PPT-CS440/ECE448: Artificial Intelligence

CS440ECE448 Artificial Intelligence Section Q course website httpslazebnicsillinoisedufall17 What is AI What is AI Four possible definitions textbook ch 1 Thinking humanly. CS440/ECE448: Artificial Intelligence. Course website:. http://. slazebni.cs.illinois.edu. /fall15/. What is AI?. Candidate definitions from the textbook:. 1.. . Thinking. humanly. 2. Acting humanly. 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. CS440/ECE448: Artificial Intelligence. Course website:. http://. slazebni.cs.illinois.edu. /fall15/. What is AI?. Candidate definitions from the textbook:. 1.. . Thinking. humanly. 2. Acting humanly. 1. CS440. Eclipse basics. Written in Java. Based on . Equinox. framework. Modular Java specification . OSGi. (Open Services Gateway initiative). Dynamically loaded modules: bundles. Android Development Tools (ADT) plug-in: Bundle. Lecture # 3. Intelligence. Intelligence.  has been defined in many different ways including as one's capacity for . Logic. Understanding. self-awareness. Learning.  emotional knowledge, . planning,. 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. Presented . by. :. . . Oliwual. . Islam. . . Vivek. . Mishra. . . Rahul. . Ravish. . to . rscheearch. at . Cmabrigde. . Uinervtisy. , it . deosn't. . mttaer. in . waht. . oredr. the . ltteers. in a . wrod. are, the . olny. . iprmoatnt. . tihng. is . taht. the . frist. and . 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. 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 Logistic Regression. Mark Hasegawa-Johnson, 2/2022. License: CC-BY 4.0. Outline. One-hot vectors: rewriting the perceptron to look like linear regression. Softmax. : Soft category boundaries. Cross-entropy = negative log probability of the training data. Markov Decision Processes. Mark Hasegawa-Johnson, 4/2020. Including slides by Svetlana Lazebnik, 11/2016. Including many figures by Peter . Abbeel. and Dan Klein, UC Berkeley CS 188. Grid World. Invented and drawn by Peter . Linear Classifiers. Mark Hasegawa-Johnson, 3/2020. Including Slides by . Svetlana Lazebnik, 10/2016. License: CC-BY 4.0. Linear Classifiers. Classifiers. Perceptron. Linear classifiers in general. Logistic regression.