85. Time is the perception created from receiving information.

86. Subnets linked to denser subnet receive denser data and hence experience faster time.

87. Subnets linked to sparser subnets receive sparser data and hence experience slower time.

82. Subnets search for shorter paths between nearby subnets.

83. Subnets prefer shorter routes to subnets with more information density.

84. Shorter the routes between subnets, denser the combined network density.

79. Trust is built by filtering information of failure within the network.

80. The more information about the failure is accepted by a sub-net, the lower the trust assigned to an authority.

81. The lower trust in authority, the lower probability of hierarchy, and greater the dependence on proof of work.

76. The more distributed the information, the more distributed interpretations.

77. The greater the distribution of interpretations, the greater the tests run on information.

78. The greater the tests run o the information, the more sub-nets rely on proof of work and hence a mesh structure.

73. The less distributed the information the greater the concentration of interpretations.

74. The more concentrated the interpretations, the lower the tests are done on such.

75. The lower the tests done on information, the more the network relies on trust and hence hierarchy.

70. Authority by proof of work enforce testing of interpretations for correctness.

71. Authority by proof of work exists as mesh within the network.

72. Authority by proof of work tends to form a distributed power structure.

67. Authority by trust relies on assumed correctness of the interpretation of sub-nets.

68. Authority by the trust can only be structured as chains in large networks.

69. Authority by trust in chain form within large networks form the structure of hierarchy.

64. Sub-nets interpret information by selecting and combining them from available information within the network.

65. The selection of information by sub-nets is based on the current rule sets.

66. A sub-nets current interpretation may not stand valid within a later state of the rule sets.

61. Lesser the mutations over time, the more rigid the rule sets.

62. More rigid the rule sets, lesser corrections evolve.

63. Lesser corrections lead to favoritism for data within the network.

58. Subnets assign time to spend on problems based on their priority.

59. Lower time allocation to problems means a lower amount of data is collected and processed.

60. The lower amount of data collected result in lesser mutations being made to the current rule sets.

55. Dynamic networks are incapable of maintaining absolute authority.

56. The combined authority of the network can't be overridden by independent sub-nets.

57. The energy required to maintain sum network authority override increases exponentially with time.

52. Authority is assigned on trust or, on proof of work

53. Authority assigned on trust is not auditable, hence tend to resist changes.

54. Authority assigned on proof of work is auditable, hence open to correction.

49. Sub-nets interpret information, such interpretation if favorable is recognized as an authority by the network.

50. Authorities interpret information with their own rule sets and hence change the rule sets of the network to their own.

51. Authorities create rules to preserve their interpretation which also tends to be adopted by the network.

46. Sub-nets prefer to receive from sub-nets that hold similar rules of agreement.

47. Opposing information received in compliance to current rules of agreement tend to be accepted faster by sub-nets.

48. As more information is accepted sub-nets tend to change rules of agreement to accept more of similar information.

43. Sub-nets selection of transmission is proportional to the value assigned to such information.

44. Sub-nets rate of transmission is proportional to the urgency assigned for the adoption of such information.

45. As more sub-nets adopt such information the sum information by itself change.

40. The more freely the nodes can select the information, the more of value they are assigned.

41. The more restrictions on such selection, the lesser value they are assigned.

42. The more value the information they hold is assigned, higher value they assign to themselves.

37. The more number of diverse subnets a node connects to, the more benchmarks it can run.

38. The more benchmarks a node can run on data, the better it can predict its validly.

39. The better nodes can predict validity, the better data it can rely on.

34. Information accepted by sub-nets is information agreed on by sub-nets.

35. Conflicting information demands change in the sub-nets rule set.

36. Complete incompatibility in rule sets cause detachment from current sub-nets.

31. Rules within a dynamic network can't stay static. Mutation is the primary behaviour.

32. Roll back of rule set with no reason downgrades capacity.

33. Sub-nets attempting to maintain rules unchanged will be rendered obsolete.

25. The wider the spectrum of information the sub-nets permit to be handled within itself, the more diverse the spectrum of information the nodes get to experience.

26. The wider the spectrum of information experienced by the nodes the better the rules of engagement that are produced.

27. The better the rules of engagement are in a sub-net, the better the rules of agreement within the sub-net gets.

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Blaise M Crowly

I am Blaise, and this is my personal home page. I am entrepreneur, cyber security designer and an abstract poet who love to read tons every day. My major fields of interest are cyber security, entrepreneurship, design, mathematics, science, animals, privacy, feminism, new age music, native cultures, design and almost anything under the sun. Always open to having conversation with people who have something to say about. So feel free to ping me here.