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
% Z/ O' V1 y6 _/ N* }/ @7 zglobals0 @7 K. |+ X" Q; E4 Q( v" F
[% Z5 V' s4 e; [8 h$ u
max-grain 3 B: \1 L: H+ w
4 s2 X0 q: r2 a$ k+ x k: |]
0 L( f2 w' J6 W4 K! z* p" V- B0 F% {" ]7 J0 ^
patches-own# ~& q8 V) k- i
[ G9 o# s* [# V, B8 y# F( i
grain-here R* Y/ f; N" {; Z
max-grain-here 9 A7 i/ r" Z; y& ]
]. c0 o6 {/ v& U! A: L* w }
1 W* N4 A9 `! a/ J9 q& bturtles-own
" ~$ j. l3 K4 Y" B[
3 E5 d# `( n0 W5 Z age " K. j' G+ }. |# \* K
wealth ' `. s; Q( `: b
life-expectancy 2 x# l% I& J, U" p- I
metabolism
1 M1 P. d/ E8 V2 ? vision
- f7 J6 x) [. t4 p0 r1 A( ~ inherited
/ z4 a- ?# T& s3 x! c) J]: _. [, q- I' B
+ }% m. U3 R' o/ w" f! P6 [8 ^$ ]* z: l" P C
to setup
1 s. g K& b* w% a p ca
# n& A1 v6 M' N3 |; Y$ j! d- [ set max-grain 50- N7 i& l! f: [
setup-patches
$ u: T7 e# o4 L' |0 A setup-turtles H) k7 f. ?( J3 {
setup-plots" l& s2 f; u4 O) `$ n
update-plots
3 n; B, O2 ^, L* ^( H: ]" G' dend
, o; ?* m: K. H Fto setup-patches
9 z# ~$ a4 N# V& g) n$ ~6 x ask patches" t0 g0 e. t( S0 |5 w
[ set max-grain-here 04 ]" J; L# i" J" d9 H. j: k
if (random-float 100.0) <= percent-best-land3 M0 k) D) a1 c$ K
[ set max-grain-here max-grain
3 ?! g9 E: z! ~6 O) D0 Z- o set grain-here max-grain-here ] ]: k2 ^% A4 s- O+ l
repeat 5$ I- F( J( V* W6 M4 R' [4 [
[ ask patches with [max-grain-here != 0]( U7 K# X) q# N3 w0 G$ r' C- U2 G8 L
[ set grain-here max-grain-here ]
9 S* L' n9 I9 r% x! f% i/ [ diffuse grain-here 0.5 ]+ R# C4 F& S+ E
repeat 10
: Z1 ^; a: ^+ u9 Q$ ?: q. Z" q [ diffuse grain-here 0.5] ; x6 O/ J, O! d* j0 ~
ask patches% H+ ^8 I @- k; N4 T7 K
[ set grain-here floor grain-here
7 U' ] ?5 a, n7 v1 k! C set max-grain-here grain-here + `/ j: c) r: b+ T. Y0 b* b3 G
recolor-patch ]1 Y$ j! N1 {; M7 y; ^0 @) h7 x2 P
end
7 `- b, v4 p; g# j8 lto recolor-patch 0 p, z: Y; b: K: @9 L% Q8 F
set pcolor scale-color sky grain-here 0 max-grain
' z3 z/ O) j5 B" gend+ T, c) [2 n7 R2 M- |& `
to setup-turtles# {; f5 }: e. J) r. }: y1 t/ k
set-default-shape turtles "person". ?" q& ]1 k$ z% Q2 Q! s
crt num-people! y9 q6 {! H$ W: T' \ ~* R' `
[ move-to one-of patches
/ V$ {& J" R7 n% y5 n9 N" u set size 1.5
- I" Q5 o9 O9 A2 K set-initial-turtle-vars-age* z5 [- E/ n6 `/ F0 a! @
set-initial-turtle-vars-wealth
6 @8 E3 b* p6 q& c set age random life-expectancy ]% k* E, S) t' p* R% M) O
recolor-turtles
1 }: q9 r& @- f+ Lend! b9 o! |# u; Q( S& `# f* b
: ?7 b P, y, D! N: y7 u
to set-initial-turtle-vars-age: s" ~( O% Z/ f" V* G
let max-wealth max [wealth] of turtles
' ^! |/ b' q, r3 G! Q* l) V ( D- ~/ m; d. ?8 c S3 p2 K T
ifelse (wealth <= max-wealth / 3)8 c% o' ] z6 s
[ set color red $ X/ _) H, P1 e- C
set age 0
4 @8 w; d: t! M5 a face one-of neighbors4
n: B- h# @4 e$ B6 g set life-expectancy life-expectancy-min +; q$ Q1 ]) N3 }6 k# D; y! h9 _+ S
random life-expectancy-max
) P( t1 m! K! e set metabolism random 1 + metabolism-low: O& r% u# C9 n
set wealth metabolism + random 30
; k& m& q' _' A5 k: F9 Y. Q5 r set vision 1 + random max-vision
, `) ?" G# W- q: f3 j set wealth wealth + Wealth-inherited-low ]$ m! g+ o- U Y+ o: |
[ ifelse (wealth <= (max-wealth * 2 / 3))" [, }% v( H: l1 o. [, v- v
[ set color yellow
1 o% h! O+ n6 ~# O3 e8 S% e- w* S set age 0
& K6 p. e% J4 \% _: ^ face one-of neighbors4 - Z0 g" H2 g9 Y7 T8 _/ L$ y
set life-expectancy life-expectancy-min +
r3 h2 r2 j( U1 J! t! ^; C random life-expectancy-max + 1, j( v4 A) i, b5 {
set metabolism 1 + random metabolism-mid
, U0 l& B2 G: h! F4 p set wealth metabolism + random 30' z A! [* U; l2 k
set vision 3 + random max-vision8 T: I! V# S6 ^9 O! `# E
set wealth wealth + Wealth-inherited-mid]- B4 ?: @% g# g5 J% E# J4 U) U
[ set color green
2 p7 I3 T- m" \2 F set age 0 u- c6 U% W! P1 p
face one-of neighbors4 & m+ c& O! e+ h$ B; Q
set life-expectancy life-expectancy-min +
' K% [7 h& m( Q3 }' E" E; h random life-expectancy-max + 2
7 ?! G, M( e6 L set metabolism 2 + random metabolism-up9 g9 V. z4 _4 X6 _, Y; X0 x
set wealth metabolism + random 30
8 m* R0 m9 V* T# D; t) s! n% e set vision 3 + random max-vision
# _$ Z; L' g' b! ~& j8 p8 m set wealth wealth + Wealth-inherited-up ] ]
# q7 d( i; n& _7 u) x" \
5 }" @- n1 U( u- ^8 Uend+ t8 _% L( v9 e" F& J/ a' [5 J/ F
to set-initial-turtle-vars-wealth) o8 O3 i, X B
let max-wealth max [wealth] of turtles
9 f: e% d6 ?2 U, V- g set age 0
8 K) R# d' Y+ G# l face one-of neighbors4 A. b7 l9 P; U, l0 Q* @$ Z
set life-expectancy life-expectancy-min +
. N) @" g! }, X5 v2 w% w0 L8 C random life-expectancy-max # }4 ^2 X) n2 n* ?' I7 A0 b
set metabolism 1 + random metabolism-up& i9 R2 A6 \' `
set wealth metabolism + random 30
4 A; i* h* {* g* {# [: M set vision 1 + random max-vision
5 u6 u! n7 Z( V: D1 J5 o* Rend% e0 x/ O) B- \7 {" ]
to redistribution
" J& W, K) _& D. J$ d; [7 x- t+ Tlet max-wealth max [wealth] of turtles4 p% _* D% [/ {
let min-wealth min [wealth] of turtles' E+ L3 z2 V2 @& j
if (wealth <= max-wealth / 3)/ X! l! V: a5 h# [* _& T
[set wealth wealth + Low-income-protection ]
5 Q4 X# k" ]# G# }/ fend
y3 n' J: k y/ i6 `- S ! N& M! h; r! ~! u
to recolor-turtles1 ^* R0 M; S! h0 F
let max-wealth max [wealth] of turtles
8 C4 ^- G/ l$ G2 f ask turtles
$ [9 H; D/ v* @: ` [ ifelse (wealth <= max-wealth / 3)' @, U: k3 c F4 F* D* e
[ set color red ]
: O0 H3 s; H8 i$ k: N# h' I [ ifelse (wealth <= (max-wealth * 2 / 3))
% }6 Z* E3 c8 b# x; r* I2 _ [ set color yellow ]( r" L% q: z; h+ T* z1 x/ z* X
[ set color green ] ] ]* v/ \* a6 Y/ v( S1 ?" d
ask turtles [ifelse show-wealth?$ H) k2 }( I: y0 U s; M" u
[ set label wealth ]
$ z8 y' h% e3 k [ set label "" ]]
8 w3 E7 H4 {# v: rend9 K/ N9 Z/ N+ |) y
3 o* X' c3 t9 j2 lto go
! z/ [ [+ L/ M ask turtles" Q( l& _; q6 ^
[ turn-towards-grain ]
9 `1 A1 ~1 {5 C/ W5 q- Z, y& y4 T2 m harvest
2 `; U. a$ ^0 U/ a' z ask turtles
/ C' {/ J: b9 Z- ~, W, W [ move-eat-age-die ]
2 C5 r1 `/ a. M! z6 I recolor-turtles
( A9 s4 A1 H9 }; V* G if ticks mod grain-growth-interval = 0, q2 l9 r6 Y# n9 u( c& R' e
[ ask patches [ grow-grain ] ]
% {. I7 e4 d- k' X# ^ 2 C; c, z) E2 X+ X/ E1 {
if ticks mod 11 = 0
9 B! N7 z# h( K [ask turtles
5 s- [7 j2 e8 [+ e% j& [ [ redistribution ]], \: Q- L& F5 B
if ticks mod 5 = 0
/ N, L) t' x7 D W3 _/ w [ask turtles
4 o8 a) U6 H9 o/ D! i8 i2 W [ visions ]]9 D% E; b) D1 r P
tick
, T+ B6 E" Z3 r! n# o1 R% k+ N update-plots
8 ^7 U8 H) ^& _) b. c* C' c, Aend) {% E! a" W% @3 i7 r6 [4 ]: B
to visions2 ^7 D( O7 I" m3 O* q N" ^ |' |
set vision vision + 1
; X* X: Z# F z* q7 ~# bend
& V: d) j% _& O3 X0 o
; K$ M7 k3 w% I) t! @) V1 U) X3 P3 l% U) t( l# U# {. X
9 J0 {0 x; J, U' [" Pto turn-towards-grain
; z8 n5 `1 M, f9 q6 |8 x set heading 03 ?! U8 V) U0 Z
let best-direction 0
9 T0 G6 r( X) x# c) C+ G9 K let best-amount grain-ahead
9 I. U. [9 f9 i' ^ set heading 90- w _5 f8 B5 ~+ o9 E. Y
if (grain-ahead > best-amount)) z: t" c$ \4 Z; x
[ set best-direction 90
# v; ?5 N6 ?4 k set best-amount grain-ahead ]2 a; N: w. v5 M4 Q) V' {2 R. C: I$ }
set heading 180
$ A& e, X! c2 v' L' n+ ~ if (grain-ahead > best-amount)* r5 ?1 n4 p- O* r9 C4 ]$ B( C
[ set best-direction 180
& q& I7 X& m g+ r% w: Z set best-amount grain-ahead ]
3 s" }4 {/ H) W y E set heading 270
# X3 h8 @3 n5 H1 T8 h( c- \ if (grain-ahead > best-amount)$ [' @8 P4 J( ~' Z- c
[ set best-direction 270
: \& Z) q# M5 s5 [ R$ | set best-amount grain-ahead ]! G! j* a/ Z9 Z6 Q4 `, j/ s$ ~
set heading best-direction
! Y+ v& l! c! h* e. eend
7 L: u- W0 w6 T6 `$ N. L
& L! O4 n: T) h2 m& Y" U
0 c4 F( r! Q, `5 C5 A7 eto-report grain-ahead
& c4 L8 p2 O# t let total 03 X) D# n% h( t1 A& V ?0 p2 V
let how-far 1
4 w& k% B% t' D# P repeat vision* X; E4 u- W, v7 t
[ set total total + [grain-here] of patch-ahead how-far2 x# B" t/ w7 N, M5 q
set how-far how-far + 1 ]# A- ~- H8 |6 w
report total
! a& ]1 j6 S8 T0 ?- Cend0 R( k: |( g. x- t
2 }) N( }7 Y4 W9 C8 U
to grow-grain
1 d' o' V( |2 J% w if (grain-here < max-grain-here)
$ [0 d/ P, `0 ^, }+ O C, M [ set grain-here grain-here + num-grain-grown) w' r5 s9 h1 o: ?
if (grain-here > max-grain-here) " j# M( ~( f4 [1 U" F3 b
[ set grain-here max-grain-here ]
. r; ~" P8 D4 k* M" k$ K5 b2 z0 E recolor-patch ]- a* s0 y" c2 t, E0 h
end
0 a9 V* `( _7 r! F; j6 Y" xto harvest: x7 \% [8 Y, r6 O, _1 q; z
ask turtles
. Q6 P: W" w7 a* f+ W0 |5 k, u [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
I# g1 Y1 K+ B1 ]$ s) C" F( S5 H7 c: ? ask turtles) a; O: m! |! v' }6 B$ `7 ?
[ set grain-here 0. c/ J0 f$ {3 I) ], H3 V5 Y
recolor-patch ]
* c8 g% Y$ Y$ f: W2 q2 T5 p2 ~
' a# m7 {2 h8 }! F1 M% v& k4 Jend
) K4 G+ ?/ i( o' C0 u! D
, e- l1 g9 A2 e! n: w' sto move-eat-age-die
3 d9 K8 u/ ?( e% L- O fd 10 f( T3 b4 A; [) z
set wealth (wealth - metabolism)
+ O5 I* j& x! _9 U6 E set age (age + 1)
+ x1 J; y Z/ T* P7 [' [$ ^' @ if (age >= life-expectancy)
e) { H0 w U% F. ~2 T) P' J9 G [ set-initial-turtle-vars-age ]
- j# g8 R+ c1 A6 v2 z if (wealth < 0)
. ~" O( j+ _/ e' Y. S [ set-initial-turtle-vars-wealth ]
% a, P. |! R2 h+ e- [! c6 p, {
5 m% o& N. K% wend
# r7 b4 x* Y& B: S9 g/ b! @+ u2 u* H; J- i2 Z/ O! q' |
. _5 _) F' E3 g+ `to setup-plots
) Z. ^1 h* O; d- v3 F/ x ^ set-current-plot "Class Plot"
$ F- q P* ^" Z3 z set-plot-y-range 0 num-people0 s4 } T0 A8 S' l
set-current-plot "Class Histogram") r4 e' }. o# x$ S) W" S
set-plot-y-range 0 num-people) d- b9 t9 I+ Z; y. m7 B
end
; A6 O- w$ F' _$ o1 Y# B8 n6 |
: B7 |9 g' m; mto update-plots
3 g$ H0 \9 a4 m. J4 s6 ]1 j update-class-plot3 o6 V' O1 k0 Y! s
update-class-histogram) J# E+ h/ Z2 A: X$ U* m
update-lorenz-and-gini-plots6 s7 L( c6 x! j
end
9 r0 a0 F w- V9 v# u! v2 v
6 b* K. Q! z( [( Q8 nto update-class-plot6 M( g4 S8 s N
set-current-plot "Class Plot"
3 c: V7 B8 }7 M' @ set-current-plot-pen "low"
" e- d! ]7 j* H8 O# l. O plot count turtles with [color = red]
1 X- @3 R! i! }. Z. P: x/ l, n( u set-current-plot-pen "mid"
9 v7 `" W: E- Q/ @) r plot count turtles with [color = yellow], B% R5 d2 L% O1 X* R9 j8 L
set-current-plot-pen "up"
& o9 X/ p- j7 V$ x plot count turtles with [color = green]
9 P P* }/ u2 nend% R- T# ]! d) {: F" x6 d
/ {8 ?, |$ G7 N3 t' j! a. Ito update-class-histogram' J* d! I% p5 H/ c. B/ m) l& [
set-current-plot "Class Histogram"9 o2 {, o2 f) Q) {; w2 r q9 |
plot-pen-reset
$ S$ G6 i; }( W! y2 C8 j8 M: p! c" q set-plot-pen-color red
& E8 Z- f* O; l plot count turtles with [color = red]
- I2 Y; k: l v; W& B set-plot-pen-color yellow+ j0 r: ^8 i3 a$ A1 [
plot count turtles with [color = yellow]
% s" K w4 ?- Q, | set-plot-pen-color green" i0 F0 {4 B* @5 k
plot count turtles with [color = green]
( b# ?" u( g. T) Uend
: s+ _$ b0 t/ p* n& Ito update-lorenz-and-gini-plots Z3 C6 K; ^+ _8 D3 r! k) K5 J( F
set-current-plot "Lorenz Curve"* a7 i; {8 Y( ^7 S, P* \. S
clear-plot
2 ~8 T0 D- D2 X$ _" x
# E+ i" N+ }" Q! L1 ?4 x h set-current-plot-pen "equal"
- Z, Y/ B( J* G8 I plot 0
) a0 l" G+ L* z plot 100
( h% n8 R2 h8 k
1 ]( w5 v6 ^/ Q( `% I8 m set-current-plot-pen "lorenz"+ L. d) g, Z5 w* x$ K
set-plot-pen-interval 100 / num-people
) P" N7 T7 m4 C% R2 L, W plot 0
: S; A$ Q$ z" A+ q9 J3 q( ~! f7 E# B) O3 z4 B9 V8 Q
let sorted-wealths sort [wealth] of turtles* N4 X4 P, H' J+ W, f( d9 a
let total-wealth sum sorted-wealths
( @. H1 O7 { D5 |% p6 b8 U8 {& d' p let wealth-sum-so-far 09 f, u. E; g ?& y
let index 05 d+ y& Y( ^: S* a' B6 |
let gini-index-reserve 0* K5 Y5 T- S# F- q) h# b1 w/ Z
/ t% ]- Z% A% ?. r3 W6 W3 K" c repeat num-people [
3 R) S8 X0 F# w set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths): J+ B, W" b M8 i. z U* U
plot (wealth-sum-so-far / total-wealth) * 100
9 n h5 z0 @" ~( v3 s! {1 p set index (index + 1)
; d2 [7 }7 l) ~" P) f3 A! ] set gini-index-reserve: ^$ H% Y0 M' n/ g4 P- e
gini-index-reserve +8 x2 R$ [4 b0 Q- S0 n/ |; z# j
(index / num-people) -
9 p, l1 G3 ~# K1 ]/ z% r (wealth-sum-so-far / total-wealth)! ^' R" M4 Y4 e" n( C
]3 ?" `2 Q1 k7 ]# q' A9 E$ ~
* B# ]' ?- S Q set-current-plot "Gini-Index v. Time"+ B5 T% i9 E: j( e1 i0 f2 Y
plot (gini-index-reserve / num-people) / area-of-equality-triangle
( C4 k: A+ ^- a. b8 w; uend
, \( ^3 c2 R8 C5 u' P# wto-report area-of-equality-triangle7 F; W+ ]9 N9 J
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
- l* O( W1 i3 K& R, a, l- S/ Cend |