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
# b5 c# p, Q+ n1 sglobals( h$ I$ |" F* i8 X4 }2 \- ?
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max-grain
9 z) d+ Z7 Y4 W; f. G6 k! a. n0 m/ n. ^, P. w9 |! F
]/ L, [) J( M+ d" B7 C% l! S
" p x& a5 D' R# u1 Wpatches-own: [- F7 p* N+ i( W
[
! q% w! d$ I6 f3 s6 z grain-here / A9 o3 ?6 }* r0 E% o& B, u' c; ?) p
max-grain-here 3 o7 q# I0 y. V8 } F: s
]
H5 Z% m5 [- A) r( x1 [* Y$ X: ^) d
turtles-own7 n2 d0 N! O2 f8 r
[
5 j5 e% n, m) E) {; X* C/ k$ p age ' O+ @0 s) F9 W& P
wealth . [; A! q8 L7 p- A& L) e) M# w
life-expectancy 6 z9 R( L$ P, { G) l u+ h
metabolism
: U; [, w( B+ t( o( g' ?+ f vision! J! T% i* T G, J d0 K
inherited
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to setup, V0 W. D! p, c
ca
" M) x6 @: t- r' C set max-grain 50
+ ^; r V. c; a9 ^: M+ U! h setup-patches! m4 A9 R: z$ a# s9 J8 A
setup-turtles. }2 ?* @# C y) \% n9 s T( L
setup-plots' u/ n6 h1 [5 z9 b, @, s% i1 F
update-plots4 f0 Z% |) d+ i' L9 N t
end
& U, W0 k! n. O$ d! Kto setup-patches
) G' ~$ u" h2 P u9 D ask patches- Y3 C7 r" h# N! d8 _
[ set max-grain-here 0! Y; @( {/ H3 e
if (random-float 100.0) <= percent-best-land) G/ z3 u" C; X
[ set max-grain-here max-grain
0 Q% y5 e- H5 o5 x% _- W set grain-here max-grain-here ] ]3 j: i+ N: s) B7 J
repeat 58 B- v2 V4 L) A0 l3 j8 I% K$ z* L) {' `
[ ask patches with [max-grain-here != 0]
' N' V* N8 H5 J: Q7 I' K: P8 @" {5 I [ set grain-here max-grain-here ]% r; o2 L4 s! K6 n% j
diffuse grain-here 0.5 ]. C8 a; b8 c& p8 {: H1 ~9 v
repeat 10
: h5 d5 @* \/ @6 e [ diffuse grain-here 0.5]
% s! w7 }9 }& D7 v) P H$ a* g* P ask patches
6 U+ U1 B- y% O: z [ set grain-here floor grain-here
( p% d2 [. w. z& H$ P- R% v& K set max-grain-here grain-here
t5 V# {! ^& ` recolor-patch ], m5 b( k0 C7 y5 Y ~* p4 d
end
: K0 }. j2 b5 l% x! _6 pto recolor-patch ! e9 w' j- W; b# n4 ], u
set pcolor scale-color sky grain-here 0 max-grain. T" H1 n/ s: L" `5 ]
end. b+ J- o# a# T9 e Q; @
to setup-turtles
4 U ]6 u# Y# a0 k5 n set-default-shape turtles "person"
& ^1 Y: {( b- H) S. o* T/ x% D crt num-people
6 D- t% j/ M% N7 m [ move-to one-of patches
; ^4 F( m; A. j set size 1.5 7 o( J6 ^" X: C7 X% Y! H- l
set-initial-turtle-vars-age: V* h7 y. @% @: ^/ q8 @! R
set-initial-turtle-vars-wealth$ t" [$ A7 z2 l' z
set age random life-expectancy ]# g; a9 Q' B. @) t0 c" g# t
recolor-turtles
* K2 ]/ f# o9 ~/ y9 }/ i' T) F, @end
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to set-initial-turtle-vars-age
/ D* S# A, D R' t let max-wealth max [wealth] of turtles. {7 ]& M! V( M* `) |
$ I( N9 u M2 o( _$ m { ifelse (wealth <= max-wealth / 3)
4 ?; u* \$ l) |! g- M8 L [ set color red 5 k7 O# ~6 {) z* f: g6 `+ ]4 M
set age 08 G1 a# r i/ R6 H1 @- a7 d& ~, ]
face one-of neighbors4 ) w3 w1 m0 f g9 i
set life-expectancy life-expectancy-min +
# ?) Z6 S5 T+ j. L random life-expectancy-max 7 ~; K: S; o/ [% M* u3 {, h* b: o2 l
set metabolism random 1 + metabolism-low5 ]3 m8 w# G4 ~* @7 X
set wealth metabolism + random 30
( A* q5 `5 F5 q, E, h8 _9 | set vision 1 + random max-vision
" Z" ?: h: |5 a set wealth wealth + Wealth-inherited-low ]& h- x1 j4 N+ ~3 R, n T
[ ifelse (wealth <= (max-wealth * 2 / 3))$ l* ~' K' J' ~- L, x. P
[ set color yellow $ n% ?% ]5 \0 {- P4 K i% E
set age 0' t3 w6 q& Y3 _0 s6 P0 l
face one-of neighbors4
; H! G5 e" k* h set life-expectancy life-expectancy-min +
2 ]+ t. g: a; S random life-expectancy-max + 1
8 a1 }; K# e0 Z% {' K3 b3 j7 J' f5 D set metabolism 1 + random metabolism-mid
3 }: c( S1 {7 ~7 _ set wealth metabolism + random 30. H R& X4 N8 q# m. R) s, F V
set vision 3 + random max-vision9 r+ s' S0 d% c" Y: f
set wealth wealth + Wealth-inherited-mid], s9 _+ i/ T7 k1 B1 b. `: `! x
[ set color green
# z0 ~( |2 D+ L2 o, j) D set age 01 s3 g: q" }8 @/ r. ]
face one-of neighbors4 6 \0 }; x* f6 o/ H
set life-expectancy life-expectancy-min +
, T4 H% h1 }' F6 T random life-expectancy-max + 24 Y8 |: Y9 |* ^) M; w9 @7 ]
set metabolism 2 + random metabolism-up. X- |; b1 ?4 Z/ I6 W
set wealth metabolism + random 300 V' x3 {3 u% H9 t R4 h
set vision 3 + random max-vision" t% T9 C& E: z* `7 a) G- C
set wealth wealth + Wealth-inherited-up ] ]
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end0 X( B1 C; f9 B4 u) y8 Z0 H# P6 R
to set-initial-turtle-vars-wealth
" N) ~7 \* T* F' _/ a q& P let max-wealth max [wealth] of turtles% e# M, Y) G; l- t2 }9 Z# Y
set age 0
8 D, D7 T7 G* G5 o% I# d; A face one-of neighbors4
5 Y, @; ]9 ?. P: \ R: t; R set life-expectancy life-expectancy-min ++ b. Z( ^( k0 c- Z4 t
random life-expectancy-max 7 X {9 \- [: S3 M+ z2 `
set metabolism 1 + random metabolism-up- x; n- k1 V8 `1 p% z2 |* t
set wealth metabolism + random 30
1 S" {* b) q" B' y* u% ^& t3 e set vision 1 + random max-vision . `% P) |3 l% Z
end G8 D8 A/ B- V, \
to redistribution
9 g: {! {/ K. b: S; alet max-wealth max [wealth] of turtles" z* T7 w) v' c0 ]; _, _
let min-wealth min [wealth] of turtles
; {- a o) j- \4 g1 } Aif (wealth <= max-wealth / 3)
0 m+ D# V$ a* ~# u7 l [set wealth wealth + Low-income-protection ]" ]2 T8 G6 {) t2 R' u2 _
end
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to recolor-turtles
) u3 I' @ x [7 D( J, G6 b5 P let max-wealth max [wealth] of turtles; d. L+ W3 \* s: K8 `
ask turtles
6 @/ m4 R* Q+ U5 M& k( Z" ` [ ifelse (wealth <= max-wealth / 3)4 |6 o; X" a% t7 K
[ set color red ]
E1 D3 A( E! ~6 a$ K0 X- b5 W [ ifelse (wealth <= (max-wealth * 2 / 3))8 F5 f4 F3 K2 K- L8 j# y k
[ set color yellow ]
# Z7 K% u8 R( K+ S# w9 X; `: n [ set color green ] ] ]$ J2 M7 D9 q# [) P' Z# `
ask turtles [ifelse show-wealth?/ W3 X) x8 e# [8 E
[ set label wealth ]' s/ a5 C5 `5 |$ x; D- Q
[ set label "" ]]
- t- U- X5 j W/ ~8 s$ z' [3 E' `end
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3 r7 U- ~0 z, Cto go" H7 b# n2 Q% I0 p
ask turtles
/ P; @0 `0 T0 a. Q9 p6 x [ turn-towards-grain ] , p% H) d/ D) L9 C1 E
harvest$ D5 o8 i- L* N1 Y
ask turtles* l( W' F$ v# g3 ^1 n: O
[ move-eat-age-die ]
9 g: t% _7 s; d$ k4 {8 r/ F6 _+ O9 j recolor-turtles1 p! e9 h9 W0 w/ s, u8 n
if ticks mod grain-growth-interval = 0' b4 V6 z3 W( D
[ ask patches [ grow-grain ] ]6 v$ c4 F+ A7 ?5 [9 W# D
% w6 q3 ?5 m0 A" _9 p if ticks mod 11 = 0" }( u8 p8 h5 n' k* _+ a
[ask turtles
' Y' b* ~8 j5 b, S3 h* a [ redistribution ]]0 L6 t* \4 x& j3 |( X, W9 V
if ticks mod 5 = 0* e8 c0 N- n- z8 A- _4 h8 J0 z
[ask turtles# i' r, n% x/ {7 U$ f
[ visions ]]
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update-plots
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to visions
) k( O P \2 v% S: r set vision vision + 1 " ~( n$ _" L, C2 M: t, r
end
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( z- D1 P: S+ c' [$ I4 ^' P7 F5 S0 ^5 @7 v! ]7 j$ T6 ]
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to turn-towards-grain
% D# }; ^2 {* ~ set heading 08 y: \/ t8 y7 }
let best-direction 0
; C. t' x& v! `) @% B/ y5 F let best-amount grain-ahead! u# G6 e) H7 _( P
set heading 90. n0 E+ S2 Y6 `# f" K- I
if (grain-ahead > best-amount)
6 `8 ^9 U9 ?1 q! O/ |3 A) Y [ set best-direction 90- ^! X* @3 \7 z) J
set best-amount grain-ahead ]! n+ k( W- q6 h9 |8 H6 F7 i
set heading 1801 ]) j0 ], L" @) d
if (grain-ahead > best-amount)' e E. P: _: D% M( j
[ set best-direction 180! t h; d& c4 H
set best-amount grain-ahead ]8 m& l! [, }! W B5 D% |
set heading 270
5 r( O- k1 [; _1 Y if (grain-ahead > best-amount)
- p4 c% m7 P, t$ I- A. C [ set best-direction 270
7 d* V: X( C5 @! s set best-amount grain-ahead ]
$ C5 d7 [- }! D. _4 \5 \+ n9 F9 z' O8 E set heading best-direction
/ m& a3 } D+ H+ k; K2 R( Lend
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: ]# H! M: o% v) U# o. b! J
to-report grain-ahead ( s1 b, S5 U z0 l$ b
let total 06 a! B, U3 |( g+ O' o; J( W
let how-far 17 Z7 U) d2 E8 ^9 X% ]# Q
repeat vision
4 V" L( n. `; `1 ^ [ set total total + [grain-here] of patch-ahead how-far
. W+ V- j& }% u) g. a0 u3 a set how-far how-far + 1 ]
2 [9 |/ u6 q' o* C9 Z* F# ? report total
1 F% `# B$ D5 Z% O, a( d2 _; W( Dend2 R& ^+ T/ j c$ Y9 V+ o
! @7 t, d# \3 |* X1 A# hto grow-grain
) ~4 ^$ M! j( t if (grain-here < max-grain-here)$ I# _ k9 I. G' \( L: H
[ set grain-here grain-here + num-grain-grown" z; s# N7 M' [7 S
if (grain-here > max-grain-here)
, J! L1 P/ V+ v5 w5 s [ set grain-here max-grain-here ]
) @# Z3 A d/ m9 U; J/ D4 ` recolor-patch ]( C' ^# O$ W/ j3 y' d0 {; n
end
8 a9 _0 w1 E3 H+ V; P0 c. |" }to harvest
. k# o5 x& h# _: N6 z3 p ask turtles
0 E4 D. M* L( f+ I, a [ set wealth floor (wealth + (grain-here / (count turtles-here))) ] E" U7 a, p1 s- R1 |1 C$ v0 O
ask turtles/ L0 F/ V! q% O/ V
[ set grain-here 0 N) S/ [/ c* U. ?* \ @
recolor-patch ]
* l. v+ E# e( a) O- ]
( B V! D$ `8 M" zend
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# t0 q% g" t5 `/ v) h) lto move-eat-age-die
2 Q# i3 z1 Q" O7 K0 R fd 18 D! z0 F8 G F9 o$ j" ~- r% e
set wealth (wealth - metabolism)2 Z$ p7 k, b: k6 Q7 r
set age (age + 1)
4 g0 _4 _# G% C# E% @& R+ `0 p+ x if (age >= life-expectancy)
4 H8 r+ M+ q5 I) Y( p, G' j [ set-initial-turtle-vars-age ]" V# M+ j5 h0 [5 z7 H
if (wealth < 0)
$ n0 C6 E: f& U [ set-initial-turtle-vars-wealth ]
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5 {" c! P' w, q: Send$ m6 x% u, H" p; m
6 ]. y/ Q a4 _8 V. C2 d
2 {2 _: Z! l& |+ g- Ito setup-plots
7 H- W6 \& d" t- `* u set-current-plot "Class Plot"9 k; Q: W( n8 U4 i; T* F: Y
set-plot-y-range 0 num-people
. g( `. M! y* p0 d ^ set-current-plot "Class Histogram"
; E& k' m" y) D' F% K: O9 I set-plot-y-range 0 num-people" J# p2 P$ t$ ^1 z3 F- T
end
3 n6 P/ m1 g+ v! S$ d8 f
, @) ^5 D- w7 p, U' q% s0 C$ Q$ ito update-plots8 {* H' }7 L! K K1 p
update-class-plot
8 F9 g4 j# @; ?1 R3 o update-class-histogram
2 ^, a: ^3 b" z2 S* q update-lorenz-and-gini-plots
" x* V6 Q K* @: R/ ]end
" ]5 v1 D+ f, b) e$ ]8 V5 H R3 [3 n0 @$ i) E5 ?% y- g4 a
to update-class-plot( w; a; q% m0 W6 v
set-current-plot "Class Plot"/ I. U1 O( s8 W8 f/ J B/ q
set-current-plot-pen "low"
5 m2 P. n- A9 b. _' Q plot count turtles with [color = red]3 V& M5 ^' C4 A. W* R# l- Z2 U
set-current-plot-pen "mid"! x, j J- {/ O! Q. Z% _6 n
plot count turtles with [color = yellow]
7 V+ Y$ I i5 b: Q% W- E+ U set-current-plot-pen "up"
( Q0 o p2 A: s% i plot count turtles with [color = green]* W2 s6 e: F& O9 ~) {
end
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to update-class-histogram
& a8 K/ O/ O( u7 t* u# V3 M* I set-current-plot "Class Histogram"9 x0 }1 ?3 O) V/ U
plot-pen-reset; _* N5 q+ B: V$ h
set-plot-pen-color red
7 Q* ~+ A- r. x* J5 F! R7 s E plot count turtles with [color = red]
0 T& _$ J6 G. J! ]0 r0 i& h( \6 T set-plot-pen-color yellow: A. P! C# T( W: |% i- ]2 M m
plot count turtles with [color = yellow]; l% o$ s9 h& R) e7 r
set-plot-pen-color green& N) r+ T7 D5 l- F% }) d" L
plot count turtles with [color = green]. y; v$ d. V$ X1 }5 z
end
( @6 P% @" H+ B" T7 p: ito update-lorenz-and-gini-plots- O; x9 z5 u+ C7 B% D: I/ Z5 A
set-current-plot "Lorenz Curve"- v& F3 g' l4 H3 X' }' q
clear-plot
0 C9 M5 P2 _4 s( E. l0 ?
& s- F+ ]. C5 M) V8 X7 U& l# |( V set-current-plot-pen "equal"
" T5 Z7 \) I5 M: g. J* u& l$ {5 Q plot 03 U1 v' t3 ^6 c' m% U2 O
plot 100
" {- Q" U; V0 b2 d: @% Z
" k- K0 c7 a# e: P$ |+ } set-current-plot-pen "lorenz"
8 E* f7 `1 c3 B$ c& }/ U* o0 e set-plot-pen-interval 100 / num-people# o3 }+ O. _: p% c' z
plot 0
2 u' k x2 }1 S7 p9 s
8 ]9 X( k% n p9 | let sorted-wealths sort [wealth] of turtles2 B4 x" c% ^6 H8 h+ E3 x' @( f& _
let total-wealth sum sorted-wealths
: o2 x; c8 \, d' J, g let wealth-sum-so-far 0
. n3 j5 ^1 O# X' Y( V! t3 a Z let index 08 T) E7 }- j; v/ m3 f& A
let gini-index-reserve 0
5 X$ b' ~- \1 d
, a7 z) Q8 u e( }1 `) q repeat num-people [
: `* \; q1 z5 X5 X set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)9 H" z8 z/ ^4 C% }" j+ e F( A
plot (wealth-sum-so-far / total-wealth) * 100
9 v) I0 v' x1 v% I1 S set index (index + 1)/ X% m+ a }) `- e$ q( `
set gini-index-reserve
" J+ i9 P. N! J) v# S gini-index-reserve +* Q( L0 Z5 K! u! H8 G% s# k
(index / num-people) -( V5 J, U$ X; r7 z
(wealth-sum-so-far / total-wealth)
" d9 h( s6 A# S" A' I) q ]
7 T% M) D/ P0 j' q4 T: k+ }) J S, `) F: ^7 n
set-current-plot "Gini-Index v. Time"
8 g5 n& B- h* s' e+ u }8 V0 q' Y plot (gini-index-reserve / num-people) / area-of-equality-triangle
& M# r% x! p) {% Pend( `" h$ m) U' _4 L8 \" {
to-report area-of-equality-triangle
1 p/ l: E p0 h0 K) L$ @3 |, ^ report (num-people * (num-people - 1) / 2) / (num-people ^ 2): V# f6 Q7 v6 K& O/ V c1 A; a. b
end |