MIT - CS - 6.345

MIT - CS - 6.345

Zue. Speech Input/Output TechnologiesEighty Challenges Facing Speech Input/Output TechnologiesVictor Zue MIT Computer Science and Artificial Intelligence Laboratory Cambridge, MA, USA zue@csail.mit.eduABSTRACT During the past three decades, we have wit

MIT - CS - 6.345

Conversational Interfaces: Advances and ChallengesVICTOR W. ZUE AND JAMES R. GLASS, MEMBER, IEEE Invited PaperThe past decade has witnessed the emergence of a new breed of humancomputer interfaces that combines several human language technologies to ena

MIT - CS - 6.254

Reading List Topics and PapersLearning H.P. Young, "The Evolution of Conventions," Econometrica, vol. 61, pp. 5784,1993. M. Kandori, G.J. Mailath, and R. Rob, "Learning, mutation, and long run equilibria in games," Econometrica, vol. 61, no. 1, pp. 2956,

MIT - CS - 6.254

6:254 Game Theory with Engineering Applications Course InformationDescription Introduction to fundamentals of game theory and mechanism design with motivations drawn from engineered/networked systems (including distributed control of wireline and wireles

MIT - CS - 6.254

Tentative Syllabus1. Introduction to Game Theory (1 Lecture): Games and solutions. Game theory and mechanism design. Examples from networks. 2. Strategic Form Games (4-5 Lectures): Matrix and continuous games. Iterated strict dominance. Rationalizability

MIT - CS - 6.254

6.254: Game Theory with Engineering Applications Guest Lecture: Social Choice and Voting TheoryDaron Acemoglu MITMay 6, 20101Game Theory: Lecture 21IntroductionOutlineSocial choice and group decision-making Arrow' Impossibility Theorem s Gibbard-Sa

MIT - CS - 6.254

6.254 : Game Theory with Engineering Applications Lecture 1: IntroductionAsu Ozdaglar MITFebruary 2, 20101Game Theory: Lecture 1IntroductionOptimization Theory: Optimize a single objective over a decision variable x Rn . i ui ( x ) subject to x X Rn

MIT - CS - 6.254

6.254 : Game Theory with Engineering Applications Lecture 2: Strategic Form GamesAsu Ozdaglar MITFebruary 4, 20091Game Theory: Lecture 2IntroductionOutlineDecisions, utility maximization Strategic form games Best responses and dominant strategies D

MIT - CS - 6.254

6.254 : Game Theory with Engineering Applications Lecture 3: Strategic Form Games - Solution ConceptsAsu Ozdaglar MITFebruary 9, 20101Game Theory: Lecture 3IntroductionOutlineReview Examples of Pure Strategy Nash Equilibria Mixed Strategies and Mix

MIT - CS - 6.254

6.254 : Game Theory with Engineering Applications Lecture 4: Strategic Form Games - Solution ConceptsAsu Ozdaglar MITFebruary 11, 20101Game Theory: Lecture 4IntroductionOutlineReview Correlated Equilibrium Existence of a Mixed Strategy Equilibrium

MIT - CS - 6.254

6.254 : Game Theory with Engineering Applications Lecture 5: Existence of a Nash EquilibriumAsu Ozdaglar MITFebruary 18, 20101Game Theory: Lecture 5IntroductionOutlinePricing-Congestion Game Example Existence of a Mixed Strategy Nash Equilibrium in

MIT - CS - 6.254

6.254 : Game Theory with Engineering Applications Lecture 6: Continuous and Discontinuous GamesAsu Ozdaglar MITFebruary 23, 20101Game Theory: Lecture 6IntroductionOutlineContinuous Games Existence of a Mixed Nash Equilibrium in Continuous Games (Gl

MIT - CS - 6.254

6.254 : Game Theory with Engineering Applications Lecture 7: Supermodular GamesAsu Ozdaglar MITFebruary 25, 20101Game Theory: Lecture 7IntroductionOutlineUniqueness of a Pure Nash Equilibrium for Continuous Games Supermodular Games Reading:Rosen J

MIT - CS - 6.254

6.254 : Game Theory with Engineering Applications Lecture 8: Supermodular and Potential GamesAsu Ozdaglar MITMarch 2, 20101Game Theory: Lecture 8IntroductionOutlineReview of Supermodular Games Potential Games Reading:Fudenberg and Tirole, Section

MIT - CS - 6.254

6.254 : Game Theory with Engineering Applications Lecture 9: Computation of NE in finite gamesAsu Ozdaglar MITMarch 4, 20101Game Theory: Lecture 9IntroductionIntroductionIn this lecture, we study various approaches for the computation of mixed Nash

MIT - CS - 6.254

6.254 : Game Theory with Engineering Applications Lecture 10: Evolution and Learning in GamesAsu Ozdaglar MITMarch 9, 20101Game Theory: Lecture 10IntroductionOutlineMyopic and Rule of Thumb Behavior Evolution Evolutionarily Stable Strategies Replic

MIT - CS - 6.254

6.254 : Game Theory with Engineering Applications Lecture 11: Learning in GamesAsu Ozdaglar MITMarch 11, 20101Game Theory: Lecture 11IntroductionOutlineLearning in Games Fictitious Play Convergence of Fictitious PlayReading: Fudenberg and Levine,

MIT - CS - 6.254

6.254 : Game Theory with Engineering Applications Lecture 12: Extensive Form GamesAsu Ozdaglar MITMarch 16, 20101Game Theory: Lecture 12IntroductionOutlineExtensive Form Games with Perfect Information Backward Induction and Subgame Perfect Nash Equ

MIT - CS - 6.254

6.254 : Game Theory with Engineering Applications Lecture 13: Extensive Form GamesAsu Ozdaglar MITMarch 18, 20101Game Theory: Lecture 13IntroductionOutlineExtensive Form Games with Perfect Information One-stage Deviation Principle Applications Ulti

MIT - CS - 6.254

6.254 : Game Theory with Engineering Applications Lecture 14: Nash Bargaining SolutionAsu Ozdaglar MITMarch 30, 20101Game Theory: Lecture 14IntroductionOutlineRubinstein Bargaining Model with Alternating Offers Nash Bargaining Solution Relation of

MIT - CS - 6.254

6.254 : Game Theory with Engineering Applications Lecture 15: Repeated GamesAsu Ozdaglar MITApril 1, 20101Game Theory: Lecture 15IntroductionOutlineRepeated Games (perfect monitoring)The problem of cooperation Finitely-repeated prisoner's dilemma

MIT - CS - 6.254

6.254 : Game Theory with Engineering Applications Lecture 16: Repeated Games IIAsu Ozdaglar MITApril 13, 20101Game Theory: Lecture 16IntroductionOutlineRepeated Games perfect monitoring Folk Theorems Repeated Games imperfect monitoringPrice-trigge

MIT - CS - 6.254

6.254 : Game Theory with Engineering Applications Lecture 17: Games with Incomplete Information: Bayesian Nash EquilibriaAsu Ozdaglar MITApril 15, 20101Game Theory: Lecture 17IntroductionOutlineIncomplete information. Bayes rule and Bayesian infere

MIT - CS - 6.254

6.254 : Game Theory with Engineering Applications Lecture 18: Games with Incomplete Information: Bayesian Nash Equilibria and Perfect Bayesian EquilibriaAsu Ozdaglar MITApril 22, 20101Game Theory: Lecture 18IntroductionOutlineBayesian Nash Equilibr

MIT - CS - 6.254

6.254 : Game Theory with Engineering Applications Lecture 19: Mechanism Design IAsu Ozdaglar MITApril 29, 20101Game Theory: Lecture 19IntroductionOutlineMechanism design Revelation principleIncentive compatibility Individual rationality"Optimal"

MIT - CS - 6.254

6.254 : Game Theory with Engineering Applications Lecture 20: Mechanism Design IIAsu Ozdaglar MITMay 4, 20101Game Theory: Lecture 20IntroductionOutlineMechanism design from social choice point of view Implementation in dominant strategies Revelatio

MIT - CS - 6.254

6.254: Game TheoryFebruary 11, 2010Lecture 4: Correlated RationalizabilityLecturer: Asu Ozdaglar1Correlated RationalizabilityIn this note, we allow a player to believe that the other players' actions are correlated- in other words, the other players

MIT - CS - 6.254

6.254: Game Theory with Engineering Applications February 23, 2010Lecture 6: Continuous and Discontinuous GamesLecturer: Asu Ozdaglar1IntroductionIn this lecture, we will focus on: Existence of a mixed strategy Nash equilibrium for continuous games (

MIT - CS - 6.254

6.972 Game Theory and Equilibrium AnalysisMidterm Exam April 6, 2004; 1-2:30 pmProblem 1. (40 points) For each one of the statements below, state whether it is true or false. If the answer is true, explain why. If the answer is false, give a counterexam

MIT - CS - 6.254

6.254 Game Theory with Engineering ApplicationsMidterm April 11, 2006Problem 1 : (35 points) Consider a Bertrand competition between two firms, where each firm chooses a price pi [0, 1]. Assume that one unit of demand is to be split between the two firm

MIT - CS - 6.254

6.254 Game Theory with Engineering ApplicationsMidterm April 8, 2008Problem 1 : (35 points) Consider a game with two players, where the pure strategy of each player is given by xi [0, 1]. Assume that the payoff function ui of player i is given by ui (x1

MIT - CS - 6.254

6.254: Game Theory with Engr AppProject DescriptionAs part of the requirements of the course, you need to complete a project on a topic of your choice, related to the class material. We encourage you to work in groups of 2-3 people. Please email Ermin i

MIT - CS - 6.254

6.254 Game Theory with Engr AppMidtermThursday, April 8, 2010Problem 1 (35 points) For each one of the statements below, state whether it is true or false. If the answer is true, explain why. If the answer is false, give a counterexample. Explanations

MIT - CS - 6.254

6.254 Game Theory with Engr AppMidterm SolutionsThursday, April 8, 2010Problem 1 (35 points) For each one of the statements below, state whether it is true or false. If the answer is true, explain why. If the answer is false, give a counterexample. Exp

North Shore - COMPUTER - 268546

Every program is formed by combining as many sequence, selection, and repetiton staement as appropriate for the algorithm the program implementsa procedure for solving a problem in terms of actions to execute and the order in which these action execute i

North Shore - COMPUTER S - 126259

Linda Chhay Database Theory and ApplicationsProject Description:The objective of this project is to go through the entire process required in order to make a reliable and useful database. We get to extract business rules from an example model scenario i

American Academy of Art - BUAD - 478

As an aspiring college student that are both passionate and supportive of healthy food movement, I was more than pleased to have the opportunity to help my local farmers markets to increase both their profitability and the well being of their farmers by u

LSU - BIOL 1202 - 1202

Summa ry of Animal PhylaPorifera (sponges) Lack t rue t issues Have chanocytes o Collar cells unique f lagellated cells that ingest bacteria and tiny food particlesCnidar ia (hydras, jellies, sea anemones, corals) Unique stinging structures (cnidae) E

LSU - BIOL 1202 - 1202

Quiz 12 Question 1 The function of the corpus luteum is to _. a. nourish and protect the egg cell b. produce prolactin in the milk sacs of the mammary glands c. produce progesterone and estrogen d. produce estrogen and disintegrate following ovulation Cor

LSU - BIOL 1202 - 1202

Quiz 11 Top of Form Question 1 In the alveoli and lung capillaries, carbon dioxide and oxygen are exchanged by means of _. a. diffusion b. osmosis c. active transport d. endocytosis e. pinocytosis Correct Question 2 The function of pulmonary circulation i

LSU - BIOL 1202 - 1202

Quiz 3Question 1 The more the sequences of amino acids in homologous proteins vary, the more recently the two species have diverged. Answer: True False CorrectQuestion 2 A taxon such as the class Reptilia, which does not include its relatives, the birds

LSU - BIOL 1202 - 1202

Quiz #2The first living organisms were most likely aerobic prokaryotes. Answer: True False Correct Marks for this submission: 1/1. Question 2 Some species of Anopheles mosquito live in brackish water, some in running fresh water, and others in stagnant w

LSU - BIOL 1202 - 1202

Quiz 1Question 1 Marks: 1/1 In evolutionary terms, the more closely related two different organisms are, the Choose one answer. a. more similar their habitats are. b. less similar their DNA sequences are. c. more recently they shared a common ancestor. d

UC Davis - PSC 001 - PSC 001

3306_W_Weiten_Ch04 1/4/06 8:16 AM Page 118C H A P T E R4Psychophysics: Basic Concepts and IssuesThresholds: Looking for Limits Weighing the Differences: The JND Signal-Detection Theory Perception Without Awareness Sensory AdaptationSensation and Perc

UC Davis - PSC 001 - PSC 001

3/31/2010PSC1 Spring 2010, Dr. Liat SayfanDefining Psychology Psychology today Historical roots Emergence of modern perspectivesThe scientific study of the behavior of individuals and their mental processesConclusions are based on evidence Evidence is

UC Davis - PSC 001 - PSC 001

4/6/2010The body communication networks The nervous system The endocrine systemNeuronsPSC1 Spring 2010, Dr. Liat Sayfan structure Neurons in action Neural communicationNeurotransmitters and drugsCentral nervous system (CNS) brain spinal cordSOMAT

UC Davis - PSC 001 - PSC 001

4/4/2010PSC1 Spring 2010, Dr. Liat SayfanCommon sense vs. science The scientific method Research designs Ethical considerationsWhat is common sense? Having a `guts' feeling/intuition about a phenomenonDoes distance make the heart grow fonder? Do oppo

UC Davis - PSC 001 - PSC 001

Recap The Nervous System Neural CommunicationNeurotransmitters and drugs The BrainPSC1 Spring 2010, Dr. Liat Sayfan Structure Divisions of the cerebral cortex Hemispheres communication PlasticityExamples of neurotransmitters Acetylcholine Monoamine

UC Davis - PSC 001 - PSC 001

4/14/2010What is learning? Classical conditioning Operant conditioning Observational learningPSC1 Spring 2010, Dr. Liat Sayfanlearning relatively permanent change in behavior due to experience with the same stimuliNon-associative Learning Habituatio

UC Davis - PSC 001 - PSC 001

4/21/2010Defining sensation and perception Measuring the sensory experiencePSC1 Spring 2010, Dr. Liat SayfanFeeling pain HearingSensation detect information from the environmentPerception select, organize, and interpret sensationsTransductionTran

UC Davis - PSC 001 - PSC 001

4/26/2010Lecture 7: Sensation & Perception IIMaking Sense of Our Visual WorldOutlineVision Attention processes Principles of perception Depth perception Bottom-up and Top-down processes Understanding perceptual illusionsPSC1 Spring 2010, Dr. Liat Say

UC Davis - PSC 001 - PSC 001

4/27/10What is memory?The persistence of learning over time through the storage and retrieval of information.MEMORY: ENCODING, STORAGE, AND RETRIEVALChapter 6What is memory?Ways of storing memoriesEncoding Storage RetrievalThe persistence of learn

UC Davis - PSC 001 - PSC 001

Today's Topic: IntelligenceIntroduction to Psychology PSC 1 Winter 2010Guest Lecturer: Christi BamfordWhat is intelligence? How do we measure intelligence? The extremes of intelligence Is intelligence inherited? The use & abuse of intelligence testsWh

UC Davis - PSC 001 - PSC 001

5/5/2010Lecture 10: Motivation & EmotionPSC1 Spring 2010, Dr. Liat SayfanLecture OutlineMotivationTheories: instinct, drive reduction, optimal arousal, incentive Maslow's hierarchy Hunger and eating behavior Achievement motivationEmotionWhat is Mot

UC Davis - PSC 001 - PSC 001

General Psychology PSC 1 Spring Quarter 2010 Course SyllabusInstructor: Dr. Liat Sayfan 268F Young Hall Office Hours: Mondays 12-2, or By Appointment lsayfan@ucdavis.edu TA1: Emily Newton 284A Young Hall Office Hours: Wednesdays 12-2 or By Appointment ek

UC Davis - PSC 001 - PSC 001

Introduction to PsychologyReview Session: Exam 2 TA-Michael BiehlEXAM REVIEW!BRING SCANTRON UCD 2000 (Blue) 50 questions Multiple Choice Check your answers before turning in exam Bubble in an option for every question You may write on your exams Write

UC Davis - PSC 001 - PSC 001

Exam 1 Review Sheet PSC 1 Spring 2010 Material from the textbook not covered in lecture is italicized. Lecture 1: What is Psychology? (Ch. 1) What is psychology? Subfields o Practice (clinical, counseling, industrial/organizational, educational/school) Di

UC Davis - PSC 001 - PSC 001

06/05/2010 01:25:00 space Somatosensory the somatosensory cortex in the brain's parietal lobe. Some Senses: vision, taste, smell, hearing, Vestibular responds to gravity and keeps you informed of your body's location in Stimulus (raw energy) light, sound

UC Davis - ARE 136 - ARE 136

Name:_Managerial Economics (ARE) 136 University of California, Davis, Spring 2009 Dr. John H. Constantine KEY-Quiz 1 (125 points), Wednesday April 8, 2009 Multiple Choice Questions-(60 points; 10 points each.) 1) Brand personality means that: a) brands a

UC Davis - ARE 136 - ARE 136

1Managerial Economics (ARE) 136 University of California, Davis, Spring 2010 Dr. John H. Constantine KEY-Quiz 2 (125 points), Wednesday April 15, 2010 Multiple Choice Questions-(60 points; 10 points each.) 1) Social classes are: a) frequently distinguish