Question: Link 1 Link 2 Link 3 Link 4 Problem Overview Racial segregation has always been a pernicious social problem in the United States. Although efforts

 Link 1 Link 2 Link 3 Link 4 Problem Overview Racialsegregation has always been a pernicious social problem in the United States.Although efforts have been made to desegregate our schools, churches, and neighborhoods,the U.S. continues to be segregated along racial and economic lines. n1971, American economist Thomas Schelling created an agent-based model that might helpexplain why segregation is so difficult to combat. His model of segregationshowed that even when individuals or "agents") didn't mind being surrounded orliving by agents of a different race, they would still choose to

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segregate themselves from other agents over time! Although the model is quitesimple, it gives a fascinating look at how individuals might self-segregate, evenwhen they have no explicit desire to do SO In this assignment,you will create a simulation of Schelling's model. More precisely, you willbe given the classes that make up the solution and asked to

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fill in missing details to make the solution work. How the ModelWorks Suppose there are two types of agents: X and O. Thetwo types of agents might represent different races, ethnicity, economic status, etc.Two populations of the two agent types are initially placed into randomlocations of a neighborhood represented by a grid. After placing all theagents in the grid, each cell is either occupied by an agent

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or is vacant (empty) as shown here: X X O X OO O O O Agents placed Problem Overview Racial segregation has always

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been a pernicious social problem in the United States. Although efforts have

Problem Overview Racial segregation has always been a pernicious social problem in the United States. Although efforts have been made to desegregate our schools, churches, and neighborhoods, the U.S. continues to be segregated along racial and economic lines. n 1971, American economist Thomas Schelling created an agent-based model that might help explain why segregation is so difficult to combat. His model of segregation showed that even when individuals or "agents") didn't mind being surrounded or living by agents of a different race, they would still choose to segregate themselves from other agents over time! Although the model is quite simple, it gives a fascinating look at how individuals might self-segregate, even when they have no explicit desire to do SO In this assignment, you will create a simulation of Schelling's model. More precisely, you will be given the classes that make up the solution and asked to fill in missing details to make the solution work. How the Model Works Suppose there are two types of agents: X and O. The two types of agents might represent different races, ethnicity, economic status, etc. Two populations of the two agent types are initially placed into random locations of a neighborhood represented by a grid. After placing all the agents in the grid, each cell is either occupied by an agent or is vacant (empty) as shown here: X X O X O O O O O Agents placed Problem Overview Racial segregation has always been a pernicious social problem in the United States. Although efforts have been made to desegregate our schools, churches, and neighborhoods, the U.S. continues to be segregated along racial and economic lines. n 1971, American economist Thomas Schelling created an agent-based model that might help explain why segregation is so difficult to combat. His model of segregation showed that even when individuals or "agents") didn't mind being surrounded or living by agents of a different race, they would still choose to segregate themselves from other agents over time! Although the model is quite simple, it gives a fascinating look at how individuals might self-segregate, even when they have no explicit desire to do SO In this assignment, you will create a simulation of Schelling's model. More precisely, you will be given the classes that make up the solution and asked to fill in missing details to make the solution work. How the Model Works Suppose there are two types of agents: X and O. The two types of agents might represent different races, ethnicity, economic status, etc. Two populations of the two agent types are initially placed into random locations of a neighborhood represented by a grid. After placing all the agents in the grid, each cell is either occupied by an agent or is vacant (empty) as shown here: X X O X O O O O O Agents placed

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