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
6 M0 F; U7 ]+ Xglobals" p+ s7 o/ ~. P1 d m6 ]3 ^) z
[3 |3 a9 {6 a2 j* J) \3 O
max-grain
' k% o* A( K z+ K
$ o; J$ O+ R) r( b]/ D- K ?9 d. u
: ~7 |" _2 r7 D" Z& M3 v; z1 j6 mpatches-own0 {, p' M9 G5 o% H
[
6 Z: k5 d# w3 j0 c grain-here
7 }4 {6 C- c5 z4 v max-grain-here
' w1 r- ]/ @ r' P `]+ B' I! f8 @# E( n* Y' I% o# h4 ~
7 k3 p* q% Q* D# g( a% R+ Mturtles-own
* H3 ]$ y) a/ k: s[4 ~+ P9 `5 D" \, |" l
age
1 ^: `8 S X# {6 M+ u wealth ( {) \# }* k% ?8 K+ F, }
life-expectancy
3 r* z5 H7 i8 L3 U1 h; m, } metabolism 7 e z H9 |3 I: i/ F9 u$ E% j2 y
vision9 @! T w5 l# G$ l- a: P
inherited 7 w" _5 b2 X5 b+ ?# D$ S0 a
]
; [( d/ G; Q+ i+ q% X
: v3 p- u# I; l h# u% D" t2 q% d' g8 t
to setup* z8 Q: d+ p1 ~7 B
ca
3 l ^+ u( Y8 E1 T; P/ \ set max-grain 50
- w$ _- }7 h: G- x$ E setup-patches$ B) W1 J3 N/ ^ a1 F1 @% U
setup-turtles
6 O: Q) g' b; T U setup-plots w7 a6 _5 X3 r& p/ p
update-plots
! O9 y( `+ a! Z- Zend
9 q" U; j- m! c2 Nto setup-patches
0 [& Q$ Z4 M, f" [0 v6 b ask patches2 ]/ r: c: O0 A7 I2 `& f* i) E
[ set max-grain-here 0
) v2 [& b: z) v' |( L. B if (random-float 100.0) <= percent-best-land
/ [( C r2 s) i, ^3 J7 }; Z( ]/ @6 h [ set max-grain-here max-grain8 C$ c, c' n0 D
set grain-here max-grain-here ] ] @, N( O1 k- Y: A
repeat 5+ \. i" U6 U% t$ s* z+ m% g& N
[ ask patches with [max-grain-here != 0]
4 Z1 ?. `$ u! @. ^' f S [ set grain-here max-grain-here ]) o! k9 c$ t; j( T- y: K) j
diffuse grain-here 0.5 ]
( i6 H# V# z) ^( j repeat 10( O& B Z( t' R- A
[ diffuse grain-here 0.5] ' z8 N+ w5 O- n* }: q3 t# u4 A5 x5 `
ask patches: m4 c5 X P' K" v' m0 a( A4 }
[ set grain-here floor grain-here 5 \' U( k; L! A+ H
set max-grain-here grain-here
/ n$ M W2 x3 R' X) O7 i6 X recolor-patch ]
% g! E4 I( _& K. b6 Q. Lend
- g" z+ M$ ^$ o2 {5 s# @$ [to recolor-patch
3 L8 b8 b' k9 A: v9 \ set pcolor scale-color sky grain-here 0 max-grain
4 G: h0 T: u( Xend2 h) m5 m: f3 E( y6 y5 f
to setup-turtles0 K' d( o1 | S V8 K
set-default-shape turtles "person"
. ~& ~# Z4 g/ u# s' }7 O crt num-people
. ]) N6 M3 [7 W$ l [ move-to one-of patches 2 M. b u+ A2 u' c
set size 1.5
% F$ F6 X; w; N; | set-initial-turtle-vars-age
* l% \# N# F/ Y: ?$ {2 Z) t5 e set-initial-turtle-vars-wealth9 y, B/ W6 c+ f' I/ |" g4 S* [ q
set age random life-expectancy ]% `. M& w ?$ W; K6 U
recolor-turtles o: m2 C; b8 A1 u
end
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0 j; B1 Q, z& @, \ ato set-initial-turtle-vars-age0 }4 A: @, I& B
let max-wealth max [wealth] of turtles
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ifelse (wealth <= max-wealth / 3)# g$ E1 o6 f; L9 j1 S, T7 K& E
[ set color red
* u. V. x# n2 i set age 0
+ f5 k' \& n& P. L0 x E' N# ~5 ^* G9 B0 h face one-of neighbors4
" Y, \1 e% V6 g5 `2 U set life-expectancy life-expectancy-min +
* D' o4 \% L$ b8 g3 Z/ ` random life-expectancy-max
; [- f5 m# I' P3 y! I set metabolism random 1 + metabolism-low
0 ` |4 w4 u4 n; v/ ]0 y% r set wealth metabolism + random 30- K6 t$ {% v3 s
set vision 1 + random max-vision
4 Q, Q$ Q! ?* h8 c& U U5 L" H" B8 O3 { set wealth wealth + Wealth-inherited-low ]
) C5 ]4 V7 H7 B$ m; ` h _' { [ ifelse (wealth <= (max-wealth * 2 / 3))9 g7 d) M' ]6 c0 K& K7 O, `* c- z. z
[ set color yellow % g4 t! y! b r' S
set age 0' f. n/ z% o, V) r5 v# M) k) q# z
face one-of neighbors4 % y! @8 Y& b4 r }4 w
set life-expectancy life-expectancy-min +' X- |7 j& U! \3 `
random life-expectancy-max + 1' K7 K( o6 p5 _. ^ B! L% j4 t
set metabolism 1 + random metabolism-mid4 \/ m0 i$ R" B0 A' h' R' H
set wealth metabolism + random 30- \9 |1 v# v; _& Y
set vision 3 + random max-vision- G- R. p# P! T4 F
set wealth wealth + Wealth-inherited-mid]
* u$ O+ B+ ^; W8 y8 B& ] B; C [ set color green
( k. c% w& A2 O, V set age 0
; a4 D! J3 [2 Q face one-of neighbors4 3 Y' w1 v- P( }2 q2 D6 H
set life-expectancy life-expectancy-min +4 a, b. S) A/ F# M/ O2 f
random life-expectancy-max + 28 X9 ^) s/ m9 P1 K1 U2 q
set metabolism 2 + random metabolism-up4 O0 k1 R, ?, K/ }. L) |
set wealth metabolism + random 308 h; p( d+ ^' S" U3 v! E& |% c: f
set vision 3 + random max-vision
: t+ c2 b- H' l0 i& p, ]$ j set wealth wealth + Wealth-inherited-up ] ] 2 y, J7 `, U6 f* T2 w' k
* C* Y( z7 n, c# _4 w$ m. Jend
7 \ }& K' M6 h- _6 q! u$ ato set-initial-turtle-vars-wealth' H: w6 ^+ c+ h! R* Q( f
let max-wealth max [wealth] of turtles& f. y" z4 n4 @1 @; I# n2 o
set age 0$ B3 h' w( a- I' M# n
face one-of neighbors4
0 P$ {# y0 x# g4 X set life-expectancy life-expectancy-min +
) w4 I- `5 ^9 a5 O& U* @: R9 {% \ random life-expectancy-max
: V: k3 s7 P* h# | set metabolism 1 + random metabolism-up
/ W3 W5 I+ H' H" e' W1 N8 s: K( f set wealth metabolism + random 304 j( N5 u) l! M2 J$ |
set vision 1 + random max-vision
! P1 s( f: p2 R5 eend" c+ q; H( K6 j w5 n
to redistribution6 H$ ^! X( x4 a8 z" G; e( w" p4 k
let max-wealth max [wealth] of turtles) k# d' W, m$ r7 |9 ^5 _" D$ B
let min-wealth min [wealth] of turtles7 t# N6 J7 G* w; r
if (wealth <= max-wealth / 3)
& E1 y6 T7 r. w0 \# r [set wealth wealth + Low-income-protection ]& p5 x, x* T# a* U7 h1 v$ G
end
5 E# E* [$ Z2 y5 k& A, t , M0 x- c$ w w1 a- ^# H# R' g$ K
to recolor-turtles
% Q( W+ c4 e/ Z$ t; | let max-wealth max [wealth] of turtles- W' N4 ` a# ^. B
ask turtles
1 Y1 g! P- U, S [ ifelse (wealth <= max-wealth / 3): ^5 @ a- q9 L, T) ]
[ set color red ]; Q8 I% y3 ^8 b8 `3 B- h9 d3 h
[ ifelse (wealth <= (max-wealth * 2 / 3))! F6 X( D; x% c* B- O
[ set color yellow ]8 D/ {) @6 F2 r4 d" x4 Y }6 f
[ set color green ] ] ]
8 ~# S- h- v% Z$ ~9 M! \3 r ask turtles [ifelse show-wealth?
3 X; f& d( g9 K8 _ [ set label wealth ]1 H$ e6 v5 I* b6 D1 d
[ set label "" ]]
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1 f4 @+ G7 m) ~1 S% F* ]5 C" d+ Q
to go
7 `9 f7 w; i' E( L. V. i. c ask turtles
% q5 N( d, F2 \: X8 d; s4 g: n; f [ turn-towards-grain ] * E* P* r, y, N$ a
harvest
3 ]* [ B* P k' A: e# Z ask turtles
! \) K( n! u/ _- g' G3 D1 ~' c [ move-eat-age-die ]
6 B( @% E8 C& Y# E/ v- i recolor-turtles
) t, N9 }) }4 z" e" R; A9 ] if ticks mod grain-growth-interval = 0$ a. i- R7 ]; ?/ W+ u2 ]
[ ask patches [ grow-grain ] ]
) y* y' v8 b6 j) K9 f5 C# O7 ], [ ' ^2 h# O8 j% ^- O7 V' y
if ticks mod 11 = 0; d: {/ F6 Y C% h
[ask turtles7 F: L3 _6 D- s2 V, N0 o6 R
[ redistribution ]]
1 O" i, ?6 g0 h; q if ticks mod 5 = 0! \: ]' |, d( x
[ask turtles
: X- W+ J2 A2 W. T [ visions ]]
; W; `9 R& ] m tick7 x: _+ e5 t$ R$ k5 n; X
update-plots
1 d* p, A, {3 C& Z: dend- v) t( S0 N Y
to visions2 {- D/ M+ L; c/ d2 n
set vision vision + 1 2 T$ g. A' m2 W
end" x$ M' b# \ s R: U d8 R* ^& {
9 _2 t; g4 B" E& z: V3 N% {
% X6 L2 j3 y, p2 f9 `
0 ?7 F. x: r4 Xto turn-towards-grain
7 @4 L: \" }& F( `" g1 Z set heading 0
' l. r+ M, }; Z8 i& f3 d let best-direction 0! C9 \; W" O( A3 i' ]3 j4 M) N. n
let best-amount grain-ahead. R; g4 E2 Y0 m2 ?0 |0 ?: {3 b
set heading 90* |& D3 e1 v& R8 i
if (grain-ahead > best-amount)8 G( K. \3 }5 z* n* u ^
[ set best-direction 90! P/ N, a9 v- U3 n* D
set best-amount grain-ahead ]% i# v7 d: _; }8 S% \ G I# p
set heading 180" s$ U% m6 X @! ?! y
if (grain-ahead > best-amount)
5 o5 b4 H8 h/ X1 ~* z1 Z [ set best-direction 180# i" a+ R. H7 h# I
set best-amount grain-ahead ]
+ u$ t; u D) o3 E0 m: x set heading 2702 A1 j0 o8 S6 F; p
if (grain-ahead > best-amount)
* @0 I9 o. h& R8 h, {. n" b! Z [ set best-direction 270
; I1 \9 D. f6 l: d/ p( I set best-amount grain-ahead ]" f9 F: r8 ?: \( v$ V
set heading best-direction
/ {8 f+ M7 [ P2 t% q& Lend
" n( p( k. Z+ v" L; Z T8 c, A# q; i" N! P4 @" `5 J1 f
$ h- z5 a: z3 X4 Z" F
to-report grain-ahead 1 I4 z3 M$ s& P$ e! j5 h
let total 08 x# F& N6 E0 {) j8 a4 O
let how-far 15 b0 h" a% C+ N; K4 `
repeat vision* j o2 _" h/ v& Q/ C
[ set total total + [grain-here] of patch-ahead how-far
: k& G3 }2 y$ R! o set how-far how-far + 1 ]1 ?' p% n M5 J }
report total, y, v! v4 G6 o. B7 ]# _3 g
end
; ~ @. j" a: n7 G# x$ | x
7 q. `2 T1 D W' d! B9 @to grow-grain 0 |& e: m' b& C+ Z$ g
if (grain-here < max-grain-here)5 j- A9 E1 Y& V4 [# x0 X) B
[ set grain-here grain-here + num-grain-grown/ P! L+ b! T5 V' g+ V' L9 t, I
if (grain-here > max-grain-here) 0 A6 x; N. H# }
[ set grain-here max-grain-here ]
7 d- E( T& C- b recolor-patch ]2 S' k4 l# D& r
end ]6 `9 r2 h( @+ e9 ~( y4 W; Y
to harvest2 S# o- \7 L2 r$ e% ~+ x+ Q
ask turtles
3 j+ E( Z9 {! A5 p( P# J5 m1 z [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
9 s, K0 O6 C/ v" r, r0 A" E8 E ask turtles, X+ i; {0 X% R* H7 d
[ set grain-here 0" ?8 G9 k$ m) I- G$ J( }
recolor-patch ]
+ p5 _4 e4 _# i3 F
) @! a' R- Y8 A5 lend* M: O5 O7 J% u! t S! Y
/ k0 c# w& `! e% l3 S Nto move-eat-age-die / p5 b2 S+ d( X5 i5 R: v
fd 1 i ], }, y# b% r0 _1 ?
set wealth (wealth - metabolism)9 {7 A7 u. c, ]/ {8 G
set age (age + 1)
: O0 Y i8 [+ Z6 U7 Q5 l- d7 r if (age >= life-expectancy)
% Z1 e. P6 x2 Z2 ^; p, c( Z [ set-initial-turtle-vars-age ]
& Y# o2 P* u8 \. m% W. D if (wealth < 0) j8 \3 w* J- a* l$ ^
[ set-initial-turtle-vars-wealth ]0 H$ R) j* O4 P% I% |
3 g! U3 v/ r* k; B& G/ p, J- pend
3 M [& [2 u( l8 L' J" P* n$ l* X
2 W4 H/ U& T Y- p( f& u( y
`+ m2 |* f* q+ z( Q4 `2 Ato setup-plots$ w' c0 N4 A1 z3 b/ g
set-current-plot "Class Plot"+ F4 g1 e- A% n# N+ b( f
set-plot-y-range 0 num-people" @, |8 i, P" L# E) Q
set-current-plot "Class Histogram"
6 N6 ~1 ?% o7 @4 h/ p set-plot-y-range 0 num-people# m6 ^5 L3 M" r
end
5 a5 b/ {' l0 y: R. E }# C- J' f9 v: ~ L; Q8 I! ?4 B5 m8 K& |& n
to update-plots
% {) C) [/ g8 S+ I update-class-plot; r, Q+ A0 w5 k3 H* o L: O% A
update-class-histogram0 p# X) _5 I, m4 U
update-lorenz-and-gini-plots
& B( a, d* C! L2 p. [: m- Cend; [1 p! o9 V) P/ A5 j
1 `; O. i4 W( Lto update-class-plot- A" Z% R3 E" V& \7 e
set-current-plot "Class Plot"1 k6 a# M8 A* J- T2 B9 E9 A
set-current-plot-pen "low"
) U: g) h$ s5 x$ `& _ plot count turtles with [color = red]
0 Q3 S1 X* L" H' s/ j/ V set-current-plot-pen "mid"* L/ |3 a# K4 x7 F& C, K b7 W
plot count turtles with [color = yellow]5 C0 [! P+ c- l" [- q' a0 Q
set-current-plot-pen "up"9 I4 N( ?0 y: x8 e& s- @6 B) s2 l: w
plot count turtles with [color = green]) ^/ E" y C2 [* s6 z7 d- E
end
( l7 b- z3 g5 t' f; d* u9 E0 ~+ ^4 ]. s& H
to update-class-histogram: S( O$ S8 A6 ~( Z% w% M
set-current-plot "Class Histogram"# @# b6 T6 F4 y- A' P! }5 e( o
plot-pen-reset7 F6 s" r ?8 |
set-plot-pen-color red/ ^/ f2 u: O; R9 Q6 \
plot count turtles with [color = red]- Q; |5 h! `3 |$ e0 r8 ~9 d# U
set-plot-pen-color yellow
# s) M6 w- m ` plot count turtles with [color = yellow]3 [/ X: e3 i) K: ?& l
set-plot-pen-color green: L. I( ?2 o H+ Q; A7 v+ a# z
plot count turtles with [color = green]
0 W) K7 M9 u T! Send
+ X! o7 B( K% V' d$ pto update-lorenz-and-gini-plots
, v7 A7 M/ k9 L' [0 Y( x. k" Y' ? set-current-plot "Lorenz Curve"
) O6 {& p7 P% r1 ~# ~( c. O clear-plot* O/ [8 P& L; Q- s! `
3 ?$ p, A, r2 h9 D) {/ b1 R
set-current-plot-pen "equal"
8 X) h; |6 R" g- ~' _ plot 0 ^/ l0 N$ g$ k9 n3 O3 `
plot 100
# h. _0 S! p9 B; \# Q% }
4 c) h- I7 u5 b* G; b3 s' `; F set-current-plot-pen "lorenz"+ ]3 o, M. D- @
set-plot-pen-interval 100 / num-people2 A8 N o i3 b: S, a
plot 0
* M( P" ]1 y2 A$ C: V B4 |0 w) w/ I% g# Z- {, ~
let sorted-wealths sort [wealth] of turtles
) I7 {3 B( o8 K! b( M8 Q let total-wealth sum sorted-wealths
$ p. x$ M5 j$ q# c2 o let wealth-sum-so-far 0
& ^ _8 w% ~1 K$ {8 J- m/ T let index 0
# ]6 O( q1 c8 `/ [ let gini-index-reserve 0
; n4 q3 @$ F! B" P @" v, o/ m
1 Z& ?' d" Z5 I! s repeat num-people [
. r; Q: a% Q& [- l& q. D3 \( l9 s1 G set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
$ B$ a9 {5 ~9 h5 @3 i& n) R plot (wealth-sum-so-far / total-wealth) * 100
( Z3 F# }5 I5 V& L: C& x$ T set index (index + 1)
9 m5 ^8 L; o9 z- c% o, ^0 N- t: @ set gini-index-reserve
. H k- t& T$ i( `0 J. h gini-index-reserve +* \5 z& N' E. x3 k
(index / num-people) -: l) ?, N6 x' i
(wealth-sum-so-far / total-wealth)2 T9 \# `2 F5 d/ X* M
]
& O& l% B1 R* G2 @& k5 G
) c( { E1 z0 x* T) R set-current-plot "Gini-Index v. Time"
w1 z8 H: I3 |: Z( U: W0 A plot (gini-index-reserve / num-people) / area-of-equality-triangle
1 f7 G% x" M9 s9 g9 w1 p# v5 I1 oend9 U5 p/ [- b( s# q* W
to-report area-of-equality-triangle
) C5 k2 Q% d" a+ o; ?( Q/ _ report (num-people * (num-people - 1) / 2) / (num-people ^ 2); }" g1 `/ ^5 F3 H: d; X
end |