1 Excerpts from Douglas Hofstadter's Metamagical Themas (A Collection
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Game Theory- Prisoners Dilemma Vs Battle of the Sexes EXCERPTS
Lesson 14. Game Theory 1 Lesson 14 Game Theory c 2010, 2011 ⃝ Roberto Serrano and Allan M. Feldman All rights reserved Version C 1. Introduction In the last lesson we discussed duopoly markets in which two firms compete to sell a product. In such markets, the firms behave strategically; each firm must think about what the other firm is doing in order to decide what it should do itself. The theory of duopoly was originally developed in the 19th century, but it led to the theory of games in the 20th century. The first major book in game theory, published in 1944, was Theory of Games and Economic Behavior,byJohnvon Neumann (1903-1957) and Oskar Morgenstern (1902-1977). We will return to the contributions of Von Neumann and Morgenstern in Lesson 19, on uncertainty and expected utility. Agroupofpeople(orteams,firms,armies,countries)areinagame if their decision problems are interdependent, in the sense that the actions that all of them take influence the outcomes for everyone. Game theory is the study of games; it can also be called interactive decision theory. Many real-life interactions can be viewed as games. Obviously football, soccer, and baseball games are games.Butsoaretheinteractionsofduopolists,thepoliticalcampaignsbetweenparties before an election, and the interactions of armed forces and countries. Even some interactions between animal or plant species in nature can be modeled as games. In fact, game theory has been used in many different fields in recent decades, including economics, political science, psychology, sociology, computer science, and biology. This brief lesson is not meant to replace a formal course in game theory; it is only an in- troduction. -
Technology & Computer Science
The Latticework: Technology & Computer Science The Latticework: Technology & Computer Science 1 The Latticework: Technology & Computer Science What I noted since the really big ideas carry 95% of the freight, it wasn’t at all hard for me to pick up all the big ideas from all the big disciplines and make them a standard part of my mental routines. Once you have the ideas, of course, they are no good if you don’t practice – if you don’t practice you lose it. So, I went through life constantly practicing this model of the multidisciplinary approach. Well, I can’t tell you what that’s done for me. It’s made life more fun, it’s made me more constructive, it’s made me more helpful to others, it’s made me enormously rich, you name it, that attitude really helps… …It doesn’t help you just to know them enough just so you can give them back on an exam and get an A. You have to learn these things in such a way that they’re in a mental latticework in your head and you automatically use them for the rest of your life. – Charlie Munger, 2007 USC Gould School of Law Commencement Speech 2 The Latticework: Technology & Computer Science Technology & Computer Science Technology has been the overriding tidal wave in the last several centuries (maybe millennia, if tools like plows and horse bridles are considered) and understanding the fundamentals in this field can be helpful in seeing the patterns behind these innovations, how they were arrived at, and their potential impacts. -
Prisoners of Reason Game Theory and Neoliberal Political Economy
C:/ITOOLS/WMS/CUP-NEW/6549131/WORKINGFOLDER/AMADAE/9781107064034PRE.3D iii [1–28] 11.8.2015 9:57PM Prisoners of Reason Game Theory and Neoliberal Political Economy S. M. AMADAE Massachusetts Institute of Technology C:/ITOOLS/WMS/CUP-NEW/6549131/WORKINGFOLDER/AMADAE/9781107064034PRE.3D iv [1–28] 11.8.2015 9:57PM 32 Avenue of the Americas, New York, ny 10013-2473, usa Cambridge University Press is part of the University of Cambridge. It furthers the University’s mission by disseminating knowledge in the pursuit of education, learning, and research at the highest international levels of excellence. www.cambridge.org Information on this title: www.cambridge.org/9781107671195 © S. M. Amadae 2015 This publication is in copyright. Subject to statutory exception and to the provisions of relevant collective licensing agreements, no reproduction of any part may take place without the written permission of Cambridge University Press. First published 2015 Printed in the United States of America A catalog record for this publication is available from the British Library. Library of Congress Cataloging in Publication Data Amadae, S. M., author. Prisoners of reason : game theory and neoliberal political economy / S.M. Amadae. pages cm Includes bibliographical references and index. isbn 978-1-107-06403-4 (hbk. : alk. paper) – isbn 978-1-107-67119-5 (pbk. : alk. paper) 1. Game theory – Political aspects. 2. International relations. 3. Neoliberalism. 4. Social choice – Political aspects. 5. Political science – Philosophy. I. Title. hb144.a43 2015 320.01′5193 – dc23 2015020954 isbn 978-1-107-06403-4 Hardback isbn 978-1-107-67119-5 Paperback Cambridge University Press has no responsibility for the persistence or accuracy of URLs for external or third-party Internet Web sites referred to in this publication and does not guarantee that any content on such Web sites is, or will remain, accurate or appropriate. -
Generation Based Analysis Model for Non-Cooperative Games
Generation Based Analysis Model for Non-Cooperative Games Soham Banerjee Department of Computer Engineering International Institute of Information Technology Pune, India Email: [email protected] Abstract—In most real-world games, participating agents are to its optimal solution which forms a good base for comparison all perfectly rational and choose the most optimal set of actions for the model’s performance. possible; but that is not always the case while dealing with complex games. This paper proposes a model for analysing II. PROPOSED MODEL the possible set of moves and their outcome; where not all participating agents are perfectly rational. The model proposed is The proposed model works within the framework of pre- used on three games, Prisoners’ Dilemma, Platonia Dilemma and determined assumptions; but may be altered or expanded to Guess 2 of the Average. All the three games have fundamental 3 other games as well. differences in their action space and outcome payoffs, making them good examples for analysis with the proposed model. • All agents have infinite memory - this means that an agent Index Terms—game theory, analysis model, deterministic remembers all previous iterations of the game along with games, superrationality, prisoners’ dilemma, platonia dilemma the observation as well as the result. • All the games have a well-defined pure strategy Nash Equilibrium. I. INTRODUCTION • The number of participating agents is always known. • All the games are non co-operative - this indicates that the While selecting appropriate actions to perform in a game, agents will only form an alliance if it is self-enforcing. a common assumption made is that, all other participating agents (co-operative or not) will make the most optimal move Each participating agent is said to posses a Generation of possible. -
Repeated Games
REPEATED GAMES 1 Early PD experiments In 1950, Merrill Flood and Melvin Dresher (at RAND) devised an experiment to test Nash’s theory about defection in a two-person prisoners’ dilemma. Experimental Design – They asked two friends to play the PD 100 times. – They measured the success of Nash’s equilibrium concept by counting the number of times the players chose {D;D}. 2 Flood and Dresher’s results Player 1 cooperated in 68 rounds Player 2 cooperated in 78 rounds Both cooperated in 60 of last 89 rounds Flood Dresher Nash 3 Flood and Dresher’s results Player 1 cooperated in 68 rounds Player 2 cooperated in 78 rounds Both cooperated in 60 of last 89 rounds Wait a Ha! That jerk I can’tI’mOh a be Ha! Nash second... Nash was genius...%&@#!wrong! was wrong! wrong! Flood Dresher Nash 4 Nash’s response “If this experiment were conducted with various different players rotating the competition and with no information given to a player of what choices the others have been making until the end of all trials, then the experimental results would have been quite different, for this modification of procedure would remove the interaction between the trials.” 5 Nash’s response “The flaw in this experiment as a test of equilibrium point theory is that the experiment really amounts to having the players play one large multimove game. One cannot...think of the thing as a sequence of independent games...there is too much interaction.” In other words, Nash said that repeating the game changes the game itself. -
Villager's Dilemma
Villager's dilemma Beihang He Advertisement 0702,Department of Arts and Communication, Zhejiang University City College No.51 Huzhou Street Hangzhou Zhejiang, 310015 Tel: 13906539819 E-mail: [email protected] 1 Abstract:With deeper study of the Game Theory, some conditions of Prisoner’s Dilemma is no longer suitable of games in real life. So we try to develop a new model-Villager’s Dilemma which has more realistic conditions to stimulate the process of game. It is emphasize that Prisoner’s Dilemma is an exception which is lack of universality and the importance of rules in the game. And it puts forward that to let the rule maker take part in the game and specifies game players can stop the game as they like. This essay describes the basic model, the villager’s dilemma (VD) and put some extended use of it, and points out the importance of rules and the effect it has on the result of the game. It briefly describes the disadvantage of Prisoner’s Dilemma and advantage Villager’s Dilemma has. It summarizes the premise and scope of application of Villager’s Dilemma, and provides theory foundation for making rules for game and forecast of the future of the game. 2 1. Basic Model In the basic model, the villager’s dilemma (VD) is presented as follows: Three villagers who have the same physical strength and a robber who has two and a half times physical strength as three villagers are living in the same village. In other words, three villagers has to act together to defeat the robber who is stronger than anyone of them. -
Reading List
EECS 101 Introduction to Computer Science Dinda, Spring, 2009 An Introduction to Computer Science For Everyone Reading List Note: You do not need to read or buy all of these. The syllabus and/or class web page describes the required readings and what books to buy. For readings that are not in the required books, I will either provide pointers to web documents or hand out copies in class. Books David Harel, Computers Ltd: What They Really Can’t Do, Oxford University Press, 2003. Fred Brooks, The Mythical Man-month: Essays on Software Engineering, 20th Anniversary Edition, Addison-Wesley, 1995. Joel Spolsky, Joel on Software: And on Diverse and Occasionally Related Matters That Will Prove of Interest to Software Developers, Designers, and Managers, and to Those Who, Whether by Good Fortune or Ill Luck, Work with Them in Some Capacity, APress, 2004. Most content is available for free from Spolsky’s Blog (see http://www.joelonsoftware.com) Paul Graham, Hackers and Painters, O’Reilly, 2004. See also Graham’s site: http://www.paulgraham.com/ Martin Davis, The Universal Computer: The Road from Leibniz to Turing, W.W. Norton and Company, 2000. Ted Nelson, Computer Lib/Dream Machines, 1974. This book is now very rare and very expensive, which is sad given how visionary it was. Simon Singh, The Code Book: The Science of Secrecy from Ancient Egypt to Quantum Cryptography, Anchor, 2000. Douglas Hofstadter, Goedel, Escher, Bach: The Eternal Golden Braid, 20th Anniversary Edition, Basic Books, 1999. Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach, 2nd Edition, Prentice Hall, 2003. -
Review of Le Ton Beau De Marot
Journal of Translation, Volume 4, Number 1 (2008) 7 Book Review Le Ton Beau de Marot: In Praise of the Music of Language. By Douglas R. Hofstadter New York: Basic Books, 1997. Pp. 632. Paper $29.95. ISBN 0465086454. Reviewed by Milton Watt SIM International Introduction Busy translators may not have much time to read in the area of literary translation, but there are some valuable books in that field that can help us in the task of Bible translation. One such book is Le Ton Beau de Marot by Douglas Hofstadter. This book will allow you to look at translation from a fresh perspective by way of various models, using terms or categories you may not have thought of, or realized. Some specific translation techniques will challenge you to think through how you translate, such as intentionally creating a non-natural sounding text at times to give it the flavor of the original text. This book is particularly pertinent for those who are translating poetry and wrestling with the occasional tension between form and meaning. The author of Le Ton Beau de Marot, Douglas Hofstadter, is most known for his 1979 Pulitzer prize- winning book Gödel, Escher, Bach: An Eternal Golden Braid (1979) that propelled him to legendary status in the mathematical/computer intellectual community. Hofstadter is a professor of Cognitive Science and Computer Science at Indiana University in Bloomington and is the director of the Center for Research on Concepts and Cognition, where he studies the mechanisms of analogy and creativity. Hofstadter was drawn to write Le Ton Beau de Marot because of his knowledge of many languages, his fascination with the complexities of translation, and his experiences of having had his book Gödel, Escher, Bach translated. -
A Reading List for Undergraduate Mathematics Majors: a Personal View Paul Froeschl University of Minnesota, Twin Cities
Humanistic Mathematics Network Journal Issue 8 Article 12 7-1-1993 A Reading List for Undergraduate Mathematics Majors: A Personal View Paul Froeschl University of Minnesota, Twin Cities Follow this and additional works at: http://scholarship.claremont.edu/hmnj Part of the Mathematics Commons Recommended Citation Froeschl, Paul (1993) "A Reading List for Undergraduate Mathematics Majors: A Personal View," Humanistic Mathematics Network Journal: Iss. 8, Article 12. Available at: http://scholarship.claremont.edu/hmnj/vol1/iss8/12 This Article is brought to you for free and open access by the Journals at Claremont at Scholarship @ Claremont. It has been accepted for inclusion in Humanistic Mathematics Network Journal by an authorized administrator of Scholarship @ Claremont. For more information, please contact [email protected]. A Reading List for Undergraduate Mathematics Majors A Personal View PaulFroeschJ University ofMinnesota Minneapolis, MN This has been a reflective year. Early in 4. Science and Hypothesis, Henri Poincare. September I realized that Jwas starting my twenty- fifth year of college teaching. Those days and 5. A Mathematician 's Apol0D'.GR. Hardy. years of teaching were ever present in my mind One day in class I mentioned a book (I forget 6. HistOO' of Mathematics. Carl Boyer. which one now) that I thought my students There are perhaps more thorough histories, (mathematics majors) should read before but for ease of reference and early graduating. One of them asked for a list of such accessibility for nascent mathematics books-awonderfully reflective idea! majors this histoty is best, One list was impossible, but three lists 7. HistorY of Calculus, Carl Boyer. -
Eszter Babarczy: Community Based Trust on the Internet
PTE BTK Nyelvtudományi Doktori Iskola Kommunikáció Doktori Program Babarczy Eszter: Community Based Trust on the Internet Doktori értekezés Témavezető: Horányi Özséb egyetemi tanár 2011. 1 Community-based trust on the internet Tartalom Introduction .................................................................................................................................................. 3 II. A very brief history of the internet ........................................................................................................... 9 Early Days ............................................................................................................................................... 11 Mainstream internet .............................................................................................................................. 12 The internet of social software .............................................................................................................. 15 III Early trust related problems and solutions ............................................................................................ 20 Trading .................................................................................................................................................... 20 Risks of and trust in content ....................................................................................................................... 22 UGC and its discontents: Wikipedia ...................................................................................................... -
A Beautiful Math : John Nash, Game Theory, and the Modern Quest for a Code of Nature / Tom Siegfried
A BEAUTIFULA BEAUTIFUL MATH MATH JOHN NASH, GAME THEORY, AND THE MODERN QUEST FOR A CODE OF NATURE TOM SIEGFRIED JOSEPH HENRY PRESS Washington, D.C. Joseph Henry Press • 500 Fifth Street, NW • Washington, DC 20001 The Joseph Henry Press, an imprint of the National Academies Press, was created with the goal of making books on science, technology, and health more widely available to professionals and the public. Joseph Henry was one of the founders of the National Academy of Sciences and a leader in early Ameri- can science. Any opinions, findings, conclusions, or recommendations expressed in this volume are those of the author and do not necessarily reflect the views of the National Academy of Sciences or its affiliated institutions. Library of Congress Cataloging-in-Publication Data Siegfried, Tom, 1950- A beautiful math : John Nash, game theory, and the modern quest for a code of nature / Tom Siegfried. — 1st ed. p. cm. Includes bibliographical references and index. ISBN 0-309-10192-1 (hardback) — ISBN 0-309-65928-0 (pdfs) 1. Game theory. I. Title. QA269.S574 2006 519.3—dc22 2006012394 Copyright 2006 by Tom Siegfried. All rights reserved. Printed in the United States of America. Preface Shortly after 9/11, a Russian scientist named Dmitri Gusev pro- posed an explanation for the origin of the name Al Qaeda. He suggested that the terrorist organization took its name from Isaac Asimov’s famous 1950s science fiction novels known as the Foun- dation Trilogy. After all, he reasoned, the Arabic word “qaeda” means something like “base” or “foundation.” And the first novel in Asimov’s trilogy, Foundation, apparently was titled “al-Qaida” in an Arabic translation. -
Game Theory and Its Practical Applications
University of Northern Iowa UNI ScholarWorks Presidential Scholars Theses (1990 – 2006) Honors Program 1997 Game theory and its practical applications Angela M. Koos University of Northern Iowa Let us know how access to this document benefits ouy Copyright ©1997 Angela M. Koos Follow this and additional works at: https://scholarworks.uni.edu/pst Part of the Other Economics Commons Recommended Citation Koos, Angela M., "Game theory and its practical applications" (1997). Presidential Scholars Theses (1990 – 2006). 100. https://scholarworks.uni.edu/pst/100 This Open Access Presidential Scholars Thesis is brought to you for free and open access by the Honors Program at UNI ScholarWorks. It has been accepted for inclusion in Presidential Scholars Theses (1990 – 2006) by an authorized administrator of UNI ScholarWorks. For more information, please contact [email protected]. Game Theory and its Practical Applications A Presidential Scholar Senior Thesis University of Northern Iowa by Angela M. Koos Spring 1997 Dr. Ken Brown, 7 Dfrte Thesis and Major Advisor ,~-,, Dr. Ed Rathmell, Date Chair of Presidential Scholars Board Table of Contents Section Page(s) I. Historical Overview 1 I.A. Early Contributions to Game Theory 1 - 3 LB. John von Neumann, the RAND Corporation, and the Arms Race 3 - 7 LC. John Nash 7 - 8 I.D. Other Contributions to Game Theory 9 II. Defining Game Theory 9 - 12 II.A. Formal Representations of Games 12 - 13 II.A. I. Extensive Form 13 - 24 II.A.2. Normal Form 24 - 25 III. The Minimax Theorem 25 - 26 III.A. Preliminary Comments 26 - 27 III.B. The Theorem 27 - 28 IV.