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 \' r1 b' v9 T. S7 dglobals5 q; X$ F/ R2 {1 y5 g
[
4 t/ {+ v9 Q! P max-grain
3 q5 O9 u- K4 ]' u& f* W9 F0 x7 |- m, r
]
# [7 \8 l0 _; ?% Z: j
8 o+ V0 x- O% ]' Tpatches-own# J3 u* _4 y! q: b
[- d0 U8 y% B' H( R! i9 m) V6 a
grain-here - K7 u1 s, ?% m+ Q3 V
max-grain-here
, m6 c+ T+ D3 X- A. F]
& v; T& x$ R- z% o6 Y" ^% [7 r" f5 u. x, K+ \
turtles-own5 x% |6 V0 a; W' \+ {5 V* A
[
9 Q& x4 I! h4 e" F$ F# B8 w age 3 N6 B1 k! |+ \0 @2 Z; e
wealth
; }5 A- T9 F( x$ g! I3 ` life-expectancy 2 |3 L A. w# e q5 m; V0 H2 G% X
metabolism 1 A3 [& [5 c% e1 h2 x8 v
vision F. [+ s$ k: C7 I4 l- k* ^) W i- [
inherited 6 T6 s$ N1 N8 k2 c; J# P0 H/ F
]" l1 b7 f9 {+ D f6 g
' a" C# _ H4 j+ f9 v) \, C, }6 H- d3 [7 ^' C
to setup
3 l6 J# ~) }4 @% H) c0 F: l, n+ r j ca( v" y C2 I) i, R$ V7 K2 N
set max-grain 50
: L6 z% w, e* r U0 C) X setup-patches" J9 ^& A" _" @0 s: O
setup-turtles M0 J. d0 m3 q( m
setup-plots
6 E3 H# M) _( \- X% n2 f5 Z! @0 T update-plots8 j' C/ z8 x1 ?( E# j" B
end4 @* |( ^ X% X0 _
to setup-patches
! y; N6 E7 |1 v1 W' v% q: P ask patches2 S( i$ ? }9 i7 @+ c) f8 b
[ set max-grain-here 01 L: P( D: i2 m0 u5 T
if (random-float 100.0) <= percent-best-land
7 [, ?8 y/ T: s) S/ _" \ [ set max-grain-here max-grain* O$ t& _+ s" L7 W! B; u
set grain-here max-grain-here ] ]/ V! j# Y0 D0 Q2 x: f
repeat 5
7 @' S# g* {$ s [ ask patches with [max-grain-here != 0]
) S2 d, P4 |( G4 I& h, j [ set grain-here max-grain-here ]4 x: T$ p; D ~% Q: c* M
diffuse grain-here 0.5 ]
" I- i% {3 p; w9 ` repeat 104 a9 g7 E. P0 s! ?+ x0 m. K/ ?
[ diffuse grain-here 0.5]
: f. W% [/ n" u9 A ask patches* K, [' N( U9 s1 c. z7 Y, T
[ set grain-here floor grain-here
' d( R2 Y6 z7 o- [ e( I3 v8 j7 i set max-grain-here grain-here ) T( g: j, |6 t, t' o# V" J u
recolor-patch ]
7 ~# l2 h5 O% H( Q, k. B' W: Lend
2 l7 T2 ?0 F: Y. J0 ?- ito recolor-patch / w+ Q( j }/ J+ P
set pcolor scale-color sky grain-here 0 max-grain- v4 k& S, U. w2 H0 G6 s$ C8 X( q; _$ }
end1 W: p. V- [: C0 [9 ]: h }3 M
to setup-turtles) ?: b r5 T% h0 w
set-default-shape turtles "person"" V' `- o" ^( N+ W. Y4 v# V& y
crt num-people. ^7 T* S! u/ K7 o" u
[ move-to one-of patches ) h% j3 Q9 z& B; C. U% Z6 a
set size 1.5
9 n5 n: {% v* ^# J set-initial-turtle-vars-age: p! O3 A0 i. Z9 [0 U1 {/ [
set-initial-turtle-vars-wealth: f% o v8 a" v' ~9 L
set age random life-expectancy ]
& N: m" m4 p+ M' x! y) p recolor-turtles
7 e& K9 q$ W8 y$ yend
3 E9 Z+ r- @! C- F0 U
' W7 d9 Y+ w% H$ }+ Pto set-initial-turtle-vars-age0 r) C2 O' [: x3 {
let max-wealth max [wealth] of turtles
2 ^1 }; U" ]% \1 l b
' c0 P; u2 v. k7 a ifelse (wealth <= max-wealth / 3), P4 J: ?7 R7 A2 t3 @& O
[ set color red 5 `- z8 T7 s) Y- ~7 B8 j5 h
set age 0
8 N1 T+ R9 N2 E! E; G8 R! s face one-of neighbors4
, B v, j: I& E: Y5 a set life-expectancy life-expectancy-min +
0 Q. g! n( Y. N1 I2 w: E random life-expectancy-max + D& `5 ]9 f7 v/ \' S
set metabolism random 1 + metabolism-low
) i) j2 u. M. _2 T! O& u7 L set wealth metabolism + random 30
8 T0 I4 E: S8 f) C Q f/ { set vision 1 + random max-vision0 L/ ^1 }8 e. m* r* a5 t
set wealth wealth + Wealth-inherited-low ]% M6 |/ b9 z8 A' G Q9 k& ~
[ ifelse (wealth <= (max-wealth * 2 / 3))
8 g8 z6 G, `- ?2 m- e4 c" ^8 H# d6 v [ set color yellow 8 u7 G: E4 c- v% j7 x! } W/ y
set age 0* r, L9 y7 ]. r( V& J
face one-of neighbors4
! x" N, F) N% w/ h' k/ \! B# n set life-expectancy life-expectancy-min +
3 s- |3 P1 t( Z2 @- S( q0 M8 @$ c random life-expectancy-max + 1
) |5 |& n, _2 W5 u2 |- W, E. g% C8 A set metabolism 1 + random metabolism-mid" r3 Y+ ^8 c3 `& N/ P. o+ ~
set wealth metabolism + random 30
( a! d ]2 p. z: z% G! L4 }& t: R% c set vision 3 + random max-vision R; F2 B% a3 o4 k9 i
set wealth wealth + Wealth-inherited-mid]. P" E# E: f# n) S, Y8 f
[ set color green ) c! F7 r; g* C5 F
set age 0
4 z% y& e, T2 L2 d1 J. Z) h* W face one-of neighbors4 : O% w) J6 t: s3 @/ U3 e
set life-expectancy life-expectancy-min +
+ N9 ~$ P, t( I0 A' Z, w+ X random life-expectancy-max + 2
6 v' e5 K/ a* p3 x$ D h set metabolism 2 + random metabolism-up( O. j& R' v5 m W$ }
set wealth metabolism + random 304 p9 y: n2 F" w; N& {
set vision 3 + random max-vision
% s0 r" E' a) K3 L: @ set wealth wealth + Wealth-inherited-up ] ]
: |9 o& t" y* g) v
, P! `5 g" z# T& D" ]+ }end
- l2 ?8 b3 ~( ?! G4 N" D( yto set-initial-turtle-vars-wealth
2 V" x9 G9 z+ D ^1 T6 ^' y let max-wealth max [wealth] of turtles) C7 G: i& U2 L( P" ?
set age 0
- ~/ a& f+ p; q: x+ E8 y face one-of neighbors4 7 L7 J2 x+ l# Q, |; e7 t# |0 Y
set life-expectancy life-expectancy-min +* c* B+ Y, n% h: A1 \! F- ]
random life-expectancy-max 9 `: h: ~+ H* U* e% l8 H
set metabolism 1 + random metabolism-up
- D" R/ l4 O3 l9 t. W- O- L set wealth metabolism + random 30
6 S" k( a. K; W% K; M6 T2 w4 n' s set vision 1 + random max-vision
) m# a, W5 I+ Dend' `! l; }3 z6 \3 t4 U& L
to redistribution
# T" ?( O4 t1 p \$ ^let max-wealth max [wealth] of turtles' E* M2 b4 [2 H- s, w+ f+ Y/ b
let min-wealth min [wealth] of turtles4 m& U. C# @( |( l! I
if (wealth <= max-wealth / 3)
h/ \9 s6 N* f) |, |8 X [set wealth wealth + Low-income-protection ]# q" N0 o! ^1 R# B3 b y2 B- P' I
end8 t: |' |! o3 w& x! H4 n" ~
! I7 t1 n$ g( k* ^* J& D
to recolor-turtles
4 z3 I! F. ~* p9 w5 D1 ? let max-wealth max [wealth] of turtles
' _* r. |$ z% [% m0 g2 }; k a; \ ask turtles+ e( U5 }$ X2 P2 B- R- W$ L
[ ifelse (wealth <= max-wealth / 3)6 _3 \! Q% a; n: t
[ set color red ]
' o! V/ G: W& z- f9 P$ _ W2 W [ ifelse (wealth <= (max-wealth * 2 / 3))4 O3 [5 ~2 q. R+ C2 N4 p6 |$ |
[ set color yellow ]
& F8 {: _8 j# ~0 K- [7 ` [ set color green ] ] ]9 T8 d# T% x0 T3 F: U$ t# F$ v' q
ask turtles [ifelse show-wealth?! Y( }+ \9 q! C& e9 ]( t
[ set label wealth ]
) G' }1 k, b9 H) k( w {* D [ set label "" ]]# K. ~! J4 x6 k: k
end
' ?/ }7 ?, F/ e' Q- z5 T; q: ^
: s6 A6 _* b* P7 Uto go
* Y) P( N2 ~. d5 v' [0 y$ O+ Q ask turtles
8 K0 ?8 F9 [) B" ~1 N& S. g [ turn-towards-grain ] 6 n! j5 e) D) h& n
harvest; I6 u/ F$ p$ ^$ y" @
ask turtles
! N+ Q- ]4 H/ x$ U [ move-eat-age-die ]$ I; L( Q$ V; e2 u4 W
recolor-turtles2 A; S3 L( c9 e; }5 q
if ticks mod grain-growth-interval = 0
& F0 q+ V$ W5 Y% A [ ask patches [ grow-grain ] ]7 ~# U9 t6 m5 M; E |# Z
1 J9 f6 F# f; X8 D if ticks mod 11 = 0
" {0 X, r- Y0 r- Z* t% y [ask turtles
9 i B3 q. U3 q1 F7 Q4 K1 \ [ redistribution ]]) y0 y8 E6 {* M9 J
if ticks mod 5 = 0
3 v% I" G0 z3 T- G$ v [ask turtles
p! B8 t, Q: B0 H7 E4 ^ [ visions ]]
5 e+ A5 v2 k/ h8 q: f8 n9 W8 i tick
& ], N- Q" `4 d p update-plots
# s$ g$ e5 n8 \/ ^' Iend J4 k& x, X3 f3 v
to visions4 u% Z% R* n7 i' S! i+ E
set vision vision + 1 ( c5 Y3 x) y$ E
end
4 Z9 i4 I! c( l0 |& b% ^# U9 r' E' k3 }4 I; ]
1 t& x' x4 ?% Q- |/ K. w e
$ n. l& x6 L) j3 Sto turn-towards-grain
; G9 ?: [# f# `8 X; P9 [ set heading 0
/ I- m$ G6 |+ J8 P# V$ Z8 x let best-direction 0% H5 Z7 y- A1 C4 D
let best-amount grain-ahead
5 A. B$ X- Q; S2 P$ f$ ^ set heading 90: `; A5 x2 g! c! m4 r5 g, K
if (grain-ahead > best-amount)0 e. O# N& v& U" C- \6 C4 |
[ set best-direction 908 X2 o* S# u. O/ A1 A# x( P8 B
set best-amount grain-ahead ]) @8 C4 f9 U% z
set heading 1803 u/ n# a' e/ \1 o3 ^3 y
if (grain-ahead > best-amount)! e4 P' C. R6 G/ d3 L
[ set best-direction 180
0 t/ l/ C; \7 [& m; q set best-amount grain-ahead ]; V3 D. N- @1 }0 F
set heading 270' \$ r$ ^/ I* }# ~
if (grain-ahead > best-amount)
& f* U- o- r% U+ H0 {& l [ set best-direction 270! Z' I1 [2 M2 Z5 e! H
set best-amount grain-ahead ]2 \1 P$ p( J" i+ }! p
set heading best-direction6 p" R3 ]. W% Q; V7 P
end5 Z1 o Y" U4 G) J4 c- Q+ V, i1 O
5 C% x6 i$ k5 c- v. e5 R# l N% |
to-report grain-ahead Y6 i. j. K- ?3 O4 p1 I4 w
let total 0
( B$ x1 R1 H P let how-far 1$ v6 H# ^" `! K" N% T8 @
repeat vision
5 @* S& ?5 @+ t/ @4 I9 j& y [ set total total + [grain-here] of patch-ahead how-far
- h. Q3 Y- Y% m4 b, i- W5 W0 S set how-far how-far + 1 ]
/ J$ b* u& }5 H2 Q' A4 q. c report total
7 E$ L- |6 ?" K2 a& fend9 j) X* D [1 n' N" i
: r" F3 i7 _8 g$ l! fto grow-grain
$ A, }* s1 P e+ h' b# p if (grain-here < max-grain-here)1 i/ a3 g$ s% c
[ set grain-here grain-here + num-grain-grown7 Y# n) h J" c: d
if (grain-here > max-grain-here)
! S1 j6 d2 M( G- P# V' _& X, E4 y% F/ k [ set grain-here max-grain-here ]0 {' [: C* [& [
recolor-patch ]
% n8 K2 g. j3 c5 c$ M; Send
$ {9 \5 R9 O6 C5 y. Z9 g: P( jto harvest
3 j, u9 z& \* x$ L ask turtles. G. Q9 ?1 k/ @! Y6 w
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]: o K1 I3 k0 n4 [7 J& |7 _! d: L1 V
ask turtles) H$ Y/ w/ M9 w9 x
[ set grain-here 0
3 l: d: r% [* Q/ V recolor-patch ] n" o, f. M9 p
; ~! O0 _9 p% l, y& Cend
5 o* `( n5 v7 J' G+ `5 D7 r k$ V, `7 q( Q
to move-eat-age-die : T; \2 U9 O* R
fd 12 S5 R' Z1 c" F/ G( f! n
set wealth (wealth - metabolism)
4 f4 t6 V5 a) y1 k1 { set age (age + 1)
- k: w/ a3 B2 ~ if (age >= life-expectancy)" N; d, M# r% @$ Q) `, G
[ set-initial-turtle-vars-age ]
6 x* z* S9 r( g# y1 M if (wealth < 0); d& j$ ` ~9 t+ z9 H5 K; j
[ set-initial-turtle-vars-wealth ]0 t+ D( t4 R* s7 H+ E
7 U7 u- l3 T9 ~' o1 `9 Kend5 @4 e# O) p' M8 V9 P# X
; P1 x6 m }( W9 c; G3 E4 T/ ?
2 |9 d2 Q7 x- {9 ]to setup-plots( @! |" t- A6 r% _! K
set-current-plot "Class Plot"" L( e! f2 g2 l: ?
set-plot-y-range 0 num-people2 i: R# E1 @, _, c9 M
set-current-plot "Class Histogram"$ Q* n3 Z* t6 ]3 x* E) H1 B! T
set-plot-y-range 0 num-people: Z. N) I( R1 x4 P- Z0 I$ O. k
end
2 u3 f7 s, ~4 C7 L1 K( V
, z" w9 H- @1 H J4 L" Q( [* Vto update-plots
) l- b$ R( c Z/ e, C, g1 @ update-class-plot7 U$ H3 u" V. E" W5 N7 K6 ]( L* a
update-class-histogram. {2 {" o) ~. h- b" @2 y$ \
update-lorenz-and-gini-plots
' V, e* y" d* r$ Tend
2 V) N3 J' D L# H& @+ q$ K9 S3 C: \( o* T0 O/ f" L9 K, \2 J# s
to update-class-plot
) D/ V! h! Y/ z6 G i2 R0 ?: c' u' Z) E set-current-plot "Class Plot"
# P; K! e: o$ ^* Y9 J" U: Z# H set-current-plot-pen "low"5 u% p+ k# ^1 P; P
plot count turtles with [color = red]+ _6 t1 t# }* d5 h3 L
set-current-plot-pen "mid"
' N6 e* J7 B9 W: P7 K& m plot count turtles with [color = yellow]0 r5 G5 J3 S8 I. k* c/ L& b% z
set-current-plot-pen "up"
3 _/ U& U. C( Z( h7 y( I6 S1 c# B plot count turtles with [color = green]4 G+ U X- X5 K4 ^$ |
end
$ s, w# s* X+ u& A0 T0 B/ k4 |- \% }6 ?9 y7 @4 N' E; r! G
to update-class-histogram
% B: k/ q0 k2 j% b set-current-plot "Class Histogram"" p1 ?! L: m4 a" ?
plot-pen-reset
7 Z3 W4 M! g+ Z; i$ u set-plot-pen-color red
( N. k: X% h7 X# f plot count turtles with [color = red]
1 @, J1 v: M: k! P8 r" i! B4 T! C7 S set-plot-pen-color yellow
7 v: S7 f' V- a9 o' J* y plot count turtles with [color = yellow]
7 t2 t3 c" Y0 R9 ? S) e set-plot-pen-color green
5 \0 c6 {& k; S* H# R% X3 U plot count turtles with [color = green]
3 Z* H- R# Y4 kend- k6 ~+ U+ \! n' `6 y. m& M3 N
to update-lorenz-and-gini-plots
6 v/ u# r2 t* U( X set-current-plot "Lorenz Curve"
, h/ n: v' Y- A! N+ }; |1 G) S clear-plot& q0 D& }1 B+ l# ]) n
2 e$ \7 v+ l% D0 Q- V
set-current-plot-pen "equal"
6 N1 V1 |* y$ q" P* ]8 m) g( R plot 0
( i) B* L$ U* K9 Y6 g" Z. z: a1 s plot 100
$ v% d3 J: `+ n1 Z% T! N
1 n( U. z) Y0 N5 { set-current-plot-pen "lorenz": \- l2 E9 U& `2 j
set-plot-pen-interval 100 / num-people9 k0 ?; G _5 U# \: W5 L9 x
plot 0
/ R/ O2 @! X+ J$ A0 G# E6 T% [/ @! d8 \" J# F0 l& P" |
let sorted-wealths sort [wealth] of turtles
1 A, D$ F1 q. P9 b1 G) Z+ x! T let total-wealth sum sorted-wealths
" J: e" u+ p" R3 _2 D# F' K let wealth-sum-so-far 09 c/ A, A3 a& N: x' f% }' ^# D. J5 }
let index 07 I6 @3 e9 o, F
let gini-index-reserve 0) g C$ T/ i! b. Z
$ D: ~2 q! ~! r2 P0 S! _3 p
repeat num-people [
r2 r; w# ~) a) I set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths). a5 ?. P3 y. H
plot (wealth-sum-so-far / total-wealth) * 100
% x( G4 S4 h9 i+ U set index (index + 1) B- V1 a7 L$ ^; T$ f3 @
set gini-index-reserve
; I8 R% @3 ^! p& o" R+ s5 X gini-index-reserve +
, h. s& g$ U( c6 ]- @3 [ (index / num-people) -
+ m+ n! O! S* @ (wealth-sum-so-far / total-wealth)
% D9 p, {0 z. U; b: Z/ k- N: Q ]
9 B8 Z; X3 W4 R' k
4 j( I3 { d8 m) o) N; M9 H set-current-plot "Gini-Index v. Time"6 [, g% }2 J! w, A$ A% ^9 ~, Z
plot (gini-index-reserve / num-people) / area-of-equality-triangle
$ k; Q/ Q5 t6 ~3 Aend9 ^. O# x, r" ^" H t6 F% G
to-report area-of-equality-triangle( X( b% C3 y* ~3 n- [0 t! C
report (num-people * (num-people - 1) / 2) / (num-people ^ 2) S* l: ]# w8 f8 f$ j% o+ O/ b
end |