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$ ~0 ^! @" G/ L m
globals5 C: W' w4 ]' d- L; X4 Y+ z% J
[0 o0 E" h2 x6 z! h& P+ f
max-grain & j4 Y1 |- Q1 `5 u
4 _: ]; @7 L( |% o]6 T& t) Q1 D9 T6 Q& t
/ F6 K8 [ N- {patches-own; ?5 F; x( f( _6 _4 V$ h0 u# g9 c
[- Z# a$ L- X: c- I
grain-here 8 @) `# Z! J5 k$ i- p
max-grain-here 7 ?& k$ X( [: Y& H+ `) A! P( D
]
) g3 F3 {8 R6 I( w' b. n
# V4 Y9 `/ r/ J- x& l0 eturtles-own
: ?7 n/ v0 w$ l$ R[
7 r9 h: f8 C0 I; z3 m/ t age
) I/ @6 P9 o, p wealth
1 O3 _' y5 L4 d; Y% q, f life-expectancy 2 }$ h4 a! C$ V% L' @$ V
metabolism 2 \$ q1 ^: z- I+ P' a' _- Q+ A
vision
6 k! @# j2 y# O: K3 h9 I! c! F inherited 7 G+ G6 o' L2 B
]
, b; G! s( s8 b% k+ {" z5 q5 ~, r5 _: h; T l0 @; l
4 W: d0 Z$ T% N r1 u$ O. d) Tto setup
! q( A- r) R8 \# [8 I& l- \) i1 J ca1 U0 q! x2 ~( E5 R/ H
set max-grain 50
' A5 _4 i T9 i! r) s0 h setup-patches
i0 j+ j9 C* o b$ W setup-turtles! V9 R; D$ ~- n6 f" b6 N
setup-plots6 M( A* B2 }. z& M& J
update-plots) [* W- U- Q9 K6 u2 K
end
( n4 z: a1 v5 S/ U( `to setup-patches
! p* f& {' _: \4 S P4 J$ q ask patches7 ~+ s* M5 _7 h3 K
[ set max-grain-here 0
0 z- m0 z% S, d- K/ c if (random-float 100.0) <= percent-best-land$ Y+ E/ |7 @* Z) Y. c2 ]
[ set max-grain-here max-grain$ K' U! F: [( u% r [
set grain-here max-grain-here ] ]7 _8 _* i1 c" d, E# E2 t, C J5 Q
repeat 5$ Z0 ]( \: B6 U1 V! P
[ ask patches with [max-grain-here != 0]
+ @/ b% s4 N# k: h: N [ set grain-here max-grain-here ]
* o, r, T4 E, C+ F! [; l$ h: q |1 W# V diffuse grain-here 0.5 ]1 `. S1 l& S5 k! X1 z7 c% L
repeat 10. `5 M* a0 C- I" r" G
[ diffuse grain-here 0.5] 1 ~4 o9 s3 q; |& C6 w" c3 a9 ?
ask patches: y( C) `' v' e- _% H; T
[ set grain-here floor grain-here . J, _9 h" @! v- f! x
set max-grain-here grain-here 8 C! g8 d4 F0 L8 _
recolor-patch ]
& h( U8 M! M6 m' ?end
! r, _/ j( P! ]4 `: s6 Bto recolor-patch
9 J7 T! D2 d: A& i set pcolor scale-color sky grain-here 0 max-grain/ ~ e3 r! c/ z# C" U9 `2 F
end x1 i8 a9 ^5 O
to setup-turtles- b3 z4 k1 m) R0 ^/ N
set-default-shape turtles "person"
4 a" Q$ G3 A" N3 u$ `4 O8 g: ^ crt num-people* z7 V& a' _7 z
[ move-to one-of patches
# E; o8 j3 C& R4 a: n' ? set size 1.5
, k4 f W) r) C% T* [+ | set-initial-turtle-vars-age
' V( z0 _$ e3 ^8 o, ~) D: i set-initial-turtle-vars-wealth( a/ k$ T0 M8 N' A5 N9 y4 I) f
set age random life-expectancy ]
( o' H- q$ t+ A% W recolor-turtles
6 E8 ~0 C. h$ z* Uend
4 t/ T7 E. B8 H) W$ G1 P, k- A) d9 `2 G7 `
to set-initial-turtle-vars-age
, d0 Y6 `# @9 J+ M let max-wealth max [wealth] of turtles
- E6 \# D: a. i% i" \- W& w7 x/ Q
. n# l7 r9 w0 e: D3 g. Y4 U: w* d ifelse (wealth <= max-wealth / 3)( _/ p) U5 [( g# g) w8 J4 a, G3 l
[ set color red , t! q' Y8 B9 v A a1 |
set age 0) L( x$ L$ c5 |0 r, u
face one-of neighbors4
' i A, z, @( S( y set life-expectancy life-expectancy-min +* _, k( R8 @+ |
random life-expectancy-max ' Z& F) J0 b; X5 C) w5 G, D
set metabolism random 1 + metabolism-low+ c: y; H5 D ` ^
set wealth metabolism + random 301 [! b3 \$ n$ a
set vision 1 + random max-vision
8 m- G; x% P' V; C8 h, n* ~ set wealth wealth + Wealth-inherited-low ]
# n5 C" b8 `$ W+ G5 n" \) X [ ifelse (wealth <= (max-wealth * 2 / 3))( j, D, r4 N8 N, X9 E! M$ h0 {1 E
[ set color yellow
# [' t9 E( E# @; {% E1 b L5 U set age 02 |& j1 a1 w5 V! ~. g7 {( S
face one-of neighbors4 - Q/ [7 Z; w: z! j% v3 T
set life-expectancy life-expectancy-min +
a+ ?) R- L/ y/ e: V random life-expectancy-max + 1* f5 s: t0 C! s" C
set metabolism 1 + random metabolism-mid
; q. ^! b! I% H+ a4 ? set wealth metabolism + random 30
) g9 S$ t, n/ p set vision 3 + random max-vision3 F" J* ?3 \+ h
set wealth wealth + Wealth-inherited-mid]
w6 f% X2 u+ M [ set color green ; ~$ o, }6 }- \( I, E* a
set age 0
4 ~ g0 F4 a) p face one-of neighbors4 " k$ V' n3 _: N
set life-expectancy life-expectancy-min +
7 I$ A1 L4 F" j7 v2 Z" P K random life-expectancy-max + 2
: p- b" s6 n B set metabolism 2 + random metabolism-up9 A8 u' {& F* M
set wealth metabolism + random 30( d: v! f9 {; G# s0 I* r' A
set vision 3 + random max-vision
' v' y! s8 C/ k) j7 O1 e- U set wealth wealth + Wealth-inherited-up ] ] % q) h0 `2 K0 Y- r) D" J. T9 d0 z" c8 W
7 F4 ]+ K7 Y1 kend/ W1 o6 i/ Q' a
to set-initial-turtle-vars-wealth
; D4 y* @4 R @ W let max-wealth max [wealth] of turtles
+ ?' c7 o" f( F+ X- L8 f: F set age 0
1 v; s- s9 A9 I& z" J+ i# q face one-of neighbors4
# q2 V X- L8 M2 Z* { set life-expectancy life-expectancy-min +8 C, t. b; A# q
random life-expectancy-max + T% m) a$ d. k
set metabolism 1 + random metabolism-up) h# @* [3 t! l* {, z' H, L1 W5 }
set wealth metabolism + random 30
) `1 O- p" s, ~+ ~! _, L. Y& T) r set vision 1 + random max-vision ' L% I A! b% Q7 H2 y+ p1 E
end2 C+ s4 W6 j4 Y0 [5 d
to redistribution2 ^4 ~3 I7 p1 t1 ~
let max-wealth max [wealth] of turtles+ Q# F& ]1 P$ o7 m3 w+ s6 b
let min-wealth min [wealth] of turtles1 @8 c9 a2 m0 Z/ N/ q t( y
if (wealth <= max-wealth / 3)6 k: v4 ?' J" d+ T) i/ }% b
[set wealth wealth + Low-income-protection ]
$ ?. f7 S7 w/ l$ Y* N9 l1 \% ]end t; R" p% s f7 ?3 U7 l
- F% P. z2 J% j8 X
to recolor-turtles
( X0 U h! C) f5 w6 ]* j let max-wealth max [wealth] of turtles7 h+ Q7 R$ w9 a
ask turtles; i( |: I& |1 p' U2 N; e8 G- H. i
[ ifelse (wealth <= max-wealth / 3)5 p* r2 \$ B% M2 m' {3 {
[ set color red ]
- |3 @+ C: t. ]) z4 G/ B0 p [ ifelse (wealth <= (max-wealth * 2 / 3))6 e6 c V m+ j9 z: l4 ]$ u
[ set color yellow ]! K) Q7 w" D8 |: v% P% |
[ set color green ] ] ]
0 G/ G v7 t6 U ask turtles [ifelse show-wealth?: q- O& G Y$ y/ ~4 S
[ set label wealth ]$ v# P9 ]- L1 a- r9 m3 L
[ set label "" ]]2 I. t8 q) |: ~3 S
end
" C* Y2 \; U6 W+ t5 O
7 K$ k+ R' [: Z0 Gto go# q! C& a4 J# k' D8 S3 r0 g
ask turtles9 `: C: [7 p; ~
[ turn-towards-grain ] + M$ W4 l& F( N7 V$ {: ?, l. t
harvest
1 i' }/ }/ k3 }) [* E8 K- q3 G ask turtles
" d4 J: e; L1 R% l6 P; } [ move-eat-age-die ]
0 S: I& ^4 x$ _ recolor-turtles& G( h8 c8 R4 R2 Q9 y
if ticks mod grain-growth-interval = 00 A; @8 C2 \* o G1 _
[ ask patches [ grow-grain ] ], P# c2 g/ R: G5 Z
" ?. k+ B/ l, f9 ^. F3 Y/ ]
if ticks mod 11 = 0
1 ~' Z1 u$ Z2 C6 V$ s& C/ u+ W2 } [ask turtles
) J4 d3 R! N* ^$ { [ redistribution ]]
4 U+ B6 t# M5 o8 ~ if ticks mod 5 = 0
5 q. I0 l5 j1 C G# @5 ` [ask turtles
# q/ @7 |! [, ~* Y [ visions ]]
0 @$ H& Q8 d! R- J, c! K4 r: ` } tick
% \& K6 D. N6 E! E& E+ | update-plots
8 l0 B5 S+ g3 C# H, M( yend
: n( H/ V D- w* v/ Wto visions
9 K! T$ N( ^- X F0 B; \! B set vision vision + 1
4 d6 A7 i; j6 Qend' ^6 i, c: m) x$ M1 s
2 L$ _, F; B7 }7 t* T/ L0 [/ c- q8 f2 L6 l
j9 l( `! l6 T+ {+ o8 h8 t% {1 Tto turn-towards-grain
: [7 x! ^6 z" m# H) { set heading 0
+ C4 z, d: s" C; V! U: |9 n1 Z1 G let best-direction 0
+ e# [ D; k1 g- ?5 \ let best-amount grain-ahead
. U( m( p; z9 p0 |) t4 ]1 s set heading 90
2 u0 P) V- @3 X" ?' c if (grain-ahead > best-amount)
3 B+ n- X+ x/ ]4 U* r [ set best-direction 90
+ b! z7 ?% R# y; C8 M set best-amount grain-ahead ]
+ d9 F; @8 T/ b) `1 i$ P/ @+ Q, T2 Y set heading 180
- e& h7 s7 ]8 _3 t6 s if (grain-ahead > best-amount), `1 Y. m9 |+ d. s; p' F
[ set best-direction 180
1 d9 k- } ]; a ?* |4 o set best-amount grain-ahead ]
& x2 _ Z9 o! N; [' F. K. Z set heading 270% {* C" Z& d7 K/ ]
if (grain-ahead > best-amount)
4 j5 J& h( O5 |" R) l1 m" v9 m [ set best-direction 270
) e$ F: T) h3 X/ I* ? set best-amount grain-ahead ]
( x3 j4 o' u4 N; I! Y set heading best-direction
( l( Z3 G7 L1 B/ R6 ]3 H& e: ^end
5 f1 i8 F6 ?: C4 t" |0 t6 [* c6 E" _/ d( g
! _* s2 X* @- k' _# u+ E# |4 _! Mto-report grain-ahead
1 `, j7 _2 @6 W4 B. ?2 u; ] let total 08 d. \! D7 N0 O7 w5 b; g {& `
let how-far 17 D/ U& R1 q; a& w) v0 J
repeat vision
6 A) ?7 p8 |9 |2 } [ set total total + [grain-here] of patch-ahead how-far- Y8 ~; i" y- F, z0 h
set how-far how-far + 1 ]% V6 y( S' k' }9 i4 c
report total2 i9 k5 ^. n. e- |; c
end
1 p7 i* q8 J. z% V# i( F3 R& w% b4 f8 `
to grow-grain
1 G1 X/ J! H1 i D3 R5 ] if (grain-here < max-grain-here)
2 W8 @, r# c- ?' e [ set grain-here grain-here + num-grain-grown2 W0 L$ a Y, D2 L$ u4 R2 {
if (grain-here > max-grain-here)
, \8 y; e) W$ p- D! {( d [ set grain-here max-grain-here ]; Y1 y2 M- y" E2 n/ Q, c" n
recolor-patch ]4 [% B" I/ e$ I0 r
end) ~4 m* a% _6 Q4 H% z8 d
to harvest7 B6 l2 a: Y0 w
ask turtles# M$ }/ Q* t6 y/ }+ G& f
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]- Y3 O4 l' x3 b; a. X
ask turtles" o2 W0 M$ r) Z+ p2 Y3 J3 O
[ set grain-here 0
: W/ _5 ]6 k: O6 z r# {1 h recolor-patch ]1 V: B" C4 M, ^6 w4 ^6 a% X9 w: _
D! e1 [" o" W3 f W! ^
end0 a3 O, g$ o) B5 C$ b
1 F7 |/ U" |* v$ j$ D6 n4 P3 _' _
to move-eat-age-die 0 _ ~+ Q; J7 I8 J+ w
fd 13 k4 i4 |$ Z( G% @5 q; [
set wealth (wealth - metabolism)( G6 i) p) a; I1 X t$ C3 }" L
set age (age + 1)
4 h; k+ [. |3 m- K- A& G if (age >= life-expectancy)2 |7 U- p5 Z' u4 ~8 W9 l
[ set-initial-turtle-vars-age ]7 @& m# e5 U3 `2 P: n) u' K- E
if (wealth < 0)6 a+ i/ [5 V9 @
[ set-initial-turtle-vars-wealth ]8 W7 R' b; w$ ?/ x9 o! ^& O# \
) T4 [$ z. q& J+ G! @7 f+ {
end
* n( G6 c$ h$ H) _: t5 ]+ x' D7 ?9 t/ X
4 j: z3 P6 S. Wto setup-plots' ~. A* |2 _! h" s
set-current-plot "Class Plot"/ @1 b; c1 w% P
set-plot-y-range 0 num-people5 j9 o0 h; J# d& S( S/ f w
set-current-plot "Class Histogram"
5 p1 \5 V) c2 G- _3 x set-plot-y-range 0 num-people
( _. f: Z! }# dend
+ A( w( K8 }6 |' E( y0 S
$ p7 T; d+ W Q1 b: h8 Z6 Wto update-plots$ ?# D" i* S L1 a/ @
update-class-plot# S. d: z$ i7 J% e
update-class-histogram
5 Y9 g; q) a9 g) O( R update-lorenz-and-gini-plots5 m7 k8 v7 U; E" E% D0 J0 a) n
end4 V: E" X7 T! A0 L' c- y
. R6 V% h& K. b E7 C
to update-class-plot
2 S+ \3 Z% |2 e4 [$ ?& B0 d( ~' I set-current-plot "Class Plot"2 E. q. i7 D' `9 S; q
set-current-plot-pen "low"
" }" ^, v3 z( V: F o1 x+ I! u' I( O plot count turtles with [color = red]
- r9 K3 k3 U, |* m% D set-current-plot-pen "mid"! Q" a3 r; s5 o& Z( |- R
plot count turtles with [color = yellow]
2 z r/ ^3 \4 C! B" ?9 [7 B set-current-plot-pen "up"! x% ?+ E* v7 c. s1 @- Z3 E% a
plot count turtles with [color = green]
3 Y3 p5 a" A" R1 `" jend
- _2 [8 p v. @6 X0 ?$ U
- d3 H+ C0 N" z: Oto update-class-histogram5 ] g5 I) s) ]6 E, Q' D( [+ l
set-current-plot "Class Histogram"
8 u7 L4 S6 ?3 o$ k$ H plot-pen-reset
6 M3 ?6 [: a4 c0 T set-plot-pen-color red6 x/ a" Q& N- H+ x+ C1 n8 z$ `
plot count turtles with [color = red]
; I9 i* U+ \$ o; t8 z& ^ set-plot-pen-color yellow+ Y# f+ O. _. w5 O
plot count turtles with [color = yellow]
6 ~/ B* P! N* ]$ H- P2 ?& Z+ b& z set-plot-pen-color green
7 N3 h$ a) N" V plot count turtles with [color = green]2 T& B7 }+ A) r( A7 c( l
end! i# h$ V* U6 Y- Y8 ~4 ~+ R P
to update-lorenz-and-gini-plots
- a7 z C) r1 E$ O# S# J& P# b set-current-plot "Lorenz Curve"$ B! @* i$ M) S5 P# J; P! Q* H8 p
clear-plot! c. J- m- m" p& m, S7 E$ h5 r
8 L& G- f. h2 Z7 \/ w1 W9 z" P set-current-plot-pen "equal"3 p; B" U& ?9 a5 n
plot 0
' v8 L- ^% p* G% x( b plot 1001 A7 R: h. S* L1 H" P% t
# C/ \# h; s2 V3 l$ E/ |3 `
set-current-plot-pen "lorenz"
- q7 U8 W( B1 N7 X+ M, ~ set-plot-pen-interval 100 / num-people" R' [4 j _* _& o9 q& T1 @
plot 0
l2 |: Q4 h& F3 a" g- X: m1 ]( T: j2 S0 d: ?
let sorted-wealths sort [wealth] of turtles0 F; T, D1 j7 G
let total-wealth sum sorted-wealths
* A3 ]* x9 V3 J( V/ w2 |- ? let wealth-sum-so-far 0
/ g1 {1 _: i) m5 \' @, H let index 0( S* \, ?4 e/ n' u+ u
let gini-index-reserve 0* I& G+ s% i/ o
, j+ y e! T T" r- ]4 f# W7 m
repeat num-people [
. x5 \+ W+ J4 }% i3 L, M set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
$ L* W2 ?' m y$ i plot (wealth-sum-so-far / total-wealth) * 100% X1 K5 N. ]% r" z% f. Y; Y
set index (index + 1)
( _% W# e, d# [- P0 F set gini-index-reserve& o1 n! B) `9 b, J( ?5 Y/ X
gini-index-reserve +
4 `$ ~* w* @' H6 P7 Y (index / num-people) -4 x9 w! @9 Y k
(wealth-sum-so-far / total-wealth)/ z* W! x* D$ S5 q. c) p
]: I1 X6 s" L: f @
4 O# m% m/ j: j3 G set-current-plot "Gini-Index v. Time"# \$ p7 p; h7 z7 @
plot (gini-index-reserve / num-people) / area-of-equality-triangle
, ~$ T% r" B1 aend- n# h4 y }+ ?. W
to-report area-of-equality-triangle4 c/ X+ _+ J1 K$ R
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)' P2 @# l% Z1 z/ A6 Z7 k
end |