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
: f% s! E$ M& c$ nglobals
# j. \! {0 L2 l4 R, s[7 k) ?0 H0 J$ d8 R1 b5 U& k
max-grain " i/ @ I, m# j% c2 q4 |/ F
- |1 C ?2 i/ C1 z0 J7 R( J3 c, x]
! o4 v. A+ |6 q5 G' v7 y( z5 O: x- A9 {
patches-own
2 c7 w2 ]4 t# U' F. u$ ?* [/ [% \[
: D8 O( _8 @7 Z, @) ^$ }( G grain-here 7 Y4 W% X* Y) _% A3 u6 L# _
max-grain-here
8 Q& ? K, y. l: l) y; |]/ {! N& S+ Z2 {) C9 R$ L
/ C1 `! i; @0 i4 b
turtles-own
! J2 r8 V% m5 Q! {( ^( T/ s/ @& x[
7 i8 p: w: T5 a: V' M. L' c age # D+ I7 Z9 M$ e$ ^0 S6 B! k! a' g
wealth
. X5 T( r' H/ P# K, ?& M+ O life-expectancy
0 T" I& P+ V# Q$ x* Z/ y metabolism
$ q4 E" a$ |* _8 \: S0 L vision
" D& |* t5 l/ ^9 q+ G# B inherited 2 l5 a% ? z9 @# J9 c" S
]
1 P/ [$ c9 e0 u, T, o: _# P/ V
2 R: S8 M: M& h% P _$ i+ v; T
0 i5 s- V6 t) y9 A' xto setup
( i7 t$ Y/ {' \, n: ` ca
1 m1 a" l' G D0 S3 _3 ]( P set max-grain 50
3 L5 z$ L5 B; J8 n$ b2 e# ? setup-patches6 Y1 c. |7 S! y$ _9 M
setup-turtles
k: ^8 m+ S* A: \7 N setup-plots
: ^2 S+ b3 Y& T3 r update-plots. d7 ~5 b2 w1 d) N b' x
end
% o& W# V9 f: x. p) }, H$ E4 \& rto setup-patches
+ U: |$ P- x& H0 k& k% L: E ask patches
; R9 h. e1 q' p, A3 C8 _ [ set max-grain-here 0 ^4 |, Z4 c8 P0 \
if (random-float 100.0) <= percent-best-land- X7 |9 H! x' w6 l) Y
[ set max-grain-here max-grain
# b6 `! V# ?- U+ a" }7 Q! ~ set grain-here max-grain-here ] ]
2 M, {) C# s$ A) x4 @ repeat 59 J, l' _, f2 D5 P' L
[ ask patches with [max-grain-here != 0]
, y' C/ [( Q1 j! Z [ set grain-here max-grain-here ]
9 k W- A) X) t" b& @7 T diffuse grain-here 0.5 ]
# |& {6 U. o& @& k. l( @ repeat 10
2 X: L) [# X/ r- J% J) F [ diffuse grain-here 0.5]
' c ^! p8 y* c J; w ask patches
( w4 |, e3 W2 f1 I6 Y) H9 [; X [ set grain-here floor grain-here
, r5 [% ^. e" I/ q# Z) W! Q( B! d) l set max-grain-here grain-here
' P% j/ y" u( ]4 m8 V, K recolor-patch ]
5 Y- O2 I9 a1 h6 U3 yend# y2 U( f5 h0 Q/ q( t. ] J: D ?9 j
to recolor-patch
; c4 {1 f9 n- `3 z: W set pcolor scale-color sky grain-here 0 max-grain
" w% w& j* T) r1 _end
8 a) S6 n X, E7 r! nto setup-turtles
% l" F; q# W# z( f set-default-shape turtles "person"
; A+ j- x5 X0 ~' r& e* g4 O+ s6 H0 [9 q crt num-people9 @1 f+ M- L$ A" ]
[ move-to one-of patches
; p c! M: C! ^$ E set size 1.5 . `: Y3 W4 T8 j. Q7 G l5 ^
set-initial-turtle-vars-age
1 O/ ]1 c" [) i' @4 ?. X set-initial-turtle-vars-wealth
) D9 X- a/ G; A: b% ^9 Y( M* s set age random life-expectancy ]
4 H* r' Y2 f/ Z recolor-turtles
% `' ~4 i8 i5 x& xend) q; x5 T( b. d9 ^- X2 s' @$ r
: @! `1 B% e" K* f$ y+ E7 ]' f
to set-initial-turtle-vars-age
- v$ E1 j/ Y% T/ o6 _. b let max-wealth max [wealth] of turtles( N8 E M& F/ Z
3 d! I6 X; H. M ifelse (wealth <= max-wealth / 3)( o2 j$ e9 W* E2 M t& t$ W Q& g
[ set color red . \% [- D2 X( [: n0 W
set age 0; K+ m Q" i/ ^" q3 n, M: j
face one-of neighbors4 7 V, x" q. G2 Q1 q3 [+ E. N7 i
set life-expectancy life-expectancy-min +
- U! ^$ A, A n" s random life-expectancy-max
( t; s" g5 b v set metabolism random 1 + metabolism-low
7 ] f5 J/ d3 r5 `* Z3 v set wealth metabolism + random 30
( @# p% {; J! v; @+ R! I* b set vision 1 + random max-vision
9 \* P2 R8 X: x% i2 L set wealth wealth + Wealth-inherited-low ]
( i# X0 O4 c% i B0 j [ ifelse (wealth <= (max-wealth * 2 / 3))
: u: H0 ?$ J5 g5 H, m+ ] [ set color yellow % J' Z3 f& C" ]- m P9 `" E
set age 0
$ x! Q: K; [+ L8 l; v* p4 r2 Z face one-of neighbors4 * G- ]! Y* J0 G0 n. p) ?+ |7 |3 ^0 ?
set life-expectancy life-expectancy-min +
$ P) O2 A4 k5 N random life-expectancy-max + 1( A5 B1 H6 ]: \7 z; y+ E) R
set metabolism 1 + random metabolism-mid
& L* i6 m- F: x& P' H/ i set wealth metabolism + random 30) w/ T+ o: _) u J2 A8 d
set vision 3 + random max-vision% e" }) t3 N0 p) P" i, X& K7 |
set wealth wealth + Wealth-inherited-mid]" @ H6 v! r: q. S+ u% w" E
[ set color green
1 E9 e% O" h# |& x set age 0
7 f7 V& H( r4 T. a; {% l" O9 O face one-of neighbors4 1 j! Y1 [; V6 I' E
set life-expectancy life-expectancy-min +- B. K, L0 i! b
random life-expectancy-max + 2
' k% h) j5 o( \ set metabolism 2 + random metabolism-up
- @: w9 C- m( ^- W8 [+ H set wealth metabolism + random 30
l2 |7 e3 _$ f9 i! C set vision 3 + random max-vision' ?* O V" e& @
set wealth wealth + Wealth-inherited-up ] ]
! I; t7 _0 e( R% z1 ^ 8 {" Z' K3 {' A6 G+ P0 @" w5 \
end
- b' p6 X7 E5 [% lto set-initial-turtle-vars-wealth6 T& s! ` Z$ U5 ^5 }' w, m
let max-wealth max [wealth] of turtles
% F9 n) R4 h) r% d3 v5 W set age 0
6 Z/ X$ i. l3 ]4 |: s face one-of neighbors4
/ c2 l: O& J( w5 _ set life-expectancy life-expectancy-min + ^5 k) I" B W0 g3 F
random life-expectancy-max
# Q$ C/ P! u: f1 ~$ G3 U: a set metabolism 1 + random metabolism-up
' |+ h' ?0 o, z: O3 a& F; ? set wealth metabolism + random 30+ A& v- {8 B [ e- R9 y+ v4 n( c
set vision 1 + random max-vision ! n2 f. W% O8 s
end
0 a% s E2 t7 v0 C* o; J/ }8 ~7 @to redistribution5 s1 o0 t! J' r' ^& u
let max-wealth max [wealth] of turtles; k: Q1 {5 B% e" s
let min-wealth min [wealth] of turtles) \3 Q3 l7 B X6 S* n; ~' C& K
if (wealth <= max-wealth / 3)
( x2 s9 s, d9 s, g# V; _ [set wealth wealth + Low-income-protection ]6 G+ x/ l$ G7 }- o2 v n
end& k! x, J7 u! W- l4 e& ]3 T
& F( I- D d& I) y7 oto recolor-turtles: ~8 k4 v3 J2 p2 s
let max-wealth max [wealth] of turtles
/ U: Y! {+ y9 {6 ]" m0 j' A ask turtles2 }8 F; Z' t( }1 U% [
[ ifelse (wealth <= max-wealth / 3)* u( K1 M3 l& D9 k' s
[ set color red ]/ O" f0 p' i+ Z
[ ifelse (wealth <= (max-wealth * 2 / 3))
9 R9 k* ~8 c5 G r [ set color yellow ]) W0 U b! N5 Y3 v. N- }
[ set color green ] ] ]
" \2 `! B% q& l( n% B& c! B ask turtles [ifelse show-wealth?) f7 B& E0 p' k* k. R
[ set label wealth ]3 N: R% T U% q6 P% p: y; @
[ set label "" ]]- m- C9 H! Z8 y* i0 a) ?
end+ k5 ^! a* k: T ?' {# P( E
9 r6 E+ N. C, X) z1 A$ `# cto go
! L" A9 g1 _" V7 u- [6 l+ W4 k ask turtles
+ \0 r4 k3 u5 v+ t [ turn-towards-grain ]
. [0 l/ U; R. F6 m& G; p& e harvest
6 h) m' ]0 G& B6 Z- Y ask turtles# f0 K& b* S2 V
[ move-eat-age-die ]
. D$ P$ m/ M: f2 U8 L$ X recolor-turtles
' C2 ~4 `5 J: {" A if ticks mod grain-growth-interval = 0
, k' Y6 x' m7 L0 i [ ask patches [ grow-grain ] ]( v/ \0 c: s8 @9 q, c b
2 O4 v& H8 j, g if ticks mod 11 = 0- a4 i: j1 V4 _5 o! R! k
[ask turtles, Y0 v" E' x5 \ M2 g: x
[ redistribution ]]; Y% S: Z% ?* Z$ V3 y
if ticks mod 5 = 0
9 | q9 D- k9 W1 l3 @: L+ s5 O [ask turtles! j* O- y$ G; e" {( ~" a
[ visions ]], b$ F+ A. {" v
tick
! n1 `3 q' x" G7 A5 M) d update-plots
& O1 h& P$ I8 r& b+ eend& G1 C9 e+ j P, {( p
to visions% V9 t* L W; M& T8 l
set vision vision + 1 7 X! ]. q+ B! D- a% @
end3 i j( a7 ?+ ?$ z* ~. C0 |
- m4 Q. `0 k* U ?5 k# N
( d4 D) o& @! |; z' S$ l! M: ^( }2 t# u# u4 M# O- Q6 |
to turn-towards-grain
# W# \8 j8 ^& E5 S$ l set heading 0$ k R4 [6 ?; b7 |) r
let best-direction 04 h. S }# y/ r0 R
let best-amount grain-ahead
9 J5 o E C8 S$ j+ U) O set heading 90
& K y |3 s0 A0 \, F! h- D6 k. p if (grain-ahead > best-amount)
' ~) }! b/ l) U, Q [ set best-direction 90
* @/ h* ^( _/ |! W: L1 x w set best-amount grain-ahead ]
' t! q- j. h, B2 N: G" v set heading 180% ]; ~$ \0 F3 v3 f
if (grain-ahead > best-amount)' g1 U5 X* G9 x1 W8 S- |7 \+ g5 P/ q4 N! d! S
[ set best-direction 180/ \: c# B/ w4 F5 x& ^
set best-amount grain-ahead ]/ F0 ?0 [5 G: G! M
set heading 270
8 Z$ d: d$ t! t+ G" e4 R$ R if (grain-ahead > best-amount)7 _6 y3 m% `' J- t5 B' q
[ set best-direction 2706 B- A* n3 p; o1 c( {
set best-amount grain-ahead ]; q2 q+ d. a0 ^2 C- [% ]& S
set heading best-direction
6 h, n. d9 e% G! t+ G& |# A% Mend
: o0 d- L* c3 Q/ w5 v9 c3 g( n3 I3 W. T; w
( D! p7 s& N; w) i0 [3 C& Pto-report grain-ahead
9 P; I: `% w3 @5 p8 K0 S' S9 k let total 0
9 \2 c c: T x! i let how-far 1
) o- d; H3 n# v0 l R repeat vision7 R: K" L. Y5 h% D3 B
[ set total total + [grain-here] of patch-ahead how-far
; U. A' p( K( e+ d) Z# s" E set how-far how-far + 1 ]: Q+ L7 t) r Q+ C4 k s5 h! a
report total
: @' d/ L/ R% O2 fend
" D( r; \1 d$ A. o8 O6 R0 Y7 k& L- m/ y, `/ r5 _3 h
to grow-grain & u0 y$ U# Q A- s! M/ x. @
if (grain-here < max-grain-here)1 w" r( W; O1 H- }
[ set grain-here grain-here + num-grain-grown
( \( }, W: ~- e2 k if (grain-here > max-grain-here) , B& T) ^( [0 V8 h, R# R! x$ b
[ set grain-here max-grain-here ]' [0 V; t; ?3 c
recolor-patch ]
. u; b0 \3 ~' X/ B# S- fend5 W: S" f9 j! F7 K& `) F) b( ~
to harvest4 Z. J1 _' B7 `3 |" }# `- g
ask turtles9 i) A) u3 w: i8 A" H+ A4 z& T
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]7 h9 ?, n3 l: [+ O2 {0 P+ q/ W3 Q
ask turtles
X, S J5 L! } ^ [ set grain-here 0
4 ]6 S8 e$ }# X. [% W recolor-patch ]
* }& l; Y5 D: {3 F
: ^1 a5 E$ {8 I: b! Yend( B! s; z' [* t' `2 z8 E) [
0 y' G* k6 S1 L# z4 U- B. o$ j% @/ Q
to move-eat-age-die , }6 c8 ?8 X( ~8 }* ]/ H6 j
fd 18 h W8 b0 Q" j* H2 Q" W8 T
set wealth (wealth - metabolism)9 E0 }0 S k/ F% M5 V
set age (age + 1)# K! p9 f( M# H5 [, [; |2 V2 U
if (age >= life-expectancy)
1 B1 I) i* T. ~/ c' k- B [ set-initial-turtle-vars-age ]
# O* _- P t! v) w+ e4 {+ A% I7 P if (wealth < 0) B: H6 x9 U1 ?. \1 `
[ set-initial-turtle-vars-wealth ]) G& M" n* i& {: L; k" z
9 v7 x! F9 g' x
end' H; _; I1 ^* ?7 g& S* f v
8 z3 L9 [4 t$ J5 ]
6 C7 E- |3 b$ V q; Uto setup-plots
) t5 W g/ e. m6 M4 {, {, p set-current-plot "Class Plot"& Y3 K. ^* z) d7 x# s g' [
set-plot-y-range 0 num-people' Z- m: K7 M2 J& L: g$ J
set-current-plot "Class Histogram"& M7 t. x! |5 A- e! F, N! v, H' Y
set-plot-y-range 0 num-people. I5 R* h0 {) i+ [
end
8 ]' G, G; A0 r' G; E' r
' ^ e6 Y3 I9 o/ V. I" G, `3 E2 Cto update-plots
" @6 T: j! @+ T2 S* L Z7 [! o update-class-plot( |5 ?" b! W# k. g' M6 e7 c' w
update-class-histogram! e9 w" |0 v: U) ?0 c/ ?6 V1 P$ l& n
update-lorenz-and-gini-plots; d2 Y2 Z6 x- L" e3 V4 C
end
) J' N7 D* K+ b
* `9 x$ N% V, N* R5 Y. Eto update-class-plot
) o6 H- P( x# q' d m set-current-plot "Class Plot"
/ r7 `4 z$ t; ?6 C set-current-plot-pen "low", j; R* i3 Y. h' G" j( U* Y7 @
plot count turtles with [color = red]5 Y' z1 C6 ]! z2 u
set-current-plot-pen "mid"
& `; r. b; ?& P: k7 Y plot count turtles with [color = yellow]
! {9 ?8 e( H. a W( e+ `: ` set-current-plot-pen "up": N8 {, ^ H# p U6 X* `. y
plot count turtles with [color = green]
0 r" J8 ]" W! E9 a$ Wend
1 V3 w! N" G9 Q- r4 r1 z" R; \/ p$ [8 S! p: Z- R7 i: K1 t0 r. ? e( |
to update-class-histogram
4 E( B- r" W, V$ h set-current-plot "Class Histogram"8 j7 }2 H) O* R0 V( F+ C3 |, x
plot-pen-reset/ E+ A G- r5 \& {" h# Y! P- E6 x
set-plot-pen-color red
% U2 x7 o3 W% K3 d plot count turtles with [color = red]" D! W7 t( `; H% x5 L1 i
set-plot-pen-color yellow& K F9 x. w/ T |+ _7 B
plot count turtles with [color = yellow]
/ {# r9 @ d, T7 n4 j' x6 x7 e set-plot-pen-color green
3 @0 O6 M; K& ^3 k: I. Z plot count turtles with [color = green]
2 s$ p: x" w+ a+ I! p( [end0 l% o+ i8 G: z1 O C6 V) {! j
to update-lorenz-and-gini-plots# Z4 s5 S7 T. B* u: p) \: N
set-current-plot "Lorenz Curve"
( F* k3 w! r* Z$ J" x clear-plot& R# T, ?* a, y5 w% r, ^
! C7 f( v* ^- ~ set-current-plot-pen "equal"$ o1 e& X) R/ ^+ P# P! M2 k
plot 07 g7 a- ?. v# O7 ^0 ~8 @6 F
plot 100
+ }+ `& n7 d7 ?4 A$ J
' x( ^. [+ _8 C8 ~ set-current-plot-pen "lorenz"/ K: \ r/ s: K) K
set-plot-pen-interval 100 / num-people
& h6 J6 B7 `, k2 S* b: |7 r/ r plot 09 J" V. i9 y8 j
- r4 s8 u& [) F
let sorted-wealths sort [wealth] of turtles
. c9 U6 c' F. O- Y7 y1 y: r' B let total-wealth sum sorted-wealths
' j/ g, t5 z; q0 _2 j6 x3 h4 W let wealth-sum-so-far 0+ m$ p6 ?9 f3 R7 Z/ x+ ^# y. D
let index 02 k# N# W5 D/ M* U Y
let gini-index-reserve 0
+ q& \- b" O3 S. ~% d1 M3 _: z# E. @# x( o3 B4 {# t% F/ p
repeat num-people [$ a- n& P8 O) K& j# N6 G$ ]& H
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
9 |1 O" o7 y# E8 `$ [ plot (wealth-sum-so-far / total-wealth) * 100' e6 S8 a1 q# o. N7 V4 F: A
set index (index + 1)& _( G2 ^( F* i/ T) E0 S1 e
set gini-index-reserve
+ z6 x) G( r( a9 B0 R" p% e/ f gini-index-reserve +
1 P5 L, K6 y$ C' y0 q" ~5 x% H (index / num-people) -" j2 v! `; }! {: @% F
(wealth-sum-so-far / total-wealth)
& S7 w6 s5 ?2 v ]
5 o0 `. m" _1 S4 I% A
$ m1 W: M0 M) t4 R% I set-current-plot "Gini-Index v. Time"' g% W' E2 w7 O! N; ?" d1 i, O! q- J z3 n
plot (gini-index-reserve / num-people) / area-of-equality-triangle& d6 g' q( j, |, ]" B- M0 b) k
end; n/ ^+ {( p* d9 h( D( q
to-report area-of-equality-triangle
8 \" o3 L; F" `7 S' v/ n# D$ |7 S report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
& O& @' q n! Q2 H* K: ]0 V* yend |