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* V, X# u2 b' O# a1 I) S
globals7 ^0 P& |' n v$ U# q* `* Z
[. }$ T3 A4 q2 d& R: I4 d. J
max-grain
8 j' @/ M; H9 Y& s4 a: K" V p, ~5 W4 L" }
]
, S/ [" x/ d2 V8 R% |% W+ c4 P9 I/ Y
patches-own6 P. N5 _0 x d0 M" i# C
[8 e1 I$ E- G- Q; B- z% C
grain-here
" u z! ~) ^$ ?! q. T. R0 p6 I max-grain-here ( d* D) K& a+ E. O
]
" x9 B3 c: {% W% {( F$ U7 P3 `# L* U6 p7 @% u3 C
turtles-own
* J/ K/ @+ k1 o[
; h% m# u+ I2 g age 3 L* [+ F1 ~5 G% D; c, q
wealth
1 k1 X _! W$ N2 G& P life-expectancy
* A: J( I) F2 s2 R9 R8 V6 c# T7 Z metabolism
+ L I) y) z& I4 n& \" w4 a9 R vision
( A3 f& N: y6 b4 ^& m$ _/ {- x inherited
0 D0 B9 L C/ P0 h# n]
3 D: G8 D) m$ F" f8 |
' a3 e- h. o8 ~# a8 p
9 O A7 e6 F$ o- G+ e0 i% I7 bto setup2 A# t" r$ ~1 i/ [4 w
ca
3 Z) i# I+ _3 l( q0 M6 A( [( c set max-grain 50, A- i- h, o& p, j* r" t
setup-patches
: X( |3 t( E" D3 H& g a setup-turtles
8 x- P* V( i6 K" n5 e setup-plots- v$ L- h: O l- G( \$ r# c
update-plots9 T" G3 D" s3 T) K5 D0 U
end' q6 I$ O4 U" n3 p: _
to setup-patches7 h+ V' @" z( c2 h
ask patches' g4 g4 \ L: O$ W" `6 D
[ set max-grain-here 04 ~( x8 n* u2 Q" Z$ p2 H
if (random-float 100.0) <= percent-best-land
- j9 U2 E- a8 ] [ set max-grain-here max-grain
5 P O! x: w& W" N/ J% H" C8 F set grain-here max-grain-here ] ]
" @" S2 v. l- N1 ^8 { repeat 5
6 _% m5 C8 `3 n& ^ [ ask patches with [max-grain-here != 0]: X* N* s7 R$ n/ G; R1 D
[ set grain-here max-grain-here ]/ [! a6 f; y+ q+ d7 |, j! ?
diffuse grain-here 0.5 ]* i5 z0 X' L. Y! Y1 V* A+ ~
repeat 109 A( Q5 H/ X8 l1 ~. C1 [: t0 Q7 I7 f
[ diffuse grain-here 0.5] / ^6 ?; Z F- q( S
ask patches; D# ^# X# c' ~+ z4 ?0 v) O0 H5 b3 ^
[ set grain-here floor grain-here
9 l( i5 r( q) E, |" e set max-grain-here grain-here + @2 S( r8 E9 p3 s: @( G
recolor-patch ]
+ E1 a5 T5 w! Aend. O9 F. }* F6 g* k6 z' ^
to recolor-patch ; I/ _+ @" I! v+ O( Q0 u9 E j
set pcolor scale-color sky grain-here 0 max-grain2 u! s9 b# z6 ~1 H3 z1 o$ H3 \
end
, n$ A G# z) Nto setup-turtles
0 r( x5 ?; n+ Y set-default-shape turtles "person"
/ r0 l9 ]! A# @: m5 b5 `' Q crt num-people [ q- ]) ]; H$ Q6 m
[ move-to one-of patches
; A( r6 d- e/ D' o set size 1.5 8 E. `1 M8 u# E; o6 |6 @/ e0 M- ~
set-initial-turtle-vars-age# f9 j$ _4 k( D4 V+ Y
set-initial-turtle-vars-wealth
- @; y* _6 o. X, S% P7 } set age random life-expectancy ]
, Y1 X s+ {4 K) R. ^5 J" r6 o recolor-turtles/ S' y/ z0 w% @' l
end
! V$ C4 H6 k0 j' J4 h7 E8 x* G6 s$ a- ?# e$ J; \
to set-initial-turtle-vars-age
' t4 S' @# c/ i2 L1 Q9 ^" V$ q- | let max-wealth max [wealth] of turtles
. K# v4 Q4 ]$ e% e
) Y9 j, ~0 J9 f$ P ifelse (wealth <= max-wealth / 3)( d: u& ?9 S" i$ N; o
[ set color red / ^- n6 e2 P& u: d6 L) y
set age 0
$ h- @4 F/ V; b% u" @4 a5 x4 H face one-of neighbors4
+ X& k) t. |' R/ w8 h/ u set life-expectancy life-expectancy-min +& \3 R1 L& ~4 Y" X* g
random life-expectancy-max
6 I6 {; F5 p8 F! u [( w set metabolism random 1 + metabolism-low' X. J' I. \$ m( {
set wealth metabolism + random 30& r6 J5 s! v/ Y* v
set vision 1 + random max-vision
' Z6 y8 L* D1 `6 w4 P" p set wealth wealth + Wealth-inherited-low ]* B8 H& H% |+ g) n* ^: G7 {# h
[ ifelse (wealth <= (max-wealth * 2 / 3))* n2 S9 e' [/ N; Y1 f
[ set color yellow ) y/ v+ Z( ?2 G
set age 0
+ c" o9 y4 X/ l6 H/ n# ?1 X2 ~ face one-of neighbors4
+ ]' [$ v8 G- @6 M# R0 ?. S6 G' U set life-expectancy life-expectancy-min +) U# k4 k0 r X
random life-expectancy-max + 16 M+ h! @, O* o' J: M G
set metabolism 1 + random metabolism-mid
9 N3 T: z; g5 z) r% ?# S set wealth metabolism + random 30
& [# z) w( J8 |( @# h set vision 3 + random max-vision% X. { }1 M# f( p U
set wealth wealth + Wealth-inherited-mid]2 E/ [- K0 d8 B. [3 b
[ set color green
& F& y- x5 U/ K2 V5 G- m. g7 b( ? set age 0$ C- s" K# b- c5 S8 E$ \, m
face one-of neighbors4
4 t& u0 }5 r1 _; j$ l: N9 A. Z set life-expectancy life-expectancy-min +
' _3 a( h, j/ n random life-expectancy-max + 2
' _$ w s/ d3 J, [; C" P [+ C. }1 x set metabolism 2 + random metabolism-up
" A5 w# ]! `# G; e set wealth metabolism + random 30+ {) ]( J) [; ~- G# Z
set vision 3 + random max-vision
& j+ Y# B& V% O g6 |: E9 h( ^2 m set wealth wealth + Wealth-inherited-up ] ]
% E2 _. x: l) I6 |4 h) h4 C 2 n7 {- {0 ^2 d! h* f, B0 J! d
end9 V, l* L% W& T4 j
to set-initial-turtle-vars-wealth
9 T4 |6 c4 J5 U$ l( x let max-wealth max [wealth] of turtles1 t6 n$ I, z5 b X( {4 {
set age 07 w+ n, j+ s6 f% [% Q
face one-of neighbors4
' C- q( g, z# o9 P; O. X. W set life-expectancy life-expectancy-min +
+ m6 g" x* w. e$ I- A random life-expectancy-max
' _' m; I: {5 u6 G3 S- w set metabolism 1 + random metabolism-up
" m" D, Z* u; H% [: I set wealth metabolism + random 30( e7 Z8 ^, P0 j! |( B* U" ^" {
set vision 1 + random max-vision
- a6 d, C9 @% Q! E& E, ?$ I2 ]end
% A+ ]6 Q4 l4 @. x0 M* [" ` k5 e, Lto redistribution! s g5 S* t9 X4 g1 t# ^
let max-wealth max [wealth] of turtles p, p: p/ L" q: M+ g
let min-wealth min [wealth] of turtles! t, h4 ?* r4 r0 l5 Y
if (wealth <= max-wealth / 3)
& p& z+ e. O, ] [set wealth wealth + Low-income-protection ]: y. Z* ] P+ f5 o* y( n# H2 I9 U" U
end$ E/ l6 |4 A8 b2 O1 _. T) \
& X2 p4 ?4 Y5 `2 |6 vto recolor-turtles, w m$ l) o8 z' ^* o
let max-wealth max [wealth] of turtles
* Q( m# j% z. P& H' V ask turtles
& s$ y* [) Q8 X [ ifelse (wealth <= max-wealth / 3)" \7 A p3 R- b" T
[ set color red ]: L! k- j7 H8 G, \( k0 B; D
[ ifelse (wealth <= (max-wealth * 2 / 3))
6 z4 u7 H" E2 k" }2 A( y [ set color yellow ]
M) l/ F# Q! m; D [ set color green ] ] ]! [3 `/ B1 H; I; C- T
ask turtles [ifelse show-wealth?
2 m7 s( }2 `, h; q* ?, S, \ [ set label wealth ]# _* w$ W$ `: B
[ set label "" ]]
. ~# i2 |9 ~- a+ t/ v$ W: E* x1 t% i5 jend
! L, m7 L- x- Q b* h9 ~
; c! @' V) R! k+ b9 P& P+ [- ?to go T/ f2 c# T% Q$ \& Q {4 J4 U4 w
ask turtles
2 p$ P$ k- B4 F9 s( \; ` [ turn-towards-grain ] + I9 v! r, k. [8 }: n
harvest
: r, H, [- A( o ^ r; f ask turtles1 d. c+ Z; n6 y3 f
[ move-eat-age-die ]/ `3 V3 h0 k" `* Q* _* y
recolor-turtles
. {4 h# \$ I% s2 c6 I+ P" g0 p if ticks mod grain-growth-interval = 0
+ c- f. {0 ~7 F" f/ ~/ Y [ ask patches [ grow-grain ] ]* Z1 V; N; T1 d9 {9 v3 i2 c
" v; G1 g% N+ j( D: W; d& K4 X
if ticks mod 11 = 0
6 g8 T, K: ^4 M+ i3 J+ g4 V/ i [ask turtles8 r! ~. {" L2 `/ P `
[ redistribution ]]$ d% ]% q& Q! v1 [# J
if ticks mod 5 = 0% N1 H5 }" x$ [9 ^
[ask turtles
: X6 A3 m" c* P5 x [ visions ]]) |; c, \: l W6 m
tick
7 V8 ~% f% d) B- r* l. o update-plots
. [+ c8 p! L" A- s3 v! Wend
, L$ ]& e7 I2 s6 v9 @& L9 Oto visions
) v" D: o e2 x5 c" I, K3 n set vision vision + 1 , |* n- ^5 J% d( v
end+ M, q) j: L W7 f; C) g. {$ e" r
# H" [* J J3 a9 A3 J( ~
& {/ X- o; D; b0 b6 X- W
+ H. m6 [0 `+ J1 e
to turn-towards-grain
. S- S n% P, S; y) M" b set heading 0/ d5 r* o7 j' i; z6 B% C
let best-direction 0
/ e# _( Q, Q3 ~6 O3 a let best-amount grain-ahead
" s! j" E# h% Z* Z" K* R set heading 90' V1 D1 d: g' |3 w- l+ b. [
if (grain-ahead > best-amount)
5 H; I3 j. x& C [ set best-direction 90" B7 Y. x# q- V. j0 X
set best-amount grain-ahead ]
. g. M n+ S0 W& u3 G9 Q set heading 180, `5 ~9 ?6 j2 i' X4 M1 K' ~8 B
if (grain-ahead > best-amount)
# H7 i3 Z" u3 Y3 P5 X& D" J1 ? [ set best-direction 180 I9 s1 B/ M4 {- T
set best-amount grain-ahead ]( E1 Y$ Q1 W: }
set heading 270
; M' e6 E. V; S if (grain-ahead > best-amount)
: u* @' ~, m1 F0 {1 t [ set best-direction 270
( e* A S$ W, u" c5 j, E set best-amount grain-ahead ]
$ P( S8 h2 V/ Q/ o5 ` set heading best-direction% w4 }& U7 e, N+ [0 o
end
! K+ g3 j* V! L" r. l4 O
3 r& b# ]1 E9 w, I; \1 N. ^" R1 r; c% N, x1 ~" i
to-report grain-ahead 1 m: a+ Z7 K& z& u
let total 0$ I# i9 | t& r4 I# u8 m( ~
let how-far 1( m1 h7 P( D" R& y5 h3 U1 C3 }$ n
repeat vision8 f- r( o/ K. w( i( X
[ set total total + [grain-here] of patch-ahead how-far. ~4 V/ P4 o) e9 v, m* c2 h* ~
set how-far how-far + 1 ]% m# B& T- z' F# i0 J& m
report total
5 A' r3 u7 m# K( Y0 Pend; c' t: X. Y3 R, C( W
- @" Y, L/ N V7 O
to grow-grain
# G; N: a# z1 b9 u if (grain-here < max-grain-here): H4 s5 y7 {) n. s1 B
[ set grain-here grain-here + num-grain-grown
8 ?, E6 ]. x7 w* u if (grain-here > max-grain-here)
- e& _& J& {; F) c+ t' u, Z8 n [ set grain-here max-grain-here ]
; q; W: u: N5 H. A/ V+ V, G recolor-patch ]. j5 B! E V7 \/ Z. z& {! W; _& ?4 f
end5 l) C5 k2 U# b$ X
to harvest
2 V2 a9 d* ?0 B. ^) |4 \- k ask turtles5 g/ l) E1 [$ s) E8 y5 a
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ] [; W- t: _, }0 j+ O. \
ask turtles
) m/ Z" B9 d( [4 k5 s5 s [ set grain-here 0
# n/ p, Q7 F. C' a( }/ P M5 J- C/ } recolor-patch ]/ q# t* I, I: h: @- d
$ `. B, ~+ d ?: qend. b7 M7 t$ _* }
' L8 h9 `7 }9 W7 u( w
to move-eat-age-die
; x8 H- d6 a" r fd 1% B4 O8 u7 j9 Q. d' T
set wealth (wealth - metabolism)
1 Z7 n3 N7 p u6 T: W, k! z set age (age + 1)
6 M8 k9 C2 X! T2 B- J0 }$ B2 e if (age >= life-expectancy)
5 ], a- ~# L9 V# b# C: I* V7 g% m [ set-initial-turtle-vars-age ]5 d& f5 \; K8 a* Z1 k! ^ w$ `
if (wealth < 0)
7 F$ W% X( W& X5 f; ~ [ set-initial-turtle-vars-wealth ]
$ I0 C" e# W* Y1 A* }( O/ g& K ! ~4 T' F: R% V4 d6 p: F
end
8 e0 P7 Y& [* K& O6 |9 A0 D( S6 j2 i8 }9 {9 v
9 ~3 y! u1 I z( B! c9 R
to setup-plots
6 q. ]+ ^4 I6 [5 t* v( T5 g5 w2 t* L/ C set-current-plot "Class Plot"
( V2 K2 ^ F' i- M set-plot-y-range 0 num-people
3 D, V3 z. R% M& A f$ Q set-current-plot "Class Histogram"
0 S' T9 \, q% Z2 ^1 z set-plot-y-range 0 num-people E0 U c$ z- S9 c
end
4 e4 v& _& O6 w3 U& P; b5 `' w. w" I( X' O' X* d
to update-plots
% ~( L; j3 _9 n" f( l1 I update-class-plot( K3 x: Z2 Z6 X% J
update-class-histogram- \* _* E: `2 \
update-lorenz-and-gini-plots- O$ i u$ Z* N
end
2 Y6 r: {4 r% C, a3 {, s: V- G$ b1 T" ^, Y O$ |
to update-class-plot1 j# n; C$ F1 s" M5 g
set-current-plot "Class Plot"4 B1 g4 Z0 F5 ], r, H* s" [
set-current-plot-pen "low"
2 u9 K" W! ~% J& } plot count turtles with [color = red]
/ z7 q6 G1 Z( G" l! | set-current-plot-pen "mid"
, A) _$ y2 i, Y' I `" M plot count turtles with [color = yellow]
& R# R6 \: Y/ _8 | set-current-plot-pen "up"
( r* l7 c+ w& U1 e plot count turtles with [color = green]
4 e# q4 W. W( k( n+ N, [end
3 ^$ `" ]' a- `0 |6 g+ ]6 Z4 g" K5 ^' e8 W& `* r3 l; z5 w
to update-class-histogram7 H, J2 Y' `9 r6 F
set-current-plot "Class Histogram"1 G6 E% h q* |7 h! @& R
plot-pen-reset) t' E6 |0 n- r% y
set-plot-pen-color red
6 y, o) Y/ d: T' ^: X: [ plot count turtles with [color = red]
8 S% \3 h3 o7 S* t! Y set-plot-pen-color yellow
5 Z9 Z$ M- i! {! R9 I) S plot count turtles with [color = yellow]; u1 q6 O7 Q% J# \* |
set-plot-pen-color green/ h7 X( m U0 M; M( Y2 x. j
plot count turtles with [color = green]
% w. D, B- }; e4 `) ]) nend
3 r6 a# V( c# e% Ato update-lorenz-and-gini-plots
8 i% l! H" \" {# l set-current-plot "Lorenz Curve"
( N! S1 p& v- @# j: k* y clear-plot
1 X- Y1 U8 w# U: d. g( M
: E P, F G, g1 l, l0 ~ set-current-plot-pen "equal"
# R3 G6 P& }) A" ` plot 0
+ n& x. U- k2 [1 j0 b# N" Y7 Z plot 100
4 f0 j/ \0 u. a: q6 |2 A( l+ M/ J3 x1 V
set-current-plot-pen "lorenz"
( J- z- a6 M h+ W5 v7 l) z5 m* F/ J set-plot-pen-interval 100 / num-people
: e" G& d. R. e3 o) P @7 W* G plot 0
$ G c4 b# t4 G5 Y! `* @. i
+ ?9 @" _& A% ?; u: h; S0 G let sorted-wealths sort [wealth] of turtles
W) N! \, Q2 ^5 c& V let total-wealth sum sorted-wealths' D( h: G( [3 P9 F0 P
let wealth-sum-so-far 04 M: \ z3 K9 z# T0 e+ p
let index 03 o# k+ K. q. h$ Q' `' ?
let gini-index-reserve 0* u E; N4 ~* |' K" T- a
; N1 ]9 a: c4 |/ V. P/ a' T1 q* i repeat num-people [) O& o& ^; J7 f$ r" _
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
1 x0 ]; f" M- F plot (wealth-sum-so-far / total-wealth) * 100
0 t' i8 D) |9 N, S* P0 Y7 p- s set index (index + 1)
; ~0 _+ P0 O! q% @+ @ set gini-index-reserve9 c ?* _2 M" l W# y2 _
gini-index-reserve +" U- g3 P( T9 c6 O2 A7 I
(index / num-people) -
7 L, h% n: |0 A5 W# f) V* o (wealth-sum-so-far / total-wealth)$ O5 V5 a2 q" Q% D
]& A% H, e( c/ [7 s! f
. ^: _& l" `% Q" j3 b s: [) [
set-current-plot "Gini-Index v. Time"0 p6 `- a6 i6 r& {/ M" }# Y: H
plot (gini-index-reserve / num-people) / area-of-equality-triangle. f& F- b0 W0 R" p& Z
end6 F: K- ^& A; Q1 X4 r) U
to-report area-of-equality-triangle1 N& }0 m- W! a; \* R$ n
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)" x8 F+ k. A6 ` C
end |