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
) S0 l1 `6 ~ \! {. d' C' x1 Zglobals; `4 C% d$ v# w2 d6 l) \
[
3 e& D: ^4 J5 O( X! J/ M4 G: E max-grain ' a' d7 A/ f8 d' S' O
+ k- i5 l% T% f; {, m]. c, e/ ^ J Y
3 H' Q# U" }! ^9 y d, S Mpatches-own- P9 `! \5 `) d0 w1 M# _3 h7 }
[
9 x# b; J9 W1 s: B+ w2 I4 n2 r grain-here
/ ?: C4 E. P4 n2 ^ max-grain-here " x1 [. F4 y# X4 P- E2 p
]
& ?& n7 W8 F$ Y/ f" h' r
7 f8 w1 A% n/ g7 |4 e/ Yturtles-own
2 P' L/ K3 Y. \8 c' D2 K[5 b- \7 s) f1 |2 K8 K$ I3 T
age 4 L+ i4 \. A& s1 c5 K `0 _
wealth / [& z R) `( p2 h
life-expectancy : f+ H* B- V+ ]+ D. p: u
metabolism
, ~5 _5 Q# a! D1 \) j" m2 \6 d7 _ vision
0 w- \' {, H) k0 u2 m2 |- [) r inherited
: T+ V- v+ t' ~8 u. d- G]
: x1 p6 w. [6 `+ D& z: O: ], F& @ J) a4 y& o3 `3 v$ e# Z0 B& ~
$ y4 b3 s' V1 ]. \
to setup
3 Y) P6 D7 [8 N7 M/ s3 E+ n ca
! k) n |- M" f2 `- b8 c set max-grain 50
, y/ D K' a" y2 m9 E& {# Y setup-patches
+ Q; Y. o' U0 r) e9 f! W setup-turtles
: r: E. ^& D" W. ]( i1 m' y setup-plots
- y! p: P+ e$ e2 g/ k$ x- I update-plots$ ^, s: ]% B$ R
end
% t; ~/ ^7 G9 G! H/ W# }3 {/ uto setup-patches
) L) g+ v9 G5 o, L ask patches
! c( r3 S9 g. ~" J5 C0 | [ set max-grain-here 06 w: q: ? Y7 A0 j- n+ W
if (random-float 100.0) <= percent-best-land% i: H7 E/ z6 |2 X0 C/ p+ e
[ set max-grain-here max-grain
: i& a e0 ^1 w set grain-here max-grain-here ] ], K1 W& i' Q2 Q* K' I" F( L
repeat 5
3 }0 E2 j- I! m& ~- o [ ask patches with [max-grain-here != 0]8 M, w c! e, P& N x
[ set grain-here max-grain-here ]1 p8 a7 B. M5 n4 p: h/ n+ c
diffuse grain-here 0.5 ]* J9 a$ }; X( w. y: ^
repeat 10. D. g( u) b8 k9 X" e6 i' Y
[ diffuse grain-here 0.5] & Z* h2 J6 K/ ^8 F
ask patches
, ~# A( g% E' e5 `$ @ [ set grain-here floor grain-here 1 B0 a( D2 \+ F; M) |& i
set max-grain-here grain-here K2 ~2 A0 k: v; o
recolor-patch ]
; ~7 l! w2 u5 J3 j( send u$ T+ `) t( r, t" `: d8 g, [
to recolor-patch 7 v# v) q' C5 a7 S
set pcolor scale-color sky grain-here 0 max-grain
/ ~8 R8 W! u7 bend
0 r, Z: K5 W% s7 A/ E/ a0 y9 mto setup-turtles* g5 h: `" @* E/ k2 h1 b
set-default-shape turtles "person". r$ Q2 k. S3 |, R! r$ ~0 o
crt num-people% }% m N4 ?$ d; ?$ S, H
[ move-to one-of patches : \" n- g# \2 {( T- |3 ~9 i
set size 1.5 ; T! R0 H7 H) T; @# ~. J
set-initial-turtle-vars-age7 u! i" o& A3 F: `8 [1 a
set-initial-turtle-vars-wealth
- I1 h* Q. A9 A% y set age random life-expectancy ]2 s- e& z& Q, j6 h; j6 \
recolor-turtles
2 `5 V e- t$ t8 oend7 T$ C: M0 @$ O; W/ O
6 a1 c# d I+ j1 u$ Bto set-initial-turtle-vars-age2 T2 P! ~% T6 }' `7 t, b3 {" n8 ?
let max-wealth max [wealth] of turtles( f& G: p- |8 k8 V' ~8 f
8 M" L: C* D3 U1 k* I5 m; n& }
ifelse (wealth <= max-wealth / 3)
) X$ p: ?- w* o/ N# G: h. \( x& Y9 l [ set color red 4 u3 A2 [' _$ U: ~" v; Q/ G
set age 0
4 R5 N3 z2 E R, C9 g face one-of neighbors4 ( H7 X4 C! n1 S& f( o. P+ x7 j1 c
set life-expectancy life-expectancy-min +
! D4 b1 g$ ]: { random life-expectancy-max
. y9 l% N! [" F set metabolism random 1 + metabolism-low: W2 F. y) S# ~2 \ y$ Z/ Y
set wealth metabolism + random 30$ [# I9 a6 f8 c& X p# w
set vision 1 + random max-vision
m2 ? `! C, \: H k& M( L# L% k- F set wealth wealth + Wealth-inherited-low ]
2 \9 X3 o. n: |. ]& o. g: x7 } [ ifelse (wealth <= (max-wealth * 2 / 3))
7 v5 J' S" C0 _ u6 l: c2 c [ set color yellow
- t$ b7 r! W4 p3 Y set age 0
0 Z, a/ l& i @# G face one-of neighbors4 7 X! `$ X3 K: J5 s* A
set life-expectancy life-expectancy-min +
: j1 l% j/ d) J* G7 ~0 q random life-expectancy-max + 1
* D z% e5 O% m" @3 | set metabolism 1 + random metabolism-mid
* K: i5 a, `1 A3 e! s9 H& Y set wealth metabolism + random 30
$ I$ a4 d4 o' b8 w: c0 b7 { set vision 3 + random max-vision+ B, t% }# B' I$ f. Q: O
set wealth wealth + Wealth-inherited-mid]' S9 O- W: A- r
[ set color green 2 q9 C5 _5 H4 H6 J9 d
set age 0
- ?7 U- X- C- y2 l face one-of neighbors4 * q/ r; ]/ l( W w a1 c
set life-expectancy life-expectancy-min +
2 y3 X, L! t6 M6 u: I% S random life-expectancy-max + 2+ h5 O, }; b! {, N
set metabolism 2 + random metabolism-up; d1 l! J/ L; ^3 e. V& }
set wealth metabolism + random 30" N, ^( `% w; E3 ]1 Y1 n, M5 m" J8 ^
set vision 3 + random max-vision1 p( u( n S7 R
set wealth wealth + Wealth-inherited-up ] ] 0 h- n/ h3 |6 u4 B1 O
1 h( n5 h( r0 @( v/ Y& q- x3 H9 @end
3 j) q2 k( J0 U& E% G# S5 t( R2 Xto set-initial-turtle-vars-wealth
/ D5 s- \ _+ s a let max-wealth max [wealth] of turtles
; p! b9 |$ C, X+ G6 }9 r0 D/ O. u4 q set age 0
8 T( |: t% S6 P$ @/ h5 v face one-of neighbors4 8 A4 m# J4 |! `' v- p4 G& n# D
set life-expectancy life-expectancy-min +
3 y2 L2 f! m0 q/ Y7 g1 O) | random life-expectancy-max
7 j" ?# f6 m \$ ?/ q% M set metabolism 1 + random metabolism-up# F L$ M) J. e6 p* e/ B9 Z
set wealth metabolism + random 30
) W9 m4 E$ [; U' l set vision 1 + random max-vision $ R9 ^' t9 W/ x, a F% S& ~
end
$ C- P0 P. h9 L3 A+ E4 [5 yto redistribution7 t1 u, n& ]0 Q$ _
let max-wealth max [wealth] of turtles
8 |8 v- R$ z" [/ Y k) \let min-wealth min [wealth] of turtles! Q7 Z# T2 n9 [
if (wealth <= max-wealth / 3)
7 L" }9 t0 y3 ^# K) R; e5 C B [set wealth wealth + Low-income-protection ]$ @' T, P. t$ Z/ r! q, ?
end
" B [9 g r3 _$ v$ ?- {$ L6 w % d3 i# N; \4 `2 v& {7 m. y
to recolor-turtles; q$ x2 H/ s; _3 ], k& M( u
let max-wealth max [wealth] of turtles
& j+ z: _) |5 ?$ b* x3 D ask turtles% R8 x! @5 \/ L
[ ifelse (wealth <= max-wealth / 3)
+ M5 \: ?" m0 O1 X$ s; I8 y [ set color red ]
( H5 m j6 Y4 G$ K4 ^7 k [ ifelse (wealth <= (max-wealth * 2 / 3))
/ U1 O8 p' M6 }; G [ set color yellow ]/ F, U. l* y$ v; [% M; G& Z& _- h
[ set color green ] ] ]( r' H; E: G; S6 s& y
ask turtles [ifelse show-wealth?1 `! H2 n% y" Q7 _ Q
[ set label wealth ]
& l- j& c: ]. ^! x" R [ set label "" ]]
% v+ N9 O4 h* K* H+ q7 D" Nend q2 [$ y1 d. Z- e9 n4 F
; J( d1 r0 K! Mto go
. r5 I# _% _6 ~" r7 j ask turtles
3 o. B+ X" D8 q: @( `- G2 k [ turn-towards-grain ] * e" k- D( i! B9 c+ p
harvest( j n" Z' x1 K$ `# D
ask turtles$ q, W; Y- }' z* E
[ move-eat-age-die ]% a6 P) |. k4 Q
recolor-turtles
) A" [% ?! H3 N: n; v. M. N. K if ticks mod grain-growth-interval = 0
# ?" t3 A1 R+ E; @4 a [ ask patches [ grow-grain ] ]. l+ K( l) [+ Y
9 u2 ]( L; |5 q7 c if ticks mod 11 = 0
; i& s/ A% ^; w; X [ask turtles
+ {" |$ y; ]- O" E [ redistribution ]]- A, h8 K- s, O8 s7 ?5 r# Q
if ticks mod 5 = 0
3 b) o/ Y% V8 Q( d; } [ask turtles9 l$ V. q' x4 c- V5 w! v+ C/ z
[ visions ]]9 K! w6 r2 n6 c& s/ b
tick* X9 N% O9 A& w3 Y! Z" k4 n. n# p
update-plots
7 C" { }1 e& v3 q% h) Bend
7 f6 Q+ X" u7 j' b }/ _" sto visions l# G! z5 `" w4 C t* j7 C* }6 T
set vision vision + 1 0 f2 `6 R1 d$ o' V* j4 r
end
% Y; Z/ s& v( Q0 Z9 l9 s* @7 G& l
! a x t% H, G
' ]- ?! n; c! Fto turn-towards-grain : f- _3 k& l2 B/ d
set heading 0
5 V$ \ }! G) o2 c let best-direction 09 N& S0 i9 p0 c b4 w5 u9 o+ i, U
let best-amount grain-ahead8 r- {0 D9 n9 [! T3 E0 U, K, f
set heading 90; P% K( N3 q5 y, }# ^( A) {
if (grain-ahead > best-amount). v% ^8 w+ w8 J2 |0 E; w$ c
[ set best-direction 90$ q' u3 w4 i; S i
set best-amount grain-ahead ]( q: X! H/ ~/ | r5 g
set heading 180
. B6 d0 m5 |% l if (grain-ahead > best-amount)
+ K6 g' |# q; @ [ set best-direction 180
+ d8 b6 X5 U! R8 M7 d1 k4 n+ g' u set best-amount grain-ahead ]
" [3 E1 I+ }" L8 | set heading 2704 z4 c( Z2 y* Z! B! u; k7 b
if (grain-ahead > best-amount)8 h6 ^, [8 e8 Z
[ set best-direction 270
$ I' [- l6 N! O2 r, e+ M6 s set best-amount grain-ahead ]
4 i* l3 e! y* | set heading best-direction4 _" D# Q+ t# l4 X
end. |& x3 a! f: f
: @7 i9 u3 u0 Q% t$ d8 ?
O1 b* \" u4 C" R; h1 G' Zto-report grain-ahead
4 u+ Z3 `$ k$ c: t let total 02 i! T* y/ B$ `8 E
let how-far 1
9 [, ~2 G. O1 w2 Y3 x9 n% ] repeat vision* x S4 u _% U/ E$ X) ~3 k
[ set total total + [grain-here] of patch-ahead how-far$ O2 b' g' B' n8 Z+ j6 s! q
set how-far how-far + 1 ]
% \$ L* m% ^6 q$ p0 G, m! ~* L report total
8 z" k6 V/ a5 c1 B) d" {8 d4 [# cend" @2 f7 K9 ~& \
+ o: g) \; ^ S" A: s4 q2 Dto grow-grain
& |6 w: e/ ?! Y, X if (grain-here < max-grain-here)
" K0 \: V7 i) r. J( {0 q) E8 w [ set grain-here grain-here + num-grain-grown/ i! Y! O" `$ P* a8 r0 f6 W
if (grain-here > max-grain-here)
" J; p* w" ^- R; n+ U! A" T [ set grain-here max-grain-here ]4 O$ y+ L" Y( }* x6 I
recolor-patch ]
) k+ Y+ [/ D3 aend
P: q; _& x* C. Pto harvest
( C4 j" y% f) Q4 J! k% z% G9 X; X ask turtles
8 B- B, H8 v5 u- r [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
, k5 T; r, s% S0 g( d9 l7 e ask turtles
. A" c) Q7 W* H [ set grain-here 0: b; P) e; h/ n( ^+ A' Y5 b
recolor-patch ]
- F+ E K: d/ e3 S$ [' }7 }! P+ Y % B6 S0 _; j+ P7 K8 ~
end
+ a$ m, _# S9 n3 Q& H6 n/ z0 k$ W3 s$ ~* u; ^3 P
to move-eat-age-die * Z3 i- ~- k# k9 i3 s+ Q' _
fd 1
; B4 J- G5 l) Z* \5 f+ q# U set wealth (wealth - metabolism)
+ C) W# F9 u( d# s- z4 @$ r) ~ set age (age + 1)! w" ]9 E3 {+ ]2 V
if (age >= life-expectancy)
8 U% t! d) m& n3 }- q0 s! c. [4 Y [ set-initial-turtle-vars-age ]
2 Z* `& Z$ I7 ~, m if (wealth < 0)
: |* @0 j; f, f. F [ set-initial-turtle-vars-wealth ]
. M# ]3 R4 s: `4 @9 T' t
3 Z0 X* K$ P" [end
. Y/ ^2 N0 z2 y3 {$ D7 V$ H
, S! L+ _& y# a
. C3 y, C g2 G7 Q, C9 y. Ato setup-plots* M' N* E" j4 M* X! U
set-current-plot "Class Plot"
0 d. [7 B; k/ E9 A: U set-plot-y-range 0 num-people
1 c7 a, u2 @% T5 D5 V. S6 i set-current-plot "Class Histogram"
" ^- l: c7 g( E* A8 I9 e% \: ~% L* V& j set-plot-y-range 0 num-people) W; u' B. ?/ j
end3 x! ^0 q" [; F$ G6 C$ T+ I
! N L" [2 r* ]- r% {. |+ Y2 ]to update-plots/ G4 t4 F: p6 Y9 p) V* {- S' x
update-class-plot
! w/ m3 M: _; }" k: i update-class-histogram8 t' y" J. Q( u( [4 \; l; N8 I/ T
update-lorenz-and-gini-plots
( k, r9 l: N8 x1 \! n4 Y0 L$ |/ Xend
( `" J. w# d5 y' _9 b( L, D/ g% \+ m# O* J4 C+ c% P- b
to update-class-plot3 w5 l8 ^3 D% `. r2 `2 e: Y7 S: l
set-current-plot "Class Plot"
% l& p3 J, M5 \* A8 A set-current-plot-pen "low"
" c1 Y U# I" ~ plot count turtles with [color = red]2 }7 R! V/ ?+ Z8 h( h
set-current-plot-pen "mid" F+ g1 w: L& o+ B( N! D
plot count turtles with [color = yellow]
5 } n t# u& d+ ~7 V$ e2 v2 s4 l- } set-current-plot-pen "up"6 C/ Z' R9 [7 L7 L5 S
plot count turtles with [color = green]
0 Y& T8 z$ J+ s* c! X0 T1 K Q E2 s( bend- t( `3 M: _: i
- }0 M1 }7 ?: N+ |) k, n' N/ Qto update-class-histogram# O! x) w. D) T7 J4 O9 O
set-current-plot "Class Histogram"
% j" q5 M6 P. z* c9 D* J plot-pen-reset# `: E2 a2 p4 Z
set-plot-pen-color red/ i+ P* q8 e0 o6 y% O* _: b
plot count turtles with [color = red]1 R' y. d H* {
set-plot-pen-color yellow+ m7 h. p# H% |5 p9 w
plot count turtles with [color = yellow]
+ i% Z" ^8 E( o: n1 L) t+ G: M set-plot-pen-color green% l; R H5 ~, E4 O6 C- Y* V* I
plot count turtles with [color = green]
- f$ c* M5 w) \8 v# oend( p* J; b( s! _4 H7 U
to update-lorenz-and-gini-plots
2 }6 w D/ L$ x+ [ set-current-plot "Lorenz Curve"
$ F6 V. s( U0 c- Y/ Q& Q& v% X clear-plot
6 K1 G3 e9 Y' r3 y" T! G, m, ^' w: l* ~
set-current-plot-pen "equal"
$ ?+ P/ |, S& I* ?8 ~: p) i6 e& ] plot 01 b7 y) T0 `' h1 p7 _+ l0 @: U
plot 100
/ \! S% w& W' y |1 B% j
% e8 o& o$ z; X2 Q% W& r set-current-plot-pen "lorenz"2 _; P- I' R4 a) y. l
set-plot-pen-interval 100 / num-people# N* p- A U: t$ i: N* U
plot 08 e( }! G0 a d! Y9 {0 B
' E% G$ g6 x" W' k
let sorted-wealths sort [wealth] of turtles
& L% f# P1 [2 ]! R let total-wealth sum sorted-wealths
2 x. I" K S- h let wealth-sum-so-far 0% t, `2 G3 _$ p2 B& E
let index 0/ M" @! q! v2 a' T2 {
let gini-index-reserve 0
9 W, l$ j* Y( a: w* o/ P0 b5 |
# h% Y; Q, m$ K2 B- _5 G5 _ repeat num-people [7 k# y6 H% T( ?
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
8 `1 n q j. I5 E* L# t! \- } plot (wealth-sum-so-far / total-wealth) * 1001 u/ v6 r% a9 Z4 g2 O- Q
set index (index + 1)
% B7 K) l& x- ~8 X P set gini-index-reserve# V7 v/ t( c* I- ?! N$ C( q% ^
gini-index-reserve +
$ X& I' _( U) I+ [7 Z (index / num-people) -
8 w! c u& x6 f3 U (wealth-sum-so-far / total-wealth)
+ Z$ I0 O* H2 D. b ]2 i' u. Q( Z( p0 |9 _
% _( ]& Y$ t1 Q& n- i6 O
set-current-plot "Gini-Index v. Time"
~1 G3 ~4 Q+ M4 C4 ^2 a plot (gini-index-reserve / num-people) / area-of-equality-triangle/ ~* W" t# q1 M) M# F8 @
end
, C4 V+ |9 o0 I- w) Eto-report area-of-equality-triangle; S7 Z6 J8 E, K+ b8 i
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)4 n H4 V2 V0 i4 J" s( D8 W
end |