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
% z4 c" s' j. P) j' p0 R2 Hglobals
/ { }1 U0 q. S+ W6 E3 L- g9 U5 ?8 d/ I[
' R E: K4 V7 v' |! @ max-grain
& k8 o& e$ c+ `/ u; |: a, R* T( Q4 v# w* p
]
2 A; I8 w$ ?( ]. j; m; I: Z) u. d$ a
patches-own9 b# X4 G, f3 N0 p5 y
[
1 H W" K5 }9 O5 j grain-here
4 S& g- O" o" F4 D. A3 i max-grain-here ( Y. L- W( Q8 o( E0 O3 P
]
. d: T3 X. K% A8 K
3 D2 a7 U' j. @, s& X+ tturtles-own
. O$ c4 X: p. s5 x0 j- ]* |! A% o[5 U) X2 ~% p7 d
age
# ?7 C( _; P- u0 k! r W wealth 8 p. p2 e1 _& @$ U3 e: ~5 r
life-expectancy
. h! I5 ^" L( n( V metabolism
/ }1 _9 L: Y! B& P; }0 q2 ^8 r vision* [7 v: K6 {' x P& F5 L
inherited 3 G+ o- d- A7 N! L6 \
]
. x L( f& e$ R# f( k
9 Z1 T" j% ], K: @: a1 c5 e: ^$ V0 i* ?* N* `
to setup
. Z8 k. c5 W9 `" B8 i# T4 S ca
+ h9 K6 A' b8 p set max-grain 50' V' b- S& ?. Q5 p2 T
setup-patches/ E2 i/ W. b) w' _
setup-turtles. V( f& h* d8 @7 g# F
setup-plots& i; H- a2 V: [4 A6 f4 w( A) z
update-plots
+ P% q+ F1 ], t# Oend9 m0 m4 i' |% @& T7 `
to setup-patches
( V4 V: ]; _" @& p9 _* x- z y ask patches4 ^) V- |) f9 V+ C+ w1 n
[ set max-grain-here 0
! A2 d% M" A$ p8 v if (random-float 100.0) <= percent-best-land
7 h1 V) u+ N2 ~1 i0 E. v [ set max-grain-here max-grain- ]2 p8 ~7 X) A2 t+ Y
set grain-here max-grain-here ] ]
) ]* I l. y5 p repeat 5+ T% l* }) f" f, W) \3 P
[ ask patches with [max-grain-here != 0]
, Z+ k. Q5 k' ~$ q: h- e: ^5 j6 m0 E T& U [ set grain-here max-grain-here ]8 K I* ^/ |. `' `6 J. E( Z4 d: ?
diffuse grain-here 0.5 ]
6 E) H$ f- [1 q* @ repeat 10% k$ j( p3 _& u6 S% u
[ diffuse grain-here 0.5]
$ r% c, l9 r. |# Q$ _ ask patches
9 T9 y. A8 U! @0 I4 s0 X [ set grain-here floor grain-here
4 j2 q8 @- L8 U3 W4 [6 U' ]. ] set max-grain-here grain-here 0 ^- ~( U- D1 ~) }. X9 i0 W" y
recolor-patch ]8 {) G6 {& z/ J4 h- l
end' w3 X& W$ C- Q. E: x i9 f
to recolor-patch
/ l- n2 k8 R3 m* N8 i/ } set pcolor scale-color sky grain-here 0 max-grain
A0 P: K# ^' K. K) dend
) A5 J6 Q5 |3 G6 l# T9 Oto setup-turtles [2 D+ r) n ^4 w
set-default-shape turtles "person"& _' E$ P h8 I! b% c [1 G
crt num-people1 @% |6 B D. v7 { h
[ move-to one-of patches
& N) K0 ~' m6 Z% J" X& P( X# I set size 1.5 ) g L4 a0 l1 E- T, _) d3 d
set-initial-turtle-vars-age
0 K0 S8 r5 g8 q- N c* c! s! d5 a set-initial-turtle-vars-wealth
! D/ P* k! ]! ?& g set age random life-expectancy ]; W% t# o d9 S* A% t( }
recolor-turtles
A! e( r/ s6 R) Z( i4 @: C3 B5 Rend
% q9 g, r" z" j7 }# g8 y4 J; k0 b0 |3 r
to set-initial-turtle-vars-age" H; t; X& E8 ]2 b7 ~
let max-wealth max [wealth] of turtles8 y" h( i6 e& N4 S6 p
, d1 @5 {4 ^( D" a, I& } ifelse (wealth <= max-wealth / 3)
; d$ K( n. H& V7 q4 h( V [ set color red % [% g% x( N" y. ]3 I7 o; b
set age 0' U0 p, [/ J6 H7 h. r
face one-of neighbors4
9 {/ e% _$ L0 C set life-expectancy life-expectancy-min +
( H2 a# Q) h. z: F+ E7 p random life-expectancy-max
) z, s9 q i: ]. u- ]+ ^- h set metabolism random 1 + metabolism-low2 h3 ^. m/ k/ H o8 R4 k
set wealth metabolism + random 30 L& c" j2 t& L& M3 n" X. O
set vision 1 + random max-vision
! X1 b0 P9 Q! y* G+ f( r8 e. U set wealth wealth + Wealth-inherited-low ]7 U8 ~- M( N& F. I. M) g4 N9 H0 c
[ ifelse (wealth <= (max-wealth * 2 / 3))
* f, ]5 a- G% Q! r [ set color yellow # _) g3 M/ P. ~9 `9 v
set age 0
1 \( F! W! ^ i, ^5 Y face one-of neighbors4 . S" }' x8 O( u" |% m8 v
set life-expectancy life-expectancy-min +
" D3 g$ a6 W5 _* `2 P# C2 Z random life-expectancy-max + 1- F+ k- N8 q) d- [+ S
set metabolism 1 + random metabolism-mid
( I8 T% l& J" q( U0 l- {$ ]4 _ set wealth metabolism + random 30+ l, W3 x, i% q I/ R
set vision 3 + random max-vision
' ~; g. g! i5 n% P set wealth wealth + Wealth-inherited-mid]$ r( e7 F ?/ ^3 r2 `
[ set color green 6 `8 u. A+ D8 g$ L- j
set age 0) Z: d* k& O- ~
face one-of neighbors4 0 e; G( G3 K. `0 x! R A# G
set life-expectancy life-expectancy-min +
4 Z, \& H! |" Y0 g& R3 y random life-expectancy-max + 21 H5 n) w" |0 y& p
set metabolism 2 + random metabolism-up
+ _" ?) q. R+ B [ set wealth metabolism + random 30
) O& |" |% H' t3 \' @1 _, Y set vision 3 + random max-vision( B1 R- r5 i" _ D! y- ~9 j7 c6 j% t: K
set wealth wealth + Wealth-inherited-up ] ] + e1 |' h8 G( @: f1 J9 _ L
1 \; v' o9 Z7 T7 mend7 g4 g8 \$ c! x4 G
to set-initial-turtle-vars-wealth0 X9 ?' N d5 ^* D
let max-wealth max [wealth] of turtles3 s4 g8 w: e0 ?. ^, ~0 Z. n- P
set age 0
4 ?2 @& m5 k% e( i' k# }1 E# C face one-of neighbors4 # `% M9 u$ w3 T7 x9 u! F
set life-expectancy life-expectancy-min +
0 [) F! `4 a9 A& W9 s8 a! P random life-expectancy-max
+ g! _4 ~% a' s) T T3 T4 l set metabolism 1 + random metabolism-up
8 X: e, A: \6 O! M. q6 i, [9 |2 N set wealth metabolism + random 30
/ b" r I6 ?" j set vision 1 + random max-vision % S9 o5 l$ t5 p2 F. t5 s' ~. I
end
4 ^" [9 x* j6 Z0 ]7 u jto redistribution
; ?2 V" X( G4 l. w5 plet max-wealth max [wealth] of turtles/ v( a0 W! a8 G, i- g3 |. q% l
let min-wealth min [wealth] of turtles* O: D L q) l1 Y( n' E8 L! u
if (wealth <= max-wealth / 3)
( u9 U# v1 M: c( F' d" I; v$ U [set wealth wealth + Low-income-protection ]
* ]8 ^( L. C5 A9 B' Q4 wend
5 W& g7 m7 h t) E
3 t3 w# L- Q- T0 Zto recolor-turtles8 K2 h; i0 a/ w, q) Y
let max-wealth max [wealth] of turtles4 E5 {2 k5 v5 t0 z' ~
ask turtles+ j. s: E& |' }2 x& k
[ ifelse (wealth <= max-wealth / 3)
. o, u9 G# D. B1 C; u [ set color red ]
! z+ z7 T6 b/ S9 C$ I [ ifelse (wealth <= (max-wealth * 2 / 3))9 D- y8 j' @* S& n
[ set color yellow ]
; e# k' O; o {2 } [ set color green ] ] ]3 C$ e8 Y4 x" y+ E; J0 i
ask turtles [ifelse show-wealth?+ W! k3 h- a* @" L8 s
[ set label wealth ]
4 A9 c3 V4 B5 ~' }% b$ y2 j! W) @ [ set label "" ]]
& C/ _8 l" z$ ?! J2 |end
v9 u! M" d: s5 O1 j
- L. I( T8 M7 u" W8 V2 Vto go
5 M/ D1 Z. @% Y) _ ask turtles
2 |$ v) r. U: w* _) L* | [ turn-towards-grain ]
4 k) o2 l' g( ^9 n0 W, R harvest8 g5 E" }1 S5 o3 P* R
ask turtles1 G0 G/ g5 k: j3 Y8 _. m
[ move-eat-age-die ]7 C+ s% d3 e* r3 l5 M
recolor-turtles' W; |$ v' o3 u
if ticks mod grain-growth-interval = 08 Q8 W/ }5 Q1 Y2 V
[ ask patches [ grow-grain ] ] }$ Y. g# u9 |( D- S4 w6 Q
2 i0 A+ t+ O8 c* X- s
if ticks mod 11 = 0
+ X' h9 w/ J( S9 f [ask turtles
% }& [' R. ^/ _9 G/ ? [ redistribution ]]
q, S" N! I3 X4 W* D1 M# _ if ticks mod 5 = 0
9 I, [3 `: ^0 k, E7 K [ask turtles
/ ?; |. k7 n- k [ visions ]]& |6 Q/ a9 Y' G0 T F1 F
tick' r4 r# J7 V) s5 ?& L3 l8 g
update-plots
( b7 s* e X/ Z& M8 R, Y1 Mend
z2 W! Q" X& W5 z z. A- |9 y8 Qto visions8 S+ b e# K5 y4 P3 y5 B
set vision vision + 1
( c0 C7 n. g$ h* q7 V" m2 cend
. d" }/ f6 H8 n/ c! \2 L) k; p( w# c, u! _. e; k0 ?6 Q* d
3 E' R2 O/ G3 S. e! ]$ I0 P# i
8 ^9 \- h5 q. C2 p2 H2 h0 i4 ]' U" \
to turn-towards-grain , B2 m& j4 E6 D: W% \
set heading 0 V9 n2 N1 C" ~- `3 G$ ? ]/ N' Z
let best-direction 0
6 ?6 S4 Y5 G7 h& U& D# } let best-amount grain-ahead, K0 o6 Q6 j; [* M
set heading 90
) ]; v2 d1 Y( F if (grain-ahead > best-amount)
0 }- R, Q# R3 r6 i( w [ set best-direction 90
4 w: p5 |2 r, Y% V set best-amount grain-ahead ]$ g% p8 D0 Q7 p8 q' y0 W+ p9 h0 b
set heading 180 V# Z3 V6 w# s* ~1 Q4 l/ {2 p4 ^
if (grain-ahead > best-amount)9 F4 @! J1 T h. e
[ set best-direction 180% t+ i: U7 \, W7 L8 e. q) W8 k: O
set best-amount grain-ahead ]( h# S7 k( t# C
set heading 270
6 w" ~+ \5 d2 Y/ J: M) b if (grain-ahead > best-amount)
% ]# m% b% j7 j& N9 X5 E6 f [ set best-direction 2703 C* K6 x3 O( U' A+ ^5 j+ i
set best-amount grain-ahead ]3 ]1 J, ~) Q2 B( K' O! I0 i; {* e
set heading best-direction, R7 ^6 ^( x5 h6 V
end
% n( |! V* \+ E6 Q+ k- E
, p, b5 X7 o! L/ }" i( Q9 }. ^' t$ d* j8 G' w. F! [
to-report grain-ahead - y8 P1 I/ m% P9 [1 C2 T, c! \
let total 0$ h: U' H: K% N0 d/ e& V
let how-far 1
6 ^7 b" l5 D0 ? repeat vision
* V3 Y$ ` a2 ~( A [ set total total + [grain-here] of patch-ahead how-far
7 a- d: F; x8 s( j/ _; _# e( ]% _ set how-far how-far + 1 ]
* Q) _" r1 a- I9 p report total
! N+ b% J- \$ Q% e" J, mend, C3 z9 j# l+ Y8 C$ T& J: U, \4 o
! R) V5 a* x" P2 Eto grow-grain # K% @( f" J5 n6 _
if (grain-here < max-grain-here)) W( o" v2 \6 F1 A( ~
[ set grain-here grain-here + num-grain-grown1 q0 I0 A1 s" H' A
if (grain-here > max-grain-here) 6 E8 a( \4 G7 I# f
[ set grain-here max-grain-here ]2 v% c4 x7 {8 r) m
recolor-patch ]
3 z' s2 V, e, Y1 ]5 e/ Zend
: Z+ i( c/ [/ j, B/ d3 Gto harvest
1 v; i& g2 H) V% _# R/ N ask turtles9 O6 }1 U3 f* [. x* r
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]# K8 h& a& r5 g, q
ask turtles
/ v3 J, L3 p: J! ]* q) D0 q8 c [ set grain-here 05 {# w; v0 n- @& b( x
recolor-patch ]
' r- W: v" x8 }" g/ L
- v+ q2 b# ]5 T9 y. dend
, v g* K( y+ V5 u" k9 V- S+ R/ R- V7 V0 J2 u% O l
to move-eat-age-die
8 L0 b# @7 f0 M# E% {: u- O fd 12 D7 d& r; u% a5 Y+ T8 U( a8 ^
set wealth (wealth - metabolism)9 {5 S, [7 S6 t; K' f5 B8 V
set age (age + 1)
% D5 L$ G6 S s; `' M. w3 ] if (age >= life-expectancy)7 R2 N1 v7 r' F" g; M3 o0 V2 Y& V5 Q
[ set-initial-turtle-vars-age ]" i5 R" |( o. K0 R- U
if (wealth < 0)
( Y2 J+ e0 W/ U/ F7 Q& b3 N: d [ set-initial-turtle-vars-wealth ]
) g7 U: ~. C& y: }3 H( Q* B# I 4 |2 @3 z8 E& A; v& l% c6 H. y
end7 P6 V; _0 \8 j$ X3 [1 v
9 Q. x/ A1 p3 n9 ]& o9 U2 v
! Z% e9 F7 w" X8 Z* S; s) mto setup-plots
+ A2 ~% k+ T8 n6 u- m set-current-plot "Class Plot"
6 Z) H) L& Y% K( i4 ~ set-plot-y-range 0 num-people
. k! W. y' n) P/ N& _ set-current-plot "Class Histogram"0 C' O3 w* S6 u4 j% x4 D
set-plot-y-range 0 num-people3 J6 z& x$ O: q
end& n. I1 p" H3 g, b, |
, x" G2 u! v% L& I+ Fto update-plots) F. f# f( s9 g8 d
update-class-plot; K$ j! ^) V& G9 z0 l' V, I
update-class-histogram
( g% q8 d. ^" A6 i# I# Y update-lorenz-and-gini-plots
9 }" h# y, U6 t, n; X* [end- r& R8 T8 j! r1 g6 p3 O* z c
8 y3 n# g; u7 R$ \to update-class-plot
6 X; D4 w% |# b% g: \( a1 C9 i set-current-plot "Class Plot"5 C. l& [1 {& j* C- S/ b) Y
set-current-plot-pen "low"- D/ w4 g4 a7 a8 \% f& u# i- U8 A
plot count turtles with [color = red]- w4 O% }6 E/ F: j' L
set-current-plot-pen "mid"
6 s% V! [: T3 q' G" Q0 A plot count turtles with [color = yellow]
( r9 T6 m* N9 i' X9 K2 s4 I! ` set-current-plot-pen "up"$ N' q# s$ a, f
plot count turtles with [color = green]
8 v- k+ V+ A3 T. @: k2 [# {9 ~8 |end; F3 G4 U8 U' C) p; R5 x7 T3 k
/ L. v0 b0 J5 [ E, Ato update-class-histogram# t. c( ]& S1 @ |' ], @3 c7 v
set-current-plot "Class Histogram"
% }: n" `7 J1 i) [7 I8 j9 ^0 p, K: e plot-pen-reset
- R4 J$ d* R$ J+ G1 D' H set-plot-pen-color red
- M) J7 P4 w) p/ V- Z plot count turtles with [color = red]
( S& E4 D: G5 b$ X% A set-plot-pen-color yellow8 B5 h7 P4 `/ _, D% e; q, f, D- C3 k
plot count turtles with [color = yellow]
% K# t' ?1 F, X; X7 _/ w' w set-plot-pen-color green" g/ j# a" R- f9 j% Y
plot count turtles with [color = green]
: ?9 i' V6 P/ l. [) T) Zend
. q# m# _3 w& G) ]to update-lorenz-and-gini-plots- ~5 O2 ]2 X7 c2 S! Z
set-current-plot "Lorenz Curve"
( [/ P7 M$ Z3 ]( \# a clear-plot. }% w1 n2 V- ?5 v! o- e
, X+ }6 O2 |$ v& }2 Z* P! z5 P4 h set-current-plot-pen "equal"
, V0 e+ g4 K' n- |+ H plot 0
7 C' v2 y6 b/ [2 v9 B6 _ plot 100
! f! V) H/ x& x w: b3 l, R$ H+ `5 G( C% v' G) u
set-current-plot-pen "lorenz"
/ {7 C ^5 F6 i1 g, |( u8 o) z set-plot-pen-interval 100 / num-people" R' W" I6 V$ i
plot 0( W1 F3 X0 `& r) ?
) i+ ~) x) e9 R5 D& N$ }+ V& v
let sorted-wealths sort [wealth] of turtles. |) R2 j3 o# _" x( T( E# r" K% b
let total-wealth sum sorted-wealths- L7 B+ b; P5 ^0 f) D# D5 F
let wealth-sum-so-far 0. R# Z, O9 x1 v. t; @
let index 0% K/ C2 R. e& t. q2 F
let gini-index-reserve 0) r5 o' c4 B8 C. P3 m) p2 S! K A' l
, R0 F7 u2 n' F6 t/ X repeat num-people [0 {# q% j& a. |' O
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)" b8 n( U6 Y+ X2 M7 t/ B' F
plot (wealth-sum-so-far / total-wealth) * 100
: u# I1 i* M5 M/ g# i6 p3 [ set index (index + 1)2 I' @' B. d% q! L, |; k6 r4 a
set gini-index-reserve; w( y$ N9 V. w* o# t$ E* u
gini-index-reserve +( U; h4 a. s$ y. h6 A
(index / num-people) -
2 {3 A& t4 {: g (wealth-sum-so-far / total-wealth)3 D4 ^1 Y# B! d3 N1 e& U
]- ?1 e) s s L
: E- `4 _8 c) ~ set-current-plot "Gini-Index v. Time"# X$ R( p3 [( k
plot (gini-index-reserve / num-people) / area-of-equality-triangle: X* n( l* Q- A% d! ?6 j
end9 G6 S/ o- g+ ], W! [ ^
to-report area-of-equality-triangle% E+ m( C8 j# U6 f8 G! P
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
; U4 x. H; w" f+ Z; i) }end |