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 ~' \' l% D }6 Qglobals/ _, J$ ^8 {$ O6 u' U5 V
[3 _* @; V7 k, s m) Q
max-grain
* [! }) t5 ~$ r6 [1 o/ [! m8 V% C2 R% [* n, B' k# m
] \3 e5 }, U I
% _ t" H. p) ]- Zpatches-own. g# x; i- ]8 D
[5 ?# L& M3 z3 ~2 E1 |- `4 {8 h
grain-here 6 ~& o# N% l/ V4 Z
max-grain-here
6 s1 G9 K2 C! e* r. l]
' U# {* \$ M1 y+ o; a1 N8 e- o8 {. s7 g/ b/ D6 d
turtles-own
; ?, i& P6 y1 v: c7 D. Q[7 G# x0 Y, t/ \; C- Q( U
age
% I: c1 d8 Q, B0 q wealth
~! Y) x; C/ R! @6 G life-expectancy
( b" j) x+ b+ Z% m9 h6 n$ ^: r metabolism
3 I8 \& k" X7 M9 U$ j. n3 f vision
4 t. d3 S |) A, I6 `( [" k9 s inherited ' ^* q/ z* H% ~
]4 }1 I. o- M9 b
7 n* P. H& e- D$ L1 U0 P0 \3 G' n
7 Y9 o4 g8 N O; S9 P3 yto setup) A0 F1 z& q @/ {
ca
* f) I6 X+ z2 O( J, o: x& M; u& ] set max-grain 50" k6 e$ ~4 V2 e% I( P2 M
setup-patches B: ~2 J% ~0 |
setup-turtles
* [( E, ]2 J2 d5 b) m setup-plots
5 j: t' g- R+ U( L% X' D update-plots6 O1 i0 d0 x$ B4 R
end1 i3 _7 f7 l5 Z6 z. H# {
to setup-patches2 v' C3 B. i5 v
ask patches w8 ^: s. ?* K# w" d3 }! I+ v
[ set max-grain-here 0% X1 D/ A: ?8 s, g. j7 [
if (random-float 100.0) <= percent-best-land
* Y: \# ?" X. u/ ~- |+ N% C [ set max-grain-here max-grain1 D$ j0 I( }: c* e' i4 H
set grain-here max-grain-here ] ]9 [/ i5 [4 H: X# s/ M4 p" V- z
repeat 5
8 k. h' Y, z: Y* ~ [ ask patches with [max-grain-here != 0]
" N$ A9 H6 d! k. d F" c& B [ set grain-here max-grain-here ]
p- {& ~1 m, F3 K; ~2 @ diffuse grain-here 0.5 ]' |6 N8 \# X5 E) G# t
repeat 10
8 B' e" H+ X. W [ diffuse grain-here 0.5]
) r: I& s% I' l4 J ask patches7 E7 i# w+ Y% |4 B. e0 L" q- m
[ set grain-here floor grain-here 3 v1 l J# S2 _% {2 S1 C
set max-grain-here grain-here
+ Q+ |& | ~" k* V recolor-patch ]( h0 l1 _! `* t) I, N
end
! k# p! r/ d/ u6 ?' u1 sto recolor-patch
) F' g( ?0 Z# i& f- s; F b set pcolor scale-color sky grain-here 0 max-grain
& Y6 p: M9 c" {end" d( t* h, [# v- E; ~- [
to setup-turtles" R+ W3 l# l, f) R) l2 P3 w% Q& j
set-default-shape turtles "person"
7 I O$ N* w7 { B) S" m crt num-people
/ O/ v2 D, |" _; l [ move-to one-of patches 4 N- w/ Y+ v6 G
set size 1.5 6 s' ~/ y, }( m8 q0 x# p
set-initial-turtle-vars-age/ v2 U6 S/ W' |6 O* [3 H
set-initial-turtle-vars-wealth; F0 v8 ]$ _) W1 t. z$ G4 C
set age random life-expectancy ]
4 G. j$ g( @% f! l9 M" f( | recolor-turtles
3 o# ~" i* y9 }8 e( h# Wend
# m; c4 Q. V6 v; q/ Z* `$ c
6 h4 O! ?2 d; ?to set-initial-turtle-vars-age. ]+ A* H) @, A& q5 `; c
let max-wealth max [wealth] of turtles
6 F* h/ \0 o. w
' K) k! J$ H9 d" i$ Y/ ` ifelse (wealth <= max-wealth / 3)/ L4 Y* C* K4 }2 k# u" N- R% k
[ set color red
9 a7 X/ H6 |! m set age 0# F- U/ _* \, y b p6 @& g8 K
face one-of neighbors4 ! ^. [8 b2 C z+ F! d/ X
set life-expectancy life-expectancy-min +- o- q; z, ]" y, N: N4 [
random life-expectancy-max
) _3 h& S3 R e4 y1 v set metabolism random 1 + metabolism-low, Y. e2 c! z: N W4 x' C
set wealth metabolism + random 30
+ u/ W' O# D) T set vision 1 + random max-vision
6 S4 m; K0 |0 ~ set wealth wealth + Wealth-inherited-low ]
* w3 ?& e$ d1 b( h5 c% | [ ifelse (wealth <= (max-wealth * 2 / 3))
; r% w0 p% h7 a& p [ set color yellow ( J: I5 a& s( I' Y
set age 0; y! u$ ~! z! N6 H5 a( T7 a
face one-of neighbors4
# j9 t; e3 C+ W; \1 n! N; {' a set life-expectancy life-expectancy-min +
' U! M. e; G# w random life-expectancy-max + 17 u0 c- J2 C. W
set metabolism 1 + random metabolism-mid" |; o# }2 |3 I( t% y
set wealth metabolism + random 300 l, s/ s: u9 {8 J& O0 S
set vision 3 + random max-vision* i- Q( s' }' c
set wealth wealth + Wealth-inherited-mid]
3 E. v6 D: ~. O+ f& p8 \5 F [ set color green & z% F3 R( T+ V
set age 0
; X' R3 T1 ^/ S: A) Z face one-of neighbors4
% S! U4 y% ^0 g8 U+ F+ b set life-expectancy life-expectancy-min +
; {: h T/ \' Q% {! t: G random life-expectancy-max + 2
( M: A0 ^/ C1 q5 Y8 E set metabolism 2 + random metabolism-up4 l6 ^/ o+ ~: e3 x5 e ?5 J
set wealth metabolism + random 30; v4 G* B' o1 M" Q1 b# L# y0 w' w2 |4 W
set vision 3 + random max-vision
) D) ?- |9 d$ Z/ G' a6 \/ ` set wealth wealth + Wealth-inherited-up ] ]
: U. L, U I( D C- Q- _ . V1 q) t0 T9 b1 C9 e4 z: q
end: |' V+ w) ?1 a
to set-initial-turtle-vars-wealth0 V: Z* [) C! C( h4 k
let max-wealth max [wealth] of turtles7 [2 D" Y$ s b9 _
set age 0
0 O# P* k. ^1 d$ @' O5 W face one-of neighbors4
+ g3 f+ U+ k, {5 G, M set life-expectancy life-expectancy-min +! i0 ~( d$ \5 i z
random life-expectancy-max
+ R% M8 H' d6 y4 L set metabolism 1 + random metabolism-up
" M% N ?4 m' z, s( B set wealth metabolism + random 30- B+ U5 W" i- n8 p+ Z
set vision 1 + random max-vision
4 D! i5 S `. E! Mend# ~% @ X3 `# w' M! N/ s
to redistribution
) R, p& ? K3 ^3 G& `let max-wealth max [wealth] of turtles
. S7 p$ K9 L7 {% G; nlet min-wealth min [wealth] of turtles5 W% H4 L$ s- P/ r2 X+ k
if (wealth <= max-wealth / 3), y9 G* |' }7 M! L4 Y: ^' R9 [4 K: F
[set wealth wealth + Low-income-protection ]
* }, b5 v! d6 _% f vend
8 S. g' F3 Q- m% w7 k
& n0 H( T, Q7 x# Hto recolor-turtles. L) d3 P" l0 L% F- W. |5 S3 A/ j
let max-wealth max [wealth] of turtles5 ~+ r6 H8 E. O* Q3 { H& O4 l% j2 g
ask turtles8 g) T' k: f) r& i
[ ifelse (wealth <= max-wealth / 3)
0 c% T/ T: P) T) ?& F& b [ set color red ]
' O% |7 M8 }& s: w% d4 u [ ifelse (wealth <= (max-wealth * 2 / 3))
# i: Q/ ?9 @8 f6 Y7 E" ^# ~ [ set color yellow ]
: b' q: I: u4 a% Z2 x* N6 u4 D% m [ set color green ] ] ]1 f7 |' W* W; g
ask turtles [ifelse show-wealth?
4 H! d9 x; \, S P [ set label wealth ]
2 W* @& B( h! C. ^ [ set label "" ]]2 X* i: M( @* a1 {; m3 B, w
end- U [8 `9 q A( ?% B+ Y) c
6 M, E6 e- u& i# T% F; X1 Uto go3 C, F' ~" K7 g0 r8 x8 B
ask turtles
/ ~. @: A% x5 D0 _+ n7 ~ [ turn-towards-grain ] / M4 S7 R5 }) Z& T9 _+ c1 B
harvest+ W( {1 L# D) c2 I, T4 y
ask turtles: U8 ]! \; P0 V4 e
[ move-eat-age-die ], @5 G" L$ U' r. C
recolor-turtles
; F( ~: I1 r2 d+ _9 Z$ P if ticks mod grain-growth-interval = 0
# A F; t( x. G1 ^# k [ ask patches [ grow-grain ] ]
9 e0 ?5 L% ?( A2 h8 ? g+ _- v P7 r F k% Z
if ticks mod 11 = 0, w% p. }+ b- Q( ^) p4 x+ l
[ask turtles
4 `3 \ o- F6 q6 D! D* Q* A [ redistribution ]]
( e+ w/ e" [- @: M if ticks mod 5 = 07 k/ b2 P& D! Q8 p! q% H) C' Q2 h
[ask turtles* z ?7 H& a: k! W0 Y
[ visions ]]
: d/ j' W7 o6 r- b; s9 m4 l# d tick9 T5 U% h& o3 O) J0 ?) N: B
update-plots
, C2 F/ W- v! q! |$ h3 ^end
" d2 g1 M7 {: oto visions1 M- Y L$ M/ u f9 n, i; F0 z# A( N
set vision vision + 1 * w5 o' M( T2 l4 N3 ?+ n
end- o% a& ?/ c5 g. b1 {
2 G" c! Z9 r- }2 k- ^
7 k; `+ A9 V! I) u; T4 q" [0 u
+ S' H, e. @1 A9 q7 t1 ]to turn-towards-grain
' d; P: P8 Q8 k; h2 V set heading 0' R6 \" z9 J7 I" ~* [
let best-direction 0
' ~0 X; `- s" ]2 o, \1 y; w3 N let best-amount grain-ahead
! R, E7 |; [" V$ k! N set heading 90, R/ M. `3 m- V5 K
if (grain-ahead > best-amount) d+ y$ ^2 H" R* G
[ set best-direction 90
$ D: \- ~, F" n; M set best-amount grain-ahead ]
0 D. r7 A4 ?1 c5 R; G8 c! P set heading 180, j8 { M) B8 n& V- |3 L, R- f; P, [
if (grain-ahead > best-amount) c% v/ v: D( {* K, C
[ set best-direction 180
/ ?; i: O; j/ A' _! u' B* Z set best-amount grain-ahead ]: m1 N/ n1 R1 H3 p
set heading 270
5 l' T, Y( e+ \! }% H5 q6 |! V if (grain-ahead > best-amount) N2 u% H6 `; W7 ]
[ set best-direction 270
/ u0 U+ g* x7 E% o# m5 \ set best-amount grain-ahead ]
# z& q0 {* L) d( A: C# u; x9 j4 y set heading best-direction
+ H/ U' z L0 A7 n6 Yend3 z, q+ ?( @# S# m
9 v! w. H2 W2 {1 `
' T& \/ t# y% V4 t
to-report grain-ahead
- c# [: E( `" A, h" A3 x. |# m: p let total 0
$ ^: S1 z7 q) j8 [ let how-far 1! a: W0 _7 Q4 G; T. _0 l H7 Z
repeat vision
0 E& [* [; `: _; J) y [ set total total + [grain-here] of patch-ahead how-far# b$ W) q: l, r$ w! Y) l% W
set how-far how-far + 1 ]) J( T. @' Y4 y
report total
w% H: l& Z- H6 f4 q Wend+ _; d# i6 }1 ?7 P
; g$ f. }! a% ^! c; q( jto grow-grain
8 V+ g5 A8 h( q if (grain-here < max-grain-here)
0 f6 d y' {. N! G9 H, m$ s+ p [ set grain-here grain-here + num-grain-grown
- ^: Y) I3 Y# E if (grain-here > max-grain-here)
* i0 M0 x k1 Z* V4 B7 j( N [ set grain-here max-grain-here ]" e8 ~8 J" ~0 y* ~# `" `
recolor-patch ]
. N# j# o0 d0 `- ^- w. W% d) s* uend" U8 l3 g$ l& q7 C0 g! f
to harvest
" T b* D2 W" y& u# D, P8 @ ask turtles7 @$ ?6 g( ]0 b: z4 n& g7 y* Y6 L5 h
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]0 A ~/ p* N" g5 e `, X
ask turtles
4 @2 G6 z) n3 N6 x% H [ set grain-here 0
' d' r: ]! [/ ~& b) ~3 ^8 M6 J* [ recolor-patch ]$ t" P2 C: x. S
0 g7 N1 q. t% w4 Q
end( V) n t) H5 Z6 f& X
' K, y5 b+ t6 B- cto move-eat-age-die
A) s7 Q, r' J, i' m+ L4 }! ]2 `$ U+ [ fd 1% M" E+ r" j& m3 U
set wealth (wealth - metabolism). o) ]# O( J" @
set age (age + 1)
1 X0 f8 l: L: e if (age >= life-expectancy)' |6 H h6 c" L9 Y! Q
[ set-initial-turtle-vars-age ]
$ q [: ~7 d9 C$ T) c3 d' |3 G if (wealth < 0)$ [" G5 x: c/ J) P) n
[ set-initial-turtle-vars-wealth ]
6 Q+ G2 m* C J/ g6 ~" \( e 1 ?9 Y W( m& L; j3 W
end1 k7 b4 O0 _/ m# d
) ~) U0 m! u8 E$ b
: B3 h4 h9 T! f* {to setup-plots8 h& Z8 @. F. f; f
set-current-plot "Class Plot" P+ ^3 k# a5 G: |
set-plot-y-range 0 num-people
. { J2 r7 d& C- j" e/ E set-current-plot "Class Histogram"* m0 D4 _! _+ P# n( U( z
set-plot-y-range 0 num-people8 L9 G6 H) U% }" a9 G
end! M: {: @' d( `" D2 [
* Q4 F+ [0 t) I$ T
to update-plots. o) J+ e6 a- d w8 K
update-class-plot
2 @8 t9 u$ l! X1 K update-class-histogram* j$ O. B1 A9 w* b0 f4 l
update-lorenz-and-gini-plots
, o" _$ g& K4 F, Tend
. N2 G# h2 x$ T! E5 x: d& a/ C$ D' N' r& x+ n( o
to update-class-plot
4 m0 {" G- u' ~+ T: K' b9 J, G+ _/ _ set-current-plot "Class Plot"
1 t2 b/ V+ X+ M8 H/ g1 i- K) _$ k set-current-plot-pen "low"
+ w" A$ R$ m& v+ c0 f1 @$ l9 A( G" b plot count turtles with [color = red]5 y# T. T1 r4 _0 o& o
set-current-plot-pen "mid"
1 U C# _. l- N3 y$ b plot count turtles with [color = yellow]
8 o9 l0 g8 k$ R& t; ~, t% h8 W set-current-plot-pen "up"
$ S7 a/ f; }8 p plot count turtles with [color = green]) @6 i- I; K( R# Q. t+ o
end8 p( \$ X( \4 w# n. x/ r7 a
. c7 F& N+ U2 d7 r4 v( \6 _: q! ~
to update-class-histogram
9 s- [5 z: i3 |0 M set-current-plot "Class Histogram"
3 ~, X4 v% d) w' n7 K plot-pen-reset
M8 w+ ]5 c$ C) n; ?0 f+ i set-plot-pen-color red
$ \% s8 D0 \0 i+ \1 K plot count turtles with [color = red]( Z G) m y3 N! f
set-plot-pen-color yellow
( j; e( z5 g" L8 I plot count turtles with [color = yellow]6 P7 j. E4 j* D* |, `/ r* X4 C4 U
set-plot-pen-color green
1 _7 r0 h, `: ~# u! U: v; s( n" S* _+ { plot count turtles with [color = green]
) y7 d2 ? u, z; k# e. o+ |! i' y6 [end
+ U( Z8 h" C* K9 f# N. Wto update-lorenz-and-gini-plots- R4 {$ ~. I0 e( j8 d
set-current-plot "Lorenz Curve"2 J4 g7 u) a2 o* Z( i) B/ O/ I
clear-plot
+ q; D3 S& r h% P
' V1 b' u% F, T set-current-plot-pen "equal"
* J4 C x' h0 { K) A2 u plot 0# o0 X- G, f' N4 i/ J- t
plot 1009 |- R* ~( L% h, j! F
1 k6 V6 Y# [ J1 e6 f
set-current-plot-pen "lorenz"
( b! J6 w) {4 \5 e6 d6 y1 u* F; { set-plot-pen-interval 100 / num-people! }- D* P; T. l1 N+ o3 d
plot 0
6 Q% j% v; t* L
' r3 U3 V0 b: S( {2 a3 k let sorted-wealths sort [wealth] of turtles' a7 k' c) F9 `' P5 ]6 L
let total-wealth sum sorted-wealths
. c6 ^& g" W/ _% J- d; a3 B+ B let wealth-sum-so-far 0
+ B* |# N; D' S let index 0
& O7 z1 U8 P" f/ B; Q5 [* Q# | let gini-index-reserve 0) s/ d1 o7 K2 C" H- e0 h8 F
5 H+ U- I; q2 m! a3 i
repeat num-people [
# B% B) k8 ^; t0 i. c% ^( ^ set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)% O+ o' b0 e( d5 G9 t/ q
plot (wealth-sum-so-far / total-wealth) * 100' V" m7 v* w s* ]9 z) G
set index (index + 1)
4 i& o/ _! ]7 K$ Q. Z set gini-index-reserve( y- A' n5 k6 m3 M) [
gini-index-reserve +
, r% s8 l' ]* c4 J (index / num-people) -! e9 A# f: F* w! A: S2 b
(wealth-sum-so-far / total-wealth)# b% |/ q2 N& h
]
. w! W+ } E- G u4 g
' Z5 ?% i7 j# u9 K/ x set-current-plot "Gini-Index v. Time"
1 `" _" D- \3 Y4 k plot (gini-index-reserve / num-people) / area-of-equality-triangle
e/ G- | d1 }$ f# ?end, b& p6 M( C- g0 P" e
to-report area-of-equality-triangle% O, E3 Z7 c( h4 s5 Z3 d
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)5 M! I t. @; b) k# |
end |