This document summarizes key concepts around game theory and Nash equilibria. It discusses how Nash equilibria arise from players playing best responses to each other's strategies and having no incentive to unilaterally change. Examples shown include the Prisoner's Dilemma game and SUV price wars. The document also discusses how rationalizable strategies can form Nash equilibria and covers evolutionary game theory concepts like how populations can evolve to a mixed strategy equilibrium over time.
Applied Data Science for monetization: pitfalls, common misconceptions, and n...DevGAMM Conference
This talk guides us through modern twists on classic user-oriented data science tasks, such as churn prediction, clusterization, calculating user metrics, and others. We will discuss unusual angles for solving these tasks; how and why they can be used to improve player experience and monetization; the intuition behind these methods, and insights into inner machinery; and why conventional methods work poorly. Finally, I'll show you how you can apply this knowledge to improve your users' playing experience, and streamline analytics; and we'll talk general situation of applied data science and analytics in the industry.
Students should be able to:
Use simple game theory to illustrate the interdependence that exists in oligopolistic markets
Understanding the prisoners’ dilemma and a simple two firm/two outcome model. Students should analyse the advantages/disadvantages of being a first mover
Students will not be expected to have an understanding of the Nash Equilibrium
This is the first of an 8 lecture series that I presented at University of Strathclyde in 2011/2012 as part of the final year AI course.
This lecture introduces the concept of a game, and the branch of mathematics known as Game Theory.
Applied Data Science for monetization: pitfalls, common misconceptions, and n...DevGAMM Conference
This talk guides us through modern twists on classic user-oriented data science tasks, such as churn prediction, clusterization, calculating user metrics, and others. We will discuss unusual angles for solving these tasks; how and why they can be used to improve player experience and monetization; the intuition behind these methods, and insights into inner machinery; and why conventional methods work poorly. Finally, I'll show you how you can apply this knowledge to improve your users' playing experience, and streamline analytics; and we'll talk general situation of applied data science and analytics in the industry.
Students should be able to:
Use simple game theory to illustrate the interdependence that exists in oligopolistic markets
Understanding the prisoners’ dilemma and a simple two firm/two outcome model. Students should analyse the advantages/disadvantages of being a first mover
Students will not be expected to have an understanding of the Nash Equilibrium
This is the first of an 8 lecture series that I presented at University of Strathclyde in 2011/2012 as part of the final year AI course.
This lecture introduces the concept of a game, and the branch of mathematics known as Game Theory.
Game theory is a mathematical discipline that investigates the interaction of multiple, interest driven and rational parties. In other words: Most of our business and social interactions. In this talk we will define some basic game theory terms, talk about some of the more iconic games that have been developed by the discipline and see how they apply to most of our product strategy decisions. We’ll talk about Prisoner’s Dilemma, Rock Paper Scissors and the Game of Chicken – describe business scenarios where they’re applicable and come up with the best solutions, together!
Salespeople and customers are both biased. How can we use this to better satisfy the customer's needs while improving the profitability of our businesses? This presentation explains how.
Andrew Hingston
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Examination System is very useful for Teachers/Professors. As in the teaching profession, you are responsible for writing question papers. In the conventional method, you write the question paper on paper, keep question papers separate from answers and all this information you have to keep in a locker to avoid unauthorized access. Using the Examination System you can create a question paper and everything will be written to a single exam file in encrypted format. You can set the General and Administrator password to avoid unauthorized access to your question paper. Every time you start the examination, the program shuffles all the questions and selects them randomly from the database, which reduces the chances of memorizing the questions.
Game theory is a mathematical discipline that investigates the interaction of multiple, interest driven and rational parties. In other words: Most of our business and social interactions. In this talk we will define some basic game theory terms, talk about some of the more iconic games that have been developed by the discipline and see how they apply to most of our product strategy decisions. We’ll talk about Prisoner’s Dilemma, Rock Paper Scissors and the Game of Chicken – describe business scenarios where they’re applicable and come up with the best solutions, together!
Salespeople and customers are both biased. How can we use this to better satisfy the customer's needs while improving the profitability of our businesses? This presentation explains how.
Andrew Hingston
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Online aptitude test management system project report.pdfKamal Acharya
The purpose of on-line aptitude test system is to take online test in an efficient manner and no time wasting for checking the paper. The main objective of on-line aptitude test system is to efficiently evaluate the candidate thoroughly through a fully automated system that not only saves lot of time but also gives fast results. For students they give papers according to their convenience and time and there is no need of using extra thing like paper, pen etc. This can be used in educational institutions as well as in corporate world. Can be used anywhere any time as it is a web based application (user Location doesn’t matter). No restriction that examiner has to be present when the candidate takes the test.
Every time when lecturers/professors need to conduct examinations they have to sit down think about the questions and then create a whole new set of questions for each and every exam. In some cases the professor may want to give an open book online exam that is the student can take the exam any time anywhere, but the student might have to answer the questions in a limited time period. The professor may want to change the sequence of questions for every student. The problem that a student has is whenever a date for the exam is declared the student has to take it and there is no way he can take it at some other time. This project will create an interface for the examiner to create and store questions in a repository. It will also create an interface for the student to take examinations at his convenience and the questions and/or exams may be timed. Thereby creating an application which can be used by examiners and examinee’s simultaneously.
Examination System is very useful for Teachers/Professors. As in the teaching profession, you are responsible for writing question papers. In the conventional method, you write the question paper on paper, keep question papers separate from answers and all this information you have to keep in a locker to avoid unauthorized access. Using the Examination System you can create a question paper and everything will be written to a single exam file in encrypted format. You can set the General and Administrator password to avoid unauthorized access to your question paper. Every time you start the examination, the program shuffles all the questions and selects them randomly from the database, which reduces the chances of memorizing the questions.
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NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
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Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
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Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
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The aim of our project is to develop a system that is meant to partially computerize the work performed in the Water Board like generating monthly Water bill, record of consuming unit of water, store record of the customer and previous unpaid record.
We used HTML/PHP as front end and MYSQL as back end for developing our project. HTML is primarily a visual design environment. We can create a android application by designing the form and that make up the user interface. Adding android application code to the form and the objects such as buttons and text boxes on them and adding any required support code in additional modular.
MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software. It is a stable ,reliable and the powerful solution with the advanced features and advantages which are as follows: Data Security.MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software.
Water billing management system project report.pdf
lec3.pdf
1. 1
Lecture 3 Game Plan
„ Nash equilibrium
„ … in pure strategies & mixed strategies
„ … how NE play arises from rationality
„ … how NE play can arise from evolution
2. 2
Nash Equilibrium
„ Nash Equilibrium:
• A set of strategies, one for each player, such that
each player’s strategy is a best response to others’
strategies
„ Best Response:
• The strategy that maximizes my payoff given others’
strategies.
„ Everybody is playing a best response
• No incentive to unilaterally change my strategy
Slide courtesy of Mike Shor, Vanderbilt University.
5. 5
Example: SUV Price Wars
“General Motors Corp. and Ford Motor Co.
slapped larger incentives on popular sport-
utility vehicles, escalating a discounting
war in the light-truck category … Ford
added a $500 rebate on SUVs, boosting cash
discounts to $2,500. The Dearborn, Mich.,
auto maker followed GM, which earlier in the
week began offering $2,500 rebates on
many of its SUVs.”
-- Wall Street Journal, January 31, 2003
7. 7
SUV Price Wars: Outcome
„ Each firm has a unilateral incentive
to discount but neither achieves a
pricing advantage.
GM
Discount Don’t
Discount
Ford
Don’t
8. 8
“Red Queen Effect”
“It takes all the running you can do to keep in the same
place” – Red Queen to Alice
From Carroll, Lewis. Alice’s Adventures in Wonderland.
9. 9
Prisoners’ Dilemma
SUV Price War is a “prisoners’
dilemma” game:
1. Both firms prefer to Discount regardless
of what other does. (Discount is a
dominant strategy.)
2. BUT both firms are worse off when they
both Discount than if they both Don’t.
10. 10
Prisoners’ Dilemma Game
Prisoner 2
Don’t
Confess
Confess
Prisoner 1
Don’t
„ Key features:
• Both players have a dominant strategy to Confess
• BUT both players better off if they both Don’t
13. 13
Evolution in Prisoners’
Dilemma (One Population)
Prob. of Confess in population
100%
25%
0%
„ Row and Col players are drawn from the
same population
„ Those who Confess get higher payoff, so
Confess dominates the population
15. 15
Soft & Chewy Cookies
A cookie store is a bad idea.
Besides, the market research
reports say America likes
crispy cookies, not soft and
chewy cookies like yours.
-Response to Debbi Fields' idea of
starting Mrs. Fields' Cookies, 1977
16. 16
Soft & Chewy Cookies
„ Supermarket cookies tend to be
crispy, not chewy
„ Duncan Hines (owned by P&G)
entered with a chewy cookie [1984]
„ How did Nabisco and Keebler
respond?
17. 17
Soft & Chewy Wars
„ Nabisco and Keebler rolled out their
own soft and chewy varieties:
„ Keebler Soft Batch
„ Nabisco Chips Ahoy! Chewy
18. 18
Soft & Chewy Settlement
„ Duncan Hines brings patent-
infringement suit alleging industrial
espionage by Keebler, Nabisco and
Frito-Lay [1984]
„ Companies agree to pay P&G $125
million, then the most ever reported
to settle a patent lawsuit [1989]
19. 19
Soft & Chewy Retreat
„ P&G sells Duncan Hines to Aurora [1997]
“This agreement is a win-win. Consumers
will still be able to buy great Duncan
Hines products, now through Aurora
Foods, and we can focus on the strategic
opportunities we've established for our
food and beverage business.”
-Steve Donovan, P&G VP, food and beverages.
Source: Larkin, Patrick. “Duncan Hines Sold: Columbus Firm Buys P&G Brand.” The
Cincinnati Post. 8 December 1997,
http://www.cincypost.com/business/1997/pg120897.html (accessed July 14, 2004).
20. 20
Defensive Innovation
„ A monopolist’s incentive to innovate
increases as it faces innovative entrants.
„ Consider case of product variety
• consumers represented as points in a square
• they buy whichever product is closest
represents
consumers who buy
from monopolist
represents a
product of monopolist
21. 21
Product Variety Game
„ Without any entry, the monopolist doesn’t
gain from introducing a new product
• To keep things simple, we suppose price is fixed
represents
consumers who buy
from monopolist
represents a
product of monopolist
22. 22
Product Variety Game
„ Now suppose an entrant comes in with a new
variety. Now “landing on the entrant” keeps
some customers
• Incentive to introduce new variety if entry
• Will the other firm enter anyway?
represents
consumers who buy
from entrant
represents a
product of entrant
24. 24
Case I: Entrant Wants to
Innovate Anyway
Monopolist
Innovate Don’t
Innovate
Entrant
Don’t
25. 25
What Can Conceivably Happen?
1. … if both Monopolist and Entrant are
rational (only)
„ (Innovate, Innovate) or (Innovate, Don’t)
• latter requires monopolist to mistakenly believe
that entrant will not innovate
2. … if rationality is common knowledge?
„ (Innovate, Innovate) only since monopolist
knows entrant is rational!
26. 26
Loyal Servant Game*
Servant
Safe Route Dangerous
*Not discussed in textbook
Master
Dangerous
„ Key features:
• One player (Master) has dominant strategy
• Other player (Servant) wants to do the same
thing as Master
Safe Route
28. 28
Reaction Curves in
Loyal Servant Game
Servant’s
prob. of
Safe
100%
0%
50%
0% 50% 100%
Master’s prob. of Safe
29. 29
Evolution in Loyal Servant
Game (Two Populations)
Master’s prob. of Safe
Servant’s
prob. of
Safe
100%
100%
0%
0%
50%
50%
Evolution
leads to
Nash eqm
(Safe, Safe)
30. 30
Rationalizable Strategies
„ Strategies are “rationalizable” if they
could conceivably be played when
„ Suppose each player has a unique
rationalizable strategy. Then these
strategies form a Nash equilibrium.
1. players are rational and
2. rationality is common knowledge
31. 31
How to Find Rationalizable
Strategies
„ If a strategy is strictly dominated for
some player, eliminate it
„ Repeat, eliminating any strictly
dominated strategies in reduced game
„ All strategies that remain when you are
finished are rationalizable
32. 32
Example: Tourists & Natives
„ Two bars (bar 1, bar 2) compete
„ Can charge price of $2, $4, or $5
„ 6000 tourists pick a bar randomly
„ 4000 natives select the lowest price bar
„ Example 1: Both charge $2
„ each gets 5,000 customers
„ Example 2: Bar 1 charges $4,
Bar 2 charges $5
„ Bar 1 gets 3000+4000=7,000 customers
„ Bar 2 gets 3000 customers
Slide courtesy of Mike Shor, Vanderbilt University.
33. 33
Tourists & Natives
in thousands of dollars
$2 $4 $5
14 , 15
28 , 15
25 , 25
$2 10 , 10 14 , 12
$4 12 , 14 20 , 20
$5 15 , 14 15 , 28
Bar 1
Bar 2
Slide courtesy of Mike Shor, Vanderbilt University.
39. 39
Bluffing in Poker: Set-Up
Player A’s
hand prior
to getting
5th card
3♣ 4♣ 5♣ 6♣
„ Player A will be drawing on an inside
straight flush
„ Player A will have the best hand if:
• flush (another club: 9 cards total) or
• straight (any 2 or 7: additional 6 cards)
41. 41
Bluffing Game: Rules
„ Each player has put $100 into the pot
„ After receiving the fifth card, player A will
either Raise $100 or Not
„ If Raise, Player B then either Calls (adds
$100 more) or Folds (automatically
losing $100 already in pot)
„ Player A wins the pot if either A gets
winning card or B folds
43. 43
Play Bluffing Game!
„ Pair up with a neighbor.
„ Player A will be given a playing card
„ After that, communication allowed
„ Players A,B may say (or show)
anything they want to each other
45. 45
Hunter and Hunted Game*
Hunted
Right
Left
(0,0)
(0,2)
(-2,0)
(2,-2)
Left
Hunter
Right
„ Key features:
• Hunter wants to “catch”; Hunted wants to “avoid”
*Called “Attack & Defend” game in textbook
46. 46
Reaction Curves in
Hunter and Hunted Game
Hunted’s
prob. of
Right
100%
0%
50%
0% 50% 100%
Hunter’s prob. of Right
47. 47
Evolution in Hunter and
Hunted Game
100%
Hunter’s prob. of Right
Hunted’s
prob. of
Right
100%
0%
0%
50%
50%
Evolving populations
may cycle around or
fall into the mixed
strategy equilibrium,
depending on details
49. 49
Summary
„ Recognize dominant strategies
„ Prisoners’ Dilemma
„ Take others’ (ir)rationality into account
„ Loyal Servant Game
„ Mixing can be the right way to play
„ Hunter and Hunted Game
„ Next time: more on evolution and
introducing sequential moves
50. 50
Online Game #3
(Entrant Game)
„ Play Online Game #3 prior to
midnight before next lecture.
„ Note: We are not playing the games
in their numerical order!!