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
$ D8 r: i( ]6 _( y0 r7 f5 d' oglobals4 C4 r6 Y! s) v
[
# @5 }( C1 {+ H max-grain h+ U, t* G; K+ p; D$ ~2 a
" e; _: {- y4 ^. `. W% ^& o ?]# [" H9 x3 @' S" V' K/ k W$ m
! V3 ?1 Q5 p2 q6 s3 R& gpatches-own' d6 W, g. C! R7 D9 w
[; G2 O2 e" [0 d
grain-here 1 }9 v5 U. k! A& X t6 L/ W
max-grain-here 2 v: W, t( r2 q/ c! x
]
6 c9 b! H" t' {" r( `- o/ A% J5 j; V' i
turtles-own. w$ ]& V9 A7 e
[
! d6 S. I2 X6 W) N3 J/ D1 o age
+ g4 S* h; Y, r% F8 p wealth 9 _- Z: [0 k7 Q c) B
life-expectancy
& n) m2 [' ]" n! X metabolism q/ x$ i3 T3 a' Z0 ]2 f
vision1 U' H$ ^3 ^2 H
inherited
% n5 ]; H2 S& S* v' J* \# v]9 c+ g; x A5 x0 l
3 Q* j Q& w& q! R' i' H
V! p( I# L9 g5 g" _- }( D& Nto setup
6 j$ ~( E9 u+ n8 E0 d( J ca
, M" M$ X1 ]/ C set max-grain 505 \* ~0 H4 N' Z' U0 e5 b
setup-patches+ v, ^+ E2 q$ D
setup-turtles
) X; _1 O8 b& g" [! | w% p R setup-plots8 J! W/ H3 T5 H% R- a3 ~; v1 q8 }# S* ~
update-plots
3 n7 Q1 p Y% q9 `& _end
- r, \1 Q$ U* u. yto setup-patches
2 V# T7 s+ O7 ]8 c ask patches8 J" r1 Z" c# e8 O: G$ s
[ set max-grain-here 0& U$ U# l. _9 {7 O: g' I' V* m
if (random-float 100.0) <= percent-best-land
! D+ P& F/ t( i3 K( C$ v [ set max-grain-here max-grain
7 X, H7 T& t* F( W- p5 r/ U. h8 o set grain-here max-grain-here ] ]
$ z; F; ^5 [0 p% K9 V6 D repeat 5: X: s8 B; }6 N v( _2 F, D3 y
[ ask patches with [max-grain-here != 0]: P4 L2 X9 |& Q. ~; H# D+ q8 |6 j1 Y
[ set grain-here max-grain-here ]( E# O ^4 y* U, Z6 G" s* U
diffuse grain-here 0.5 ]% I6 q5 ?4 @+ R, }4 Q" b
repeat 10
+ M0 _6 P% c% ^ D# w) {3 ] [ diffuse grain-here 0.5] , M7 F. V* d# u1 z. H
ask patches3 s. o, y: l! {8 g8 H
[ set grain-here floor grain-here
0 d8 A* ~+ ?! J1 `- z set max-grain-here grain-here
; C$ W1 ], h; m8 P, C- @+ F recolor-patch ]# d2 C% R u+ O$ C& _/ M' q
end8 l# Y. S+ P$ j
to recolor-patch 3 x' K) L8 r6 P. \$ n
set pcolor scale-color sky grain-here 0 max-grain
( W0 \: P% F9 J: n, G3 b2 {* M: @7 w! Mend
6 V i5 u: R: rto setup-turtles5 R; b. ?4 s x. @3 B! s+ h; z
set-default-shape turtles "person"
! x$ T$ q2 a S& q! f crt num-people
) @! Q0 |1 @! v, z8 ?' \ [ move-to one-of patches & Y$ z" m; w! H
set size 1.5 9 m; a# R* F$ e7 q" l, t/ z M4 u
set-initial-turtle-vars-age+ P; Z/ ?4 n! p
set-initial-turtle-vars-wealth6 `4 S$ Z3 L2 K6 k
set age random life-expectancy ]# P" l3 P. Y( U: e9 Q
recolor-turtles* W4 T7 z e! T# ~: a
end
# @9 s6 d1 q t! i& t
6 T; ?" R. T- L: R) x8 R8 O8 Bto set-initial-turtle-vars-age7 k0 H7 d5 d1 y# `
let max-wealth max [wealth] of turtles3 {4 H; w) v8 e
G5 | Z. [9 o) I$ m5 ^* U" q ifelse (wealth <= max-wealth / 3)9 S S6 L$ }: ^$ d2 f/ r G( u3 ]4 Z5 [
[ set color red
8 ?( ]) Q" | |- `9 c set age 0/ n* K* p! t2 ~. a
face one-of neighbors4 & d3 s+ E. G4 x1 ?
set life-expectancy life-expectancy-min +' x3 L4 V* K! B# c9 T0 Z" r7 r
random life-expectancy-max $ K- `2 ~" `! F- P# Y( c
set metabolism random 1 + metabolism-low! ]) q, I% A! ]" E( J4 L
set wealth metabolism + random 30
* @! ]8 R5 c. V( ~ set vision 1 + random max-vision
( k: t7 h) u( @& b% A4 h& M set wealth wealth + Wealth-inherited-low ]
3 o1 X" Q3 M+ D& I1 q7 I [ ifelse (wealth <= (max-wealth * 2 / 3))
) J3 Z% i" G" l+ \. D" o S [ set color yellow
' l. y3 h6 J* A set age 0
( P& N: o" u( g6 h) \ face one-of neighbors4
! N" t, S* v7 \& K+ l% r set life-expectancy life-expectancy-min +# ]3 R. e; i G4 A2 E) ]& E
random life-expectancy-max + 1' k9 P5 {2 x/ h9 ^1 y9 g
set metabolism 1 + random metabolism-mid& c+ F" Y+ A0 G0 S" w
set wealth metabolism + random 30) Y5 s& W9 r* T! R# ~
set vision 3 + random max-vision
9 I" M, l9 c7 @* w7 M set wealth wealth + Wealth-inherited-mid]4 @2 o) v# _" m0 Q& ]& ], F; T
[ set color green 5 U8 J8 f# d3 Q
set age 0' k9 b( h* j% f* x3 u0 h, p8 n
face one-of neighbors4 ' ]& M3 e1 w+ ]) z' {3 P0 B) W
set life-expectancy life-expectancy-min +& C: R U$ z% R) K* I: ^% X
random life-expectancy-max + 25 {+ ~2 r; U9 \( U; _! P8 t; h
set metabolism 2 + random metabolism-up F4 ~1 D& H0 e2 U/ L
set wealth metabolism + random 30
9 P4 V. D( K5 c, ? set vision 3 + random max-vision5 N0 R N5 h$ k! Q8 b5 E n5 n/ T, o
set wealth wealth + Wealth-inherited-up ] ] + D, N! N. s) @) q, {7 t: k% V) s
( d m4 E& o# o( y. U$ Gend1 Z' y- T ?0 f' T
to set-initial-turtle-vars-wealth
4 F, Y/ K; V/ @) D( @ let max-wealth max [wealth] of turtles6 ~3 f9 K8 z* R3 n2 \4 R
set age 0, I2 j9 o7 R( e# O
face one-of neighbors4
2 a' Y! q; Q# O2 \0 a set life-expectancy life-expectancy-min +
: ^* M5 C6 `9 K/ T9 Y$ C random life-expectancy-max
( H/ t: w8 [7 O; F, Z( `8 t set metabolism 1 + random metabolism-up
" o3 D3 k, |7 |* I) P+ L; L set wealth metabolism + random 30
4 m! r6 X5 w1 c5 [/ U- D; K$ @ set vision 1 + random max-vision
- r+ _) j; D& E# _$ b+ t# cend
! S8 ^& L0 V' F5 T! {/ e# W# l( p# ?to redistribution6 j; V8 G) Y* d |* s ?
let max-wealth max [wealth] of turtles
3 D O0 l: D' u; elet min-wealth min [wealth] of turtles5 m, p2 c/ X% k* Y6 h! q1 Z
if (wealth <= max-wealth / 3)
/ D% M6 F. i, _5 ^7 R4 R% h! M [set wealth wealth + Low-income-protection ] h7 m2 G$ P! c3 I
end' u8 E0 ?% E3 B+ B# S e1 @! W, `
6 i! z% A" \0 `to recolor-turtles
& x5 B& @) p/ i- Q! l7 k let max-wealth max [wealth] of turtles
+ h; b' E4 N O' m8 I$ T- _ ask turtles. b" J; d8 P) q& a
[ ifelse (wealth <= max-wealth / 3)! K! @8 ~- Z& O) `
[ set color red ]: B* d3 V5 {8 w g! _: W
[ ifelse (wealth <= (max-wealth * 2 / 3))0 W7 h/ S: o3 E! T3 X4 W( J$ M! n
[ set color yellow ]
, i; y5 S) |$ r2 D' _& j9 ] [ set color green ] ] ]
% {) @' t7 X( \9 `5 `, g0 q2 l+ ? ask turtles [ifelse show-wealth?' v @, x- E p4 P: U
[ set label wealth ]& g! C2 o r& ?5 X0 l+ s/ B) j
[ set label "" ]]) U) b5 H: ~# _. @/ @
end1 U l+ p" }0 j* P: S, L
U. [; O+ k3 \- zto go1 j+ P6 x7 b3 H" G
ask turtles- R- S1 ^( S0 W& f1 x/ ~6 H
[ turn-towards-grain ] ; M n. Q4 w4 n
harvest
9 q; A4 o R; L( [3 [4 { ask turtles
& P* d4 a$ E- \$ F6 E. ?0 m [ move-eat-age-die ]# c. c- a& Z( L, f ~$ A
recolor-turtles
6 l; A7 E+ ` i5 l8 c if ticks mod grain-growth-interval = 0. j! [8 z5 y# V; u W" @: V
[ ask patches [ grow-grain ] ]9 s; C: s0 ^# u. M! c4 Z0 {
# o2 ?! \* J3 z4 n @9 O$ ` if ticks mod 11 = 0+ I' K! V( H* M! M! t
[ask turtles
' t+ k) P! u# B5 e. q* F [ redistribution ]]) x; R; M u4 _& `
if ticks mod 5 = 03 Y) ~/ p+ L+ @2 u
[ask turtles+ s% i; R! L& E7 D g9 I3 {+ j" O. b
[ visions ]]
0 a3 V% c2 I! A. r7 T3 G: X tick
: i, k- ?/ b* V4 d update-plots
' j; H4 p8 M. l# kend F2 D. _, |' Z2 \
to visions
. L c1 { {8 y set vision vision + 1 & q7 C9 z; M! ]0 M
end
' i9 A' B# D: ^. \ h* ^% s. U% n3 }$ O8 d6 l* @
4 x6 o [* G0 t: S
( n7 F6 F' O3 v5 I, v! q
to turn-towards-grain . L6 G# L4 D9 B" C8 k& [. _# G
set heading 0( l# V) L% ?- {( B' W
let best-direction 0
3 H' P0 Q9 _6 B: a- d& }3 W" {5 P let best-amount grain-ahead
$ B2 i& J% F( s- d4 [! Q. C set heading 90
5 N5 v+ m6 A2 A6 G5 G, T if (grain-ahead > best-amount)7 V; Y8 q( |7 ^- o, i, q" O
[ set best-direction 90
8 L- U5 V# R5 O& X) S5 e f set best-amount grain-ahead ]
; t' Q" q! E$ B set heading 180! D- _3 I/ b/ X: z" g
if (grain-ahead > best-amount)
4 V$ ?% m7 r5 }. Z* d [ set best-direction 180
& Z$ J' `$ r! f. d8 H set best-amount grain-ahead ]
& J) ^$ d+ ^( K% [8 w$ L set heading 270& y1 r/ j9 m/ y! p7 u3 f2 x" p
if (grain-ahead > best-amount)5 T; I C2 x8 Y$ K$ y( |
[ set best-direction 270! e0 h6 A. D5 v: y* S6 Q8 c& b
set best-amount grain-ahead ]
! w+ C+ q# A8 d7 g* d set heading best-direction5 D6 _4 W8 R3 ?& s9 f% l b& e
end
: t: F2 D. S8 w5 M9 Z1 n
: `, z* X' j( Y6 A1 }7 w" F7 x; _0 d7 K) c; I
to-report grain-ahead
: {1 d8 U, r( S: I0 d3 s) n let total 0& w- k$ p/ n. D* b8 z3 x
let how-far 1
* i# [1 @' w0 M, H9 n' n repeat vision+ k+ A, J6 w: v/ X* O5 W9 v
[ set total total + [grain-here] of patch-ahead how-far( N; J( v$ ?0 o" m
set how-far how-far + 1 ]
3 N& \' u3 G( y) g* | report total4 T. Z, |7 g3 J: w
end
E& f1 v( W. n/ q# M9 `( {' M+ r3 c% e3 f
to grow-grain
- ~( [, d3 X( N' |5 f5 _) @& r if (grain-here < max-grain-here)
/ ?8 E4 p9 v+ h$ ~; J8 n/ ] [ set grain-here grain-here + num-grain-grown( N0 k) N3 I6 `* E" F* {0 W& q
if (grain-here > max-grain-here)
% ~) l9 F7 }" a0 }5 e0 a [ set grain-here max-grain-here ]' [9 P- L0 X" v9 W
recolor-patch ]/ y6 M$ m! \: {# ^" f) F7 A# g
end; c- W( K+ W# k/ n* U
to harvest
" H% @# z( e6 | ask turtles& C1 e7 ~( K% H& J) I4 u9 e
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
: o4 T* c1 a. c; G( u( ~ @) b. B0 W ask turtles3 \9 n- `( C$ {' L: o/ ^6 @+ C
[ set grain-here 00 N; |( z1 J, v! v/ I
recolor-patch ] m) [3 `9 t3 H& ]
; Q: P6 Y4 b: u1 v* p. cend; }! p* g$ }4 a% m, T
, u) c I( D( l9 k
to move-eat-age-die
3 s4 n, b% ^1 R" m& B: n fd 1
; m3 ^" b% Y# V ]7 r: F set wealth (wealth - metabolism)2 [7 I- _$ i$ [$ o. \0 L4 q
set age (age + 1)
5 I7 K, `1 U# S+ Z! f2 H if (age >= life-expectancy)0 z# f8 J) W! B2 h7 ^
[ set-initial-turtle-vars-age ]9 r6 `9 K: b1 R9 B* G' `
if (wealth < 0)
. G. L# y# w, N) D5 I" z8 T$ A& h [ set-initial-turtle-vars-wealth ]' G; _% J. n7 e8 t. ^$ h) I
) R, ^0 S/ y! K5 o
end7 q( J* t' N+ Q/ `. s
" ~- e# q6 U# D. j' H
' H" {/ d$ F- f" lto setup-plots
' G. \* d8 Z8 `6 Q set-current-plot "Class Plot"6 W' ^! V7 P+ U) U7 T# G! \+ n. c
set-plot-y-range 0 num-people/ e7 B: t1 d f3 r$ W* @0 y" J2 f
set-current-plot "Class Histogram"
( N7 l# K: M) A/ P& o7 j, f set-plot-y-range 0 num-people
" ?# h) \2 F. _8 J4 J Cend) m/ j9 [$ d& x( l* b9 E* H
6 r7 @1 {! O+ I3 h' A% ]( W
to update-plots
! p4 I) X! c/ G* T update-class-plot/ S" ~* Y" r. ~4 E
update-class-histogram
; H6 i+ O- \/ m* V update-lorenz-and-gini-plots
1 T6 y( ~/ g5 P% j$ ?8 Pend
$ R0 a. T7 q0 G9 [8 g
- L; r0 ?, h. w0 H- ^+ Z* Qto update-class-plot- X7 L4 s: \5 H; G- r1 B% k; R4 I
set-current-plot "Class Plot"
# Z; h7 } p9 d0 {; n set-current-plot-pen "low"+ I4 X* _3 L& d# Z- n9 b( O
plot count turtles with [color = red]- x0 M4 V- U3 j* b; L
set-current-plot-pen "mid"; q, r1 Q" Q5 S* x- S9 S
plot count turtles with [color = yellow]
+ p- \+ }* ^* m6 g set-current-plot-pen "up"
: v6 P L, [7 B, a plot count turtles with [color = green]0 t" y, m! c# w6 N% H; v
end/ Z, B! g5 j; l5 P4 ^
- ]+ W% @0 F' O
to update-class-histogram
' g3 G% Q l& [/ u set-current-plot "Class Histogram"6 j, m: Q& r, z" C- L7 S
plot-pen-reset- E+ Z6 _& U, E9 K
set-plot-pen-color red' q: O7 v6 v9 X; o k3 g) ^
plot count turtles with [color = red]
8 S, O! _, N9 r0 U set-plot-pen-color yellow
+ w$ c* V" Q4 {; U1 T: | plot count turtles with [color = yellow]! j* q5 y7 e3 C" q
set-plot-pen-color green
* W7 H7 U* |( f' _0 ^' b7 q plot count turtles with [color = green]! |6 o6 N3 l/ E" b' r) j G
end
& c& P& G9 J6 \% U$ H2 o+ r. Eto update-lorenz-and-gini-plots
- @& j( K$ C' f: c0 C set-current-plot "Lorenz Curve"
! B- k! m, s+ U0 t) v0 } clear-plot
7 [- w5 n( [; y. [6 K/ |' t
" D j9 z# G, B set-current-plot-pen "equal"; c0 d4 X8 _0 V% |
plot 0
+ o' K t% Z# G* r3 W plot 100
5 ^: C! @- `- Y/ X9 B1 w7 {) i |& b
set-current-plot-pen "lorenz"
4 q6 B. d( P! `' r" N* {5 C set-plot-pen-interval 100 / num-people" i5 }6 \" w6 J# T9 o. Q
plot 0 o6 K5 T; G( S
8 \ S i% k0 e+ `$ D/ H( \* x
let sorted-wealths sort [wealth] of turtles& v/ L9 h7 t' ~* m! h7 l
let total-wealth sum sorted-wealths( i9 A2 ^/ R+ w
let wealth-sum-so-far 0
7 @2 y, h9 i, q+ }. { D+ T3 X9 A: w let index 0: [% i! Y( D( g0 p
let gini-index-reserve 0 v! K. r } H6 e% ?+ |: H
( ~( @. f5 o/ g# h5 j# f2 ? repeat num-people [
$ u) m" N0 d! \/ B, b set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
# n9 o3 D! T. f plot (wealth-sum-so-far / total-wealth) * 100' r- P0 Q& G. R3 Q8 _/ s7 Z: c
set index (index + 1)
6 d" q; \/ p# d) m set gini-index-reserve
2 f4 D% ]; {. V1 E gini-index-reserve + F4 H; {. T/ L+ S
(index / num-people) -; a4 x, Z. y ^7 e1 f
(wealth-sum-so-far / total-wealth)1 A% a4 c3 O( W* P& w/ e
]. l- T, k: g) h+ _) N; k$ O
, U( M. K- H. |# Y* k# m set-current-plot "Gini-Index v. Time"5 F" P4 K2 D! A% J* L" V$ [
plot (gini-index-reserve / num-people) / area-of-equality-triangle+ V, q! K% E! E" h
end/ y7 y1 _ G7 I2 P* o" b1 T
to-report area-of-equality-triangle5 o* u) n1 g( ~/ i2 y
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)2 }% S/ b' z& c K- O+ G( s$ j, U
end |