Fig 1.
Overview of the introduced second-order adaptive network architecture.
Table 1.
Types of states in the introduced three level network architecture.
Table 2.
Types of connections in the introduced adaptive network architecture.
Fig 2.
Connectivity for part of the second-order adaptive network model.
Fig 3.
Connectivity for the complete adaptive network model.
Table 3.
Explanation of the base level states for the mental model within the network model.
Table 4.
Explanation of the first-order self-model states for the mental model learning in the network model.
Table 5.
Explanation of the first-order self-model states for the instructor’s Information States in the network model.
Table 6.
Explanation of the second-order self-model states for control of the mental model learning in the network model.
Fig 4.
Dynamics of the base states X1-X14 showing internal simulation of the mental model.
Fig 5.
Base states X6 (Clutch-on) and X7 (Gearbox-neutral) with impact from OS-states X20, X21 and LW-state X45, RW-state X46 and learner IW-state X44 and instructor IS-state X85 with control by CIW-state X102.
Fig 6.
All control CIW-states showing impact from the corresponding observational learning LW-states.
Fig 7.
All control CIW-states showing their impact on the corresponding instructional learning IW-states.
Table 7.
Equilibrium analysis results for the IW-states.
Table 8.
Equilibrium analysis results for the RW-states.