请问 我现在希望设计海龟死后他的财产可以以一定的比例留给后代。这些海龟如果代表的是穷人则它死后(年龄大预期值)会生出3个孩子,其生前的财产的90%均分给其孩子。若海龟是富裕的,其死后有随机1~2个孩子,财产已70%均分。请问大家如果加到下述程序中怎么实现
$ X4 k) |- w' ^globals
! q# o& d' [( [% o- b2 \[0 H5 F. Y' [. V6 G% n6 t/ d$ k9 Q
max-grain
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]
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patches-own
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grain-here
; [! R+ j8 I) m6 c8 Y max-grain-here
$ Y! L) [2 {$ G) _5 [* H% Z' p; `]( A" G# |% w C" v6 X G* ~& w
- y" b/ f* T# u/ N! I# {* Mturtles-own
9 j: g( Y) U1 q[" D2 K. B( ?2 I/ y w5 U4 M2 t
age
# {3 e5 \, D" ], ]) L wealth ; p6 D" x; I z" n, O* ^( s
life-expectancy % q; r& A% A' \
metabolism ; U& w( V# A* m# j
vision6 b% \2 ]0 m* k: t5 ^1 ]
inherited
8 L( C# U; r) {' Y+ v7 d, f]
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to setup0 Y1 Q5 o* d7 w: b2 u
ca8 B( x2 B+ q& S' {% n
set max-grain 50: s2 ~* ]$ C; S2 i( {! d% t3 t2 _
setup-patches1 s* H0 `& D J( N) n4 C" ? k
setup-turtles
% P: L& I2 }" X* k) {5 L% d setup-plots- V+ w+ Y; b( b- J% U: m" l
update-plots+ }; v; y1 Q K" z+ f# \4 r% }4 o( O# L
end
% T5 T8 X# |' {8 @4 E2 ^to setup-patches$ ~* O5 H6 }! Z: O$ e( [: N
ask patches" K5 k, N8 T6 I) k" M: S: K
[ set max-grain-here 0: v- W: I% K2 k" c% k
if (random-float 100.0) <= percent-best-land
8 ~+ O7 u8 V) v- | [ set max-grain-here max-grain
% L1 @9 v& q& n( `6 I set grain-here max-grain-here ] ]
5 p6 [3 w4 m" i% p2 O% b repeat 5( x3 ^. H1 v- n5 A4 v
[ ask patches with [max-grain-here != 0]+ R' _! Y# g9 U. o; u
[ set grain-here max-grain-here ]+ B3 P# t+ n/ c3 c
diffuse grain-here 0.5 ]
+ u( W: S3 C( T) y: }4 j* S repeat 10
/ g; @& S0 ?; z4 y/ m& A [ diffuse grain-here 0.5]
. _4 Q! h0 z$ B. `; A* E. w ask patches. t- e: g- {. }* a% ?, J" H
[ set grain-here floor grain-here
0 V8 O8 {+ U g7 ]% n! { set max-grain-here grain-here
; c" Q4 H- E/ U y1 g# S& @ recolor-patch ]
9 c$ O- h% C6 wend. S* Q, V+ X- `/ j; F
to recolor-patch
! E: f8 w; p: q2 A set pcolor scale-color sky grain-here 0 max-grain# b- u* Y' D3 s4 ^$ x2 F
end9 Q7 t0 x2 J. a( V
to setup-turtles/ T$ z# j; b4 w
set-default-shape turtles "person"* e: v. b8 u8 D: U
crt num-people! T% g# E% `- `& `1 f4 v6 @$ h' W% i
[ move-to one-of patches - w* C: X" _9 V4 u: _% R# V
set size 1.5
8 ^; s l& I6 R. Q# h set-initial-turtle-vars-age
, i; r+ C( Q, n. b; l set-initial-turtle-vars-wealth( }! U/ D& ?( D4 v
set age random life-expectancy ]
8 s& b6 b7 R2 X& @1 @% i& Z4 _ recolor-turtles
& n6 t5 F M! w* }# Vend
+ r; _* [$ b2 X' m$ O" n p
% o, X; _$ A% a9 t4 q+ g6 kto set-initial-turtle-vars-age
0 k1 b# R' X" E6 j& O let max-wealth max [wealth] of turtles6 \' W3 z, \5 k) Z
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ifelse (wealth <= max-wealth / 3)
+ z/ \( |, ?, a) Y* T8 W3 I [ set color red ! ~2 t5 B! \, _
set age 0
' I6 C" C$ K$ o& F& f+ }$ n0 K- S face one-of neighbors4
2 [8 ^9 f* Q/ O& [* N3 l4 {7 [6 D set life-expectancy life-expectancy-min +' h$ U5 B8 k' j* Q0 q" D( o9 V
random life-expectancy-max
$ M$ `/ D6 X( @ set metabolism random 1 + metabolism-low: B6 w; y4 k# w1 O. L
set wealth metabolism + random 306 ^5 X: n+ C5 f% o/ G7 J+ n d
set vision 1 + random max-vision
' j+ V8 `2 _4 e% M/ B& T set wealth wealth + Wealth-inherited-low ]6 [" }8 D! G& c! K
[ ifelse (wealth <= (max-wealth * 2 / 3))
7 G% U0 a/ v$ p+ m+ n [ set color yellow % F7 J; P0 ?& L& N
set age 0) {) v) G/ l! W8 e1 i* f
face one-of neighbors4 # h! t& o, C3 l! k4 z
set life-expectancy life-expectancy-min +; Y2 w1 L8 U2 N! q4 i
random life-expectancy-max + 16 Q2 m2 Q9 E5 N! A# H
set metabolism 1 + random metabolism-mid
; L" |" y* v! p set wealth metabolism + random 30
8 b( W- f5 ?9 L( T; @% `& u' E set vision 3 + random max-vision
8 |) b* E0 ^9 ^4 t, t2 @$ i% G2 a* G set wealth wealth + Wealth-inherited-mid]# v" q$ L6 A; @+ V! J1 J
[ set color green + ~( W% q$ M7 l& g# \. w- x R% w3 P
set age 0
% E2 T0 i" {) W face one-of neighbors4
0 m V3 D& r" I+ k( k! a; C set life-expectancy life-expectancy-min +. _: d# r& y' k: N4 {2 W, [0 {3 ~
random life-expectancy-max + 2
; W3 ?, z+ t' ?0 j set metabolism 2 + random metabolism-up
" @! r/ ? H$ Y- [. _$ I7 E5 p set wealth metabolism + random 302 Y& t( C1 y7 i1 Z) H/ p! s
set vision 3 + random max-vision
% z \1 V6 I: h7 N9 k1 |3 p) K1 k set wealth wealth + Wealth-inherited-up ] ] 2 o2 E) H3 a" d* {* U
* }. ]/ |; p7 T
end
|! }. n" a3 s1 ]' g8 C3 ?7 [to set-initial-turtle-vars-wealth: @+ K( z7 W/ T
let max-wealth max [wealth] of turtles
+ a) h, D. t) Z; P: r! a" E# Z, d set age 0
( ]/ ?8 O/ I) w5 L* W1 _+ o face one-of neighbors4 6 C$ w1 L7 ~" S5 ]
set life-expectancy life-expectancy-min +
# O: {: }6 n! w% o7 k6 X7 V, r random life-expectancy-max 5 S/ K4 d) ^- }$ y, _
set metabolism 1 + random metabolism-up2 ?$ `4 P, x) \ m+ U5 m; r1 `# g8 f
set wealth metabolism + random 30
/ s V o5 G* e& C: r+ K set vision 1 + random max-vision . T" V& n' U5 l" l, L
end# f/ | Z# p! F, a# G1 E8 o+ a0 Q
to redistribution0 x! S$ U5 m" u% W
let max-wealth max [wealth] of turtles
' s7 u& @$ {! q# q; W* h! l& h8 U+ jlet min-wealth min [wealth] of turtles
9 Z6 k; ?. R" B$ ^1 m Jif (wealth <= max-wealth / 3)* Z- j5 v2 ~& V2 [, l- Q
[set wealth wealth + Low-income-protection ]6 q8 }0 s2 o# _% ~) E4 d
end
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to recolor-turtles
$ j9 ?/ G4 u8 U0 O7 e let max-wealth max [wealth] of turtles
& v0 x2 }' {; g X* v# T ask turtles
$ z6 W! V, Y" }( E3 x- D" ` [ ifelse (wealth <= max-wealth / 3)
b G, M9 A4 |# }3 T. e' e# } [ set color red ]
2 T5 h4 }; ]7 d9 G [ ifelse (wealth <= (max-wealth * 2 / 3))9 N# `; P: }! ^4 f5 y, r: U0 B
[ set color yellow ]
# X0 @3 g( [5 [& k0 Z7 q; N [ set color green ] ] ]
+ y: q9 a0 s. g+ _( O+ R ask turtles [ifelse show-wealth?
/ i+ S3 ^+ L! Z; B ~, n% b, K [ set label wealth ]
! o+ x% k/ v0 [" i s [ set label "" ]]
! y$ F U! s% Iend" C2 u" Y5 n8 W; I U. q, J9 A, i4 }
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to go
W- v* H x7 d. E- a# I ask turtles
6 }- a+ n) j* Z7 K, [ O8 S [ turn-towards-grain ] 9 a( W$ w( K2 \7 j- N ]0 R
harvest
2 t0 r' s3 j. @- Y# T: b- A ask turtles
8 }1 q- C0 ]6 L9 I- { [ move-eat-age-die ]* Z0 y" G- d! r0 ^; z9 W* E
recolor-turtles& x1 h" t( H" E0 F" q
if ticks mod grain-growth-interval = 0
1 d+ v7 l( n( ? [ ask patches [ grow-grain ] ]
# T8 ~$ g8 P- r7 \: i }/ r9 Z. ? : K$ v$ |+ [5 ^8 i3 r
if ticks mod 11 = 02 Q' E* G, Z$ @5 r, L1 y: ~3 K
[ask turtles4 O/ Z4 R' X# a
[ redistribution ]]
# J k8 J: K& R$ j1 q if ticks mod 5 = 0
+ d& m, l3 f1 S3 F/ t" g. j9 A [ask turtles) s( }* y5 F8 i
[ visions ]]
- X7 {* Q5 a7 l& M; Z; }6 c/ ^+ c tick; p# V% q+ U6 e: X0 e' d1 a
update-plots
' ~" P \9 J1 v+ U' xend+ C' o' v: L" O5 B0 Y8 l
to visions+ m% k7 f3 e4 t
set vision vision + 1 2 O$ ?9 I1 l5 ^2 N& d7 c
end& _4 |* O0 ~- v" y6 f. F
4 y8 e6 J( Z2 L' H4 l7 h& I$ L$ f" L% V' A" l' Z
' B' e$ C5 a# ~% \* ^to turn-towards-grain ' s( L- Z( [' c+ k1 W
set heading 05 i( F3 f A$ I, a Y
let best-direction 0
V4 q. h6 r6 y0 @ R) {) m let best-amount grain-ahead2 l: v( {) n4 R8 k# r6 L& ~) H/ O
set heading 90& W! u0 j7 g) J2 @# X
if (grain-ahead > best-amount)
) O8 F( ~3 T6 @" I1 h- t% Q [ set best-direction 90
' W) r" b- A, X2 a" | set best-amount grain-ahead ]
" Q y8 }( G% j* A1 `7 y set heading 1803 a+ I5 W5 P- c* O
if (grain-ahead > best-amount)( D2 G3 O r a! @- E
[ set best-direction 180
- @! u% V9 O6 M. @+ e7 W set best-amount grain-ahead ]5 o) ^( r, O4 _* ?5 ~8 o* K
set heading 270
! c% L8 p/ X6 ^+ N: R if (grain-ahead > best-amount)
7 d7 r6 t/ y7 L( y" H3 O1 r0 ?4 T [ set best-direction 270
2 l1 H8 ^. {. C' d+ H set best-amount grain-ahead ]
* |( D0 O0 J( v/ z) U set heading best-direction
; E' Q8 o6 Y; K Z) w. F2 {end
8 `, h0 h( _- V- G1 L
+ d. q$ {6 l& y5 C2 c
* h& j" `/ b, Wto-report grain-ahead 5 ^! P, ]4 q) T
let total 0
9 n6 u+ @# S2 | let how-far 1
5 {0 B' A% y* s8 c& m0 X; g repeat vision; _! Z; W' D( C% e% H" o# L
[ set total total + [grain-here] of patch-ahead how-far' h+ R H1 t% I
set how-far how-far + 1 ]
. j% U1 W/ E. l report total
2 r1 \$ C5 N3 gend
# T2 M. C0 Q$ {$ X$ o! o9 p: ~/ n/ H/ v, U
to grow-grain
7 W( }1 B0 V. K3 H2 w/ p9 E. W; Q if (grain-here < max-grain-here)
; W4 I5 @, F/ v# [% f) j [ set grain-here grain-here + num-grain-grown- L+ i2 [" Q2 i0 [" i6 X0 F
if (grain-here > max-grain-here) " Z" @4 \. s, y- c2 F' }
[ set grain-here max-grain-here ]. f5 j- r$ U% h3 b& [7 {) G# d
recolor-patch ]
& Y6 T- p9 z# Z$ cend
. a& r7 \- L+ A; {to harvest
6 V! f2 h3 A" t; R ask turtles
8 t4 a* n6 t$ c. b, m2 q4 V$ R } [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]/ M& C% f, G6 P' a8 Z
ask turtles) y" C9 Y9 f# ^! A4 d
[ set grain-here 0% P! k Z3 `" x" ]
recolor-patch ]
. E8 l! i5 `, `
5 q* p3 p( A! \end
3 B: n: ]& m# c# R% t
* _/ F/ Z- h" `9 j- Yto move-eat-age-die " k" K4 s& ~0 k+ B8 [
fd 1
. U; L. I0 M4 s, o set wealth (wealth - metabolism)3 v5 S, e7 F( }( B$ Q! o
set age (age + 1)7 y6 I! R' N8 s+ c, O& W
if (age >= life-expectancy)
' _2 d1 W8 L$ m* N [ set-initial-turtle-vars-age ]0 N4 X6 q- @ [
if (wealth < 0)
; Q* Q$ y% I- c( d" P [ set-initial-turtle-vars-wealth ]
( L% {, {2 M: h" N/ I 3 b" r: s1 o, l! |2 i% k x {) v0 @
end) O/ M3 b4 M- ]! L
1 ?$ I$ C& b" o# a4 S& N. d: A) R# b+ H' i2 T. I! G1 {! F7 v1 O. d
to setup-plots
' P, t7 Y0 q- d0 t. S( Z set-current-plot "Class Plot"1 ]: ? h9 R$ \# n. F5 Y
set-plot-y-range 0 num-people0 }+ b( {/ Y. V# A/ h2 a, F- I
set-current-plot "Class Histogram"( y' D/ ^0 i7 @
set-plot-y-range 0 num-people
: `- q0 n- \5 v7 a1 Zend
1 @! G. |% E( Q+ Y% G$ H7 {0 O
" c z# {, {9 M2 `to update-plots
P( t# x! [: u8 ^3 t6 V" r; T7 g& p update-class-plot
5 b; L! t2 j6 h; a9 s# H update-class-histogram
2 t, q( ~% _7 K X$ V( K \, B update-lorenz-and-gini-plots
L0 K4 x1 w1 P; Nend
- }6 h+ {; r% e+ ~2 U9 P& X1 i5 [, {$ d0 p7 m% M
to update-class-plot
8 p, M; v# A+ l- ^$ @ set-current-plot "Class Plot"; D4 ~% H2 B8 i0 }+ {" h0 s0 K
set-current-plot-pen "low"
% i* w+ ~( V2 S plot count turtles with [color = red]6 Z0 U( q% z( O# G
set-current-plot-pen "mid" k) ^% H% @ m* ~ t& a; j
plot count turtles with [color = yellow]
9 O$ T) g, t' x0 p* {7 a set-current-plot-pen "up"* g: {+ A2 c( \- n% e! @
plot count turtles with [color = green]
; V4 ?3 V* [7 Q" [7 E. D' Uend
1 Y- E& B& m" D0 }2 K7 k& ^" V% C5 V. V7 E4 T- B: i
to update-class-histogram
7 z% _' K: A. a! O. Z2 H set-current-plot "Class Histogram", F* Y. p& e' q. W
plot-pen-reset- |: r+ ]; e/ Y2 t& m
set-plot-pen-color red
% M" P* k2 {" {2 |' p# u) q plot count turtles with [color = red]
. K( B4 [- y. l* p6 ?5 \ set-plot-pen-color yellow$ v Z- X& f# `$ c
plot count turtles with [color = yellow]
. a9 _) m5 Z) r) |3 e7 H+ _& }6 R set-plot-pen-color green
$ y% H7 }* V7 V! D. x plot count turtles with [color = green]
9 C; y) Z" p2 @& z' O2 n$ mend
1 v; b' F# _! Zto update-lorenz-and-gini-plots
1 S# ]2 [1 V; u. `* v9 n; g: T set-current-plot "Lorenz Curve"6 k0 q( X1 g; D% V/ L& a
clear-plot
% T! U8 k5 S: ~
' D7 V8 M2 t) k, Z1 Y: z3 A5 X set-current-plot-pen "equal"2 g9 y0 I i# g: {( k
plot 0: A3 n, b# u- D; c3 i
plot 100
. `' j- c! \! r! n1 j; t) N
; Z8 z; @0 i& o3 x& ~* X. _ set-current-plot-pen "lorenz"
/ o4 h {9 E0 C set-plot-pen-interval 100 / num-people
0 Z- Z; o- g* o7 E, D6 K) \6 S plot 0
8 Y5 @5 P! F' T" X" o7 }6 Z% [3 C9 e
let sorted-wealths sort [wealth] of turtles
1 n% M$ P4 s# T let total-wealth sum sorted-wealths& z( ^/ G$ ] n$ u
let wealth-sum-so-far 03 q7 c. n: f* R# B% ^
let index 0; W o& k7 [* y; q
let gini-index-reserve 0" Z% G% G9 y, @% l2 p" T. N3 A
3 o. H1 L4 \; F; t8 I; ]; D repeat num-people [
1 i& \$ ]# {) Z7 B V set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
* x0 y% ?1 {* B# c) t# j% \8 o% f plot (wealth-sum-so-far / total-wealth) * 1005 x. r* [% a9 S. P( w2 P. U% w
set index (index + 1)
- E ^- _- {9 |5 ^4 Z: Y set gini-index-reserve
5 f) \0 b, u& I2 R$ X7 n3 Q gini-index-reserve +
$ E$ n/ j4 j3 T (index / num-people) -
, M5 V% l* [" B0 m6 M3 R; [6 p# h (wealth-sum-so-far / total-wealth)
1 A/ U7 F ?/ ^* f ] w# n8 Z7 r, T( p9 x7 z8 N
' B4 n7 V( R: x set-current-plot "Gini-Index v. Time"
4 e( [+ I# s# I K3 } plot (gini-index-reserve / num-people) / area-of-equality-triangle1 Q* @9 s" w# Y6 w
end
( K3 B; a( m8 R5 [4 f6 q) Oto-report area-of-equality-triangle7 S; ^( s0 K5 A( Z1 e
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
) q% Z" ^% M& u- s' w# zend |