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1 a0 q6 a) Z2 O
globals
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max-grain
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patches-own
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grain-here ) j- `5 N/ i$ w
max-grain-here
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5 c; V1 C- A5 [; Qturtles-own
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age
+ f7 y; H4 b$ D wealth % ?5 k7 [/ B% ?! o
life-expectancy
/ ~! @/ d0 Z. N5 }+ ^. b" Y metabolism
( }" B( q/ i& q+ ^ vision8 n. ]: R9 n# n: U- I9 {# @7 z# t
inherited : R% ~$ e7 l2 u: E% j& c% T" o
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+ I; v2 T# D4 r: ~
to setup& ^: y* S7 O2 H5 r6 E% N
ca. M: C" F# M6 |0 k
set max-grain 50
. X( l2 p0 c! ^6 | setup-patches
$ |! f; v5 q3 ^* H5 e0 ~: K setup-turtles+ c- a$ s1 Y5 Y4 L" a6 ]
setup-plots( r7 x' ?, B# M: Y" }3 ]2 F# l9 {
update-plots
" j0 w7 u, Z* Y: n& [end/ B7 \4 g( w) @8 a5 F% Q
to setup-patches8 t* S7 B0 u9 U6 O7 I7 J9 |/ z
ask patches
* C4 @7 e+ n- B1 ^% I [ set max-grain-here 0
3 e, ]7 D& a2 y+ K9 n' V if (random-float 100.0) <= percent-best-land
2 M3 V* u% ~* k. h7 u! m [ set max-grain-here max-grain
+ {* b+ e, y. _7 |; e: s) e set grain-here max-grain-here ] ]. Y F. M+ Q0 W5 r4 z4 E
repeat 5# |4 K& C& X0 r8 O; n8 y
[ ask patches with [max-grain-here != 0]( M& ?" a; k1 @, E ]* M" Z
[ set grain-here max-grain-here ]+ C+ j& [3 X3 i3 s6 M* T1 t! h: ?
diffuse grain-here 0.5 ]; } P/ w, {7 K8 n, l/ i6 z
repeat 10+ @8 p) Z8 L- _9 [& B' V
[ diffuse grain-here 0.5]
/ J+ a* t& X/ v: L# u, A ask patches
* Z: i. x2 r3 B) c$ b9 K- [- H A [ set grain-here floor grain-here $ \8 s4 I( u1 H ^/ s
set max-grain-here grain-here
0 ]! N5 L; R1 M2 O: ^0 X. ? recolor-patch ]. K9 H1 L, b0 U3 a* x) w
end6 N8 p' c$ _0 d$ c# {
to recolor-patch
+ d& a' R% M& e/ S- y" M set pcolor scale-color sky grain-here 0 max-grain
; }1 J8 i+ a: `4 Rend' }* ~' q4 J$ y! K9 ~
to setup-turtles
8 B u# _/ ^6 Z% S set-default-shape turtles "person"+ x( [3 i& i! G* X6 E4 A- }$ ^ H
crt num-people
% T- U# y' f4 y* M/ ~) W5 a( p [ move-to one-of patches
7 z( C& j% U* B set size 1.5
9 G6 f, r( c; k9 C* j6 u set-initial-turtle-vars-age0 T! o8 ^. G+ C; i2 g
set-initial-turtle-vars-wealth
+ k# O. K+ x7 ~/ G set age random life-expectancy ]
; M2 ~3 v2 r" }9 ^. a, n5 i6 R& ]5 j0 ] recolor-turtles9 E2 N; J3 Z# g, Z2 \3 \- l e. {
end% l B5 X. x, U
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to set-initial-turtle-vars-age
+ ^( h7 T* m8 v8 w, r) O q3 G6 s let max-wealth max [wealth] of turtles
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ifelse (wealth <= max-wealth / 3): I' q, R* R$ m ^: G
[ set color red
( f9 R; ~1 ~& T set age 0
3 p& c4 X3 t1 @! S face one-of neighbors4
4 L% x# k, y& [( V5 h set life-expectancy life-expectancy-min +
# m6 g. b& r% o, e. E random life-expectancy-max
+ d7 M0 e4 A0 u, H9 W" D" X1 y set metabolism random 1 + metabolism-low
1 `" d! ]$ v; w5 \$ t, x) j$ d set wealth metabolism + random 30
) B( c3 m$ ]# H- n set vision 1 + random max-vision/ n) q! q% N4 A- A3 w# V
set wealth wealth + Wealth-inherited-low ]5 _2 m: W) O# o9 {
[ ifelse (wealth <= (max-wealth * 2 / 3))
* k" a, ^4 K, [1 p" X A6 k [ set color yellow
6 J& m' s ~$ Q2 i' k. W& d set age 0
- F* `6 x2 A( r) V& r face one-of neighbors4
! u0 S. s G6 V% x# c" K set life-expectancy life-expectancy-min +2 ~: h5 A/ z2 E( _6 z
random life-expectancy-max + 1
4 m- V" F4 y' J& n% c9 B' `2 o set metabolism 1 + random metabolism-mid
- A5 r/ q& i) R" z set wealth metabolism + random 30& y- A: O8 h& W/ ?" }/ w4 H! ?, _
set vision 3 + random max-vision
- j2 a& F( B; m$ u9 i; n set wealth wealth + Wealth-inherited-mid]
; O9 U1 @6 w, r9 i& \$ o2 Z [ set color green ; k9 r9 }/ b3 J' d& `3 P n
set age 09 c) o+ Y" W& V D: A i6 i
face one-of neighbors4 1 a& a- h9 a- f/ u- r( X5 l- i
set life-expectancy life-expectancy-min +3 P' m( n2 W3 |2 B5 i+ O) y" n
random life-expectancy-max + 2
$ N& g2 y: ]) |& S set metabolism 2 + random metabolism-up
) C$ q6 h: E' C- l set wealth metabolism + random 301 R0 l" n x; j& v" O7 q* F+ a l. y
set vision 3 + random max-vision# c8 e3 J' g+ T7 B8 @( {
set wealth wealth + Wealth-inherited-up ] ]
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end
0 @9 ^9 w2 w. [* x9 b& zto set-initial-turtle-vars-wealth7 l/ r' v" C, i! |0 I
let max-wealth max [wealth] of turtles+ x9 W& R5 a6 j" ?2 L! b& }4 a8 a$ N
set age 0
: w9 h, h3 U) i) w face one-of neighbors4
9 `! {9 k. q( C2 q, ^ set life-expectancy life-expectancy-min +
! d: ~6 z2 ^" y random life-expectancy-max ) l, @' T( [1 [
set metabolism 1 + random metabolism-up: o* z9 k7 W& o+ Y4 ^
set wealth metabolism + random 307 X# Q- @# k6 U
set vision 1 + random max-vision ) K K6 t* d/ |- M% W% _. `
end
C9 P- x/ R" H5 X# u- yto redistribution& Q* Y! l: o0 g
let max-wealth max [wealth] of turtles
9 l! U/ q9 o; t% tlet min-wealth min [wealth] of turtles
. u$ f4 q$ F* K; r$ Bif (wealth <= max-wealth / 3)
/ q+ B; F' f# h: X: _, J; [ [set wealth wealth + Low-income-protection ]
5 o& ~; u: ]# z6 {% Wend! |! r0 E+ Q) r- b% x
p2 ^0 y3 B0 p/ t \7 ato recolor-turtles9 v, t+ ?2 |# y0 r7 |; `
let max-wealth max [wealth] of turtles7 H6 \. |: H+ l' Q% v2 u# X
ask turtles
4 r) O. d: t5 I' k [ ifelse (wealth <= max-wealth / 3)
" u+ A& Y1 ^- R* M& u7 F3 v& i9 h [ set color red ]
" O! o7 @1 ~; C# L [ ifelse (wealth <= (max-wealth * 2 / 3)) v. r. A" v6 A) _/ y
[ set color yellow ]+ a0 l3 ?3 e8 o, l: }+ p
[ set color green ] ] ]3 w( W$ p1 u; Y* e: ?; c
ask turtles [ifelse show-wealth?
9 H7 \' O. v, ]/ x9 d [ set label wealth ]
- |: R( n5 V& g) q; K3 j [ set label "" ]]
) }, y; h, d& p2 Jend
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to go" K$ t: d0 t) k: \$ t- w5 G. H
ask turtles
5 k j5 F; |! K [ turn-towards-grain ] : X8 o3 Q0 J# Q) `1 E
harvest
3 s/ Y) N3 I* j. ^ ask turtles. f# D) r0 B9 |4 I
[ move-eat-age-die ]
. A0 B' N. v! j3 Q) l$ s& b0 c recolor-turtles; a9 K y7 p6 [' S0 y% r
if ticks mod grain-growth-interval = 0
# h: q8 z* d+ {* r, c# }* V [ ask patches [ grow-grain ] ]3 O8 z3 X. g. J* p7 d
, s/ s, Z1 u/ x if ticks mod 11 = 0( P* b/ n0 s: Z/ z# }! Z
[ask turtles; x/ r `* `0 f
[ redistribution ]]
/ F1 @- P8 s5 t% ` if ticks mod 5 = 03 N9 D( S9 U2 ?, S0 a
[ask turtles
. i6 m2 f$ c O; Y4 S, U' [4 P [ visions ]]3 _6 {7 ^$ j% e9 H1 B
tick& C+ ]1 Q* f' {4 d
update-plots3 g# x. S3 n" B- [4 `0 S; e
end$ w) p. r9 r# x. f) s
to visions: o, E( b+ R, E6 ]7 }: Y- @
set vision vision + 1 8 V* A( Z- a9 ~
end2 k, M# g1 w; g$ q8 c3 p8 T
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to turn-towards-grain ; L' h$ X) O8 L( V, Y: E. O9 N
set heading 0$ b, L9 `3 e' V: {8 `6 Y
let best-direction 0
/ L* P, ~2 O5 o' ^ let best-amount grain-ahead, V5 m4 T+ r/ J* |4 v
set heading 901 c: h- Q6 s3 _" }
if (grain-ahead > best-amount)4 z+ [7 Z3 t/ P# `3 @5 _6 n# J
[ set best-direction 90
& z4 u6 J' `: C5 [+ }& l. C* l! A set best-amount grain-ahead ]% L# `2 [9 z+ D+ H/ |) o" ?
set heading 180
+ W; c% X; N4 s' I d if (grain-ahead > best-amount)
2 l- |% `! V9 x; v `' y3 a2 F, C [ set best-direction 180! |% D7 e( g& t" t
set best-amount grain-ahead ], k+ Y4 }$ z3 w) G" z; D
set heading 270) J/ u) W. J I# G/ i
if (grain-ahead > best-amount)$ Y9 L. P l3 K5 q
[ set best-direction 270
3 d2 @0 G0 I7 l2 K set best-amount grain-ahead ]
0 o; C I( f) u9 ~, L" y* ^0 f set heading best-direction
9 K, [8 P' R. xend
( u7 [ K' F( \" Z" \# _
! D+ S. K( y5 G! ~% x
. {" u. u8 s' g" Gto-report grain-ahead & I) }! u+ ^1 S
let total 0, b5 G& K8 p4 h, k; q
let how-far 1$ R! L3 K8 C* p% x6 f
repeat vision
9 X* E/ }$ X; A5 ?0 C4 i0 F [ set total total + [grain-here] of patch-ahead how-far) \) _; D" ^0 A d
set how-far how-far + 1 ]0 r. ~8 {. m& F6 q7 w3 P4 } _: P
report total
, D1 Q3 ]6 I5 i2 a, I1 Q! oend" y" g+ G5 O) w# Q/ Z
9 X9 u; X+ u! {. T( [9 Y
to grow-grain & H$ @3 M0 `* K$ m
if (grain-here < max-grain-here)/ E- r9 u$ S- o0 d
[ set grain-here grain-here + num-grain-grown
- F" {9 A+ h* ]' Y0 Y }3 B- {' M: |* i if (grain-here > max-grain-here) 8 ?" [4 L/ }; y+ i, V
[ set grain-here max-grain-here ]
4 I% r" h7 [- y& T9 Z4 I recolor-patch ]3 |2 C' _. b( Y. f/ x1 h( K# D% e
end- o# R. Y4 ] G+ ?; w3 z, f
to harvest
: O% P4 ~, e) E) o ask turtles
9 W- L( w. P, J8 @/ a, h! [7 ~ [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]- i, a( P+ Q6 A6 W2 A0 k! d
ask turtles" D0 b# H$ q* @, r$ X
[ set grain-here 0( e) M3 o* N2 q0 [: D& m. l/ T
recolor-patch ]6 r1 \8 B* B& o) i& O( N% i' ^
( H. V% {* W) f: C: r* Gend
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to move-eat-age-die
% ]3 u/ [4 V d3 U7 h, J& i4 H fd 12 ]. i8 A z& P: t# ]7 y: E
set wealth (wealth - metabolism)+ V& a4 \ L7 E9 A# S; _+ P! j3 V
set age (age + 1)8 G- h, W8 Q5 A: E2 x
if (age >= life-expectancy)
4 e* b3 g+ Y& d/ a! t4 r% M [ set-initial-turtle-vars-age ]
- w% H' s# ]$ j' B' d8 g! i' F if (wealth < 0): b% u& ?$ \& \! D" \! ]
[ set-initial-turtle-vars-wealth ]
7 H; I9 b, _6 W% @" U
( T4 w; }& J5 ], L! ?end
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- c* J4 P, K: y- @
to setup-plots
# G, o: W4 C a6 F" h/ M8 | set-current-plot "Class Plot"
! ^5 z, \0 i: y2 H* | set-plot-y-range 0 num-people
0 E+ {2 @- X' [7 |2 z) v set-current-plot "Class Histogram"+ ]- f+ v7 ], v! m+ i
set-plot-y-range 0 num-people
/ y N- M3 @9 v4 o* Hend
0 @" Z( W) {- z9 _8 g$ T; _; z7 ~; E' m$ [8 N5 `# P1 f' |
to update-plots' [/ d+ |# Z9 X O9 H1 d7 \
update-class-plot
8 i+ a5 [) b" ]7 U update-class-histogram
3 A, p: S; B/ [ update-lorenz-and-gini-plots. K1 f% s" C+ J$ l
end5 \! G: E# |" }7 [2 X! J8 O }9 m
8 e+ z4 D4 K E. {$ q
to update-class-plot: |2 ~4 z: @& x$ V; M! W+ F
set-current-plot "Class Plot"2 d) M; r" \' {* @5 O
set-current-plot-pen "low"
5 q# ~$ y5 `1 X plot count turtles with [color = red]
: W$ a8 q0 }$ }% U% `8 P, [ set-current-plot-pen "mid"
! x V# S" P! Z) _: d9 M4 w plot count turtles with [color = yellow]' l' u' N) `/ P' r9 X9 Y
set-current-plot-pen "up"8 m2 P- ~% N) V& i
plot count turtles with [color = green]) U/ u( P. n% ^' j/ T- U* t
end' \/ w+ p$ F3 m! K* a! O8 i, }7 k
" i& R! f* F; P6 W) b- x; O
to update-class-histogram# Q$ m% R: s+ B" I8 P1 }' r; _
set-current-plot "Class Histogram"
0 s* ]2 z1 Z1 W) w- p& A5 P: X plot-pen-reset
- p- O3 v2 p, d5 Y2 H set-plot-pen-color red) c# ]( H9 Y+ `/ G. t1 x
plot count turtles with [color = red] M; ~" K4 i: \, X5 Z
set-plot-pen-color yellow
$ D' ~( g/ |7 ?# W% j# `* }; X! x. m plot count turtles with [color = yellow]8 C5 g; v2 @# i: Z `# C5 s7 `( X
set-plot-pen-color green# c1 o. L- X6 H0 m: H
plot count turtles with [color = green]! r- a1 O, J; u7 U# l, V+ v
end0 n% Y1 l1 k1 y: h' {, f, G* m H
to update-lorenz-and-gini-plots
) `& h! u! j" x- i$ L set-current-plot "Lorenz Curve"
1 e4 U/ k4 z$ m! W clear-plot
: ?- a- S0 I z3 [+ z6 k* }* l2 \" L1 N
set-current-plot-pen "equal"
# g; r6 `5 y' ?$ Q7 q' E2 j5 ] plot 0
8 I7 s l' \9 F @+ { plot 100/ K+ ^: f" Q1 S9 Y; ]8 ]: i0 P/ \
! K1 e) b! ?+ B$ f& N( |6 y: x set-current-plot-pen "lorenz"$ I& V3 l F p, [8 _# R
set-plot-pen-interval 100 / num-people
9 T) ]3 |# O$ G$ Y, _: ?7 [7 c plot 0- z7 Z% T& u& @1 x$ ?3 i
. [) }& s# `% ~: J" x) o let sorted-wealths sort [wealth] of turtles, K( a; n+ T* P
let total-wealth sum sorted-wealths3 Q9 r0 Z% }$ ^* P+ n5 L+ Q. U* ~
let wealth-sum-so-far 0
. i7 a6 @) d) W2 W. X# [ let index 00 ~* D/ y& F, e# S& [. I' V1 q
let gini-index-reserve 0
7 S" h' A. n: q8 T6 s, Z2 g4 j) U7 K! I$ y. C
repeat num-people [
- ?* e7 s7 A' j) P+ G- a, F) Q. O: `4 L, \ set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
: t0 O: W$ [1 e; u6 a2 ^( b6 r" k( X) v plot (wealth-sum-so-far / total-wealth) * 100: N& i, X( y" x" y. n4 V
set index (index + 1)
A6 X( U7 v* Q" z: }9 D- M1 x, j set gini-index-reserve
3 _6 ~, n( x& V' j3 S2 \ gini-index-reserve +: `( s3 a! B2 H! D) Y6 y
(index / num-people) -2 l; e3 h1 l4 S4 n/ t
(wealth-sum-so-far / total-wealth)
+ p; B* H+ l( K ]' r5 Y% L" O' d% b- ^' c% g
+ o: ~8 ?* s6 [2 L' @% e set-current-plot "Gini-Index v. Time"% g' d* n" v' x3 @
plot (gini-index-reserve / num-people) / area-of-equality-triangle
+ T+ ^8 n5 {" y' {( ^6 p& yend
- y3 X: j8 O6 \9 D4 sto-report area-of-equality-triangle
- w4 G9 i! e: w" A report (num-people * (num-people - 1) / 2) / (num-people ^ 2)- E8 ~% R& z. n& U
end |