Artificial Intelligence

 syllabus
 messages
 exercises
 slide
 exams
 fun stuff
 AI resources and links

Syllabus

• Introduction to AI
• Intelligent agents: agent types, environment types
• Solving problems by searching: states and actions, toy examples and real world problems, search strategies, comparison of search strategies, constraint satisfaction problems
• Informed search methods: Greedy search, A* search, Iterative deepening search; iterative methods: hill climbing, simulated annealing.
• Game playing: minimax algorithm, alpha-beta pruning, games with stochastic elements, state of the art game programs.
• Logic Based agents: inadequacy of propositional logic, first order logic, situation calculus.
• Inference in first order logic: canonical form, unification, resolution, resolution strategies.
• uncertainty: axioms of probability, Bayes rule application of Bayes rule.
• probabilistic reasoning systems: belief networks, conditional independence in belief networks, inference in belief networks, inference in multiply connected belief networks.
• Making simple decisions: basic utility theory, decision networks, value of information
• making complex decisions: sequential decision problems, value iteration, policy iteration, dynamic belief networks.
• Learning from observations: Inductive learning, Learning decision trees, computation learning theory.
• Leraning in neural and belief networks: how the brain works, neural networks, perceptrons, multilayer feed-forward networks, applications of neural networks, Bayesian methods for learning belief networks.

Textbook

Artificial Intelligence: A Modern Approach by Russel and Norvig. The book's homepage includes slides, a code repository, data and errata.

Messages

• An updated list of submissions may be viewed here PDF.
• A document with Formulas that would be included in the exam.

Exercises

Solutions will be released progressively.

Exercise1       Solution1
Exercise2       Solution2
Exercise2.5       Solution2.5
Exercise3      
Exercise4       Solution4
Exercise5       Solution5
Exercise6       Solution6
Exercise7       Solution7
Exercise8       Solution8       dataset1       dataset2

Slides

Artificial intelligence slides

Exams

semester 2, 2000, moed a
semester 2, 2000, moed b

 

Fun stuff

        play against chinook.
     hunt the wumpus
     Solve any solvable N x N sliding tile puzzle.
      A Turing conTEST - intersting results

AI Resources & Links

•  AI Education Repository   This repository is a central registry of resources related to Artificial Intelligence (AI) education.
•  Artificial Intelligence links   organized by Yahoo.
•  AI on the web    A very comprehensive and well-organized directory of AI resources (by Stuart Russel.
•  AI resources   A comprehensive list of resources   composed by the The Institute for Information Technology of Canada.
•  IAAI   Israeli Association of Artificial Inteligence.

gideon dror