Artificial Intelligence
humanoid robot built by Boston Dynamics. A depiction of a self-driving car sensing its en-vironment appears between Ada Lovelace, the world’s first computer programmer, and Alan Turing, whose fundamental work defined artificial intelligence. At the bottom of the chess
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20 STATISTICAL LEARNING METHODS - Artificial intelligence
aima.cs.berkeley.edu20 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.
INTRODUCTION
aima.cs.berkeley.eduCHAPTER 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 …
5 CONSTRAINT SATISFACTION PROBLEMS
aima.cs.berkeley.edumaximum 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 …
7 LOGICAL AGENTS
aima.cs.berkeley.eduall 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.
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