1. Consider the following algorithm for the 2-SAT problem. Given a 2-CNF formula φ, start with an arbitrary truth assignment a. for i = 1 to t if a satisfies φ then return a, else find a clause C falsified by a and flip a randomly chosen bit of a corresponding to a literal from […]
Depth‐First Search (DFS) https://en.wikipedia.org/wiki/Depth‐first_search Example: DFS S B A BCC A CG S B Nodes in circle mean those in the search tree, including the expanded ones (shaded) or to be expanded (i.e. in the frontier). CGG G Breadth‐First Search (BFS) https://en.wikipedia.org/wiki/Breadth‐first_search Example: BFS S B A BCC A CG S B Nodes
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1. Forthesearchproblemwiththefollowingstatespacegraph,give the solution found by the A* search as well as the order of the states that the algorithm expands. Let us assume the tie is broken alphabetically. 2. FortheN‐Queensproblem,apartfromtherepresentationgivenin the lecture, please give another representation? 3. Considerthefollowingthe4x4Sudokuproblem,whereeach column, each row, and each of the four regions contain all of the digits from 1
Tree Search vs Local Search TreeSearchmethods:systematicallysearchthespaceof assignments. Start with an empty assignment. Assign a value to an unassigned variable and deal with constraints on the way until a solution is found. Butwhatifthespaceistoobigandeveninfinite,soinany reasonable time, systematic search may fail to consider enough of the space to give any meaningful results. LocalSearchmethods:notsystematicallysearchthespacebut
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Search Problems Planning Search Identifica tion CSPs (i.e., without preferences) Constraint Satisfaction Problems (CSPs): Identification problems have constraints to be satisfied; there is no preference in CSPs. Constraints refer to hard constraints which a legal solution cannot violate. Preferences sometimes are referred to as soft constraints (or objectives), where we need to
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CPT106 Assessment 3 CPT106 C++ Programming and Software Engineering II Assessment 3 How the work should be submitted? SOFT COPY ONLY ! (This is an INDIVIDUAL WORK and MUST be submitted through Learning Mall so that the TAs can run your programs during marking.) 1. Make sure your name and ID are printed on the
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SIT105 Thinking Technology and Design – T1, 2021 SIT105 THINKING TECHNOLOGY AND DESIGN APPLIED PROJECT DUE: 21 MAY 2021 AT 8.00PM UNIT LEARNING OUTCOMES Two ‘Unit Learning Outcome (ULO)’ of this unit are used for this assessment: (ULO2) develop strategies using generic and IT specific techniques to explore algorithms and (ULO3) Create algorithms using the
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Question 1 ◆ For the Sudoku problem in week 8’s exercise, use the local search with hill climbing to solve it (please give intermediate assignments and how many constraints they violate). Let us say the rule of hill climbing is that 1) always consider the variable which violates the most constraints and 2) swap that
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Agenda Solution to the exercises Q&A Question 1 Give your reason why in DFS every layer only has nodes at most in the frontier, where is the branching factor? Depth first search always expands the deepest node in the frontier. Question 1 Give your reason why in DFS every layer only
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Preview Rubric Applied Project Criteria Level 4 Level 3 Level 2 Level 1 Task 1 – Defining Diagram 4 points You have provided an accurate defining diagram (input / processing / output). And matches the pseudocode which was written. 3 points You have provided an accurate defining diagram (input / processing / output). However, did
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