Chapter 9, Problem 4AYK

Show how a single ternary constraint such as “A + B = C” can be turned into three binaryconstraints by using an auxiliary variable. You may assume finite domains. (Hint: Consider a newvariable that takes on values that are pairs of other values, and consider constraints such as “X is thefirst element of the pair Y .”) Next, show how constraints with more than three variables can betreated similarly. Finally, show how unary constraints can be eliminated by altering the domains ofvariables. This completes the demonstration that any CSP can be transformed into a CSP with onlybinary constraints.

I want answer for all options must

Hi , is it possible for someone to insert in this genetic algorithm in matlab equations, values, equations of constraints and values ​​in order to be able to have a code that can adapt to mine please? King regards % Define decision variables, objectives, and constraintsnvars = 5; % number of decision variablesnobj = 8; % number of objectivesncon = 20; % number of constraints % Set up genetic algorithm optionsoptions = optimoptions('ga', ...    'PopulationSize', 100, ...    'MaxGenerations', 100, ...    'MutationFcn', {@mutationuniform, 0.05}, ...    'CrossoverFcn', @crossoverarithmetic); % Define objective and constraint evaluation functionsobjfun = @(x) [obj1(x), obj2(x), obj3(x), obj4(x), -obj5(x), -obj6(x), -obj7(x), -obj8(x)];confun = @(x) deal(con1(x), con2(x), ..., con20(x)); % Run genetic algorithm[x, fval, exitflag, output, population, scores] = ga(objfun, nvars, [], [], [], [], [], [], confun, options); % Plot Pareto frontpareto(fval(:,1:nobj/2),…

Please don't use handwritting for this question How would you modify the dynamic programming algorithm for the coin collecting problem if some cells on the board are inaccessible for the robot? Apply your algorithm to the board below, where the inaccessible cells are shown by X’s. How many optimal paths are there for this board? You need to provide 1) a modified recurrence relation, 2) a pseudo code description of the algorithm, and 3) a table that stores solutions to the subproblems.

Consider the following three simple rules to represent fuzzy relationship between food quality and service in a restaurant as input variables and tip amount as output variables. 1) If the food is bad OR the service is poor, then the tip will be low 2) If the service is acceptable, then the tip will be medium 3) If the food is great OR the service is amazing, then the tip will be high. Given the membership functions illustrated in Figure 1 and 2 as follows. Using the clipped center of gravity method, compute the tip amount based on the following circumstances: 1) Food quality was 6.0, and 2) Service was 8.0

QUESTION THREE A. Consider the thirsty person problem given below: To drink, a thirsty person must have three things; water, ice and a glass. There are three thirsty people, each having a different one (and only one) of the three required items. A fourth person, a server has unlimited supply of all three items. If nobody is drinking, the server places two of the three items (chosen at random) onto table. Thirsty person who can make a drink from those two items will pick them up and drink a glass of ice water. When done, thirsty person will notify the server and the process will repeat. Write a process that will control the thirsty person and the server using semaphores. (B) (i)What is a critical section in code? (ii) Explain the three properties that any solution to the Critical Section Problem should guarantee. (C)  Explain the role the Operating System plays in Garbage-In-Garbage-Out (GIGO).

The size of the intersection divided by the size of the union is used to determine how similar two papers are (each having unique words). For instance, the similarity between 1, 5, 3 and 1, 7, 2, 3 is 0, 4, as the intersection has size, if the documents are made up of integers.the union has a size of 2, andWe have a large collection of documents (each with a unique value and a corresponding ID), where the similarity is deemed to be "sparse":This means that there is a high likelihood of resemblance between any two randomly chosen papers. O. Create an algorithm that provides a list of document ID pairings together with the corresponding similarity.Only the pairings with similarity larger than 0 should be printed. Documents that are empty should not

In this assignment, you will need to write an agent that uses logical inference to find the answers to the givenquestions based on the data given in the below table:1. Python Code Filename: ID.py ID Name GPA  Program City 123 Ahmed 3.56 BS-CS Gujranwala 456 Zahid 2.85 BS-SE Lahore 789 Baber 3.70 BS-DS Gujranwala 321 Shahid 2.99 BS-CS Gujranwala 654 Jamal 3.33 BS-DS Lahore Use the given code puzzle.py and amend the code so that it finds the answer to these questions:a. Who lives in Lahore?b. Who studies in the BS-DS program?c. Who has the minimum GPA and who has the maximum GPA? You are restricted to using only the kanren logical AI library and the given code for the LogicalProgramming lectures. You may use any mathematical library (if needed) for any math related work.2. Write a report (ID.pdf) that describes the logic of your solution. Make sure to describe all main steps thatyour code uses to find the answers of the given questions.   puzzle.py; from kanren import…

What are the benefits of formulating a problem as a Constraint Satisfaction Problems (CSP)? Show with an example on how the "job-shop scheduling' problem can be formulated as CSP - clearly specify all the assumptions that you have made for it. [4+6]