Outmaneuvering Constraints

strict digraph { compound=true node [shape=box style=filled fillcolor=bisque] subgraph cluster_OC { label="Outmaneuvering Constraints" { S9 S8 S7 } -> S10 } S7 [label="Optimality vs\nExtensibility"] S8 [label="Local Not\nOmniscient"] S9 [label="Contrasting\nPerspectives"] S10 [label="Reflective\nMis-calibration"] }

S7: Performance of any unit as it approaches saturation is different from the performance of that unit when it operates far from saturation, therefore there are two fundamental forms of adaptive capacity for units to be viable—base and extended, both necessary but inter-constrained. Optimality vs Extensibility

S8: All adaptive units are local—constrained based on their position relative to the world and relative to other units in the network, therefore there is no best or omniscient location in the network. Local Not Omniscient

S9: There are bounds on the perspective of any unit—the view from any point of observation at any point in time simultaneously reveals and obscures properties of the environment—but this limit is overcome by shifting and contrasting over multiple perspectives. Contrasting Perspectives

S10: There are limits on how well a unit’s model of its own and others’ adaptive capacity can match actual capability, therefore, mis-calibration is the norm and ongoing efforts are required to improve the match and reduce mis-calibration (adaptive units, at least those with human participation, are reflective, but mis-calibrated). Reflective Mis-calibration

exposition