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CSCE 580 Artificial Intelligence Problem Spaces and Search

CSCE 580 Artificial Intelligence Problem Spaces and Search. Fall 2011 Jingsong Wang wang82@engr.sc.edu. Abstraction and Generality in Java. The Interaction between AI theory and program architecture Implementation of search strategies Generality and reuse

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CSCE 580 Artificial Intelligence Problem Spaces and Search

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  1. CSCE 580Artificial IntelligenceProblem Spaces and Search Fall 2011 Jingsong Wang wang82@engr.sc.edu

  2. Abstraction and Generality in Java • The Interaction between AI theory and program architecture • Implementation of search strategies • Generality and reuse • Abstraction mechanisms and design patterns

  3. Search Algorithms • Uninformed algorithms: • Depth-first search (DFS) • Breadth-first search (BFS) • … • Informed algorithms • Best-first search • …

  4. Search Algorithms • Model the structure of a problem graphically as a state—space • Elements defining a state-space: • A formal representation of possible states of a problem solution • Operators for generating new states from a given state • Some way of recognizing a goal state • A starting state of the problem, represented as the root of the graph

  5. Search Algorithms • DFS – stack • BFS – queue • Best-first search – priority queue • Heuristic rank • sorted

  6. Abstracting Problem States • The separation of representation and control • States and search engines • Goal: to define an abstract representation of problems states that supports the general search algorithm and can be easily specialized through the mechanism of class inheritance

  7. Abstracting Problem States

  8. Abstracting Problem States • Abstract class

  9. Abstracting Problem States • Interface

  10. Abstracting Problem States • Java’s generic • Collection-Type<Element-Type>

  11. Traversing the Problem Space • Implementation of search itself • Define the list of states and the mechanisms for moving through them in search

  12. Putting the Framework to Use • See the code in Eclipse

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