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- A1 ^# Z2 }/ I/ s1 x
globals$ |8 Y; r8 ^" F6 C' ` ~
[
) M' h7 V8 e5 M+ O, A& u max-grain 2 g, v4 r/ S; D
9 R( N' U5 s. o$ ^+ B5 `$ X# B
]) o/ U- E* u0 X* c8 _+ B
1 T+ a" R& d. s, y3 Zpatches-own
6 j, A2 N2 O! d( z# U9 L) S[
( p2 G; i* M1 U4 t, d9 u- Q7 n grain-here x4 @/ @" K v; S
max-grain-here , e+ c1 w4 w# d% T
]
3 G/ C$ E+ [9 H6 u# G1 _' w+ O' `, c) [
turtles-own7 ]+ C' l( m1 k( @* L
[: Y$ L6 |4 a/ A2 U; @" \
age $ V: u" |- k2 M! B0 a7 V
wealth " `# D( _; K2 {) k: k: ^$ Y
life-expectancy m: b. h M3 a# ? k* n
metabolism 3 ?4 b: W6 }! |
vision
9 U O3 @4 R7 j l* L; R inherited
8 ~2 l m/ ~7 W]( J0 b9 E& n0 }- k K. y: I2 ]' W
% {7 z0 V6 G! o5 U# {$ g
h8 ]3 w& K" k9 z* Fto setup7 h1 u, c4 m4 W6 f
ca
; W+ P$ R- v7 ^9 J }% ` set max-grain 50, [' ?( Q h2 F
setup-patches7 R3 T4 ~$ f& k k9 n0 j+ ~. m
setup-turtles
$ @- `. R# N8 M! e9 S& B ~ L setup-plots2 y, D0 ~+ U c$ Y% V
update-plots$ b* S# f. p8 {1 {5 F4 ?/ @
end
6 z% l3 s# V7 l' J2 uto setup-patches
/ v. f% w( [* Y, v9 H ~7 q! q3 T9 ?+ Q3 O3 m ask patches( e1 i+ o& o; p! Y1 |5 M
[ set max-grain-here 0
7 R7 [( s6 a) n$ h if (random-float 100.0) <= percent-best-land0 f6 q' H/ i: ?9 G/ @1 O8 N& y
[ set max-grain-here max-grain
+ I4 h' n% K( u) Z set grain-here max-grain-here ] ]
, E" U4 R7 K% x, A @5 w repeat 5
! X S' H C+ u6 x: C5 ` [ ask patches with [max-grain-here != 0] `5 M2 M9 J! m) G
[ set grain-here max-grain-here ]
4 r1 A- o: v8 W" C' O! r0 v diffuse grain-here 0.5 ]. y& U! }' E- p% x9 o$ v7 f
repeat 10
q1 V4 T& |/ X" K; w# W# h [ diffuse grain-here 0.5] ) B1 @3 h, J6 a
ask patches H; u6 y. m7 u% J; }0 \- h
[ set grain-here floor grain-here
' b5 \1 s& D) S' {& S; C set max-grain-here grain-here
2 g: Q' a$ g4 z! p, P9 Y, a! a9 f7 Y recolor-patch ]7 `, r$ h+ Y2 ?: @- j3 Z
end; B/ p3 J, v& z, ? G
to recolor-patch ! P0 ^9 \4 \& s8 Z W7 l
set pcolor scale-color sky grain-here 0 max-grain; K* h+ b% {: ]2 C- h! H8 G6 r
end; C. c- g% O. m) A6 W7 J
to setup-turtles
% q/ J# A0 J- M2 E/ @( e0 ^ set-default-shape turtles "person"
L1 A& n/ N, [7 x, e crt num-people7 A& U. V, m$ t* M$ r
[ move-to one-of patches
3 n$ l, x, y9 [/ Y7 V set size 1.5 & b6 g* [5 _- W' F7 B
set-initial-turtle-vars-age x! I; B* D$ x8 e" b+ _
set-initial-turtle-vars-wealth _, p i* |* v1 ]
set age random life-expectancy ]
( F( ^5 F5 R( K5 G recolor-turtles
- q5 [4 F& t, @* g X8 A5 iend: o+ @2 V e+ s9 U/ T
' y4 f: x; C: M8 {+ W4 e, Jto set-initial-turtle-vars-age
# \# J4 b2 r! w4 K0 b' m; L let max-wealth max [wealth] of turtles
) ]+ D$ b8 h4 e) z5 F
& N3 ?* P" y1 f4 ^ ifelse (wealth <= max-wealth / 3)
. J/ y2 B% f1 d9 G% C [ set color red
; l. C- Z# F8 y) Y$ Y- k" S set age 0# S4 K( a5 k) K& J" t% x: ^3 h( @
face one-of neighbors4
0 d* @. |8 E! u* Y _2 m" { set life-expectancy life-expectancy-min +0 t u1 C; e1 V2 I! y6 H1 a9 E; J
random life-expectancy-max % ~* p5 J: E4 C. h5 W6 \
set metabolism random 1 + metabolism-low0 q) {* j8 o1 T+ D
set wealth metabolism + random 30
# M T) o6 S: k# a' L. E; s set vision 1 + random max-vision
6 g: V+ _9 @6 r+ P5 y0 v! k set wealth wealth + Wealth-inherited-low ]& V/ {" z+ b7 v' U' k
[ ifelse (wealth <= (max-wealth * 2 / 3))4 ?2 P8 u) u* u) K2 n8 P
[ set color yellow * J# }- E: W/ Q0 j6 _
set age 0
" w7 u! t3 Z$ m6 _( E0 h face one-of neighbors4
$ G3 z+ i# x' j set life-expectancy life-expectancy-min ++ W7 d. K' @" _# K+ w( Q& ]
random life-expectancy-max + 1
7 \7 S" _; T! [. S9 }; R: \- C3 R set metabolism 1 + random metabolism-mid4 ^$ s) T e) h) H4 s$ m
set wealth metabolism + random 307 e, ?! r& u2 G) \
set vision 3 + random max-vision/ n4 [) [7 q# `2 X7 b" H" p
set wealth wealth + Wealth-inherited-mid]
3 Z' g" `4 {, G4 y( u [ set color green # }9 T3 l8 C! ?2 k1 W) P$ X
set age 01 [9 L( @4 E' Y( D0 n9 z0 d
face one-of neighbors4
# x% a7 T0 L |" ^ set life-expectancy life-expectancy-min + g6 z3 E) n0 P3 A0 k; B( h7 l: f
random life-expectancy-max + 2. F. @! h2 H8 S% F5 _ |3 F
set metabolism 2 + random metabolism-up
9 |; B1 h" y5 j! \" z! P set wealth metabolism + random 30: v0 T9 ]# B, Z$ O6 Y* k% P4 t
set vision 3 + random max-vision
$ z1 k8 S6 i; R w- k% W0 p set wealth wealth + Wealth-inherited-up ] ] . }2 H' H& x1 r* f; }% g; c& i
; u" J2 Z9 J( y/ T7 oend3 E# J( I7 c% o6 [- k1 i5 i! R
to set-initial-turtle-vars-wealth
3 F- i7 I t q4 p. `" z; j7 X let max-wealth max [wealth] of turtles
( X' A: ?8 Y8 | set age 0
. j# M% _, w) I8 k2 [0 o& h face one-of neighbors4 ) l, V( a" h& p G+ ^
set life-expectancy life-expectancy-min +; q! Y3 T0 [0 @+ p3 a/ z" R
random life-expectancy-max + Y4 A, _6 W! N; L* ^3 G
set metabolism 1 + random metabolism-up
, \, ]' l$ Y- w. B5 Z5 l, R set wealth metabolism + random 30 [; k6 K7 q8 R5 f+ q8 A* i! p
set vision 1 + random max-vision $ h, U5 R0 W1 j; h1 y
end7 g& X2 P8 H5 w' U% R# C8 w6 K: |( c
to redistribution+ n6 v" e% v! L* |" a9 j
let max-wealth max [wealth] of turtles
4 {' q6 z) `; glet min-wealth min [wealth] of turtles6 c' Q9 o7 Y& I, F' _! v
if (wealth <= max-wealth / 3)7 _- B0 _6 F3 t( G" F6 L1 U( q4 R
[set wealth wealth + Low-income-protection ]
( M) [! s* g; B: Lend
5 N/ ~& U l" I5 Y( u$ D4 ]* Y : M: ~+ O) L. ~. B: `) B, ^
to recolor-turtles
. J+ S: X( X: T let max-wealth max [wealth] of turtles$ v: x+ N5 U) d4 }: S# ~
ask turtles% v. I& o1 s, @, C" z# R
[ ifelse (wealth <= max-wealth / 3)
0 K7 P% \( M. h b8 j7 p6 g1 } [ set color red ]
$ r! l- J9 b9 p- a" q d9 x [ ifelse (wealth <= (max-wealth * 2 / 3))8 n( D0 u1 P: z- [' g3 r: E9 D
[ set color yellow ]7 I5 G8 D8 H' Y* p4 Y9 u5 m
[ set color green ] ] ]) @9 N7 V6 K8 Y+ u
ask turtles [ifelse show-wealth?
+ Z8 ?4 W) w2 H [ set label wealth ]4 |& v, U- n& S. l. C% _8 c: X; ?& D
[ set label "" ]]
: t4 u+ V6 i$ Q2 y- _. Mend
6 v6 ?" U) v1 r5 j! l
4 f9 O; L1 t: p: lto go
: x5 t! D, B n. M4 Y8 J8 h1 j ask turtles
8 W# r2 H. f) \' @- q [ turn-towards-grain ] 3 u2 O; X5 i6 x2 E/ E9 C1 d/ R
harvest
# |- G2 ?2 Q6 G: ?* i ask turtles
; m# Q+ V# X/ M& B# n7 p [ move-eat-age-die ]' _8 _/ V9 z [- e
recolor-turtles1 s9 I7 Q5 [% {
if ticks mod grain-growth-interval = 03 ]& a0 s5 |2 k" V) h, q
[ ask patches [ grow-grain ] ]
& E/ N/ r {. S' {) @ 3 s2 ?* ^) ?% _% T- W& W: }
if ticks mod 11 = 0$ r' q/ w( Q' _. d( p. I1 V p
[ask turtles. y# _# v& u9 Q7 B0 V' t, b
[ redistribution ]]/ `" c3 k8 Y0 J- I m+ T& K/ P
if ticks mod 5 = 0
+ F- r/ Q; w6 q5 e: I! a [ask turtles
- i! a5 F. j! g/ Y; T+ g [ visions ]]! r+ W- m) W- `
tick7 Y) m1 A ^5 D/ I6 @& s
update-plots1 |: {9 C& _. U9 {* C$ }6 P J" Z
end' ^! M5 c3 _* k3 f4 O+ t
to visions
0 r7 x, L: E! g" Q set vision vision + 1
. G! V* p2 s2 ~end
3 s: u' y+ w8 T0 r9 _8 {: |" Z* T8 O/ I
) W( R3 g- f! W* o
; _) |% [1 i5 y0 a9 [to turn-towards-grain
1 r7 X1 ]( ]6 b8 h set heading 0- W; E# p) {; B: i0 j% K1 {
let best-direction 0) H% m: V4 n! Q/ N. T6 k
let best-amount grain-ahead4 u+ U7 p9 U+ m
set heading 90* n& \( p4 j/ Z5 k. V! i/ a; A+ n
if (grain-ahead > best-amount) ]* A8 A" o0 h3 W
[ set best-direction 90$ D9 ?. y3 b$ `( B% _
set best-amount grain-ahead ]
% |2 Z0 X0 E8 \3 m( h i1 @ set heading 1805 g2 y+ a6 w% H& [
if (grain-ahead > best-amount)
( \/ u) E7 \* x" K/ S6 t6 N$ s [ set best-direction 180/ t$ D# n h, V, H
set best-amount grain-ahead ]: H8 u, F: \8 H1 l6 |
set heading 270
4 {) c! F- h8 ~' o8 G/ \ if (grain-ahead > best-amount); \5 d5 ?( n6 B. y) Z- f4 O
[ set best-direction 270
' P/ @ A5 d2 g set best-amount grain-ahead ]; V' \: ]6 N9 C" ]! g9 X
set heading best-direction
* q& ] p n. Q/ [8 _1 F' iend. C R# Y ?2 j. A3 G% m2 {6 I6 G
3 M+ S1 }5 D& n8 h8 Q) K+ j- N, b1 [. N
to-report grain-ahead
- S& Q3 f' ?9 J let total 0
* s1 @. e% R, z5 M let how-far 1
, [# P) Y" ~ a8 E* c repeat vision3 T/ [; J2 q( } R& B7 g
[ set total total + [grain-here] of patch-ahead how-far
# T: M" E; ?, Q' V- C0 D+ D set how-far how-far + 1 ]
7 y. n( D* C" c7 U+ `! r report total
' N6 C4 A' y7 e% x g$ {& Zend, ^! c+ a3 e Q
9 B' P8 l, S: A1 q( }
to grow-grain 2 x' t: ?1 j# d) O9 ~' F c
if (grain-here < max-grain-here)
- Z6 d: { h4 q E; n [ set grain-here grain-here + num-grain-grown
2 X* N' E. r) M" Q/ B' L0 A# x& { if (grain-here > max-grain-here)
- e: m6 m: x6 y, v [ set grain-here max-grain-here ]% y% h( _1 C# z$ K( \0 {
recolor-patch ]
0 {, H* O7 u+ O8 xend6 C# K, y- [" @
to harvest
0 T/ p! n. N6 G+ O5 j ask turtles
4 |6 t3 J2 N! h% |! p [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]: P B. K5 w* O) e7 j, R" C5 G
ask turtles
c* v3 ^# x+ n+ T! t$ T [ set grain-here 0
, {5 a R6 B3 F( j recolor-patch ]
! L' u; S# h$ w }: \
; O" ], ^5 a4 ?$ A" xend
& V) U( i9 ~+ x( f
2 j& j! P5 h3 G, l. R+ v+ Mto move-eat-age-die # o6 o; o# h' M; u, ~
fd 1
* t, X4 Q0 f1 P" ? set wealth (wealth - metabolism)
/ F" I- _" Y8 z! V( t" m set age (age + 1)- {0 y8 ^7 w. I ]" o
if (age >= life-expectancy). U* R( _' t+ m# |; Q
[ set-initial-turtle-vars-age ]6 A! X+ M4 p6 O' a3 T( L- I
if (wealth < 0)
* S) g: h* W) u [ set-initial-turtle-vars-wealth ]
: d& X1 Q8 ^' \ , V P# ?* f, C
end: ^. S, y3 I6 ?
e" {. h$ D( q0 H- w' U
$ g$ A% r$ L& @% n' Z; Y( A' v+ B1 Fto setup-plots; u, H* C S1 v. ]: T+ p' X
set-current-plot "Class Plot"3 Q$ Z; b% f2 n2 M
set-plot-y-range 0 num-people
7 G0 X! ~; g, L set-current-plot "Class Histogram" @- k7 O/ T, |7 \
set-plot-y-range 0 num-people' `7 A% E5 o( | l
end
1 u1 j+ V& |1 N, `/ i6 D6 i7 C) W! I+ Q+ d a' ]+ u
to update-plots) }6 L% p5 ^+ O' W
update-class-plot
. A8 g1 [- V- l5 v update-class-histogram
2 U" k* W5 S9 W5 d5 Q( P update-lorenz-and-gini-plots9 M* X* z7 M0 b; s U: P2 Z
end
, B. S9 ], N0 p: o* v' n' A
1 G5 z% T ?0 i* h. V. m+ ^to update-class-plot: n% z( n. r% [! Z8 r+ G! K
set-current-plot "Class Plot"/ w! S8 o! Y# d6 r& ]5 D
set-current-plot-pen "low"
9 h2 C# K* F( L' W& ?" z plot count turtles with [color = red]
7 b9 H$ {9 D+ S* Q( o" p7 \ set-current-plot-pen "mid"
- g6 C5 P }- K# N& }/ D plot count turtles with [color = yellow]$ A: {. r4 H0 @, f
set-current-plot-pen "up"
' z( ]4 V/ I0 _6 O4 x8 W plot count turtles with [color = green]
) ?2 A" P9 n" j7 Gend
$ _, C) p% X! I3 R3 r" r$ l, L. o' i9 s' i5 i
to update-class-histogram
( A) E% n4 S* X" i3 m- H6 } set-current-plot "Class Histogram"
0 c/ C2 G5 `, `' P8 L. B7 @& ?5 p plot-pen-reset
" Z b1 d( Q6 ]% ~& S% ?, n set-plot-pen-color red
* ~/ C9 y( N9 c6 ]9 d1 m- b7 q plot count turtles with [color = red]5 n6 F+ G' t* R; T
set-plot-pen-color yellow
% \* {& f6 E! `+ |" O plot count turtles with [color = yellow]3 i3 G' G8 ^2 c Y( Q9 B
set-plot-pen-color green, H$ N9 W: B; l9 R x9 `- w
plot count turtles with [color = green]
/ u5 Z3 ]7 d1 f8 D) b: ^end
# B. ^! E4 M* T4 {9 nto update-lorenz-and-gini-plots
1 Q3 H/ d- q& R5 R1 O# l set-current-plot "Lorenz Curve"8 \* T8 V/ v* v% l, H1 \
clear-plot
( z# M6 e" i* c" e* f# ~, A. o, Q6 O4 q2 K+ c( C- n8 a, |
set-current-plot-pen "equal"
/ ^2 T. x1 |$ B! }; y7 l plot 0
( w! m: Y% F! B. ?* u* N% g plot 100
I ]( r6 f) j& Y8 e" Z! t: \/ @& _/ l' H
set-current-plot-pen "lorenz"8 D1 X2 j8 p8 ?9 o) Q+ [0 J6 n
set-plot-pen-interval 100 / num-people# J+ y1 e+ E4 x$ j2 }4 k6 @, N) b
plot 0
5 v& z J4 B2 h. ?- T" B4 n. Q0 B! ^+ `, ^0 e# E
let sorted-wealths sort [wealth] of turtles; }- M0 w% l I" a. y
let total-wealth sum sorted-wealths8 D0 V( f3 N( ^
let wealth-sum-so-far 0
6 L& P& r) \5 Q* U* v5 S( ] let index 0+ l9 ^% l% i* C
let gini-index-reserve 0% M2 f) m5 Q1 e2 g* G7 o
2 ]0 k# J+ d( y# H8 A repeat num-people [) T2 K0 o( t, \
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
+ ?& m5 e" S& X1 {3 j2 h7 y plot (wealth-sum-so-far / total-wealth) * 100$ F3 j6 u: G3 g
set index (index + 1)
" R6 c- |3 X0 b' W0 A set gini-index-reserve
+ Q: P7 B4 J1 }% A7 ?: M R: a4 K* S gini-index-reserve +4 d! h0 Z! d4 ~
(index / num-people) -1 C" v4 [' I9 @; s7 [- E6 w" A
(wealth-sum-so-far / total-wealth)
1 _5 J4 d w3 ?* J H* w- j ]
; j4 @4 t+ X W0 O; B% y( r6 ]$ T6 I7 D/ s
set-current-plot "Gini-Index v. Time"
: Q8 O2 f- F+ D2 Z9 { plot (gini-index-reserve / num-people) / area-of-equality-triangle
& ^* P2 q3 v& p. L! n, Uend8 U: u# C) Z# z+ W, [2 V) a
to-report area-of-equality-triangle: ]/ ^) c6 S0 q" O7 w' Z$ H, P* w
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
: r. Q# ]1 m6 C+ Y4 _& e/ A l2 kend |