Table 1.
# | S.D. Measure | S.I. Measure | Description | Ref. |
---|---|---|---|---|
Φ3.0 | Integrated information according to IIT 3.0 | [5] | ||
A | CO Φ3.0 | CO | Cut one connection when making partitions | [6] |
B | NN Φ3.0 | NN | No new concepts after partitioning | [6] |
C | WS Φ3.0 | WS | Whole system as MC | |
D | IC Φ3.0 | IC | Elements with recurrent connections as MC | |
E | Est.n | Estimate from n states (n=1,2,...,15) | ||
F | Φ2.0 | Integrated information according to IIT 2.0 | [3] | |
G | Φ2.5 | Φ2.0/Φ3.0 hybrid | [12] | |
H | D1 | Reachable states | [15] | |
I | D2 | Cumulative variance of elements | [15] | |
J | S | Coalition sample entropy | [13] | |
K | LZ | Functional complexity | [13] | |
L | Φ* | Decoder based integrated information | [10] | |
M | SI | Integrated stochastic interaction | [11] | |
N | MI | Mutual information | [21] |
Abbreviations: S.D.: state-dependent; S.I.: state-independent; Ref: reference; IIT: integrated information theory; Φ: integrated information; Φpeak: maximum Φ over system states; CO: cut-one approximation; NN: no-new-concepts approximation; WS: whole-system approximation; MC: major complex; IC: iterative-cut approximation; Est.n: estimated from n sample states; D1/2: state differentiation; S: coalition entropy; LZ: Lempel–Ziv complexity; Φ*: decoder-based Φ; SI: stochastic interaction; MI: mutual information.