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Artificial Intelligence

Artificial IntelligenceA Modern ApproachFourth EditionPEARSON SERIESIN ARTIFICIAL INTELLIGENCES tuart Russell and Peter Norvig, EditorsFORSYTH& PONCEC omputer Vision: A Modern Approach, 2nd LispJURAFSKY& MARTINS peech and Language Processing, 2nd Bayesian NetworksRUSSELL& NORVIGA rtificial Intelligence : A Modern Approach, 4th IntelligenceA Modern ApproachFourth EditionStuart J. Russell and Peter NorvigContributing writers:Ming-Wei ChangJacob DevlinAnca DraganDavid ForsythIan GoodfellowJitendra M.

matical concepts and notation are described in Appendix A and our pseudocode is described in Appendix B. This book is primarily intended for use in an undergraduate course or course sequence. The book has 28 chapters, each requiring about a week’s worth of lectures, so working through the whole book requires a two-semester sequence.

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20 STATISTICAL LEARNING METHODS - Artificial intelligence

aima.cs.berkeley.edu

20 STATISTICAL LEARNING METHODS In which we view learning as a form of uncertain reasoning from observations. Part V pointed out the prevalence of uncertainty in real environments.

  Methods, Statistical, Learning, 20 statistical learning methods

INTRODUCTION

aima.cs.berkeley.edu

CHAPTER 3 SOLVING PROBLEMS BY SEARCHING function BEST-FIRST-SEARCH(problem,f) returns a solution node or failure node ←NODE(STATE=problem.INITIAL) frontier ←a priority queue orderedby f, with node as an element reached ←a lookup table, with one entry with key problem.INITIAL and value node while not IS-EMPTY(frontier) do node ←POP(frontier) if …

  Frontier

5 CONSTRAINT SATISFACTION PROBLEMS

aima.cs.berkeley.edu

maximum domain size of any variable in a CSP is d, then the number of possible complete assignments is O(dn)—that is, exponential in the number of variables. Finite-domain CSPs BOOLEAN CSPS include Boolean CSPs, whose variables can be …

  Satisfaction, Constraints, Constraint satisfaction

7 LOGICAL AGENTS

aima.cs.berkeley.edu

all the basic concepts of logic. There is also a well-developed technology for reasoning in propositional logic, which we describe in sections 7.5 and 7.6. Finally, Section 7.7 combines the concept of logical agents with the technology of propositional logic to build some simple agents for the wumpus world.

  Reasoning, Logical

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International Baccalaureate Diploma Programme Subject Brief

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