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, Y& @' t0 R4 S0 \- t7 l
globals7 J! {, M1 }. H
[: W0 ^- V% u, _" q6 k* {
max-grain z* b* u' N* o5 P2 H. S2 D d
5 L8 x+ ]% B9 Q3 N]/ u" r7 v2 F& [7 ]( R: W, I
. Y' [- i; u8 g5 o8 |! Npatches-own
' j( q' Q( F# b( D2 h0 v4 P, M[
' \+ d, Y% c# H& D$ G4 B) A grain-here ; W( Y9 s1 r+ @0 Q9 f8 j
max-grain-here " `# R6 G8 e* ?6 c( h
]
- J: D9 Y- Y1 F4 m7 {- e! i0 P5 i, E: g: Z7 E
turtles-own
! q/ c, b/ z: B' G. ^. P[0 O- w) @/ y8 n1 O \3 J: [
age ' X- _/ ?6 W) ^, J! {9 H
wealth
/ A2 f7 {! \4 v* z8 n life-expectancy * W# V! M' Z7 K- U, i
metabolism & y: I& H. ?( w6 ]( y
vision
* N4 g. O* g4 @$ C7 m' L7 r' } | inherited 8 W m* b/ h+ {' i n, H
], y* g9 M. _) l4 c+ _0 l0 V
; k3 T9 h7 O+ O. g# {0 [# z o s* }
6 m) ?" G) j" z7 J" {6 Tto setup1 `2 j$ J) i2 f Y
ca3 j# ]$ W; I: ~5 x( O) h# m& K
set max-grain 506 |, B, ]9 ], I- @* g' E- q: p
setup-patches, M7 a# r, P. F" R6 O8 F( ~
setup-turtles3 `/ l7 W1 Z# U
setup-plots+ ~: a) m! k6 I6 [1 Q( P7 }/ ]! d
update-plots& Y$ ?4 k. m: b3 B1 F( O; S4 x
end6 V; m% y9 @4 l @ y- ^
to setup-patches
) t: N( m" w8 G3 M/ [* ] ask patches- U, p' {/ ?4 y9 X/ B3 P4 M8 R/ ], N
[ set max-grain-here 0: W3 E) X3 b6 F7 W) D# `
if (random-float 100.0) <= percent-best-land
' H- s, Y M( b J! ] [ set max-grain-here max-grain% O. w, Z7 t9 J: W4 k8 F7 Y7 x
set grain-here max-grain-here ] ]1 y ?% W: `' l0 R4 g8 c8 d% n2 |3 `
repeat 5+ E; P1 ~9 o) l' e. n% q
[ ask patches with [max-grain-here != 0]
0 t9 _6 p8 S; L; n* { [ set grain-here max-grain-here ]. u; G# I4 W6 n
diffuse grain-here 0.5 ]7 s8 k# G7 b: ]7 B6 b" ]7 ?
repeat 10$ ]" g& `8 |# e9 V8 ]" |- g! {3 u
[ diffuse grain-here 0.5]
5 z% j5 @% h8 `# C \+ w& n ask patches
8 a* |0 X5 f# ?1 t! p! k [ set grain-here floor grain-here 0 f. F$ H/ B% Y; k* ?, T% m( P. T* p
set max-grain-here grain-here 0 J2 Q) ]' J. _: Z* X
recolor-patch ], r; ` i' r5 E8 Q; ?; e7 N' I
end, G' Z7 I' a/ D& W" w7 j, I6 p; Q5 [
to recolor-patch
: A& c' U2 Q4 {& Z0 h1 o set pcolor scale-color sky grain-here 0 max-grain
2 ?+ J) X+ X4 G6 k7 oend
N8 x1 |! v: R3 q2 E9 m4 l2 C% j9 eto setup-turtles, Z9 ^, G4 ]7 V4 Q
set-default-shape turtles "person"8 w$ }! p% h7 F" g! K
crt num-people1 F& H* E) |9 A8 k
[ move-to one-of patches ( g$ b0 }* A2 q1 M9 V8 [
set size 1.5 ! o4 ]% L" P# O& N7 ]& }5 Y7 m
set-initial-turtle-vars-age
: m! j$ z( P u0 v$ h set-initial-turtle-vars-wealth
# I# E; p, b* D0 ~7 d! t set age random life-expectancy ]1 }' @5 v& |- \; [
recolor-turtles
7 I+ n' L( c3 t! v- N7 Uend
5 B5 c2 F0 l7 I3 }; B3 s! m' j4 c! g6 ?2 w; W$ t" D- q
to set-initial-turtle-vars-age- b- Q" Q8 l6 C
let max-wealth max [wealth] of turtles
0 ~* P( o8 e1 @/ A3 v $ g1 s: u, Q+ q7 `% i
ifelse (wealth <= max-wealth / 3). \% ?# P( O; E1 M4 B! d; {0 _
[ set color red * e9 Y3 E' q% `9 {* _9 X) g q8 Z
set age 0
6 s! N+ B7 q8 J* h# v' X8 a1 f! Z R face one-of neighbors4 6 E: f) J- ~0 }+ O6 w
set life-expectancy life-expectancy-min +
( M- D$ J7 A1 Y6 g1 Y random life-expectancy-max 5 T) V1 s* N; ~( e+ X6 x
set metabolism random 1 + metabolism-low$ o% G6 e, g) k! ~( a% h) _5 @% G
set wealth metabolism + random 30( V* }, m9 o( @1 B& c) B8 D+ v O
set vision 1 + random max-vision) o7 A5 j7 n D/ C9 E
set wealth wealth + Wealth-inherited-low ]' ^7 I7 X, x! D& Q& ]
[ ifelse (wealth <= (max-wealth * 2 / 3))0 b( @8 `. H( j: r4 B) S' Q
[ set color yellow 9 H/ l, X& F& q- i( [6 Y# H. ]9 D4 p
set age 0
w* H' g& a1 a) g2 U, E face one-of neighbors4
4 M+ |. G6 d: P; Z9 v: M$ E set life-expectancy life-expectancy-min +$ s! ?( O. x2 C8 z0 C
random life-expectancy-max + 1
$ d4 t1 G! I3 f, z3 } set metabolism 1 + random metabolism-mid
# i1 Y( X: X; Z" I8 B set wealth metabolism + random 30+ e6 X+ q$ l( E5 g% p- W
set vision 3 + random max-vision9 y( n4 a* x S, H
set wealth wealth + Wealth-inherited-mid]; ?0 E# U7 o* @! j+ n1 }
[ set color green 6 t% W. `# s- l6 d5 X( h
set age 02 N5 C3 l, ?, @% G, z9 J1 H! b- G
face one-of neighbors4
W" X) L Z# d& j! T6 k3 x0 e' i set life-expectancy life-expectancy-min +
0 N1 g3 ~8 L3 }( d9 W; w; L random life-expectancy-max + 2
2 z7 t2 p( }) | set metabolism 2 + random metabolism-up& H" [" T& u M* l( `3 g' c
set wealth metabolism + random 30& @4 W, v; t2 @/ w" e; y
set vision 3 + random max-vision
{& I, @1 I8 u H2 ~+ E5 x set wealth wealth + Wealth-inherited-up ] ]
, l2 J5 a4 ^, | e 2 R' u( |/ @ h: h2 m
end
z- e+ w) n% l( s* o& D2 k: d: J9 Bto set-initial-turtle-vars-wealth' L# t3 R' E- X( ]
let max-wealth max [wealth] of turtles
. s' |: ?: J2 l7 K set age 0
! l# O, S3 x: W- e' Q face one-of neighbors4
' w. _" @$ B* y; G4 Q7 }( x4 i set life-expectancy life-expectancy-min +
+ C# t# V6 V, L, v! W random life-expectancy-max % C4 ?9 o" z6 R+ }" w
set metabolism 1 + random metabolism-up
4 B& V% e8 b8 T! p6 X set wealth metabolism + random 30
1 a h1 N7 h, M! _: m set vision 1 + random max-vision
1 \$ ]/ S" ~: W( c6 Z7 I) {+ g( `& vend
+ Q$ p) V: {7 N, h& ato redistribution; U) x; Z; u. W& [
let max-wealth max [wealth] of turtles
" r" B* c, S) Q$ T# Llet min-wealth min [wealth] of turtles! a' S6 O! W# t0 ]
if (wealth <= max-wealth / 3)
) m! o% h1 P, _ [set wealth wealth + Low-income-protection ]
' I U9 h& b- i( v& F6 d3 }end
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to recolor-turtles' M: s- A. c5 w0 l7 W1 ]" p
let max-wealth max [wealth] of turtles
( ~' q" O! P. }. {" H$ W0 y ask turtles
" {+ S% s$ X/ `% s& R6 q [ ifelse (wealth <= max-wealth / 3)
4 b) w6 I4 |, }5 S; n5 ~ [ set color red ]* i& {* q/ L- W& D
[ ifelse (wealth <= (max-wealth * 2 / 3))2 m, j, T! A% ~* U! R1 V" u; e
[ set color yellow ]8 U! i6 K I, k0 p& F3 o$ Q6 q
[ set color green ] ] ]# A. \( s: l9 z+ P
ask turtles [ifelse show-wealth?
( ]) E: M; p$ U6 ]& } [ set label wealth ]* T8 ^% E6 G: L% z. ^2 r
[ set label "" ]]
: L9 \! v o- T# b/ N* Bend
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to go
3 ]+ q; c+ p+ \" q9 K9 u- Z ask turtles
/ G2 L& e" u$ ^ [ turn-towards-grain ]
; t4 Y, v1 b3 H harvest' K% l3 U* D8 Z
ask turtles
# r/ Q1 k! D# `4 n ?( y% P% I* `: a [ move-eat-age-die ]
) W% X; c$ H- b w7 a recolor-turtles
& I. Y3 f7 \& @9 u, | c/ q& h if ticks mod grain-growth-interval = 0, C* N# _+ ~; a* M2 U* S* h$ T
[ ask patches [ grow-grain ] ]
2 L# k0 O* u8 D- Q& K4 j
% {' g2 H, d9 _: P6 O/ A if ticks mod 11 = 0
% R9 u& @" f' q: A& [2 ] [ask turtles! D, Q. @8 L9 @; T _
[ redistribution ]]# V3 I4 D6 z- t8 F9 u R
if ticks mod 5 = 0
7 h: Z6 b6 Q. B0 j% }) G( [ [ask turtles
- R$ s1 a5 t6 V [ visions ]]
5 g" n Z' W, Z3 ^5 `* h6 w% \ tick. X- L$ y7 q* i1 m# K7 d+ _9 g( G
update-plots5 s4 X/ x* O4 m: k/ t
end
4 m" t0 f2 S3 w5 ~2 X" ~% {to visions
( N1 L! ^! I7 w9 S$ B9 h- A% ^ set vision vision + 1
" |4 i; u9 z9 }7 N6 f8 k( b, iend: i0 B1 ^$ w% _3 q3 j6 Z! p# Y- K ~
/ C- u3 b, ^" M8 K: j
( a( B& r# M/ i" q' A0 C
# Q' [) q6 a o v( ]2 q8 ?% t) Rto turn-towards-grain
" C, b$ ~0 b' ^, y8 _- ]% \ set heading 0+ w& a( f9 S% A4 U3 |3 V
let best-direction 0
3 o1 w1 b- L6 Q p+ o3 v let best-amount grain-ahead
9 M4 g- w+ N* r2 W6 h set heading 90
+ \$ J T3 L0 V' U5 w if (grain-ahead > best-amount)! w1 E% W7 }+ D( L
[ set best-direction 90. H- ]1 d" c8 Z Q1 G% T; b" { F
set best-amount grain-ahead ], o6 S( i# |0 j& d1 Z+ P
set heading 180
) G# s4 W) l# l; d. h if (grain-ahead > best-amount)
F$ V, I, e' }5 X& Q [ set best-direction 1806 u/ W+ u5 N0 w% r
set best-amount grain-ahead ]
3 B0 n3 s. G& \ a H U0 @+ O# G set heading 2701 g1 Z+ E( q' y$ b5 H3 }$ X3 a9 G
if (grain-ahead > best-amount)
2 B N! [! T& [$ D2 { [ set best-direction 270; P+ s# E, `% o2 ?5 @! _9 Q
set best-amount grain-ahead ]$ }& J0 k) Y1 u- [6 _ a0 ]- P
set heading best-direction
4 T, P$ n: s( s3 L6 q0 iend/ f1 s$ f7 `% T
/ u9 i' d+ W G
8 i+ k; D+ t9 q5 ito-report grain-ahead
( ^7 D+ G3 |5 _" ]0 T6 T* z let total 0
5 j& V* w1 e- t+ W" ^) J5 l let how-far 1! d6 o6 u+ y' X4 T# b/ }, o
repeat vision
& U9 a! J) [6 H( q I/ \8 F [ set total total + [grain-here] of patch-ahead how-far
# V1 ^! \; P: x; K5 _ set how-far how-far + 1 ]
2 D) t# a1 k0 V5 U1 \. ~5 {& F; Y report total
" w3 g; X# J7 `; hend1 i( a& e. _; A t4 |- f7 {
: L( s( z% u1 J- t2 h; u2 C7 R
to grow-grain
, i" |$ P0 h, w. i0 K% Q- i" R0 D8 T' e% n if (grain-here < max-grain-here)
: `2 u1 |0 B( ~$ k' e; j0 u [ set grain-here grain-here + num-grain-grown6 Y. N O. m" Y! q
if (grain-here > max-grain-here) : g7 d |$ x' J
[ set grain-here max-grain-here ]
" I/ l& e5 I% p, g* t recolor-patch ]
& u. V# W; v% Y. Y" V6 Cend' ~& X6 v2 @) d
to harvest7 T/ n' d* ]+ g
ask turtles5 [0 a, R+ Y3 P, A% F7 M- I/ w
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
o/ J ~6 h3 x ask turtles# q# l1 g( i% J8 i* J
[ set grain-here 04 [9 P/ ~0 V7 ?1 W
recolor-patch ]7 }4 ^8 o9 Z1 u3 B$ |/ ]
Q5 l S; b8 X( W5 p e, G
end" M8 g- s# o( W8 H# u0 M
1 i' P! L4 F |$ k" b8 e
to move-eat-age-die 1 c) s1 M+ h. V
fd 14 \+ o( P! I' `) @3 _2 s- u1 a
set wealth (wealth - metabolism)
9 ]1 P' J4 j- ]! ]% ^ set age (age + 1)
0 g' v/ ]! e O/ \ if (age >= life-expectancy)7 a1 O/ D" u3 x8 X( T
[ set-initial-turtle-vars-age ]: C4 @0 g1 I; |. n
if (wealth < 0)
, S" A% k, a4 F! A% {4 a! P [ set-initial-turtle-vars-wealth ]7 b& x5 ]; Z; y8 J' f) q; A
/ G9 K! l: s. Y' ~2 O( Yend: C! X4 F; k' P) ?0 z9 ]' B
4 T) c2 J: P/ [4 Y8 L; |( T) M( E$ z3 ^- M
to setup-plots; M- g Y# r: x) F, z
set-current-plot "Class Plot"
% c3 e: _3 f2 o l set-plot-y-range 0 num-people7 f! E) y# t6 z; P. b
set-current-plot "Class Histogram"5 y5 R- S, J" _" O3 p
set-plot-y-range 0 num-people& ^! \8 M7 V9 I" D& t+ {
end) d5 ?) ^2 {" c% d
, F( e& Y: t4 f' Z( x7 q
to update-plots
, P7 y% p2 T7 x: f. Z; D update-class-plot
5 j; q$ L1 } X0 C1 Z update-class-histogram
6 K% t5 [' R) s( A update-lorenz-and-gini-plots9 I" b3 o6 D7 G" j
end
3 v7 N. T7 c$ V: b$ n u7 O; O- ]* }' h. ~4 f/ F5 x: P
to update-class-plot
6 u6 e! D4 q5 c8 d set-current-plot "Class Plot"$ G9 r P+ M4 W* E. R
set-current-plot-pen "low"
' R) ?* p* v2 G2 p$ Z K+ \ plot count turtles with [color = red]
1 a, A, j: W7 M" h7 D: H% |" _2 B6 G set-current-plot-pen "mid"% h3 \4 `- f( Q: I3 }; q+ H
plot count turtles with [color = yellow]0 U+ }$ ^6 H# F- u6 O' f& {
set-current-plot-pen "up"
% W$ m/ V! _- P* e7 W plot count turtles with [color = green] y0 F2 t/ Y: L/ @/ h- d: E
end+ B! n) n; G0 w3 c( n
2 p+ P1 l7 b% Z8 \, d9 X
to update-class-histogram6 n3 n9 q6 @% o
set-current-plot "Class Histogram"8 P' O9 F& ]7 t' V- \/ p& w9 }# z
plot-pen-reset
- @7 Z* J& x6 D% F set-plot-pen-color red
$ A$ x& }5 o# A1 K+ n8 _2 T plot count turtles with [color = red]6 }9 t" o7 E$ j' n4 l
set-plot-pen-color yellow
# m& s. T6 H9 G* `) t$ {3 s plot count turtles with [color = yellow]& F0 B5 W$ A5 k/ z, E8 _ Y
set-plot-pen-color green1 l# e4 A8 S" }. f
plot count turtles with [color = green]! a; B% X+ ~+ P9 c* t; b* `" m
end6 D) q! Y( O+ f
to update-lorenz-and-gini-plots
) J3 ]- J# O1 U: H set-current-plot "Lorenz Curve"
5 a* M! o& Q T1 S) s clear-plot3 M0 C8 U* l( v9 L* A
5 U6 \/ ^: U! l9 A3 h
set-current-plot-pen "equal"% e, q0 z0 k8 X: f; l( L
plot 0
: s# n+ m' H( e. _. l4 x plot 1008 }( X& o6 f \/ u8 B
7 C9 O6 R& r5 L6 U! C' ~ set-current-plot-pen "lorenz"
% Y- C' z. Z! F: I set-plot-pen-interval 100 / num-people. |" F% ~' H7 o" v
plot 0
: J* o, P {- l" K- ~' N0 ]
9 L2 g) q+ W+ g. E) L+ V% ] let sorted-wealths sort [wealth] of turtles8 L: c' ]) c5 P( T6 p
let total-wealth sum sorted-wealths5 R! s+ R3 @8 Q, n7 U) S S( f' l
let wealth-sum-so-far 0
- r: t+ E* U( k/ g0 V3 ^ let index 0- n5 t0 z' |+ c6 e" D! S4 h
let gini-index-reserve 09 R$ {# l4 |2 V% I- j; T ?! K9 h# {
1 P1 H. R( a' S, T0 Y
repeat num-people [3 h. N6 l* q5 i* q7 [
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)* h" |7 k7 y, V7 x1 v
plot (wealth-sum-so-far / total-wealth) * 100
k" d0 T1 Z, ~9 ~! ^ set index (index + 1)
; m- Z9 C9 M6 F3 H. o set gini-index-reserve# ~' v" I% O! ?& S* ^
gini-index-reserve +( ]- M5 ?/ V) Q
(index / num-people) -
8 ^2 t. {1 U1 `2 b1 r1 G4 V (wealth-sum-so-far / total-wealth)
8 G3 P$ K: f7 w# Q; ? ]
* e/ {+ U1 ]7 S2 n9 C3 i- |
0 X0 t9 K" a0 P% q* y- a: h set-current-plot "Gini-Index v. Time"
6 k& ?9 K5 I# l' H plot (gini-index-reserve / num-people) / area-of-equality-triangle u% d7 K' y9 R- n& |0 y- c
end( }; O) t+ d5 M. B% w. y
to-report area-of-equality-triangle, [ a8 F, M6 _9 a9 z# |
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
, c9 V9 d3 B, h& L9 }4 Eend |