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4 S2 p5 w" s8 \! }* Z
globals
% w% Q& a& g2 }" p' u[# B" Q5 V3 p9 a
max-grain
7 a! P; \, t/ U+ n1 v% A& ^5 r- @" A' B |! H! [4 y* [
]" @) P8 I( u: p4 w: x$ V m
7 L( F; S: s5 c E! h+ V r
patches-own
8 g: O" l$ f% g+ m[& W- Z( s3 v+ y6 C: ?8 S
grain-here * B: T+ C' {2 G4 N
max-grain-here $ U7 x% p- {" ~8 ?, b# E6 D! Z0 C
]& E6 K& p3 U9 [- {
% T6 N2 ^4 j2 f- |; E( L D; v& @
turtles-own; d4 ]5 ]- a7 x: Q
[/ A3 O- \$ c) _% ^1 i1 U
age
7 `' ^' B! Z8 A1 H. g7 w wealth
1 p7 |9 V4 u* B) Y4 g* f/ p X life-expectancy
/ e8 c9 L% K$ x) ~1 ]" g/ q metabolism
* G4 ~, Y6 J) F1 G vision
' d% s1 ~$ R5 e$ x4 B2 X/ ` inherited 3 ]2 W: O" K# d1 I- L
]
4 |) o, Q* i9 `# f4 J0 I i. j1 g/ C
/ m8 P3 Q+ u) W/ C1 _3 F
to setup
9 d9 f! H3 T; J5 g9 j8 Q5 g ca
/ u* D( y: }6 B set max-grain 50
/ `6 p# d! w$ q$ f" l* x setup-patches3 G! I1 J% x# X( E- H
setup-turtles5 Z. m+ {2 Z3 ]& B7 k; ]0 k
setup-plots
: O: G; {. Z: [, I" X+ J update-plots
* o4 y( j. Y7 i$ H, K7 _/ \end6 T6 }, C1 @, i$ F$ ]0 l
to setup-patches
( H n. o% b# T2 z ask patches2 j% d' b) b C: G6 r
[ set max-grain-here 0
- m$ S0 `0 v" E' u% K if (random-float 100.0) <= percent-best-land. l; W. z" m3 D& ]
[ set max-grain-here max-grain3 I7 g1 d7 _% n8 n
set grain-here max-grain-here ] ]- G- u# b# B) G9 `" U, [" b
repeat 50 A! g+ u1 z, ?- T8 ^: P/ ~
[ ask patches with [max-grain-here != 0]- x% n6 `, i* R& k
[ set grain-here max-grain-here ]
* S/ z2 _4 ^/ R% u# n& S9 O% L diffuse grain-here 0.5 ]
$ I8 ?2 K6 s; q- x' q9 U( ~0 ^) z* E* z repeat 10
+ `6 N1 k: Q. Z, L; K; c/ t0 ? [ diffuse grain-here 0.5]
0 J+ S4 u- X- o5 e$ D7 }: V ask patches
# u* h2 B8 R8 ?6 ~4 k+ i [ set grain-here floor grain-here
- H4 B, e; w0 b! D" I- q set max-grain-here grain-here
' _$ y' F. g [& A9 {: s n recolor-patch ]9 O8 }$ x% K1 B
end a' J2 B: a9 N1 g) J
to recolor-patch
/ f, _0 G0 N- \% o set pcolor scale-color sky grain-here 0 max-grain- k3 B) X# s. d
end i7 z1 r. G8 D( b) ^( f) N0 T
to setup-turtles' l7 d3 a- M8 s, M1 d
set-default-shape turtles "person"1 B, G0 T' Q4 o, S& A
crt num-people+ K# q( A2 k$ e% ^6 N7 R# S
[ move-to one-of patches
) M# \, J& r- v set size 1.5
% e' g) b8 G/ e! r! O" w1 L set-initial-turtle-vars-age
9 M% s6 M7 o/ ]2 @ set-initial-turtle-vars-wealth
7 V; h. b4 t2 g set age random life-expectancy ]
4 G! `& P# d7 G; V recolor-turtles
4 S! `7 s3 X' ]& a4 Q* ]2 N3 Send
! J) W8 e' ]( i8 G5 k& y- x/ _5 B, J% a |1 C: |# u
to set-initial-turtle-vars-age
# b" t* `& S1 g* d i let max-wealth max [wealth] of turtles# Y0 P9 a" Q9 ]" r; |% ]! p8 T2 D
" G6 V9 u% p$ z6 D; [5 l# D" e ifelse (wealth <= max-wealth / 3), s* ^; ?: J. A+ R: V
[ set color red + f, b! U6 ?7 A
set age 0' H1 ]7 r1 g4 c! a( |7 N) j. r9 p$ j
face one-of neighbors4 7 V f2 W6 P M h, [
set life-expectancy life-expectancy-min +& i- x8 D6 l+ L% x* O, Y% [
random life-expectancy-max
3 S4 R- o# H9 N2 H/ E set metabolism random 1 + metabolism-low
8 h) h5 N' \! i0 S3 U j7 U* v6 a set wealth metabolism + random 30/ A7 o9 x$ l7 b' L1 d2 g- a4 r" C
set vision 1 + random max-vision
4 F' n" l5 C( S2 ^ set wealth wealth + Wealth-inherited-low ]
* s; m8 K& I. g [ ifelse (wealth <= (max-wealth * 2 / 3)): j, P/ w; ]# ^1 ^
[ set color yellow
+ Y: B% f8 H2 v$ h' K" ^3 l7 | set age 07 Z: C+ e+ v( Z( V
face one-of neighbors4
$ |/ ~/ M: p4 u, B; v) g3 s) H- D; R set life-expectancy life-expectancy-min +( o1 L7 p5 G N. v- k2 E. H8 W( G+ p
random life-expectancy-max + 1: O, _4 z' f" `3 m2 A) ?
set metabolism 1 + random metabolism-mid
; X7 t, a# H6 N. L0 a- y, O+ m set wealth metabolism + random 30' |; T& N5 d9 a* I" N1 O
set vision 3 + random max-vision6 o' N6 J% h( F# }0 u
set wealth wealth + Wealth-inherited-mid]
" u6 y" v: w- r* P6 C' E [ set color green 8 O# A" e, B9 x4 V& s# X
set age 03 j. L2 }0 u! W: V
face one-of neighbors4 : l% w4 [* N& `
set life-expectancy life-expectancy-min +
* e0 l" {- m4 B' ?# @6 A random life-expectancy-max + 2
- z: M% u3 R* U4 l2 F. s set metabolism 2 + random metabolism-up
$ q6 _/ h8 G* N+ s. {. Y set wealth metabolism + random 30* [0 I0 m- m8 q
set vision 3 + random max-vision+ w* w0 X+ z3 H. H: U1 T# P4 H! d
set wealth wealth + Wealth-inherited-up ] ]
5 y. f- {6 V2 |$ U ( i( i( Y. C$ a3 l- m) D) S
end
3 k8 ?4 U# P6 Eto set-initial-turtle-vars-wealth' M' w$ G* }* C* H% E2 k
let max-wealth max [wealth] of turtles+ l4 H6 A/ Q) p- h! r* d5 a
set age 0
. n$ {4 p% @1 a+ `" _% c' x8 \ face one-of neighbors4 4 Q# y. V- ]% w& \" ~
set life-expectancy life-expectancy-min +
2 P7 D: C/ b, G2 o4 d8 I9 i random life-expectancy-max
7 F$ \9 p# H& i& l2 | set metabolism 1 + random metabolism-up. }6 q0 a1 G e" N1 N
set wealth metabolism + random 301 t4 M' c, I; o8 f5 q5 {0 `# x- Z
set vision 1 + random max-vision
; t; _) K% C% U; I, S; Mend8 ~5 l* e$ k$ \6 t% ~
to redistribution
' q5 l" i* w7 rlet max-wealth max [wealth] of turtles
6 ?" ?. L3 ^1 P: Xlet min-wealth min [wealth] of turtles8 w, s B3 ^5 s" Z6 Q2 ? N* Y
if (wealth <= max-wealth / 3)
F& K5 W. i, ^0 b+ a3 ~$ p+ q w [set wealth wealth + Low-income-protection ]- w$ A; b* d* P" L. Q
end" l$ w$ V: i/ ]2 C8 S) y# G/ Z; l. | d, l
! _# L$ \ c, P7 U( t* C
to recolor-turtles' p3 a1 T7 z u+ V6 I( M+ G
let max-wealth max [wealth] of turtles, q7 e- q) L/ o1 B
ask turtles( p+ p% l) f+ N4 V- t$ Z
[ ifelse (wealth <= max-wealth / 3); [- S; N% l: G9 k' V8 G8 Q! k
[ set color red ]
9 I. T* x* `+ I/ |( K1 X1 a [ ifelse (wealth <= (max-wealth * 2 / 3))( h4 D3 ]7 J2 ^8 n
[ set color yellow ]
4 H9 m& n5 Y ]9 W: v% b [ set color green ] ] ]
# q, r- q: x1 R1 o& ~+ D& M ask turtles [ifelse show-wealth?1 @1 A; u1 A, [# {
[ set label wealth ]
- R# @; G8 J- p [ set label "" ]]! t' P" Z8 z0 z5 |$ t& c6 X( K
end
0 ?; t3 M& ~% W/ V: h, u/ o, c$ N5 x- t! P
to go1 j. l+ a+ ~! Q; c8 Q1 H
ask turtles
7 G" o6 ^. I4 O# Z @5 N [ turn-towards-grain ] 6 ^2 A+ |& B6 ?8 E& g
harvest
- c. Q' S+ S6 N7 K ask turtles1 j" Z# x. Q- c, C$ ^ ?
[ move-eat-age-die ]
4 |. [2 W( K/ T* ^1 m7 J recolor-turtles! H1 O0 m1 i# m2 I7 E- Z% {
if ticks mod grain-growth-interval = 0! k1 Y! E+ a9 _$ g& D
[ ask patches [ grow-grain ] ]# s7 F+ E4 e; c1 I( @; Z4 f' ?; U: z& G
& f& c5 N( Z& u0 ]( {) \ if ticks mod 11 = 0
% Y. N% c# } e [ask turtles
* L2 @5 ]9 I, s2 y8 }2 ~8 ~% w& Z4 f [ redistribution ]]" X6 ~% d e7 t8 c" o5 x b+ E* h3 q
if ticks mod 5 = 05 L0 e% V2 T, }' C: O5 B, R8 z" R
[ask turtles
/ H7 d8 @! E( ~# G, y3 q [ visions ]]
* b$ v) P) G) s" `! Q9 C+ T+ m' w% d tick5 F! H- o) q" s2 d% ^* S3 I5 G; ?
update-plots
6 I1 F/ J! e! `! Dend
. ~6 t( ^# T: [% W, _to visions
1 s) U- H3 |4 m% R: G3 v" n/ S set vision vision + 1 : v0 M! I6 i" `- J% n, H' c1 z- P
end
B% j) X% Z6 H& ]8 r9 S2 u1 Z" |0 f. j* q- u
) H" |( @6 S1 J3 d
+ I8 G' G" Y8 F7 l- o" L. _' Xto turn-towards-grain
, ]: W/ _3 b+ q0 j- B4 g% |6 C set heading 0- B5 ]# W9 c$ j2 x. k& w
let best-direction 08 g' O) X) j$ z! a: j% C) b8 N \& [8 C
let best-amount grain-ahead
+ _- }9 u+ c7 I' P$ ^7 F! d/ { set heading 90
* t/ ^2 ^4 i- t1 k if (grain-ahead > best-amount)- K- g1 w6 B) g6 K
[ set best-direction 90, X0 M3 V4 ^; F8 Y; _5 F
set best-amount grain-ahead ]7 h% O) L* ]. @4 a
set heading 180, \3 Q% l7 E9 ~2 E9 `1 J0 s5 k0 D) R
if (grain-ahead > best-amount)
+ f4 F( R2 B- x' c1 m- \ [ set best-direction 180- K, [" l6 B, H' j$ @) c% q2 _
set best-amount grain-ahead ]
3 N2 q% h, m' G9 O% O0 k set heading 270! ?$ C5 J1 {4 v& \
if (grain-ahead > best-amount)
1 m0 z3 W6 H/ m+ s9 I( z/ \ [ set best-direction 270
( k; l* }' C) K) G& P set best-amount grain-ahead ]
9 G0 {* [' o2 @8 v4 ^+ m set heading best-direction4 d) p3 P- W9 P3 a% d
end3 s/ J2 n& D8 B$ U7 _" j
: ~4 U! d- Z6 z% V; K0 \. g8 v5 I* ^) c5 I
to-report grain-ahead ' W* Z- S( W5 e) L
let total 08 l9 s: S* g! S9 z; S
let how-far 1
. p: X( H7 ? V; I0 a repeat vision; f' K8 s9 ^: ^" }& k; P
[ set total total + [grain-here] of patch-ahead how-far' E( E4 f' }' ?( L
set how-far how-far + 1 ]
: C3 \' V: k' b" @# p report total' w D" I- i7 R" n
end
. h$ u7 p+ q8 u8 [& g$ L# e, v% C' B: S! b9 D' |, Z3 M/ T
to grow-grain
3 f0 z" L1 |. z% T" Q$ E if (grain-here < max-grain-here)5 G! p$ M4 n! d. a. j
[ set grain-here grain-here + num-grain-grown
( T* K/ P" s, f& |8 J if (grain-here > max-grain-here) 3 k. m3 o+ _+ p
[ set grain-here max-grain-here ]
; d9 h/ {6 r8 p, t+ G recolor-patch ]3 @9 [/ X& z4 o1 s; o8 h
end; V! c2 o- m o1 ?
to harvest
! B% Y4 h; @6 R4 D) G" |7 K8 f0 K ask turtles
! X% Y0 U, l' v- B% [ [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
$ ]4 S, T( V+ c: X, } ask turtles
7 z% W3 Q) B: X& j9 m [ set grain-here 02 v4 r6 T) x! s0 w/ u9 X B+ @
recolor-patch ]3 \5 X7 s* P6 c8 h1 V
8 B* V' G6 e( W2 I8 g5 t1 Z; d5 Rend& Q! B) J' A# J6 J
8 E+ P4 e3 \, f( c
to move-eat-age-die
. \, {3 M1 B+ ~4 [# s! I fd 1" W6 c4 y) k: Q4 I
set wealth (wealth - metabolism)
6 T, C' D; L) `8 r set age (age + 1)9 k Y- B T v) U" H% _
if (age >= life-expectancy)
- n; G* l: ~' e0 S3 Y5 H- ~8 H. _ [ set-initial-turtle-vars-age ]# h Y3 D# x, W7 J5 D: Z
if (wealth < 0), X' k( c* B% f- P4 i: H" G6 w- T! r
[ set-initial-turtle-vars-wealth ]8 q" _( y. P' _) q0 W# g9 B1 O
6 N' o: E+ P, Jend
3 O& q* M/ u0 Y3 D1 i3 }9 k; v3 C2 _! T0 P9 G5 a! m, |: }
( [0 W: Z Y: ~to setup-plots
( [$ n6 X; q9 g: J% P: [& @ set-current-plot "Class Plot"& S6 A! l/ d3 h& D
set-plot-y-range 0 num-people
" X& I1 q; y% \' h set-current-plot "Class Histogram"$ J3 e% p T. f, M% h! b1 N
set-plot-y-range 0 num-people
/ x; W; [) b ^- kend
7 y7 T2 ]6 `5 w& b4 ]8 G8 w) @
% k5 h% ~2 w1 l9 Pto update-plots
4 `5 J( e7 W% F$ F* | update-class-plot
, i0 N$ L" ]) B3 y update-class-histogram8 k& R2 U0 p0 S% T, ^/ _
update-lorenz-and-gini-plots0 ]: M# U) {: E$ M1 m0 I( e
end0 x2 Y2 ?7 m3 c/ H
3 Y/ c1 M, H% L( J) P
to update-class-plot
6 B% i6 m8 \% Y! z9 e4 O+ w% a" C! D6 A set-current-plot "Class Plot"1 j! }8 I' _# g# i2 H" b/ t
set-current-plot-pen "low"# K, [3 {; T8 S: _, v9 p
plot count turtles with [color = red]+ ]2 |, t3 L! K5 J' D' ]; Q( K# z+ s
set-current-plot-pen "mid"
# R4 f) K- B4 M: M0 i plot count turtles with [color = yellow]! r; B: g9 m, F1 Z6 U4 C- R) Y
set-current-plot-pen "up"5 W" N( k- \) s/ O% L+ ]
plot count turtles with [color = green]4 K7 H5 n% B c% X) ^8 |+ b
end) s% `6 V! M# ], t/ ^3 }* Y
+ p( B8 M& m* s/ [; `
to update-class-histogram
$ b) I) W1 A6 c: E7 f set-current-plot "Class Histogram"
1 w6 |7 o n+ f+ F plot-pen-reset
2 D- U8 Q' y" }% m set-plot-pen-color red. I' }6 Y a( i
plot count turtles with [color = red]" C3 e; B$ |. ^8 K' f$ Q
set-plot-pen-color yellow
3 @5 i6 s- T* y5 @, | plot count turtles with [color = yellow]0 u# L- b! d8 d( J6 z
set-plot-pen-color green% p1 k0 B5 W" Z- X. S% V) ]3 H
plot count turtles with [color = green]7 c( o* h. d( E
end
; B" D3 }" F9 h2 a% lto update-lorenz-and-gini-plots
: n8 M, d' \5 n2 q8 x5 X! a% V7 P set-current-plot "Lorenz Curve"3 G3 x+ g* m" B
clear-plot
: J2 Q* \6 p, _6 L3 q; x& E% u9 ]9 q
5 @1 z4 q1 A& s5 X: C* w; f set-current-plot-pen "equal"
- w; f& v- [9 O5 U plot 0
4 n: ?' r1 J; h; d plot 100
: f; [; A% c! P! _! R5 J
& C4 B) \( g$ d* }* Z' p0 Y set-current-plot-pen "lorenz"
% J! z2 S) v3 i" ]3 V% {1 X; X. i set-plot-pen-interval 100 / num-people b( A" u; F1 W ?# F1 K
plot 0* A. n+ [2 M( b: |5 C! @
2 L4 Y" Z8 f6 q% C+ b o2 m5 q( k let sorted-wealths sort [wealth] of turtles, C3 W9 G8 z" I: ]
let total-wealth sum sorted-wealths- R6 ]. m! O8 A+ Y
let wealth-sum-so-far 0& N: e$ G4 n+ z6 p' S' I
let index 0
& @3 B8 C& U* l& Z) H* ~( F# S let gini-index-reserve 04 F) R8 c4 M, L7 D
6 ^0 d" X; l& \ repeat num-people [
$ I) ?' B0 ?, Z3 P# n, e set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)& e d" b% z. q# i- C! k8 v
plot (wealth-sum-so-far / total-wealth) * 100
8 v4 y t3 U5 [8 ~5 ~7 z9 R$ l5 z set index (index + 1)( C- f% ` a5 r& z5 X( Q
set gini-index-reserve
+ B2 I' W2 M0 m( v$ Q. h gini-index-reserve +
4 ~5 r/ _# V! a+ M3 X0 W2 p9 q$ W (index / num-people) -8 ~/ d1 q1 N& V4 x. J
(wealth-sum-so-far / total-wealth)
: k) [4 V8 A: A$ I0 H9 |% f ]
1 E( d0 b, E7 e3 K* d
% }# K0 k2 H+ U& ~ set-current-plot "Gini-Index v. Time"0 G. @% i7 f$ v4 `, `! o' y2 T# _# W
plot (gini-index-reserve / num-people) / area-of-equality-triangle
, a, E9 o. L' r$ ~* Send
. G0 a; n7 u/ I% K+ t+ r4 X9 y2 O bto-report area-of-equality-triangle5 ]% J# [/ c+ O6 Z
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
) H7 ?" W& H3 Gend |