Table 1 Training data set used to create the cognitive room.

From: Neural network based formation of cognitive maps of semantic spaces and the putative emergence of abstract concepts

Name

Height (cm)

Weight (kg)

Number legs

Danger (subjective)

Reproduction (2 = Birth, 1= Eggs)

Fur (2 = No, 1 = Yes)

Lungs (2 = No, 1 = Yes)

Elephant

350

6000

4

60

2

2

1

Tiger

100

100

4

100

2

1

1

Lion

120

175

4

100

2

1

1

Dog

70

30

4

20

2

1

1

Rabbit

40

2

4

0

2

1

1

Bear

200

500

4

60

2

1

1

Cow

120

500

4

20

2

1

1

Deer

70

20

4

0

2

1

1

Cat

30

4

4

5

2

1

1

Beaver

60

25

4

5

2

1

1

Giraffe

500

1200

4

40

2

1

1

Ape

70

40

4

30

2

1

1

Horse

120

250

4

10

2

1

1

Camel

125

400

4

10

2

1

1

Goat

70

60

4

5

2

1

1

Sheep

60

20

4

5

2

1

1

Pig

60

200

4

5

2

2

1

Hamster

5

0.2

4

0

2

1

1

Dolphine

200

60

0

10

2

2

1

Raccoon

50

15

4

5

2

1

1

Red Pander

30

5

4

5

2

1

1

Ant

0.1

0.00001

6

1

1

2

2

Bee

1

0.0001

6

5

1

2

2

Cockroach

5

0.005

6

0

1

2

2

Goliathus

8

5

6

0

1

2

2

Giant weta

10

0.035

6

0

1

2

2

Heteropteryx

15

0.05

6

0

1

2

2

Cane toad

15

1

4

0

1

2

1

Fire Salamander

17

0.035

4

0

1

2

1

Frog

4

0.01

4

0

1

2

1

Olm

20

0.02

4

0

1

2

1

Tree Frog

4

0.005

4

0

1

2

1

  1. It consists of 32 different animal species, which belong to three different taxonomic classes: mammals, insects and amphibians. Each animal is characterized by seven semantic features: Height, weight, number of legs, its danger level, the reproduction system, if it has fur and if it has lungs.
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