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2 S9 }3 M$ x3 ]% j l1 b3 j1 Q9 X& f
globals
8 V O Z* I5 e" \* T$ h% B[
8 s2 D* {3 E3 `9 U3 t: ~ max-grain
5 V! J0 `) Z& ^; @- E
$ m; e1 b4 M" y% g& F+ W]
: a. I* {! _. C* g6 x) {& W, [% H7 Y9 {; H$ C; \% E% |
patches-own4 q5 W2 ]& W/ p& {$ ]) u. P
[
& b- b, v0 Z. s6 i# {& x( x' Z, r grain-here
! L3 @- i" J" e$ Q9 l max-grain-here
. I+ C# b$ s% n6 p4 ^' r1 Q/ `]4 S5 a. F; \/ D ]" g
z! ?: i+ O4 a, }5 P' e' }
turtles-own8 W0 k! T+ D( y" ^
[
! Y6 B2 s; l- u6 b5 ? age 3 }( T p2 d9 ~9 w/ Z: A
wealth
5 i& y0 U* j- m% {: O life-expectancy a$ p' `% d' F6 @: B: ^! W
metabolism 9 ]# [. X2 b4 W$ r" u$ d& V/ z
vision" L3 W6 d( N* O
inherited 7 P, |+ P4 ^* b) a m0 _
]
+ T5 ?0 u' q/ r: o; V! i( l/ ~* H+ `7 O8 f9 r F
# r% v1 C6 J7 T- Fto setup
' ^5 E6 _3 o& [% Q ca: t# L( X" N# K: p7 a
set max-grain 50
) z s$ P0 w# @# v( o! b setup-patches
/ V ^, r2 W; m% H4 J- ~3 V setup-turtles# y9 c, g7 c5 B/ q. ~2 |
setup-plots- B1 P2 @/ v; \5 P+ ~
update-plots6 X. b& O* {8 C8 j+ C% S
end7 u k/ [. M; s$ d9 D
to setup-patches+ p& e" F- ]! N9 n6 X: d8 e( l
ask patches
3 q% K0 T/ w2 [9 | [ set max-grain-here 0' K' R2 [2 Y9 M5 C( o6 |
if (random-float 100.0) <= percent-best-land
2 w" f# o% f( b2 o6 V [ set max-grain-here max-grain
2 {9 |3 Y: r+ T/ S5 T$ l w set grain-here max-grain-here ] ]: I8 d0 k" D' }' G! R, R4 i. F
repeat 5$ p" r/ a4 d2 j0 F8 v9 ^
[ ask patches with [max-grain-here != 0]
/ @9 P" N/ d8 A [ set grain-here max-grain-here ]" T# d0 v; G, ?4 ~& C
diffuse grain-here 0.5 ], E. f/ [* i$ L. a- x
repeat 10
5 s/ F3 `& f$ x, A% A [ diffuse grain-here 0.5]
|; |( {" ^ j S/ S ask patches: \8 A. M! y, w8 V$ g
[ set grain-here floor grain-here ' N4 m" }% u* o. n' Y- u, S0 `0 T: `
set max-grain-here grain-here
7 O" O- C% l2 f- k" `8 S recolor-patch ]9 o7 ?. N( A* }5 ?- I/ o1 @4 u
end& d6 u$ O: Q: f7 N6 [( B+ G
to recolor-patch
2 U" |: Y! R) N: O$ z1 G) ]' B set pcolor scale-color sky grain-here 0 max-grain+ w0 `7 E; B" p3 {: G' M: N& Y
end% G9 I8 m: h0 ?5 }
to setup-turtles
. W9 ?. a- R6 w set-default-shape turtles "person") w9 o1 U: ^' t C0 E& P
crt num-people4 o3 i9 `7 w( O0 w$ t5 @
[ move-to one-of patches 3 f2 `6 }" L' S* q+ x: E
set size 1.5 % e# G/ L: m6 m9 @% x3 q
set-initial-turtle-vars-age
4 B5 i0 {- W' i8 ` set-initial-turtle-vars-wealth2 P3 g0 C) U: y5 ^0 s2 Q1 ^- Q4 q& G
set age random life-expectancy ]4 U) d) |' l- [2 B$ \, k
recolor-turtles; G4 N6 X+ U1 W& R9 V: z( ]2 \
end0 s' I4 ^* |+ N- D7 p n5 T, j
: \ b6 Y, g$ [" `+ Y3 w+ Hto set-initial-turtle-vars-age
# H/ s9 O3 c+ H let max-wealth max [wealth] of turtles
0 o, K6 u# L' Q9 H, Y
6 J o" m: {% w ifelse (wealth <= max-wealth / 3)& {' }" }% @5 B& T& ^
[ set color red / u. L- }; |6 L) _8 a* ]
set age 0
1 d$ _6 U$ F7 l) [0 M face one-of neighbors4
4 c( X- E8 t! V% G1 |0 b set life-expectancy life-expectancy-min +
) ~ d: A' q& S3 V) P( c. m0 I random life-expectancy-max $ {& e( v4 Z, N3 G& f
set metabolism random 1 + metabolism-low
$ u6 V) A* X9 { set wealth metabolism + random 305 |/ l% t9 [! e/ b4 s' N8 N
set vision 1 + random max-vision
, }8 s% v2 T7 B set wealth wealth + Wealth-inherited-low ]; t( t7 W1 n5 W2 O; [: M5 O
[ ifelse (wealth <= (max-wealth * 2 / 3))
# Y3 W3 P- W- c! F1 O7 g x [ set color yellow
/ i, n# V; K; g4 ] set age 0; {7 [! ~3 P: H- c! c% w$ C# v- s: t
face one-of neighbors4 . p6 W; s8 y% u
set life-expectancy life-expectancy-min +( p6 Q9 z& q+ @, _/ |
random life-expectancy-max + 1
8 r# V; G% J& [0 T# f set metabolism 1 + random metabolism-mid
, R2 w& c6 w0 N" D# u set wealth metabolism + random 30
: ]+ [4 n& f y7 s' y, | set vision 3 + random max-vision3 ~. R3 R4 v3 o
set wealth wealth + Wealth-inherited-mid]; \1 O8 ?3 c/ R0 v3 _1 x+ n
[ set color green % {0 l* i+ s: B! p" b& K/ S: b
set age 0' p. o4 Z% R. D# ^& O$ o: I9 y8 r
face one-of neighbors4
! D) f3 }& ]0 R3 | set life-expectancy life-expectancy-min +, V3 E4 D1 I) b5 c3 F/ N
random life-expectancy-max + 2. }! H% p% ?0 U( a; N4 j2 T: G
set metabolism 2 + random metabolism-up0 R8 g5 t) g. j0 p* w1 G4 N
set wealth metabolism + random 30
0 f, W1 E s# d set vision 3 + random max-vision$ f# r1 h# h- G% S) b8 d
set wealth wealth + Wealth-inherited-up ] ] 6 [. U* W( E# |! R! P
2 Z. {- Y$ g/ c& a- ~5 x
end
& Y, ]2 c% M. J' m6 W& eto set-initial-turtle-vars-wealth
0 _" D5 W5 h" F8 c9 Q2 C' V let max-wealth max [wealth] of turtles5 d/ c6 i k& x
set age 0
' U( ]) W5 w( X! J; y- O/ L face one-of neighbors4 * u& d* G: g5 ~' A' d7 R4 s2 i
set life-expectancy life-expectancy-min +
" ]) \0 ^1 z* X! K4 R! ] random life-expectancy-max _& Z# R( J8 s6 H
set metabolism 1 + random metabolism-up
; J( ` D/ T) t. d& h set wealth metabolism + random 30" \1 _0 v$ r+ T1 J
set vision 1 + random max-vision 7 s! s" k: t0 ]7 }
end) I1 I, ~ ], C% K6 K* Y( V0 s
to redistribution
! A- R7 w! g5 Tlet max-wealth max [wealth] of turtles0 L/ K. c& [4 b( z
let min-wealth min [wealth] of turtles5 q. @4 h( r+ V' n
if (wealth <= max-wealth / 3)! t5 ?% H, g( o; Y
[set wealth wealth + Low-income-protection ]
+ l& O% T w) j# f! Y* jend- |1 y/ j% R O7 E @. W7 P$ u8 ?
$ A1 b5 B- s, r) {' g, dto recolor-turtles: ?9 U( x4 \" s! i F
let max-wealth max [wealth] of turtles
8 A6 u2 F2 ^2 C8 H ~6 ~ ask turtles0 Z- Q a' l! K' N4 r" {% X
[ ifelse (wealth <= max-wealth / 3)% I8 m$ E# ^2 Z" V6 E2 O
[ set color red ]
. J: i5 J9 B J [ ifelse (wealth <= (max-wealth * 2 / 3))- T: [4 ?& V# o4 E1 O
[ set color yellow ]$ T/ D3 c% Z1 h
[ set color green ] ] ]
& C1 z o+ m: y& L% R. V- U; f ask turtles [ifelse show-wealth?
! t; a6 u( m, `# r, R3 n$ s [ set label wealth ]4 i" }: N; f* A F
[ set label "" ]] J6 [) P2 V7 E6 L( S2 L( c- @
end
" A) R5 Z% v, k r1 |
- u# O$ h, f) C0 ~to go
' Q& g# i" N. W8 v8 m Z ask turtles/ s% Z9 G& L4 @" y) S( c) [, g
[ turn-towards-grain ]
8 T1 q6 Q5 u$ p4 D) g' X. L harvest
$ [* {4 W2 [) m0 f8 D/ l" [ ask turtles
. h6 Z+ k p) n3 c [ move-eat-age-die ]/ `" L3 a, x& q6 Q: T) F
recolor-turtles
6 d; Q! D$ U$ |( C if ticks mod grain-growth-interval = 0& H8 [; e' M7 p2 ~2 ]: @4 [% `
[ ask patches [ grow-grain ] ]
2 [9 w- f/ B& W1 I2 R6 M9 m9 K
/ N; f7 o. o5 M if ticks mod 11 = 0
# t4 ^5 d/ p# j" Q6 O6 I# D1 R [ask turtles0 s/ i9 W1 A) t1 ^' p. M
[ redistribution ]]
5 }# X. E" ~7 L" n, U C if ticks mod 5 = 0% I4 `1 w1 X2 c1 e7 e5 O1 X
[ask turtles
# t% ]" X& F, J7 G& M- @ [ visions ]]
8 |1 y$ ]( p$ M; {* p% A+ E% n tick
! i$ D+ z4 H! t5 z& i update-plots
6 e$ C- E' Q" z lend
3 C* g3 [! j$ l% z `, E5 L- C0 S0 ?to visions/ ^% {8 M" L5 Y# v
set vision vision + 1 ) G6 W7 I6 d2 @
end# v$ |7 l& y$ |, F% L- p+ e T
$ ^/ L1 a) p8 U+ B1 b/ _
7 S- n, E$ z! Y9 l+ U7 C1 \6 ~' I
- O3 P+ I( r- I1 P! Zto turn-towards-grain
$ J% g. _8 W; C5 F7 g set heading 0( s5 R6 J3 L5 A# U' i" G+ E* N
let best-direction 0' c& L4 |2 G# g1 f
let best-amount grain-ahead2 V. k) \, j2 i" f0 i/ f
set heading 90
% ^* H5 D; v5 z& l# H! u if (grain-ahead > best-amount)5 a# C0 {; u' Y. d" }+ g
[ set best-direction 90- I% G$ E$ I. o2 |3 v" D
set best-amount grain-ahead ]
6 H- q8 A$ @. J set heading 180# `. }, C1 u' g( m
if (grain-ahead > best-amount)$ _$ G7 z1 o7 w0 w l
[ set best-direction 180, P. g8 |- g) z/ f
set best-amount grain-ahead ]5 s3 W1 W j8 i6 j0 }8 o; L
set heading 270
; L& T* L, ~6 r$ k |$ q3 V if (grain-ahead > best-amount) t( F0 D5 P: M8 T, J& L; L. r0 S
[ set best-direction 270
- v% p$ Z0 S3 ?6 h" s6 \ set best-amount grain-ahead ]
- B, h: c( Z: D set heading best-direction& D, L* [6 d2 b) g& C* V
end
+ P2 z4 r9 v+ H. W/ E, d/ Y8 J4 u2 I0 y4 C7 H ]1 C5 h
8 r6 w7 f% x9 n' d9 ^1 f8 Pto-report grain-ahead ; H3 L5 a$ n8 r
let total 0* Y" V2 F/ c3 p4 x
let how-far 12 d" t* B1 Y( s5 C/ ]/ I4 ]: a
repeat vision) D7 W8 ?- |' p. N& M! e
[ set total total + [grain-here] of patch-ahead how-far0 S' m7 k2 h9 Z F) W9 C* m2 _6 K
set how-far how-far + 1 ]
+ o: r' a {. p report total' p; O3 Y4 j2 Q7 Z- z6 u3 ?
end
5 Q3 F+ p. W2 D& O, q
( m. {5 J5 e- ]' ~. Jto grow-grain 3 `- T( q! h" e4 K/ m7 l
if (grain-here < max-grain-here)
. F+ `2 Y' s" L, O [ set grain-here grain-here + num-grain-grown
9 _: ]+ f, M" y: m1 r7 ~4 ] if (grain-here > max-grain-here)
5 ~( T+ t Z* Q# S* g% d2 ] [ set grain-here max-grain-here ]! V, n; @2 b6 x$ T" M9 A5 O8 t
recolor-patch ]" L) ~$ x0 M; r7 S# u$ y" N
end
* G( ?3 C4 V: h6 A. i, x* V# {to harvest
) ]/ y: j, E3 r! n: \6 _: U ask turtles
: e1 k/ |+ Z5 | n- i5 N3 Q [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]$ D" H: R2 \8 k j! I4 C8 e- ^
ask turtles3 j c' D/ e" L3 m7 a
[ set grain-here 04 A1 \ V# s P/ U3 H3 s$ |- a
recolor-patch ]/ E9 U3 S* `6 i ]3 r
5 t& F: m5 t1 \ K
end: f" H8 L& c P" m, s% H
7 }: I! e H( H+ ~0 A5 {
to move-eat-age-die ' W; X5 v A( n/ o- F
fd 1: A3 g/ d7 X9 F, l; J
set wealth (wealth - metabolism)
' Y3 i' ]& V0 O" s0 n" `0 o set age (age + 1)! n" S! R2 @: a8 z2 o
if (age >= life-expectancy)7 W/ v) z- S7 b0 ]) G' A
[ set-initial-turtle-vars-age ]
9 `8 Q) k. B! |$ O0 a& P if (wealth < 0)
0 _+ h" t$ W8 a7 n4 r' }4 V [ set-initial-turtle-vars-wealth ]: M) Y y( J" y1 B4 }! D9 J! d
9 C2 `) A0 I* L( G9 ?
end0 T+ c' H6 p, T, ^
" ]% q7 v2 N+ N' l8 _- ^1 g2 z) q8 l
to setup-plots+ o+ z! T6 F9 I6 s4 `! l$ W
set-current-plot "Class Plot"
7 m, \$ J2 e# P3 c# P2 X set-plot-y-range 0 num-people
+ S6 \2 L3 m4 t# z set-current-plot "Class Histogram"
$ s! j Q+ a! \( o! f0 Y$ X( e set-plot-y-range 0 num-people
: U& A' ~+ Z/ g$ Lend
+ [, |% K# {! r3 W( L& ]: z8 j- c+ b
to update-plots
. s8 X7 F- r8 I; S$ o9 b3 h7 t& L# l update-class-plot8 X; R% M% s( y+ [9 A0 j
update-class-histogram$ h6 u5 z& O1 w+ h2 M( a" O
update-lorenz-and-gini-plots, X! Q G) M/ l7 B9 A# U. \. u P
end A! U' I/ k0 t5 n9 C
7 D) [) A# s# L& L$ S/ m5 d
to update-class-plot4 D4 S' L) b. j. {% `" P1 Q
set-current-plot "Class Plot"/ u% ]) P5 e8 o# M) N8 A6 d
set-current-plot-pen "low"; h9 W; z9 B& I% t
plot count turtles with [color = red]
/ y- c5 h: V; ^6 s# v set-current-plot-pen "mid"
1 T# W' ^' \" N plot count turtles with [color = yellow]
1 l: [& B6 { p9 r/ i% H0 D* e set-current-plot-pen "up"
. ^4 n! }7 ^* a; d4 \& q3 {: ~ plot count turtles with [color = green]- s7 {0 a1 J- s( Y& ?! G1 c
end
' I! G8 @5 n- [1 s
! h- a0 u1 D/ v& K/ n8 K( Eto update-class-histogram
, h& P4 I& d; H. q set-current-plot "Class Histogram"0 E6 M5 ?4 v1 j! W
plot-pen-reset
% W! d( w: q E, @ set-plot-pen-color red7 }& w0 \/ \4 i% n7 O! Q' F
plot count turtles with [color = red]- ]4 g% a0 H7 ?( a2 i. i' |& ]
set-plot-pen-color yellow
E5 {7 U# _8 \) k* g6 J2 j plot count turtles with [color = yellow]
8 L3 S5 {) x( _$ I+ m7 X set-plot-pen-color green
& @. v+ ^) Y) n2 U1 ` plot count turtles with [color = green]6 L. Z4 T: r# y5 x6 t$ r4 x8 u& T; j
end- m! O: Y0 ~4 H- R! \
to update-lorenz-and-gini-plots; Y: L) n8 z( L% M6 ]
set-current-plot "Lorenz Curve"5 @+ N \5 h% J
clear-plot; ^1 W( U9 ]8 `! D/ U* N
0 X* d8 G. {6 x% G$ W
set-current-plot-pen "equal"
8 w0 Q+ @" w E- b. x: `. J% ]. a6 I plot 0
' |. d8 n8 Y5 X) F. P! c2 N. m plot 100' @% B0 m) q. u$ H6 { @3 R/ C
6 I1 l7 g. k+ ? set-current-plot-pen "lorenz"
1 P/ [" P( i4 @ set-plot-pen-interval 100 / num-people& k: U' q! E1 L8 b, B j1 p) s
plot 08 I# N% @) J( \" a
7 g! f2 {2 @+ | a* h4 a, @ let sorted-wealths sort [wealth] of turtles( Z7 M4 l# T. g2 H+ z2 P. Q
let total-wealth sum sorted-wealths0 `6 |* t! L7 g' @9 I
let wealth-sum-so-far 08 u: Q/ U \2 B( X/ J/ i! P
let index 0% O4 Z- I/ h: {! N/ A+ N- S8 }7 A
let gini-index-reserve 0# c% H- N' V, w$ K/ Z6 n
" a! L. g+ `# O* H% Q repeat num-people [
0 l: X1 B, d% G1 R set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
, y3 q" c/ F9 ]. x# W: B plot (wealth-sum-so-far / total-wealth) * 1007 h. a+ W5 d% B4 |' T& N! K
set index (index + 1)
" P m- e& l1 {! O set gini-index-reserve J% H/ U8 h& x' {0 H4 y- z
gini-index-reserve +
: F6 F' F G; v8 M% ` (index / num-people) -
- P) P: c2 E+ H (wealth-sum-so-far / total-wealth)
n3 o7 a2 J. e* {) J ]
2 C( w3 V( c3 T! p5 ]# V: m9 a r& M# |( w
set-current-plot "Gini-Index v. Time"" s4 L3 Q" \+ w
plot (gini-index-reserve / num-people) / area-of-equality-triangle
, i8 ^* ?% ~2 f9 n O) `6 Mend6 d- L8 |) D' d- Q! l7 i5 a
to-report area-of-equality-triangle
9 ^, r4 ^2 @* n0 w( w report (num-people * (num-people - 1) / 2) / (num-people ^ 2)2 l1 i4 A) n, t0 [6 h4 H
end |