PPT-Ch. 14 – Probabilistic Reasoning

Supplemental slides for CSE 327 Prof Jeff Heflin Conditional Independence if effects E 1 E 2 E n are conditionally independent given cause C can be used to factor joint distributions. - Charles Sanders Peirce. Using Models of Reasoning. A Return to Logos. Reasoning from Specific Instances. Progressing from a number of particular facts to a general conclusion. .. This is also known as inductive reasoning.. Deductive reasoning. , also . deductive logic. or . logical deduction. or, informally, . ". top-down. " logic. , is the process of . reasoning. from one or more . statements. (premises) to reach a logically certain conclusion. It differs from . (goal-oriented). Action. Probabilistic. Outcome. Time 1. Time 2. Goal State. 1. Action. State. Maximize Goal Achievement. Dead End. A1. A2. I. A1. A2. A1. A2. A1. A2. A1. A2. Left Outcomes are more likely. Rebecca Wulf. Ivy Tech Lafayette. rwulf@ivytech.edu. . Ben Markham. Ivy Tech Bloomington. bmarkham@ivytech.edu. . Sharon Koch. Ivy Tech Gary. s. koch12@ivytech.edu. . Ivy Tech Community College. 30 . Shou-pon. Lin. Advisor: Nicholas F. . Maxemchuk. Department. . of. . Electrical. . Engineering,. . Columbia. . University,. . New. . York,. . NY. . 10027. . Problem: . Markov decision process or Markov chain with exceedingly large state space. Ashish Srivastava. Harshil Pathak. Introduction to Probabilistic Automaton. Deterministic Probabilistic Finite Automata. Probabilistic Finite Automaton. Probably Approximately Correct (PAC) learnability. Sub; legal method and legal reasoning. NITIN RANA. PARIKSHIT GAUR. PURNENDU . PuLKITPAL. . SINGH. RISHAB RAJ. RITIKA GAUTAM. Group MEMBERS ARE -. Deductive reasoning is sometimes referred to as top-down logic. Its counterpart, inductive reasoning, is sometimes referred to as bottom-up logic. Where deductive reasoning proceeds from general premises to a specific conclusion, inductive reasoning proceeds from specific premises to a general conclusion. . The other side of logic. Deduction . vs. Induction. Deduction – General to Specific. Induction – Specific to General. Inductive reasoning. Uses particular facts, common threads and ideas to draw a conclusion suggested by evidence. Ashish Srivastava. Harshil Pathak. Introduction to Probabilistic Automaton. Deterministic Probabilistic Finite Automata. Probabilistic Finite Automaton. Probably Approximately Correct (PAC) learnability. Task Force. Final Report. 15 September . 2016. Guiding Principle: . Educational Policy must balance access and opportunity to achieve equity.. Recommendation I. Define quantitative reasoning. Recommendation I. Humans use their common sense all the time. what is it?. can we instill it in our AI programs?. if not, what are the consequences for AI?. We might think of common sense reasoning as the knowledge accumulated through experience that gives us the ability to. Chapter 3: Probabilistic Query Answering (1). 2. Objectives. In this chapter, you will:. Learn the challenge of probabilistic query answering on uncertain data. Become familiar with the . framework for probabilistic . - Charles Sanders Peirce. On the Radar. Researching the Persuasive Speech Assignment. Due Wednesday on . WebCT. (by 11:59 p.m.). Exam Two. This Friday in Lecture. Study Guide on Course Website. Workshops for the Persuasive Speech. CS772A: Probabilistic Machine Learning. Piyush Rai. Course Logistics. Course Name: Probabilistic Machine Learning – . CS772A. 2 classes each week. Mon/. Thur. 18:00-19:30. Venue: KD-101. All material (readings etc) will be posted on course webpage (internal access).