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1 k* {' A% d6 I6 S2 h3 m" d
globals
$ R% t8 `1 n0 r2 i" w# t7 v[
/ H" c8 B; s/ _% C1 ]( J- k9 e2 _% e max-grain - p0 T* S$ I4 G2 E* C, \9 L
8 M4 U; ?4 X& n' P8 u+ X& s
]
2 C9 ~3 l( ?0 E: q) |4 X: r- k V) z! V' Q+ B
patches-own
* i" E& e- o7 l[+ B; C; P* h+ ]9 ~8 J
grain-here
+ ]3 ~% L. h/ W3 i+ D% o max-grain-here / c2 ?5 u* e8 }( \" l
]
) x2 }' E; e( k9 C3 q$ g& E- I1 z" _; R8 N: D/ l% s
turtles-own
, j; S5 X2 r7 d5 M0 ?/ j; g[ [9 z: B! L9 z5 }. O1 @' V
age
- s0 k5 r7 D! H: B, |3 N wealth
5 z, S h* b9 l' B6 n: d" U life-expectancy 0 b1 k) Y% V( g" j _/ x
metabolism
" m# N+ O+ a$ y7 H3 t: c vision: o$ [! K$ A# j4 m/ e$ h
inherited ; y! @& c2 L# L2 O8 w' h& c
]$ S6 [! p: l+ z9 ]8 o
t4 Y7 e+ e7 e3 P! p1 C7 R0 @: ?6 B' V6 F, c% G; R
to setup
}( w( L8 @/ p% E6 h# `6 S3 _ ca
+ h8 t$ Y$ u9 Y: T% y set max-grain 50
9 j+ C9 F1 ]0 j setup-patches
1 h/ {* S8 g6 h& b/ R setup-turtles# u: |* E! T0 g( h) R9 X) d
setup-plots( I; f6 u8 ^+ J, k
update-plots
" r$ d0 @* h, O! p0 W( Bend
5 t! S$ U8 G5 K& {+ G' xto setup-patches0 l/ `' m+ |+ _! i
ask patches
. S$ X# y5 w* i- b r8 G [ set max-grain-here 0
7 h7 q' |6 I% |- ^ if (random-float 100.0) <= percent-best-land
+ U: M6 a9 d. B' e# V9 U [ set max-grain-here max-grain
2 ?2 [/ E; Z$ d/ } set grain-here max-grain-here ] ]- p6 x; z( `% b& N
repeat 5' Y4 d' L4 z9 F
[ ask patches with [max-grain-here != 0]
% i6 d+ L' h$ z$ m5 x [ set grain-here max-grain-here ]0 B" W/ d8 J) }& |% ^) E1 J
diffuse grain-here 0.5 ]
6 W5 N- B) C3 m' {) ^, V repeat 10
/ b7 I J4 K/ [' I& M, {! ` [ diffuse grain-here 0.5] 5 y8 C( T( w% U7 f K
ask patches
* R/ F5 j. e* O9 a, p [ set grain-here floor grain-here ' P0 V8 g; U; r: u8 z$ Z
set max-grain-here grain-here 9 E- n% X' d3 R; o; ]5 B W
recolor-patch ]
5 k" G/ D I) L/ W: \, K; ]end
( q7 B; z- o' G* H% N) Nto recolor-patch 2 E+ _4 y& J2 P- a& K
set pcolor scale-color sky grain-here 0 max-grain6 y$ t0 |; H! K2 G
end
8 H5 O" w: ]1 W# X1 b) _: hto setup-turtles8 f# t9 b, n& A1 p# D
set-default-shape turtles "person"+ d8 t! x% E9 B$ `
crt num-people
$ ^% }$ D( }! T [ move-to one-of patches
" V. c7 t' p% C5 @% H& `) u set size 1.5
0 i% L$ r* B( U4 [4 f( I) c3 i set-initial-turtle-vars-age7 Q$ r }% j; }9 i
set-initial-turtle-vars-wealth+ ]7 |) D7 f3 @$ Q4 s
set age random life-expectancy ]
4 I7 ~% ]# }- i0 n7 K9 p- J recolor-turtles
7 ?" x! i* \7 I1 W6 Q% {end8 J7 J( h, l; N4 D1 G. s3 n
# P& R1 |, O5 z7 Z. e6 `+ Bto set-initial-turtle-vars-age
- v) g0 ~% ` K let max-wealth max [wealth] of turtles7 k; w; Y y7 p1 m
, o% A" M; y2 c4 P. t ifelse (wealth <= max-wealth / 3)
0 j7 F" K) `2 A% D+ _ [ set color red
( D& J# g9 P* a6 L; L set age 0
8 H1 L! e" ~/ h4 _. ~1 N9 ^ face one-of neighbors4
( i8 e- o U( {. I+ n set life-expectancy life-expectancy-min +; P0 F0 N; h( u7 I+ n- ^
random life-expectancy-max
6 d0 F. `4 W) V8 L0 m5 e4 w0 o set metabolism random 1 + metabolism-low
- [) i- s8 o* Z9 \3 M7 t/ N set wealth metabolism + random 30+ Q- i' E* W7 ^* g- b: G" D4 R, k; ^
set vision 1 + random max-vision
" ~ K1 F, U3 V4 o( j- d- n set wealth wealth + Wealth-inherited-low ]& Q" Y* @5 }' J* ]! Q
[ ifelse (wealth <= (max-wealth * 2 / 3))! o! [ }* ]+ c4 F
[ set color yellow
: O% x6 d7 q r5 M w5 C4 m [ set age 09 R/ L8 w& B+ \2 j& ~# {$ G
face one-of neighbors4
( `4 p# \+ S3 A- [ set life-expectancy life-expectancy-min +
3 g8 P; P2 Y6 V& e3 {- s. l random life-expectancy-max + 11 ~# [: K! s# q8 W1 l1 k, O! A
set metabolism 1 + random metabolism-mid, ~0 C1 ]* U1 Y7 k- s/ Y
set wealth metabolism + random 30
6 R5 r" F! Z6 b; ]7 X/ ?% @ set vision 3 + random max-vision' V- Q; E. X( v! V3 N( g
set wealth wealth + Wealth-inherited-mid]6 b( T; Q5 y/ n3 X
[ set color green
( b! [5 Q) N& B$ S9 [3 H a set age 0: o- f- W1 i0 u/ N
face one-of neighbors4
) A& \/ J: y) u9 r; v3 c set life-expectancy life-expectancy-min +
+ z3 ?8 u0 P1 E+ c+ g4 l! F" ? random life-expectancy-max + 2
( W: Y9 l4 z3 e3 }& V" w, C1 k set metabolism 2 + random metabolism-up/ C8 m0 Q9 Y) t" v! ?* d8 I8 R) Z- D
set wealth metabolism + random 30
! u* a( E' N+ R+ _ set vision 3 + random max-vision
/ p" O1 s, {' @+ X set wealth wealth + Wealth-inherited-up ] ]
* a' ]# j' o& s
4 V- t; e6 H9 O0 m7 P% Jend% ~- J: e) M8 z# m
to set-initial-turtle-vars-wealth
2 b% s( A; p' D9 L0 {, X' f7 C& i. o let max-wealth max [wealth] of turtles
& K# Y4 a8 M* x- k% S ^% t$ z/ c! c set age 0; t; C4 s3 h3 O, b' N1 [: X9 c- [6 ~
face one-of neighbors4 3 f, a% h) A& [( s4 k4 a# V
set life-expectancy life-expectancy-min +
1 L5 E8 x, Q) \ random life-expectancy-max ) @+ E9 i1 K$ L! ?
set metabolism 1 + random metabolism-up
. w: I# l* r" c9 O* N( E9 w set wealth metabolism + random 30
' P9 E/ B1 K* | set vision 1 + random max-vision
3 V6 Q7 s$ W$ T% `* c# }end
4 u- x- S% ]4 Z/ h8 i% u% h9 qto redistribution
4 F$ o( q" w, L7 _let max-wealth max [wealth] of turtles
2 y- ~0 V+ N" _+ Mlet min-wealth min [wealth] of turtles
* f' L4 L& S7 Q* D, i/ T$ Qif (wealth <= max-wealth / 3)
4 y( C1 {6 n" P, K B [set wealth wealth + Low-income-protection ]" z! n: n0 Z; I1 ?
end# B6 Q* ~' M7 V( w8 {3 j9 j
/ B1 A. B: X5 K: Y- M( A
to recolor-turtles
0 }+ J/ a( G# [& v. P3 ~1 t let max-wealth max [wealth] of turtles& _9 G7 M$ n3 j2 ]1 X6 V
ask turtles
7 j* n/ b# D2 X6 A* u' h% Y; K [ ifelse (wealth <= max-wealth / 3)
( K8 Y9 c: m c [ set color red ]
- Q# {8 v* P: V: L3 }' t [ ifelse (wealth <= (max-wealth * 2 / 3))1 H9 W/ q) ^7 e+ K0 T
[ set color yellow ]
7 h" w' W! V0 P, y8 e' U [ set color green ] ] ]6 A* e! h- a, M$ V- ~0 S( j' w# m; z
ask turtles [ifelse show-wealth?
+ J0 N9 [' c: e% F; E7 o [ set label wealth ]
7 x% g9 I3 _5 t, Q6 \6 R. R' u [ set label "" ]]) _, Q3 j- d7 ]- [, P
end6 ~5 z( }" d. |- q) A- s9 z) D' I
6 [ k2 ^* L- l/ a) B) | n
to go
4 O- E; r6 C( C$ ] ask turtles1 E; Y( `9 Y0 g1 R8 j/ Q% ^% U! j
[ turn-towards-grain ] ; \6 h `: w1 f; J/ {
harvest
0 R) @4 i' K: V ask turtles5 G, X8 T* ]* ~+ g1 v0 B
[ move-eat-age-die ]% P3 q. V* k9 z
recolor-turtles
/ [% `/ S1 j; f3 U: ~ if ticks mod grain-growth-interval = 0
W9 I7 _) j7 s5 x3 Y( J _ [ ask patches [ grow-grain ] ]5 ~& f4 t$ P C' _! o
4 ?) S0 c, f' d* w$ {$ [ if ticks mod 11 = 0
* s+ c1 v6 U" T$ E# F [ask turtles
/ W4 m$ @& f# S% s [ redistribution ]]0 U" h, X7 Z8 t6 B0 d$ \
if ticks mod 5 = 0( _) \5 Q' M2 J+ S- H0 _
[ask turtles' l" g+ B. S1 X' |! ^
[ visions ]]) O" p$ @: z9 o6 F$ B% H
tick Y) n1 u) L1 n; G' Y$ X x/ w
update-plots0 w& d( \- ?5 F8 \
end
& W) q0 c5 x! t" X+ L9 F, N5 {2 pto visions' @5 ]$ \" T: v* G# `
set vision vision + 1
0 l& N; I, H3 |- p* cend
# {" x7 R: k/ e
/ V# G$ E) G1 |" Y
" R7 P. z* u8 A: O/ }
^7 o+ ^" Q8 X% [, n, ^9 j1 Gto turn-towards-grain 6 C" l b6 b; i3 t) T
set heading 0
+ S( A# M. L7 Z( Z g( L7 G let best-direction 0
6 d- }& j, h7 f# v/ v) ^, | let best-amount grain-ahead
7 M5 Y2 Q) i' | M5 L8 H set heading 90
# r. s* w0 D( S, A5 t [, U- f3 V if (grain-ahead > best-amount); p) J/ y- I: [
[ set best-direction 90
7 _7 c9 g. h+ B set best-amount grain-ahead ]
2 Q4 ^% u% o3 N9 @" U6 c. y set heading 1807 J4 y! R$ r |/ }9 E
if (grain-ahead > best-amount)) c# T3 M$ x. C' p
[ set best-direction 180, q! r2 |) z$ g2 U1 K* r+ y
set best-amount grain-ahead ]
9 W8 A- `) y+ L8 J: Y# H6 o! G set heading 270
% G8 g, L6 k$ G/ ~) d4 x if (grain-ahead > best-amount)5 Q) C s: U4 v1 O9 ]2 X+ l
[ set best-direction 270
3 w. K/ ]( A5 K* d% D7 C1 Z set best-amount grain-ahead ]0 w5 `$ W% b8 \: S
set heading best-direction, i/ S# g" p5 G; R5 y" H- R
end2 w K, ^8 d7 u: K2 L+ E
: `9 L9 {0 I6 M$ G/ g& b- }
5 h, v: c x: A7 yto-report grain-ahead
3 R6 h9 [3 Z# q" k, t let total 0- T- X, v- I# b5 o5 I% d7 h+ P
let how-far 1% d3 m$ D$ h! Z6 ^- A) s4 l
repeat vision
+ h l4 ^4 O x: f [ set total total + [grain-here] of patch-ahead how-far
7 b2 B2 p Y! n set how-far how-far + 1 ]% s' n, p4 i2 ^5 \1 j
report total# G& F0 W) f; }- K4 A4 p
end
, _+ h' |) v, I) H K) P1 {- E& T
, }6 M& [8 |* V$ rto grow-grain
$ Z/ y" P/ |! P4 K2 x6 | if (grain-here < max-grain-here)
4 V" ^/ L* w% A% Z* z. I [ set grain-here grain-here + num-grain-grown
% C& ?" G- g( A9 s9 u if (grain-here > max-grain-here) 3 z, j$ f) }9 n, e
[ set grain-here max-grain-here ]/ n, w. }) n( O# r& H9 N& m
recolor-patch ]
, q! ~. @% ^7 V( _6 W* Gend; f; O, y* |5 R6 C3 a! x; l
to harvest0 `- E7 B+ o1 S/ E8 o
ask turtles
4 j p* _( Q2 `9 F, P/ O' k [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
2 M3 v) W2 S" \4 N! J7 z( Q1 z ask turtles
7 m# l7 v# h% N$ L. x [ set grain-here 0
+ w2 H( |) Z% F" C& C+ Y4 O' U" o recolor-patch ]# q& [( F9 |8 u. l
: g# O- I/ j1 o0 |% b+ P) q! \. mend2 E! p3 w7 Y. l* `5 j5 p4 H$ [
2 x( [8 m$ H7 k+ \5 I
to move-eat-age-die + N: m' M K7 ?5 d3 e r+ P
fd 17 `) ?0 \9 P0 q! B! d) K
set wealth (wealth - metabolism)
6 n1 a* v* T2 a2 }0 R" @ set age (age + 1)
" O8 f0 J6 N0 P# G5 r) R3 B if (age >= life-expectancy)
6 b' u3 n( `& ~" m9 E [ set-initial-turtle-vars-age ]
0 X' ?6 h3 y- e+ |, \! A7 W9 y+ A if (wealth < 0)7 }: @3 \4 }2 \5 \ W
[ set-initial-turtle-vars-wealth ]
; f& h u6 A* n2 u" P* H8 M 7 P" Y3 X+ ~0 {! Y& U
end
) U0 w% i! ~4 ^3 ~( x6 y3 \& Y W6 o: p$ \. ^8 L& l. n8 |7 S
. k: f& F# W+ Pto setup-plots9 T& b0 R- \0 A, [# t: n4 U k
set-current-plot "Class Plot"1 M( s! y9 N" s- w" |
set-plot-y-range 0 num-people
9 c; H8 S* e% d, { set-current-plot "Class Histogram"
; H7 z& M' T' q' g set-plot-y-range 0 num-people* [ b5 l: f/ A2 j8 d' l1 {
end& _% }& i( j6 V, N* }& G6 m9 _" `
( C5 ]9 J a6 H2 P4 nto update-plots
' x5 w+ W" I* I update-class-plot
$ T1 V" Y0 r6 }0 L& E update-class-histogram( n8 _+ P2 V- o- {* Z, g" b* Y. S
update-lorenz-and-gini-plots
( A* J1 c1 x) ~" a9 Lend
, b5 c q' u' ]. X" C, U8 }+ @7 Q3 Q
to update-class-plot
' B, w9 q% A+ N$ B# {# ?8 T4 [0 q set-current-plot "Class Plot"
$ W5 A8 G( c. `3 o. R& v9 I9 q, _ set-current-plot-pen "low"
5 \' v. @( L% i: q; L plot count turtles with [color = red]
9 L, V5 w$ T- d set-current-plot-pen "mid"- g' S2 s/ J t: W
plot count turtles with [color = yellow]; U |3 B9 Y; ?2 S x+ o
set-current-plot-pen "up"6 l: c; ~& x2 S; S
plot count turtles with [color = green]
8 M& P, Y1 s( ]: C) n9 eend) ^+ x" o5 {, e! q8 M5 k3 h
2 [( d$ D" V3 m, T) M2 F2 C& f) k* t" n
to update-class-histogram! u; `. }9 [+ y+ j, u
set-current-plot "Class Histogram") T d7 b- i ~4 n4 n% k$ k/ X
plot-pen-reset2 z" q$ t7 ~8 b) D7 A/ d. E6 w" N
set-plot-pen-color red
6 [4 W8 S* n* Z; K$ `& U plot count turtles with [color = red]
: U j* V" f4 q" R: b0 e set-plot-pen-color yellow/ w) }: r& |$ \: G0 J
plot count turtles with [color = yellow]" ?2 E2 |- M) n8 \- D5 V/ a
set-plot-pen-color green
G2 u9 r: X# t: D X B, o7 E plot count turtles with [color = green]
/ j2 K' `/ ~+ }6 O! U- ]end
% x; R, p. Y% T; s. E6 `1 V eto update-lorenz-and-gini-plots
6 \% t, d a' J( O, n0 }& c set-current-plot "Lorenz Curve"
' R3 K* z$ j1 g& e+ {6 x clear-plot, P+ }- e1 I2 y+ B5 U
5 }; [) Q# m1 L
set-current-plot-pen "equal"6 [( K" E$ k& V S
plot 0
/ D$ Q6 Y, r8 H7 y6 t plot 100& `6 X8 R( b+ y. {0 o) j
8 v2 {6 _3 [% m- d: D8 \* {
set-current-plot-pen "lorenz"
. J* q5 i7 p Y, L& Y: ]# K set-plot-pen-interval 100 / num-people' B( v8 s$ f+ [6 v# V- V
plot 0
# N, W: o( |. l3 \; d
0 X" W2 B! u g0 d. L! d let sorted-wealths sort [wealth] of turtles
9 }" r: t$ d+ C let total-wealth sum sorted-wealths" R% T9 [: x2 H+ b6 ~
let wealth-sum-so-far 0
/ F5 Z2 D" |; k8 S let index 0
8 q* @$ c: A( `3 {& Z- M, h* h let gini-index-reserve 09 l X5 @. U; u$ M7 N" I
7 D/ ]+ d) q4 w9 B repeat num-people [
, z7 C" A G" P" s/ B( C set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
& l2 X3 t3 h$ U9 v$ a: z( s plot (wealth-sum-so-far / total-wealth) * 1000 w0 N1 S" s0 r* z$ r
set index (index + 1)- r9 I* K# H9 b9 z, o7 j
set gini-index-reserve
5 Z, {3 J" `. S Q& v7 m gini-index-reserve +
1 e: O( B3 I+ e1 b (index / num-people) -
?0 l& {, q7 G" l; M (wealth-sum-so-far / total-wealth)
5 A" D5 z d l4 U ]
2 `4 `1 a6 T7 k, g7 u9 o( L
* X ~3 [- b* h6 c) O" @ |& d) C set-current-plot "Gini-Index v. Time"
( g/ F( b7 O( w0 w; C plot (gini-index-reserve / num-people) / area-of-equality-triangle
2 d: p7 t& |! \end- E& n3 U) p2 v# \2 l3 L9 f
to-report area-of-equality-triangle+ n, ~7 ?: o g0 h6 |5 @
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)# Y4 y' h* o7 r6 f( }
end |