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
) W% v4 ~. w$ T+ G \+ Eglobals
4 x# n$ ]% [- B" q! P[8 V# E( f9 l/ ]) {
max-grain
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]
* @& k( o( v4 P* V' x* `/ a' P
; q$ o; D9 G$ apatches-own
" Z% Q) B" J+ x( c[0 f/ j9 A8 w1 C5 y2 ?
grain-here
% \6 G0 D5 ~6 j- t5 `$ Q. @3 ~ max-grain-here
6 a2 c8 M2 S# q) n( ?]
3 I6 A3 }5 Y) a$ f
0 o& o7 w: n4 Z h9 \! c, Bturtles-own5 @) i v7 X# X5 n/ o/ z& h; D4 c
[. ~7 c5 [7 ~4 z. Y( U( ~
age
& X! l* @* n/ E; D+ _. j wealth
( L: F; N' a0 R8 I life-expectancy 2 [2 ] e1 r+ s9 ]4 `8 @8 Z5 D
metabolism
3 V4 Z# a$ y$ R vision9 a. f8 [8 t$ K K( W3 I
inherited
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' I9 a# ~' o8 [+ _0 ito setup7 E# [+ A: h* }+ r: w& K
ca5 Y2 h a4 q* ]9 _
set max-grain 50
9 f" E H x, @! w setup-patches2 M8 a0 g: @" y
setup-turtles
9 g' } V- Z; e& F setup-plots' T! B& x& w3 n5 X* O) u& ]
update-plots5 m2 f1 C- V4 s' u) Y+ _' z- e
end
1 V$ v6 u9 M$ @0 \1 Q( U! Ato setup-patches1 c7 d8 l' \% ^0 H) I4 O
ask patches
; o+ g) `+ d- M* b: \, ~* I% T [ set max-grain-here 0" ]1 e9 O/ o. C7 C
if (random-float 100.0) <= percent-best-land
; T# o3 X: i. b7 I# Z3 w( r: G" d* ` [ set max-grain-here max-grain, J4 x' K/ E# y2 j% g5 X
set grain-here max-grain-here ] ]
$ }9 s u: s( I5 T repeat 53 g4 U8 v! o1 F0 E
[ ask patches with [max-grain-here != 0]5 F# a9 L; T) R$ t1 e
[ set grain-here max-grain-here ] N# Z$ l* f+ n' H. M: E" J
diffuse grain-here 0.5 ]! A7 N& ~% c7 V+ c. }5 {2 X
repeat 109 `& u/ O0 t- D8 K
[ diffuse grain-here 0.5]
5 X' o+ ~ W! f! ~1 w" R ask patches
# j0 B: {0 W+ P# ^; s- o1 t [ set grain-here floor grain-here
+ l* ?7 a: n+ H/ @ set max-grain-here grain-here
' m+ ^) N, d6 a) S recolor-patch ]
, R! j7 y# ^ {' m* \9 \- Gend
/ W: ?: r, D8 H2 [! n. Qto recolor-patch 7 f3 G, _+ E" a K8 R* j* t2 h
set pcolor scale-color sky grain-here 0 max-grain3 K) @8 u1 [" b8 r8 b
end
6 B6 q" c' v4 ]: }" Bto setup-turtles! X7 b: I- Y3 q' M2 k9 n( f
set-default-shape turtles "person"/ G4 D& L8 G/ R- W8 s/ |- b
crt num-people
, j, F) L0 _. m. k. R( ^% w k" K. V [ move-to one-of patches
+ N& b) ^ U' [, p$ m set size 1.5
1 V% f& q, z$ d1 G0 { s set-initial-turtle-vars-age
+ k, K' Z- j* x set-initial-turtle-vars-wealth
. A" H; X: l) Z5 {5 ?# ~; p" M set age random life-expectancy ]- \8 h7 a2 N6 g% i
recolor-turtles% T* M; }5 O& F) R. ^
end
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to set-initial-turtle-vars-age
( o7 K' H1 }0 n4 V* o let max-wealth max [wealth] of turtles
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) f- {7 q8 q* C5 j: m ifelse (wealth <= max-wealth / 3)) u2 P3 V! x( ?3 B" ?7 _; G
[ set color red
: F4 h' c5 ]! @9 ?- `+ | set age 0
- J0 P2 y7 Q) b& v! c. w+ a) l8 U face one-of neighbors4
; ~: N8 Y$ ^/ _) F& ?0 Z3 E set life-expectancy life-expectancy-min +
0 S9 q) I/ q8 v2 {$ p X9 U- \4 g1 E random life-expectancy-max
! A$ W( ]7 b; T( D: Z0 o/ S set metabolism random 1 + metabolism-low- J& z5 ~7 z! @% s
set wealth metabolism + random 30
0 u$ V6 p7 _" f" f4 ^ set vision 1 + random max-vision
* l$ n# f2 d1 j7 B, }! h$ h h2 { set wealth wealth + Wealth-inherited-low ]7 W- ?9 d4 C+ g) t; X
[ ifelse (wealth <= (max-wealth * 2 / 3))
; K' g; I/ D6 n2 Y1 Y1 J! J/ F [ set color yellow : q) a+ R6 q' j2 P9 X8 q
set age 0. c! L8 X0 X" [9 c6 J
face one-of neighbors4 / K/ p. X9 M5 i0 z
set life-expectancy life-expectancy-min +0 \2 h9 T& m% e; }# T% U1 ]
random life-expectancy-max + 14 ]$ w9 j, }; ]* G5 ^0 O
set metabolism 1 + random metabolism-mid
' e% J! O4 K8 C3 n. H' o6 \& g set wealth metabolism + random 30
4 s6 G" o' |' x# N- c! m set vision 3 + random max-vision6 j8 k& @* e9 w* a
set wealth wealth + Wealth-inherited-mid]& w( a; s" \- C) [
[ set color green
* x2 }* G$ S, O set age 0
* E0 R0 \# i) n9 N face one-of neighbors4
" Q% x' O8 q: V( n2 s set life-expectancy life-expectancy-min +
: J4 c% J2 ~4 G5 a" _& Y5 H random life-expectancy-max + 2
: t4 U$ B% z# A% q9 z4 ^5 | set metabolism 2 + random metabolism-up
: S0 j: _. u [ set wealth metabolism + random 30* w) E& k) P* E' m4 O6 V
set vision 3 + random max-vision2 P2 H# E( C* s+ l2 S% [0 P
set wealth wealth + Wealth-inherited-up ] ]
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$ l% E) M* k5 T8 J2 S2 Rend
7 j$ o5 r6 }. i0 |5 V1 o: Uto set-initial-turtle-vars-wealth
5 t' D4 b, N0 f1 r; n$ X let max-wealth max [wealth] of turtles
5 t( N: t: r% T) \8 y2 Y set age 0/ k+ ^" i) P: q1 e9 F
face one-of neighbors4 * m5 `; ^8 v* H+ D: O2 @
set life-expectancy life-expectancy-min +
: {) v. d6 l' {/ w% M7 Q$ E7 K6 o# G( s) t random life-expectancy-max 2 Z! X0 W3 C+ l$ X% w
set metabolism 1 + random metabolism-up
6 O/ l9 y, Q9 j( S( _& A# [ set wealth metabolism + random 30
- T& F2 M# Q3 v7 | set vision 1 + random max-vision / u- W! t( b @ G- V- F: }( d
end ~5 }) I8 B5 j3 D# v& D' @7 h0 S* m
to redistribution% l: P f7 l) E' O' H( R
let max-wealth max [wealth] of turtles* {- w+ ^+ ^. ^* @7 s. Q" r
let min-wealth min [wealth] of turtles
5 I; e1 x' Z8 H+ J2 W/ Pif (wealth <= max-wealth / 3)
' U( ]3 @4 p; S* a" f; z" q [set wealth wealth + Low-income-protection ]
; \- S ]- X/ N9 \/ }end
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to recolor-turtles4 b7 I9 D N. V
let max-wealth max [wealth] of turtles w/ k3 Z+ ?! _& S- f; ~6 Q
ask turtles
* J" ~! f0 ~" y% y# D [ ifelse (wealth <= max-wealth / 3)+ j% ^- V x! X0 r5 }) o
[ set color red ]" U: M( p7 |% G- Q) j
[ ifelse (wealth <= (max-wealth * 2 / 3))
; F' ?( ~5 C- J3 g3 Z [ set color yellow ]
) D# C$ f3 d5 r8 d2 F, O; O% p8 }0 C [ set color green ] ] ]1 D) T" n! w" H( D
ask turtles [ifelse show-wealth?. C7 l$ k7 P1 H
[ set label wealth ]; M4 R1 m" w S! h/ r; S
[ set label "" ]]/ A+ `+ L3 Z( P7 I, B9 d
end' c& M( ^: O& A; p8 I5 a( r( z7 V2 Y
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to go
! i- m, V8 M, U& ~/ g- I ask turtles
9 ^9 U/ O$ K9 E( G/ W4 _% e [ turn-towards-grain ]
/ ^+ C$ m& ^8 ?& |4 r4 }' A harvest
* w3 c) x& K/ g1 m ask turtles
, m s" _& J6 j! p" T* ? [ move-eat-age-die ]
* `$ H7 V: q+ p6 { recolor-turtles
6 K; o" T& Y# E if ticks mod grain-growth-interval = 0 ^( u0 _+ t* \8 b) ^+ B0 `
[ ask patches [ grow-grain ] ]
' j! l1 g' a& c9 D* i - l; ?( m) ? N1 F% r: @
if ticks mod 11 = 0
4 n6 \6 n' Q3 ^$ O [ask turtles5 ^% s9 w0 }2 n4 Y6 y7 E
[ redistribution ]]
: y+ h& [# h8 K+ u5 b if ticks mod 5 = 0! v8 C }* E8 @; n1 q! C
[ask turtles" p# Y9 t r' K4 }: F, a
[ visions ]]
; e6 E/ |% t% ] A9 a tick
+ |$ E7 n' C* O/ ~9 s update-plots. _1 i4 R4 K2 A! }7 ]( F
end% q1 X% q: L5 E0 }9 l
to visions0 H) }* K; [- @" J- k6 U2 A% C
set vision vision + 1 7 {5 h% }7 d) O3 x5 |6 z4 q
end
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! a0 v( x% G/ [. ?/ e8 e7 V o+ f: Cto turn-towards-grain
$ e% Y1 n# b- b9 e: D8 X set heading 0
: s# p& ~9 Z { t+ b( W- T: B let best-direction 03 s& f& h( ~, P* q" E
let best-amount grain-ahead0 l6 A' B- m: a3 p- i/ Z, l& n
set heading 90
3 B5 Q# I, o- T5 a if (grain-ahead > best-amount): n l# {! ^6 p- j: U% a
[ set best-direction 90
U! Y0 j C& S% F! a- c set best-amount grain-ahead ]6 F5 ?+ `$ T1 e3 \
set heading 1803 _% a6 H+ U7 h- t4 ]
if (grain-ahead > best-amount)
+ _4 J9 p# [1 u [ set best-direction 180
( J) d8 g1 o V& r) D9 ] set best-amount grain-ahead ]
" U' L; {! a0 r3 y/ i set heading 270
1 O4 V- L7 o- W0 p) h if (grain-ahead > best-amount)
/ Y5 s6 Z& k5 s. r [ set best-direction 270# J1 ^# e0 d, g* U
set best-amount grain-ahead ]7 m; B. ^6 T5 G$ A& S
set heading best-direction7 S0 \/ e3 O+ r$ L% C8 H
end0 r4 A* P1 S4 ]
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to-report grain-ahead 5 m5 _7 F) ?/ I; n E
let total 0
8 Q5 v* b& {/ v' F$ E8 y3 c* B- Q let how-far 1- n' Y7 \2 e. Q+ L
repeat vision
. T# [ H; B2 } [ set total total + [grain-here] of patch-ahead how-far
( B* k: k( @; S8 y set how-far how-far + 1 ]
; r, q1 F; B2 W# o; o report total) H h! I( ^- h
end+ }- o; @0 L: E. d7 [- _& m- x
5 w m$ |+ [) D
to grow-grain ; D" y* `4 \' o8 |
if (grain-here < max-grain-here)
! e. O) Y& g! D- S: M5 O) B [ set grain-here grain-here + num-grain-grown
6 X, }0 [! a- V) f3 a8 X7 { if (grain-here > max-grain-here)
2 M- z" E ]9 g: Y [ set grain-here max-grain-here ]
8 |! _8 G! D# m* V) Q& w recolor-patch ]6 w+ v* \& U$ P. _
end& l: D) H5 q7 x; S( @
to harvest0 p6 ~8 \5 v% t4 t! O* j1 F" o/ q
ask turtles
G2 m( K6 R" W: N. e/ | [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]7 Y. f9 w. O4 F7 ~- n U1 g, q
ask turtles. ?4 z( @! h& r( g. `
[ set grain-here 0# E% e6 R) H% s0 b8 f# l
recolor-patch ]5 M4 N; c! p+ l' f' C0 k! K' h
2 n# [- V+ ?* R: v9 pend
$ x5 O, ^+ X2 V, ?; r1 ^5 R
8 F% n( \5 y. a7 Qto move-eat-age-die
; u; E, z9 _0 }. K3 S4 c" _3 ^0 z: F fd 1
( V! z: \( [ H; l, ? set wealth (wealth - metabolism)* F1 W2 b1 @9 x
set age (age + 1): q: ?" u4 g! v. J E; R. `
if (age >= life-expectancy)9 A) n+ U" j! V
[ set-initial-turtle-vars-age ]
/ e3 v$ G% A Z5 I* C. n: T if (wealth < 0)
# J2 |/ Q$ H" Z5 x* [9 i. f$ W" S [ set-initial-turtle-vars-wealth ]
3 Q& m8 i4 E* U. \- e3 h 9 q& R5 U2 M& p* J, |
end, f& i/ r# I+ J0 n1 ~% h- @8 ~
2 U6 }# M$ K( b& {4 s
: } G1 `" ~; o. [
to setup-plots
- U" m% D! j* k7 ?) \# Q set-current-plot "Class Plot"
; G: D) k! s7 S% ^! t d set-plot-y-range 0 num-people
3 J1 Z) j/ Z1 r" t set-current-plot "Class Histogram"
+ i7 H6 A" {/ y# Q1 r3 Y0 m% ? set-plot-y-range 0 num-people/ |" `6 P* P3 }
end
+ d* T8 V( @; d4 `# G4 y* Q
' A* |' T3 ?; V0 ]8 eto update-plots
A4 @9 s' R$ { update-class-plot c- w5 e* a3 X5 p9 ]
update-class-histogram4 H7 {9 `1 b- i) q) w
update-lorenz-and-gini-plots
" \6 ^" {- m1 z n" h( c+ x( Cend
2 H9 [) k& G( g" B1 b. O) m
( |% e+ {- O. P; M0 Kto update-class-plot
# Z" k& J+ D g' h set-current-plot "Class Plot") v! h; K; ~/ K% {1 f
set-current-plot-pen "low"' `+ a$ X; C; r: q
plot count turtles with [color = red]: d; w; v J( y g+ k9 [6 G
set-current-plot-pen "mid"
' R" E( t& N! q W6 @2 K plot count turtles with [color = yellow]
( W7 s: |/ W7 E% X0 @ set-current-plot-pen "up"
2 M5 V! a; @3 l& q4 r7 @ plot count turtles with [color = green]9 X" k: F" q" `* A+ n. F
end+ L# I( X* A7 \
6 S4 n+ J# L" ]- U: S8 o1 `; Q
to update-class-histogram
6 v' y% f0 Y( n5 ~8 ?& u: d* x set-current-plot "Class Histogram"$ G8 G! r" [ C5 u0 r* F
plot-pen-reset
. ]1 P4 F( t7 ~, B/ t1 Z/ J set-plot-pen-color red
5 i H7 s* n9 ?' X# Y plot count turtles with [color = red]' A4 l% ]2 s$ m
set-plot-pen-color yellow$ J+ i1 r( q2 l8 c' T
plot count turtles with [color = yellow]# }2 u8 s/ m/ d$ y: a& N
set-plot-pen-color green# S0 ^- F# k* m- X
plot count turtles with [color = green]+ f) v/ v1 U& U% o8 _0 q f( ?) ]5 K+ a
end C# @- z; L8 }; Z2 E7 s( r: \# F
to update-lorenz-and-gini-plots
4 c I; i3 f5 F4 S& T% A- I set-current-plot "Lorenz Curve"
3 t8 {- W0 F3 O( ]: E clear-plot
( a# w( G, Y. r U( [$ w0 L) r
5 {& O" @+ b' [ set-current-plot-pen "equal"$ h V2 w/ j/ q9 }6 |4 R! i. `+ a+ P! D
plot 0- p6 p. g+ i5 S+ q6 C1 Z: M3 ^
plot 100# C8 L* h' w& |! @+ T% I
1 T7 t7 W/ v$ y$ b$ D
set-current-plot-pen "lorenz"
) j, w; U8 S2 o8 o set-plot-pen-interval 100 / num-people
3 S' m8 N# ^/ G8 x plot 0
6 x) c% w: E" p0 r* V2 t/ q q8 L
9 [. p5 D& o+ {% R: v0 x7 ^1 W$ K let sorted-wealths sort [wealth] of turtles
( f6 g! c5 _! g6 L0 f3 Q let total-wealth sum sorted-wealths
- n5 ]% p/ z( o6 ] let wealth-sum-so-far 0
3 L6 P, {! _- g, g let index 0
, C9 s' G a3 w. p! G% V# O* E let gini-index-reserve 05 a7 F) G2 m5 V4 x e) U
( J. D) {9 u( T' Y |& { repeat num-people [; V' k( z, F1 \% d
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)* I" T0 k7 b* m3 R: v) t2 M
plot (wealth-sum-so-far / total-wealth) * 100
, f/ \4 H5 N% {. z: Q" }' w set index (index + 1) b$ p2 m( t" I5 F
set gini-index-reserve
& A7 ~; P1 J; K2 K8 l gini-index-reserve +
, i: I1 W$ ]1 D7 c$ V( V (index / num-people) -
+ `( N, n. A0 V& [& a, K (wealth-sum-so-far / total-wealth)
/ ~7 X* i" ~( n1 s1 K$ e ]( _2 o" w$ S) u6 D& e1 Y8 E1 o$ y
6 R7 ?( S5 x7 o5 T4 z
set-current-plot "Gini-Index v. Time"" g3 X0 N9 I7 H, ^# O8 c
plot (gini-index-reserve / num-people) / area-of-equality-triangle
2 J3 E* @% L- V- k Qend
" P" Y8 F! g1 r+ [4 c- @# wto-report area-of-equality-triangle9 h4 ]3 Z8 ^2 c( J
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)% @* a: c G& M3 G& k
end |