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
/ c( k" b' S5 v( H& ]) i$ f% ^globals) k) s" F/ z2 t5 }: h1 D0 }
[
+ \ _/ \1 I) e$ @4 _ max-grain 9 M3 n2 k3 x1 Z7 Q1 t( S* b
: B; ?8 K9 B% t0 {, o) f9 B]* p# p4 f6 I/ m0 l
* k) `$ W: j! T8 h$ Jpatches-own
% i, H' c, D p! g% L- h[; m! B4 [& C. S. @7 n
grain-here " R3 }& b2 d3 c/ F
max-grain-here
! x- o5 `0 C* |& P6 I# X]
) b( Q4 X: S( B* b7 V2 V* F; ]7 S/ U. W
turtles-own# B. @) ~) |1 U# r9 a) d
[
* I3 U6 i/ Y# m( |8 x age 3 F" S& J) h; S/ I+ z- C
wealth
7 s$ J( M" ?9 t' b w! u0 C$ A life-expectancy
. j% Z0 f% \5 ~0 x. d, S, ^ metabolism
! a0 D J) q3 |$ R vision- `7 Z6 _$ b0 c0 a
inherited : a) { s9 V/ W+ J8 N
]' `. c( U2 O# l1 d: a
" ?4 p9 v: S* |* z4 |! ^$ N
& N" M( C" @: V9 i- f/ f# O5 ~$ ]to setup4 V5 e, j( a$ n# ~3 e G
ca
% ~; a9 x0 Z0 p$ l set max-grain 50
[0 @/ @8 k' n( C setup-patches
' Y& g1 h) b" x& s6 ]2 z3 A+ m* P0 Q4 @ setup-turtles$ r' O* _+ X& j4 A3 C' Z4 h
setup-plots
3 k& u$ W- C4 v% T update-plots+ T6 o, d) Z5 Y6 U- N9 M" t
end5 Q u2 r) B9 v5 u/ i
to setup-patches; n4 i) R" h8 B+ I9 G/ a6 |
ask patches
+ a. ]) ]5 ~# `& F$ L7 ? [ set max-grain-here 0
* {, w9 y0 K! { if (random-float 100.0) <= percent-best-land- X: e7 }& y; R# Y* i! m- n7 i: |
[ set max-grain-here max-grain4 D% q# K# d' ~, p* F
set grain-here max-grain-here ] ]
% S! Q( I! z8 d( N$ I7 J4 `) u+ A9 v repeat 5* k& y: L% r3 h: ^! M6 l
[ ask patches with [max-grain-here != 0]/ t& V! v$ R7 w$ J: z, c
[ set grain-here max-grain-here ]. n; i9 Z; `" D2 D4 V' t
diffuse grain-here 0.5 ]
1 }& S8 }. }3 z7 v: F repeat 10
0 v; g& t+ [4 | [ diffuse grain-here 0.5]
! U9 c+ @- F6 z3 ~ ask patches
/ T8 {+ @* t; T: N1 C [ set grain-here floor grain-here " J4 p- o1 W' h+ P; [
set max-grain-here grain-here ' c- u- d" ?3 `/ n
recolor-patch ]$ q4 ~/ @2 ]; s T5 i' n p4 h1 L
end9 ]1 l$ C1 a$ ~' v1 ~
to recolor-patch
! L5 k3 {' z7 O# r F% O set pcolor scale-color sky grain-here 0 max-grain
) W4 ~$ e+ U" ~3 B$ Z5 b6 y% Wend
5 T Z4 ~$ M# p( G6 J) pto setup-turtles N, \# W+ o+ @. t
set-default-shape turtles "person"
; m. c" B* y. ]# c9 v3 d crt num-people$ Q5 u" X% C9 U5 P3 ]- o: @
[ move-to one-of patches # D! ]" I' v1 l0 q- E% G
set size 1.5 f, k# @8 Q& S* ~' L
set-initial-turtle-vars-age" M C0 d* H9 }
set-initial-turtle-vars-wealth/ A2 s- u, R6 J: g0 q
set age random life-expectancy ]
4 R' k1 \! ]2 H3 ^ recolor-turtles
2 R3 B# Q' W$ ]. |' t& Wend; u( s6 D- V2 \ C7 n1 y/ g
$ I X: U' g9 [; a
to set-initial-turtle-vars-age
5 q4 U2 p' A6 p let max-wealth max [wealth] of turtles
" ?0 I4 Z7 I. t
1 [ ?6 U" U+ y4 t ifelse (wealth <= max-wealth / 3)
: K: C4 v4 |9 t- k F [ set color red : ?" n1 p4 U/ G8 k& }
set age 09 ]0 L( R8 k/ z4 l8 B5 o2 m
face one-of neighbors4 0 |1 a% |7 c6 d5 D4 j
set life-expectancy life-expectancy-min +' ^$ U& h. j2 ^: P
random life-expectancy-max $ {4 g% Q% ]$ S. _1 }4 H: u$ f
set metabolism random 1 + metabolism-low
# g1 I/ }8 s' H0 `$ | set wealth metabolism + random 30. ?9 T, |1 b; v0 K) j
set vision 1 + random max-vision% O% e) d5 [0 a7 N- ~2 v
set wealth wealth + Wealth-inherited-low ]
2 k3 }) r5 D- K0 {; H- Z' e6 h [ ifelse (wealth <= (max-wealth * 2 / 3))
' K1 r$ C0 D* b( {( v" M [ set color yellow
1 w9 N0 ^( d7 b0 |8 o set age 03 I+ ~* p* f4 i3 K
face one-of neighbors4 ! M5 y4 y) c! J7 f9 p/ I1 P
set life-expectancy life-expectancy-min +
e: C5 ]* X% k2 { random life-expectancy-max + 16 H) v* \6 X, m \' N/ y9 y% O. w
set metabolism 1 + random metabolism-mid
4 v9 V: E+ o1 `1 `4 e+ U4 }- n# `: Q set wealth metabolism + random 30 T/ R' j5 k) V8 c1 E
set vision 3 + random max-vision
# T7 @) F/ q/ N8 r! g1 d set wealth wealth + Wealth-inherited-mid] a f' X' D" v9 R: o* K6 c$ {
[ set color green , C8 y3 l) J' \3 c$ `8 z
set age 0
' c. E3 Q3 }6 l% S' @ a+ m face one-of neighbors4 . E& ^% U* g2 G! T% m
set life-expectancy life-expectancy-min +
+ Q8 M) ]+ [6 n1 Q' |- f* I3 L random life-expectancy-max + 2( [, ?. H( S- D; c$ Q! k
set metabolism 2 + random metabolism-up
2 {% T) I8 s# q3 G: a set wealth metabolism + random 30) B2 C2 V2 {- i7 q. R- S1 S
set vision 3 + random max-vision
8 M4 D$ ~% o' T3 D* h5 m set wealth wealth + Wealth-inherited-up ] ]
% Y; q2 N: x4 G/ a( T* u . ?. x/ o6 o9 b
end- J4 k9 q/ h; X/ s+ E; J2 F
to set-initial-turtle-vars-wealth( ^+ F% f+ i: q: m9 d% x8 ?" C l
let max-wealth max [wealth] of turtles
; I( d3 k3 E- g% L; y8 f* M set age 0
9 p: u) Q/ l+ n, j: I, G7 B face one-of neighbors4
% D. o0 d6 p% ? set life-expectancy life-expectancy-min +
( p+ X; n; Y5 g4 `5 Y, x* W random life-expectancy-max . C j" E* a- D6 G3 y. r/ K0 @+ h7 q
set metabolism 1 + random metabolism-up- a9 Z9 e* ^" ?
set wealth metabolism + random 308 h* V9 I& }+ C
set vision 1 + random max-vision 8 _ z3 K2 x# e# {! m8 p* t$ `9 A9 [
end3 A) j! I- l7 @) F+ w
to redistribution
1 M9 p5 ~* W1 m* z8 Slet max-wealth max [wealth] of turtles
' z N5 h3 L3 \& t$ Q4 W/ O/ elet min-wealth min [wealth] of turtles8 v. q2 ^: M/ a: O7 T+ k: @
if (wealth <= max-wealth / 3)6 u7 Q+ Y1 @5 l/ a
[set wealth wealth + Low-income-protection ]* B% b! e) X5 k! S) Q3 Y
end3 v' B2 q$ B; y1 Y4 l/ k2 e% C
8 F* T& |& N" l+ r! r4 s, K; e, P' ?to recolor-turtles4 K1 P5 @- u- e/ }" g
let max-wealth max [wealth] of turtles
: |! I$ k: C' Z0 {) I# v9 n ask turtles9 B' Y( j' h! ]/ J' _
[ ifelse (wealth <= max-wealth / 3)
! S& C8 J5 @, n, O [ set color red ]
' J, t5 I+ l% {" C$ i [ ifelse (wealth <= (max-wealth * 2 / 3))
4 t) a, |" o5 z2 E+ ~ [ set color yellow ]
, N# w# @+ f' R* q9 C3 M4 r% Q [ set color green ] ] ]( v. F7 }/ \; |0 ?' a
ask turtles [ifelse show-wealth?
7 m o' f% N, B. o+ b [ set label wealth ]0 o0 `; @6 ^7 Y5 }: P
[ set label "" ]]
( Z7 {$ g7 B. G ?* wend& I# ?" N% G1 ]" a' z* j1 C3 X& ]
0 s9 M* v# S. W! Z0 H- I" ]to go
# x2 v' j% `$ _& G) Z+ c ask turtles% k }$ B; _# Z% t
[ turn-towards-grain ]
2 o `0 K, |/ `) ] harvest V* r2 t! n6 n; U. I4 ~
ask turtles
5 w/ v: U/ q# ~' w% d8 v8 R [ move-eat-age-die ]
# M' s" S9 [! B recolor-turtles
& l4 a3 s% w, u4 m5 I if ticks mod grain-growth-interval = 0. u: v* @ C4 }5 D! }
[ ask patches [ grow-grain ] ]5 \+ [9 C7 S e; H# F3 Q6 l
, ~$ H8 B# z4 L! [ if ticks mod 11 = 0 c) Y3 t2 l$ a. C
[ask turtles
3 v+ r* v& c+ i [ redistribution ]]
8 f! }% P8 o: Y' I( w& ?1 o if ticks mod 5 = 0
! y$ J: S2 N5 T, y- p6 m! D [ask turtles
8 p0 }9 K6 |' c% T7 p3 ` [ visions ]]
' `* d+ B) x. S8 e2 F tick
( G; y8 y" g: b6 o7 M" X8 I update-plots
% `8 M) B7 W: z6 Aend9 v; x8 o7 E# m- k
to visions
+ O, G) q8 C, W0 ]" I* m set vision vision + 1
7 ]: Y3 A8 |- L5 l( Yend
! h- z8 R* ?% s* Q( h; g5 F, H" {6 e2 ~; Q- ~
* z" U3 ^. ~/ p9 Y. i3 C/ |- ?
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to turn-towards-grain ' M" K6 V* C! n8 q
set heading 0
$ J' m$ o0 H3 ]. h& @: ?0 R( f3 r let best-direction 0
/ p& J; h. L) |! d* E let best-amount grain-ahead
; ~- U. M+ q: l2 E, E set heading 909 I5 `! G- |3 c/ u7 {9 }/ k2 I
if (grain-ahead > best-amount)
7 g. L; D2 G4 x: C& M [ set best-direction 90
$ h: O; y# A3 c- k J3 _' e set best-amount grain-ahead ]
( N' [" ]8 s( m8 t0 Y) K' F$ @2 i) c set heading 180) P9 Y( O# d, R+ |
if (grain-ahead > best-amount)5 ]& S8 ]9 H u% u
[ set best-direction 180
# t$ v) g$ K' ]1 X7 f/ d set best-amount grain-ahead ]* w1 [( x/ T! c/ B9 D# Q+ \% M
set heading 270
* t9 C1 Y P' p( j( d7 S: @ if (grain-ahead > best-amount)
( i1 B- \% y+ v [ set best-direction 2701 z, F; ~3 y6 ?# V5 I1 u
set best-amount grain-ahead ]: L7 b9 X# D, G3 t+ a: N, @3 d
set heading best-direction
7 @/ u9 \: O' D) Z! W3 |5 Xend6 k' w* ]/ y$ D* ?1 n0 [* u
' s2 X# w, Q. M g3 J
0 N3 p$ N' T3 p% O! Kto-report grain-ahead # S D9 [1 P; I- g7 c& J) `; k+ u
let total 0
4 A* k( u8 L( L# a let how-far 1
' r8 ~$ p. J) r2 b4 a N repeat vision f! W J" X) b! c
[ set total total + [grain-here] of patch-ahead how-far8 `' S2 C* e1 Y: O
set how-far how-far + 1 ]
: Y3 k4 f- @/ o8 c, S [4 N0 l report total N7 E( f! i1 f B- i
end' l6 W4 Q& r+ R5 R" _3 |5 d6 x6 O
: C( [5 P# J1 [/ W: i" _9 z
to grow-grain
% ~$ v3 F! S4 r) I0 g1 k5 U0 h if (grain-here < max-grain-here)
7 s6 H; C" H/ U6 `4 I/ z3 y9 K( l [ set grain-here grain-here + num-grain-grown
9 R) ~0 H7 |& \4 Q if (grain-here > max-grain-here) + o$ \; r/ a( G/ ]* g
[ set grain-here max-grain-here ]* N0 I4 @ o; T
recolor-patch ]
- S2 Y5 e |9 M6 P2 ^) U- f1 O* S8 Dend
( a s0 y: j+ v# h xto harvest
: k. h6 n$ x2 Z5 V ask turtles; J% w2 D" F9 s1 T% ~) E: p
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]& J! @' L1 l7 M; T% Q
ask turtles- k: R/ G5 ~# A
[ set grain-here 0* z+ S2 u7 S- ^; l; N) N* O7 a; }
recolor-patch ] m4 v- M! n% a9 Q3 i
5 m% N* Z- Y9 M. A! vend
6 A* w" E& R5 l t" |: [( Z- G0 B7 T9 y+ `
to move-eat-age-die
# [7 O; K+ U1 q( F3 f0 h+ }% O `/ [ fd 17 A) W0 D$ \& l8 R0 r
set wealth (wealth - metabolism)
5 A0 c6 C$ ]* a! {/ t set age (age + 1)3 r7 K8 x# S( _' t( J+ }
if (age >= life-expectancy)
8 i' P5 E8 }5 t K# l: G [ set-initial-turtle-vars-age ]
% A- x# R4 ~/ z& j if (wealth < 0)
7 ~, ^. Q, L# b+ D) H7 i [ set-initial-turtle-vars-wealth ]
/ f/ m1 x! G8 E) E" p8 Y4 M1 B, S
. i) n- K1 r5 I% V. wend! ~; |# o3 d* Z) ~; i, V* q
: A) k# g# Y6 [# S# K+ y
+ V5 [( g6 n$ V9 e/ Y
to setup-plots+ v7 D( k; A$ y7 r+ G6 z
set-current-plot "Class Plot"
3 J5 Z8 Q" v) M* L set-plot-y-range 0 num-people
6 N2 Z1 v3 _% J2 _; Z* { set-current-plot "Class Histogram"
$ y* c# d+ R& o; ? set-plot-y-range 0 num-people
- V6 C1 ~; L+ ~ |% [end5 `: o9 f# m0 Q, K4 u, G
. }: n2 Y( n6 S* x% W* S9 V9 Rto update-plots( k$ v& _6 V8 B; ~
update-class-plot1 H4 _6 G9 @ V% V$ J' W7 i' V+ w
update-class-histogram
" v& S4 r1 F- O5 A6 ? update-lorenz-and-gini-plots
/ q; r4 N: S' X% wend( l; J: U* n& ?) W+ r! l
- j9 v4 t) ^; V: Mto update-class-plot4 |. g: b4 j4 C1 `6 J- F9 W: @4 Z
set-current-plot "Class Plot"
" p0 b5 ~9 [9 q2 d set-current-plot-pen "low"
7 \1 C. H% ^: M g; M, c plot count turtles with [color = red]
4 s* F+ R/ w2 p* P. e set-current-plot-pen "mid"6 C8 w* I1 m8 \8 _* N, c) m0 d$ v, ^
plot count turtles with [color = yellow]; s" d S" w; E' q
set-current-plot-pen "up"6 x. _" \ F: j* U3 o
plot count turtles with [color = green]# D- r3 X G% {; J
end
. E. |9 b) Q* U I
* P) z+ T8 v2 i7 o+ H1 ato update-class-histogram8 O& I% Y# \5 v) L9 @
set-current-plot "Class Histogram"
4 V& P8 i- f3 ~% Z5 \ plot-pen-reset& F/ |/ c2 [3 D9 P
set-plot-pen-color red3 @) u; h! t* u4 p x& y! Q
plot count turtles with [color = red]
; T, v* [4 d2 M) V set-plot-pen-color yellow& d P, b4 O; B+ @9 a/ {: `; a" z
plot count turtles with [color = yellow]) Z( A4 s4 y; \0 D- d9 K; P9 n0 C4 h
set-plot-pen-color green, T9 @6 k+ v8 t+ ?; V9 U' L9 |$ B
plot count turtles with [color = green]
; I$ c5 b) s% Y7 u& {- |/ Eend
% _6 V' c+ g) z, v- q' v2 _to update-lorenz-and-gini-plots
$ ?0 x8 {+ A+ b7 u! `5 r6 u* \ set-current-plot "Lorenz Curve"
; J+ k# `/ Z8 W3 s, V" ~ clear-plot) s) O6 o: M" u+ D9 m( F5 O
1 B2 I' ~7 c0 J2 k9 ` set-current-plot-pen "equal"
1 S, T3 D0 N" m7 z) r6 R6 M' C" E; s plot 0& X5 U% E" g* P+ O
plot 100
1 v/ s7 }4 G, f) C& Q3 l" Z+ H! c/ Y- l- m2 v+ [3 r
set-current-plot-pen "lorenz"; y1 j+ G! [" U7 O6 b
set-plot-pen-interval 100 / num-people/ `; F' w7 [" r0 _/ ?
plot 01 x- \; u2 T/ y: n+ Y. b% Z% V
: ]1 ?* V+ c5 O, Z# j: ~* L% u
let sorted-wealths sort [wealth] of turtles
5 d! @5 j% f5 N1 z$ n let total-wealth sum sorted-wealths/ j8 @: D* j) ^7 S( R y$ c- z* Q" S
let wealth-sum-so-far 0
0 u, F/ y/ B: j5 X; M let index 0 T+ f3 B- K& o) ~
let gini-index-reserve 0
& M( L4 s' L' S: }3 a& a; M, g; y% d# Y1 D" t" V5 U5 Q" @$ y
repeat num-people [* J; R0 }2 H: D3 q/ i, ]7 }6 E: T5 j
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)6 ^; s+ c( I9 W4 @
plot (wealth-sum-so-far / total-wealth) * 100$ z( G" f7 O1 L5 z4 d& I
set index (index + 1)
9 A1 M& y. W4 P, Y# I set gini-index-reserve
& E& [9 ^' ]0 W q) F9 P3 a5 p gini-index-reserve +
5 r3 t W' F' V3 w5 ^6 {# \ (index / num-people) -
' i" C& n* p9 G6 \ (wealth-sum-so-far / total-wealth)0 A+ m& ~" l$ o5 x1 W: @+ S! |
] O1 A3 z9 }) ~9 P
% u; ^4 k1 |( { set-current-plot "Gini-Index v. Time"3 E3 \4 E" g& {
plot (gini-index-reserve / num-people) / area-of-equality-triangle7 S6 F* d5 [! z5 \* S" |
end
. g J5 P6 ]9 p6 T! E' Bto-report area-of-equality-triangle/ d; n* Q: `$ L( ~9 p5 T+ A m |; {
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)4 A; A, \) q( m' n" l
end |