Problem-SolvingAIPathfindingComputationalEfficiencySearchAlgorithmPathCostSearchStrategyMachineLearningHeuristicFunctionCostFunctionActionsAlgorithmicComplexityInitialStateDepth-FirstSearchTransitionModelDecisionTreeArtificialIntelligenceExploitationGoalStateGameTheoryPlanningAlgorithmUtilityFunctionA*AlgorithmGoalRecognitionProblemFormulationStateSpaceDecision-MakingExplorationStateRepresentationOptimizationReinforcementLearningBreadth-FirstSearchConstraintSatisfactionAIAgentConstraintsAutomatedReasoningProblem-SolvingAIPathfindingComputationalEfficiencySearchAlgorithmPathCostSearchStrategyMachineLearningHeuristicFunctionCostFunctionActionsAlgorithmicComplexityInitialStateDepth-FirstSearchTransitionModelDecisionTreeArtificialIntelligenceExploitationGoalStateGameTheoryPlanningAlgorithmUtilityFunctionA*AlgorithmGoalRecognitionProblemFormulationStateSpaceDecision-MakingExplorationStateRepresentationOptimizationReinforcementLearningBreadth-FirstSearchConstraintSatisfactionAIAgentConstraintsAutomatedReasoning

Components of Problem Formulation - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. Problem-Solving AI
  2. Pathfinding
  3. Computational Efficiency
  4. Search Algorithm
  5. Path Cost
  6. Search Strategy
  7. Machine Learning
  8. Heuristic Function
  9. Cost Function
  10. Actions
  11. Algorithmic Complexity
  12. Initial State
  13. Depth-First Search
  14. Transition Model
  15. Decision Tree
  16. Artificial Intelligence
  17. Exploitation
  18. Goal State
  19. Game Theory
  20. Planning Algorithm
  21. Utility Function
  22. A* Algorithm
  23. Goal Recognition
  24. Problem Formulation
  25. State Space
  26. Decision-Making
  27. Exploration
  28. State Representation
  29. Optimization
  30. Reinforcement Learning
  31. Breadth-First Search
  32. Constraint Satisfaction
  33. AI Agent
  34. Constraints
  35. Automated Reasoning