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 p* ~" P4 W( Y, r. q8 [
globals5 j, W2 \" i& {& j
[
) G5 L" r# u* { max-grain
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], `, [8 K* a& y, U2 y
{- x7 |$ g) l- W* }# T
patches-own) _; l4 t; m" s# g" H$ ]
[' x* V4 ?1 g# p7 R
grain-here ) v4 q% l: Q4 K$ \, ~# s) m: m
max-grain-here
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; X$ Y' P, o0 ~7 F* ~turtles-own
" g/ p2 y3 [+ e% q+ D. Y _[
- f- |% U$ v6 A: Y: I! i8 u age - a! r! [) I' F' k
wealth
6 [: a( ~8 @; a' m0 j9 ? life-expectancy / l5 a8 d$ I D; j
metabolism 8 E6 L+ v4 T# q$ ~% e2 g% F- E
vision
4 F% a) z: }8 h3 J+ ^+ _) S inherited 8 H/ M' }$ L6 W5 ~
]: o5 B3 Y1 q3 G1 F) ?5 n- y
9 _$ a7 ]9 h% K* P- M3 D+ ?9 m
/ c$ m, K" ^* A7 b9 x$ v) c
to setup9 L( w6 z) v1 w0 K, x W1 w3 c+ Y
ca. K0 D+ V* h7 {3 ~. ~
set max-grain 50
$ {5 b" Q6 a5 w/ h( b setup-patches
5 h" F* K( E6 A( Z8 W setup-turtles
6 ~/ ]5 W9 T2 H( C- o6 J setup-plots) h# {2 p7 c0 [" L
update-plots ^5 w4 U: Z" j2 p# A, S+ h# J
end
. j8 j1 V+ x- H; Vto setup-patches1 [" [' i5 o0 _, [
ask patches
6 q8 A0 I+ F H- B( t [ set max-grain-here 07 j- s& S! g1 F6 ^; G
if (random-float 100.0) <= percent-best-land. A7 m! v$ s9 `
[ set max-grain-here max-grain
: K1 x. l9 i, a8 y% }8 b+ t6 |- G set grain-here max-grain-here ] ]9 H2 r. W( k* r. E$ C- p
repeat 5% O, [* B0 N5 s$ e2 e9 E/ g
[ ask patches with [max-grain-here != 0]) h' y0 D& q0 b* a
[ set grain-here max-grain-here ]9 x& y1 ^& |4 |8 v* O* A, W& j
diffuse grain-here 0.5 ]
3 @& A3 H3 @8 q6 H4 F- |7 n repeat 10
4 c5 r% Q& g6 P7 L [ diffuse grain-here 0.5] 5 `( p1 h2 s I! @
ask patches
" `+ v2 u% g4 w* x$ l [ set grain-here floor grain-here
% n- T! b5 q2 b5 f' H: T6 Y, `" Y set max-grain-here grain-here & X6 S* F" X7 o/ W
recolor-patch ]8 D6 S) z# S( {! N9 }: I
end) J( U+ M' n5 B+ T
to recolor-patch
& x+ _2 i* H5 _$ p( H9 ?2 j' b& N set pcolor scale-color sky grain-here 0 max-grain
% Y0 b6 H* C* }end
" }7 f: O' ^$ {6 y: oto setup-turtles5 q5 ?4 ~+ R! y0 P3 j
set-default-shape turtles "person"
" b- o- l3 G6 z+ |! k crt num-people
5 g$ E; @% G$ L4 }) _/ I [ move-to one-of patches 5 y9 b* P( X# g4 Q# A' Y
set size 1.5 3 l( c# u( c6 @/ B) j
set-initial-turtle-vars-age
- o/ V7 x4 i( e set-initial-turtle-vars-wealth2 Z; n' I2 I+ \$ H l# d S& |: l
set age random life-expectancy ]$ e: e) f6 S, X, w0 a+ \2 c7 ]
recolor-turtles
; s$ i$ Y2 i5 T. S Yend1 ], U6 Z; @0 [( D. s
% s# u3 v9 n5 x) bto set-initial-turtle-vars-age, n0 L9 t4 M1 Y3 W( B
let max-wealth max [wealth] of turtles+ q |2 D! p/ n; L- b7 g$ m& F
: S% l7 X4 N" S9 y: ~, X/ M ifelse (wealth <= max-wealth / 3)
$ J4 e- r- k9 G) D" m) @% `9 h [ set color red 1 H8 y( Q* R1 |: T# f: p' g/ {
set age 0& z# q. A% m# Y; R- ]( k6 h
face one-of neighbors4 % H6 N& \, m+ U
set life-expectancy life-expectancy-min +9 H( o$ v9 S% W7 I
random life-expectancy-max : [9 `2 g; O% n8 O0 a( R
set metabolism random 1 + metabolism-low
, l0 h* [ T; m# k* M set wealth metabolism + random 30& M7 `: ^4 `! N M
set vision 1 + random max-vision
6 D& ?( e& T$ q. e2 R% @ t: Y% a. _ set wealth wealth + Wealth-inherited-low ]+ D/ N- i4 u$ o1 C
[ ifelse (wealth <= (max-wealth * 2 / 3))
* m- w4 {" B o4 \; ^, { ` [ set color yellow
) N) W# i; x" A3 e4 N set age 0
2 E$ i9 R) v( X/ g; C+ b face one-of neighbors4 6 E& P; V2 |4 ^/ A F* S
set life-expectancy life-expectancy-min +" ?% J( c' ~( o% w$ w
random life-expectancy-max + 1
8 P4 ]$ v, W9 b, g! h) y set metabolism 1 + random metabolism-mid, i& n ~+ ^3 z1 @' L$ Y
set wealth metabolism + random 30
% D3 V2 r! u6 A7 p/ c( @% G0 D set vision 3 + random max-vision
; `+ S4 H6 ^+ h- x" o" i" t- i set wealth wealth + Wealth-inherited-mid]
% D8 ]/ Y) {3 [1 }" m3 b [ set color green
+ T% Q# ^' {8 | g. ^% | set age 0
( A5 t2 g) c4 ?# \ face one-of neighbors4
M: B i8 r7 s8 m set life-expectancy life-expectancy-min +9 h7 b' Z; @4 d! v
random life-expectancy-max + 2$ h t- q) `% @1 @2 Y
set metabolism 2 + random metabolism-up
/ Q6 k6 g1 b3 N1 |4 ?& T set wealth metabolism + random 30& Q. h ]+ b; S" C* x3 U
set vision 3 + random max-vision
/ ?+ V5 d; S3 V set wealth wealth + Wealth-inherited-up ] ] ( S6 A$ v) A1 R
/ F0 B+ n; X! l: S% V4 rend
1 i3 }' G) Z0 @% R8 pto set-initial-turtle-vars-wealth s3 Q% ~, w. ]$ M+ P* c! q
let max-wealth max [wealth] of turtles! h [. c2 v" t& E" P
set age 0
& c( Z4 g! q1 ?6 c; \7 ` face one-of neighbors4
- m. h* f# ~# }$ K: d1 r7 V set life-expectancy life-expectancy-min +
`5 V( T$ x; p0 q1 `: ~ random life-expectancy-max
' g3 y7 s7 h! j8 M set metabolism 1 + random metabolism-up
* `1 T# w1 _. F4 m5 V0 r set wealth metabolism + random 30
/ f: B+ p# W; I) y" @0 L1 h set vision 1 + random max-vision
# ~! X9 q8 E s( ?0 Rend
. l* ^# \' a% wto redistribution% E5 D( }, v* W: Z
let max-wealth max [wealth] of turtles$ J- y( h" d2 I( E7 C7 O
let min-wealth min [wealth] of turtles
3 @* n* X, d4 A- }if (wealth <= max-wealth / 3)
& U$ L8 Z6 n/ M, N5 W6 X [set wealth wealth + Low-income-protection ]
1 y( X% q( j$ wend, @+ t2 M1 v+ I G; o
7 K# j% }; H) k- P+ P) e: v
to recolor-turtles
' ^5 P3 M) ^ N let max-wealth max [wealth] of turtles1 O" V( ]# u* ]6 M
ask turtles
% s/ b5 {8 Y% f" D9 P [ ifelse (wealth <= max-wealth / 3)' x" G6 M/ Q1 ]6 z( V
[ set color red ]9 D; \% l/ q7 |' L
[ ifelse (wealth <= (max-wealth * 2 / 3))
) B& ^0 g1 e3 E. j$ g& N/ }4 f [ set color yellow ]
' I* b9 t! j$ ^! q; b [ set color green ] ] ]
2 x% {$ T( T5 X: V- W5 E) C ask turtles [ifelse show-wealth?. W2 a- a% \( T; x5 L" m
[ set label wealth ], H8 d3 E1 X; D: e8 \( C
[ set label "" ]]
; r- a- b! O4 \: H) i# G, kend9 _1 f8 E0 a! i
& F0 F- r" i( G
to go) t8 l9 o0 j6 F; v/ [
ask turtles- T/ l# @+ R! x; \, D; C
[ turn-towards-grain ] % Y. ?: A, y" L8 x8 t4 ]
harvest
2 Y2 w9 ?7 T$ G3 `5 _ ask turtles
6 l) V' o7 G' Y8 P6 |$ X [ move-eat-age-die ]( a7 M- H% b M8 Y/ ^- r2 _5 A V
recolor-turtles
- E! O1 H" ]9 V2 u+ c- i if ticks mod grain-growth-interval = 06 z0 ~! u9 H& h0 N
[ ask patches [ grow-grain ] ]$ A5 x. T" c+ o% M2 h7 w
! d- J2 ^5 [7 M' A) y; j
if ticks mod 11 = 0
~/ f1 g9 Z/ p. [ [ask turtles
! g4 w! X; e! h7 l8 H- M5 J [ redistribution ]]: X4 H n: Q9 @. K9 j5 E) y" q2 l, U6 f
if ticks mod 5 = 0- @7 v4 A' x. N) W. N; x
[ask turtles
4 Z3 f7 X D, a3 y7 Y [ visions ]]
" B N2 A, q* Y: k5 h( S) \ tick
2 _% u9 z; P$ G update-plots s$ D# c+ a$ |: G5 Q0 D) P! w. w
end: g/ _" P) c6 Z+ f! t( l
to visions
' M& _) g4 k1 K3 L% f$ B; y2 {; I* A; S; v set vision vision + 1 , Q7 q6 i) ^4 e. m: c
end2 l/ c6 D. B* w% j8 v- F5 N4 A
$ o5 I, D' r, `6 i8 K) ]2 S1 C0 p
! s5 a9 G4 G0 ]) r( p
5 b( u* s4 q6 g3 I o/ Hto turn-towards-grain
% x1 {; C$ M8 G) R, t" d, w2 E7 f set heading 0
% ?2 L# n, a& x+ G9 O. ] let best-direction 0
: d+ G; L0 x' r- U v6 X9 ^ let best-amount grain-ahead
5 D' l8 w+ A: w% t" A4 v9 ? set heading 90
5 ~0 s% x& [& A4 W& M" H/ K9 q9 @ if (grain-ahead > best-amount)
! h- {% k) C8 n+ W( e [ set best-direction 90& [- p7 D* B* ?3 f+ d& g/ M$ K/ Q
set best-amount grain-ahead ]7 \# j" R, v3 v$ j3 q3 d' Y- G
set heading 1806 M& u$ t) f! B+ S$ k
if (grain-ahead > best-amount)! r, `, M* h! q4 S0 \' ` I, N o n
[ set best-direction 180# c# \- {+ g" w( `
set best-amount grain-ahead ]
; H- F# K5 V3 o& o( b set heading 270
# }1 T% F8 P T if (grain-ahead > best-amount)" G+ y2 M, j4 M: H
[ set best-direction 270
$ e2 _1 t- a+ C- z' C* p2 I5 S$ y set best-amount grain-ahead ]9 \! _5 j! a6 Z0 h$ m" v% w
set heading best-direction- v, [# \# {" A/ |
end; s* P6 Q& G: n- T+ |) |
/ }! s/ [4 G' y8 P) S/ A* n' b
* a6 k/ _3 G/ P8 g9 N: _
to-report grain-ahead
' L* F) ~6 u' G# U( T# c% F6 N" f let total 0
! r, ?* L. n {3 O3 S' ^' } let how-far 1
b. `+ G5 A3 G+ ~ repeat vision; a( A" _( I- T5 ]% a2 h: V5 R9 V- E, d5 I
[ set total total + [grain-here] of patch-ahead how-far( h2 r$ |6 N5 b+ L' b' {
set how-far how-far + 1 ]+ k0 N9 s; _. O, M
report total
/ T g( I% u0 M7 K& eend
3 m4 r3 F) \( R- L, G! f9 J
9 [" J+ W" k- P/ M! ^to grow-grain , |7 t% K& h* S+ E; ~! q
if (grain-here < max-grain-here)
* O/ j$ x0 N% | L4 ^: V# V4 m [ set grain-here grain-here + num-grain-grown* z5 r) X( P- F3 j
if (grain-here > max-grain-here) 0 m4 ^! P$ p0 B' A9 f# w* V
[ set grain-here max-grain-here ]
+ Z9 H4 Y% i# m7 Z recolor-patch ]7 F8 S& d k5 I# M- b* w8 X, h5 R
end; }8 X4 {& W! x% h8 j, z. g, b% u
to harvest
9 T; p5 D/ T3 Y ask turtles* f% j6 I7 ?- c
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
3 n8 h( ~. w$ F0 L: g6 n ask turtles
" Q I3 _% \+ l6 S' Y e [ set grain-here 0) G6 v* d8 F+ e4 ^
recolor-patch ]
0 V( L1 \7 f! \% d" }$ W [
2 B5 D, P& w! a, Wend
& W$ U; g ~: D
0 _1 `2 p. @8 q* ~& A: P Jto move-eat-age-die ) A$ e9 H1 l% H# q
fd 19 E* t5 ]0 l0 I( Z% E! C7 C
set wealth (wealth - metabolism)
. b8 l( |3 {/ A6 _, L' D: N, k6 y* Q set age (age + 1)
& q! |- H% `$ V/ I: @" c' s! b if (age >= life-expectancy)* ^+ U/ O* t! y8 O# H
[ set-initial-turtle-vars-age ]
8 k) x* P1 A1 Y( T3 R+ w if (wealth < 0)
, N6 J/ w2 y: k2 K. n" P% \4 p& l2 A [ set-initial-turtle-vars-wealth ]
! E3 P1 q# V5 G# |
- k+ N! n7 P- Q9 `0 t7 ^end
: \* n! o& ? e: ?% `
8 t. c% j0 c S, l5 d6 U& A! C
: z1 c% w+ x( I3 ?6 `7 \to setup-plots; Z k1 k1 A" H% z- f& \' g
set-current-plot "Class Plot"
, x- ]6 x6 o) V( c set-plot-y-range 0 num-people
S- }& c3 q; B9 J) Y7 Y3 \* g set-current-plot "Class Histogram"! O1 Y# ]7 B& t
set-plot-y-range 0 num-people
( C k" z o2 e7 K! X: o" [+ Kend& |5 C" B) m3 s& N% z8 V! F
& ?( n2 h0 V$ I3 v
to update-plots. z7 B" _9 P( Z2 @# V/ M1 \# d
update-class-plot
4 [( e8 b% Y0 n update-class-histogram
2 g. L F2 F3 r9 Y& ]* i& T; F update-lorenz-and-gini-plots# f& j$ N% W) x% |' W* M. W% o
end7 [, Z* b. o5 N* C2 ]
( E A6 I# F5 J. F2 k% b$ a" c
to update-class-plot0 K% `, v: d! O- p
set-current-plot "Class Plot"5 [% _3 P* u; m* h3 j2 [2 S, Z6 G; X. c
set-current-plot-pen "low"
! B7 V5 q! C% M' o/ C4 }: Z plot count turtles with [color = red]) I) Z6 j) s+ `4 K+ S
set-current-plot-pen "mid"
: g+ H8 s4 S3 T8 f' O plot count turtles with [color = yellow], t/ Z8 X. t& w2 ?( a
set-current-plot-pen "up"
: B' \ P, b" V" n9 D plot count turtles with [color = green]1 _; b/ V# c: _' T
end5 u$ ^6 f$ B# U1 L3 S
, C$ t6 ]( d- v; |
to update-class-histogram- J' A* P9 g, k$ l# C, R0 Y" K9 t
set-current-plot "Class Histogram"
, I/ z9 t2 V4 `- `4 y plot-pen-reset
7 @; U7 e+ H1 G% q. \0 } set-plot-pen-color red
. y& I3 k, y4 k6 ^4 O5 h( j plot count turtles with [color = red]
. \7 S6 U! I" A# C3 q6 b' d set-plot-pen-color yellow
, K! t$ Q5 m; X- t* F% f# a8 M plot count turtles with [color = yellow]" G4 O$ J0 o2 F2 k
set-plot-pen-color green
- N) d- C7 `# T& ^0 Z plot count turtles with [color = green]
' d) U% o! A6 x* T+ o( p0 G" @end, ~9 Y' G6 f! M
to update-lorenz-and-gini-plots- E1 }) p0 y& X3 X) G6 T$ p# K
set-current-plot "Lorenz Curve"
2 m8 X- Z5 k6 A# i/ O( Z% ?' ` clear-plot& L! M6 Q, _+ ? d! B* _+ p
2 D! q( k. `. A
set-current-plot-pen "equal"; R2 E2 ~" ~: K$ a; Q1 d: r' E, N0 @
plot 0
1 {- T( l% N2 N9 c plot 1008 e" }% X2 \6 Q2 f
$ b+ H/ d% C" F! T set-current-plot-pen "lorenz"
3 o- J1 O5 A8 L+ D3 x# _( u set-plot-pen-interval 100 / num-people
1 Z3 R4 m W0 m' }0 O plot 0$ a; @! `" ?1 p% f; Q/ t
- B: t5 `! p5 B. p, C0 L7 o( H+ F
let sorted-wealths sort [wealth] of turtles
& V4 Z8 P; Y N- M+ Q3 o let total-wealth sum sorted-wealths
8 i n- x; |/ G2 L let wealth-sum-so-far 0
5 t3 Z3 n9 l4 R( v* z( c9 ^ let index 0# Q; v5 S$ `% d: A7 @- t
let gini-index-reserve 0& k; W0 N; K7 @6 J$ ~
0 g/ n0 J% ?6 ?7 e" H8 i, d
repeat num-people [3 \; `. N8 K/ J
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
1 _. A" }( a4 }0 n plot (wealth-sum-so-far / total-wealth) * 1009 S9 T9 h6 U& c C' h/ d: f: N) ]
set index (index + 1)
O1 z# v u6 V8 E set gini-index-reserve& B# v6 { t3 V, f8 A8 Y
gini-index-reserve +
+ K( f9 I" B$ L4 c6 ]" n (index / num-people) -+ {' K0 S6 n [: Y
(wealth-sum-so-far / total-wealth)
r, a0 Q( m2 Q; i5 B# ] ]
7 G6 M% @5 P- D" K6 R4 A% ~7 L3 Z; C0 c' x
set-current-plot "Gini-Index v. Time"
4 J1 ~# _ U/ P6 a plot (gini-index-reserve / num-people) / area-of-equality-triangle
) n5 Y. i3 J) f5 k7 s: Q- E* Y: |end
f# p) B# t$ J$ r. @ Gto-report area-of-equality-triangle# H6 a& E ^$ c% W/ u& m3 g
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)8 I# Z+ a" X2 `
end |