TAILIEUCHUNG - Artificial Intelligence - Lecturer 4: Search

Outline: Graph search, Best-first search, A* search. If the state space is finite and we avoid repeated states, the search is complete, but in general is not optima. If the state space is finite and we do not avoid repeated states, the search is in general not complete. If the state space is infinite, the search is in general not complete. | Artificial Intelligence For HEDSPI Project Lecturer 4 - Search Lecturers Dr. Le Thanh Huong Dr. Tran Due Khanh Dr. Hai V. Pham School of ICT HUST Outline Graph search Best-first search A search 1 Get from Arad to Bucharest as quickly as possible 2 Graph search function Graph-Search proi tem fringe returns a solution or failure fringe - lnsert Make-Node lnitial-State pro tem fringe closed - an empty set while fringe not empty node - RemoveFirst frfnge if Goal-Test problem state noơe then return Solution noơe if State nocte is not in closed then add State node to closed fringe - lnsertAII Expand nocfe problem fringe end if end return failures Never expand a node twice Straight Line Distances Straight-line distance to Bucharest Arad 366 Bucharest 0 Craiova 160 Dobreta 242 Eforie 161 Fagaras 178 Glurglu 77 Hlrsova 151 Iasi 226 Lugoj 244 Mehadla 241 Neamt 234 Gradea 380 Pi test 98 Ri milieu Vilcea 193 Sibiu 253 Timisoara 329 Urzlcenl 80 Vaslui 199 Zerind 374

• Kỹ thuật lập trình
• Artificial Intelligence
• Problem solving agents
• Problem types
• Problem formulation
• Graph search
• Best first search
• Applying artificial intelligence on e learning
• Compare E learning
• Traditional learning
• Learn 1 1 with virtual assistant
• Artificial Neural Networks (ANN) algorithms
• CS 486686 Artificial Intelligence
• Course administration
• Intelligent Assistive Technology
• A brief history of A
• Properties of task environments
• Artificial intelligence in education
• Keynote speaker abstracts
• Human computer interface issues
• Pedagogical agents
• Models of criminal liability of artificial intelligence
• Criminal liability of artificial intelligence
• Science fiction to prospect for criminal law and policy in Vietnam
• Criminal law and policy in Vietnam
• Criminal law and policy
• Lecture Artificial Intelligence
• Trí tuệ nhân tạo
• Computing machinery
• Thinking humanly
• Cognitive Science
• Lecture note Artificial Intelligence
• Performance measure
• Environment types
• Agent program
• Problem solving
• Informed search algorithms
• Local search algorithms
• Simulated annealing
• Genetic algorithms
• Constraint Satisfaction Problems
• Backtracking search for CSPs
• Game playing
• Resource limits
• Games of chance
• Logical agents
• Knowledge based agents
• Wumpus world
• First order logic
• Semantics of FOL
• Fun with sentences
• Wumpus world in FOL
• Inference in first order logic
• Generalized Modus Ponens
• Logic programming
• Bayes’ Rule
• Methods for handling uncertainty
• Making decisions under uncertainty
• Bayesian networks
• Parameterized distributions
• Inference in Bayesian networks
• Variable elimination
• Temporal probability models
• Hidden Markov models
• Kalman filters
• Speech recognition
• Speech sounds
• Word pronunciation
• Rational decisions
• Rational preferences
• Multiattribute utilities
• Learning from Observations
• Learning agents
• Inductive learning