PowerPoint Presentation Production Systems Semantic Networks Generate and Test Problem Reduction Means-Ends Analysis Fundamentals Production Systems Lesson Preview Cognitive architectures Production systems Chunking What should the pitcher do? ο Pitch to the batter ο Intentionally walk the batter It’s the top of the 7th inning. There are runners on 2nd and 3rd base. There are […]
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Advanced Engineering Informatics 18 (2004) 85–94 Use of design patterns in analogy-based design Ashok K. Goela,1, Sambasiva R. Bhattab,* aCollege of Computing, Georgia Institute of Technology, Atlanta, GA 30332-0280, USA bVerizon Communications, 500 Westchester Avenue, White Plains, NY 10604, USA www.elsevier.com/locate/aei Abstract Design patterns specify generic relations among abstract design elements. We hypothesize that design
CS代考计算机代写 AI scheme algorithm Advanced Engineering Informatics 18 (2004) 85–94 Read More »
PowerPoint Presentation Version Spaces Learning by Recording Cases Incremental Concept Learning Version Spaces Classification Learning Lesson Preview Definition Abstract version spaces Algorithm for version spaces Identification trees Brick Brick Brick left-of Current Concept Brick Brick Brick left-of Not an Arch touches touches supports supports Brick Brick Brick left-of New Concept ¬touches ¬touches must- support must-
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ARTIFICIAL INTELLIGENCE 1 The Structure-Mapping Engine : Algorithm and Examples Brian Falkenhainer* and Kenneth D. Forbus Qualitative Reasoning Group, Department of Computer Science, University of Illinois, 1304 West Springfield Avenue, Urbana, IL 61801, USA Dedre Gentner Psychology Department, University of Illinois, Urbana, IL, USA ABSTRACT This paper describes the structure-mapping engine (SME), a program for
KBAI CS 4635, CS 7637, OMS 7637 Ashok Goel Spring 2015 Final Examination Assigned: Monday, April 13, 2015 (via T-square) Due: Sunday, April 19, 2015 (via T-square) General Instructions (i) This is a take-home examination. This means that you may consult any material from this class and beyond. However, you may not consult any other
CS代考计算机代写 data structure algorithm AI chain KBAI CS 4635, CS 7637, OMS 7637 Ashok Goel Read More »
ArtificialIntelligenceReview6, 3–34, 1992. An Introduction to Case-Based Reasoning* Janet L. Kolodner** College of Computing, Georgia Institute of Technology, Atlanta, GA 30332-0280, U.S.A. Abstract. Case-based reasoning means using old experiences to understand and solve new problems. In case-based reasoning, a reasoner remembers a previous situation similar to the current one and uses that to solve the
PowerPoint Presentation Learning by Correcting Mistakes Metacognition Learning by Correcting Mistakes Meta-Reasoning Ethics in Artificial Intelligence Lesson Preview Explanation-based learning revisited Isolating mistakes Explaining mistakes Correcting mistakes A Cup A cup is an object that is stable and enables drinking. An Object This object is light and made of porcelain. It has a decoration, a
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THE ETHICS OF ARTIFICIAL INTELLIGENCE (2011) Nick Bostrom Eliezer Yudkowsky Draft for Cambridge Handbook of Artificial Intelligence, eds. William Ramsey and Keith Frankish (Cambridge University Press, 2011): forthcoming The possibility of creating thinking machines raises a host of ethical issues. These questions relate both to ensuring that such machines do not harm humans and other
STAT 513/413: Lecture 8 Computer generated… random numbers? Rizzo, Chapter 3 (the creed of Monte Carlo) What is the opposite of random? The opposite of random – fully within reach/grasp – is called deterministic Note: “fully within reach/grasp” does not mean “we are fully capable to control it”, only “we are fully capable of understanding
CS代考计算机代写 gui algorithm STAT 513/413: Lecture 8 Computer generated… random numbers? Read More »
Computers and Creativity Jon McCormack r Mark d’Inverno Editors Computers and Creativity Editors Jon McCormack Faculty of Information Technology Monash University Caulfield East, Victoria Australia Mark d’ Inverno Computing Department Goldsmiths, University of London New Cross, London UK ISBN 978-3-642-31726-2 DOI 10.1007/978-3-642-31727-9 Springer Heidelberg New York Dordrecht London Library of Congress Control Number: 2012946745 ACM