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
5 C# u1 o2 ?8 v( Wglobals
# M! i/ P0 U* U! f[
- Q/ `/ b, o: \/ L# ], e max-grain $ H1 o# K6 R0 @: N. e' g" i/ p
4 I0 N% J' z3 N7 [/ h* Q" Q! Q]7 L' q$ G6 t3 x P
1 l+ |5 O0 X7 Npatches-own
6 X( n4 Z5 |0 @* t+ s4 J* e9 u& l[/ ~ v. t5 s+ o& ?5 F7 H& ~$ }- }
grain-here : V; g1 W# _0 }* p, L( _1 S
max-grain-here
# Q6 Y$ j; M8 @3 e; V5 O. R+ U]( z* e; R$ `6 k: l/ u- E& j( e
7 U. b7 J( t% V! h* T- vturtles-own% m! O2 B; `# {# C, |' w
[0 |( V. C8 ]9 |1 z
age 9 c. Q9 l7 ]. g/ ]+ b( w& `
wealth
1 Q% B H& E0 g- F' S0 H# ] life-expectancy
. T( S' m8 {/ k$ e, m; G: ?0 K metabolism
9 o- U( S$ R* T, ^3 Z+ j7 l vision" K3 g! G; U3 f3 U. j$ ?/ o$ p
inherited
$ V6 M9 z- x% ]" x" d]% J+ ?% N; |3 K& P" {& }
; u, K1 Z: ]% |6 @4 \( H
. Y( x' J) }- ] Qto setup
% S: p# J' S& q a: c ca, n( @8 i) Y6 }9 g: H0 v
set max-grain 50/ t5 c" e* ]0 f3 O
setup-patches
& z/ d4 _9 V w$ ]% R setup-turtles
; O6 P0 { W$ e r8 r+ y( G setup-plots) n% v' n/ `* O5 m" t! S- _8 `
update-plots/ k% @1 n- s5 @4 H. d
end% b! D* X' Q2 H+ b5 s- e
to setup-patches
8 a! m3 s6 @6 w! } ask patches; v* y @. Z% p
[ set max-grain-here 0 P; a: v, J* i2 q* W' }& c6 l
if (random-float 100.0) <= percent-best-land
2 ^5 m! h; G# h T) E/ I [ set max-grain-here max-grain5 f6 Q5 }) E8 ]8 g) }
set grain-here max-grain-here ] ]+ |! {6 c1 H: r. x( {7 q/ s# Z
repeat 5; Y, _7 [# s2 l( G/ ^) Y: @
[ ask patches with [max-grain-here != 0]0 ~3 s+ v& Z* H' S
[ set grain-here max-grain-here ]
! z5 F' G8 y$ V `- _: @) ^ diffuse grain-here 0.5 ]
% e2 Q+ d' [: i9 `7 d repeat 10
" q- I! Z0 |7 \! q [ diffuse grain-here 0.5]
$ t3 R5 ^& @9 C+ v6 J; Q% P' u ask patches/ m0 i2 d, C3 X2 d; ?4 T
[ set grain-here floor grain-here 0 `$ b( K! N, q, n6 O% t
set max-grain-here grain-here
1 Z. j f3 |$ U0 k6 E. l recolor-patch ]
" D7 D3 b7 b3 H; [. N0 gend$ J8 @' \% m2 l: s7 z
to recolor-patch
5 g4 A6 R8 T0 ]/ z# G8 I9 z$ a; O, Z set pcolor scale-color sky grain-here 0 max-grain
- B4 ]1 F, ?5 w4 F, F) Lend
5 Q$ N' W4 E( q7 @: ]3 wto setup-turtles7 P( o8 B: |" D' N, Q) D! t
set-default-shape turtles "person"
: T; B2 C- Q8 `2 f crt num-people
2 G) n) L: x9 H [ move-to one-of patches
' B; @) @$ U. x set size 1.5
6 w! T7 U: u9 F+ L# h set-initial-turtle-vars-age4 ]7 Q% q( X, I- ~. N2 y/ Y0 l
set-initial-turtle-vars-wealth
' k) C) `0 v- E7 D set age random life-expectancy ]
5 R! M8 r/ ]# Z( E) o" E0 P recolor-turtles
% {! n9 }' o. i) @; gend
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/ I3 @+ b. _8 Y3 m$ Gto set-initial-turtle-vars-age' s- j! ~0 }9 d, I$ F
let max-wealth max [wealth] of turtles
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$ ]) g/ H) F- M2 P' ]+ r ifelse (wealth <= max-wealth / 3)
; u6 `7 U9 z* |, N4 Z( H [ set color red
- _7 `0 u6 N3 p% A5 p% { set age 0 |8 y& I( |' [0 K" E! p! ^/ ^
face one-of neighbors4
6 B- a( a8 i, T' D; O set life-expectancy life-expectancy-min +
3 m1 B& }0 Z5 X7 \' Q random life-expectancy-max 6 f- z2 p- B8 O1 o
set metabolism random 1 + metabolism-low& J) l( m; L- P/ m4 i0 ^6 ~; \8 X. P
set wealth metabolism + random 30
! V9 O# Y |$ f/ j1 J set vision 1 + random max-vision/ C+ u5 n: X" l* J% N% d
set wealth wealth + Wealth-inherited-low ]
. U, B( B9 p7 K2 e [ ifelse (wealth <= (max-wealth * 2 / 3))6 C8 \6 _, Z, }' }3 c+ l1 e: I1 s
[ set color yellow * @. C$ J8 a0 l: h7 e
set age 0( y- g4 e! N& `: k9 e0 |5 u: c& C6 K
face one-of neighbors4
- I/ ~4 b3 j' g& O4 y& M set life-expectancy life-expectancy-min +( E; ^% {1 z0 {/ c- P2 m4 ?
random life-expectancy-max + 1
$ n* b" n$ c9 w9 O set metabolism 1 + random metabolism-mid
+ `, d& ]3 C/ C set wealth metabolism + random 303 z" J2 Q7 |/ Z7 m9 @0 M0 Z* _8 i; J
set vision 3 + random max-vision
: z0 ~1 k! r; g! S! g# F Y set wealth wealth + Wealth-inherited-mid]
! J h- c+ M# h2 l [ set color green
8 W, [$ P- v8 p% ^7 x3 |3 x1 { set age 0
/ N- s H$ ?5 ^, R& W6 ^7 W1 k2 C- a% e face one-of neighbors4
' f; N; h) A5 r+ ~& u set life-expectancy life-expectancy-min ++ [- o7 Q- Q, q8 U7 X( R: e
random life-expectancy-max + 2
) \, {7 t7 d/ ~6 b set metabolism 2 + random metabolism-up
3 v8 j8 ~7 Y. A set wealth metabolism + random 30, E. {" H/ L6 t
set vision 3 + random max-vision
3 ?6 `5 W& x% i; Q1 s2 y set wealth wealth + Wealth-inherited-up ] ]
8 b; H6 Z! @* o
# a) Y; K) ^5 x$ {end, ~, i; k- T: \# q4 a9 `0 U
to set-initial-turtle-vars-wealth
! B' U: p$ J( l. W0 M let max-wealth max [wealth] of turtles+ ~2 A$ {/ ?9 d/ M! @9 q
set age 0
, ^1 {7 y& q$ u: N+ h! j face one-of neighbors4 6 h6 p' V+ q! n9 r. Q7 b# B8 M
set life-expectancy life-expectancy-min +- W, S2 \, _6 e \
random life-expectancy-max + x2 i) h) w2 n
set metabolism 1 + random metabolism-up9 p) e# j' n6 Y' C! L
set wealth metabolism + random 30& P$ z4 w) G4 p. L
set vision 1 + random max-vision - Z/ {2 j# B$ q: g2 l% l
end! B; K. s) [0 J
to redistribution
3 S7 `# a: a$ W+ w( Slet max-wealth max [wealth] of turtles
4 g/ h+ w( F6 V6 Dlet min-wealth min [wealth] of turtles
6 T7 P! k$ G* l- Kif (wealth <= max-wealth / 3)
2 X8 h: Q! t; O9 M, R! b [set wealth wealth + Low-income-protection ]
0 }/ V6 }; a" X' \" yend" {, R( `4 N. |+ J
% p2 k3 F0 x: v4 M$ H8 F' \to recolor-turtles7 k. ?# H6 c5 w! k$ ^
let max-wealth max [wealth] of turtles+ G9 U& `+ t/ h: P
ask turtles
/ t1 t N+ o& ^ [ ifelse (wealth <= max-wealth / 3)1 W: F0 B- I m* b
[ set color red ]
! E E! n% `* f& }; A' N [ ifelse (wealth <= (max-wealth * 2 / 3))
( i! t3 k9 Y' u( Q# L [ set color yellow ]# F: c9 d1 E8 f8 d6 Q" q! d0 C
[ set color green ] ] ]$ _& x( C/ q. I# i. N2 Z& T
ask turtles [ifelse show-wealth?# P2 @+ z2 i6 B, t
[ set label wealth ]: a9 {% d2 f7 M6 s3 ~, Q1 Z
[ set label "" ]]
$ Q3 a/ B$ ~" X/ ?end
; Y9 s% } S0 h5 ~" S( z. v$ @- j' ^6 `4 ?+ O4 q, j
to go
0 v5 U# c. g( h' u2 ?3 k" f# Y# I ask turtles
8 [% ?$ n4 {& M7 z D7 C% e [ turn-towards-grain ]
, E0 {) S3 w6 \5 T harvest
: c" J% T& H, B {$ N/ f4 `" h, j. Z ask turtles
3 Z) i9 n, `# a [ move-eat-age-die ]
' H/ z% B3 Z2 S1 v& c recolor-turtles
9 z) H+ v* G1 A* e9 \2 x if ticks mod grain-growth-interval = 0
9 ^- U9 m. h' n5 P5 U! h5 E [ ask patches [ grow-grain ] ]
5 j5 q8 w/ }, N0 t: }+ n
" }3 X5 B& Q! H5 I1 r if ticks mod 11 = 09 |( r: c' Z3 F5 q2 S, i7 K/ v
[ask turtles; s3 B' _: J! b- v, z
[ redistribution ]]
6 ]; B. C9 {3 A( V2 l3 J8 W if ticks mod 5 = 04 ? H, P$ ^+ V3 b' K( D/ B3 n+ }+ L
[ask turtles: X0 Z) a- W5 o* T) S1 `2 a
[ visions ]]" n6 p9 t! P% e- ?3 s9 T) D
tick. C! W8 x/ f ^5 Y& P9 n7 ~- z
update-plots- ]- D C" e' {) M& {
end5 I3 B: D- S% a& q2 B% x# j
to visions
! P/ K1 a2 ]! q, [' D2 z set vision vision + 1 % P. o" a1 v1 A0 M e d
end- h& l1 r i- x1 @: A# v6 E
4 O+ p# v$ l6 y( z
$ u1 N2 B: Y! a1 N# q8 y- g1 l Y5 ?- i) q9 U
to turn-towards-grain
9 z/ `; g5 b3 p4 d+ D set heading 0
( U7 ^6 T/ F2 ~$ j$ G let best-direction 0
0 L, K% G7 e, G# r, z2 ]& L let best-amount grain-ahead
" s- R( e; F. F& C. _ set heading 90
6 u) e1 O& O$ g( M if (grain-ahead > best-amount)1 d( h& g$ Z1 | f
[ set best-direction 90
; ^" i* J6 O5 {. L+ m; L set best-amount grain-ahead ]9 w3 ~/ {( |2 D4 x( ^9 c
set heading 180
" A* q" X& Q; P4 P% Q! A$ a+ k if (grain-ahead > best-amount)
* D' y1 T6 m# ~- V [ set best-direction 1805 g7 ^0 U& e: Z) N m* y
set best-amount grain-ahead ]! ]* ^+ a4 g8 `9 b! }
set heading 270
) t% x3 j: y1 K8 R- ? if (grain-ahead > best-amount)( Z+ s O' |6 E R" H2 m4 t% s7 y
[ set best-direction 270
9 z0 l) B8 _! [7 i: a0 g7 v& G set best-amount grain-ahead ]" r+ N# r* \4 M: S5 c- N% l
set heading best-direction! Y# Q$ u4 R% o2 N0 b Z
end* ^# @6 a# E% w+ k
$ V$ l# G0 V, @, {1 t- j# W
, s. d+ O2 R. X4 ], K2 C; E
to-report grain-ahead
4 ]: s2 G5 g/ X) @, }- A+ H S' _ let total 0
* x' b5 ~3 \, Z8 X1 h let how-far 1, T V# n1 G4 t5 p, E p
repeat vision- u4 J+ \8 F0 F9 N# g2 O! U# K; |, J! ~
[ set total total + [grain-here] of patch-ahead how-far
9 [. D* m; U. H: S$ H9 K% R set how-far how-far + 1 ]
$ K/ l( c3 A) _5 F report total
3 f8 X2 C$ i- d5 s. Y+ @6 Eend
4 _# h+ Z2 E+ x
$ ]0 b# @( G; Bto grow-grain
. Q- X& _$ G8 Q/ p7 n4 X' A) W: K if (grain-here < max-grain-here)1 A- X' K6 v }" ^* a; u
[ set grain-here grain-here + num-grain-grown! H s$ T1 E8 C7 r9 r; z
if (grain-here > max-grain-here)
) Z- P" \( J0 t. A5 s/ \, P [ set grain-here max-grain-here ]
" Z3 G. q' P/ Z- V recolor-patch ]
* u- S3 \$ u& d' b9 Lend6 f6 ] P) F' K& K5 y' H! ^4 ]( a
to harvest
* G2 S0 L3 g/ |5 b: s7 h ask turtles/ \5 a8 r# l, t+ i# n8 H* }0 K
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
& F# F, Q j2 a' R ask turtles
+ ~% Z/ m* U9 X [ set grain-here 0
8 c. @3 I9 g, v; G& c2 X+ |6 q/ g recolor-patch ]6 ?6 c9 |* \6 e& Z2 L
: @4 p5 {+ J9 Dend U$ [7 H8 C, F" o
8 b5 {1 v& v* q; @5 ^$ W8 K2 ?to move-eat-age-die
; e+ y) U6 z) J* L" W fd 1
) L4 o) Z; e: _7 B8 m3 O set wealth (wealth - metabolism)
0 e" L* o2 a6 O' }* D) d' Q4 ~ set age (age + 1)7 M, V7 Y4 V! X# _, r* [* _8 [
if (age >= life-expectancy)9 ]- p/ C5 c+ s" u# g. C* V
[ set-initial-turtle-vars-age ]
' S3 q" R3 d, h if (wealth < 0)( s( c5 T V; f1 J/ c- w* q$ Q+ a
[ set-initial-turtle-vars-wealth ]+ T' T8 ^" C8 D7 u
0 A2 F3 D% q" ~# _% i
end
1 ^+ V% e3 P, y9 O8 g! o; U5 g. [# N
( p9 o( q& I* U J4 l/ g$ yto setup-plots; J; b8 U5 Z, ?! N
set-current-plot "Class Plot"
3 l, B3 i3 @& n; N1 K3 F set-plot-y-range 0 num-people
+ @( {% @+ f* l4 X set-current-plot "Class Histogram"
3 w( Z3 |4 i; o. G6 Z set-plot-y-range 0 num-people: I! Y/ U" t' C1 V/ u
end' c" ]$ x3 }& C' X2 m
, [! ], ^0 \1 ^1 j
to update-plots
$ B/ r3 }) F8 x, u- c6 J update-class-plot5 v# D0 }5 `$ D7 \, s6 _2 L' G
update-class-histogram2 k8 Q+ l$ F& }
update-lorenz-and-gini-plots' I9 z" G6 N5 x3 l2 n& [1 \+ R# E
end, L! U: e3 K: a7 z# M
; l- Z' M$ ]. s
to update-class-plot8 r D$ e2 n5 O$ S0 B
set-current-plot "Class Plot"
- b2 x4 F' k3 b1 x- z% N set-current-plot-pen "low"
: ^/ N0 w8 i4 ?9 h' k plot count turtles with [color = red]
0 x6 S* q& U! g, @' h1 z5 Y2 F set-current-plot-pen "mid"& {' }8 ^) D- J- I
plot count turtles with [color = yellow]4 ~/ c$ ]/ B# W. f5 `8 q
set-current-plot-pen "up". \% l: I# ?; n% x: e
plot count turtles with [color = green]/ H" Q) I: c) t2 S: V9 U
end% |# o, E- Z. u6 @7 E* a) \# L
% B# q* g) s n% D$ wto update-class-histogram
% K1 i: g, N: o1 T set-current-plot "Class Histogram"
+ N- K" B! m8 N! \7 G6 I plot-pen-reset
0 @/ ^9 N0 b5 Z3 o6 f: H+ ^ set-plot-pen-color red
1 L* J* \1 O, ~( k; D4 J plot count turtles with [color = red]' Y6 Z6 c1 V! ]; t
set-plot-pen-color yellow
& `5 u) l; N+ [2 E: {: s plot count turtles with [color = yellow] g: x5 F# e- y/ a* A2 p
set-plot-pen-color green# |" B! ?/ H0 P8 S8 t5 @
plot count turtles with [color = green]' F4 L* S* G/ E: e
end
8 `/ f, ^) Q1 dto update-lorenz-and-gini-plots6 v5 P) r& s2 ~5 v. F' e, u
set-current-plot "Lorenz Curve"
% p) f: C, S2 I, r/ l2 V4 ]9 [ clear-plot
, V4 L2 i/ e; A+ a
, g7 s# n" `9 U: A9 r set-current-plot-pen "equal"* ^6 L; Q; K( S. _: \: C2 N$ w
plot 0
( f7 r- p' k* Z9 h6 ] plot 100. @, x& _" F, W) ]6 Z$ s* x+ _( }
: w. v/ ?+ l5 h9 N; i2 [ set-current-plot-pen "lorenz"
: h1 i+ f( }2 q1 I+ J) e; |: ~ set-plot-pen-interval 100 / num-people7 B- q- i& V9 i; N
plot 07 g1 G/ g( K" ?4 K- \, b; @; |0 ?5 R" D
8 r8 C& r- d& h; e. o" \9 ~ let sorted-wealths sort [wealth] of turtles
+ U, l" x+ u+ z- ` let total-wealth sum sorted-wealths
( r8 M: c0 n0 x9 T( a/ ^ let wealth-sum-so-far 0
G* C/ K+ u$ U. k6 p let index 09 z) B3 K( q9 z- w0 z4 d
let gini-index-reserve 0
! }' C4 j4 |+ a; D
* P: V1 W- S+ I2 s. ? repeat num-people [
+ ~5 K$ e- G4 P9 X N$ ~ set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)5 X& \1 d& a' ~5 W. U
plot (wealth-sum-so-far / total-wealth) * 100
0 t$ S* }0 Z& ~; A3 o set index (index + 1)- ~9 `: n* g- b' J, S* Q; \1 F
set gini-index-reserve
) J3 j0 W3 f, Q# m) ~+ v gini-index-reserve +$ |- q A; C1 b6 {
(index / num-people) -/ R* B; u) I' S, h/ s1 L6 Y% w2 L* |+ v
(wealth-sum-so-far / total-wealth)+ y/ ^- m' r C( g# ~, u9 h% k3 w
]/ d I3 u m5 W% l
. @! l" U" g$ E' B# P set-current-plot "Gini-Index v. Time"
6 q* U- ~; U- m' K plot (gini-index-reserve / num-people) / area-of-equality-triangle8 [4 R9 _8 Z5 U5 J' o G+ b
end
& H; r8 N/ k" y( m* ~1 @5 z0 kto-report area-of-equality-triangle
3 V5 `/ i3 ]9 v Q report (num-people * (num-people - 1) / 2) / (num-people ^ 2)) a3 t4 A9 a0 k
end |