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' |) r% D% ~" F/ }" u4 W, f, b
globals0 Z$ w. f y" _: S, V: `+ v+ }! C% |
[
) N, S: z/ }& u) N% ~6 W5 Y+ I max-grain
0 y# w0 f/ c) |. K; i" @* R( ~, n0 K) O5 R. m8 J/ i* T
]/ w' N- D8 P3 O+ r5 y* [! ~
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patches-own
9 ?$ E* U- o& O* X5 M% E. V( J[ L) o% X, n7 c0 r8 V- G
grain-here + H1 {" i4 W! x6 a
max-grain-here
7 C% {5 A! W9 C" b: x]
% n7 g1 |1 z, F7 S3 y& b' e7 C# h G; G9 J, v: M( J. r% Q
turtles-own1 ?" v0 t% m4 ^; j, u
[, [. c- Y8 ?+ K: ~/ X( a
age % ?! L; o2 i0 `; q
wealth 1 w# \2 ^4 Q+ _8 l0 t
life-expectancy 1 @ F+ q" V" K& ?0 ]' ?3 E
metabolism
7 ]' L$ a, u; F% i3 E4 C' G$ j vision# j( d1 M$ e! Q# m# r3 O
inherited
8 [5 a. D' H! w3 s& y5 E1 Q+ b$ g1 T]
% Q' o1 R0 c9 \4 f% @
9 b1 t y* k2 Z6 r5 G$ v4 o
( ~4 v5 n& O- l& Z8 I& J1 J/ dto setup
. ?- L# u |: [. i, e! K2 H0 d ca$ k$ t( E0 n" Y( E! |: a j) A4 t
set max-grain 50
7 k' j' V- r" d8 |+ z' L setup-patches6 W5 k( e) `4 X5 N
setup-turtles* D2 m W) v7 G& B- ~
setup-plots
' G& ?$ L; O; K% l k! M, ]' ~ update-plots! b/ H' w: i) g' d' _# O
end
6 x8 V7 P( k- ?1 J% _to setup-patches
" w9 f( C$ `5 z ask patches
5 Y( |8 f" {6 m1 }2 w [ set max-grain-here 0& L' f) X+ Q. ?1 z& n2 T
if (random-float 100.0) <= percent-best-land5 S* M8 h# c5 \3 s: j0 y" V
[ set max-grain-here max-grain
. w8 [% z7 O, [0 P# H- ? set grain-here max-grain-here ] ]
) O# d6 X6 B# B: K* f repeat 5+ Q2 |6 N U- l+ }# r, h L$ X4 P
[ ask patches with [max-grain-here != 0]
) c/ h T: w6 E9 N i$ X; q [ set grain-here max-grain-here ]. z: M1 ^% i3 x
diffuse grain-here 0.5 ]( I- k" S) L! V& j
repeat 10
7 I3 M& w& T$ _$ Z3 |, ]5 _0 m: j* P7 S [ diffuse grain-here 0.5]
+ z) N8 T5 ~8 t7 y, U- F ask patches' r/ a5 l; E! F$ F$ K: V
[ set grain-here floor grain-here
/ b# E# Q" z8 [; k set max-grain-here grain-here
- G L- y# \) f4 }) d recolor-patch ]
0 Z. m4 p, A3 n6 b! o" S, rend( t7 Q6 r7 u& O" [
to recolor-patch
5 d; n/ _: a' b8 S. D9 K. V set pcolor scale-color sky grain-here 0 max-grain
. ?: M1 j5 V6 _" \1 w5 @# E' Uend
9 s0 U8 z' {/ c& n0 @to setup-turtles
$ Y0 ^9 @8 X7 n set-default-shape turtles "person". K& V1 Q, P% E/ Z5 b
crt num-people
( ^0 I5 s8 o: n [ move-to one-of patches 6 V2 ^" v( p2 }: B8 t; S; T
set size 1.5
+ O' u' C/ a2 R) @0 p set-initial-turtle-vars-age
Z" Y. N' p2 x0 }$ n# G set-initial-turtle-vars-wealth
; w( V+ ~0 x. z- I1 B: @ set age random life-expectancy ]) m! W* Y/ i" [/ L4 {
recolor-turtles
: G- Q. B8 B0 l( t8 }" Rend
2 L! t& Z: X+ l3 {. U* R' X, A" i t1 {; X9 }- X
to set-initial-turtle-vars-age
/ z9 c# t* D# R4 O let max-wealth max [wealth] of turtles
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' `$ q$ T8 A9 U, @5 P ifelse (wealth <= max-wealth / 3)
7 a& o8 P5 E3 _9 e [ set color red : h- Q" ~. f, `& y" H
set age 0
( G3 m( Q( A, h- Q/ b, ?3 O" d* o face one-of neighbors4
* N5 r) R! _# b& C5 \, a set life-expectancy life-expectancy-min +
, ]# `0 u) }* I) w random life-expectancy-max 8 ~7 R) m2 g$ G& y) q2 z9 n
set metabolism random 1 + metabolism-low+ @. E) q( x3 A5 b) A+ d7 X
set wealth metabolism + random 30
. w0 V9 w. S& q; q; ]9 \5 _ set vision 1 + random max-vision
) F# ^1 F4 N5 [0 V, O$ }) F5 P( v; b set wealth wealth + Wealth-inherited-low ]: q1 E) R: n. w- {' S9 s
[ ifelse (wealth <= (max-wealth * 2 / 3))
7 e9 P4 o- M. E( y9 L& S! n [ set color yellow
1 t" ? f/ G# T. O set age 0 K6 r- v- c' Z5 U# [5 }
face one-of neighbors4 ( u3 Q3 R' a: A8 l" y3 I% f
set life-expectancy life-expectancy-min +
9 R& r6 A& j! _( m1 P4 F' w random life-expectancy-max + 1
% i# e+ ^( ]- k2 U5 m set metabolism 1 + random metabolism-mid
% u% y$ ~, H4 l( o1 n( v set wealth metabolism + random 30
) b& t5 R4 J* w+ m- C( \( K/ H) x set vision 3 + random max-vision) v* i: {8 J% B* ]* X; ]2 r. M
set wealth wealth + Wealth-inherited-mid]
2 P% |- d% E3 | [ set color green ! a" D' X2 k2 b& g' p J
set age 0
* e0 L2 d; l3 e: F% b face one-of neighbors4
# o8 _" a( i$ v. p1 @ set life-expectancy life-expectancy-min +% ?! I. b" ~3 E ?) a9 }! v" y- d
random life-expectancy-max + 24 [; U, y% p( o2 U2 q1 a; }" f
set metabolism 2 + random metabolism-up
& D# b) C# d9 R' l7 Z set wealth metabolism + random 30% Z9 Z/ s e9 ] U3 @$ i9 F$ M
set vision 3 + random max-vision" T' F/ O3 a' R( X: E8 K
set wealth wealth + Wealth-inherited-up ] ]
4 M2 e8 E7 m0 b + { ~* F) A) m+ k
end
+ t& S0 w& t( j) [9 X3 n/ l1 ]: pto set-initial-turtle-vars-wealth ? F: o* P( y
let max-wealth max [wealth] of turtles5 ?3 K% M4 E; I4 k8 ?. u
set age 09 T+ l9 g( I }- K2 i" |# d6 O
face one-of neighbors4 5 Q3 J. P/ \% v+ [3 t# p) \
set life-expectancy life-expectancy-min +
8 r) L4 y1 g+ u$ ] random life-expectancy-max 0 y# U- g' U/ y" p0 ?$ W* |8 b
set metabolism 1 + random metabolism-up
" f1 I' j9 a* G: o& o set wealth metabolism + random 30
) ^7 U7 W# y1 Y set vision 1 + random max-vision
, ?& |7 Q9 Q& y! Y1 S7 p+ g; b4 b% ~+ Iend/ o( h% p1 m) Q$ X- a
to redistribution
- R; [3 ]. c2 L: b5 n8 [3 Qlet max-wealth max [wealth] of turtles
; X! g# y% ?( R; O- hlet min-wealth min [wealth] of turtles
- y# R9 Y6 q& U9 @" dif (wealth <= max-wealth / 3)% {1 ?9 ]8 E: X, o8 ?: k
[set wealth wealth + Low-income-protection ], m' p0 }- r+ k+ w) X5 C* E& i$ _
end
; ]; R- S" A Z6 I4 N1 }
1 f8 m) U# ]& N `! H* V/ dto recolor-turtles# F! v1 y4 i8 _. f% U) ^! I+ m; e
let max-wealth max [wealth] of turtles# S8 K1 \: [) ?" J1 E) U* b
ask turtles
2 M' J& p' L" e [ ifelse (wealth <= max-wealth / 3)
1 G" G2 h3 c' _2 p! w. Q [ set color red ]9 ?, V3 Z4 D# Z3 {
[ ifelse (wealth <= (max-wealth * 2 / 3))
" l/ u' \" z# ^ [ set color yellow ]
" p" c1 ^# v- l9 c9 ?4 P' x [ set color green ] ] ]) X1 s' C s9 \0 y! W
ask turtles [ifelse show-wealth?
7 Q3 Q# H, n! B3 R3 K [ set label wealth ]3 M' |4 E, T) _# y9 |5 f
[ set label "" ]]
7 ?1 M5 G* v8 D1 U/ q1 |end
$ H6 K9 E5 R# C: P
7 X2 v6 h7 `" j6 m* xto go' \, i, @7 K$ i: `
ask turtles: b& P+ A: u. \0 Y
[ turn-towards-grain ]
" ]4 W; r+ Q3 A* x) ~. c' W/ ^ harvest. r* B$ f4 A5 X t/ V
ask turtles! ~0 |6 d2 Z) k( M. x/ e" k. b2 k# |; P
[ move-eat-age-die ]
. f* V+ y3 Q% T. z4 ~# H recolor-turtles1 m6 I: v* B e: q. i
if ticks mod grain-growth-interval = 0/ j4 Z: }/ J) Q9 U9 t* f% X) i
[ ask patches [ grow-grain ] ]( h: e/ h; M) N( l- Z
0 P% p; D, D- B: Z6 @% e. u8 l
if ticks mod 11 = 03 F% e- l3 |1 A7 B$ n
[ask turtles* T$ x* L/ q, p" X0 L1 b% }
[ redistribution ]]) L" n1 S8 u$ U F8 v k
if ticks mod 5 = 0
( d0 T" S4 _' _( _ [ask turtles% w0 M0 _/ o$ l7 @2 D: ]! Q2 U
[ visions ]]. N8 ?9 F# v3 a+ ]+ y
tick$ k2 ]( L2 X. ?+ ], B
update-plots
* I3 C2 l m& C' aend- H7 O- e- ~9 Z/ B" }( ~
to visions
9 e4 C* b1 }' l& t& a set vision vision + 1 + |1 U: X, s v, i/ L. U
end* u# ?0 q1 t6 q ^7 d$ B9 Q
% _0 m" D$ W1 S: ?; [
0 [3 }( W! o9 R- I
6 ]4 u8 J& k) {! Tto turn-towards-grain 8 J$ a6 e, s! L5 e, M& |
set heading 0
$ m+ m; d* a1 C* s& Y let best-direction 0
) d$ d* ^, r9 U# w5 G7 p( B let best-amount grain-ahead
) @# a. C$ A, t8 o0 n2 t set heading 90% i' o' ^# |% v
if (grain-ahead > best-amount)$ |" ]3 v* a. _4 P; A7 r
[ set best-direction 90* w2 {. V. B! Y* X' m# i T# z
set best-amount grain-ahead ]
# v& T: R8 v; l* O set heading 180
& e0 ~/ ?* O; B9 T' B if (grain-ahead > best-amount)
1 o1 k# m9 e* Q$ }! N [ set best-direction 180: q* }& w7 F* [6 N( y/ W: k
set best-amount grain-ahead ]! I! }2 s0 b0 F) P& e
set heading 270
8 r. W! f( S* D5 x& A if (grain-ahead > best-amount)8 |1 V1 ]7 g2 R( g- k: c
[ set best-direction 270$ Q n- C" j) ?4 e1 G7 l
set best-amount grain-ahead ]! G: o+ d6 D9 l6 V) Z3 t* l, S
set heading best-direction
# N/ ~5 X: D! w3 Cend8 F& c2 O2 K: K# h
% L7 e! T/ a' e8 Q3 A6 a
6 p' u- H8 h6 m/ s, c( rto-report grain-ahead
/ x; a8 `5 f: m6 c let total 0
- E. v }" k8 \! Y2 ]- O; C* e let how-far 1! X+ S; i$ o- h% |! b9 e" p5 `
repeat vision
9 C+ s& W0 ?0 F% @ s: D3 ~ [ set total total + [grain-here] of patch-ahead how-far
* M# i* L1 N) T( M- N/ t+ J( O; {& Z. d set how-far how-far + 1 ]
( \9 |8 U+ z6 P report total
; }4 R/ N! l* ]% [; Y2 f( Iend" {; e& c$ ~0 M3 p9 I
, L/ R% T% }, Xto grow-grain
5 @' R. L; ~% l; k' ~* ~& y5 c# u if (grain-here < max-grain-here)
3 @- `% x% h3 ` [ set grain-here grain-here + num-grain-grown: G( a7 k$ [0 P- N& a/ ~# h* |
if (grain-here > max-grain-here) & p; ~ C# g/ p v
[ set grain-here max-grain-here ]
: I$ R) Y' C5 ~) R9 t% ] recolor-patch ]3 @2 o1 D& [. u3 G2 ^
end
. T* n2 ]8 Q: jto harvest
4 a$ k( Z: S0 `2 A! } ask turtles% ?- ^, g: U% j2 a
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]" t; _/ O8 q6 z% Z
ask turtles
% W/ B$ K y" I; U6 a* m) \2 q8 h' S [ set grain-here 0
8 o A8 Z/ w# p recolor-patch ]" {, B+ T3 j! S; E* s) Z
1 t L- u7 W$ E/ [: K& \
end
' }+ ]+ |7 Y- s& A3 J# v3 l# @* `4 @9 u2 d1 ~
to move-eat-age-die
" \: X/ c4 @) u fd 1- j" e% `. B5 a* Q8 T; k
set wealth (wealth - metabolism)
2 k3 O: ^7 w, P6 b$ h set age (age + 1)+ x b5 j( H# E2 C
if (age >= life-expectancy)" r5 V7 q! i% i8 y; [
[ set-initial-turtle-vars-age ]
* J8 e! d0 u% B0 S" K6 X' ]7 O/ E0 C7 r8 h if (wealth < 0)( m9 Z4 x! R+ K$ o+ T1 Q, e, K- L
[ set-initial-turtle-vars-wealth ]" m/ C8 C6 s; ~5 B4 l" y
$ o. u. Z9 M- S3 \- I/ i* Kend! X5 V7 U( \% d9 n3 E% f
2 B$ v9 _" t, O! `7 j6 ?! ?; M, v9 @
to setup-plots9 B8 e$ Z- O% R
set-current-plot "Class Plot"
& N* l7 M$ j x$ E- n& W set-plot-y-range 0 num-people
* k, v, q- G7 `# P$ X set-current-plot "Class Histogram", Y6 h( C. h3 D/ P# }
set-plot-y-range 0 num-people
9 v% o% \9 n3 s# Z4 vend# U8 H; ^# W' X. E) Y: ?
: \* g6 C' E& x0 j( m# N. {to update-plots, O$ `2 ?: S$ g
update-class-plot
; J! \# l2 ~4 | update-class-histogram0 I) ^( p5 F# o" _* V9 V
update-lorenz-and-gini-plots
- B: r2 J0 j0 P! O6 U/ Dend8 i- P6 r3 W; c0 J h' a4 ^, i
/ B) I: W# k7 ^
to update-class-plot
% h3 @( ^+ S, _' L8 K set-current-plot "Class Plot") b3 [" |. b$ O3 V& }. h$ g3 h
set-current-plot-pen "low"
4 l( [: ~ |9 [ plot count turtles with [color = red]2 w1 K7 |( d% U7 f0 l
set-current-plot-pen "mid"
- q8 t7 l6 T& E1 |6 G3 S' s" J plot count turtles with [color = yellow]( j" B: e: i3 M7 M
set-current-plot-pen "up"
0 J" d7 A3 g3 v& J" ^0 C plot count turtles with [color = green]
& G& s- p* k, Q: \. L4 Gend
/ [6 k/ I5 U3 x1 Z! r- [
1 ~6 S8 V$ x3 e" Mto update-class-histogram& w( J9 N( d& ]& s) H
set-current-plot "Class Histogram"' m8 f0 r1 f/ C1 }' F" H& v+ b
plot-pen-reset; p& {1 Q4 ~0 q; M9 M, S9 R ^
set-plot-pen-color red+ g8 X) b. x- k
plot count turtles with [color = red]; o. v% a: M4 p: {
set-plot-pen-color yellow2 H" n5 ^; o. h" a- H+ n
plot count turtles with [color = yellow]
( [2 J9 \' i9 ]5 h( [) s set-plot-pen-color green# X' g/ q, X8 l4 a
plot count turtles with [color = green]
' _4 r# D, u0 U9 send2 E; G) |2 w3 r K2 @
to update-lorenz-and-gini-plots
. F/ J" u5 u1 }% L, q8 L. t set-current-plot "Lorenz Curve"- @4 i) y% g4 L; t+ }$ J
clear-plot
8 `9 F3 _# J7 K5 @ O# b) }% J) n1 \+ T; K: v) z& `
set-current-plot-pen "equal"
3 C% z3 J8 i+ Y4 J0 p5 C plot 01 `0 M; q2 p8 o* U* M; O
plot 100
( |, w) M2 q3 ]- ~& m( y: q% x& i# U) L
set-current-plot-pen "lorenz"
8 }6 T% ^; o }- M) ^8 r4 B set-plot-pen-interval 100 / num-people
: \9 n' o% y G- b( B9 s6 h) v& q plot 0
/ C8 {- _. ^$ W3 U8 n) E3 `2 a1 S! ]5 d
let sorted-wealths sort [wealth] of turtles! t* U, O3 S3 m# I% d q0 y
let total-wealth sum sorted-wealths
9 \! ]( ?" M& N5 Y let wealth-sum-so-far 0
: [6 v5 V) u0 f$ b2 w+ ~ let index 0
+ p9 o: o0 S* \ let gini-index-reserve 0
& q- v8 p- \7 g) j, M
8 x4 b0 f, J+ w9 V* w* w. u repeat num-people [
" `+ f5 m7 @' G S& B( J) R7 U' T set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)' X* O+ M% }! w4 i
plot (wealth-sum-so-far / total-wealth) * 100! B1 v3 _2 g$ M2 D( P/ \ {( v
set index (index + 1)
; Y" {2 E: c( |( E9 z' n: G* V set gini-index-reserve6 ]% J3 `7 `6 H7 T3 M7 y6 P m2 w
gini-index-reserve +
6 } M5 M: _0 L0 U8 A- O (index / num-people) -1 Z8 H. L& @$ i. j2 J0 s4 B
(wealth-sum-so-far / total-wealth)
9 j# p: c* v' D1 T% j) P. U ]+ a6 n+ t$ C5 K9 V W: W- \1 g) z8 m
) u% \5 J0 y1 `; J2 T set-current-plot "Gini-Index v. Time"3 i( c+ @8 @) g6 j
plot (gini-index-reserve / num-people) / area-of-equality-triangle
0 y7 t. Z- K9 ~, m) [4 C9 {5 Lend* \8 k, o3 F8 ` \
to-report area-of-equality-triangle
' |+ ]9 ~# n8 M# \! [ report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
& q9 S/ I# z4 D: E9 f- m3 q- nend |