TAILIEUCHUNG - Chapter 3: Constraint satisfaction problems

Chapter 3: Constraint satisfaction problems presents about What is a CSP? Posing a CSP; Generate-and-test-algorithms; Standard backtracking algorithm; Consistency algorithm; Look-ahead Schemes and somethings else. | Chapter 3 CONSTRAINT SATISFACTION PROBLEMS Outline What is a CSP? Posing a CSP Generate-and-test-algorithms Standard backtracking algorithm Consistency algorithm Look-ahead Schemes What is a CSP? In constraint satisfaction problems (CSPs), we are given a set of variables, a domain for each variable, and a set of constraints. Each constraint is defined over some subset of the original set of variables and limits the combinations of values that the variables in this subset can take. The goal is to find one assignment to the variables such that the assignment satisfies all the constraints. CSPs can be divided into two main classes: Satisfiability problems, where the goal is to find an assignment of values to variables that satisfies some constraints. An assign-ment of values to variables either satisfies the constraints or not. Optimization problems, where each assignment of a value to each variable has a cost or an objective value associated with it. The goal is to find an .

• Kỹ thuật lập trình
• Constraint satisfaction problems
• Generate and test algorithms
• Standard backtracking algorithm
• Consistency algorithm
• Look ahead Schemes
• Posing a CSP
• What is a CSP
• Genetic Algorithms to Constraint Satisfaction Problems
• Genetic Algorithm
• Components of GA
• Constraint Handling in Gas
• GA for 8 Queens Problems
• Memetic Algorithms
• Artificial Intelligence
• Backtracking search
• Problem structure
• Local search for CSPs
• Lecture Artificial Intelligence
• Trí tuệ nhân tạo
• Computing machinery
• Backtracking search for CSPs
• Lecture note Artificial Intelligence
• Bài giảng trí tuệ nhân tạo
• Khoa học máy tính
• Algorithm design
• Lecture Algorithm design
• Algorithm analysis
• Poly time reductions
• Graph coloring
• Intelligent agents
• Beyond classical search
• Adversarial search
• Logical agents
• Inference in first order logic