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
: E: J$ E+ T" u( _5 P+ Nglobals
: V; E) |7 Z I6 A5 z$ T7 p[
+ E! F' ^$ W% F8 Y8 j5 \1 o( v* r max-grain 3 c& N8 z% ]9 f- ]4 p
9 K' i- o. M7 v! W1 S" Y, e) t
]
9 m4 ]# ^6 A) n7 B& W( S( J/ V" d2 u+ ]0 v% i* |
patches-own
' T \; @+ Y* \% h' D' q[
" I& N% d7 k" k0 k7 a" M1 M+ r7 \) Z grain-here
8 ^6 \, `$ P o( t H* {& R' Z max-grain-here
; k1 C* \- m# U% J]
# A5 ~# g$ D5 m) c4 F
6 B! [+ y6 L, q. S1 n- xturtles-own+ F; e1 `, L6 [# ~
[
' q* T. w# R Z8 ? a+ O, y8 b& C7 U age " g: J6 e- J0 n8 z% M
wealth 2 D' b* p# C; ^3 y; u3 ~
life-expectancy
$ i5 c: J: u, ^+ ]8 I metabolism
% ^+ ^ D1 ?4 Y- O6 i; t9 I vision" G# P# T0 u# A, O3 E' D
inherited 0 ]. n( a7 ?9 [4 ?8 S0 ~
]' p& y0 t# H" b$ ~7 p& ~
% B; \2 J! N/ d6 p% U7 \9 U8 ]
. m- l! w* Q* y3 r9 z' R; J, e% z+ Ato setup
7 I8 y) X' U' C1 } ca
) e" |* |* W2 P2 h set max-grain 50
, y" O$ X: ^7 Q1 c setup-patches
4 b6 @; @! {7 o( ]$ K setup-turtles$ [8 \9 }% J& h/ F4 D) e0 Q
setup-plots
8 R8 E' Z" l. [1 I' H! a update-plots
( M! r5 U6 j) k4 C/ p3 Vend6 { a$ `8 m! X! h6 D) U
to setup-patches$ ^/ h5 L( W3 d9 ?7 n6 K4 ^
ask patches0 l) U/ S7 L- F: N4 g
[ set max-grain-here 0
( y% b* j7 `, g8 i' J2 P( m if (random-float 100.0) <= percent-best-land
1 y) }) y" ^6 B( [4 x! S+ D; g [ set max-grain-here max-grain
" G9 ?0 L2 v# T& \% R, ~/ f* A set grain-here max-grain-here ] ]
9 N6 m1 l7 b" e0 E) {7 R repeat 5# i' w# y. l. O5 C( O, [
[ ask patches with [max-grain-here != 0]; J6 }# u! U9 b/ |, P- H
[ set grain-here max-grain-here ], I6 J" ^4 B; C; W i I
diffuse grain-here 0.5 ]1 t. @7 B# Z5 q* `) k
repeat 10! g! {: g9 Z: f5 i$ D( D; l
[ diffuse grain-here 0.5]
G2 R1 ^2 W; s. E4 @, s ask patches* Y! M, P9 |: u4 d8 y) ?$ c
[ set grain-here floor grain-here
7 E% O( r- v. d set max-grain-here grain-here & ^; @& y' Y: G' L) X6 K
recolor-patch ]
' h- l! v! h' G# Eend! ?# `+ \2 r) b( ~# J: p9 x% q# J
to recolor-patch
, Y0 l* J4 d$ J- w. `6 Q set pcolor scale-color sky grain-here 0 max-grain2 \8 v$ u: w- y. n0 G$ ^ l2 X
end' s3 r8 q- _: S- ^, J
to setup-turtles& z! w# J7 E. D; p7 A/ [
set-default-shape turtles "person"$ B: P& H2 I p- D. s
crt num-people! i# g7 P7 ^2 p# d
[ move-to one-of patches 2 \5 |6 ]- g9 w2 b. c
set size 1.5
& Y, c# `: \$ X! P6 Q4 c3 { set-initial-turtle-vars-age
% y0 L8 _3 y4 o. L8 t4 `8 H' R+ C set-initial-turtle-vars-wealth/ `: K" m; f: ?& f( M
set age random life-expectancy ]
+ V( ?: V6 z# m$ {: l recolor-turtles
5 p1 K: k/ D1 R2 A- Fend
* V$ _/ [. v1 W" _5 l% o8 U f& i0 M" f
to set-initial-turtle-vars-age/ S% D. h" t1 z6 F) j
let max-wealth max [wealth] of turtles$ B2 x! {& _. X1 u/ T9 D4 g9 ~
9 k, j; Y0 m# q ifelse (wealth <= max-wealth / 3)
. u2 Y" w8 O6 A. k8 N [ set color red / H! P+ Y2 |5 |( G8 ^( r! l7 C
set age 0
3 k$ t2 g8 O9 ?8 N face one-of neighbors4
& W, d; Z6 [" G3 M set life-expectancy life-expectancy-min +* N; {1 i7 ?% y2 z( m0 C& x
random life-expectancy-max * A8 ^* @1 A }3 }6 `! n& g
set metabolism random 1 + metabolism-low
4 R$ u2 S9 G7 M9 m! G set wealth metabolism + random 308 S; K' k' @' @6 i
set vision 1 + random max-vision- o3 [0 m2 W/ @
set wealth wealth + Wealth-inherited-low ]) H" t/ }2 M7 v3 i5 N
[ ifelse (wealth <= (max-wealth * 2 / 3)). F) _: F* A- l0 ]5 T
[ set color yellow
0 }$ C Y1 [% o4 h1 H1 B! v set age 0* N( ~: |; }. u) O" y
face one-of neighbors4
+ R1 x# P, [8 | set life-expectancy life-expectancy-min +% R8 f' G7 E& Z8 A/ ?( q
random life-expectancy-max + 1
0 R9 E7 i/ T2 z* m/ a" N: ?. i6 ] set metabolism 1 + random metabolism-mid9 z( R1 L4 P3 _$ G
set wealth metabolism + random 30
& b2 E! a* w* I' h8 ^! p6 R+ y$ m set vision 3 + random max-vision& [1 ^" e8 T5 {$ r# ^! }, x
set wealth wealth + Wealth-inherited-mid]
* ~! ^1 G( O6 v& a) h [ set color green
" O8 {3 L. b5 a: P' w7 ]% P set age 0' {6 T- j, x( _$ y: Q( i
face one-of neighbors4
2 E, b2 R! m9 c: b7 f set life-expectancy life-expectancy-min +/ y( r7 Z8 v4 w
random life-expectancy-max + 2
0 Z$ E/ U/ g& N# | set metabolism 2 + random metabolism-up
0 w8 P$ f# A& D- j( n! i set wealth metabolism + random 30" }' p$ Y5 b% t3 Q1 f
set vision 3 + random max-vision0 v+ v8 f6 _# p" a( z" a& @' Z
set wealth wealth + Wealth-inherited-up ] ] 8 d* p% q+ K0 j+ {
8 y, B C5 H9 ~) ^6 B
end
& r+ r4 V2 \# e$ u7 ]$ Fto set-initial-turtle-vars-wealth% n( \. Z& e& E. h6 T
let max-wealth max [wealth] of turtles+ b: E! u2 _8 Q( y, U) a$ I
set age 01 O+ B" @6 `% H1 y- C# e ~
face one-of neighbors4
+ v! M2 |; Z l8 w3 ^$ u set life-expectancy life-expectancy-min +
: _" ]& e0 X; z* S K random life-expectancy-max # u5 S5 e p. X) v- J1 l# d
set metabolism 1 + random metabolism-up7 i3 Y+ Q1 x8 p
set wealth metabolism + random 30# ?9 t! ^3 n3 f! n. l
set vision 1 + random max-vision " {/ X) N4 a1 |% L/ S* T
end
- N7 z6 s+ |$ |+ yto redistribution9 H; S3 m1 s& {) n
let max-wealth max [wealth] of turtles2 L5 s' w; `' W
let min-wealth min [wealth] of turtles
( b: I+ f6 d2 v) n& Q4 n+ T! }if (wealth <= max-wealth / 3)
' U: r9 q9 Z9 a( m% }# t [set wealth wealth + Low-income-protection ]6 ?- N. D3 D F3 Y6 h4 _! L
end( C3 C& Z% k4 M; d q, }
# m. s) `0 B5 N6 R$ }; c
to recolor-turtles
& L$ A+ ]8 m6 J let max-wealth max [wealth] of turtles
I7 L1 i. i# {2 _; q ~ ask turtles
6 x" i/ o; U3 k/ `# s0 b9 S5 \ [ ifelse (wealth <= max-wealth / 3)& g* P$ f$ p% c$ b9 ~+ [
[ set color red ]3 J; s3 J X* j1 X% m2 F5 o; o
[ ifelse (wealth <= (max-wealth * 2 / 3))
U: u( r3 w! x: E* ]2 M [ set color yellow ]4 o5 }9 \2 ^( ^0 g# x
[ set color green ] ] ]6 _, }: }5 v9 S) j
ask turtles [ifelse show-wealth?
! P9 k6 o- e, C1 j [ set label wealth ]
( J- s0 O/ ]! l& F4 N; S# a [ set label "" ]]/ \/ p- B+ Y* `# o5 n
end2 C! F/ L4 P ?
5 V) T/ X- R0 P6 j k5 eto go
/ {- ` D5 U6 s) R9 p ask turtles
& \1 }1 H1 W1 w! l [ turn-towards-grain ] ; @% o" p" y/ B6 G
harvest+ D5 j0 B( ?# l" T6 w+ T% c" n, \: w
ask turtles2 p+ _: c$ U! B4 }6 F! t2 k
[ move-eat-age-die ]% \$ y, }0 D7 K7 M' J
recolor-turtles
. t+ Q2 ~4 [! x if ticks mod grain-growth-interval = 0
, ?8 w8 m' Y3 ^# X8 K [ ask patches [ grow-grain ] ]% [7 q; C6 N: w! C
( \/ o+ H! i+ T6 M! \( F
if ticks mod 11 = 0
( N& a: u% J# \0 p4 X4 d [ask turtles
* Q6 A; @# j m G) p' l' C3 J1 ` [ redistribution ]]
9 j8 j9 \: N, U7 O" P- G$ T" C0 u if ticks mod 5 = 0. V. f+ |+ W! A; z
[ask turtles
" }1 j3 e# i7 L. p3 x [ visions ]]
! P) L! {$ u4 Z: x tick; s# A4 e0 o7 e2 h
update-plots n! s3 s+ L4 T' \0 j% j. s6 r
end
. R6 A! z. W: K( U& s8 @1 y( Vto visions+ s9 ?( B5 z! K7 [
set vision vision + 1 , v. h# R0 y5 z7 M. G3 \
end$ g$ j* l" w: m {0 d3 a4 V' N
7 j+ x) V/ E2 Z7 M! T% M: i& d" p3 r! T( w' V, f
- M# `3 j8 r. ]to turn-towards-grain # O+ R) @6 g# J; ^' z. r A
set heading 0
$ Y* b6 T& S9 v' l let best-direction 0- ~+ t6 B) D; u; d0 N: M" V U# t
let best-amount grain-ahead: E+ w) T# s' h* s7 h' d, z4 h
set heading 901 U. R# z7 _- j/ y
if (grain-ahead > best-amount)
$ D8 A& W) T; _/ _7 e0 k! e [ set best-direction 903 e- r) I0 z8 S* w$ {) ^( n
set best-amount grain-ahead ]
0 u. s9 s; `" B5 m set heading 1807 o. c p. C# \/ W
if (grain-ahead > best-amount)
: m s3 [. I S: m7 j [ set best-direction 180: V3 W4 c+ W( `, X# _1 s4 F8 W) {* u
set best-amount grain-ahead ]' n! n1 n4 J e' R/ C
set heading 270( z0 ?7 m$ ?" Z, J7 S+ H! t, K7 _% Q
if (grain-ahead > best-amount)
' O v |( P7 r0 I. s5 n# D; n [ set best-direction 270
+ R, C5 t8 S# z8 `4 k& s' ]* | set best-amount grain-ahead ]: \& [& [5 v. R7 \9 m
set heading best-direction! ? x, A8 d& \
end* `5 j% P% E# V6 D
% Q) S; k% ^* r; u8 o6 H' p3 f
9 M' k# Q+ q$ Pto-report grain-ahead 2 e5 [" v7 X( s8 _' H
let total 0- B) R% ]0 D' X9 n4 {5 `4 M
let how-far 1
9 \8 y' ?% C0 n2 [% A2 s2 O1 T repeat vision& v" J$ y1 H! p+ v
[ set total total + [grain-here] of patch-ahead how-far! |8 P% L+ B6 h8 G7 q( z
set how-far how-far + 1 ]
3 R) a2 Z- t, N+ t4 x/ S4 ^& M report total
% [: e% w0 [2 j5 O. y) Xend
5 O, [' l9 s0 v
U( F/ i4 W, H# |to grow-grain
* u4 b; D j3 S! d+ ^ if (grain-here < max-grain-here)
) h2 x. u0 C0 M' |1 c* D8 N [ set grain-here grain-here + num-grain-grown g) c9 K6 A0 l/ F0 ~
if (grain-here > max-grain-here) ' O* k$ H t' b" d% n
[ set grain-here max-grain-here ]* t( f5 e/ }& @% c- `9 i
recolor-patch ]% Y) {7 Q" b8 ], B1 C! @! B9 w0 D5 v
end- {; o0 ^* v/ p. T5 I
to harvest
2 B7 K/ I( l) J7 R ask turtles) u" }; b( X' ~
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
) _- |" v: ?$ v/ ^, T ask turtles( S: t& A K1 o) J" w+ f1 ^/ D
[ set grain-here 0
* {. x' M! {: a7 U5 F+ l5 ~ recolor-patch ], P+ B8 ]: X. D4 f1 ?7 R( Y, c) \
5 E4 c( r& {1 s' ]# \+ Y
end5 n9 \+ ^) O: x
: B4 K1 q; U) y+ eto move-eat-age-die 5 ]0 T1 U+ K1 y$ S ~6 v
fd 1
. j0 z- g' L U$ s set wealth (wealth - metabolism)
9 f1 z9 B3 R7 `6 n1 J- k set age (age + 1)
7 t1 @7 K, T8 l4 N if (age >= life-expectancy)
% p! g0 S/ }- O0 y" ?, J) @ [ set-initial-turtle-vars-age ]
# j; e6 ]% V9 L/ n8 Q) U if (wealth < 0)$ P3 Q2 r9 A3 h6 N- ?2 N' j
[ set-initial-turtle-vars-wealth ]
, ^; ^7 N# X. F. h8 F3 `9 s) i
' F. A3 b# C+ l' k4 r2 a; W, hend* x4 ~- q6 \; d4 `6 l
% n1 v7 Y3 y% Q9 C; j, G0 k3 @
9 d# O8 g% `9 n9 I( c
to setup-plots
- x" E* x8 p$ h j# T set-current-plot "Class Plot"
1 p. W/ r: b, b K6 [3 o set-plot-y-range 0 num-people8 l: E. {/ y4 \9 Z. [
set-current-plot "Class Histogram"1 v4 s5 [. L# I" K
set-plot-y-range 0 num-people
8 Z; h/ J% l) j; kend
S; w7 h( K V- A
2 v$ B( Y! \- B3 x& y$ q, f: cto update-plots4 l K4 t' m7 u4 x, _; h
update-class-plot' v, K3 n$ }/ }- p3 `2 t. @$ I
update-class-histogram
, P7 }. a$ L, `; P" ^ update-lorenz-and-gini-plots; R- ^+ V* X2 i4 s
end
. n8 A5 }0 I% c; [$ `. n N1 @% J9 g9 Q. b: h
to update-class-plot
3 v( L1 Y6 c5 o: r; K set-current-plot "Class Plot"- a( w/ \5 w: k* W2 o# V
set-current-plot-pen "low"4 ~- n/ x; E: g5 v0 O8 M; A t" \6 \
plot count turtles with [color = red]( a" r# c! g* q$ e; v# k9 D
set-current-plot-pen "mid"! w% u. l! i5 D0 X7 h4 T7 [. [
plot count turtles with [color = yellow]: D- ?: b/ v$ o$ D; c- g
set-current-plot-pen "up"" k; p' r& Q) q
plot count turtles with [color = green]: n, R/ X7 A9 l$ |$ N
end
" n; g B& f/ P& D+ H+ J3 ~% A
* R7 K) v+ z1 K( R) Mto update-class-histogram
[" d3 r8 N% ]# B' f set-current-plot "Class Histogram"
( T: v/ s: Q( D/ f% |4 i plot-pen-reset
9 q5 q0 ^" v( O7 m7 c" u; Z set-plot-pen-color red; O; i' u! N) H/ k7 |
plot count turtles with [color = red]$ j+ d, d; ~( R8 o m7 M
set-plot-pen-color yellow( |5 Z9 m* ~* N2 m
plot count turtles with [color = yellow]6 l& ~3 z! P) c, z" P `* O
set-plot-pen-color green" @' R" W3 Y, ]/ L$ a' l3 |; k
plot count turtles with [color = green]$ L* [5 Z- F3 @0 J0 F
end1 Q4 J. q& z+ G1 ^
to update-lorenz-and-gini-plots* ~+ H }0 h! X) y
set-current-plot "Lorenz Curve"
2 A7 v; {$ A$ D9 G* U0 _* e clear-plot
0 p: {9 I; |( x2 n" X, b) z# l. N9 _ j7 R7 q8 r7 Z
set-current-plot-pen "equal"
5 o7 P5 Z7 |) _( b; W plot 0
1 ^" {, W) {- d& }. _ plot 100- l8 C& L$ _/ a9 ?
* S( S# m/ ~- k; X0 d4 b4 T6 I T7 o set-current-plot-pen "lorenz"6 e0 b. r7 B& c# s7 H5 E+ I
set-plot-pen-interval 100 / num-people6 w( x+ U+ C. l9 P( F: M. V
plot 05 y# @ y: s; D" `6 c @
. |! w- b& l! \& I
let sorted-wealths sort [wealth] of turtles
4 ~% P, X+ O5 ]6 } let total-wealth sum sorted-wealths v% T) G0 [& W2 }1 v
let wealth-sum-so-far 0 u& b3 g3 g) ~: T. G
let index 03 b. \5 B4 G2 y, s
let gini-index-reserve 0
! m: V5 z% v2 }# U$ V2 q# r7 s; U" ]$ w1 h+ R) _
repeat num-people [. s* ~' W$ p5 |9 g- `/ B8 B% k( ?
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)% T- p% B* n: Y
plot (wealth-sum-so-far / total-wealth) * 100* r3 M; q' {3 n8 G" `$ Q$ n. x
set index (index + 1)
8 r) E& P, c- G" ~+ o) d set gini-index-reserve
- t: ?0 v" h$ x2 b gini-index-reserve +3 i( m Z0 ~& w* N9 A1 Y& E
(index / num-people) -, }4 B; a5 G1 [
(wealth-sum-so-far / total-wealth)
. ^& _/ O3 C# ?5 v. ` ]
; Y% l9 V3 U; b7 E$ a7 E+ O' P Y9 B& `- S' @
set-current-plot "Gini-Index v. Time"" d8 E' e7 i$ i& B0 V
plot (gini-index-reserve / num-people) / area-of-equality-triangle
% H$ Q( s1 J- P9 v1 K% iend( [. A6 Y& `, E5 ^0 A& V; P9 S c
to-report area-of-equality-triangle
8 z9 x; V3 W5 _% b- {7 t% Z report (num-people * (num-people - 1) / 2) / (num-people ^ 2)# o8 t5 S- Q/ D! M' c$ H3 f* r
end |