Predicting Unsolvable Deals in the Birds of a Feather Solitaire Game
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Spy Culture and the Making of the Modern Intelligence Agency: from Richard Hannay to James Bond to Drone Warfare By
Spy Culture and the Making of the Modern Intelligence Agency: From Richard Hannay to James Bond to Drone Warfare by Matthew A. Bellamy A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (English Language and Literature) in the University of Michigan 2018 Dissertation Committee: Associate Professor Susan Najita, Chair Professor Daniel Hack Professor Mika Lavaque-Manty Associate Professor Andrea Zemgulys Matthew A. Bellamy [email protected] ORCID iD: 0000-0001-6914-8116 © Matthew A. Bellamy 2018 DEDICATION This dissertation is dedicated to all my students, from those in Jacksonville, Florida to those in Port-au-Prince, Haiti and Ann Arbor, Michigan. It is also dedicated to the friends and mentors who have been with me over the seven years of my graduate career. Especially to Charity and Charisse. ii TABLE OF CONTENTS Dedication ii List of Figures v Abstract vi Chapter 1 Introduction: Espionage as the Loss of Agency 1 Methodology; or, Why Study Spy Fiction? 3 A Brief Overview of the Entwined Histories of Espionage as a Practice and Espionage as a Cultural Product 20 Chapter Outline: Chapters 2 and 3 31 Chapter Outline: Chapters 4, 5 and 6 40 Chapter 2 The Spy Agency as a Discursive Formation, Part 1: Conspiracy, Bureaucracy and the Espionage Mindset 52 The SPECTRE of the Many-Headed HYDRA: Conspiracy and the Public’s Experience of Spy Agencies 64 Writing in the Machine: Bureaucracy and Espionage 86 Chapter 3: The Spy Agency as a Discursive Formation, Part 2: Cruelty and Technophilia -
Evolutionary Design of Freecell Solvers Achiya Elyasaf, Ami Hauptman, and Moshe Sipper
IEEE TRANSACTIONS ON COMPUTATIONAL INTELLIGENCE AND AI IN GAMES 1 Evolutionary Design of FreeCell Solvers Achiya Elyasaf, Ami Hauptman, and Moshe Sipper Abstract—We evolve heuristics to guide staged deepening search for the hard game of FreeCell, obtaining top-notch solvers for this human-challenging puzzle. We first devise several novel heuristic measures using minimal domain knowledge and then use them as building blocks in two evolutionary setups involving a standard genetic algorithm and policy-based, genetic programming. Our evolved solvers outperform the best FreeCell solver to date by three distinct measures: 1) number of search nodes is reduced by over 78%; 2) time to solution is reduced by over 94%; and 3) average solution length is reduced by over 30%. Our top solver is the best published FreeCell player to date, solving 99.65% of the standard Microsoft 32K problem set. Moreover, it is able to convincingly beat high-ranking human players. Fig. 1. A FreeCell game configuration. Cascades: Bottom 8 piles. Foun- Index Terms—Evolutionary Algorithms, Genetic Algorithms, dations: 4 upper-right piles. Free cells: 4 upper-left cells. Note that cascades Genetic Programing, Heuristic, Hyper Heuristic, FreeCell are not arranged according to suits, but foundations are. Legal moves for the current configuration: 1) moving 7| from the leftmost cascade to either the pile fourth from the left (on top of the 8}), or to the pile third from the right I. INTRODUCTION (on top of the 8~); 2) moving the 6} from the right cascade to the left one (on top of the 7|); and 3) moving any single card on top of a cascade onto ISCRETE puzzles, also known as single-player games, the empty free cell. -
Solitaire: Man Versus Machine
Solitaire: Man Versus Machine Xiang Yan∗ Persi Diaconis∗ Paat Rusmevichientong† Benjamin Van Roy∗ ∗Stanford University {xyan,persi.diaconis,bvr}@stanford.edu †Cornell University [email protected] Abstract In this paper, we use the rollout method for policy improvement to an- alyze a version of Klondike solitaire. This version, sometimes called thoughtful solitaire, has all cards revealed to the player, but then follows the usual Klondike rules. A strategy that we establish, using iterated roll- outs, wins about twice as many games on average as an expert human player does. 1 Introduction Though proposed more than fifty years ago [1, 7], the effectiveness of the policy improve- ment algorithm remains a mystery. For discounted or average reward Markov decision problems with n states and two possible actions per state, the tightest known worst-case upper bound in terms of n on the number of iterations taken to find an optimal policy is O(2n/n) [9]. This is also the tightest known upper bound for deterministic Markov de- cision problems. It is surprising, however, that there are no known examples of Markov decision problems with two possible actions per state for which more than n + 2 iterations are required. A more intriguing fact is that even for problems with a large number of states – say, in the millions – an optimal policy is often delivered after only half a dozen or so iterations. In problems where n is enormous – say, a googol – this may appear to be a moot point because each iteration requires Ω(n) compute time. In particular, a policy is represented by a table with one action per state and each iteration improves the policy by updating each entry of this table. -
The Art of Insight in Science and Engineering
The Art of Insight in Science and Engineering 2014-09-02 10:51:35 UTC / rev 78ca0ee9dfae 2014-09-02 10:51:35 UTC / rev 78ca0ee9dfae The Art of Insight in Science and Engineering Mastering Complexity Sanjoy Mahajan The MIT Press Cambridge, Massachusetts London, England 2014-09-02 10:51:35 UTC / rev 78ca0ee9dfae © 2014 Sanjoy Mahajan The Art of Insight in Science and Engineering: Mastering Complexity by Sanjoy Mahajan (author) and MIT Press (publisher) is licensed under the Creative Commons At- tribution–Noncommercial–ShareAlike 4.0 International License. A copy of the license is available at creativecommons.org/licenses/by-nc-sa/4.0/ MIT Press books may be purchased at special quantity discounts for business or sales promotional use. For information, please email [email protected]. Typeset by the author in 10.5/13.3 Palatino and Computer Modern Sans using ConTEXt and LuaTEX. Library of Congress Cataloging-in-Publication Data Mahajan, Sanjoy, 1969- author. The art of insight in science and engineering : mastering complexity / Sanjoy Mahajan. pages cm Includes bibliographical references and index. ISBN 978-0-262-52654-8 (pbk. : alk. paper) 1. Statistical physics. 2. Estimation theory. 3. Hypothesis. 4. Problem solving. I. Title. QC174.85.E88M34 2014 501’.9-dc23 2014003652 Printed and bound in the United States of America 10 9 8 7 6 5 4 3 2 1 2014-09-02 10:51:35 UTC / rev 78ca0ee9dfae For my teachers, who showed me the way Peter Goldreich Carver Mead Sterl Phinney And for my students, one of whom said I used to be curious, naively curious. -
The Dictionary Legend
THE DICTIONARY The following list is a compilation of words and phrases that have been taken from a variety of sources that are utilized in the research and following of Street Gangs and Security Threat Groups. The information that is contained here is the most accurate and current that is presently available. If you are a recipient of this book, you are asked to review it and comment on its usefulness. If you have something that you feel should be included, please submit it so it may be added to future updates. Please note: the information here is to be used as an aid in the interpretation of Street Gangs and Security Threat Groups communication. Words and meanings change constantly. Compiled by the Woodman State Jail, Security Threat Group Office, and from information obtained from, but not limited to, the following: a) Texas Attorney General conference, October 1999 and 2003 b) Texas Department of Criminal Justice - Security Threat Group Officers c) California Department of Corrections d) Sacramento Intelligence Unit LEGEND: BOLD TYPE: Term or Phrase being used (Parenthesis): Used to show the possible origin of the term Meaning: Possible interpretation of the term PLEASE USE EXTREME CARE AND CAUTION IN THE DISPLAY AND USE OF THIS BOOK. DO NOT LEAVE IT WHERE IT CAN BE LOCATED, ACCESSED OR UTILIZED BY ANY UNAUTHORIZED PERSON. Revised: 25 August 2004 1 TABLE OF CONTENTS A: Pages 3-9 O: Pages 100-104 B: Pages 10-22 P: Pages 104-114 C: Pages 22-40 Q: Pages 114-115 D: Pages 40-46 R: Pages 115-122 E: Pages 46-51 S: Pages 122-136 F: Pages 51-58 T: Pages 136-146 G: Pages 58-64 U: Pages 146-148 H: Pages 64-70 V: Pages 148-150 I: Pages 70-73 W: Pages 150-155 J: Pages 73-76 X: Page 155 K: Pages 76-80 Y: Pages 155-156 L: Pages 80-87 Z: Page 157 M: Pages 87-96 #s: Pages 157-168 N: Pages 96-100 COMMENTS: When this “Dictionary” was first started, it was done primarily as an aid for the Security Threat Group Officers in the Texas Department of Criminal Justice (TDCJ). -
AI Education: Birds of a Feather Todd W
Computer Science Faculty Publications Computer Science 2016 AI Education: Birds of a Feather Todd W. Neller Gettysburg College Follow this and additional works at: https://cupola.gettysburg.edu/csfac Part of the Artificial Intelligence and Robotics Commons, and the Game Design Commons Share feedback about the accessibility of this item. Neller, Todd. "AI Education: Birds of a Feather." AI Matters 2, no. 4 (Summer 2016): 7-8. This is the publisher's version of the work. This publication appears in Gettysburg College's institutional repository by permission of the copyright owner for personal use, not for redistribution. Cupola permanent link: https://cupola.gettysburg.edu/csfac/40 This open access article is brought to you by The uC pola: Scholarship at Gettysburg College. It has been accepted for inclusion by an authorized administrator of The uC pola. For more information, please contact [email protected]. AI Education: Birds of a Feather Abstract Games are beautifully crafted microworlds that invite players to explore complex terrains that spring into existence from even simple rules. As AI educators, games can offer fun ways of teaching important concepts and techniques. Just as Martin Gardner employed games and puzzles to engage both amateurs and professionals in the pursuit of Mathematics, a well-chosen game or puzzle can provide a catalyst for AI learning and research. [excerpt] Keywords Artificial Intelligence, games, solitaire, card games Disciplines Artificial Intelligence and Robotics | Computer Sciences | Game Design Comments Additional resources are provided here: http://cs.gettysburg.edu/ai-matters/index.php/Resources This article is available at The uC pola: Scholarship at Gettysburg College: https://cupola.gettysburg.edu/csfac/40 AI MATTERS, VOLUME 2, ISSUE 4 SUMMER 2016 Ed AI Education: Birds of a Feather Todd W. -
Critical Thinking
Critical Thinking Mark Storey Bellevue College Copyright (c) 2013 Mark Storey Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is found at http://www.gnu.org/copyleft/fdl.txt. 1 Contents Part 1 Chapter 1: Thinking Critically about the Logic of Arguments .. 3 Chapter 2: Deduction and Induction ………… ………………. 10 Chapter 3: Evaluating Deductive Arguments ……………...…. 16 Chapter 4: Evaluating Inductive Arguments …………..……… 24 Chapter 5: Deductive Soundness and Inductive Cogency ….…. 29 Chapter 6: The Counterexample Method ……………………... 33 Part 2 Chapter 7: Fallacies ………………….………….……………. 43 Chapter 8: Arguments from Analogy ………………………… 75 Part 3 Chapter 9: Categorical Patterns….…….………….…………… 86 Chapter 10: Propositional Patterns……..….…………...……… 116 Part 4 Chapter 11: Causal Arguments....……..………….………....…. 143 Chapter 12: Hypotheses.….………………………………….… 159 Chapter 13: Definitions and Analyses...…………………...…... 179 Chapter 14: Probability………………………………….………199 2 Chapter 1: Thinking Critically about the Logic of Arguments Logic and critical thinking together make up the systematic study of reasoning, and reasoning is what we do when we draw a conclusion on the basis of other claims. In other words, reasoning is used when you infer one claim on the basis of another. For example, if you see a great deal of snow falling from the sky outside your bedroom window one morning, you can reasonably conclude that it’s probably cold outside. Or, if you see a man smiling broadly, you can reasonably conclude that he is at least somewhat happy. -
Strindberg and Autobiography
Strindberg and Autobiography Michael Robinson ]u[ Norvik Press ubiquity press London Published by Ubiquity Press Ltd. Gordon House 29 Gordon Square London WC1H 0PP www.ubiquitypress.com and Norvik Press Department of Scandinavian Studies University College London Gower Street London WC1E 6BT www.norvikpress.com Text © Michael Robinson 1986 Original edition published by Norvik Press 1986 This edition published by Ubiquity Press Ltd 2013 Cover illustration: Wonderland (1894) by August Strindberg, Nationalmuseum, Stockholm. Via Wikimedia Commons. Source: Google Art Project. Available at: http:// commons.wikimedia.org/wiki/File%3AAugust_Strindberg_-_Wonderland_-_Google_ Art_Project.jpg Printed in the UK by Lightning Source ISBN (paperback): 978-1-909188-01-3 ISBN (EPUB): 978-1-909188-05-1 ISBN (PDF): 978-1-909188-09-9 DOI: http://dx.doi.org/10.5334/bab This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/3.0/ or send a letter to Creative Commons, 444 Castro Street, Suite 900, Mountain View, California, 94041, USA. This licence allows for copying any part of the work for personal and commercial use, providing author attribution is clearly stated. Suggested citation: Robinson, M 2013 Strindberg and Autobiography. Norvik Press/Ubiquity Press. DOI: http://dx.doi.org/10.5334/bab To read the online open access version of this book, either visit http://dx.doi.org/10.5334/bab or scan this QR code with your mobile device: Contents Preface i Chapter -
Rehabilitation of Younger Patients Post Stroke Evidence Tables
EBRSR [Evidence-Based Review of Stroke Rehabilitation] 21 Rehabilitation of Younger Patients Post Stroke Evidence Tables Andreea Cotoi MSc, Cristina Batey MD, Norhayati Hussein MBBS, Shannon Janzen MSc, Robert Teasell MD Last Updated: March 2018 Dr. Robert Teasell Parkwood Institute, 550 Wellington Road, London, Ontario, Canada, N6C 0A7 Phone: 519.685.4000 ● Web: www.ebrsr.com ● Email: [email protected] 21. Rehabilitation of Younger Patients Post Stroke pg. 1 of 93 www.ebrsr.com Table of Contents Table of Contents ...............................................................................................................................2 21.1 Incidence .................................................................................................................................3 21.2 Etiology ................................................................................................................................. 11 21.3 Risk Factors ............................................................................................................................ 28 21.4 Recovery and Prognosis .......................................................................................................... 35 21.5 Rehabilitation ........................................................................................................................ 61 21.6 Family Stress .......................................................................................................................... 63 21.7 Institutionalization ................................................................................................................ -
Power, Politics, and the Planetary Costs of Artificial Intelligence
This content downloaded from 128.111.121.42 on Thu, 01 Apr 2021 07:40:11 UTC All use subject to https://about.jstor.org/terms Atlas of AI This content downloaded from 128.111.121.42 on Thu, 01 Apr 2021 07:40:11 UTC All use subject to https://about.jstor.org/terms This page intentionally left blank This content downloaded from 128.111.121.42 on Thu, 01 Apr 2021 07:40:11 UTC All use subject to https://about.jstor.org/terms Atlas of AI Power, Politics, and the Planetary Costs of Artificial Intelligence KATE CRAWFORD New Haven and London This content downloaded from 128.111.121.42 on Thu, 01 Apr 2021 07:40:11 UTC All use subject to https://about.jstor.org/terms Copyright © 2021 by Kate Crawford. All rights reserved. This book may not be reproduced, in whole or in part, including illustrations, in any form (beyond that copying permitted by Sections 107 and 108 of the U.S. Copyright Law and except by reviewers for the public press), without written permission from the publishers. Yale University Press books may be purchased in quantity for educational, business, or promotional use. For information, please e- mail [email protected] (U.S. office) or [email protected] (U.K. office). Cover design and chapter opening illustrations by Vladan Joler. Set in Minion by Tseng Information Systems, Inc. Printed in the United States of America. Library of Congress Control Number: 2020947842 ISBN 978- 0- 300- 20957- 0 (hardcover : alk. paper) A catalogue record for this book is available from the British Library. -
Optimal Solitaire Game Solutions Using a Search and Deadlock
Optimal Solitaire Game Solutions using A∗ Search and Deadlock Analysis Gerald Paul Malte Helmert Boston University University of Basel Boston, Massachusetts, USA Basel, Switzerland [email protected] [email protected] Abstract Windows implementation of the game. Because the random- ization algorithm for Freecell deals is public (Horne 2015), We propose and implement an efficient method for determin- given a seed the random deals are reproducible, so compar- ing optimal solutions to such skill-based solitaire card games as Freecell and King Albert solitaire. We use A* search to- isons can be made with other work. While Freecell differs gether with an admissible heuristic function that is based on in detail from other skill solitaire games, such concepts as analyzing a directed graph whose cycles represent deadlock foundation cells to which cards must ultimately be moved, situations in the game state. To the best of our knowledge, and a tableau of columns of cards is common to many skill ours is the first algorithm that efficiently determines optimal solitaire games. Freecell has been shown to be NP-hard solutions for Freecell games. We believe that the underlying (Helmert 2003) and thus provides a demanding test of our ideas should be applicable not only to games but also to other approach. classical planning problems which manifest deadlocks. There are a number of Freecell computer solvers avail- able which provide solutions to any Freecell deal (Elyasaf, 1 Introduction Hauptman, and Sipper 2011; Fish 2015; Heineman 2015; Games have always been a fertile ground for advancements Keller 2015; PySolFC 2015). However, we know of no optimal in computer science, operations research and artificial in- work which provides provably solutions to solitaire telligence. -
Self-Directedness and Hemisphericity Over the Adult Life Span by Constance Christensen Blackwood a Thesis Submitted in Partial F
Self-directedness and hemisphericity over the adult life span by Constance Christensen Blackwood A thesis submitted in partial fulfillment of the requirements for the degree of Doctor of Education Montana State University © Copyright by Constance Christensen Blackwood (1988) Abstract: The purpose of the study was to add empirical evidence to the argument that adult learning theory has a definite and specific place on the general learning theory continuum. To do this the study sought to clarify the role of self-directedness as a personality construct in adult education. In addition, it sought to solidify the role of hemisphericity as an important concept of adult learning. The study used the Oddi Continuing Learning Inventory to measure self-directedness as a personality construct and the refined Wagner Preference Inventory to measure hemisphericity. To round out the test packet, a demographic questionnaire was included. There were 390 participants in the study. The study was designed to be a technical variation of Torrance and Mourad's correlational study (1978) using different instruments, a more diverse population and more comprehensive data analysis. The study found positive correlation between high degrees of self-directedness and left hemisphericity. It also found correlations between high scores in self-directedness and age, and left hemisphericity and age. It is concluded that this study supports the notion that adult learning theory should be considered separately from childhood learning theory. The results of this study conflict with the findings of Torrance and Mourad (1978) and it is recommended that replications of this study be conducted to verify the direction of the link between self-directedness and hemisphere dominance.