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! @; a, y7 [5 ^
globals
7 Y5 B, _- V8 S1 P! @[5 s) o: w9 G2 w: f5 w& D$ m" k% p
max-grain
* G( q; I8 _2 I; n: l: I1 D6 W# q- O) ?) ?
]9 l0 C) w b+ h! @
" L& R, Q1 S) p3 O$ p6 c5 Upatches-own0 \9 I; F; l- v* ~ \
[
5 ?$ b- s. U4 }2 J grain-here
7 j! |4 S5 }! i# ?- _ max-grain-here
: J) ?9 `# g7 M0 O" s0 |]
8 X( i3 A+ D. U1 r. S- ]' m6 h4 ]+ Y; [' G Y; u m. b( o5 k) V! G2 b1 ^
turtles-own
& `- I" A5 A6 R) V[ [1 [" g7 b7 D h
age 9 j/ f1 ]# G( l/ K3 Y, o: v
wealth 9 j1 F% V1 |7 F( U: `" h
life-expectancy . A& g2 Z; {9 i! B
metabolism
+ A$ o4 {8 ^% O' B- ?# b vision$ x( K4 g0 F, a9 ^5 L5 b2 W
inherited : f" t0 w9 Q. x8 P2 Q1 v/ Y: Z. S
]9 Q& s( H- |' W
+ o+ N# |$ U/ T, p! L
- Z1 O7 k- s/ n' J( a# `+ Yto setup2 r9 r+ L( g, c3 p4 M7 m
ca
; R( U G4 B! R8 e/ k set max-grain 507 \$ ?0 U) y; x! n C0 z6 a
setup-patches
% i% ]# U+ w* ?' v setup-turtles
3 T% j5 N) S8 b7 { setup-plots6 [- @' Q% c0 w5 W1 k
update-plots
" C+ f1 d, j" M0 ]4 Tend/ e, q1 l! @) [6 \1 v) B
to setup-patches
! B9 h* H. ~" C# \# w ask patches
! d; i! o# O8 z8 X* S% @) [2 O [ set max-grain-here 0
( n, I, \4 g' k' h9 h if (random-float 100.0) <= percent-best-land% Q2 Z0 h* U* K4 g. |
[ set max-grain-here max-grain
5 D% t+ n1 s- ]" D: S9 b" H3 G: g, G7 w set grain-here max-grain-here ] ]
- _6 O, x3 ]* u* F* x repeat 5
! J6 Y/ t. `9 o4 l4 r [ ask patches with [max-grain-here != 0]8 `/ {6 O2 ?% @( ^% P' I# j
[ set grain-here max-grain-here ]8 T% r' ^7 i! u: m+ w- J
diffuse grain-here 0.5 ]9 p8 B% b3 f) ] T& v8 P
repeat 103 D" e% x4 b" b# _
[ diffuse grain-here 0.5]
3 i0 E1 P" w0 g/ `+ n) s ask patches9 e R" R5 Q$ |# s. R0 L
[ set grain-here floor grain-here
. k) ^+ H# z8 g set max-grain-here grain-here
! A0 R+ n- Z* Z1 U9 o, E recolor-patch ]% _8 @* l) U- K, q1 n
end
- D, _( c2 g! `: D5 M) `to recolor-patch
/ k, C4 R6 K" v# k8 k set pcolor scale-color sky grain-here 0 max-grain0 L" R# q7 X8 b" j6 G* e
end
, O6 {) V+ R( k- ~+ w+ }1 F1 x4 ?to setup-turtles
/ Z; F$ @2 j4 L" i$ ~ set-default-shape turtles "person"8 u6 _- p; }3 W' S% \1 A6 b4 h
crt num-people! B* j: }0 x; X
[ move-to one-of patches % ^7 N0 t8 j z' M; h$ b2 a' p
set size 1.5 ( _7 j: U# T% W/ z- H' z' \
set-initial-turtle-vars-age: d: M7 H# ?/ Z
set-initial-turtle-vars-wealth
2 }5 h5 M# s+ m- h6 j* v set age random life-expectancy ]+ S* u& Q1 M, {
recolor-turtles+ ]8 P6 c3 f+ F4 I$ M8 S9 i7 r
end
* X, G* A- ]/ }6 Z! x, y$ e& q ?* u
to set-initial-turtle-vars-age5 X! H# \' E; `$ V. p% L/ A
let max-wealth max [wealth] of turtles
2 l& f2 S+ o( d: b; X
5 [" x+ }4 K( R- h" U1 v6 ] ifelse (wealth <= max-wealth / 3)
& H5 `, p( C% y) f [ set color red : p: v2 L2 N; e
set age 0( l0 o5 W! I" N& [. b8 g
face one-of neighbors4 : Y3 m; W. Z1 U) h
set life-expectancy life-expectancy-min +
# r! g6 y+ g0 G( w$ z4 T random life-expectancy-max 9 D6 L. ^( M9 @6 @( t
set metabolism random 1 + metabolism-low5 b7 g1 r8 j# y7 Q6 T7 q
set wealth metabolism + random 30
. y. H2 h9 q" ~ set vision 1 + random max-vision* i/ z1 i5 L7 {& k' o2 }
set wealth wealth + Wealth-inherited-low ]
9 y3 G/ z t# ^& c, U- h; W( m [ ifelse (wealth <= (max-wealth * 2 / 3))
5 H" Q# t( W9 w$ _! } [ set color yellow & R( ^9 O/ W* E+ G/ P
set age 0
5 H0 S) L5 g2 ~" w face one-of neighbors4 $ U" M: ^& ?- o. ~) a/ v% u
set life-expectancy life-expectancy-min +
; ]% \ I$ {* B4 U random life-expectancy-max + 1( E- ]: O7 ^7 o/ r
set metabolism 1 + random metabolism-mid
" m0 H M- a9 n: h3 ]2 O set wealth metabolism + random 30
0 t f4 b$ W5 X% V set vision 3 + random max-vision
6 Q8 _0 x4 z4 S2 {0 f( q4 p set wealth wealth + Wealth-inherited-mid]7 M; z3 T) b3 d. m
[ set color green . D- P5 Q" p/ l$ p
set age 0* K# x# \6 t) Y2 N; |2 G n. B! x
face one-of neighbors4
7 H# t' H( y3 V f1 @ S set life-expectancy life-expectancy-min +
. n5 A4 M, E2 y" L random life-expectancy-max + 2
2 |8 g" p/ B! h# D6 s* f set metabolism 2 + random metabolism-up
4 ~/ K. m7 K6 r4 _0 d set wealth metabolism + random 30
" L9 U, z, V1 j u set vision 3 + random max-vision1 z0 I$ m# `% C& p$ I. U2 F
set wealth wealth + Wealth-inherited-up ] ] 5 R2 X ~( H5 d% g; F& ^. t) U$ W d
2 o3 y8 k5 f. T: i' e7 F4 h2 ^end
% n8 W6 Z0 y7 _5 }to set-initial-turtle-vars-wealth
]3 Y, j/ c% l- Y; `1 C3 b let max-wealth max [wealth] of turtles
3 D. N2 e4 F* ^ G; o7 X set age 0" L5 d9 k2 ]9 ?; Y: J8 I
face one-of neighbors4 * Y( P, N9 P |) I! c% a) c
set life-expectancy life-expectancy-min +; u6 b# a& t1 {& B
random life-expectancy-max 1 {2 j- G# O( e& ^
set metabolism 1 + random metabolism-up: [" L: t9 r& {' X5 q
set wealth metabolism + random 30
/ b! Z) ]9 K C$ ?- |$ Y* u set vision 1 + random max-vision 4 A G; c. W0 d( W+ |; Z; S4 z
end
$ U, f% n# Y# z/ Ato redistribution/ {# F! j4 Z: M U& q
let max-wealth max [wealth] of turtles& x$ f1 I% I$ Q0 y4 ]
let min-wealth min [wealth] of turtles8 B/ `6 y- g/ R/ U
if (wealth <= max-wealth / 3)% f" l9 \+ W3 {
[set wealth wealth + Low-income-protection ]
3 Y3 f' ~+ L d( n ~; O% ?end, M0 E( w9 A- _/ h- z
$ s0 S1 |* X0 A: v9 S, u5 j
to recolor-turtles
# ?- Y" }# P# Z; [3 X5 A let max-wealth max [wealth] of turtles4 f' x: Y8 M% H" ]: h
ask turtles9 R( b1 ]5 _. w) u3 ?% w6 V5 ]
[ ifelse (wealth <= max-wealth / 3)) ~* I; a2 v9 [# R: q1 d
[ set color red ] q+ ^' g; Y% z( V, z$ w; a: ?+ |
[ ifelse (wealth <= (max-wealth * 2 / 3))1 V% G2 O& n/ { i
[ set color yellow ]
6 y o2 Y1 i5 L" o0 o [ set color green ] ] ]
2 \6 C1 q) ?3 S( y7 U) s4 }. _ ask turtles [ifelse show-wealth?
9 g) |# ]# y/ Y; c [ set label wealth ]' S& ]( w3 s2 ]' B
[ set label "" ]]
# Z9 z' L& E0 A! g) b0 Zend
( y9 e$ r. [, l1 n% b
" |; ^$ w* T7 d q6 Q; _8 H# Uto go5 V- H' Z: ]1 ^2 t _
ask turtles+ B ?) z$ o9 N' p
[ turn-towards-grain ] 3 k4 {* H9 J: h( K( _2 k
harvest% u! Z* `" b2 M; D+ d: _/ d
ask turtles* X4 Q; Y' T* {+ @$ S; h
[ move-eat-age-die ]. R/ O7 ? s F( [4 W- u. i
recolor-turtles" {. ?7 f& L2 ~
if ticks mod grain-growth-interval = 07 p! {4 G* l4 Y$ t
[ ask patches [ grow-grain ] ]/ {! H- A. c$ n& w# s, q
& Z9 r2 h; a: b. o
if ticks mod 11 = 0) k3 |4 T. t! m- h8 S2 o
[ask turtles4 S$ {, I# p; c5 P/ s$ A9 `
[ redistribution ]]% H* L) S; P+ R
if ticks mod 5 = 0! J& R ?# g, P9 Z* |4 x) u1 f; A
[ask turtles' b" e5 r! r9 H
[ visions ]]/ p7 Q' U9 Z7 {( a
tick
# S# e- B. J# r& ~3 V3 e% { update-plots
- a0 I: w: Z2 f @1 @" Z) F) w. dend
( y5 p( K, B8 L6 H; a/ L' p; Nto visions
& x. c4 r! ^! R set vision vision + 1 6 [- [. c1 W' H3 m [* q
end
. l$ O+ h6 r3 u- p9 s3 K- c+ I
6 P+ [ O0 C( |
/ a; A5 o/ T) }5 gto turn-towards-grain $ n; W5 i+ i1 O: Q0 D6 ^% _
set heading 0/ R1 n6 y# x: `9 ~; a) ^! v& L
let best-direction 0! P3 w* `% A6 \" a2 g1 ~- ~
let best-amount grain-ahead
, Q- u0 j" x1 _4 i4 u set heading 903 C# S8 [ r* a; o7 y' S
if (grain-ahead > best-amount)
$ \4 L3 s* B1 w: ^0 f' P [ set best-direction 90
& r. M8 |% @9 w. n- T set best-amount grain-ahead ]
& X2 Y5 ?% l( }+ s' X; E0 q set heading 180% c/ S+ i, O; ?5 s# {2 Y: H
if (grain-ahead > best-amount)7 P) I) V6 j: N# W; `5 ]
[ set best-direction 180
# |2 C( Q+ u: ]) o* v( G( [ set best-amount grain-ahead ]8 q$ S5 \; \, h9 r4 y: z, G6 ?
set heading 270
0 Y( T. _$ S" s8 w if (grain-ahead > best-amount)6 Y' @5 c, d; N t" r% O
[ set best-direction 2706 N/ R* a. D' r% @2 c. V
set best-amount grain-ahead ]* G, H, L3 w& Q& _/ r
set heading best-direction+ Q6 }9 C- [# P" d! z. ^- t* `* j9 F
end
9 d# M( ]' l, T( I: w" f- u8 _2 R- `8 {- g* l% Z# [
: s A/ I" J9 e3 K$ a* c2 F
to-report grain-ahead
/ A+ }) a6 ]" | D$ A+ `4 |8 p let total 0
# _; _9 A$ e( s: _# }) J let how-far 14 y5 i. e$ J' r5 |( C
repeat vision: w2 u1 \# Q1 n! Z+ l4 ?
[ set total total + [grain-here] of patch-ahead how-far( {, T7 Y& `" O& \
set how-far how-far + 1 ]: U n9 w: a6 M6 j2 T- V& F R
report total" d6 l7 F$ c% D8 G9 s- H
end3 s9 {4 a/ m D
/ o3 ]2 @* J! X: y x: C$ E$ [
to grow-grain 3 | p4 G/ x, x* k
if (grain-here < max-grain-here): ?: {% _- X! l( p0 \
[ set grain-here grain-here + num-grain-grown
; Q7 S2 t" v5 X5 D: C if (grain-here > max-grain-here)
$ w, M, J9 Q3 ? [ set grain-here max-grain-here ]
/ H* s: k9 m5 N recolor-patch ]6 @+ e& D! k z, l9 Q
end
$ [( i3 J8 X5 Q% z$ A0 Ito harvest
( g& P. F) d8 i6 [, W1 Z* h ask turtles3 k8 x s' ~ } Y3 L
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]. x0 @6 F1 p( _: _" [6 A& {: R
ask turtles, ]& e9 E7 ~+ S/ `, H+ S: J6 K4 X
[ set grain-here 0# K, i& A# ]% I0 ]9 G, |1 {
recolor-patch ]
: _% U0 G; w; \8 `1 e! Y! P % V% |- [+ v) S; w
end
# [9 w) J& f8 _' z9 d) m7 W" k/ o; t8 d4 g! W* x
to move-eat-age-die
2 P7 B: [7 M7 V$ j( D- f9 ?! ]$ Z fd 18 q P+ j$ r" C& y+ G
set wealth (wealth - metabolism)
i" u) v! `; Y9 c% E$ N! [+ @ set age (age + 1)0 }% Z- z- [$ i! G5 ~# @3 o8 T
if (age >= life-expectancy)
* [6 v5 F, c2 `# m/ O [ set-initial-turtle-vars-age ]% A# L- P( p% ?* H
if (wealth < 0)2 N' ?/ r5 b& S- _& E# ]
[ set-initial-turtle-vars-wealth ]8 ?1 z4 }0 H: G. J( D' s
: d- a4 ^: e ]! Z4 e8 kend- N/ A& c" ?* m- K
5 d% E7 b j- F/ Y1 `% u* x3 r7 H; ]6 u6 W7 h6 k% B# O1 |) C& g6 T
to setup-plots% |7 _' D! |) e4 C, V6 P% [& o8 j
set-current-plot "Class Plot"
8 U9 F; I. |$ Q: |7 e0 o set-plot-y-range 0 num-people1 ~0 d+ W5 U; l0 J5 V
set-current-plot "Class Histogram"4 H$ S, c! d! q' ~8 x5 g
set-plot-y-range 0 num-people
K5 L/ U; G; Z: ~( T1 x. f! _end
3 m% z: E' p4 G" x5 X8 N
* I4 R% {0 J9 Nto update-plots
/ O2 I% c3 A( k o) L update-class-plot
, l" a8 q8 E; x( z `/ [ update-class-histogram1 b- o0 O/ S' `$ E( M
update-lorenz-and-gini-plots
2 I8 j* d- r4 y0 M8 tend# \: h# J& ~$ t/ ~- ]
7 ?, c0 a" K Y7 Q& Y, ?1 _to update-class-plot4 R7 F* V T1 ~$ l
set-current-plot "Class Plot", T% v f# y! ]; ]' B
set-current-plot-pen "low"" r' p4 o/ n5 r; [; T2 j9 T. f6 { y
plot count turtles with [color = red]
4 i: N" h! X7 a/ p! V# E set-current-plot-pen "mid"
2 M2 q- s/ c$ M: G5 [ plot count turtles with [color = yellow]8 b! C% s# j7 ^! v+ |3 v6 u% U$ x
set-current-plot-pen "up"+ E6 ?/ J( K: ^0 R: {
plot count turtles with [color = green]
$ F# d$ B5 U6 H3 S, B; R, f! Wend) L% O1 ~# J7 K/ j4 n
" B4 _* d0 m( `# \/ ^! d
to update-class-histogram" ^5 G( P+ o2 A0 @/ d6 Q
set-current-plot "Class Histogram"4 Q- @( J) r9 r* `( {! G" C
plot-pen-reset5 S8 v0 V% ~9 ~' k, e* j
set-plot-pen-color red, S% q$ O l4 P7 D: U
plot count turtles with [color = red]% j' S: V7 |! |' a9 {# l4 |
set-plot-pen-color yellow1 Q' Q8 w' L) V: ^; A
plot count turtles with [color = yellow]
0 A8 {6 {5 R" Z* f% V8 c. U A set-plot-pen-color green7 I1 q# {1 a( [8 K
plot count turtles with [color = green]% U$ u" v) D6 a" |
end) |5 w' Z6 r9 y J- H) o
to update-lorenz-and-gini-plots
( E' p* e4 a* Z, l" B1 h set-current-plot "Lorenz Curve"
0 S7 j! z6 b3 A- f clear-plot
0 J* S# K1 b/ E) H
, }' x% w% a- r+ Z: d3 _ set-current-plot-pen "equal" `4 P: ^) A: Z, a
plot 0
- b8 t, f8 w7 Y; V9 P- y plot 100
0 n# u/ [8 Y q' _, M4 W5 ~) V- V$ O" P. b
set-current-plot-pen "lorenz"
) @! ]$ e/ `4 I% |. F& u7 Z/ j1 v set-plot-pen-interval 100 / num-people
- b1 |; P5 N5 h. ^5 H plot 0
, J! j. g1 M& t+ m6 o! M1 w/ k3 h% n; v5 T4 L+ D
let sorted-wealths sort [wealth] of turtles( z( @% Y6 l- @& q
let total-wealth sum sorted-wealths
m w4 J, O, ?: w6 J8 P5 y let wealth-sum-so-far 0
5 s# x( B% p$ P' D let index 0 g. E3 h+ X; w7 I: c! m5 v7 c
let gini-index-reserve 01 g$ Q u/ s% G% s
( @; [+ ^ c! r1 @: K+ U) ` repeat num-people [$ y2 @8 M! p/ W/ R
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
2 ?$ ]6 ~, W) Y. M6 c6 |% o plot (wealth-sum-so-far / total-wealth) * 100
) Y' |& D0 B6 j2 E% n set index (index + 1)
: k4 a1 \3 R) @' `) H set gini-index-reserve+ _; a# T6 x! @5 b; i
gini-index-reserve +
# x4 G$ w& v9 l5 b0 ^& c (index / num-people) -
( O6 \% g a, M3 x5 O, F (wealth-sum-so-far / total-wealth)) D6 \* }* P a0 z) j. M
]
5 ?1 i5 F8 G' O2 O; L
- q4 M! `: g9 c$ V set-current-plot "Gini-Index v. Time"4 A' K" D0 n! s; S
plot (gini-index-reserve / num-people) / area-of-equality-triangle9 A8 d3 r" [# X3 O6 U |5 x
end/ r- ^. W: ~ @$ P% i% P: d
to-report area-of-equality-triangle( `4 I) n( E6 e( ?$ o
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
, m0 m5 x( c" iend |