neural network: win at chess

Related concepts

Parents	algorithm Weight: 0.75 , system Weight: 0.67 , network Weight: 0.67 , brain Weight: 0.65
Siblings	human brain Weight: 0.72 , neuron Weight: 0.48 , computer network Weight: 0.39 , cartoon network Weight: 0.37 , limbic system Weight: 0.34

Related properties

Property	Similarity
win at chess	1.00
be applied win at chess	0.95

Priors about this statement

Cues

Evidence

Clauses

Salient implies Plausible

0.23

Rule weight: 0.28
Evidence weight: 0.82
Similarity weight: 1.00

Evidence: 0.46

Plausible(neural network, win at chess) ⋁

Evidence: 0.33

¬ Salient(neural network, win at chess)

Similarity expansion

0.66

Rule weight: 0.85
Evidence weight: 0.81
Similarity weight: 0.95

Evidence: 0.25

Remarkable(neural network, win at chess) ⋁

Evidence: 0.25

¬ Remarkable(neural network, be applied win at chess)

0.62

Rule weight: 0.85
Evidence weight: 0.76
Similarity weight: 0.95

Evidence: 0.65

Typical(neural network, win at chess) ⋁

Evidence: 0.69

¬ Typical(neural network, be applied win at chess)

0.59

Rule weight: 0.85
Evidence weight: 0.73
Similarity weight: 0.95

Evidence: 0.33

Salient(neural network, win at chess) ⋁

Evidence: 0.40

¬ Salient(neural network, be applied win at chess)

0.42

Rule weight: 0.85
Evidence weight: 0.51
Similarity weight: 0.95

Evidence: 0.46

Plausible(neural network, win at chess) ⋁

Evidence: 0.90

¬ Plausible(neural network, be applied win at chess)

Typical and Remarkable implies Salient

0.12

Rule weight: 0.14
Evidence weight: 0.89
Similarity weight: 1.00

Evidence: 0.33

Salient(neural network, win at chess) ⋁

Evidence: 0.65

¬ Typical(neural network, win at chess) ⋁

Evidence: 0.25

¬ Remarkable(neural network, win at chess)

Typical implies Plausible

0.31

Rule weight: 0.48
Evidence weight: 0.65
Similarity weight: 1.00

Evidence: 0.46

Plausible(neural network, win at chess) ⋁

Evidence: 0.65

¬ Typical(neural network, win at chess)