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; \) K2 T& D1 h/ E. R
globals6 F9 B/ ^* u9 P0 Z' u. E
[0 j% ~; ~5 |$ n# j
max-grain 6 l D% h4 G$ s( [6 t, ?
' c5 ?1 X! i K; o
]
) p9 G2 E5 a( a8 H! ~7 {/ I1 A( S/ a [; F
patches-own
8 K/ \- [# J, o- X" T[
8 r" f; [# V8 e2 G0 Z7 Q6 W grain-here
5 p- ^2 I7 j/ {; g8 G max-grain-here
3 u, ?7 s, v' A# Z q% t' o( F]
8 A) w/ y0 Y* P# ~6 R) n+ J( F9 k+ D. d7 J2 J1 v# }/ J
turtles-own
: d0 J( x+ B/ G! |/ Q[ S/ M2 |* E4 I: r, v' v T
age ; w+ D! \+ S8 x9 V8 k* k2 d
wealth ( j s `" M# k( b1 t
life-expectancy
: N3 c* ]0 a- b8 R% T' r8 G+ v" K metabolism 4 J3 g0 d& X1 m1 U
vision
: |8 i- v0 a4 n5 Z6 f3 L inherited 5 ]; v" {( k% z2 ]; F+ A
]) Z, A @) ~! g; z
' m6 M7 ^' T; |# F* Z4 z& h3 ?; C1 u1 v2 @6 u4 V U' D
to setup
: S; Z" L) j; b5 D" Q# L! y ca
, R9 R% O/ n8 y' j# d; H5 J& G set max-grain 50( T- V' b+ ]) @$ S# D# Z) Z
setup-patches
0 r+ ?" h: n0 U' a2 k8 H* k setup-turtles r0 U- A% C. A2 ]: B t
setup-plots
1 s2 H4 x+ O4 U4 f% m update-plots
6 i* j W0 {& F2 M: g& `end! K/ ^- [ b2 u; y& {
to setup-patches( n+ `* F: n5 l$ E
ask patches
9 \2 s/ Q4 o2 j( O [ set max-grain-here 0
" S9 f. @# d% D' X6 O5 ], ~7 S if (random-float 100.0) <= percent-best-land
" s6 u5 t- w' s" V/ S- | [ set max-grain-here max-grain# n& R' p; a" J( |, _
set grain-here max-grain-here ] ]
" D# n8 _6 }. ~ H7 k# f. j) ^- K: \ repeat 5& c6 l. [9 V X# m
[ ask patches with [max-grain-here != 0]
6 Q H# O/ [$ d. s- W [ set grain-here max-grain-here ], H; x! [! V- B) }
diffuse grain-here 0.5 ]" D( W( C0 ]" B
repeat 10
$ Y3 Z7 V) t3 J. x) O/ p [ diffuse grain-here 0.5]
' O) E" l- D0 \3 B6 `6 c7 L ask patches
) p( k1 F( t: `) s [ set grain-here floor grain-here 7 h7 D6 ]; q1 p1 R$ j; R
set max-grain-here grain-here / \. D* @7 R; G3 R3 {
recolor-patch ]7 r0 j0 `4 P) x
end
" W, r# M" ]5 ?- T$ Kto recolor-patch
7 U' t* c$ f3 P: r3 ^ set pcolor scale-color sky grain-here 0 max-grain
4 a3 d5 {. \3 aend
0 C* P. ]/ M/ u5 |; [2 sto setup-turtles: M1 O/ x' T0 X+ t1 K- P) y; s. k2 Y6 o
set-default-shape turtles "person"
5 Y/ X l( y. ]; U crt num-people6 k! V* s, d) I/ j/ s4 z
[ move-to one-of patches
/ z# R% E2 F+ f0 i, T; Y set size 1.5
2 h$ @) `1 y, ` set-initial-turtle-vars-age# n) T2 W) Q$ ]5 l A) x
set-initial-turtle-vars-wealth
7 T8 B' l# O! W! t5 @6 s; n7 g set age random life-expectancy ]
2 L4 E0 L; J" `* K. j recolor-turtles
) s8 _6 ~* `7 ?5 [/ x9 k1 g; Cend
, w- R/ Y! q: d" ~7 Z+ P- g V
* m0 Y. K9 Z& e# k0 S! @" nto set-initial-turtle-vars-age1 Q5 G% Z/ A8 ?2 G- E( ]! o
let max-wealth max [wealth] of turtles \* E0 N5 M2 q
9 r( W3 j/ ~4 t2 }5 s ifelse (wealth <= max-wealth / 3): L) X, n* z& I# K
[ set color red
& Y; K) q- J- ~4 | set age 0: q8 {: l# p" k# H7 S. f/ Z6 N
face one-of neighbors4 4 a/ }- O. m) c& V& H4 y8 z- N
set life-expectancy life-expectancy-min +
" w+ d) B$ ?9 ?0 J3 V' ?1 p. \ random life-expectancy-max + P; k/ V/ P- m
set metabolism random 1 + metabolism-low3 l. }/ z, d B: O3 ?, D2 b$ Z
set wealth metabolism + random 30. g& R( \1 p% K e; o: [! ~, a7 p
set vision 1 + random max-vision E) F3 L( {( w: c* X
set wealth wealth + Wealth-inherited-low ]. z: v- w! Y" r7 G7 o, M
[ ifelse (wealth <= (max-wealth * 2 / 3))5 D& q* i0 A4 p) ?
[ set color yellow 2 x* H9 ^' H& C( i
set age 08 t% U7 ]/ X$ N* {) H0 I
face one-of neighbors4 8 v/ Y, H& ] e5 R4 G
set life-expectancy life-expectancy-min ++ C; e' }5 n3 ^
random life-expectancy-max + 1$ S8 `5 w) U% C; w0 u5 M
set metabolism 1 + random metabolism-mid
1 C, m0 _) d6 {0 ?; j. X( S3 o# O set wealth metabolism + random 30* x2 R, N- j+ R; P! p/ f$ @( c
set vision 3 + random max-vision
2 c1 L3 x2 S+ i set wealth wealth + Wealth-inherited-mid]4 i8 U7 ?( Z* C7 u: x: X
[ set color green 0 c8 ]9 U: v# \7 Y2 v
set age 07 b$ Y9 W; ` |, ?6 {* W% k! C
face one-of neighbors4 S) y+ [* q$ h+ ]# p
set life-expectancy life-expectancy-min +
3 t. c4 |9 f1 E, C0 m random life-expectancy-max + 21 H- }' X% K6 i/ t: s4 z. `
set metabolism 2 + random metabolism-up
; f7 M! S1 B( X3 O9 T/ P set wealth metabolism + random 30& \: M2 P) b: L! Q) u, J6 H1 y
set vision 3 + random max-vision
, N: r8 ]8 z+ K/ N% n set wealth wealth + Wealth-inherited-up ] ] , M7 ?) ]( F4 r1 i1 p, K
! L( V+ p M) g! m5 z$ p9 t- e2 K' B
end
$ Z# ]6 _. ]7 @ I) Lto set-initial-turtle-vars-wealth
( H: X5 V% d; @5 t let max-wealth max [wealth] of turtles
0 Z! ^% d; L1 \* x. L set age 0
* V) j1 o+ v7 s0 Q$ {, a/ J face one-of neighbors4
6 n8 O# O8 H" g$ r set life-expectancy life-expectancy-min +! {9 d9 ?* z. e/ Q; v
random life-expectancy-max - z# f2 a' H/ t6 y' T9 {3 |
set metabolism 1 + random metabolism-up2 V/ e6 ]& M4 q% G" d7 e$ V2 O- i
set wealth metabolism + random 30
/ P" _* l9 ]+ f set vision 1 + random max-vision - l* L. i! M0 j
end
# D' ]) P7 A6 |" j4 nto redistribution, b9 N" E8 d9 {1 B
let max-wealth max [wealth] of turtles
J' {& e+ J1 s' y8 Glet min-wealth min [wealth] of turtles- Y4 y4 g8 i; `, ]
if (wealth <= max-wealth / 3)& u3 l% ~- ]7 R4 E1 s" S
[set wealth wealth + Low-income-protection ]
( k! e5 N( @& o3 Yend
. C; |4 B% O3 d, \ " `6 y& r! ?3 y Q# a
to recolor-turtles
7 @2 f7 e0 `+ ?7 A) Z K let max-wealth max [wealth] of turtles
9 p3 T- F) _( y3 {5 `) n9 D ask turtles
6 W3 P- U+ v+ n; O4 s' G" | [ ifelse (wealth <= max-wealth / 3)0 K2 L& c& q* f9 m
[ set color red ]
( [5 J. x. d0 L6 t7 L3 v [ ifelse (wealth <= (max-wealth * 2 / 3))! x+ E- Z) f% P) S- l9 X/ c
[ set color yellow ] x/ X9 c2 I& O' F5 @/ {0 ?
[ set color green ] ] ]5 ~7 `: S% n Q9 Q! R3 S8 W
ask turtles [ifelse show-wealth?5 u) d, H5 s& \
[ set label wealth ]
6 n+ U2 ~2 o6 Y% Y. f; } [ set label "" ]]
( D8 L; \# ^9 S8 |end: S( R/ Y0 o$ [2 v. ?: o4 f
4 V0 v# `' g2 u$ L4 X
to go6 s; M5 H; N: }6 q$ ^( h" M
ask turtles
0 B: i! t x1 S, l3 a& s [ turn-towards-grain ]
& ^1 b) A5 R6 Y( Y6 [& _; O harvest0 ?6 J6 S# p! {) [- {
ask turtles1 A d' g+ w! Z% h
[ move-eat-age-die ]6 e! B+ H+ J. h. v/ q C) z
recolor-turtles+ M) ]6 F$ P+ d$ j. u! f9 J! @
if ticks mod grain-growth-interval = 0
2 g2 n9 h" v. R5 \! E9 j! k. M [ ask patches [ grow-grain ] ]) M" H2 w" }1 Z: S
0 y0 @. V, n; |) @3 A if ticks mod 11 = 09 ? U' p5 X" G: g* ^
[ask turtles
5 B' Z: `/ p) M, f8 L [ redistribution ]]
g$ Z; K8 E5 |% I* m8 _: u if ticks mod 5 = 05 \% g" b, i/ P" _7 e& v$ ]. k: v
[ask turtles
$ y1 i- Y. p- K4 k- [! D [ visions ]]) z! {9 P+ A) M6 Q
tick; Q1 Z" K1 s9 n: U6 Z
update-plots
; e& l% e5 f/ b$ O: ^end" ]3 I7 X$ l" {9 W f- e ?
to visions5 M5 Y2 _. M8 t& P
set vision vision + 1
% ]$ i" _2 {0 C2 l- D }end3 t' w" [/ Y& C; I) D
$ V$ B5 {7 ~( O
% z: |- i7 P% ?! _
# a# w) v4 `+ H+ _2 M( pto turn-towards-grain z& H0 R S& s
set heading 0
% w3 S! a* W3 {' K7 B s" I let best-direction 0
* b. L, c& u3 a/ d let best-amount grain-ahead" z1 Q# k5 f" B4 [
set heading 90
; ]; W: g, v! u q7 O/ V/ ?) _ if (grain-ahead > best-amount)
+ u. A( q! [8 f, \% `* `, n [ set best-direction 90
# m) t* m$ T: a set best-amount grain-ahead ]
8 Z" C0 k$ }, o# J# H2 {5 _/ H4 C; N set heading 180
% N3 v( y, L9 U. | if (grain-ahead > best-amount)
, Y+ ?5 x* W" @9 Q4 l- j) v [ set best-direction 180) G7 j- ]; f% r; { n4 \
set best-amount grain-ahead ]. Q5 X! b3 Q# E' C
set heading 270' G/ m, F" r- ~" k
if (grain-ahead > best-amount)
) r: e' o8 f( ~9 H) r [ set best-direction 270
( Q _/ U0 h H3 j4 f! C3 D. ?8 W# r set best-amount grain-ahead ]
0 M6 L6 q: O$ @ set heading best-direction
: [' P* `" P- k% Vend
1 O8 g- B) G& ]! f& _ \0 Q% i% @' z1 C, ~9 T) o* Q8 M( M- U- M4 S
+ b6 V: o3 r- P0 D. J" ~3 t4 zto-report grain-ahead + X9 M1 W: d) x+ e% ]: c
let total 0" T& u7 o& l# o5 K6 ~2 Z
let how-far 1& f0 l( j! f! v/ r" ] S- {
repeat vision# f& `' Y+ ] T7 n# @7 l$ V) b$ E
[ set total total + [grain-here] of patch-ahead how-far
' j; G5 N2 k* l/ {. w5 n set how-far how-far + 1 ]0 x& u- Y2 C! Y6 R7 V: i
report total
, L9 {: n6 S/ Z/ L9 N# uend
( ~; I6 {( E3 K
8 P g4 D- K0 q# S# O$ gto grow-grain ' k( ?; L% T4 n+ Z* b8 x
if (grain-here < max-grain-here)
$ H6 g9 J0 H) ~ X5 R- J [ set grain-here grain-here + num-grain-grown" r' |1 n; b! C, `6 V
if (grain-here > max-grain-here) + Q! Y* r$ Z) l, c- z- Q' I8 g) d( U! R
[ set grain-here max-grain-here ] F5 } A8 u6 \2 H( n s: \
recolor-patch ]
- T; I9 d! I- K5 i; b$ J2 H2 pend
. w7 J" C+ e) `. Z3 m1 S+ \to harvest7 Z0 i$ \2 B+ A/ g$ @ T! H5 z& n
ask turtles ^- ?3 T8 d' j
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
( [9 f7 X8 U6 a8 i ask turtles
( N9 s. X T3 j, L [ set grain-here 0( r# `! O5 j' F9 w# w X
recolor-patch ]; `& G" a- s7 }- o9 l o; }
' d) @" l+ G4 C: o
end
# x, ? r7 X* ], M+ t& v3 k
+ ?3 X$ Q/ i( n# G7 mto move-eat-age-die : J' c! s( \% R# w9 c$ q0 I: `
fd 1
+ m; D* B; k$ f* _0 y- p set wealth (wealth - metabolism)/ C+ C5 M4 @- ]) `. z8 L
set age (age + 1)
: ?1 Z* S+ G& r% n& B- h if (age >= life-expectancy)6 a3 y. f3 h4 ?* L7 x% o
[ set-initial-turtle-vars-age ]9 o' a& }6 l" ?/ g8 v# G
if (wealth < 0) i% `/ y, y/ x! E6 G a( s. G
[ set-initial-turtle-vars-wealth ]* K% I) R" y0 V
5 W# @, J# J+ r2 b3 A" m, T1 y- O! Oend
1 F6 a# V" J# W; b0 g" v7 I" G9 j c( p. O+ O/ h! V* X; z3 Q
( U( E) S$ t( @; }* z
to setup-plots
2 v5 M( o; @- b9 Y) e* U0 f& j set-current-plot "Class Plot"
5 k E, h: e: g F B set-plot-y-range 0 num-people7 ^ H3 g l2 O' O9 S$ M$ Q7 j, c
set-current-plot "Class Histogram"
; i0 n! X t: s6 T0 p) b% @ set-plot-y-range 0 num-people6 g7 [, N. s! H* S7 X
end4 h7 ?8 z/ M1 Y' Z
3 P3 ?# Q* G. B- N3 t+ N
to update-plots
$ X5 R+ H6 Z8 U3 E" O& W* R update-class-plot2 `8 k: Y+ C: c7 ~! _
update-class-histogram& \; f7 N# {5 _9 j
update-lorenz-and-gini-plots7 d' N' A& M; J6 m) H5 n5 o
end
7 C- j' n4 f5 C# w
) p4 A& {; \5 L2 U# p! C6 bto update-class-plot
) o4 X1 O8 ]9 L, n; M- w set-current-plot "Class Plot"
) [* Z; H8 k( F/ t set-current-plot-pen "low"0 u! A8 I! O$ r" |( D) j w/ ~
plot count turtles with [color = red]
% m6 |* A( N. D) b5 O B set-current-plot-pen "mid"
$ u/ D5 }" E% V& d plot count turtles with [color = yellow]2 R4 `2 p$ h' ?
set-current-plot-pen "up"8 E( E6 p5 @! J7 r: b3 H
plot count turtles with [color = green]
; \2 ]9 P4 d* }' Lend
& r) U: P4 ]* R" `
3 q9 E# m- O p( o; t) Xto update-class-histogram- |& |$ I. F# q9 c! K* n
set-current-plot "Class Histogram"( w, U% s4 F) d J. x% L0 W
plot-pen-reset
+ w ^( }2 [) u/ s9 D set-plot-pen-color red
+ i$ w* L' G1 [) K+ w# g- }/ Y9 Q plot count turtles with [color = red]
- l2 j/ w! c( u3 i set-plot-pen-color yellow' F% @: P7 ]8 Q+ P0 I
plot count turtles with [color = yellow]
1 _6 y& g4 V; R) Y! c* Y set-plot-pen-color green/ y2 V6 r" t2 }- W( U' i
plot count turtles with [color = green]( x* |4 Y# B: |9 @# t* W
end
1 o) ^7 Z4 L) Y% mto update-lorenz-and-gini-plots' k$ l2 ?, [7 A7 Q5 j% _
set-current-plot "Lorenz Curve"; h, f1 B5 m! w2 e7 y. u- ^: F
clear-plot
: Q1 D$ j0 E: P, f7 @ G
1 i( n8 W6 o- @% A8 ? set-current-plot-pen "equal"
8 R: [4 x& k' ~, j& ]& L plot 0
" g. V, p$ J9 @# Q2 p) W/ p$ H plot 100
) i7 C# p3 T$ p+ D4 f. l& V( U% B7 i; H& z# |+ t
set-current-plot-pen "lorenz". }) O z- {. N3 c& [ P) b
set-plot-pen-interval 100 / num-people4 Y0 q; o, B9 G$ @9 F
plot 0
* x1 @6 h7 ~* c2 P7 G
* O( Y g- M! Z( [* i; n let sorted-wealths sort [wealth] of turtles
1 T3 P; o! t z& o6 s* j let total-wealth sum sorted-wealths
! g; f$ m# t5 ^3 U. k. e1 { let wealth-sum-so-far 0
: `6 k. Y* T- i7 w ] let index 0
6 X# }. [% `9 T+ r let gini-index-reserve 0! X X. N9 m' ?& t# ?
7 F6 T7 h8 S7 Y& _0 j
repeat num-people [: U7 K* P. m7 s& X* h
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
" c; [9 K( Y# B: `+ _ plot (wealth-sum-so-far / total-wealth) * 1006 }5 Y' b5 _: x# M: g
set index (index + 1)) U! l1 W `* y+ }8 H4 Z0 H* T! e
set gini-index-reserve
- x3 D0 C; N8 Z0 n3 e1 [ gini-index-reserve +) C) x# d0 S- \4 R& |
(index / num-people) -
& U( D8 p. t4 t0 U7 B' L- p (wealth-sum-so-far / total-wealth)
, j6 k' T! g( O# q5 ]) E0 `" d6 n ]7 c( R8 [1 o$ z$ O0 G+ n
K% d2 A8 Z4 U+ e* x set-current-plot "Gini-Index v. Time"- L. o4 J7 K& f: X3 n8 v1 {1 {
plot (gini-index-reserve / num-people) / area-of-equality-triangle/ Q% ]% [: {) V+ T0 C! i
end( }$ F5 k( r- ^5 t
to-report area-of-equality-triangle
9 R: c% a' U# a' V; @+ v report (num-people * (num-people - 1) / 2) / (num-people ^ 2)' p* Y4 L" _3 w9 h; T- C
end |