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
. u0 s Z, P2 W8 l; xglobals
& k+ Q9 x7 v* E/ @% Z[
9 S" g! i7 B9 k- B' A9 c max-grain ' Q/ ^6 l# O E* t. Q1 k
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]
+ f2 N3 G( F( V l8 T& C6 F' ?- n# c* W# Y+ q$ Q
patches-own
, f+ C* J2 Z7 E8 X- v[
! Y ^5 S! f$ \2 F$ Z B" i6 g( a grain-here
6 ?; z* r( \7 G) R2 P x7 P max-grain-here
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l) q7 ^# L& h! j6 f+ T. J7 Q( W9 B1 n, _% P. n
turtles-own0 M% h+ J' Q3 ?: l8 \1 z F9 p
[
- i% {0 _+ ~' l! N* k7 L7 ^ age - b9 m8 g" c1 e1 z7 M, z3 ]
wealth ( | D+ N- W) K3 E+ Q/ x
life-expectancy 4 P$ w: k9 r4 J/ s
metabolism
7 e* c2 J+ f5 [7 r: w# J vision N0 n! C r [9 a
inherited
0 r9 L, C; q& B' t2 h% ?8 ^]- @4 T: z e! }& s
8 ]. w- H% F7 k; i2 F
9 Z6 a# o( C) e( H: f @, N' zto setup
9 Y! d0 P: |: g9 D7 s N0 `6 l ca
( _) z0 s+ |5 H q& [ set max-grain 504 [2 c6 |# c/ ?: _8 D2 ^- Y
setup-patches
/ I# E5 Y6 ^# S8 v setup-turtles, f; a0 I {5 g' \! V
setup-plots
; l: K5 X; t' H update-plots
/ S/ ^7 Z# N: M7 c* a' h" u5 oend
# G) w1 t- |, X, ^to setup-patches
, n* k. Q# n, c; ], B4 H3 L% k ask patches1 l" }% b" d' @( g! N* S. g. `
[ set max-grain-here 0
/ v x; I, I; P7 D4 x. w if (random-float 100.0) <= percent-best-land/ R& Z5 [) F# ]3 F
[ set max-grain-here max-grain3 p( J+ M: X6 _6 e, ]( T% j+ O
set grain-here max-grain-here ] ]2 K p; m5 U# D! X' a4 S) E" H
repeat 5. @+ {0 [3 k- |4 j& o0 s9 P
[ ask patches with [max-grain-here != 0], _7 S8 o3 r2 z& d e2 R. l; E
[ set grain-here max-grain-here ]
+ H: b4 U) J1 {6 C diffuse grain-here 0.5 ]" T5 |/ l- q2 J* Q
repeat 109 L: n+ z! `5 z% L! I
[ diffuse grain-here 0.5]
: x5 _) S+ J! h( f* t6 M ask patches4 k" [8 @, k" O
[ set grain-here floor grain-here 8 ?- p t# S% m. J1 @8 j
set max-grain-here grain-here
- j1 O; |/ S0 \7 ^; W4 f3 {4 w; O t recolor-patch ]
* p# |9 A5 w4 Y4 V/ gend' c7 P6 M4 F+ q
to recolor-patch ; ~5 c" i* T% j5 v& b
set pcolor scale-color sky grain-here 0 max-grain9 p: x; f+ A5 E/ g
end1 ~# z/ `+ C5 V4 D1 U
to setup-turtles% [7 R" Z$ J0 d% a2 H( i
set-default-shape turtles "person". v& k6 U% Z, O
crt num-people7 ~. p. ^9 p6 ~) n% ?, f; o
[ move-to one-of patches
* E* ?1 `5 ]1 `: Z set size 1.5
p% l' x. A. e+ Z) C set-initial-turtle-vars-age
N* k2 Y5 n# l& ~" A4 M set-initial-turtle-vars-wealth0 M( m8 \. m6 t* t8 k
set age random life-expectancy ]
1 V, y5 O9 V8 H recolor-turtles0 A0 I& ~# Z9 w1 a# g( z
end, |& a6 F+ C. j1 `( R1 E
1 z0 a; d, H3 G# j$ M
to set-initial-turtle-vars-age9 r" l) p+ g9 X- G- u4 [! j: _9 o
let max-wealth max [wealth] of turtles9 H2 r0 N" V. @
/ o: d8 ~0 w( X ~1 z# F4 p1 S ifelse (wealth <= max-wealth / 3)
" _4 A/ c2 r( j0 }$ ?5 L [ set color red
~. w. M- Z: S+ G0 | set age 0
) g, K" i: [3 P3 a: z' e$ e" s face one-of neighbors4 - | Q: E: O" W( b8 L+ D; H s
set life-expectancy life-expectancy-min + ~" ^# f r) }% F
random life-expectancy-max
6 G, ]6 u1 t0 n& _ set metabolism random 1 + metabolism-low- |. ^: x- U. y
set wealth metabolism + random 30
9 a# T1 I" S& ^& Q$ h5 w set vision 1 + random max-vision
( g! ?+ N6 C8 c* P! i set wealth wealth + Wealth-inherited-low ]0 b7 r, B* w) X4 R
[ ifelse (wealth <= (max-wealth * 2 / 3)). C0 E( D: ]5 x" o ?! z# ~6 u( ]
[ set color yellow 7 `9 y$ S: i- I/ y) a) M
set age 0
' s7 h7 W* Z8 K0 i I, b face one-of neighbors4 7 O, G' n# e7 K2 F9 {4 P
set life-expectancy life-expectancy-min +
& Q6 }" J* C4 e. F6 S4 A random life-expectancy-max + 1
" w# r1 P) S# S: @+ N) X* U. N set metabolism 1 + random metabolism-mid
1 b6 p+ o* I; y# p: O set wealth metabolism + random 30+ F/ q: d- O) N
set vision 3 + random max-vision e m: s! Y* J
set wealth wealth + Wealth-inherited-mid]
2 ?" X5 ?7 a X2 n [ set color green
/ [+ a7 G5 {3 K* s ]1 v3 {8 D9 c set age 0- `7 h' C; a7 u2 Y7 L" s
face one-of neighbors4 : x5 n3 S i) i5 [
set life-expectancy life-expectancy-min +
7 s) N3 k2 v0 u/ Y1 O random life-expectancy-max + 2
# m7 i+ P! Q9 _ set metabolism 2 + random metabolism-up
; f- U' M! k4 Y5 g/ Z8 _ set wealth metabolism + random 30
: N4 O: ]2 b7 E set vision 3 + random max-vision
- H6 u) L8 d8 a9 X8 r6 h! C set wealth wealth + Wealth-inherited-up ] ]
7 j+ m# z- j3 q) t- ]. t+ d+ W) d
$ {4 f, T& }$ H8 D1 Q5 `2 y( G2 }end
( I- @" ^4 X- s/ k* rto set-initial-turtle-vars-wealth) [+ I( l" p+ T( K( [
let max-wealth max [wealth] of turtles
* n' G. h8 ~/ _. [; L# g set age 0
r K* h, w/ U face one-of neighbors4 . a% H# t; ~% Z* d" d& _2 h5 |
set life-expectancy life-expectancy-min +; A9 S( x! t* I; W' e
random life-expectancy-max ) X; |1 F1 c9 {- H( W: Q+ q
set metabolism 1 + random metabolism-up
6 Q5 m0 R3 |' p* j0 G) D1 E+ o/ s set wealth metabolism + random 301 h5 g1 J8 a" H" F* v
set vision 1 + random max-vision 0 x; s; t# ~9 a8 ?0 p
end
! n# P* H) s6 K* Q {) tto redistribution
2 T. E" d* p0 }0 ]6 clet max-wealth max [wealth] of turtles" d3 J: T t7 H; V& h
let min-wealth min [wealth] of turtles
; b2 ~ X9 i2 Q4 {if (wealth <= max-wealth / 3)& Q, B+ e+ b0 P5 u# k
[set wealth wealth + Low-income-protection ]- g8 `7 V. E4 u7 j
end
3 \# Z( P/ w6 t G0 _! O) X) i
. P; f1 e0 u! n1 u9 e0 j: ^to recolor-turtles
2 H% q8 E4 y7 o3 U/ y% X9 ~- N let max-wealth max [wealth] of turtles
. E$ j4 O- A0 i! b ask turtles
4 B4 T- L: p$ C* C y [ ifelse (wealth <= max-wealth / 3)
/ Q2 @. p6 B: q; A4 _. a [ set color red ]
% I2 D- ?% k6 D+ j6 z [ ifelse (wealth <= (max-wealth * 2 / 3))
* g b1 I0 y" s [ set color yellow ]
8 x V; {$ M3 q4 v/ x0 j. T5 N [ set color green ] ] ]
" o7 ~3 D* i- e$ ~ ask turtles [ifelse show-wealth?
2 I5 ~; q, `$ @ u0 d) f' M$ _# G- p [ set label wealth ]
( C: w6 q$ h& w3 F2 ?- Q [ set label "" ]]) A6 T3 ?* W$ ?
end
5 e) N( V/ \) ^# t# j" \0 w. a2 y, d: D" R3 A, K- a* Y. G0 y* g
to go
, U1 M2 O0 r6 S, G/ Q8 N% k ask turtles0 T+ q) a1 r6 T. q3 C
[ turn-towards-grain ] 5 Y4 r/ S; D2 H9 Y$ N8 h
harvest
1 s$ T2 r0 H; u& L0 [6 I& o ask turtles
9 L$ k6 I& {+ H0 y- w; V" d [ move-eat-age-die ]5 F" J; r) o! Q8 p' ?
recolor-turtles$ | Q8 G* @4 ~9 ~3 p1 W2 k
if ticks mod grain-growth-interval = 0
) d2 m) v; K0 L1 ?/ m [ ask patches [ grow-grain ] ]( Z, H; R* j. W9 \* E6 c
8 D2 q3 C7 i" O
if ticks mod 11 = 0; ]. {, s$ c+ S) d9 j7 t
[ask turtles
$ Y& ^( M8 T, c' l2 [ [ redistribution ]]
6 A5 f1 i* Y# C) B, r: E3 z2 k8 N if ticks mod 5 = 0
5 n6 L# J; I5 L' D: I [ask turtles+ e1 m4 k$ R. C, j* ?
[ visions ]]/ }. H9 v6 y2 c, q. |
tick
: Z6 \% h6 T% p update-plots% z3 {' s, i* l* ]/ e) y1 l6 E
end0 k$ ~3 ?$ }( L/ g" q8 B) k
to visions
: ]& t8 Y1 ^" j( {2 g set vision vision + 1
. ` k3 B0 j t5 Eend ], q& [0 Y2 H7 y( z* ?
; h% ^2 I* S( ?5 O1 {& H
* T1 v8 T& _9 A. r9 N# `$ V
/ z, T' c( D# G% Sto turn-towards-grain 0 r1 `4 X% K6 t# J
set heading 09 a' e$ E3 z3 q9 j* j
let best-direction 05 G4 N( p$ C- ~6 H, R6 e
let best-amount grain-ahead
) Y3 i( p3 J7 K9 n a set heading 90. e; i" M: S& | r# Q( o7 L1 [
if (grain-ahead > best-amount)0 {+ L U3 v6 U" `/ F4 Z
[ set best-direction 90
c5 s* b6 P" f' f2 M set best-amount grain-ahead ]4 l. _( X! c8 v6 l# G
set heading 180/ U: a' V, @. n" B9 p( I
if (grain-ahead > best-amount)( [1 j6 A3 S6 @0 X) D
[ set best-direction 180
% ~9 x- P; f+ x set best-amount grain-ahead ]2 p9 y) t. w5 |5 B- \6 t( o
set heading 270
" e# H7 p9 D/ @ ~% ?+ ]9 U if (grain-ahead > best-amount)0 a* j6 i1 r b x( d
[ set best-direction 270
3 e& m, ?5 ^/ u' C set best-amount grain-ahead ]
8 s4 y1 x6 I: a& M set heading best-direction
% f/ d! \+ ]) q( P8 i0 cend
& G! ]) p5 k( ^( n+ J1 M; t1 G, D$ @0 c
% u4 E9 ^ W% g7 [8 V( x
to-report grain-ahead " F9 a) H/ N# F
let total 0
" [, t5 d' m( q3 z let how-far 1
4 V1 x; e+ }" F4 f3 Z repeat vision- M" P L/ f( u& [0 R
[ set total total + [grain-here] of patch-ahead how-far n. \) [. W5 `% w& a
set how-far how-far + 1 ]
( ]$ t) R, t5 G2 r" i report total( ]/ N6 R$ ] B
end2 u7 z2 v! Z5 }0 t' W
0 \, s- t) z/ I( s8 h/ E1 N- qto grow-grain
( b& }% b* n- T if (grain-here < max-grain-here)1 n3 v/ b% K2 y; ~& w6 U+ O$ b
[ set grain-here grain-here + num-grain-grown# P+ E# |3 b5 {/ Z ]' e1 b/ n) |
if (grain-here > max-grain-here) ; d1 f8 J+ \( Q+ S
[ set grain-here max-grain-here ]
! r/ c& Q0 ~: | N: u( t recolor-patch ]" r( U4 i" E/ K' x
end
7 k* p! I, _4 q, O: E3 Ato harvest+ z/ S b4 r1 M2 B" }6 ~: w
ask turtles C W: Q/ x$ y
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]8 x# X4 r' y v2 z0 }& g" y2 K
ask turtles
! u9 R5 K; _+ X [ set grain-here 0
+ ]/ K/ C9 K1 N3 @5 v, T. C0 K) B recolor-patch ]
5 M7 @0 l5 ^& }! N, t* v Z
' h6 s- V0 A E" ~' I. q9 [7 f5 Oend; _0 @1 V f. X9 v6 S# q& [) k; _$ j
8 a2 M7 _. t9 y) g" Pto move-eat-age-die ' [2 W/ s( A; r& q" r' `
fd 1
3 V+ m& S: O4 X1 ^6 |- @2 R set wealth (wealth - metabolism)
4 ~) X: J8 H L% g* A. I1 L5 d set age (age + 1), ^9 a! C& [& \0 W
if (age >= life-expectancy)
. V) M) s+ W& G; e" [- w [ set-initial-turtle-vars-age ]4 ^' G$ p& O7 a1 k
if (wealth < 0)
6 K7 ?- O4 n4 y$ s/ d; j [ set-initial-turtle-vars-wealth ]
6 y* ^1 x) R' z1 O
* i8 n9 W" N5 q% q+ }( F3 ~end
. ]2 G9 }. T E w6 a) ^) W y" u! M9 Q% l
7 Z9 [6 q$ O$ F6 f8 y z1 }. Wto setup-plots
) a' w0 \7 U8 w/ b! x* M5 m& E set-current-plot "Class Plot"# B) \9 c/ U2 C" x5 R
set-plot-y-range 0 num-people$ L/ U* ?5 k6 j% l+ ^
set-current-plot "Class Histogram"
# f4 `+ p$ C% I6 w set-plot-y-range 0 num-people
# W- @( o n+ ~end* _% Q- Z. c( @
) w I5 N2 l7 B9 t9 `* T+ Nto update-plots
; k, U4 s( d; d$ {- J* b+ [3 ? update-class-plot, e( G' @8 m4 ?
update-class-histogram6 ~" b+ ^ d6 Q w. O U, B
update-lorenz-and-gini-plots
/ ~. _9 k+ Y4 H/ W. G0 e, Qend
- k1 [6 i) E8 q' ?' u1 \2 O0 x4 K2 J' v' T$ K& p1 N( o' b
to update-class-plot
1 ^0 Z# L9 X- c3 }) @: j: B9 L set-current-plot "Class Plot"
7 a3 k# o: w2 Z" R( C set-current-plot-pen "low"
* \3 e, f5 L0 }7 u9 W plot count turtles with [color = red]
/ g, M1 I0 S5 c7 ` [2 J$ K set-current-plot-pen "mid"
4 f% \0 O+ N; ?/ D' l) A) A plot count turtles with [color = yellow]
# N) g3 ?: [; q5 n6 N; G set-current-plot-pen "up"
% d0 g4 i; |, u plot count turtles with [color = green]
6 `9 M2 S' N" n# T; xend
/ R% K# ^0 g9 ^" G8 s0 \
# g, q" A6 B4 y: s+ _to update-class-histogram
/ X4 m( X# p( C set-current-plot "Class Histogram"! |/ f: h' P' Y* f
plot-pen-reset. h, P) N; k% \
set-plot-pen-color red+ K! d3 T0 d- `9 e2 C6 P5 ?" `
plot count turtles with [color = red]
) e# C) t% y2 }1 L. q3 `: ~/ K set-plot-pen-color yellow3 e0 n# \7 ]. p$ [( r* p0 V
plot count turtles with [color = yellow]
1 b! d: B ?. i" L& u set-plot-pen-color green
/ u4 W' _. s$ K9 x+ a plot count turtles with [color = green]
0 z# k+ K. F" ]3 b6 ]end
; b- o2 G3 D8 n& F- y$ Oto update-lorenz-and-gini-plots
; l4 x2 f7 X2 G* b! l* ~1 u set-current-plot "Lorenz Curve"; F( N4 ^* D3 k, [, Q: l9 b0 {" _9 Q3 S
clear-plot6 q: h2 @8 I$ ~8 q B* E8 ^7 K
. p9 C) T$ F" s
set-current-plot-pen "equal"& @3 P8 g) J5 ~; {) i& X
plot 0, C) w6 v, A% |0 g
plot 100
: F: z U) N+ S+ r/ r5 ?! U" |$ J' i5 W1 g6 q8 H
set-current-plot-pen "lorenz"0 k7 x: F$ N4 F; R- l
set-plot-pen-interval 100 / num-people5 q9 ]+ q3 S" d1 _. w
plot 0- k) g- F/ J" X+ v* {1 j5 W- V
5 q# n+ ]* D2 q( b4 M9 T, `1 e0 K let sorted-wealths sort [wealth] of turtles0 h1 y* |/ n, Y% w
let total-wealth sum sorted-wealths
8 ^9 _ f- s3 {- ?" e let wealth-sum-so-far 0
' }2 q9 t! v7 K) k, R5 X3 Q' h let index 0/ a' L, a+ @& ~8 O
let gini-index-reserve 0( K+ V4 d+ X' U. M* O9 L
5 ~; `4 }: W) ] repeat num-people [1 H6 V1 b3 t. Z9 W
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
: o9 C T0 j7 U: z' { plot (wealth-sum-so-far / total-wealth) * 100* j% t; D8 g4 ?
set index (index + 1)
7 A/ `6 i$ x% `3 I# L+ Q set gini-index-reserve8 b+ i' Q" o- O* n
gini-index-reserve +. p5 s+ Z; a- s' g5 E0 F: N
(index / num-people) -# H- i6 j( b8 y. P) |
(wealth-sum-so-far / total-wealth)
4 O4 c9 x u; j' P ]6 y5 V$ D9 o i/ D) j: B4 Q. m V
9 l8 d& |) ?" Q. E
set-current-plot "Gini-Index v. Time"4 e1 K8 w& e/ N9 D6 k
plot (gini-index-reserve / num-people) / area-of-equality-triangle( O' F/ T' @: g7 o- ^! O0 w
end; c8 k, u6 F- C# ?9 a# {# L
to-report area-of-equality-triangle
, E6 L9 c/ J: W& }, B: `# h& z7 Y report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
& h9 `0 M G b! _0 \$ C0 X+ ^/ Dend |