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47 True/False questions

  1. Knowledge engineeran artificial intelligence specialist responsible for the technical side of developing an expert system

          

  2. ExpertiseA human being who has developed a high level of proficiency in making judgement any specific, usually narrow, domain

          

  3. Knowledge-based systemA rule-based system for providing expertise. Identical to an expert system, except that the source of expertise may include documented knowledge

          

  4. Production rulesThe most popular form of knowledge for expert systems where atomic pieces of knowledge are represented using simple if-then structures

          

  5. Expert system shellA computer system that applies reasoning methodologies to knowledge in a specific domain to render advice or recommendations

          

  6. Certainty factorsA popular technique for representing uncertainty in expert systems where the belief in an event is expressed using the experts unique assessment

          

  7. Consultation environmentThe part of an expert system that a non expert uses to obtain expert knowledge and advice

          

  8. Automated decision systemsA rule-based system for providing expertise. Identical to an expert system, except that the source of expertise may include documented knowledge

          

  9. VerificationBuilding the system right. Substantiating that the system is correctly implemented to its specifications

          

  10. Diagnosis category of expert systemsInferring system malfunction from observations

          

  11. Planning category of expert systemsDeveloping plans to achieve goals

          

  12. Repair category of expert systemsExecuting a plan to administer a prescribed remedy

          

  13. ExpertA human being who has developed a high level of proficiency in making judgement any specific, usually narrow, domain

          

  14. Decision automation systemsThe component of an expert system that can explain the system's reasoning and justify its conclusions

          

  15. Inference rulesThe part of expert system that actually performs the reasoning function

          

  16. Explanation subsystemA computer system that applies reasoning methodologies to knowledge in a specific domain to render advice or recommendations

          

  17. Theory of certainty factorsA theory designed to help incorporate uncertainty into the representation of knowledge for expert systems

          

  18. Design category of expert systemsConfiguring objects under constraints

          

  19. Control category of expert systemsComparing observations to plans and flagging exceptions

          

  20. Artificial intelligenceBuilding the system right. Substantiating that the system is correctly implemented to its specifications

          

  21. Forward chainingA search technique used in production systems that begins with the action clause of the rule and works backwards through a chain of rules in an attempt to find a verifiable set of condition clauses

          

  22. Aiartificial intelligence

          

  23. Development environmentThe part of an expert system that a non expert uses to obtain expert knowledge and advice

          

  24. Self-knowledgeHave the ability to examine their own reasoning and provide proper explanation as to why a particular conclusion was reached

          

  25. Revenue management systemsDecision making systems used to make optimal price decisions in order to maximize revenue

          

  26. Symbolic reasoningKnowledge must be represented symbolically and the primary reasoning mechanism must be symbolic

          

  27. Expert systemThe set of capabilities that underlines the performance of human experts

          

  28. Knowledge-refining systemA system that is capable of analyzing its own performance, learning, and improving itself for future consultations

          

  29. Knowledge baseA collection of if-then rules that represents the deep knowledge about a specific

          

  30. Monitoring category of expert systemsInterpreting, predicting, preparing and monitoring system behavior

          

  31. ADSExpert systems

          

  32. Instruction category of expert systemsInferring likely consequences of given situations

          

  33. Rule-based systemsA system in which knowledge is represented completely in terms of rules

          

  34. Inference engineProcedural rules. Offer advice on how to solve a problem, given that certain facts are known

          

  35. Debugging category of expert systemsPrescribing remedies for malfunctions

          

  36. Knowledge engineeringThe engineering discipline in which knowledge is integrated into computer systems to solve complex problems that normally require a high level of human expertise

          

  37. Deep knowledgeHave the ability to examine their own reasoning and provide proper explanation as to why a particular conclusion was reached

          

  38. Knowledge acquisitionThe extraction and formulation of knowledge derived from various sources, especially from experts

          

  39. Prediction category of expert systemsDiagnosing, debugging, and correcting student performance

          

  40. EvaluationBuilding the right system. Substantiating that the system performs with an acceptable level of accuracy

          

  41. Steps in developing expert systemsDefine the nature and scope of the problem, identify proper experts, acquire knowledge, select the building tools, code the system, evaluate the system

          

  42. ValidationBuilding the right system. Substantiating that the system performs with an acceptable level of accuracy

          

  43. ESExpert systems

          

  44. Interpretation category of expert systemsDiagnosing, debugging, and correcting student performance

          

  45. Knowledge rulesA collection of facts, rules, and procedures organized into schemas. The assembly of all the information and knowledge about a specific field of interest

          

  46. Backward chainingA data-driven search in a rule-based system

          

  47. User interfaceThe set of capabilities that underlines the performance of human experts