cs6601 assignment 1 github

Round the values to 3 decimal places thoughout entire assignment: Those values can be hardcoded in your program. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. To review, open the file in an editor that reveals hidden Unicode characters. Only copy-paste :), We have included the "Haversine" heuristic in the. Clone this repository recursively: In particular, what I felt was missing from the book was an integrative approach that tackles systems design design by incorporating multiple AI techniques. my_player (Player), The player facing the opponent in question, [(int, int)]: List of all opponent's moves. You signed in with another tab or window. The following commands will create a BayesNet instance add node with name "alarm": You will use BayesNet.add_edge() to connect nodes. Although simpler, rest of the assignments are not that easy. The first major category of techniques used by a rational agent is search. There is simply no comparison between reading the book on your own and learning the concepts and techniques presented in the lectures. CSEE4119 Computer Networks Coding Assignment #1. name: Cameron Coleman UNI: cc4535. The return format should be identical to Part 1b. row: int, Row position of move in question, col: int, Column position of move in question, bool: Whether the [row,col] values are within valid ranges. If nothing happens, download Xcode and try again. While you'll only have to edit and submit submission.py, there are a number of notable files: Points for each section are awarded based on finding the correct path and by evaluating the number of nodes explored. and this cheat sheet provides a nice intro. You may find this helpful in understanding the basics of Gibbs sampling over Bayesian networks. The fifth assignment focused on Hidden Markov Models, specifically using the Viterbi algorithm to recover the sequence of hidden states using a probabilistic model of observations and state transitions (i.e., HMMs). It is designed to be challenging and involve significant independent work, readings, and assignments. Install additional package that will be used to for visualising the game board. See which queen is inactive. Then what we want you to do is to start at node a and expand like in a normal search. Should the TAs need to push out an update to the assignment, commit (or stash if you are more comfortable with git) the changes that are unsaved in your repository: Then update the master branch from remote: This updates your local copy of the master branch. This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. Contribute to repogit44/CS6601-2 development by creating an account on GitHub. Spring 2023, CS 6601 (656 Documents), CS 2110 - Computer Organiz&Program How was Compilers considering workload and difficulty? A simple task to wind down the assignment. git clone --recursive https://github.gatech.edu/omscs6601/assignment_4.git. Implement A* search using Euclidean distance as your heuristic. Canvas Videos: Lecture 5 on Probability In Part 1a, we use only right-hand Y-axis coordinates as our feature, and now we are going to use two features - the same right-hand Y-axis coordinates and the right-thumb Y-axis coordinates. Cannot retrieve contributors at this time. Unexpected token < in JSON at position 4 SyntaxError: Unexpected token < in JSON at position 4 Refresh No reason to drop just because of assignment 1. We recognize this is a hard assignment and tri-directional search is a more research-oriented topic than the other search algorithms. It is very easy to encounter exponential growth in search spaces, which quickly leads to intractable problems. Because reading provides only a small fraction of the information on a topic, the assignments fill the gap to actively apply the techniques to problems. (str, [(int, int)], str): Queen of Winner, Move history, Reason for game over. Each team has a fixed but CS6601 Assignment 5.pdf 6 pages Assignment 1.pdf 7 pages submission.py 9 pages cs 6601 assignment4 Fall 2020.py 12 pages decision_trees_submission.py 3 pages Assignment 1 player_submission.py 11 pages submission_assignment_5.py 6 pages hmm.py 13 pages search_submission.py 11 pages submission.py 12 pages submission.py 8 pages mixture_models.py Initializes and updates move_history variable, enforces timeouts, and prints the game. Each move takes the form of (row, column). Mini-project 1: https://github.com/jpermar/gt6601learningportfolio/blob/master/papers/paper1.pdf, Mini-project 2: https://github.com/jpermar/gt6601learningportfolio/blob/master/papers/paper2.pdf. The general idea of MH is to build an approximation of a latent probability distribution by repeatedly generating a "candidate" value for each sample vector comprising of the random variables in the system, and then probabilistically accepting or rejecting the candidate value based on an underlying acceptance function. I was unfortuantely no where close to finishing . (956 Documents), CS 1371 - COMPUTER SCIENCE FOR ENGINEERS/MATLAB You will find the following resources helpful for this assignment. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. View code If nothing happens, download Xcode and try again. Here are some notes you might find useful. sign in Return your name from the function aptly called return_your_name(). The primary lesson is to use an indirect approach, such as hidden markov models, or to take an alternative approach of training a system to to tell you which features matter (given a set of potentially relevant features). Useful for testing purposes; call board.play_isolation() afterwards to play, board_state: list[str], Desired state to set to board, p1_turn: bool, Flag to determine which player is active, # set last move to the first found occurance of 'Q1', # Count X's to get move count + 2 for initial moves, #function to edit to introduce any variant - edited for skid variant by Aoun Hussain (1/28/2022), Apply chosen move to a board state and check for game end, queen_move: (int, int), Desired move to apply. Create a copy of this board and game state. Eg. Hint: unknown skill level, represented as an integer from 0 to 3. Implement bidirectional uniform-cost search. The temperature gauge reads the correct temperature with 95% probability when it is not faulty and 20% probability when it is faulty. There is a large focus on implementing algorithms from scratch, and then applying some portions on practical examples. You signed in with another tab or window. executable file 62 lines (35 sloc) 2.87 KB Raw Blame Setup Clone this repository recursively: git clone --recursive https://github.gatech.edu/omscs6601/assignment_4.git (If your version of git does not support recurse clone, then clone without the option and run git submodule init and git submodule update ). Keep in mind, we are not performing 3 bidirectional A* searches. This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. Skip to content Toggle navigation. expanding until two of the three searches meet. Sanity check for making sure a move isn't occupied by an X. bool: Whether the [row,col] position is blank (no X), Sanity check for checking if a spot is occupied by a player, bool: Whether the [row,col] position is currently occupied by a player's queen, Sanity check to see if a space is within the bounds of the board and blank. to use Codespaces. Markov Chain Monte Carlo |461| / 1 vs |462| / 2. Run: Once started you can access http://localhost:8888 in your browser. This method should just perform a single iteration of the algorithm. The assignments effectively picked up where the reading left off. Data README.md README.md CS6601 Use Git or checkout with SVN using the web URL. assuming that temperature affects the alarm probability): Use function BayesNet.add_edge(,). If so, first check what files are in conflict: The files in conflict are the ones that are "Not staged for commit". Each move takes the form of. Assignment 1 - Isolation Game - CS 6601: Artificial Intelligence Probabilistic Modeling less than 1 minute read CS6601 Assignment 3 - OMSCS. See which player is active. In a typical ASL recognition system, you observe the XY coordinates of the speaker's left hand, right hand, and nose for every frame. There is a search_submission_tests.py file to help you along the way. Contribute to repogit44/CS6601-2 development by creating an account on GitHub. The fourth assignment tested our knowledge of 1) deterministic planning by creating a sequence of actions in PDDL that lead from an initial world state to a goal state and 2) probabilistic inference using Bayesian networks. uniform_cost_search() should return the same arguments as breadth-first search: the path to the goal node (as a list of nodes). Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. For example, an evidence vector [38, 37, 35, 32, 35, 13, 36, 41, 41, 31, 32, 34, 34] (last training sequence for "SLEEP") should output a sequence ['S1', 'S2', 'S3'], If no sequence can be found, the algorithm should return one of the following tuples: If you're completing this assignment in Jupyter Notebook, you must run the notebook2script.py file to export your work to a python file. Provide the transition and prior probabilities as well as the emission parameters for all three words with accuracy to 3 decimal digits. Example: Say 46 is the rightmost observation in State 1. # CS6601 # Assignment 6 # This file is your main submission that will be graded against. For HMM training, which side of the boundary should we check first while assigning observed sequence values to states? ", "gauge" (high = True, normal = False), "temperature" (high = True, normal = False), the marginal probability that the alarm sounds, the marginal probability that the gauge shows "hot", the probability that the temperature is actually hot, given that the alarm sounds and the alarm and gauge are both working. legal_moves: [(int, int)], List of legal moves to indicate when printing board spaces. You can use it here too if you want to be consistent. - What have you learned? print_moves: bool, Should the method print details of the game in real time . Should pass in yourself to get your moves. The children for mode n1 is n2 as the same the children for the mode n2 is the terminal node nj . Bidirectional A star example method 1.pdf, Bidirectional A star example method 2 using 4th edition book.pdf, Search Question solutions + Partial credit explanation.pdf, AI Logic&PlanningWithAnswers - Spring2022.pdf, Game-Playing-Final-Solutions-CS6601-Q1.pdf, Midterm_v1.0_SPRING2020_Clarifications.pdf. For instance, running inference on P(T=true) should return 0.20 (i.e. Fall 2020, CS 6601 Learn more about bidirectional Unicode characters. (20+), Ch 1, Section EOC End Of Chapter, Exercise 1.1, Ch 2, Section EOC End Of Chapter, Exercise 2.1, Ch 3, Section EOC End Of Chapter, Exercise 3.1, Ch 4, Section EOC End Of Chapter, Exercise 4.1, Ch 5, Section EOC End Of Chapter, Exercise 5.1, Ch 6, Section EOC End Of Chapter, Exercise 6.1, Ch 7, Section EOC End Of Chapter, Exercise 7.1, Ch 8, Section EOC End Of Chapter, Exercise 8.1, Ch 9, Section EOC End Of Chapter, Exercise 9.1, CS 1371 - COMPUTER SCIENCE FOR ENGINEERS/MATLAB, CS 6601 Get position of certain player object. Most 'NoneType object ' errors are because the path you return is not completely connected (a pair of successive nodes in the path are not connected). Artificial Intelligence. Provide the precise relationshipof cause and effect. The goal of this assignment is to demonstrate the power of probabilistic models. CS6601: Artificial Intelligence Course Overview/Thoughts - YouTube 0:00 / 11:40 Intro/Course Overview CS6601: Artificial Intelligence Course Overview/Thoughts Bryan Truong 1.54K subscribers. Frequently Asked Questions Along with Issues and Solutions - When the temperature is hot, the gauge is faulty 80% of the time. If you're at 9 submissions, use your tenth and last submission wisely. To get you started with handling graphs, implement and test breadth-first search over the test network. There was a problem preparing your codespace, please try again. No description, website, or topics provided. What are the criteria for an admissible search heuristic? For simplicity, say that the gauge's "true" value corresponds with its "hot" reading and "false" with its "normal" reading, so the gauge would have a 95% chance of returning "true" when the temperature is hot and it is not faulty. # 'A1': .083, 'A2': 0, 'A3': 0, 'Aend': 0. To generate your submission file, run the command. Please include all of your own code for submission in submission.py. choosing landmarks and pre-computing reach values, ATL (A*, landmarks, and triangle-inequality), shortcuts (skipping nodes with low reach values). Work fast with our official CLI. Adapt the concept of probabilistic learning. Resources. N is a positive integer, delta goes from (0,1). And if not, try tuning those parameters(N and delta). Hint 4: In order to count the sample states later on, you'll want to make sure the sample that you return is hashable. Are you sure you want to create this branch? The temperature gauge can also fail, with the chance of failing greater when the temperature is high. This keeps your results consistent with ours and avoids some headache. Sanity check for making sure a move is within the bounds of the board. Fill in the function make_power_plant_net(). Method to play out a game of isolation with the agents passed into the Board class. CS6601-Assignment-1 . What's the codefor a simple maze game in C++. Thad introduces the students to the field of artificial intelligence. I was running cell xxx when I opened up my notebook again and something or the other seems to have broken. However, make sure you have gone through the instructions in the notebook.ipynb at least once. If nothing happens, download Xcode and try again. The Assignments Project 1 - Game Search (90) Project 2 - Graph Search, Djikstra's, A* (56) Project 3 - Bayesian Networks (85) Project 4 - Decision Trees (100) Project 5 - K-means clustering and Gaussian Mixture Models (1) git clone https://github.gatech.edu/omscs6601/assignment_2.git. A tag already exists with the provided branch name. Open these files using your favourite editor and look for lines containing <<<< and >>>>. You signed in with another tab or window. We'll say that the sampler has converged when, for "N" successive iterations, the difference in expected outcome for the 3rd match differs from the previous estimated outcome by less than "delta". Contribute to repogit44/CS6601-2 development by creating an account on GitHub. sign in Ans: This is one thing that is very different between IDEs like PyCharm and Jupyter Notebook. Hopefully they are of some use to you all as well! The key is to remember that first entry represents the probability for P(A==False), and second entry represents P(A==true). The early readings provided much background information on the rationale for using and applying the presented techniques. You can access the (x, y) position of a node using: You need to include start and goal in the path. Run the following command to install all requirements for this assignment: Hidden Markov Models are used extensively in Artificial Intelligence, Pattern Recognition, Computer Vision, and many other fields. Used mostly in play_isolation for display purposes. Repeat this experiment for Metropolis-Hastings sampling. You may also want to look at the Tri-city search challenge question on Canvas. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. and your file will be created under the submission directory. Learn more about bidirectional Unicode characters. You can return the path in any order. Hopefully, Assignment 0 got you pretty comfortable with Jupyter or at the very least addressed the major things that you may run into during this project. Hint 1: In both Metropolis-Hastings and Gibbs sampling, you'll need access to each node's probability distribution and nodes. Changes made to files in your assignment folder will automatically be reflected within the machine. [(int, int)]: List of all legal moves. Teaching Assistant (Assignment 3) ( prasad.ashita[at]gmail.com ) Naman Goyal Teaching Assistant (Assignment 2) ( naman.goyal21[at]gmail.com ) C o u r s e D e s c r i p t i o n CS6601 is a survey of the field of Artificial Intelligence and will oen be taken as the first graduate course in the area. Later in the book, that rationale mostly disappeared. this section. There is a little more to this when you get to tridirectional, so read those Notes especially carefully as well, If you are stuck, check out the resources! my_player (Player), Player to get moves for. Search is also the basis of more advanced AI techniques, such as simulated annealing, genetic algorithms, two-player zero-sum games (including games with chance), and constraint satisfaction problems. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Here are links to my two mini-project papers. Method to play out a game of isolation with the agents passed into the Board class. CS 1331 - INTRO TO JAVA A tag already exists with the provided branch name. B: Build a causal graphical model that represents getting to a ball gamewith the variables below. Please explain what's happening in the code and why the line below is needed or if it could be. Initializes and updates move_history variable, enforces timeouts, and prints the game. The idea is that we can provide this system with a series of observations to use to query what is the most likely sequence of states that generated these observations. # 'B1': .083, 'B2': 0, 'B3': 0, 'B4': 0, 'B5': 0, 'B6': 0, 'B7': 0, 'Bend': 0. Automate any workflow . In case of Gibbs, the returned state differs from the input state at at-most one variable (randomly chosen). This page is my learning summary of Georgia Tech's Artificial Intelligence course, CS 6601, taken in Fall 2012. Obtained from play_isolation, board: Board, board that game in question was played on. Many previous students have found it useful to go through the resources in this README if they are having difficulty understanding the algorithms. Make sure the path returned is from start to goal and not in the reverse order. Assume that the following statements about the system are true: Use the description of the model above to design a Bayesian network for this model. However, due to imprecision in some machines it could appear as 0.199xx. Native Instruments - Session Strings Pro KONTAKT Library . I chose gesture recognition primarily because it is a hard problem (an inverse perception problem). The shifted perspective significantly aids comprehension. If we denote the mean and std of State i as i,i, then should we be comparing If you're having problems (exploring too many nodes) with your Breadth first search implementation, one thing many students have found useful is to re-watch the Udacity videos for an optimization trick mentioned. Resolve conflicts as seems best (ask a TA if you are confused!) This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. 3 total matches are played. - In that situation, always keep at least one observation for that hidden state. of this assignment. Every time you process a node, by calling graph[node] or graph.neighbors(node), the count for that node increases by one. Spring 2014, CS 6601 We will provide some margin of error in grading the size of your 'Explored' set, but it should be close to the results provided by our reference implementation. 2. Quite simply, exponentially growing search spaces are a nightmare for computational tractability. Gibbs Sampling CS6601_Assignment_2 . will be based on Atlanta Pickle data. Get all legal moves of the opponent of the player provided. In particular, this project employs hidden Markov models (HMM's) to analyze a series of measurements taken from videos of isolated American Sign Language (ASL) signs collected for research. The Seven Intelligence Forms are: Linguistic stuff. My Jupyter notebook does not seem to be starting up or my kernel is not starting correctly. In this implementation of priority queue, if two elements have the same priority, they should be served according to the order in which they were enqueued (see Hint 3). Cannot retrieve contributors at this time. Note that if you have spent significant time tackling complex problems "on the job", that experience will aid you when learning the advanced lecture material. In order to reconstruct your most-likely path after running Viterbi, you'll need to keep track of a back-pointer at each state, which directs you to that state's most-likely predecessor. Build a causal graphical model that represents making a 911 call with the following variables below. Use the VariableElimination provided to perform inference. All words must start from State 1 and can only transit to the next state or stay in the current one. 2b: Calculate posterior distribution for the 3rd match. bidirectional_a_star() should return the path from the start node to the goal node, as a list of nodes. You signed in with another tab or window. Thus, we enter the world of stochastic techniques which are designed primarily to handle uncertainty. The sixth assignment, Learning, focused in on two common and powerful techniques for learning from data: learning decision trees from a data set via information gain and designing a neural network for XOR, which taught me exactly how neural networks can learn: by modifying weights on linked units, each of which implements a threshold functions. There were two mini-projects in which I chose to research a problem that was supposed to be relevant to my your future career. You are allowed two submissions every thirty minutes. In this assignment, you will work with probabilistic models known as Bayesian networks to efficiently calculate the answer to probability questions concerning discrete random variables. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. Get all legal moves of certain player object. Here's your chance to show us your best stuff. For example, to connect the alarm and temperature nodes that you've already made (i.e. # 'C1': .036, 'C2': 0, 'C3': 0, 'C4': 0, 'C5': 0, 'C6': 0, 'C7': 0, 'Cend': 0, # 'L1': 0, 'Lend': 0, 'W1': .857, 'Wend': .036, sequence: a string of most likely decoded letter sequence (like 'A B A CAC', using uppercase). Work fast with our official CLI. Get all legal moves of active player on current board state as a list of possible moves. You are asked to use the provided function gaussian_prob to compute emission probabilities. You can check your probability distributions in the command line with. - simple assignment with two dozens of functions that varied between 2-20 lines of code each. It turns out the way that we do this can impact our overall search runtime. Ensure that you have created the required AI.txt to enter the tournament. We are searching from each of the goals towards the other two goals, in the direction that seems most promising. The last two forms of learning we covered were learning probabilistic models (HMMs and Bayes nets) from data and learning policies that guide the agent on what to do in the absence of explicit directions. # 'B1': .036, 'B2': 0, 'B3': 0, 'B4': 0, 'B5': 0, 'B6': 0, 'B7': 0, 'Bend': 0. The last submission before the deadline will be used to determine your grade. As shown in the diagram below, each one of the three words (ALLIGATOR, NUTS, and SLEEP) has exactly THREE hidden states in its HMM. This returns a path of nodes from a given start node to a given end node, as a list. For these exercises, we recommend you take a look at the following resources. You can access these by calling: Hint 2: While performing sampling, you will have to generate your initial sample by sampling uniformly at random an outcome for each non-evidence variable and by keeping the outcome of your evidence variables (AvB and CvA) fixed. I completed two projects, one on search in two-player zero-sum games, and other on gesture recognition. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. CS6601-CS3600-Assignment-6-Hidden-Markov-Models-1. Are you sure you want to create this branch? git clone https://github.gatech.edu/omscs6601/assignment_2.git Setup Activate the environment: conda activate ai_env In case you used a different environment name, to list of all environments you have on your machine you can run conda env list.
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cs6601 assignment 1 github 2023