0420900012
77-32022,
20 2008
,
ISSN 1990-4665
12+
  English
 

 

 

 
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CC BY  Attribution ()
 
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007.681.5:519.714:519.766

 

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1- (School of Information & Computer Science University of California, Irvine, USA, http://www.ics.uci.edu), Internet : http://www.ics.uci.edu/~mlearn/MLSummary.html .

: Abalone, Adult, Annealing, Anonymous Microsoft Web Data, Arrhythmia, Artificial Characters, Audiologys, Auto-Mpg, Automobile, Badges, Balance Scale, Balloons, Breast Cancer, Wisconsin Breast Cancers, Pittsburgh Bridges, Car Evaluation, Census Income, Chesss, Bach Chorales (time-series), Connect-4 Opening, Credit Screenings, Computer Hardware, Contraceptive Method Choice, Covertype data, Cylinder Bands, Dermatology, Diabetes Data, The Second Data Generation Program - DGP/2, Document Understanding, EBL Domain Theories and Examples, Echocardiogram, Ecoli, Flags,Function Findings, Glass Identification, Haberman's Survival Data, Hayes-Roth, Heart Diseases, Hepatitis, Horse Colic, Housing (Boston), ICU Data, Image segmentation, Internet Advertisements, Ionosphere, Iris Plant, Isolet Spoken Letter Recognition, Kinship, Labor relations, LED Display Domains, Lenses, Letter Recognition, Liver-disorders, Logic-theorist, Lung Cancer, Lymphography, Mechanical Analysis Data, Meta-data, Mobile Robots, Molecular Biologys, MONK's Problems, Moral Reasoner, Multiple Features, Mushrooms, MUSKs, Nursery, Othello Domain Theory, Page Blocks Classification, Pima Indians Diabetes, Optical Recognition of Handwritten Digits, Pen-Based Recognition of Handwritten Digits, Postoperative Patient, Primary Tumor, Qualitative Structure Activity Relationships (QSARs), Quadraped Animals Data Generator, Servo, Shuttle Landing Control, Solar Flares, Soybeans, Challenger USA Space Shuttle O-Rings, Low Resolution Spectrometer, Spambase, SPECT and SPECTF hearts, Sponge, Statlog Projects, Student Loan Relational, Teaching Assistant Evaluation, Tic-Tac-Toe Endgame, Thyroid Disease, Trains, University, Congressional Voting Records, Water Treatement Plant, Waveform Data Generator, Wine Recognition, Yeast, Zoo, Undocumenteds.

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UCI ZOO-database "" [2].

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Internet : http://ftp.ics.uci.edu/pub/machine-learning-databases/zoo/zoo.names : (: zoo_names.htm) (: zoo_data.htm), .

(: zoo_names.htm):

Zoo Database

        From Richard Forsyth

        Artificial

        7 classes of animals

        17 attributes (besides name), 15 Boolean and 2 numeric-valued

        No missing attribute values

        Ftp Access

1. Title: Zoo database

2. Source Information

-- Creator: Richard Forsyth

-- Donor: Richard S. Forsyth

8 Grosvenor Avenue

Mapperley Park

Nottingham NG3 5DX

0602-621676

-- Date: 5/15/1990

3. Past Usage:

-- None known other than what is shown in Forsyth's PC/BEAGLE User's Guide.

4. Relevant Information:

-- A simple database containing 17 Boolean-valued attributes. The "type"

attribute appears to be the class attribute. Here is a breakdown of

which animals are in which type: (I find it unusual that there are

2 instances of "frog" and one of "girl"!)

Class# Set of animals:

====== ===============================================================

1 (41) aardvark, antelope, bear, boar, buffalo, calf,

cavy, cheetah, deer, dolphin, elephant,

fruitbat, giraffe, girl, goat, gorilla, hamster,

hare, leopard, lion, lynx, mink, mole, mongoose,

opossum, oryx, platypus, polecat, pony,

porpoise, puma, pussycat, raccoon, reindeer,

seal, sealion, squirrel, vampire, vole, wallaby,wolf

2 (20) chicken, crow, dove, duck, flamingo, gull, hawk,

kiwi, lark, ostrich, parakeet, penguin, pheasant,

rhea, skimmer, skua, sparrow, swan, vulture, wren

3 (5) pitviper, seasnake, slowworm, tortoise, tuatara

4 (13) bass, carp, catfish, chub, dogfish, haddock,

herring, pike, piranha, seahorse, sole, stingray, tuna

5 (4) frog, frog, newt, toad

6 (8) flea, gnat, honeybee, housefly, ladybird, moth, termite, wasp

7 (10) clam, crab, crayfish, lobster, octopus,

scorpion, seawasp, slug, starfish, worm

5. Number of Instances: 101

6. Number of Attributes: 18 (animal name, 15 Boolean attributes, 2 numerics)

7. Attribute Information: (name of attribute and type of value domain)

1. animal name: Unique for each instance

2. hair Boolean

3. feathers Boolean

4. eggs Boolean

5. milk Boolean

6. airborne Boolean

7. aquatic Boolean

8. predator Boolean

9. toothed Boolean

10. backbone Boolean

11. breathes Boolean

12. venomous Boolean

13. fins Boolean

14. legs Numeric (set of values: {0,2,4,5,6,8})

15. tail Boolean

16. domestic Boolean

17. catsize Boolean

18. type Numeric (integer values in range [1,7])

8. Missing Attribute Values: None

9. Class Distribution: Given above

(: zoo_data.htm)

aardvark,1,0,0,1,0,0,1,1,1,1,0,0,4,0,0,1,1

antelope,1,0,0,1,0,0,0,1,1,1,0,0,4,1,0,1,1

bass,0,0,1,0,0,1,1,1,1,0,0,1,0,1,0,0,4

bear,1,0,0,1,0,0,1,1,1,1,0,0,4,0,0,1,1

boar,1,0,0,1,0,0,1,1,1,1,0,0,4,1,0,1,1

buffalo,1,0,0,1,0,0,0,1,1,1,0,0,4,1,0,1,1

calf,1,0,0,1,0,0,0,1,1,1,0,0,4,1,1,1,1

carp,0,0,1,0,0,1,0,1,1,0,0,1,0,1,1,0,4

catfish,0,0,1,0,0,1,1,1,1,0,0,1,0,1,0,0,4

cavy,1,0,0,1,0,0,0,1,1,1,0,0,4,0,1,0,1

cheetah,1,0,0,1,0,0,1,1,1,1,0,0,4,1,0,1,1

chicken,0,1,1,0,1,0,0,0,1,1,0,0,2,1,1,0,2

chub,0,0,1,0,0,1,1,1,1,0,0,1,0,1,0,0,4

clam,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,7

crab,0,0,1,0,0,1,1,0,0,0,0,0,4,0,0,0,7

crayfish,0,0,1,0,0,1,1,0,0,0,0,0,6,0,0,0,7

crow,0,1,1,0,1,0,1,0,1,1,0,0,2,1,0,0,2

deer,1,0,0,1,0,0,0,1,1,1,0,0,4,1,0,1,1

dogfish,0,0,1,0,0,1,1,1,1,0,0,1,0,1,0,1,4

dolphin,0,0,0,1,0,1,1,1,1,1,0,1,0,1,0,1,1

dove,0,1,1,0,1,0,0,0,1,1,0,0,2,1,1,0,2

duck,0,1,1,0,1,1,0,0,1,1,0,0,2,1,0,0,2

elephant,1,0,0,1,0,0,0,1,1,1,0,0,4,1,0,1,1

flamingo,0,1,1,0,1,0,0,0,1,1,0,0,2,1,0,1,2

flea,0,0,1,0,0,0,0,0,0,1,0,0,6,0,0,0,6

frog,0,0,1,0,0,1,1,1,1,1,0,0,4,0,0,0,5

frog,0,0,1,0,0,1,1,1,1,1,1,0,4,0,0,0,5

fruitbat,1,0,0,1,1,0,0,1,1,1,0,0,2,1,0,0,1

giraffe,1,0,0,1,0,0,0,1,1,1,0,0,4,1,0,1,1

girl,1,0,0,1,0,0,1,1,1,1,0,0,2,0,1,1,1

gnat,0,0,1,0,1,0,0,0,0,1,0,0,6,0,0,0,6

goat,1,0,0,1,0,0,0,1,1,1,0,0,4,1,1,1,1

gorilla,1,0,0,1,0,0,0,1,1,1,0,0,2,0,0,1,1

gull,0,1,1,0,1,1,1,0,1,1,0,0,2,1,0,0,2

haddock,0,0,1,0,0,1,0,1,1,0,0,1,0,1,0,0,4

hamster,1,0,0,1,0,0,0,1,1,1,0,0,4,1,1,0,1

hare,1,0,0,1,0,0,0,1,1,1,0,0,4,1,0,0,1

hawk,0,1,1,0,1,0,1,0,1,1,0,0,2,1,0,0,2

herring,0,0,1,0,0,1,1,1,1,0,0,1,0,1,0,0,4

honeybee,1,0,1,0,1,0,0,0,0,1,1,0,6,0,1,0,6

housefly,1,0,1,0,1,0,0,0,0,1,0,0,6,0,0,0,6

kiwi,0,1,1,0,0,0,1,0,1,1,0,0,2,1,0,0,2

ladybird,0,0,1,0,1,0,1,0,0,1,0,0,6,0,0,0,6

lark,0,1,1,0,1,0,0,0,1,1,0,0,2,1,0,0,2

leopard,1,0,0,1,0,0,1,1,1,1,0,0,4,1,0,1,1

lion,1,0,0,1,0,0,1,1,1,1,0,0,4,1,0,1,1

lobster,0,0,1,0,0,1,1,0,0,0,0,0,6,0,0,0,7

lynx,1,0,0,1,0,0,1,1,1,1,0,0,4,1,0,1,1

mink,1,0,0,1,0,1,1,1,1,1,0,0,4,1,0,1,1

mole,1,0,0,1,0,0,1,1,1,1,0,0,4,1,0,0,1

mongoose,1,0,0,1,0,0,1,1,1,1,0,0,4,1,0,1,1

moth,1,0,1,0,1,0,0,0,0,1,0,0,6,0,0,0,6

newt,0,0,1,0,0,1,1,1,1,1,0,0,4,1,0,0,5

octopus,0,0,1,0,0,1,1,0,0,0,0,0,8,0,0,1,7

opossum,1,0,0,1,0,0,1,1,1,1,0,0,4,1,0,0,1

oryx,1,0,0,1,0,0,0,1,1,1,0,0,4,1,0,1,1

ostrich,0,1,1,0,0,0,0,0,1,1,0,0,2,1,0,1,2

parakeet,0,1,1,0,1,0,0,0,1,1,0,0,2,1,1,0,2

penguin,0,1,1,0,0,1,1,0,1,1,0,0,2,1,0,1,2

pheasant,0,1,1,0,1,0,0,0,1,1,0,0,2,1,0,0,2

pike,0,0,1,0,0,1,1,1,1,0,0,1,0,1,0,1,4

piranha,0,0,1,0,0,1,1,1,1,0,0,1,0,1,0,0,4

pitviper,0,0,1,0,0,0,1,1,1,1,1,0,0,1,0,0,3

platypus,1,0,1,1,0,1,1,0,1,1,0,0,4,1,0,1,1

polecat,1,0,0,1,0,0,1,1,1,1,0,0,4,1,0,1,1

pony,1,0,0,1,0,0,0,1,1,1,0,0,4,1,1,1,1

porpoise,0,0,0,1,0,1,1,1,1,1,0,1,0,1,0,1,1

puma,1,0,0,1,0,0,1,1,1,1,0,0,4,1,0,1,1

pussycat,1,0,0,1,0,0,1,1,1,1,0,0,4,1,1,1,1

raccoon,1,0,0,1,0,0,1,1,1,1,0,0,4,1,0,1,1

reindeer,1,0,0,1,0,0,0,1,1,1,0,0,4,1,1,1,1

rhea,0,1,1,0,0,0,1,0,1,1,0,0,2,1,0,1,2

scorpion,0,0,0,0,0,0,1,0,0,1,1,0,8,1,0,0,7

seahorse,0,0,1,0,0,1,0,1,1,0,0,1,0,1,0,0,4

seal,1,0,0,1,0,1,1,1,1,1,0,1,0,0,0,1,1

sealion,1,0,0,1,0,1,1,1,1,1,0,1,2,1,0,1,1

seasnake,0,0,0,0,0,1,1,1,1,0,1,0,0,1,0,0,3

seawasp,0,0,1,0,0,1,1,0,0,0,1,0,0,0,0,0,7

skimmer,0,1,1,0,1,1,1,0,1,1,0,0,2,1,0,0,2

skua,0,1,1,0,1,1,1,0,1,1,0,0,2,1,0,0,2

slowworm,0,0,1,0,0,0,1,1,1,1,0,0,0,1,0,0,3

slug,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,7

sole,0,0,1,0,0,1,0,1,1,0,0,1,0,1,0,0,4

sparrow,0,1,1,0,1,0,0,0,1,1,0,0,2,1,0,0,2

squirrel,1,0,0,1,0,0,0,1,1,1,0,0,2,1,0,0,1

starfish,0,0,1,0,0,1,1,0,0,0,0,0,5,0,0,0,7

stingray,0,0,1,0,0,1,1,1,1,0,1,1,0,1,0,1,4

swan,0,1,1,0,1,1,0,0,1,1,0,0,2,1,0,1,2

termite,0,0,1,0,0,0,0,0,0,1,0,0,6,0,0,0,6

toad,0,0,1,0,0,1,0,1,1,1,0,0,4,0,0,0,5

tortoise,0,0,1,0,0,0,0,0,1,1,0,0,4,1,0,1,3

tuatara,0,0,1,0,0,0,1,1,1,1,0,0,4,1,0,0,3

tuna,0,0,1,0,0,1,1,1,1,0,0,1,0,1,0,1,4

vampire,1,0,0,1,1,0,0,1,1,1,0,0,2,1,0,0,1

vole,1,0,0,1,0,0,0,1,1,1,0,0,4,1,0,0,1

vulture,0,1,1,0,1,0,1,0,1,1,0,0,2,1,0,1,2

wallaby,1,0,0,1,0,0,0,1,1,1,0,0,2,1,0,1,1

wasp,1,0,1,0,1,0,0,0,0,1,1,0,6,0,0,0,6

wolf,1,0,0,1,0,0,1,1,1,1,0,0,4,1,0,1,1

worm,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,7

wren,0,1,1,0,1,0,0,0,1,1,0,0,2,1,0,0,2


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2 hair 10 backbone 18 legs-4
3 feathers 11 breathes 19 legs-5
4 eggs 12 venomous 20 legs-6
5 milk 13 fins 21 legs-7
6 airborne 14 legs-0 22 legs-8
7 aquatic 15 legs-1 23 tail
8 predator 16 legs-2 24 domestic
9 toothed 17 legs-3 25 catsize

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********************************************************************************

*** ,

*** DBF-Excel- UCI

*** http://ftp.ics.uci.edu/pub/machine-learning-databases/zoo/zoo.names

*** .., 10/18/04 01:19pm *********************************************

scr23 = SAVESCREEN(0,0,24,79)

SET CURSOR OFF

SET DATE ITALIAN

SET DECIMALS TO 15

SET ESCAPE On

FOR J=0 TO 24

@J,0 SAY REPLICATE(" ",80) COLOR "rg+/N"

NEXT

SHOWTIME(0,60,.F.,"rg+/n",.F.,.F.)

Mess = " === ˠ === "

@2,40-LEN(Mess)/2 SAY Mess COLOR "rg+/rb"

Vid = "Y"

@17, 6 SAY " <Y/N>? #" COLOR "w+/rb"

* 0123456789012345678901234567890123456789012345678901234567890123456789012345678

* 0 10 20 30 40 50 60 70

@17,72 GET Vid PICTURE "X" COLOR "rg+/r"

SET CURSOR ON;READ;SET CURSOR OFF

IF Vid <> "Y" .AND. Vid <> "N"

Vid = "N"

ENDIF

USE Object EXCLUSIVE NEW;ZAP

USE Zoo_data EXCLUSIVE NEW

ArObj := {}

AADD(ArObj,"Š ")

AADD(ArObj,"۠ ")

AADD(ArObj,"?")

AADD(ArObj,"۠ ")

AADD(ArObj,"Š ")

AADD(ArObj,"Š ")

AADD(ArObj,"Š ")

SELECT Zoo_data

DBGOTOP()

DO WHILE .NOT. EOF()

AADD(ArObj,FIELDGET(2))

DBSKIP(1)

ENDDO

SELECT Object

DBGOTOP()

FOR j=1 TO LEN(ArObj)

APPEND BLANK

REPLACE Kod WITH j

REPLACE Name WITH ArObj[j]

NEXT

CLOSE ALL

Mess = " ====== ====== "

USE Prizn EXCLUSIVE NEW

USE Priz_per EXCLUSIVE NEW;ZAP

ArPr := {}

SELECT Prizn

DBGOTOP()

DO WHILE .NOT. EOF()

AADD(ArPr,FIELDGET(2))

DBSKIP(1)

ENDDO

SELECT Priz_per

DBGOTOP()

FOR j=1 TO IF(Vid="Y",LEN(ArPr),25)

APPEND BLANK

REPLACE Kod WITH j

REPLACE Name WITH ArPr[j]

NEXT

@24,0 SAY REPLICATE("-",80) COLOR "rb/n"

CLOSE ALL

Mess = " ============ ============= "

CLOSE ALL

USE Zoo_data EXCLUSIVE NEW

USE ObInfZag EXCLUSIVE NEW;ZAP

USE ObInfKpr EXCLUSIVE NEW;ZAP

N_Rec = RECCOUNT()

DBGOTOP()

@24,0 SAY REPLICATE("-",80) COLOR "rb/n"

SELECT Zoo_data

DBGOTOP()

DO WHILE .NOT. EOF()

ArObj := {}

FOR j=1 TO 2

AADD(ArObj,FIELDGET(j))

NEXT

FOR j=21 TO 22

AADD(ArObj,FIELDGET(j))

NEXT

ArPr := {}

FOR j=3 TO 20

Mv = FIELDGET(j)

IF Mv > 0

IF Vid = "Y"

AADD(ArPr,Mv)

ELSE

IF Mv <= 25

AADD(ArPr,Mv)

ENDIF

ENDIF

ENDIF

NEXT

****** Zoo_data ObInfZag

SELECT ObInfZag

APPEND BLANK

FOR j=1 TO LEN(ArObj)

FIELDPUT(j,ArObj[j])

NEXT

****** Zoo_data ObInfKpr

SELECT ObInfKpr

APPEND BLANK

FIELDPUT(1,ArObj[1])

k=2

FOR j=1 TO LEN(ArPr)

IF k <= 12

FIELDPUT(k++,ArPr[j])

ELSE

APPEND BLANK

FIELDPUT(1,ArObj[1])

k=2

FIELDPUT(k,ArPr[j])

ENDIF

NEXT

SELECT Zoo_data

DBSKIP(1)

ENDDO

RESTSCREEN(0,0,24,79,scr23)

CLOSE ALL

QUIT

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Priz_per.dbf: ( );

ObInfZag.dbf: ( );

ObInfKpr.dbf: ( ).

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==========================================================================

N .. . .

-

==========================================================================

1 aardvark 1 . 1 . 45.153 58.327

2 antelope 1 . 1 . 46.860 72.096

3 bass 4 .......... 4 .......... 69.091 69.802

4 bear 1 . 1 . 45.153 58.327

5 boar 1 . 1 . 46.057 71.045

6 buffalo 1 . 1 . 46.860 72.096

7 calf 1 . 1 . 50.381 79.729

8 carp 4 .......... 4 .......... 56.509 60.908

9 catfish 4 .......... 4 .......... 69.091 69.802

10 cavy 1 . 1 . 44.637 49.336

11 cheetah 1 . 1 . 46.057 71.045

12 chicken 2 ......... 2 ......... 68.532 81.600

13 chub 4 .......... 4 .......... 69.091 69.802

14 clam 3 ߦ 7 Š 39.293 22.460

15 crab 5 ... 7 Š 56.552 56.270

16 crayfish 5 ... 7 Š 31.918 14.669

17 crow 2 ......... 2 ......... 61.940 73.682

18 deer 1 . 1 . 46.860 72.096

19 dogfish 4 .......... 4 .......... 57.215 71.018

20 dolphin 4 .......... 1 . 45.813 59.973

21 dove 2 ......... 2 ......... 68.532 81.600

22 duck 2 ......... 2 ......... 62.602 69.240

23 elephant 1 . 1 . 46.860 72.096

24 flamingo 2 ......... 2 ......... 58.945 78.981

25 flea 6 ..... 6 ..... 57.880 53.753

26 frog 5 ... 5 ... 56.991 58.285

27 frog 5 ... 5 ... 74.297 59.241

28 fruitbat 2 ......... 1 . 29.712 33.413

29 giraffe 1 . 1 . 46.860 72.096

30 girl 1 . 1 . 37.676 59.877

31 gnat 6 ..... 6 ..... 70.170 62.829

32 goat 1 . 1 . 50.381 79.729

33 gorilla 1 . 1 . 34.549 50.131

34 gull 2 ......... 2 ......... 53.136 62.059

35 haddock 4 .......... 4 .......... 72.286 74.190

36 hamster 1 . 1 . 45.203 61.201

37 hare 1 . 1 . 41.787 52.991

38 hawk 2 ......... 2 ......... 61.940 73.682

39 herring 4 .......... 4 .......... 69.091 69.802

40 honeybee 6 ..... 6 ..... 77.866 63.618

41 housefly 6 ..... 6 ..... 68.475 65.459

42 kiwi 2 ......... 2 ......... 45.650 56.201

43 ladybird 6 ..... 6 ..... 46.561 40.244

44 lark 2 ......... 2 ......... 72.585 82.063

45 leopard 1 . 1 . 46.057 71.045

46 lion 1 . 1 . 46.057 71.045

47 lobster 5 ... 7 .... 31.918 14.669

48 lynx 1 . 1 . 46.057 71.045

49 mink 1 . 1 . 37.537 54.433

50 mole 1 . 1 . 40.754 51.203

51 mongoose 1 . 1 . 46.057 71.045

52 moth 6 ..... 6 ..... 68.475 65.459

53 newt 5 ... 5 ... 31.652 34.274

54 octopus 7 .... 7 .... 32.232 37.177

55 opossum 1 . 1 . 40.754 51.203

56 oryx 1 . 1 . 46.860 72.096

57 ostrich 2 ......... 2 ......... 42.539 65.476

58 parakeet 2 ......... 2 ......... 68.532 81.600

59 penguin 2 ......... 2 ......... 25.030 42.429

60 pheasant 2 ......... 2 ......... 72.585 82.063

61 pike 4 .......... 4 .......... 57.215 71.018

62 piranha 4 .......... 4 .......... 69.091 69.802

63 pitviper 3 ߦ 3 ߦ 66.439 56.486

64 platypus 5 ... 1 . 14.210 31.316

65 polecat 1 . 1 . 46.057 71.045

66 pony 1 . 1 . 50.381 79.729

67 porpoise 4 .......... 1 . 45.813 59.973

68 puma 1 . 1 . 46.057 71.045

69 pussycat 1 . 1 . 49.870 80.029

70 raccoon 1 . 1 . 46.057 71.045

71 reindeer 1 . 1 . 50.381 79.729

72 rhea 2 ......... 2 ......... 33.019 56.339

73 scorpion 3 ߦ 7 .... 41.478 34.054

74 seahorse 4 .......... 4 .......... 72.286 74.190

75 seal 4 .......... 1 . 42.257 46.155

76 sealion 1 . 1 . 22.089 34.131

77 seasnake 3 ߦ 3 ߦ 52.601 33.745

78 seawasp 5 ... 7 .... 51.925 13.781

79 skimmer 2 ......... 2 ......... 53.136 62.059

80 skua 2 ......... 2 ......... 53.136 62.059

81 slowworm 3 ߦ 3 ߦ 38.461 37.271

82 slug 4 .......... 4 .......... 32.953 16.992

83 sole 4 .......... 4 .......... 72.286 74.190

84 sparrow 2 ......... 2 ......... 72.585 82.063

85 squirrel 1 . 1 . 29.979 36.725

86 starfish 7 .... 7 .... 48.217 40.232

87 stingray 4 .......... 4 .......... 51.509 40.028

88 swan 2 ......... 2 ......... 50.226 66.336

89 termite 6 ..... 6 ..... 57.880 53.753

90 toad 5 ... 5 ... 56.315 55.604

91 tortoise 5 ... 3 ߦ 0.892 15.775

92 tuatara 3 ߦ 3 ߦ 20.568 22.593

93 tuna 4 .......... 4 .......... 57.215 71.018

94 vampire 2 ......... 1 . 29.712 33.413

95 vole 1 . 1 . 41.787 52.991

96 vulture 2 ......... 2 ......... 49.581 73.319

97 wallaby 1 . 1 . 35.494 57.713

98 wasp 6 ..... 6 ..... 80.325 60.030

99 wolf 1 . 1 . 46.057 71.045

100 worm 4 .......... 7 .... 32.953 16.992

101 wren 2 ......... 2 ......... 72.585 82.063

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1. Lutsenko E.V. Conceptual principles of the sistem (emergent) information theory & its application for the cognitive modelling of the active objects (entities) //2002 IEEE International Conference on Artificial Intelligence System (ICAIS 2002).Computer society, IEEE, Los Alamos, California, Washington-Brussels-Tokyo, p.268269.

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