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
% l, l& |3 ~" O7 x+ D6 `globals
% x( G6 u" A$ `# C' p4 ?[
4 t9 {! I) F. _; D5 r$ j; c0 }& n max-grain
5 p8 y7 @% ?5 c! q
0 K' e {8 h, o) j4 Z* T4 e. O]( H" b+ _( ?9 P0 c5 n! Q
1 l' _% \- B/ T lpatches-own
/ [) j5 c% `0 A, Z[) l+ ~5 r: k$ Y+ W; \
grain-here
y s4 {/ e7 x/ T, z) ~+ Q8 K, W max-grain-here ' ?/ [3 H& U: b
]' r. P) w& ]3 h: |. {! V
3 |+ u5 h6 \7 Fturtles-own
0 \ I( g3 q9 v[4 `; h9 X" V* B& l- {. ~3 [/ j) N0 J
age
/ v( \$ D- ~" i6 O5 a- Y/ S. C6 B wealth l: N6 X- H K5 h1 h$ p2 r" H
life-expectancy 1 {% z) D5 U& A# Y; a& w* F
metabolism 9 Y! z7 ]* y( b. s6 Y
vision
$ O) K4 h$ U4 a5 }6 n3 L. f! W6 v inherited
; G2 I; d& ]$ p- L5 r" Y]
4 ~7 p2 y( Z1 V S+ c. Q: I
8 n' D% r! A7 V) I
6 u* r6 L1 u3 v$ G, p0 @, Ato setup
x! H* k. V$ O9 U% ?1 N- i ca3 [, W p' a; V: ?# {
set max-grain 50
( C7 m! y2 \# \, E" A) o& k setup-patches
8 k6 A& d* d# O: g( G setup-turtles: }6 D0 q* k+ J, M. o
setup-plots
8 O" z7 s# C, S% g- K: d7 Z update-plots
, \. m/ { I# @: Q8 }2 P2 q( }end2 k, j0 I# V( w* J6 \
to setup-patches' Q2 x6 m7 ]; V3 U
ask patches
9 ~* I Z4 a9 B* O [ set max-grain-here 0
5 ~9 c7 p' d+ r1 W if (random-float 100.0) <= percent-best-land
% F: p2 n% x: ~; R( i [ set max-grain-here max-grain, E6 E6 @8 R c8 v1 v
set grain-here max-grain-here ] ]# M+ X- j4 {0 }
repeat 5
; T! P- M& Z K/ x- ~# r' d, v$ X [ ask patches with [max-grain-here != 0]# q. ~. z4 g# B8 i0 G7 e Q
[ set grain-here max-grain-here ]
: w Y/ ]# u% k diffuse grain-here 0.5 ]- E& x& ?8 f, e! s9 A4 d) z n
repeat 10
; }. {3 l' @$ G0 @3 Q0 L [ diffuse grain-here 0.5] ( B* t3 _8 P3 B0 z8 V
ask patches
$ K; v$ H8 W, W$ b [ set grain-here floor grain-here
^/ k; v5 L" B: J/ X; z set max-grain-here grain-here
; m5 j% L' H9 A: s# q B recolor-patch ]1 o) R" \" R4 J; [
end- c; y4 {( N" C9 G4 N
to recolor-patch
, \2 H- u2 L( k# N0 e set pcolor scale-color sky grain-here 0 max-grain
5 T, `7 _/ c9 Uend! [4 p; Y' V; ?4 d
to setup-turtles2 \: F) d& W; O: }: C8 N* X4 v
set-default-shape turtles "person"
! Y. l6 |9 G) x8 j crt num-people: O1 ~0 `4 u2 l7 Z2 {. e/ x
[ move-to one-of patches - O4 g4 K6 a5 s" H
set size 1.5 & Y; Q l" l% h* }- }
set-initial-turtle-vars-age
5 W2 g2 o, ~; h set-initial-turtle-vars-wealth! ~4 `$ M! R4 f( V
set age random life-expectancy ]
8 b# V1 N A% ^( q recolor-turtles
9 j/ v8 {2 d5 j9 fend8 ]- Z, B8 t4 t1 r! r7 j
. k! _* G1 e2 e6 y; p* |
to set-initial-turtle-vars-age
5 k) c& j5 X0 {( j- D+ t P let max-wealth max [wealth] of turtles
# ?+ q& P, X4 P7 L" Y$ Q' |
3 {6 }3 n' `0 Y! ]$ R0 X2 `$ _ ifelse (wealth <= max-wealth / 3)
( m9 h; I5 d% y [ set color red * {5 i& y: L c
set age 09 C. V5 B* ]( X
face one-of neighbors4 " ]8 q: h, v# N! X+ R7 l
set life-expectancy life-expectancy-min +3 I0 F4 v" M; t9 p1 L$ c
random life-expectancy-max # G0 |4 Q- { m/ _+ H& n
set metabolism random 1 + metabolism-low
8 u1 x6 V. R1 P( J k: e set wealth metabolism + random 30+ X8 \' U. t) O! Z8 f
set vision 1 + random max-vision
% @, l5 l* F) w% g8 E set wealth wealth + Wealth-inherited-low ]( B7 L2 U' L' I, E+ @
[ ifelse (wealth <= (max-wealth * 2 / 3))
5 D* }, Q" K. l7 Y, x$ g8 [ [ set color yellow
2 b! h; E5 A2 r% { set age 0
) b4 m p9 `- u) W face one-of neighbors4
7 \3 w# g3 x' I( u set life-expectancy life-expectancy-min +
( d: |' x% \4 ]( v+ y: a) F: b random life-expectancy-max + 1- i! Z* ?4 |# X, g4 \3 A
set metabolism 1 + random metabolism-mid: B' S7 b0 ^8 J1 t9 g+ g. f, |
set wealth metabolism + random 30
- G3 ]8 r2 E8 D, ]+ U; O2 \. \ set vision 3 + random max-vision- P6 Q8 N# T" e0 G
set wealth wealth + Wealth-inherited-mid]
9 k* c, y/ j% T$ ~. L6 s) ? [ set color green
' z* F. \% D2 I+ f8 z+ h. o/ R set age 07 O Q" G& ^* C4 e8 W/ }
face one-of neighbors4 " k/ o q7 R2 x3 x, z } O" f
set life-expectancy life-expectancy-min +
0 Q+ ~% c9 s/ s+ | random life-expectancy-max + 2
0 }( N+ d" i+ w4 b* X0 N set metabolism 2 + random metabolism-up
+ N! ~9 R( D1 Y. i/ j4 ~9 T# M( J! I set wealth metabolism + random 30
7 {# @- \5 u& d set vision 3 + random max-vision+ R& y( {. E0 [3 a" t* i8 ?
set wealth wealth + Wealth-inherited-up ] ]
$ ?9 p1 @& X8 K& w9 ] $ r* l. r' o. ^
end& D6 C; d1 F! \7 s! _5 B8 E) ^/ ^
to set-initial-turtle-vars-wealth
+ H" c$ S; f: q1 k' M let max-wealth max [wealth] of turtles
7 i$ C) E) K* y) A u0 M8 m set age 0
- m0 H) g9 J1 s; W- J2 C face one-of neighbors4
/ d |- U1 P9 o( w ]* |: q set life-expectancy life-expectancy-min +' b/ ?2 ?2 T* r& h" _
random life-expectancy-max
; C" K0 M. c2 Z9 R set metabolism 1 + random metabolism-up
6 i, [* B" y7 \- q9 z set wealth metabolism + random 30
_; b: i) }6 s ^" c* r M j set vision 1 + random max-vision ! C8 T5 i0 {, T) ^5 m$ T4 H r
end
* G4 g V8 Q7 ?7 M4 F" B$ Eto redistribution
! Z/ e, W- V- r4 K- vlet max-wealth max [wealth] of turtles
& S- }2 P5 h1 j7 {& x4 Plet min-wealth min [wealth] of turtles
$ B+ n5 e" V. j( b6 Bif (wealth <= max-wealth / 3); S* T6 c. \* l9 O, r3 E" n
[set wealth wealth + Low-income-protection ]! I; L, {% f3 I# R% c8 L5 ~4 f$ C( M
end7 [( L2 u% ^9 W0 J( @* D
# ^0 K) A% ~2 u: |& }, a+ ^to recolor-turtles/ y' N& O' t6 Y) Z0 Z
let max-wealth max [wealth] of turtles. ^" Y+ N* R5 ~6 o
ask turtles1 W" p. |7 o$ M2 b' I6 m' h" I, }3 c
[ ifelse (wealth <= max-wealth / 3)2 v {1 }2 T$ @# O; i
[ set color red ]
) B5 G4 [3 u& u [ ifelse (wealth <= (max-wealth * 2 / 3))5 G- T1 g1 L8 Q6 E
[ set color yellow ]* z r6 x9 t: {: I6 x
[ set color green ] ] ], k% k& @6 N9 b: ]
ask turtles [ifelse show-wealth?
% M! P. e5 F8 f$ {( t8 h [ set label wealth ]
! v, m* A$ @ _4 N [ set label "" ]]
$ \. U* K5 Z) Jend* R% ^7 @6 p1 o$ r( ]. O1 D
" g) T5 t) |2 F9 M! W
to go
, P2 p7 H# p, C$ V3 \% }$ r ask turtles) X! h4 M# r2 }; G8 z7 l; }
[ turn-towards-grain ]
6 P* d9 \% H1 l5 t1 S harvest
: l' g0 w: F" B# H. n+ U ask turtles( `3 g$ M0 S# q! P X
[ move-eat-age-die ]7 ]6 f) P( |" @& Q; u+ R
recolor-turtles
# @$ m+ O. Q* f1 w8 Y- D if ticks mod grain-growth-interval = 0
E/ S1 j# z: x& f [ ask patches [ grow-grain ] ]5 W/ a2 R$ i1 _6 x
' U" F5 q- M# c( k& V- g if ticks mod 11 = 0
9 z: T$ K) b" g, g( M6 a P# R+ g& L* T [ask turtles
. n( O1 d$ E( K4 A4 b3 K [ redistribution ]]- t8 n) P" \) T
if ticks mod 5 = 0
& f" a4 ?7 H( F- F$ E [ask turtles, K8 d" ], z) Q& `: _
[ visions ]]
7 O& U4 f4 s! Y$ b$ e, D& G! G tick& L2 s6 }* o4 d
update-plots+ o9 G3 a4 E v7 ^: _$ }2 K( _9 v
end
$ h; M3 H/ e4 e/ O5 t8 A. \to visions3 k6 d2 H. h4 b3 I/ [! t8 b6 a, F
set vision vision + 1 : n& F4 D4 M# R5 `9 m8 }9 p
end
6 ?* e, ^! m) O9 F! X
9 _5 B6 e, L8 ]( s/ ?; K' `3 [) T. ~9 N
h% G3 K+ J# k( H3 `" X- p7 Mto turn-towards-grain
/ C3 T" ~4 g2 `6 S set heading 0
1 q. _3 ?+ p+ ~% d8 |* E h let best-direction 0
) h5 D, {2 V Q- ?* f let best-amount grain-ahead
8 _) U7 \. d* z1 b9 X7 a! f+ L set heading 903 S* B/ f' z. ]7 F/ K2 z
if (grain-ahead > best-amount)
9 \7 A8 X2 q: P; Q/ V; c, C [ set best-direction 90& m0 D' \# P& V8 L1 ~; p' q
set best-amount grain-ahead ]+ F7 g( Q+ Q+ m0 d9 f
set heading 180' T) c5 F: F5 d/ G2 y7 j
if (grain-ahead > best-amount)' `2 y: o; Q& X
[ set best-direction 180+ H6 ?/ w3 ~( r- U" L6 I# y$ O
set best-amount grain-ahead ]5 u# k5 B" U6 f* H8 g
set heading 2701 N: n" s4 H9 B6 n0 u) n8 c
if (grain-ahead > best-amount)+ c# f' G) M9 s8 L) k& \2 |4 I& K
[ set best-direction 2706 T1 D! D/ h$ ~- f3 f9 \
set best-amount grain-ahead ]
3 a! h a: f% W M' t( ~ set heading best-direction
' C' ]# I7 E4 W( q$ rend1 b+ d" |" Q8 \5 \. B) f
; A U' a: ]" |) f
& r) i. {& v' Wto-report grain-ahead ; ]6 @0 C% a3 Y( z9 O1 `; W
let total 0
6 F+ t; {: R; k6 L0 I/ u let how-far 1( {8 h. d& }* l
repeat vision, {1 G# U9 O1 `$ o( A5 A
[ set total total + [grain-here] of patch-ahead how-far5 Q3 ]3 e& ]- }6 Q9 z( M
set how-far how-far + 1 ]4 @! B: ?3 w/ [ b5 s" L
report total K6 q0 z7 d& {8 Y
end
1 |9 u4 `7 ~8 [* A9 F
% w% ^( O4 g0 |4 {5 h' Y3 F7 sto grow-grain
4 s. o4 o" O D" B0 x' K7 ] if (grain-here < max-grain-here)
% E+ _' K/ g2 E) T( o [ set grain-here grain-here + num-grain-grown0 s$ h5 _) u- _& e2 R
if (grain-here > max-grain-here)
$ F! ?: h3 ?( a; B: y1 K u8 G [ set grain-here max-grain-here ]7 R6 i- |: d3 c8 \; Q
recolor-patch ]
* m6 |) d( l7 w) [! Eend3 y% c7 @% ^' F& V: M9 s( ~ x3 r5 t
to harvest
5 B: w! R; f7 a3 P7 l- c9 B! e& f ask turtles
6 ^; m' u# z3 h5 O8 u [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]# V. r/ S M- Y# z2 {) ^
ask turtles
8 h# t3 `& f5 p- D1 E) R6 w [ set grain-here 00 `3 I. Y, h. f% `
recolor-patch ]
) }9 w+ }- ~/ D6 j' K: W! t $ ^* L4 r( I9 o" Z9 q( S( Z/ p
end
! C% Q$ }$ Z5 ~* O7 o' H& A; s
( [7 ?5 z* F& j$ a0 q, x$ ~* x& P7 g4 `to move-eat-age-die
0 z% s5 k" p& f fd 19 B# g4 p5 S% ~) \" e8 c1 a' u& m
set wealth (wealth - metabolism)( E- N+ o" @1 _% ^
set age (age + 1)0 U+ t. L. y4 C- L8 F/ @& n8 W
if (age >= life-expectancy)
( _: Z* N# D* D Q1 H" z* @ [ set-initial-turtle-vars-age ]
& q" z4 _* K& @$ B if (wealth < 0)
% f9 q, Q/ }: e! m9 d( x3 P [ set-initial-turtle-vars-wealth ]+ } F) R: z) `8 P
7 ^" f2 s2 r A9 [; X
end4 m4 n$ G `6 c, n7 H8 G" c, `
3 b( }1 O( s' E5 ^3 ?
& H! g' K/ B W7 Ato setup-plots3 T1 H6 w' p! y
set-current-plot "Class Plot"& ~+ o6 q- n- B, n& s7 d, w
set-plot-y-range 0 num-people
' R4 x- x) q! w+ q( p" p set-current-plot "Class Histogram"8 r, D$ ^7 L6 I, x
set-plot-y-range 0 num-people! K6 }; \& i) j& L! M
end9 S, U, A# ~, S
6 @8 K" j# A4 x5 Y' j
to update-plots
: ~$ O, d$ t6 V update-class-plot
) E5 O- i, z% V# S+ y, O update-class-histogram3 g7 @5 S) f3 Q3 L" h. n1 K
update-lorenz-and-gini-plots
" P9 z% g2 b+ q* P5 n3 g3 Lend
2 c! y% }, n3 g5 i8 C _2 A1 v6 j9 N: [- g$ a& H
to update-class-plot
# y6 ?# i' P+ c/ b set-current-plot "Class Plot"& B6 |1 N$ ^: @% i6 `
set-current-plot-pen "low"
; `! `8 c' E) W, C2 R+ a: ] plot count turtles with [color = red] @8 r0 U3 X( C/ L
set-current-plot-pen "mid"
' ?( k7 t2 r( ], S: |' d" R plot count turtles with [color = yellow]7 t: ?! `/ P2 M+ C5 V
set-current-plot-pen "up"
# i& }7 O7 b2 u7 f plot count turtles with [color = green]
( r# l: l4 f, X. ~1 V' R2 j: g aend! X7 r4 O I) ?: ~
; n+ b B0 q. u" ato update-class-histogram- B4 ~# y- u" d/ d: X
set-current-plot "Class Histogram"
: E. n; o( H+ h plot-pen-reset4 f. ]; r \6 V, H0 S( ?
set-plot-pen-color red
- o+ y. I6 }' u# H plot count turtles with [color = red]) g' ~3 T+ ]1 ~" _
set-plot-pen-color yellow
/ l7 }' f$ Q7 ?2 S X- Y plot count turtles with [color = yellow]
9 O+ E+ m1 L, D% @/ }( ~, B3 I set-plot-pen-color green
+ O+ i# U9 D8 i J2 s6 V' ]( ?; [ plot count turtles with [color = green]
# `1 M" M3 F$ }7 }" wend
0 Z% i; U* V' d- S$ { K" yto update-lorenz-and-gini-plots: x8 i- X2 o. u0 U% i9 Y
set-current-plot "Lorenz Curve"; v% h% Y& S6 \8 P0 e1 u
clear-plot
u Z3 z [: Q# B0 s' W, K9 i: j# |) \; b9 U
set-current-plot-pen "equal"
: D3 J3 V0 e: p0 o0 Q |7 U plot 0
1 N. f( a- }2 Q% c; D. U$ y8 R1 { plot 100' S0 y- b L3 A* u" b, Z
' J: J# p3 P- f0 B3 O
set-current-plot-pen "lorenz"1 [. j6 Q; x. D% \: V( s0 p/ O- Z
set-plot-pen-interval 100 / num-people3 N" Z1 Z% Y) }# E8 t8 w+ C: k
plot 0
! f# F7 T2 w& c8 P, s. F6 F; e i5 |5 }7 c
let sorted-wealths sort [wealth] of turtles
! J# I+ \$ t l$ N8 w+ q8 Z; N let total-wealth sum sorted-wealths8 e8 ~* [' P8 `; {; U
let wealth-sum-so-far 0
% r4 n+ X; `: r, A% v) I let index 0
2 G- A0 f4 z/ d! q. U* `7 H let gini-index-reserve 0! r8 T) d( G& P% R" m9 F- r$ D5 J9 v
) ^- Y x% s' P+ h2 Q: n9 h
repeat num-people [
* d6 L" B! O, F, h8 S3 S set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)+ y& \( A6 V7 q- M1 C; h
plot (wealth-sum-so-far / total-wealth) * 100& d2 i. v; W5 C' `1 D% @! ?' [* `1 R7 `
set index (index + 1)
$ N7 X4 E& o- E1 \% c2 w set gini-index-reserve
8 c0 g! | v5 a gini-index-reserve +9 m' N T7 h( d8 m
(index / num-people) -
4 t+ t) a G* K (wealth-sum-so-far / total-wealth)2 `2 L$ m4 g: J7 x/ L" E" R( P
]
6 m# L. x6 z" { M/ F
" Z- J7 ] H6 k& l1 V; f set-current-plot "Gini-Index v. Time"8 r7 o+ S" |9 m7 c4 a
plot (gini-index-reserve / num-people) / area-of-equality-triangle& S# q* P8 M3 G9 l9 S
end
9 m9 K# R! ]8 cto-report area-of-equality-triangle
% q" B* f+ a' t/ `; s8 d7 X" w report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
, f; Q7 C3 B4 s- j' W( \end |