PPT-CS 4700: Foundations of Artificial Intelligence
Author : jane-oiler | Published Date : 2018-03-18
Bart Selman selmancscornelledu Module Adversarial Search RampN Chapter 5 Outline Adversarial Search Optimal decisions Minimax αβ pruning Case study Deep Blue
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CS 4700: Foundations of Artificial Intelligence: Transcript
Bart Selman selmancscornelledu Module Adversarial Search RampN Chapter 5 Outline Adversarial Search Optimal decisions Minimax αβ pruning Case study Deep Blue UCT and Go Adversarial Reasoning Games. ICT Ethics Bigger Task 2. Aki Heikkinen. What is artificial . intelligence?. Artificial intelligence (AI) . is . an art . to duplicate human intelligence for . non-living devices [2].. Modern day artificial intelligence is collection of computation operations which makes a machine function toward a specific goal [1].. Jason Fuller. 1. What is Game AI?. Imitate intelligence in the actions of non-player characters (NPCs).. Make the game “feel” real.. Obey laws of the game. Show decision making . and planning. 2. Shuiwang. . Ji. General information. Instructor: . Shuiwang. . Ji. Office hours: Monday and Wednesday, 4:30PM-5:30PM, or by appointment. Office location: E&CS 3204. E-mail: . sji@cs.odu.edu. Research interests: machine learning, data mining, computer vision, computational biology. …and the mind-boggling stuff it can do. . THE MOST GENERAL DESCRIPTION OF AI. . A FANCY REPRESENTATION OF AI. FIRST PRINTING PRESS. FIRST AIRPLANE. LOOKING BACK IN TIME. Artificial Intelligence is a term coined by John McCarthy at the 1956 Dartmouth Conference.. Movies… anyone?. What should I do?. Tell me SOMETHING. Being more formal. Artificial Intelligence is something which gives computers the ability to learn without. b. eing explicitly programmed. Current state of machine intelligence. Bart Selman. selman@cs.cornell.edu. Logical Agents --- . Intro Knowledge Representation. & Boolean Satisfiability (SAT) encodings. R&N: Chapter 7. A Model-Based Agent. Requires: Knowledge and Reasoning. Bart Selman. selman@cs.cornell.edu. Module: Knowledge, Reasoning, and Planning. Logical Agents. Model . Theoretic Semantics. Entailment . and Proof Theory. R&N: Chapter 7. Logical agents:. . . Bart Selman. selman@cs.cornell.edu. Module: Knowledge, Reasoning, and Planning. First-Order Logic and Inference. R&N: Chapters 8 and 9. Finite domains === “essentially propositional.” Also called:. 1. Artificial Intelligence. AI – is a field of learning that emulates human intelligence. Advances in human intelligence:. Machine intelligence has led to Robotics. Space exploration. Medicine. Advanced research . 1. Artificial Intelligence. AI – is a field of learning that emulates human intelligence. Advances in human intelligence:. Machine intelligence has led to Robotics. Space exploration. Medicine. Advanced research . Year : . 20. 1. 3. . . LECTURE 07. First Order. Logic. 2. Introduction to First-Order Logic. Syntax and Semantics of First-Order Logic. Using First-Order Logic. Proof by Resolution. Knowledge Engineering in First-Order Logic. Chapter 10 New Frontiers for Ethical Considerations: Artificial Intelligence and Virtual Reality 1 Artificial Intelligence AI – is a field of learning that emulates human intelligence Advances in human intelligence: REPORT TOP PRIORITY FOR PROFESSIONAL SERVICES ORGANISATIONS PAGE | 1 www.vutu.re explore@vutu.re London +44 20 7928 6250 New York +1 646 569 9079 Sydney +61 (0) 2 82160767 Six steps to A rtificial i (. AI). , sometimes known as machine intelligence, refers . to the ability of computers to perform human-like feats of cognition including learning, problem-solving, perception, decision-making, and speech and language..
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