Artificial Intelligence Chapter 1 Chapter 1 1 ♦ What is AI? ♦ A brief history ♦ The state of the art Outline Chapter 1 2 What is AI? Systems that think like humans Systems that think rationally Systems that act like humans Systems that act rationally Chapter 1 3 Acting humanly: The Turing test Turing […]
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Introduction The McCulloch-Pitts Neuron The Single-Layer Perceptrons Feedforward Single-Layer Networks Multilayer Perce Artificial Neural Networks MAST90083 Computational Statistics and Data Mining Karim Seghouane School of Mathematics & Statistics The University of Melbourne Artificial Neural Networks 1/43 Introduction The McCulloch-Pitts Neuron The Single-Layer Perceptrons Feedforward Single-Layer Networks Multilayer Perce Outline §i. Introduction §ii. The McCulloch-Pitts Neuron
CSC242: Intro to AI Project 2: Model Checking and Satisfiability Testing In this project we will investigate using propositional logic to represent knowledge and do inference. To simplify things, we will assume that knowledge is represented as clauses (a.k.a. conjunctive normal form or CNF). We will see clauses in Lecture 2.3, but you probably shouldn’t
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COMP30024 Artificial Intelligence Week 6 Problem Sheet Weekly Topic Review Last week you investigated pruning strategies which exclude regions of state space which provably cannot contain the optimal solution from search, but may still need to search an unacceptably large region of the search tree. Heuristic methods tradeoff optimality for speed, recognizing it is infeasible
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Discussion 12 1. The bin packing problem is as follows. You have an infinite supply of bins, each of which can hold M maximum weight. You also have n objects, each of which has a (possibly distinct) weight wi (any given wi is at most M). Our goal is to partition the objects into bins,
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CSC373H Lecture 2 CSC373H Lecture 2 September 15, 2021 Greedy Proof Technique ▶ Let S0 be our state before the first iteration of greedy ▶ Let S1 be our partial solution after the first iteration of greedy ▶ Let S2 be our partial solution after the second iteration of greedy ▶ . . . Let
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CS570 Analysis of Algorithms Summer 2017 Exam II Name: _____________________ Student ID: _________________ Email Address:________________ _____Check if DEN Student Maximum Received Problem 1 20 Problem 2 20 Problem 3 20 Problem 4 20 Problem 5 20 Total 100 Instructions: 1. This is a 2-hr exam. Closed book and notes 2. If a description to an
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CSU22022, 10th Lecture, Dr. M. Manzke, Page: 1 Timing CSU22022, 10th Lecture, Dr. M. Manzke, Page: 2 Control Unit Design Two contrasting approaches to control unit design have evolved: Hard-wired Micro-coded CSU22022, 10th Lecture, Dr. M. Manzke, Page: 3 Example We will consider a shift-and-add multiply circuit as an example of each design approach. If
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CSC373H Lecture 1 CSC373H Lecture 1 September 8, 2021 Welcome to CSC373 ▶ This course introduces powerful ways of designing algorithms ▶ We’ll learn ▶ Greedy algorithms: generally very fast . . . when they work! ▶ Dynamic programming: applies to many problems ▶ Maximum-flow: useful for reductions ▶ Approximation algorithms: for problems that are
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CSU22022, 6th Lecture, Dr. M. Manzke, Page: 1 Arithmetic Circuit The arithmetic circuit may implemented with the following components: Parallel Adder Build from a cascade of full-adder circuits The data input to the parallel adder is manipulated in order to achieve a number of arithmetic operations CSU22022, 6th Lecture, Dr. M. Manzke, Page: 2 N-bit
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