CS324-Artificial Intelligence Lecture 1: Introduction Waheed Noor Computer Science and Information Technology‚ University of Balochistan‚ Quetta‚ Pakistan Waheed Noor (CS&IT‚ UoB‚ Quetta) CS324-Artificial Intelligence November 2012 1 / 23 Outline 1 Course Description What is AI? Historical Evolution Sub-Areas of AI Goals of AI References 2 Waheed Noor (CS&IT‚ UoB‚ Quetta) CS324-Artificial Intelligence November 2012 2 / 23 Outline 1 Course Description
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#1 – Artificial Intelligence/Nuclear Power Thesis & Outline: ______________________________ Rough Draft: __________________________________ Final Draft:____________________________________ Option #1: Explain why the authors below do not fear the advent of artificial intelligence. Write an informative essay that focuses primarily on the performance of IBM’s Watson on the quiz show Jeopardy. Feel free to reference a pop culture movie or TV show where artificial intelligence goes awry as a contrast
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idea of weak artificial intelligence‚ and the idea of strong artificial intelligence. Weak artificial intelligence is essentially a grouping of computer programs‚ which need human input whereas strong artificial intelligence has the ability to think and have the same cognitive brain activity as humans do. Searle accepts the idea of weak artificial intelligence but on the other hand he rejects strong artificial intelligence
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Ant Colony Optimization EDWIN WONG PHILLIP SUMMERS ROSALYN KU PATRICK XIE PIC 10C SPRING 2011 Swarm Intelligence Swarms Swarm of bees Ant colony as swarm of ants Flock of birds as swarm of birds Traffic as swarm of cars Immune system as swarm of cells and molecules ... Swarm Intelligence/Agent Based Modeling Model complex behavior using simple agents Swarm Intelligence Digital Crumbs a la Hansel and Gretel Idea: stigmergy is a mechanism of communication by modifying the environment
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ARTIFICIAL PASSENGER-An interactive Artificial Intelligence Anushree N.S.‚ L.Kavyashree 5th semester‚ department of ISE ‚BITM ‚ Bellary. Abstract-Usually‚ an automobilist interacts with the other passengers to stay alert during a journey. This methodology may not actually help him to the mark. But‚ an application of the artificial intelligence can fix the issue. It is called as “Artificial
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Chapter 11: Business Intelligence and Knowledge Management Data Mining and Online Analysis * Data warehouses are useless without software tools * Process data into information * Business intelligence (BI): information gleaned with information tools Data Mining * Data mining: selecting‚ exploring‚ and modeling data * * Supports decision making * Finds relationships and ratios within data * Finds unknown relationships * * Queries are more
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How Business Intelligence is in today ’s global competition Jack Cheung 5-Mar-2013 • What’s Business Intelligence • How BI provides business values to enterprises • Popular BI applications – – – – – – BI reports and dashboards Budget planning Financial consolidation and reporting What-if analysis Balanced scorecard Data mining • Challenges of implementing BI projects • Hot BI topics in 2013 – Big data – Cloud – Social networking • BI career development • References • Q&A What’s
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CHAPTER 4: For questions 1–4‚ choose two of the following to fill in the blanks: IMPORTANT‚ UNIMPORTANT‚ URGENT‚ NOT URGENT [Capitalize all answers.] 1. Quadrant I actions are IMPORTANT and URGENT. 2. Quadrant II actions are IMPORTANT and NOT URGENT 3. Quadrant III actions are UNIMPORTANT and URGENT. 4. Quadrant IV actions are UNIMPORTANT and NOT URGENT. 5. Creators spend as much time as possible in Quadrant… A. II Mastering Effective Self-Management 1. It is possible to manage
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Business Intelligence Software at SYSCO Case Review The main obstacles will be some resistance of the operating companies in participating share of the overall cost of the project. This is due to two reasons: cost and having previously implemented BI systems in these companies. Both of these questions present a clear business case to upper management‚ which will help to address/achieve new strategic plan for the company. BI capabilities would be clearer when it addresses such important questions
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How We Learn Multiple Intelligences (M.I) was a theory Howard Gardner developed in 1983. This is a theory of intelligences was a good way to explain the different ways that people learn. This theory explains how people learn and others learn in different ways. Intelligence is the ability to understand‚ learn and problem solve or creativity that are valued within one or more cultural settings”. Gardner found that there are eight intelligences and could possibly be more. Paragraph 2 Howard Gardner
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