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
; z' | K0 L$ v# Yglobals
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max-grain ( b3 o, C7 |$ w& Z0 D6 t( K
) l7 T& E+ O! E2 h]
2 b+ T$ K7 h* m1 | Q' Y% C' J( \# m% H1 w. U# |$ ^
patches-own
8 f! E" W5 W* y) H3 X# J$ N1 |[
5 A" k( z6 N* w% [/ Q6 G+ Y grain-here
, T: g4 O& T" v! {9 ?; P max-grain-here
@% S$ V. d* x]
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turtles-own
' b7 t+ V$ E7 \$ _: E( Z[
. g/ w& g4 m' u7 d* b age * \. Q! v) { T
wealth
; w0 c- m, }( P% ?* z/ g8 z life-expectancy : x" w0 o* W* P, R+ \* a9 z" E- F
metabolism
1 N {; y' S- B' X: U. \3 a vision
& m" c6 E7 l( V$ b inherited
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" f8 v9 L6 T: k5 W+ W9 s
to setup
" n2 u' x+ G l+ v2 ]6 l ca3 }: `$ O' j, q! G/ g4 g% c ]
set max-grain 506 Z. P( r3 T# n! M6 ~" ]- m
setup-patches
4 T% y L) C |% d3 y8 m4 ^; n setup-turtles2 o2 u0 s! z; o# a3 _6 n
setup-plots
$ {" L2 }# b( h8 ]- O1 W update-plots7 n+ o) H' s: y& C( w9 z
end7 C& h+ J3 \' C9 t% t) K: M" @
to setup-patches U+ [ _2 Q7 z: W; l7 U& l! ?& Y
ask patches6 O' h% B" a% W
[ set max-grain-here 0
* ^# p: z0 O1 @1 Q. I7 n if (random-float 100.0) <= percent-best-land/ E/ @1 {0 F* C4 N* d0 C- I
[ set max-grain-here max-grain
8 D8 y- O" P' U' K! N8 d set grain-here max-grain-here ] ]
2 t- ]5 \3 @: b6 @# q$ P% ?+ C repeat 5" c) j, O& Y+ m3 [! v) W% S: `
[ ask patches with [max-grain-here != 0]
6 c/ H) Z" E0 G [ set grain-here max-grain-here ]; v/ Y8 g' J6 ~
diffuse grain-here 0.5 ]
3 K8 X$ o% `: z( v repeat 10
- f3 ~* \: C2 l3 V6 `5 T: r1 q [ diffuse grain-here 0.5] ' h; |9 F7 j( |3 G% p
ask patches
" o' O/ `0 x' p7 Q7 ] T* w/ F. X$ M [ set grain-here floor grain-here
+ V* p2 l5 r! \5 T4 M set max-grain-here grain-here # [2 w" ^" E; H$ f7 A( _
recolor-patch ]) z9 o/ Y7 D* \# b9 X7 H9 `% S
end
" B$ z) H! ?/ E# O! l: h0 @: g7 ^to recolor-patch ; ~6 ~4 l# Q- E2 W) M7 n6 F
set pcolor scale-color sky grain-here 0 max-grain
# ]' s% t* D/ M" D: }, cend- A7 p9 u' z& y; z+ B9 E/ h* u& V( \
to setup-turtles% f2 L& M& @5 _/ E7 i. j+ S e
set-default-shape turtles "person"
- Q g) Y- m" v) u0 B5 g crt num-people& q: v- z p- b; A. f4 R1 p
[ move-to one-of patches 9 ~' Y$ e* ]0 C: }0 Q
set size 1.5
! r: L; c3 x4 S( k+ v set-initial-turtle-vars-age
) n, D! \# c" {) K+ Y. T set-initial-turtle-vars-wealth+ K8 E/ e& q4 A0 _. o
set age random life-expectancy ]" Z ~9 s# Q* D9 m% t0 V
recolor-turtles! U2 t6 R! [1 ~6 x: X
end; z# q8 q) D2 \" M4 T
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to set-initial-turtle-vars-age
% c# r7 K. K- b9 t2 J let max-wealth max [wealth] of turtles3 j8 C% R2 O6 `0 \+ \" ^ b
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ifelse (wealth <= max-wealth / 3)4 B3 H- ?5 m& w- F
[ set color red / u* C9 l0 U& {6 a. f3 u5 w/ R
set age 04 u/ N, O! f2 ^( a& Q# O1 T
face one-of neighbors4
. n9 X# s3 W t/ g set life-expectancy life-expectancy-min +9 @8 C& U! z* |- A; @+ W F7 {
random life-expectancy-max
6 B7 d$ ~8 j% z8 _5 w set metabolism random 1 + metabolism-low+ x! m, v2 U( r' v
set wealth metabolism + random 30% r7 o+ n2 b8 M9 V* Y9 O% |
set vision 1 + random max-vision `' Q* w" ~4 v8 r* j
set wealth wealth + Wealth-inherited-low ]
" q I% o6 [( Z0 r! ]7 s [ ifelse (wealth <= (max-wealth * 2 / 3))
3 K! `7 {: i2 G' S/ W7 h [ set color yellow * @( u T3 p6 V* Z, s, k
set age 0
- @" t; D* R/ y; n face one-of neighbors4 9 [! C# o" [4 H+ }& c. `- U
set life-expectancy life-expectancy-min +9 a ]- z, k* z$ j% m- l0 t* A
random life-expectancy-max + 10 b6 z% p$ T" S2 q. {
set metabolism 1 + random metabolism-mid
4 `" p5 a M& Q set wealth metabolism + random 309 R q9 M A" q* d
set vision 3 + random max-vision, g. `! h- J$ M O" `+ c) g2 u
set wealth wealth + Wealth-inherited-mid]6 I& Q; D6 @, W- ?% f
[ set color green ( m# y) `* w L e
set age 0% h% b5 q$ @7 W/ F8 ^
face one-of neighbors4
( a, Z: c4 M7 e8 ]. m! @& m( ] set life-expectancy life-expectancy-min +1 ? }" p9 Y! c1 b
random life-expectancy-max + 2( v s8 V1 p% H4 l9 |* X
set metabolism 2 + random metabolism-up
) P. }+ f% v' r% t ~ set wealth metabolism + random 30
! h% X, B' D' t! _' [ set vision 3 + random max-vision
0 E5 o$ s5 f ^ set wealth wealth + Wealth-inherited-up ] ]
2 }! H6 ~) r- `8 O8 O5 L7 T . Y; ^4 [7 L, g. M( o2 G
end( A9 I! S8 h, y- u8 N" s
to set-initial-turtle-vars-wealth
) M, T; Q p0 L* M6 X& v) k let max-wealth max [wealth] of turtles
- N4 E' h' \2 K7 \ set age 0( k1 ]) \- [" y, `/ D
face one-of neighbors4
( e; m1 [2 \& T% v8 u7 |5 U2 J# k set life-expectancy life-expectancy-min +
9 d6 ]7 S" R8 r( d9 p0 J: ~; E8 b, o random life-expectancy-max $ s) m' I; F5 I3 [$ U8 @8 Y2 Q
set metabolism 1 + random metabolism-up
3 `4 m5 q1 m( u0 z( O: _ set wealth metabolism + random 30
Q, w+ t2 O6 i: G, H6 w0 R b set vision 1 + random max-vision , [& K2 M# E; f, ^; E
end. w: a- ]0 x6 a7 T3 h& |
to redistribution
1 U I! l" O0 K, E. llet max-wealth max [wealth] of turtles! g- w' q" x; x6 ^8 O! v1 K
let min-wealth min [wealth] of turtles# W3 z6 ?' a: |; P! S
if (wealth <= max-wealth / 3)
W- v7 c" Z1 e% I3 w# c) m) H [set wealth wealth + Low-income-protection ] ~; z& C# S' Q! ~# ?) E' G6 ~
end! G1 u: m4 n/ T+ C7 a, b6 }# s
7 T: G7 i* ~& ~5 Oto recolor-turtles
! U7 y% {1 X% d6 T4 m let max-wealth max [wealth] of turtles
: r- t; k: U2 [* v! P1 F ask turtles3 }- Z9 A) _& s1 ?& W5 F
[ ifelse (wealth <= max-wealth / 3)
$ O* G6 G, [! {0 H& U* q5 e/ H1 q [ set color red ]
1 e5 m, U# O* S1 W; p5 I [ ifelse (wealth <= (max-wealth * 2 / 3))0 U' q7 F9 F; x3 E5 S5 A0 O
[ set color yellow ]3 `- J; ]; O3 P" f
[ set color green ] ] ]
7 I, t/ b/ y/ e' @% M ask turtles [ifelse show-wealth?2 E$ [' r% M" } ]7 Q- N
[ set label wealth ] W7 X0 b! T8 [9 p
[ set label "" ]]
7 ?' J- w2 [6 \5 [5 D6 Eend2 M: X' h& M4 f
7 a, J2 [* o$ d( ]
to go; U* p& {7 o/ d4 \' m+ H& V
ask turtles4 }/ w* o) j" X* w
[ turn-towards-grain ] : |$ Q2 ]( y* n. {* k
harvest/ O- X# V$ s4 |3 ^
ask turtles
+ C& R E7 j4 [/ w5 b. T- S1 n" @# H. i [ move-eat-age-die ]' g" J2 o$ B- P! E5 R
recolor-turtles
# n! v! H* b7 N- l- t2 D if ticks mod grain-growth-interval = 0. r/ X U$ t8 x7 A
[ ask patches [ grow-grain ] ]
# o. P* ]# e( c8 { . v3 [0 O+ i6 @! x2 k' R7 d
if ticks mod 11 = 0* J0 ~- z; Z: i0 ?* M
[ask turtles
' a; U: P$ O. j [ redistribution ]]" v \/ y) ?( J o/ [8 e+ Z6 C
if ticks mod 5 = 0! b* x& H# k6 a" u# B# k1 w1 s( _, I
[ask turtles
9 {$ V' \) J8 h0 G0 `" \ [ visions ]]9 n9 L5 x! |! w0 i
tick
' r1 P; V) d$ r3 ~" m4 d# Y1 _ update-plots% p$ U7 U- }( I2 w; T5 E
end+ Y" N) ]7 L) W
to visions
9 m4 I! | ~3 N/ P* X% b6 @ set vision vision + 1 8 _8 o! @* U9 v
end' q7 @2 M# B4 b
! M8 O/ k+ B9 L. \+ C8 t# c' y. ~8 Y' e/ c( A& I3 T2 \0 V+ g) W
( R( Y; X/ _1 z; q& Xto turn-towards-grain ) Z2 B3 }/ ?7 p! l- I
set heading 0
! u9 C! r' I, X) a+ I let best-direction 0# J8 l# B+ ^; X! o' ]" F
let best-amount grain-ahead7 `7 k& D3 ^; Z. B
set heading 90
9 T" h# V! G& V! I1 w if (grain-ahead > best-amount)
0 X; Z d9 _& r* ~ [ set best-direction 90+ t$ o% h: @/ }4 _1 c
set best-amount grain-ahead ]2 u- s& E# Z) e2 k: D# P. v
set heading 180
& A$ X% _1 I2 I1 \7 N8 u4 p" h" N8 v if (grain-ahead > best-amount)
* E$ \: Q5 _, P: T' E [ set best-direction 180( `0 o/ }4 @' s; f" h0 \
set best-amount grain-ahead ]
3 T2 L2 l- w4 K set heading 2708 n' _( l& }9 v) q
if (grain-ahead > best-amount)
M( ^. t I7 ]" k( ] [ set best-direction 270
; G# z* O$ i0 y$ f/ R4 e% ^# m set best-amount grain-ahead ]
+ q/ w/ i& T5 i5 y0 c9 I set heading best-direction
" u2 f/ c& f4 m- X- H! p, N6 v- Vend7 A& N- |% M8 Q# ?$ x; d0 |
3 c' K% {% b- W/ m% r$ w. G& ~1 v9 F& | C) N
to-report grain-ahead
7 F* e( L9 q" z, Q let total 01 V7 y/ M* k: ?" r5 A; e
let how-far 1
5 j8 t8 b p3 D% K; I repeat vision
* \/ F [6 z, X7 U. i$ j [ set total total + [grain-here] of patch-ahead how-far
! T% Q* e; G' n, {" J set how-far how-far + 1 ]( }4 Z4 X4 F! V2 ^/ E
report total
0 Z; c9 u# }4 H, N wend9 z0 Q4 v0 F6 B0 A1 e" X! ^, j
, A( Z' O6 q$ `+ w3 rto grow-grain - k$ i+ T# P: `1 |1 J
if (grain-here < max-grain-here). x# u0 E8 U2 ?; ~* l" h6 o
[ set grain-here grain-here + num-grain-grown, q: `, @7 B) Q0 T4 i
if (grain-here > max-grain-here) 6 _- V0 e) a! U" x0 y4 q0 a
[ set grain-here max-grain-here ]
- C5 n9 X& `8 q6 L& d recolor-patch ]
: O' U& T6 [* K; k/ a; {7 u$ Cend& {* T. [' e1 v/ ]: B
to harvest
+ f" H$ _$ } F) P9 v ask turtles
5 ]- m) W# H8 X- z$ @, O [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]% b" M4 p/ H b$ B; f
ask turtles
! q* t8 q9 V' G7 [6 ? [ set grain-here 0
2 z+ F# q- K% v( z* k recolor-patch ]; I' S. m* y" ~( a7 P
4 O2 o/ B7 x. K2 \6 W, r" g
end% d; i( B3 Z- q
& F+ A/ ]: E7 A* ]0 B0 c) P: x
to move-eat-age-die 4 X6 L- z; S' j V/ x1 D8 ]
fd 1
7 ~. b4 s/ [: Q6 M4 ? set wealth (wealth - metabolism)
4 j- E& H! r( b1 x8 U set age (age + 1)
9 i4 o5 L* a T. F H& |# h if (age >= life-expectancy)
3 g5 s8 }8 \ \( v [ set-initial-turtle-vars-age ]
5 C; M, _ H. Q9 j" u: D1 Q; u if (wealth < 0)9 k# x0 g( V. H$ P- W! b
[ set-initial-turtle-vars-wealth ]; G$ X0 k0 L; }0 ~; R5 k$ n
! j4 w/ w3 A1 C8 ^. n& C
end- g% F: W& {. Z8 s
) Z% l& y$ P# \ X4 ~2 H
! `; n+ e4 {$ H) {" F! ato setup-plots9 Z' `) P/ F/ i/ J/ } P8 R4 b
set-current-plot "Class Plot" f1 `+ T1 b' M. N; J* ]& M8 H4 [
set-plot-y-range 0 num-people, P4 n' K5 @: H, _6 t
set-current-plot "Class Histogram"
2 y% e+ z4 L/ C& O5 C" S set-plot-y-range 0 num-people
$ O+ P% B4 C. Q `- Tend* }( x8 M$ ^+ p8 B' @: F- i) q7 {1 o
" @1 a7 J4 |" u) w2 R
to update-plots
! c/ y [5 F- q, |1 Q update-class-plot; R' r5 _8 H; c7 m) d
update-class-histogram
% M! q- I( c0 e: R update-lorenz-and-gini-plots r; H/ E D" B3 ~& d: T
end4 ~& s) F7 g+ @) m2 T* H8 r
& r. s# e0 `' C8 _+ [ F t; _
to update-class-plot
# M( ?7 ]1 p& K( p, z* s4 J i set-current-plot "Class Plot", N- k8 ~7 K7 ~ m7 r& r; [% r
set-current-plot-pen "low"
/ w F6 P4 y6 N' o/ i; i( @8 Y" c plot count turtles with [color = red]5 K( I4 a- x h1 C
set-current-plot-pen "mid"/ [5 P( |$ d6 @& j
plot count turtles with [color = yellow]
( m5 e( m& ]3 A% z# p' W set-current-plot-pen "up"( w: A% U* K$ Z8 Z
plot count turtles with [color = green]
& u8 `. V1 W& S5 Y7 w7 K \0 i; gend3 I- {3 D6 r$ O
* p1 I2 q0 W7 ?/ yto update-class-histogram$ u& f/ r( H6 \6 @% \
set-current-plot "Class Histogram", |& X# h' N' i
plot-pen-reset Q7 G) [# R! L5 n# Z
set-plot-pen-color red' i; I" i) l$ y$ z K
plot count turtles with [color = red]
% g' J( Q i$ Q& L* u t0 F set-plot-pen-color yellow/ f2 I6 w6 \% L* e4 ]2 ]
plot count turtles with [color = yellow]
}" Y: @- }: f/ I set-plot-pen-color green
. w! e. d2 A- Z% y' @3 Z H plot count turtles with [color = green]
9 ], R; l* }/ g4 e) \end
5 M4 M6 r8 q. f: sto update-lorenz-and-gini-plots4 \: J; x0 ] S6 M- _' F% W4 u
set-current-plot "Lorenz Curve"
$ M: Q( V8 _4 V8 U3 o5 {$ t; B3 x clear-plot
4 o' I) U w+ J$ H6 x# ~
& D- S% u" m( Y( t+ J4 Q5 R set-current-plot-pen "equal"3 ~, t: L9 A0 k
plot 0' @6 H( s" [& s- q8 e
plot 100
P4 e7 u+ [- G+ [0 ~( d) j
( a* I. g1 b" ] n4 u set-current-plot-pen "lorenz"
; Y, x2 n" U6 l# j set-plot-pen-interval 100 / num-people
9 t6 y- `/ Z, Q S4 V* P2 T plot 0
' g" l7 P" O/ t, d: W# i7 `7 |, f+ C! q* T w3 t
let sorted-wealths sort [wealth] of turtles
* a4 l2 b l9 O- ?! p let total-wealth sum sorted-wealths# l* v x @$ D+ o+ V& O0 }+ I2 \
let wealth-sum-so-far 0
5 Q- e, O; j2 Z! v let index 09 N8 |) E6 \8 ]" }2 c, P
let gini-index-reserve 0
. p; ~7 ]" u0 e9 T+ I `% z+ t" c- v0 m1 d: P. y
repeat num-people [
3 E/ D' n+ n. u- y; M6 C" ]( K; i3 X$ H' j set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
6 r9 _# d( u% f+ k3 O plot (wealth-sum-so-far / total-wealth) * 100
4 ~$ R/ j0 g B/ R0 d set index (index + 1)4 O x9 t% j) U4 Y( C- b4 p& M
set gini-index-reserve
& J6 k0 g" p4 L7 Q+ ~; j- T7 P gini-index-reserve +7 q9 A. ?0 R! J" R; W, [/ b5 Z
(index / num-people) -
& O/ B, N- B5 ~1 r) f (wealth-sum-so-far / total-wealth)
1 Y4 ~4 y m" G. o5 f* J: L ]% n8 {! Z9 T, Q0 T( l+ v3 }
) _# v ~. Z9 T8 X set-current-plot "Gini-Index v. Time"
/ j& A/ [7 ~: ~ plot (gini-index-reserve / num-people) / area-of-equality-triangle/ g) Q+ }; x3 \/ e
end( U; I( w0 s) G. d( F m
to-report area-of-equality-triangle
* E" z9 l/ I/ F% E: b5 N$ ]* y report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
9 N' X- W2 f% |) {end |