PDF-Minesweeper as a Constraint Satisfaction Problemby Chris StudholmeIntr

some pattern of mines in the blank squares that give rise to the numbers seen Obviouslyinstances of the minesweeper problem have an answer of yes or no as most problems studiedin computational co. ............................................................................................................3II. The History Of Minesweeper............................................................. Introduction and Backtracking Search. This lecture:. CSP Introduction and Backtracking Search. Chapter 6.1 – 6.4, except 6.3.3. Next lecture:. CSP Constraint Propagation & Local Search. Chapter 6.1 – 6.4, except 6.3.3. CSD 15-780: Graduate Artificial Intelligence. Instructors: . Zico. . Kolter. and Zack Rubinstein. TA: Vittorio . Perera. 2. Constraint satisfaction problems. A . constraint satisfaction problem. (CSP): A set of . by a . set of . variables. {A,B,C,…}, a set . of domain . values. for these . variables, and a . set of . constraints. {R. 1. ,R. 2. ,R. 3. ,…} restricting . the allowable combinations of values for . Consumer. Behavior. Chapter 3. Discussion Topics. The concept of consumer utility (satisfaction). Evaluation of alternative consumption bundles using . indifference. curves. What is the role of your budget constraint in determining what you purchase?. Search when states are factored. Until now, we assumed states are black-boxes.. We will now assume that states are made up of “state-variables” and their “values”. Two interesting problem classes. Development of a MATLAB GUI. Start with an empty function. function . MineSweeper_GUI. (). end % of . MineSweeper. (). While not strictly required, a function that creates the GUI provides flexibility for your program. If you have multiple frames in your interface, functions permit separation of code by allowing a main program to instantiate the frames independently.. Goals of Action Research. To see if the Minesweeper game has promise to teach logical skills that aide in hypothetical and critical thinking, thus reducing dysrationalia.. To see if the Minesweeper game has promise in helping people to use a computer better.. Introduction and Backtracking Search. This lecture topic (two lectures). Chapter 6.1 – 6.4, except 6.3.3. Next lecture topic (two lectures). Chapter 7.1 – 7.5. (Please read lecture topic material before and after each lecture on that topic). Problems. . vs. . . Finite State Problems . Finite . State Problems (FSP). FSP can . be solved by searching in a space of . simple states. . . Finite states are . evaluated by domain-specific heuristics (rules) and tested to see whether they were goal states. . Contents. Rand’s Intro. Minesweeper Intro. Minesweeper . History. Minesweeper . Hook. Minesweeper . Mechanics. Rand’s Opinion. Rand’s Intro. Gaming since 4 years old. Atari 2600. Commodore 64. Nintendo / Super Nintendo / Gameboy. Eric . Karmouch. , . Amiya. . Nayak. Paper Presentation by Michael . Matarazzo. (mfm11@vt.edu). A Distributed Constraint Satisfaction Problem Approach to Virtual Device Composition. Eric . Karmouch. Problems. . vs. . . Finite State Problems . Finite . State Problems (FSP). FSP can . be solved by searching in a space of . simple states. . . Finite states are . evaluated by domain-specific heuristics (rules) and tested to see whether they were goal states. . R&N 6.1-6.4 (except 6.3.3). What is a . CSP?. Backtracking . search for CSPs. Choose a variable, then choose an order for values. Minimum Remaining Values (MRV), Degree Heuristic (DH), Least Constraining Value (LCV).