Monopoly Agent Strategy Simulation Nicholas Loffredo.

Slides:



Advertisements
Similar presentations
My Green Light BY Kevin Williams. Win a State Baseball Title Insert Kevin
Advertisements

This lesson will be looking... Finance in more depth What is profit and loss? What program would we use to create one? Why would we use one?
If we daydream in the English lessons, what will happen? If we daydream in the English lessons, we will fail our tests. Fail my test.
Sorting Really Big Files Sorting Part 3. Using K Temporary Files Given  N records in file F  M records will fit into internal memory  Use K temp files,
Test practice Multiplication. Multiplication 9x2.
What can you expect during the foreclosure process? Jeff Spindler & Omar Ruiz Pre-foreclosure Specialists Jeff Spindler & Omar Ruiz Pre-foreclosure Specialists.
IoP HEPP 2004 Birmingham, 7/4/04 David Cameron, University of Glasgow 1 Simulation of Replica Optimisation Strategies for Data.
Press the Back button on your browser to exit at any time. Click through this presentation using your mouse or the Page Down button.
1 Regret-based Incremental Partial Revelation Mechanism Design Nathanaël Hyafil, Craig Boutilier AAAI 2006 Department of Computer Science University of.
Using Multiple Forms! Creating a Splash Screen. Uses of Multiple Forms Includes: Dialog Boxes (appear often in Windows Programs) Splash Screen (a window.
Satisfaction Equilibrium Stéphane Ross. Canadian AI / 21 Problem In real life multiagent systems :  Agents generally do not know the preferences.
Housing MortgageVocab Advantages True or False.
MATH CLASH Integer Addition Game 1. Player Rules Players must be paired with another person Cards must be evenly divided at the start of the round Players.
An agent-mediated B2B marketplace University of Wollongong CSCI321 project Final Presentation Auction explanation.
Windows Dr. Basel Mahafzah. Network Neighborhood Double-clicking on this icon opens the Network Neighborhood window, which displays icons representing.
Chapter 4. Numerical Interpretation of Eigenvalues In terms of matrix arithmetic eigenvalues turn matrix multiplication into scalar multiplication. Numerically.
Optimizing Online Auction Bidding Strategies with Genetic Programming Ekaterina “Kate” Smorodkina.
Operating Systems Simulator Jessica Craddock Kelvin Whyms CPSC 410.
TRADING AGENT Developers: Vadim Ratner Dan Baum Supervisor: Ishay Menache.
My First PPT Game. MULTIPLE CHOICE QUIZ CLICK ON THE CORRECT ANSWER  Are you going to play tennis?  A) Yes, i am. A) Yes, i am.  B) Yes, you are. B)
11 Games and Content Session 4.1. Session Overview  Show how games are made up of program code and content  Find out about the content management system.
Welcome to (Insert Course info) Use Your Required Materials and Own Your Grade.
CS 0004 –Lecture 8 Jan 24, 2011 Roxana Gheorghiu.
Your Name Your Title. Your name: Your Accomplishments
Client Services Portfolio. * Searching for advertised properties? * Looking for properties with “ For Sale ” signs? * Talking to several agents? What.
Understand local search through visualization and animation A way for debugging and tuning local search The behavior of local search algorithms for solving.
Intro to C++. Getting Started with Microsoft Visual Studios Open Microsoft Visual Studios 2010 Click on file Click on New Project Choose Visual C++ on.
Module 3: Configuring Hardware on a Computer Running Windows XP Professional.
An Online Auction Framework for Dynamic Resource Provisioning in Cloud Computing Weijie Shi*, Linquan Zhang +, Chuan Wu*, Zongpeng Li +, Francis C.M. Lau*
Understanding Perfmon The Performance Testing Tool >>>>>>>>>>>>>>>>>>>>>>
computer
By: Amir Ronen, Department of CS Stanford University Presented By: Oren Mizrahi Matan Protter Issues on border of economics & computation, 2002.
Card Game Joe Goodrich Pat Large Sean Lourette Joe Sofia.
19 October 2015All rights reserved, Edward Tsang & Serafin Martinez jaramillo CHASM Co-evolutionary Heterogeneous Artificial Stock Markets Serafín Martínez.
CENTURY 21 ACCOUNTING © 2009 South-Western, Cengage Learning LESSON 18-1 Buying Plant Assets and Paying Property Tax.
Chapter 32 Real Estate. Home Ownership Types of Homes.
Electrical and Computer Engineering Klaus Kristo Clem Leung Adam Frieden Chris Davidson Faculty: Professor Ramgopal Mettu Project: iPlanAhead Final Project.
BUYING AND SELLING A HOME NAME TEACHER DATE SAVE AS: BUYING AND SELLING NAME, TEACHER AND DATE1.
Monopoly Agent Strategy Simulation Nicholas Loffredo.
A Study of Central Auction Based Wholesale Electricity Markets S. Ceppi and N. Gatti.
A Game-theoretic Analysis of Catalog Optimization JOEL OREN, UNIVERSITY OF TORONTO. JOINT WORK WITH: NINA NARODYTSKA, AND CRAIG BOUTILIER 1.
Ekambharam. p. WWindows key + Other keys GGeneral keys.
CENTURY 21 ACCOUNTING © Thomson/South-Western LESSON 18-1 Buying Plant Assets and Paying Property Tax.
1 Algorithms & Data Structures for Games Lecture 2A Minor Games Programming.
Presentation Companion Slide Pack The slides in this file were specifically designed to be used with the Presentation Companion Add-In. Training-Games.com.
MS-Access XP Lesson 4. Modifying Queries 1.Select query in queries 2.Click design button or Right click on query and click design view 3.Change query.
Fish Banks: Anchors Away!
Flight Simulator Overview Flight Compartment Host Computer Motion Control Cabinet Motion Platform 13/6/2016 Visual Display Visual Image Generator Interface.
302 GRAMMAR AUCTION Gateway b1+. These are the rules of the auction  Team up! 3 or 4 students per group.  The aim of the game is to buy as many correct.
Tips: 1. To insert your picture, click “Insert” –> “Picture”, select picture from your computer. (or just click the icon in the middle of page.) You can.
Mid Project Update Andrew Besmer Jayasri Vaidyanath Bob Sterlacci.
Title of your project Edward TSANG MSc Scheme (e.g. Computational Finance)
Presentation Title.
Presentation Title.
Games Programming in Scratch
Agenda item number 1 Agenda item number 2 Agenda item number 3 Agenda item number 4 Agenda item number 5.
CSE 4705 Artificial Intelligence
Monopoly Agent Strategy Simulation
Physics-based simulation for visual computing applications
Numerical Algorithms Quiz questions
Template for Creating a Simulation
Group 1 Group 1 Group 1 Group 1 word word word word word word word word word word word word word word word word word word word word word word word.
مديريت موثر جلسات Running a Meeting that Works
Profit-Maximizing Level for Mini-Z
Double click Microsoft Visual Studio 2010 on the Computer Desktop
Presentation Title Your information.
Sell Property Fast Cash
Photo Story 3 for Windows
Presentation transcript:

Monopoly Agent Strategy Simulation Nicholas Loffredo

Overview My project is to make a simulation of Monopoly with agents that can negotiate with each other, buy titles and houses/hotels, mortgage properties, etc. and find the optimal strategy for Monopoly.

Current State Computer buys/mortgages/unmortgages properties and buys/sells houses based on aggressiveness levels Monopoly, Matrix, Wins Display Mostly finished Monopoly rules/game Computer changes aggressiveness levels Multiple games in one run Read in aggressiveness values and wins from text file Agents trades properties for cash

Unfinished Items Auctioning Properties

What's Next Allow auctions for properties Fix a bug with trading Adjust evolution algorithm as necessary