Artificial intelligence: concepts, techniques, and applications
Examines the fundamental concepts and various techniques involved in real-world applications of artificial intelligence, such as computer representation of problems, searching and inference mechanisms, intelligent languages, and computer representation and utilization of knowledge. Explores applications in theorem-proving, games, robotics, natural language processing, knowledge engineering, and more.
What people are saying - Write a review
We haven't found any reviews in the usual places.
Representation of Problems
Solving Problems by Decomposition
5 other sections not shown
A*-algorithm add list algorithm AND/OR graph AND/OR tree applied artificial intelligence AT(box AT(monkey atoms best-first search birthday party breadth-first breadth-first search called CANARY Chapter child nodes clause form closed list COND consider constraint corresponding cost defined DEFUN delete list demon DENDRAL depth-first search described edges ELEMENT-OF elements end-points evaluation value example expanded expressed fi(n first-order predicate calculus function game tree given goal node Goto LOOP initial input knowledge large number LISP match methods of searching move MYCIN number of nodes obtained ONTABLE open list optimum path optimum solution parent node PLANNER pointers preconditions problem problem-solving procedure production rules production system PROLOG representation represented resolution principle resolvent clause robot S-expression satisfied semantic network SETQ shown in Fig solution graph solved space strategy structure sub-goal symbols techniques terminal nodes THCONSE Theorem THGOAL triangle table Unit expressions unsolved graphs variables