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3 b8 V! f2 q8 F. m! r' U1 f: ~
globals
. O$ N" G j& ~% T, M[% w# l+ E. ?7 u' A1 W; R. v; n1 z2 ?
max-grain 6 t) r% A# B3 {1 F
% S5 s0 q; d/ e/ j' x]
1 o% T2 l9 D4 X6 w! |2 e* u
0 r$ b3 D4 x8 d# Y1 _% \patches-own7 j: ?' U. l5 \6 D
[
; C3 C: H% d% ?- q, P grain-here
9 s0 h4 \6 H& K/ w( {- Z max-grain-here : F( i9 r+ T8 V$ J8 t+ m- w. Z
]- Y5 F2 \: {* _
( ]4 V2 b+ j$ v b' {
turtles-own
" m! P2 r; H# @; \1 P8 n[
( U" b* j+ L3 T+ x* _2 ? age 4 p$ V% Y9 b2 b. A3 ^' ?) S
wealth , i& n1 v/ ^2 D& n
life-expectancy / x) o$ h! b/ M! v3 {
metabolism
- b+ c0 l6 G, ~" v# _0 r, v3 S vision, a6 R/ c# g5 D5 x! R+ ^
inherited
. x- C5 y$ Y/ s]
, \1 X6 E* z5 M2 I# ?) I u
1 s9 K. w/ D/ P0 f, I
9 k2 U& v- `, c: ato setup1 c' A/ o+ n3 H- `7 l
ca
' k9 x+ T! N4 Y S/ C' R, r8 ~" \ set max-grain 50
. ? e* b& k9 M7 C5 Z( v; F8 ] setup-patches. L: n7 K; ?4 P, d' |
setup-turtles
9 B& x2 {" S+ a" e! h4 g setup-plots+ c2 x; Q' \5 }" d7 A6 \: ?; N9 b
update-plots
6 ]+ g' D" z/ G1 _3 r4 ^1 T4 Iend
* S5 f9 D5 U2 Q4 _% G* Rto setup-patches
7 h/ D& y$ a2 E8 C% r+ A9 e$ a* f ask patches' H: P. i! ~9 u8 @+ V& }, ]% e
[ set max-grain-here 0: Y' G& F0 B* L" y0 r4 ]
if (random-float 100.0) <= percent-best-land
; }3 A3 |, l3 ?6 _- j1 p) U [ set max-grain-here max-grain. L2 E( s7 P" R* k V1 S; I
set grain-here max-grain-here ] ]/ V" G+ i5 D( k, l7 B
repeat 5
+ ?- _/ c2 q8 c: W [ ask patches with [max-grain-here != 0]
2 @# E: S" C G7 w [ set grain-here max-grain-here ]
: z4 s& J2 W9 c# M3 \ d& Y8 q7 G7 S diffuse grain-here 0.5 ]- X3 w( Z2 Y5 k1 h0 w. N
repeat 10( O$ V, Q: s7 e0 |9 H* F9 E$ W
[ diffuse grain-here 0.5] f6 A: Z% J& O
ask patches
, Y8 [5 ~- ^# l, S- F [ set grain-here floor grain-here
1 g, A6 A* W- e# ~: w set max-grain-here grain-here ( N' p& l, S8 V* ?* v6 L
recolor-patch ]
/ R9 j& m1 ~! F" b, send
, V0 J$ \$ s8 d6 p3 E% ~% {7 Cto recolor-patch
* m" l* B8 E1 l; j/ u9 n set pcolor scale-color sky grain-here 0 max-grain. A0 A+ p$ {& U1 W. e6 i
end2 X3 g! m% H0 C& |
to setup-turtles
, _$ s6 X0 p& f set-default-shape turtles "person"
4 q. `' |4 ^5 P5 E* @+ i6 q crt num-people
& \8 r! t e$ O9 r1 M [ move-to one-of patches # Q) K+ L, @/ W! e( v& C' x& n
set size 1.5
+ m7 `5 c. g: S6 {. K% h set-initial-turtle-vars-age
( y' h& |) W9 [. e set-initial-turtle-vars-wealth J! Y! B% o$ k4 K1 `: F1 Y
set age random life-expectancy ]
3 ~% ~+ t% L0 ^- l recolor-turtles! \1 P3 ]4 k5 t8 a0 B# K1 N
end0 P+ I5 Z: }2 T- C; k/ ^# h" {; r
# z" D% X, p' T, w3 ]/ m7 j
to set-initial-turtle-vars-age
% i9 n: _- B) g S* | M0 r( I7 f let max-wealth max [wealth] of turtles
0 a7 E7 ` S' k4 c O& I- { @ - g5 z! e5 _6 S7 Z
ifelse (wealth <= max-wealth / 3)" N9 n/ q( g+ v( t( j( ?! z" K
[ set color red / ~) ^8 s8 o* a( p1 Q* P J$ ~
set age 0
! _- b$ c. n* d7 R) p2 x; [ face one-of neighbors4 " [" x! x. q7 z3 N3 C8 v
set life-expectancy life-expectancy-min +1 q+ n3 `0 J; o; S$ j* L3 R$ K' }
random life-expectancy-max
: g; l% G/ C7 F/ o7 E set metabolism random 1 + metabolism-low
6 `* E" H6 t1 J7 o' Z, f* d set wealth metabolism + random 30
@2 b: h2 y7 I) T$ T( \* W ^ set vision 1 + random max-vision! q L- t5 H3 B+ E3 `9 O& w
set wealth wealth + Wealth-inherited-low ]
4 v* y! c P5 }' a1 K. k/ N [ ifelse (wealth <= (max-wealth * 2 / 3))! R* c% B. n( {% P0 u9 k5 M: D
[ set color yellow I" X7 Q* B7 z8 v8 K3 Z
set age 09 v4 \& Z0 r0 H3 i/ O: V! Z
face one-of neighbors4 6 s4 I) S& f' r4 g. q
set life-expectancy life-expectancy-min +
: q. r5 Q# I( D9 j$ I+ a: a8 J random life-expectancy-max + 1
7 G( ]1 ^. w1 z set metabolism 1 + random metabolism-mid
( n% _* X- ?& I set wealth metabolism + random 30
$ v7 J: I- R# |% C0 b+ ^ set vision 3 + random max-vision) S9 V9 H6 `9 \* r, r# M z! U
set wealth wealth + Wealth-inherited-mid]
; v3 O7 j. |" d( j: X' Y [ set color green
$ _& k W$ x3 X3 V3 R set age 0
- c# S w: `3 a/ V4 b face one-of neighbors4 5 x, b# z7 Y' P
set life-expectancy life-expectancy-min +
; T' p" T' o1 B, \9 p" T, e random life-expectancy-max + 2
2 m) J: \0 b1 C4 k set metabolism 2 + random metabolism-up
: P- P: _$ V& [% N: s set wealth metabolism + random 30' Z4 O- J' A0 e2 ]5 H. Y' n
set vision 3 + random max-vision
, e, X9 X! o, J& R8 U# |/ a6 k set wealth wealth + Wealth-inherited-up ] ] : i# k9 G& E, J: d3 J
# X: G" [9 ?' }, x
end
0 m/ Z. k# b2 p+ k2 xto set-initial-turtle-vars-wealth7 W1 u8 n# o: N1 S/ T$ p
let max-wealth max [wealth] of turtles! {+ R" V' {# |) ?& P6 P2 y
set age 0
0 Z. o. ]. d4 F! x2 A- x8 ` face one-of neighbors4 1 ^4 a4 P# V* ?& N$ j- ]' T4 c
set life-expectancy life-expectancy-min +) U# h3 I5 d9 z& d% G; J- {
random life-expectancy-max
! I+ K0 s# `, q3 w: i' X: ~ set metabolism 1 + random metabolism-up' g* n. f C5 Z2 f4 `
set wealth metabolism + random 30) {! u# X2 d, |( k% e, I
set vision 1 + random max-vision
3 w. b6 B- s3 {' e' D4 nend
* ^8 Q5 \' M8 o) f' p* nto redistribution
9 S6 Q: m! @! Y1 dlet max-wealth max [wealth] of turtles
# E' s+ N7 `5 jlet min-wealth min [wealth] of turtles6 l* n# V* q) e5 B
if (wealth <= max-wealth / 3)
' h" d. k8 p7 }, _6 @5 A [set wealth wealth + Low-income-protection ]' a( R( h! k% F9 |
end
1 S! N8 |5 _4 w, }1 |' z2 h `6 V# e
. T' @8 P, j% yto recolor-turtles
: L1 A* I' r5 ]) B let max-wealth max [wealth] of turtles
; C$ K) @ f2 ^" ~ ask turtles8 l, I' u8 R# J0 S, a
[ ifelse (wealth <= max-wealth / 3)# K. i3 i. j u- C. e
[ set color red ]
) {/ O. o9 h: h0 n0 `: ]5 Z( i [ ifelse (wealth <= (max-wealth * 2 / 3))( N8 [ ^' U+ e' V
[ set color yellow ]
4 l+ |) b6 L+ V8 W% o- l7 K [ set color green ] ] ]
% b: Z7 M9 j9 b% a ask turtles [ifelse show-wealth?7 I7 _; @; W. e; v& J
[ set label wealth ]1 m9 n2 H% L( {, R# C( M
[ set label "" ]]
2 o1 ]( H' X _" r8 y+ [/ mend
9 _1 t# {) l% s) K
! g) F- L! z) K' Y4 }; Gto go2 O- z! w9 o7 ] e" W. ?
ask turtles0 y+ w$ B& b0 u1 ^
[ turn-towards-grain ]
6 E, r, g, }3 G; \: H4 k7 V harvest
6 f- Y! {7 W8 Z ask turtles
; B0 r2 w7 Z: a% o [ move-eat-age-die ]
. o3 s$ J/ |; }+ a recolor-turtles: q3 B- r: O+ E% d* f
if ticks mod grain-growth-interval = 0( s$ X& G. {. V% X, t: `- s
[ ask patches [ grow-grain ] ]9 _, Z6 _# t; b8 t1 h
0 V5 d9 D+ j @- z; T if ticks mod 11 = 0
- P) ^ ]3 N6 [" F* f- h' h; y9 K [ask turtles/ l# T `3 |& w7 C3 M
[ redistribution ]]" c( D8 Z" I, j! p' I: {
if ticks mod 5 = 0
; v" h! @, p2 [) {* K+ g7 p [ask turtles
3 B O+ L) P4 r" ^* D6 ?) U [ visions ]]
( y# C7 g! X3 e" | s+ ^% X( @7 _ tick
% C M9 |- `) K5 t8 ^3 Z- M update-plots
0 J7 z7 |* g# oend! [" Q) C4 _. h- m# Q8 s F1 Y
to visions
2 O8 v7 s+ o8 i9 ]2 L- n set vision vision + 1 - p( Q% J) j5 R$ z. T
end6 d, i# \ z) K3 L: ?
0 p1 i/ h' o. g. d+ u$ N; Q0 E) e2 y
( X% w* W1 y' J" pto turn-towards-grain : F% f6 R, w( J# B
set heading 0
; A% B0 D5 o& {/ a let best-direction 0
0 U4 S( t2 f! T5 x# F- s) |3 N; h' m let best-amount grain-ahead
- t* V2 ^+ l( w- {3 i) l' j set heading 908 N# X5 A. G# R) F( C |7 ]
if (grain-ahead > best-amount)3 M# [2 u1 c- i1 p4 j
[ set best-direction 90& [% E" u* ]; {9 V- D
set best-amount grain-ahead ]
" S6 L% c* D% r2 B T# ] set heading 180
( E# L' T" [4 |9 B) O if (grain-ahead > best-amount)1 W6 v& X, G( B( ?3 p) r( a8 M
[ set best-direction 180/ @( C# B6 O4 k C) t! M( _
set best-amount grain-ahead ]
& ?0 H) F/ n4 i- ? \) p set heading 270% h1 \! G5 z4 E$ P7 B/ g3 r
if (grain-ahead > best-amount)7 n5 B2 d. Y! O% ` r! Z
[ set best-direction 270
: _( D# Y/ y. e' Q set best-amount grain-ahead ]/ H2 x9 {! V) W6 h& j' |% T( K) [
set heading best-direction
6 o, h8 o5 x/ c5 \# Oend& d- P9 P4 t0 X5 x
& O5 Q8 {* G' x* h
. a* u2 K4 Z! V" h
to-report grain-ahead
1 s9 i4 z) l8 Y: g# j let total 0
% M' u- t! I, s2 g: |2 e _ let how-far 1: c4 h- D+ U) K. c7 I; v% k7 k
repeat vision- L" |# f0 s0 m5 H$ c. d
[ set total total + [grain-here] of patch-ahead how-far
1 p. u2 [: o8 i0 \3 c5 h set how-far how-far + 1 ]% ~) ]' b! K R2 ~1 Q8 k0 t: O
report total9 b' F+ ?! L; G/ \ C" q+ F
end
- C2 z8 i2 ?1 q) W5 m: c
$ S! Q$ \ s8 g- M2 X/ [3 hto grow-grain
5 K. I# y) T% |) B4 [1 e if (grain-here < max-grain-here)& P+ k2 N V. m) r- d# J$ [
[ set grain-here grain-here + num-grain-grown
4 p7 [( Q- z1 O8 k if (grain-here > max-grain-here) % m" v; _1 d( d0 z
[ set grain-here max-grain-here ]3 y v1 l0 o7 r/ r1 ~
recolor-patch ]
8 v- [# _& k7 K5 L9 p% Yend3 x Y7 I5 L9 [/ m. p! Q. A7 Z
to harvest0 V) I, i9 R' u: P+ Q
ask turtles, l- D4 s, V( L6 u) G
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
, ^1 q/ `. k5 Q8 ^& L% s: Q5 L ask turtles
3 Y! N2 ]+ b9 T, I0 J6 T [ set grain-here 0
1 a) P- k# o$ r4 ` recolor-patch ]
. c0 N- @6 N, I0 o* B c
; j- D, K7 I0 t Y7 ^, R* ?end& ] u; T7 w) }+ B# a! C* u
) C! w$ U0 R& n7 eto move-eat-age-die 2 Q+ }- x( ^$ H$ s: `8 `( b
fd 10 ~) [0 M: T- r% A) B+ Y- v# R* Q; M
set wealth (wealth - metabolism)
" z1 v) o0 W7 Z4 J3 ]; M; T set age (age + 1)
' o/ E: ~* J2 m2 E! {, K if (age >= life-expectancy)
6 P8 R# D6 d8 c i; p) f) }. g [ set-initial-turtle-vars-age ]4 }4 b. Y" e8 z( }
if (wealth < 0)8 t$ d8 j v/ ]- G/ L1 {
[ set-initial-turtle-vars-wealth ]
8 W% D4 B: {$ V! G" X; @1 A
u7 {' d3 o5 P+ t* P0 jend
. y8 F, ^# d2 |2 {* a8 A
/ t" z1 k* [. j! P1 Z- u
* B0 W3 T4 ^2 E; s! O- x& K- _to setup-plots
# B; ~& |8 p6 w: P c set-current-plot "Class Plot"2 x& t* X9 N7 u' Z/ {1 B
set-plot-y-range 0 num-people4 o$ I! t% M% u% ?' }
set-current-plot "Class Histogram"( y7 c& t( k8 f
set-plot-y-range 0 num-people
! g* Q& q8 V9 q6 n) |8 rend$ |: K- I& m# v3 j
7 m' C, l1 e/ o( r& t% _to update-plots' t4 W0 U0 b& A) I" T
update-class-plot
$ x- U4 p T0 g* `# F& n! x update-class-histogram
$ z& |( K+ C2 r, I update-lorenz-and-gini-plots
# }1 D& T$ D9 i' G5 D2 s% e9 Qend6 ^% O/ Z5 [0 Q/ ?/ n# }( ~, p
$ W) c% O8 ~9 X( ]' H2 ^
to update-class-plot$ q" @6 t! k* h& r* s
set-current-plot "Class Plot"
( P) Z6 \1 [+ G+ e: W7 ^, i! K& t9 w set-current-plot-pen "low"
9 k) K5 Y# v/ \8 ]8 _* [ plot count turtles with [color = red]
2 d7 q: D9 Y3 r9 O( } X9 p7 O set-current-plot-pen "mid"1 Y" g9 h! l% Z `
plot count turtles with [color = yellow]7 M+ ?6 p0 w8 o7 T# z( `
set-current-plot-pen "up". i" a/ [) |( G: _% ?; e {7 `
plot count turtles with [color = green]
, O, ]2 d1 L4 G/ Hend5 ^6 L6 F2 C4 b5 y. E
. P4 ?. _+ f5 n- F w; H7 M
to update-class-histogram
' s! z% D, \3 }6 q( ~ set-current-plot "Class Histogram"$ m5 Y5 @6 M! f0 Z9 n6 Y
plot-pen-reset/ |! b) Y+ t$ w# T# g9 F
set-plot-pen-color red
; G5 v( P( d9 N9 w5 S plot count turtles with [color = red]
l( Q8 E" H, b6 ^2 s9 q7 @* D set-plot-pen-color yellow8 }$ H6 K! g" F6 I$ N
plot count turtles with [color = yellow] m" z: l" y; p2 z2 i0 m
set-plot-pen-color green4 y7 k: [- P/ m; z; W; x7 }- }" _7 |& r
plot count turtles with [color = green]% r# Y5 B% X* D2 I
end
/ Y3 D" {. K$ m1 z+ Pto update-lorenz-and-gini-plots4 C' I8 Z" D4 ~ u. U0 ^3 q
set-current-plot "Lorenz Curve"
) Y! J3 k) E1 e2 O" l clear-plot7 M, D# N" U8 d/ x' L$ W1 d
9 R- _( D" }1 i& q set-current-plot-pen "equal"
3 b. _; N: }; p3 e5 e$ T plot 0
9 T' u5 g& ]: x$ ]+ ~7 y plot 100( n9 S5 Y" \5 z/ m
6 t/ t& p9 @8 D$ J; Q set-current-plot-pen "lorenz", M) M9 t7 z! S r
set-plot-pen-interval 100 / num-people
$ H( t" A' @! `4 w g plot 0
- T/ U; l' G$ ~6 L- Z* n
7 p; \& t8 Q) R3 ~+ e2 n# y let sorted-wealths sort [wealth] of turtles6 H7 A" ]0 A G/ @4 @: ~) _
let total-wealth sum sorted-wealths
. |1 V4 N: u) M( n' n, }* c$ n let wealth-sum-so-far 0
" | a8 ], c2 a( S6 ~# G5 u let index 0
$ ^# f- E0 t; A- H let gini-index-reserve 0
2 v* {9 ^7 `$ K8 w; t* `7 R6 i* h1 {: L' S" e) M2 w% c- w
repeat num-people [! x4 J9 ?/ N- m" `# h$ W2 i* ~/ |
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)1 p2 }5 i. D/ Z) C8 G& z
plot (wealth-sum-so-far / total-wealth) * 1005 x$ N" N0 m6 E( g' s: H$ D
set index (index + 1)$ I9 z! e& w: i6 i( a8 _/ X9 l
set gini-index-reserve
! M* Q7 z: F5 Q3 o" G4 k gini-index-reserve +
, ?! f& ~ z; }; k `. n- e (index / num-people) -6 O6 U* @- K* C8 l
(wealth-sum-so-far / total-wealth)
4 f2 E/ j6 l1 ]; w9 C) q ]
, ^+ U+ V, j2 ^1 |0 C! k
# f' k' t; m8 ^- o, C set-current-plot "Gini-Index v. Time"
& Z- B9 a F& U3 K plot (gini-index-reserve / num-people) / area-of-equality-triangle
/ M: H# ^1 ?5 \/ T$ I" L% U* ~/ dend
! r: A# z1 H2 Y. I7 A% ?2 wto-report area-of-equality-triangle
- S6 M5 l, L& n: {8 B8 l) s8 x report (num-people * (num-people - 1) / 2) / (num-people ^ 2)" u* c' I3 W1 k! P6 _
end |