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) N. {9 n7 F% i! b& c
globals- f6 ~- {' A2 @( x" l2 {+ v, c1 n
[; `9 u! z% {5 R
max-grain % R( g& V- O' K: E I: z0 p
9 h# S; @( I* Q/ ?% B: H& {: A0 }]" ^/ Z+ w+ k, n" N3 E1 \! ?
% Q7 q7 t9 z- w6 D, ^+ i3 k, e
patches-own( {0 [3 b5 H, o! k! B
[" c% F5 N- \. {
grain-here " S, y; n7 c3 f6 U5 |4 X: X
max-grain-here
$ c5 ?1 T! k/ A% b- B: `7 j, H]5 q6 ~# U. `+ ` K- U
' ?9 Z t8 D- m2 gturtles-own# c- A4 M8 O/ _ v* o/ q
[
1 V( q$ }; S- R& p2 t4 e* G) v* n; @ age
: j& r( c# G% B7 j0 u wealth
" S% u( t% M0 l$ r# J' L" A$ _& [: L life-expectancy
. m' i0 Q C2 \ metabolism 8 L) K+ s7 ^/ X) o* a
vision
. O( z& c6 Z. O$ }3 E/ ~6 s9 M3 Q inherited
9 v7 K# l, u% w: M]
. c0 z7 ^" S( E: s
( }" D- b0 e4 G& j0 O* t$ R! z3 I& w0 V5 l5 g/ z0 y, ^
to setup. _2 ~3 {9 g* w, t* _
ca
# |. B) ^. d. g8 y2 Q+ p( o% f& ^ set max-grain 50
, |5 Q3 {. }9 R4 [ setup-patches
" b. I: P3 \4 O$ m8 ] setup-turtles4 g7 X2 r* z, {( {. D( B
setup-plots
2 L+ V# ^8 w! Y- j, a) N update-plots
: V* B; a$ D' f1 u% Q2 v9 wend" x. d& y0 M; ?2 U: Y
to setup-patches
# B8 Z) H" l+ d1 \ ask patches! ?+ o1 D, r1 Z7 r/ P% e0 o
[ set max-grain-here 00 L- L4 I% u4 }( y
if (random-float 100.0) <= percent-best-land$ ?6 r+ ^& J: M1 K1 O3 r
[ set max-grain-here max-grain, |0 w/ z" O6 Q0 e1 l9 w
set grain-here max-grain-here ] ]
4 X! ^& y8 o6 x/ d( F repeat 5
. O5 _" F: M j) o" G2 j/ X [ ask patches with [max-grain-here != 0]; v, q- B" ]5 H2 Z" m; O; h5 V# b
[ set grain-here max-grain-here ]1 L! W9 o- Y( ~9 e" l; e8 O2 r
diffuse grain-here 0.5 ]. f" E- c6 G. x
repeat 108 q" v. `/ O8 k$ U2 d& Z9 X
[ diffuse grain-here 0.5]
/ [0 ?8 }8 F0 e* x: D" n0 u3 M# U ask patches. O/ ^* w- g9 z8 F/ u
[ set grain-here floor grain-here : r- H z& q6 d1 U6 |- c) i
set max-grain-here grain-here
( d& Q( F' o5 F' i8 ]& j# w n recolor-patch ]
8 K5 g- ?/ ?$ b4 v: _, xend& o; |' W4 E& M" X6 M
to recolor-patch 3 {/ J8 ~( l" u# P! d( z
set pcolor scale-color sky grain-here 0 max-grain
( b' w* O: k$ ~/ ? v- N" _end1 I+ S9 K& w9 _/ n- a* [8 v
to setup-turtles
" N6 K& g+ b4 _ set-default-shape turtles "person"* S6 c6 o) P5 P# W/ x$ S
crt num-people
# j! J" H6 x3 v/ ~/ j, X9 D: Y [ move-to one-of patches 4 y; e, }' \) @
set size 1.5
! s: W3 k" Y- @6 t5 G* } set-initial-turtle-vars-age
: o2 ^, C8 _' {' \' i) Y& J2 e set-initial-turtle-vars-wealth
" ~0 y% G( j! c9 z) [- l set age random life-expectancy ]! H2 B% w0 R. R& j* T$ W
recolor-turtles
1 R2 u: c, ?9 c; O1 d" C% \! ~, fend
. D/ z) a+ g, o8 `. v" g9 S Y W8 ~/ p% u/ h" i
to set-initial-turtle-vars-age! G5 S: k% W5 S. p3 N8 n7 S2 Y
let max-wealth max [wealth] of turtles
9 |8 @ L6 }1 T6 I! R6 M + i- ?# R& I5 L; I. V# Q
ifelse (wealth <= max-wealth / 3)# @3 ?. K H( N+ Z
[ set color red
4 Y9 _4 y. b' m3 {. N3 L6 I" B set age 0, U1 N7 G B, P' h; u1 c0 N) [9 }
face one-of neighbors4
! w3 ]% @/ n" l set life-expectancy life-expectancy-min +- c$ |( X& ^& N) W, K
random life-expectancy-max
7 r! n( v' r7 S set metabolism random 1 + metabolism-low
% C4 i. B- {7 o2 H/ P set wealth metabolism + random 307 M4 z0 p' g* K( A0 z
set vision 1 + random max-vision. ^7 c; J* G2 {0 s5 }
set wealth wealth + Wealth-inherited-low ] h t" f! h- f) s# b& A. ^
[ ifelse (wealth <= (max-wealth * 2 / 3))1 q8 g- O) C# O* D3 p
[ set color yellow
; y. o8 `! a! f7 X+ M- h1 W set age 0
: V) i9 k/ r8 {4 }/ D face one-of neighbors4 8 E8 G2 q, U: h5 Z+ V% ?# l
set life-expectancy life-expectancy-min +
' w9 E6 w+ q8 h% Q8 L) j random life-expectancy-max + 1
j; Z; h+ j5 }7 J& w% T set metabolism 1 + random metabolism-mid
; ]; P" b0 e3 a0 h/ t1 L set wealth metabolism + random 30" @9 p! |4 o7 q6 Q3 i
set vision 3 + random max-vision' [! f/ a- U) C, N5 ?8 T
set wealth wealth + Wealth-inherited-mid]
3 U1 a1 n4 C- Z) ]7 i7 W [ set color green
9 n0 J, Q# F: Q6 @$ _" v( [ set age 0) c2 h: \: V- E0 X2 Y% S
face one-of neighbors4 / S. R7 ]) _8 i; _" @( b) w
set life-expectancy life-expectancy-min +- x/ j4 H( g4 I% S/ F
random life-expectancy-max + 22 Q( x, B0 _1 L+ O- v/ k# C% J2 K
set metabolism 2 + random metabolism-up
3 N# X- g* C& R+ g. t0 g set wealth metabolism + random 30
+ M2 Q' O! s' ` set vision 3 + random max-vision4 X/ M; V! ?, T
set wealth wealth + Wealth-inherited-up ] ] 8 O* M6 V h* f) S% ^$ Y. P( g
9 k' l. m ^& ]4 h9 Hend T) s" |7 m8 q# ~
to set-initial-turtle-vars-wealth* ?' ?: \9 j& ]. s5 E
let max-wealth max [wealth] of turtles% J! K% Z8 S. j1 R( c5 ]( P
set age 05 S3 ]& s1 @ m4 O5 I# \: e
face one-of neighbors4 " U @9 R* |3 Z8 J' {
set life-expectancy life-expectancy-min +
) g% W+ g# F! R2 m. n* x random life-expectancy-max
! `( g+ J3 m: g o0 w: M# O& ~ set metabolism 1 + random metabolism-up$ @6 r. T( J* `6 a \/ e- q
set wealth metabolism + random 30( u0 r) Q1 H: p6 |( E# N; u
set vision 1 + random max-vision
$ Q5 i+ @1 Q( G6 I! [- |& dend8 \2 d- R7 b5 ]1 I6 y
to redistribution
, I o. B \" q/ ?let max-wealth max [wealth] of turtles
, [8 X/ B9 ~' D( n1 Elet min-wealth min [wealth] of turtles; V! y, n2 y5 I% C; I' L
if (wealth <= max-wealth / 3)
# Y9 Q6 Y7 l% z. j [set wealth wealth + Low-income-protection ]
/ C! c- f7 J' T6 q2 gend- j5 t. Z N8 N4 z
* a$ J! f" O M; X# R. gto recolor-turtles' b& D! h: }( g
let max-wealth max [wealth] of turtles4 z2 ]4 b: X' F R R
ask turtles
7 |" q r2 X2 X$ m4 Z [ ifelse (wealth <= max-wealth / 3)
' Y5 H0 W4 \" ]$ }2 Z [ set color red ]
& T9 ?; e9 a; g1 `! T* i4 C9 q [ ifelse (wealth <= (max-wealth * 2 / 3))
& M) f4 p( H# B( h4 ?: ~2 X" \ [ set color yellow ]
- l i; x( l* c9 X8 J- T) o [ set color green ] ] ]
7 z9 H1 s5 O( y: D4 | ask turtles [ifelse show-wealth?
9 J- k% [3 J7 L" C" X [ set label wealth ]- g* s: ~- N" L4 _+ g' z5 j0 u. d" P
[ set label "" ]]
2 t" O$ ~2 g" _ ^ ?/ @end2 q+ J6 Z S6 m; o
6 J, \* j% F- I4 f3 `, d5 e3 xto go
; v- U) H9 ~! W' _2 g8 M( R ask turtles
2 t; u5 D" j* R9 ? [ turn-towards-grain ] 5 }& s, Q2 L5 A
harvest
- h5 X1 K6 E) ~6 h/ | ask turtles
6 _5 T& \$ Y2 l5 P0 K [ move-eat-age-die ]
) }' L7 @" k& A) T0 m recolor-turtles
# P6 z0 w3 @4 q; u# O6 _/ G3 P( g if ticks mod grain-growth-interval = 0
: }) X2 y! k0 Y0 ~( I [ ask patches [ grow-grain ] ]* U1 ?2 `! P0 i7 F
- [3 y; C& ~% ]. s# g) [: Q if ticks mod 11 = 06 W* O: f9 ?1 D0 U+ F5 n" R3 f
[ask turtles) C+ @9 {9 ~; }# C! W
[ redistribution ]]
4 Q' u: M! D% A! J4 y3 M if ticks mod 5 = 0
' H. e* d; F, v [ask turtles
; a+ E" y$ k( S$ N# S; E$ s [ visions ]]- V9 z( C; }( }
tick/ z# U9 J3 F% u8 T3 E
update-plots
. V% Y! X$ G0 F6 A+ f2 c% Eend7 @7 D/ Y+ j8 G+ E& a
to visions8 Z! I& q9 L1 x8 T' }
set vision vision + 1 1 u% u( Z4 S9 b# K2 g) d" ?
end4 U' h* u: q4 i u h+ k$ ^+ i
& o' R8 o9 _/ E9 S
+ X2 u' b/ o: v; x. G: J
. ]* A, |- X! Q$ O. ?" f: g. T9 gto turn-towards-grain
! v6 C+ e, C7 G9 T set heading 0
1 L7 T% h% }" t6 N let best-direction 0/ i5 S, @- r+ ?* L( P) h
let best-amount grain-ahead
$ d. v5 ]% n6 W9 `6 k# Z set heading 90
; Q+ { X9 b7 o if (grain-ahead > best-amount)
( ?6 _8 s4 |7 _* K5 L7 J9 T [ set best-direction 905 v. t6 D! W6 e& M1 z
set best-amount grain-ahead ]
) ^& G( F8 {0 D set heading 180
+ b* } K0 S# p4 F if (grain-ahead > best-amount)# v, x: ?" ~% M) _, A1 p
[ set best-direction 180
) z ?! _6 |* A# U set best-amount grain-ahead ]* a# `" i" t2 E" Z+ j* `
set heading 270
0 P& `5 X9 H! C0 Z if (grain-ahead > best-amount)
{1 y# o8 I1 j6 M* \3 y2 k [ set best-direction 270
& o' J& h# Q, P$ q6 a set best-amount grain-ahead ]6 p$ {4 |, v l+ ?$ f; ]: m* Z+ d
set heading best-direction5 E6 ^+ A( C7 G* q3 _/ m
end* B! m3 F& m a6 e( y, w, S) F
) M6 {- e+ U9 Q4 T* X% V6 `' u O
% X, A( j' c* p0 \' T* ]3 v) ?- zto-report grain-ahead
. o& `4 o& x/ e- k, k- V& ~ let total 0
2 | l1 r3 v4 j: `7 H( G. A! e. H: ^ let how-far 14 r' O+ {1 q: b! S6 t- @
repeat vision3 H% a8 f* l; C- B, O+ U3 m
[ set total total + [grain-here] of patch-ahead how-far9 _$ K; n1 N& d; u3 D+ u0 _
set how-far how-far + 1 ]5 Q8 X0 J5 ~) B" j& U8 H; G
report total
1 L* ~ K" N& {; \: ]+ l- pend
8 [# c' U; [; ]! D7 l P# p/ R
) Y5 }1 T. j( W# V) B/ F5 kto grow-grain 0 d; ?& N2 F) @% U& ^4 P; [
if (grain-here < max-grain-here)
: L9 H/ V# u2 u* D) t0 R/ O [ set grain-here grain-here + num-grain-grown* b T2 J- P# Q C9 C- b, A
if (grain-here > max-grain-here) % J* Z% B+ P4 t: [
[ set grain-here max-grain-here ]
5 Y! S; i8 F3 v recolor-patch ]0 ~+ o$ }% F! A0 O
end
1 @5 H6 ~9 l5 H- C0 I9 Jto harvest
2 a) d+ N( t) Z; z) L$ G$ a0 g ask turtles9 \/ _0 [& R- N, V# Y" U! J9 b' u
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ] y' k ]1 Q% s0 ]7 @* n
ask turtles* L; N: t' P' [8 o
[ set grain-here 0
. [6 A, T5 ?# _ H4 n c( p" `/ V) d recolor-patch ]
5 W4 U! Q- d# {2 ~ % r# y- O" u1 D3 }
end) a. e" ~7 g: U2 _4 C9 n! U+ z
' F( E/ ~( \. P" s; T' xto move-eat-age-die
7 \/ ^/ |* G& W: G- c fd 1! A6 i4 n2 f, M
set wealth (wealth - metabolism)
! s- W7 |( X. k9 ` set age (age + 1)6 p) Y( z# ]2 H. s9 @# \: a, ~
if (age >= life-expectancy)2 H1 [5 U5 x( [; l
[ set-initial-turtle-vars-age ]5 T) Y9 i ~1 p3 m0 V- _
if (wealth < 0)- G5 Y" N* _5 k. r% N
[ set-initial-turtle-vars-wealth ]
- H* ^: J9 S! E A
1 P$ W% D+ s9 x- f. L8 K' aend- T9 V6 B& G G" v
b4 I8 d3 D0 J& p+ u
9 d2 V2 Y( C8 Fto setup-plots8 { h3 j4 ^4 ~
set-current-plot "Class Plot"
9 |4 Z }, s* J7 |: o set-plot-y-range 0 num-people
6 o$ a, _% B4 @0 @ t9 j1 A set-current-plot "Class Histogram"- b) a, f" d! n' {: h
set-plot-y-range 0 num-people: w; y2 z G6 ^2 ? V; r; H3 }# L
end
5 T8 P A' G7 ^1 K4 d
' V- ~/ Q+ y2 ?8 O& Y6 oto update-plots
) v* o* r0 Z* ^+ Y# e2 G8 k6 J update-class-plot& G$ A/ r% _4 ?6 _" j" E
update-class-histogram/ V# v3 v. A6 C% J* j
update-lorenz-and-gini-plots
L1 S) N* E0 u& p9 M2 J# Kend* d) x/ T E8 }+ b: A7 w) I
) P. F% k9 P/ \to update-class-plot
, J$ s2 d8 |. P* b; k9 X set-current-plot "Class Plot"8 B T8 Q$ Q, @% b
set-current-plot-pen "low"
- ~3 R/ j5 T' J: [, p+ } plot count turtles with [color = red]0 N2 n3 I0 Z8 g+ G. E
set-current-plot-pen "mid"
! N# D) H- P+ x. G plot count turtles with [color = yellow]( k7 U- ?# E$ W9 U2 M
set-current-plot-pen "up"
: C/ M3 Y; ^ ~& | L1 a plot count turtles with [color = green]0 E9 m2 h- K' O' A/ a* a; a' ^2 o
end
# V' T' e( n) b+ Z3 X
/ O g6 F' `0 s; b9 `* rto update-class-histogram1 _# E5 F/ B+ n
set-current-plot "Class Histogram"
! f E% d7 e L) @0 {- F plot-pen-reset
% I0 J+ a' }. W0 ]: y/ D$ @ set-plot-pen-color red3 A: e' d7 l; ~: L0 V0 ^
plot count turtles with [color = red]( U6 \/ V: |9 e8 _# `
set-plot-pen-color yellow
+ a( B- f$ A6 z5 ` plot count turtles with [color = yellow]
5 b1 o0 Q3 C5 L0 |* p set-plot-pen-color green
, e8 r' M3 m2 h9 ?! H plot count turtles with [color = green]
* x3 |( ?- g; @+ w; g/ { H/ zend! b: F2 s! |, G/ r6 ? x% {
to update-lorenz-and-gini-plots
& T9 C+ o5 p- c+ n/ P8 _ set-current-plot "Lorenz Curve"
6 R" V( B) {! p" J clear-plot4 @1 F4 ^& v9 [8 w& ]4 {2 R, `
( n, }/ @$ `0 U" H# p set-current-plot-pen "equal"
" K' s# `; f& N( E5 I4 y plot 0: p' t% n, \; i( p0 m
plot 100
( ^1 O& f* m' G
& f4 j# R+ ]7 x$ B7 b8 V$ [8 m set-current-plot-pen "lorenz") @1 c e: a/ D( ?. z$ K3 B
set-plot-pen-interval 100 / num-people
! e9 M8 L& R' q plot 0' I" k: }& u- U1 s( F
2 h4 d0 {, L' o& h5 x
let sorted-wealths sort [wealth] of turtles
4 v7 M. [9 I4 \$ B let total-wealth sum sorted-wealths/ i: E2 `) `+ Y8 J/ P3 T4 j6 M7 C
let wealth-sum-so-far 0% q* j* r8 e3 k
let index 0
/ {6 T$ \$ Q' |. c6 F# k let gini-index-reserve 0
" d, i1 C) z( J# N( c
5 ]% m5 j( Z9 w repeat num-people [
" C9 a8 d) r5 q( y9 F* X set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)- ]. I6 k0 b/ h, Z1 X" ~
plot (wealth-sum-so-far / total-wealth) * 100
D9 z: H+ Y& {% ]- p: e$ _( s set index (index + 1)" P9 E! h; j* l6 j
set gini-index-reserve
* J5 J, A9 X0 U7 V& x% X, ` gini-index-reserve +
. Q+ v' a! O' V (index / num-people) -( D% b" ~9 A' @ m& U( Q: V
(wealth-sum-so-far / total-wealth)
" V1 Y6 A* p: Y9 m6 V: L5 c7 L ]; k& d% p% {" @8 z4 G# q# k* A8 @
! _+ ^ ^+ I: S h: X5 X set-current-plot "Gini-Index v. Time"2 ?- m5 t) t7 _/ U2 u8 C# \
plot (gini-index-reserve / num-people) / area-of-equality-triangle
$ c9 Z2 g8 X6 j( g5 N+ iend
& o+ @; B9 t, ?# ?' H# y- E* rto-report area-of-equality-triangle1 A$ S, S6 X7 O, ~: j
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)9 R" ?& @4 e5 R# u+ V
end |