Review Questions

1. Review Questions

2. 1. Minimalism is • A) little makes lots • B) lots make little • C) small ensemble • D) electronic

3. 2. Process music maker • A) Glen Ford • B) Steve Reich • C) IannisXenakis • D) Don Rickles

4. 3. Procedural music is • A) fast • B) algorithmic • C) slow • D) microphonic

5. 4. Crossover is related to • A) L-systems • B) recombinance • C) markov chains • D) genetic algorithms

6. 5. Axons are part of • A) markov chains • B) recombinance • C) the brain’s wiring • D) stochastics

7. 6. Neural networks have • A) markov chains • B) allusions • C) signatures • D) Hidden units

8. 7. Gradus refers to • A) Gradus ad Parnassum • B) composer’s block • C) markov chains • D) data driven programming

9. 8. agents involve • A) object-oriented programming • B) dies irae • C) 2-D automata • D) markov chains

10. 9. association networks are • A) small • B) markov chain related • C) universally connected • D) gradus centered

11. 10. World Anthem created by • A) data • B) rules • C) stochastics • D) agents

12. 11. Alice is a • A) computer program • B) recombinant • C) composer’s tool • D) all of the above

13. 12. Déjà vu is related to • A) association • B) analysis • C) adaption • D) all of the above

14. 13. Rules-based programming is • A) data driven • B) uses agents • C) acquires knowledge • D) chooses based on rules

15. 14. From Darkness, Light is by • A) David Cope • B) Alice • C) Emily Howell • D) Alena

16. 15. Emmy is based on • A) recominance • B) rules • C) stochastics • D) markov chains

17. 16. Alice is good for • A) extending music algorithmically • B) creating new styles • C) acquiring knowledge • D) developing intuition

18. 17. Allusions are • A) references • B) pointers • C) vague plagiarisms • D) all of the above

19. 18. signatures are • A) composer’s blocks • B) gradus based • C) reflect consciousness • D) composer cliches

20. 19. Gradus learns • A) harmony • B) counterpoint • C) melody • D) none of the above

21. 20. dendrites are part of • A) markov chains • B) allusions • C) conscioiuness • D) the human brain

22. 21. Dies Irae is • A) a harmonic depression • B) a harmonic progression • C) an allusion to death • D) a signature

23. 22. Neural networks • A) adapt • B) learn • C) model • D) all of the above

24. 23. Synapses are • A) spaces between axons/dendrites • B) transmitters • C) receptors • D) markov nodes

25. 24. sequences • A) repeat • B) repeat at different pitch levels • C) develop • D) all of the aboe

26. 25. Wolfram • A) wrote NKS • B) worked with CA • C) developed WolframAlpha • D) all of the above

27. 26. Emily Howell uses • A) cannot learn • B) carrot stick approach • C) develops ideas • D) uses only German

28. 27. Emily’s network has • A) half as many weights as nodes • B) twice as many weights as nodes • C) few weights • D) none of the above

29. 28. Land of Stone by • A) Cope • B) Alice • C) Emily • D) Alena

30. 29. Backtracking means to • A) track backwards • B) remember and try again • C) reverse and try again • D) all of the above

31. 30. ANN means • A) Association network nodes • B) artificial neural network • C) a necessary neuron • D) a nother nothing

32. 31. a feed forward neural network • A) called a perceptron • B) uses backpropagation • C) gets it right first time • D) does not need training

33. 32. Emmy involves • A) association • B) backtracking • C) nodal networks • D) voice-leading

34. 33. voice leading is • A) how voices lead to one another • B) how chords move • C) how melodies work • D) all of the above

35. 34. destination pitches give us • A) correct voice leading • B) better harmonic progressions • C) stronger melodies • D) none of the above

36. 35. Emmy first used • A) chopin mazurkas • B) bach chorales • C) rachmaninoff symphonies • D) beethoven

37. 36. a function is a • A) programming action • B) variable • C) constant • D) none of the above

38. 37. emotions are a • A) part of intelligence • B) not a part of intelligence • C) a part of programming • D) always accurate

39. 38. learning involves • A) memory • B) association • C) mistakes • D) all of the above

40. 39. Predicting is an important part of • A) learning • B) intelligence • C) memory • D) all of the above

41. 40. complex adaptive systems involve • A) completely random events • B) events too complex to predict • C) follow markov orders • D) involve l-Systems

42. 41. Emergence involves • A) complex interactions of environments • B) unpredictable behavior • C) predictable behavior • D) all of the above

43. 42. Agents have • A) built-in data and functions • B) only external influence • C) variables • D) conflcts

44. 43. Example of emergence • A) weather • B) markov chains • C) Stochastics • D) non-linear math

45. 44. Boids is an example of • A) stochastics • B) probabilities • C) chess • D) emergence

46. 45. MGC is good for • A) turning numbers into sound • B) turning numbers into .mid files • C) turning numbers into images • D) turning numbers into more numbers

47. 46. Prime numbers are a good example of • A) pi • B) geometry • C) algebra • D) descrete mathematics

48. 47.Mozart composed • A) concertos • B) musikalisheswurfelspiele • C) symphonies • D) all of the above

49. 48. tossing dice produces • A) twelve outcomes • B) two outcomes • C) one outcome • D) eleven outcomes

50. 49. chess is a game of • A) probability • B) stochastics • C) markov • D) skill