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
. G |! N0 e4 X1 L$ h4 |8 O# C# P Dglobals
% m; O! ], Y' Q[
3 Y! i1 P7 r+ [; z2 L0 U max-grain
0 |2 m) Y5 {+ P# y2 Y$ M# C2 a0 v3 v4 L
]# V( \( h, ]3 ~ y8 y( g& n
- N& e [. e# Jpatches-own& B, X/ W4 j2 t5 |+ E
[
- \! x; J+ n$ _! {1 \) p' Z grain-here
+ Q- i0 l- e3 C$ ]( J$ _4 i( p/ c; Z max-grain-here
! ^. t, T* K8 Q2 k" Y3 Q$ E% v]2 w3 m0 W, T" _$ c! M
, `+ {( ?" F* t
turtles-own+ i) k# h2 h* I5 \3 J
[# j) w W' J, O E( ^( B6 X
age 2 s5 u6 ^ A4 ~
wealth
4 N5 ^/ d% y- l: @5 N# } life-expectancy : `2 O4 B, {8 U/ z1 P
metabolism / o1 l/ V/ k8 _! F/ F
vision, D0 n' `, t6 R
inherited
4 f1 h5 ?# g( N) Q( D4 s+ a]
, @' Y" a: @8 J! |- P: C
' k$ u4 f* J. p3 d4 g5 l1 n
1 Y! Y3 `+ M- r8 Q8 Y( a) G; `to setup- \8 y. ?7 F5 V* p; h% \) X2 v, B! A! M
ca6 R- w4 N& c3 _0 G# q0 c. o0 [
set max-grain 50
& B7 T' i7 P z$ r# X9 \- b setup-patches
1 }9 o- A+ L& S: A/ D; { setup-turtles- P7 P/ c- I8 z* h
setup-plots
9 f2 Q, R! J2 l8 a update-plots
! J7 \+ q# d4 v0 ]9 v. \end- _0 h$ g& J6 d; q
to setup-patches
% R' _9 z$ ]* c/ W) ]! r. K( P ask patches* h$ B2 K8 c' w5 M( Q. d
[ set max-grain-here 0! {# e- S2 r2 o) Q7 I$ L$ |$ d3 X
if (random-float 100.0) <= percent-best-land
% u# D( y# l" w9 a [ set max-grain-here max-grain5 N/ b _% B7 U
set grain-here max-grain-here ] ]4 P. K. k! @6 t/ z8 \# y
repeat 5& t# Z, {2 ]7 z. x
[ ask patches with [max-grain-here != 0]
, e; @; ^" R" p* e0 ]3 B8 Z [ set grain-here max-grain-here ]' m/ Q6 q, V+ f
diffuse grain-here 0.5 ]
0 K/ a! U Y9 O8 _ repeat 10" U, {$ X) G, d1 ?
[ diffuse grain-here 0.5]
4 B8 f9 C! ~. I5 |& ]3 o ask patches4 s" a0 P/ _, A8 d
[ set grain-here floor grain-here # R2 |' M/ q2 |2 \# a
set max-grain-here grain-here - U/ f, E8 Z* i. N8 j
recolor-patch ]
. l, S9 e5 H1 R/ p7 `% @; ?end% y- J2 @( j7 q l R4 U
to recolor-patch
1 x* j7 ?+ r6 X2 b* {% b set pcolor scale-color sky grain-here 0 max-grain+ ?/ k5 `6 L0 A! O& n
end# q- c: H! _- V# I3 ?
to setup-turtles
& }8 b4 x7 r* q set-default-shape turtles "person"
6 v2 F* ]; R$ v- S W& p% f! g crt num-people1 h# x# _$ ?7 J. m; o( i* f
[ move-to one-of patches 9 _2 H l2 I+ a
set size 1.5
# P/ w4 V+ v G set-initial-turtle-vars-age
" { _1 y% Q" r/ l set-initial-turtle-vars-wealth
" t3 b' k- `. }4 | set age random life-expectancy ]
/ I* I6 k @& U7 O5 K& [" X recolor-turtles
9 x. n4 h- r- D! F4 iend, u4 h3 o3 M! K7 v. q0 k1 b8 U
, {$ i& g- ?, f% U- W
to set-initial-turtle-vars-age
5 A9 j1 b% b/ p" G: Y; M& p7 [; I let max-wealth max [wealth] of turtles
o! I/ G C: P7 x3 N0 G4 Q. \ 4 j' U+ N Q. t6 [8 F
ifelse (wealth <= max-wealth / 3)0 k2 l2 p9 }% S G0 w4 l; R
[ set color red
5 V% a( C( c7 I. d' w set age 0
- X2 R7 Y% ]# `2 @' \8 o face one-of neighbors4 * Q( f- C& B- p6 c7 B
set life-expectancy life-expectancy-min +
5 I8 p# S5 U$ v) Q: [3 C random life-expectancy-max ) E# E) x0 V; \ y" e
set metabolism random 1 + metabolism-low
4 |7 J- v8 z: n. s: a1 B set wealth metabolism + random 30
/ L b) z9 S- s- D5 o set vision 1 + random max-vision
/ v& G j1 K" t7 {$ j set wealth wealth + Wealth-inherited-low ]- @; ]5 {+ |7 c9 s( m
[ ifelse (wealth <= (max-wealth * 2 / 3))+ i* C4 t3 V; x1 j
[ set color yellow
( N( ~% y) I3 o/ r/ p set age 0
+ N$ s7 h; L# n9 z$ k6 } face one-of neighbors4 6 O* y9 o8 P1 ~0 j
set life-expectancy life-expectancy-min +
/ C5 X0 g) q R% v% I random life-expectancy-max + 1
5 a" D {; M& c! s set metabolism 1 + random metabolism-mid. }2 K3 C* ~9 D6 G0 ]8 S
set wealth metabolism + random 308 P" n' {2 g2 }# E
set vision 3 + random max-vision
1 I3 K h: k0 Z9 S- A set wealth wealth + Wealth-inherited-mid]/ K% x4 z. a# P
[ set color green
( _1 {; z: X+ N8 t$ a9 p3 S- t. M) I set age 0+ C! V5 r* F; L; \
face one-of neighbors4 . C; V( l. L$ s6 E% |- A' ?
set life-expectancy life-expectancy-min +: Y) Q m7 X! i$ E' l7 o
random life-expectancy-max + 2
% h% M1 h5 q, {/ z- Y: n4 P6 K set metabolism 2 + random metabolism-up
! J, K. L9 @$ d6 D" i" b' i; [( H* n/ f set wealth metabolism + random 30
0 ?* d. }1 W: \ set vision 3 + random max-vision" Q* c: w1 @- T! d
set wealth wealth + Wealth-inherited-up ] ]
+ W) z. e7 B8 d( m5 z8 r2 l ! h( L: w) h+ @6 A3 t. b
end7 x/ J; \! j! @9 F8 d
to set-initial-turtle-vars-wealth4 T7 J4 B8 i6 y. v. n Y0 L
let max-wealth max [wealth] of turtles
; ]$ e, E# `& | set age 07 ]' D4 S* ] D% S
face one-of neighbors4 2 H; p2 R* K- }; H. x: O
set life-expectancy life-expectancy-min +
8 _% @6 L/ N( X- P! w3 y random life-expectancy-max
0 k) ?% w2 |4 f5 ~ set metabolism 1 + random metabolism-up
/ D+ i# J, u4 W T; a# Z set wealth metabolism + random 30' I2 g: b) N2 N1 S5 [
set vision 1 + random max-vision , k" W' w3 `7 o" h: O* {+ w# s$ O
end% C; M' f* j' b1 ?3 L3 T/ y
to redistribution. g' D- T, e6 k- u0 T; O7 X3 w
let max-wealth max [wealth] of turtles
& p7 t( Q5 ~2 @- u$ @) olet min-wealth min [wealth] of turtles
: D, y* p: o" d# x/ B; Fif (wealth <= max-wealth / 3)
2 P8 K8 z @% c6 |, K [set wealth wealth + Low-income-protection ]
3 o/ \2 Q+ @* ]! {+ kend
1 r+ A; j. S% V% s/ w- p! z
; s4 @, r) n7 L2 fto recolor-turtles
, f# U7 G0 Q( [" o A1 s let max-wealth max [wealth] of turtles
, E9 p! h t9 C( k ask turtles% Y* O q: L# G8 [/ t. N) p
[ ifelse (wealth <= max-wealth / 3)
) w, M% B7 w& ] J' q$ K2 q7 e9 i [ set color red ]
9 ]' @/ ~% D/ a9 _. D [ ifelse (wealth <= (max-wealth * 2 / 3))
: H5 _) [/ b1 q# H [ set color yellow ]4 e" ^8 r* H" N4 F8 w
[ set color green ] ] ]/ N( l5 ]2 c# Y9 S2 e/ B$ l4 O
ask turtles [ifelse show-wealth?
, y1 p# ?5 }" n: x [ set label wealth ]" ]9 }! N% e* m$ n
[ set label "" ]]( G: l- U$ V. I8 d( g5 p* d- }
end
- n2 v! h' G' s0 l% \; d: O, K1 z/ J, w6 c( z
to go, L; Z& B" z. ^7 B" Z4 T" h
ask turtles
. G7 b V- q) U0 i1 ]1 d3 K' J [ turn-towards-grain ] * N, |) G( X, s( f; X8 @
harvest; c0 P2 ~+ Q9 w' p0 [5 D5 z) O
ask turtles1 b: y6 P, `( O* h2 o: f
[ move-eat-age-die ]
$ e) m& A. f; P; }2 H recolor-turtles
5 n) W. z) y; e7 t$ Q( [ if ticks mod grain-growth-interval = 0
" ?. Y, H) k5 W# h9 g7 n [ ask patches [ grow-grain ] ]" L3 F* q: O" F$ V. M' }8 d
; ^0 ?9 h3 t8 K/ D if ticks mod 11 = 03 y& j5 c. e3 s% h
[ask turtles0 R% w2 ] Q7 o/ d# e5 a
[ redistribution ]]
, Z) {+ J6 x0 c/ X2 J; H if ticks mod 5 = 0
* n: s) R/ p, m% d3 M [ask turtles3 ?, m% J2 ^5 {, n: W& z$ F/ E
[ visions ]]
6 m; n2 |5 E& s; m6 v4 U tick
. M; a/ R8 x- L8 e! n update-plots+ @/ \0 m$ `/ y* S& h- g7 N+ g; s9 v
end
8 U: m: B( I! @to visions
8 r3 q: n( p# [$ O) ^( O5 t, \ set vision vision + 1
0 ?6 o w" F+ L7 E2 ]end
+ ^/ m4 v' P: s# o# {6 r- e9 |5 [) F/ o2 E
$ Z3 d1 a4 L7 t6 u$ A- V" b# A+ H: G
! Q$ J# _, p7 b; ?+ @2 y" V/ p# tto turn-towards-grain
- ]9 I, w% k6 c3 Z" P+ O9 Z set heading 03 S. R. m. H4 e& H9 R
let best-direction 0
6 _8 C9 U b( F; P# Y let best-amount grain-ahead
8 w1 ?7 M) v: Z( L# K( ~ set heading 90
7 s/ R. }: f! }0 ?. p) t# D9 \ if (grain-ahead > best-amount)1 g+ h4 V- ^$ v% @6 ?
[ set best-direction 90$ s- V4 t c& R- ~( t
set best-amount grain-ahead ]$ A' H' K! L* y: ]. M6 S, o' J
set heading 180
4 {" D+ s1 N# B4 J: k if (grain-ahead > best-amount)! L( x0 m$ Z+ e# g
[ set best-direction 180
# _/ `5 w- ?" x8 n$ N( J2 E. x set best-amount grain-ahead ]9 a" Z! _* [; I) R
set heading 270
# `* t3 }9 Y9 m if (grain-ahead > best-amount)* B8 j! e8 C# @' h# I) c
[ set best-direction 270
' ~) r& C; [% U& V set best-amount grain-ahead ]0 H: @' K# G0 g
set heading best-direction
$ a) V7 N1 |1 |1 lend& a( Y- o; ~$ u5 }1 D4 Q' `
. ]( }+ `. }& S ?; x
" B' Q) \; u. qto-report grain-ahead
6 M2 R! \. A% B- q, n let total 0% T# L: J( O$ O" o
let how-far 1
5 C9 U! O) |* `" @8 h2 ^ repeat vision
1 F" t) n0 I4 I% n+ X6 Y [ set total total + [grain-here] of patch-ahead how-far5 T' ^6 M4 e0 [! b
set how-far how-far + 1 ]
" B1 n0 G9 Y6 C, ` report total
- P# B4 i1 h% w- M) c% jend
# ]7 l% M6 `+ B* K$ T
8 M9 e+ w" A0 l, K8 j7 O1 dto grow-grain 1 l+ J% ^$ X( Y- x* m( }2 v4 k7 b# }
if (grain-here < max-grain-here)
6 I" W0 F1 J. A. |6 R [ set grain-here grain-here + num-grain-grown
5 E4 q6 [" k* T; v6 D* ` if (grain-here > max-grain-here) 9 Z5 V1 _" I( |1 U6 ^3 l! M
[ set grain-here max-grain-here ]
$ T- i9 O. @9 c t0 R recolor-patch ]
9 F8 a$ c: s* o0 K2 o) z) Tend1 \8 K6 a+ J8 D5 g1 ^4 \
to harvest
8 n2 a n+ v g9 ^ i ask turtles
! T% ^# K3 v4 L8 ~! E8 N% }4 X: n [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
2 F3 j6 l) B/ C1 p5 n; X% K ask turtles7 |% s3 I& Z: K) J& j; L
[ set grain-here 0
. S$ }7 m# j6 q- }& e recolor-patch ]
3 ~8 T: P1 h6 R- C6 I7 L, Y
- t) D2 R! |) }! Xend8 G6 I9 L% O" U0 r
# M8 c" l( }8 \$ e
to move-eat-age-die 8 S9 {5 R0 r5 y. m9 G
fd 1
! }0 [% Q/ X T. P& @. x7 d set wealth (wealth - metabolism)/ o/ k- w/ X2 _& M* c/ _2 M
set age (age + 1)
& d0 g: k8 r$ w' C if (age >= life-expectancy)6 s' c6 q# x: q1 W' S; g8 }# A! g8 a
[ set-initial-turtle-vars-age ]' W7 R" N# H& P8 ?4 m3 a
if (wealth < 0). m- a2 A2 P0 z: _3 z
[ set-initial-turtle-vars-wealth ]
$ d( g# S% d9 L; E. B# b ) X) n# r J% V" j+ z4 t
end
1 O* f+ j5 V8 d7 |, O8 Z" e4 [( p$ c" @6 a! W
% }" w8 u: ?0 K3 s. M
to setup-plots" y4 l7 H3 Z& M1 \1 c
set-current-plot "Class Plot". j" {1 h0 h: W' B) U& L8 L' p" B
set-plot-y-range 0 num-people
: ?" y( u6 ^$ l8 P set-current-plot "Class Histogram"5 i! T$ b/ v& E% s
set-plot-y-range 0 num-people/ L' Q5 `0 M) v
end
0 E$ I2 D' ^8 s; S7 G+ P
" d) P1 Z- n; E2 g; Sto update-plots9 ~' g3 l a) J6 w% ^% g
update-class-plot, u% Y6 a0 B' U R: |, r
update-class-histogram% w$ w' N5 i" S+ Y k) Q# Q4 b
update-lorenz-and-gini-plots5 n3 S' i: g$ A9 A' @
end" }( A- K9 Z1 c2 `6 B! r. Z! j
( f/ Q2 M, _/ [, ], a7 Jto update-class-plot
% _4 L# B% s$ w/ \* ?$ c set-current-plot "Class Plot"+ Y( I; Y3 x- w! ~; t& Y
set-current-plot-pen "low"
% T* {4 }, i& V plot count turtles with [color = red]
6 y; P) _: q5 m6 L2 L& p set-current-plot-pen "mid"
3 Q5 K4 Q. a7 R- I; [1 x' t plot count turtles with [color = yellow]
4 [! y. _+ b6 q ]9 y set-current-plot-pen "up"
6 p& D. i6 L! l, z$ r# h plot count turtles with [color = green] Q1 O d- m+ {7 x6 f% }
end
7 c1 m+ c+ U$ g5 [
+ ? B# `# ]7 U/ Y# zto update-class-histogram
6 O& K$ W3 N3 l3 |; e8 r set-current-plot "Class Histogram"
; B- O5 ?9 Z2 x; U, _ plot-pen-reset
( k: T W6 H4 a" q2 D; ~ set-plot-pen-color red3 S6 E. l- M3 I0 T
plot count turtles with [color = red]; A) M! M2 V: Y g
set-plot-pen-color yellow/ Q+ j7 a7 b' U
plot count turtles with [color = yellow]- w6 R7 {, n" Q& x$ i7 W8 [6 w
set-plot-pen-color green
( U2 a j. E5 n, g7 x plot count turtles with [color = green]8 j! x6 _1 k. R* U3 f/ {
end
0 k' m0 \ U! yto update-lorenz-and-gini-plots9 U% d0 |8 J/ `7 \# z ^' I7 B
set-current-plot "Lorenz Curve": ?! m7 ?1 C% F; Z1 i; |& q& m( _) d
clear-plot7 f! m/ l& g9 p; g% y8 J+ }
$ G- n- T# \& p3 Z) W
set-current-plot-pen "equal"
$ G6 e" e4 \3 v. W P! T% z plot 03 v! [: |( N) `
plot 1006 O0 p- y1 M) h% }
8 \2 g5 }$ a- s6 }) j) q( ^ set-current-plot-pen "lorenz"
! |7 ^0 i, x( X7 e" M set-plot-pen-interval 100 / num-people
+ S5 {- p3 U2 E) ] plot 0
$ S; x) Z. G; W- ^2 E: h+ c3 r% Q ~/ P- n2 b6 E
let sorted-wealths sort [wealth] of turtles
6 u# w6 g) { q2 C$ H3 e3 n let total-wealth sum sorted-wealths
9 X* ]8 R3 ]0 ~4 X6 N let wealth-sum-so-far 0
) q" v7 G% O p1 A5 S0 y3 g let index 0' r9 g% N' P+ w D
let gini-index-reserve 0( A3 D) J5 @1 i( v( e& x _
3 [6 J( g4 j l% Y& f* J% p
repeat num-people [+ P/ y% ?' u b* ?' m) `
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
! X, ~1 Y5 a1 }- l- Z* J8 O9 q plot (wealth-sum-so-far / total-wealth) * 100% n& o0 |+ D$ t* D3 M! ~
set index (index + 1)0 q4 G- x* @3 H
set gini-index-reserve6 d8 j! d0 k% U; a
gini-index-reserve +! F$ w1 k* x: ]7 a! J5 G
(index / num-people) -
7 R/ t6 X8 ~0 y" H+ C (wealth-sum-so-far / total-wealth)
8 ]" e3 x0 R6 b+ | }* P) d. h ]
: B, v9 w( q2 J2 y( [7 T l
, L5 i; N" x, U. ^- H set-current-plot "Gini-Index v. Time"
3 X, ?- G0 t1 u, C" j+ C3 Y) v plot (gini-index-reserve / num-people) / area-of-equality-triangle8 B/ `& d6 h: p/ Q
end2 P! t K' u; W/ D' _4 @" k
to-report area-of-equality-triangle
& z2 ?" t- e6 Y. Q1 z( v report (num-people * (num-people - 1) / 2) / (num-people ^ 2)! ^. R0 U3 {# w* e2 Z
end |