Apr 25, 2024  
OHIO University Graduate Catalog 2019-20 
    
OHIO University Graduate Catalog 2019-20 [Archived Catalog]

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CS 5800 - Artificial Intelligence


Definition of heuristic versus algorithmic methods, rationale of heuristic approach, description of cognitive processes, and approaches to mathematical invention. Objectives of work in artificial intelligence, simulation of cognitive behavior, and self-organizing systems. Heuristic programming techniques including use of list processing languages. Survey of examples from representative application areas. Mind-brain problem and nature of intelligence. Class and individual projects to illustrate basic concepts.

Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
Learning Outcomes:
  • Students will develop an appreciation of different philosophical, ethical, and religious viewpoints concerning computer simulation of thought processes.
  • Students will develop the ability to construct a state space to represent a problem.
  • Students will develop the ability to express real-world situations and relationships in predicate calculus.
  • Students will develop the ability to interpret and evaluate propositional and predicate calculus statements.
  • Students will develop the ability to navigate a state space to find a solution for a problem.
  • Students will develop the ability to write simple LISP programs to use AI techniques in problem solving.
  • Students will develop the ability to write simple Prolog programs to automate the solutions of problems expressed in predicate calculus.
  • Students will gain a basic understanding of the process of designing, implementing, and testing domain appropriate heuristics.
  • Students will gain an understanding of A* search.
  • Students will gain an understanding of minimax and alpha beta pruning.
  • Students will gain an understanding of the history, interdisciplinary foundations, and goals of AI.
  • Students will gain an understanding of the production system model for control and implementation of state space search.
  • Students will gain an understanding of unification and backtracking search.
  • Students will gain knowledge of current research thrusts in AI.
  • Students will gain knowledge of how AI is used in current applications.



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