinking Insight and ignorance

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Chapter 17

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Causal Reasoning during Reading of Clinical Reports in Clinicians

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Using Models of Reasoning

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Bayesian Network

Bayesian Network. By Zhang Liliang. Key Point Today. Intro to Bayesian Network Usage of Bayesian Network Reasoning BN: D-separation. Bayesian Network Definition. Bayes networks defines Joint Distribution in term of a graph over a collection of random variable. D ifficulty {easy, hard}

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Causation

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Changing directions in the study of conditioning

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Causation and the Rules of Inference

Causation and the Rules of Inference. Classes 4 and 5. Arlington Heights and Causal Reasoning in Law.

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Chapter 7.24 : Persuasive Speaking

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Measuring variations Causality and causal modelling in the social sciences

Measuring variations Causality and causal modelling in the social sciences. Federica Russo Philosophy, Louvain & Kent. Overview. Locate this work: Metaphysics, epistemology, methodology of causality Domain; interest; objective The guiding question Rationale (vs. definition)

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Scientific Reasoning

Scientific Reasoning. What is Science?. Testing hypotheses about the world with data Performing experiments that control alternative causes in order to make causal attributions Scientists must do causal reasoning Generate theories Test theories. The Cycle of Science.

1.09k views • 9 slides

Reasoning Patterns

Representation. Probabilistic Graphical Models. Bayesian Networks. Reasoning Patterns. d 0. d 1. i 0. i 1. 0.6. 0.4. 0.7. 0.3. g 1. g 2. g 3. i 0 ,d 0. 0.3. 0.4. 0.3. i 0 ,d 1. 0.05. 0.25. 0.7. s 0. s 1. i 1 ,d 0. 0.9. 0.08. 0.02. i 0. 0.95. 0.05. i 1 ,d 1. 0.5.

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Reasoning About Causes

Reasoning About Causes. What are causes for?. We use causal information to reason about the world How do objects work? Why do people do what they do? Without causes, we can only reason with co-occurrences Eclipses seem mysterious without causal knowledge

269 views • 8 slides