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, H' K! E; ]$ Q+ J4 D4 S
globals$ v/ {2 n; H: K: a5 z
[
+ a$ |% i$ k3 v8 T: G% {* v max-grain
4 h6 n. R2 x# r7 W% C
+ l k4 S1 X( i6 t. x9 z0 H* R]
( a7 g# m& S0 t9 i+ e2 \+ c* j, @! o& {9 |7 L' S
patches-own% t) P' E$ y8 N8 d+ |/ ^; W
[
5 o4 B1 q+ x# o! E9 K grain-here
6 i8 b( [0 D' G: Z max-grain-here
9 T+ V" Z, X; Z' u5 R9 j# u]2 R! t( ?$ r5 K U
! h2 r+ P8 y4 [3 X% nturtles-own5 n2 j, V9 {1 F! J. D- z. O: X
[5 E/ }9 B+ Q! \. ^
age , k" L' M3 J) ^* ^# G% O$ C
wealth 0 P" K0 o" [$ b8 W) V4 Y" `
life-expectancy 9 b8 z- k J) W; W, i
metabolism - O" Y$ R/ m% u- M4 Z
vision) B! J8 L& D, ?. I# e" c3 h
inherited
" W O! b S6 s) H0 M" \]1 i2 r6 e6 i2 J
' n, B7 K3 j3 a
5 [# u, b v, M P+ u, ^+ }( Jto setup E6 Z( ]& Y( f4 B
ca
& ~7 s1 w2 ^& q8 M% \0 l; @ set max-grain 50
9 J' d* F. J" a" X7 T' b5 x setup-patches" s6 a E! t& A" ^, n4 w, l$ k
setup-turtles3 W/ S+ J6 [6 Z& Z W3 M( t
setup-plots
7 S1 z* v$ V0 s8 D) Q' r update-plots2 U# ?5 U) c; u, ~# {
end
+ r6 A" r( o( T& C, n7 r% zto setup-patches. g. v6 u! @/ ]' X2 O
ask patches" h8 ~& z8 b8 a
[ set max-grain-here 0
5 h3 j! p2 s6 d9 | if (random-float 100.0) <= percent-best-land4 o9 G0 o2 M! Y8 g0 g
[ set max-grain-here max-grain# ]7 U0 L: s, ^
set grain-here max-grain-here ] ]1 w m0 t1 L5 u; h% @8 Z2 p( G" Y
repeat 5 u$ @8 ?4 ` i# O
[ ask patches with [max-grain-here != 0]% e3 \, _9 G; q9 K
[ set grain-here max-grain-here ]8 ]! h" e: {2 w- n7 r- z! q+ M
diffuse grain-here 0.5 ]
3 n5 ^4 y% P8 B& G& K0 W' f repeat 10
4 W3 H+ S/ s+ _. \' q9 ?' |- a [ diffuse grain-here 0.5]
& o0 l1 R9 a! b% C ask patches
+ E* I' L" u0 A( y6 w) r' [ [ set grain-here floor grain-here # K4 C0 m# [6 d0 ]
set max-grain-here grain-here 1 s$ ~, Z% f% r: q$ s/ k: e
recolor-patch ]
: _; g/ W" v4 x+ }9 i+ F( jend# M) k: V: ~- Q, _6 z5 r2 }. f% q
to recolor-patch 2 w. L2 W( z: ]" E7 S& R
set pcolor scale-color sky grain-here 0 max-grain" C3 i: p3 A* B" d( j4 {
end
7 T4 n- x i* ` R* dto setup-turtles
. i9 t5 c- ^/ O3 f set-default-shape turtles "person"1 t M$ I, M V. ^' Q7 J! T$ a
crt num-people& y! p3 E5 m( r6 v9 S7 }! l) }
[ move-to one-of patches
" B/ Y6 {% z% ^1 Z set size 1.5 2 d' K+ M7 x' m! Q. F
set-initial-turtle-vars-age
; L% M J- [. z* y3 [" {2 a set-initial-turtle-vars-wealth. }% S" S: @2 t" t! J; j
set age random life-expectancy ]
1 x+ M% v- a4 [0 h9 Q/ ? recolor-turtles+ P) R. g7 N; ?, H2 L, E
end: a6 t" V$ I, e0 r1 X
/ Y) ?5 R% v" |7 a5 s/ Oto set-initial-turtle-vars-age5 f1 d) e% R _. {% a
let max-wealth max [wealth] of turtles4 _7 X; Y& w1 K' d& a( f b+ @) }
0 z. @" o1 v6 F4 \: m ifelse (wealth <= max-wealth / 3)
8 i) O+ T# `# Z1 _& P$ O8 W [ set color red ) @6 ]1 s+ X; i6 u1 i I8 q. z
set age 0" Z4 u: L, s! Q
face one-of neighbors4
% r8 G" O- K$ e$ r set life-expectancy life-expectancy-min +
& R; E: d/ L/ M& [. [. B9 M random life-expectancy-max ! D) S+ c6 X. }% O( ~7 z
set metabolism random 1 + metabolism-low
7 i6 d+ X W/ U$ t+ E) A4 @0 O set wealth metabolism + random 30# B" R9 F9 I% }% Z$ }
set vision 1 + random max-vision
6 f+ y0 C$ |" _+ C$ K+ b7 A/ c) X set wealth wealth + Wealth-inherited-low ]1 Z3 ^4 U# z' B/ G' e
[ ifelse (wealth <= (max-wealth * 2 / 3)), F2 i, r L, T# p
[ set color yellow
8 i W: h0 H% d U set age 0. Y6 U. Q* e# T3 r+ t% k2 @# r
face one-of neighbors4 k1 e8 [3 d' f( x
set life-expectancy life-expectancy-min +; e9 \9 P) ?/ O
random life-expectancy-max + 15 B; v5 X% J4 {7 b
set metabolism 1 + random metabolism-mid
6 Z% g: ^1 Z* H0 }; Y+ Y set wealth metabolism + random 30* O. p4 \" w3 }* v
set vision 3 + random max-vision2 r: O, a8 H/ v) o- r9 M. l* |
set wealth wealth + Wealth-inherited-mid]! G" C/ A: o( Q/ O
[ set color green & d2 N" ?$ w5 A
set age 02 T J7 g* f9 @$ y% W+ a" g
face one-of neighbors4 # }9 G, {8 K% {; r
set life-expectancy life-expectancy-min +
$ |' Z, i1 V" M& M# }8 `# f8 \ random life-expectancy-max + 2
9 t- `$ L' p0 m7 q8 F set metabolism 2 + random metabolism-up
! F8 o s. t3 }/ T5 P7 f, j set wealth metabolism + random 30: Q4 T* P( T! H% B4 {
set vision 3 + random max-vision
" A( N# m# H/ m4 k set wealth wealth + Wealth-inherited-up ] ]
" d0 |9 w4 m, h8 |! x, k 5 \' x3 h" \) |
end/ \4 z. K! X% t. a: v1 Q
to set-initial-turtle-vars-wealth, k: a _$ e* I( u, W
let max-wealth max [wealth] of turtles' t5 G8 V" _/ f, y R% V, x _& f
set age 0* _ a- L5 N( M/ X
face one-of neighbors4 5 ~. j/ R6 F0 Z: `
set life-expectancy life-expectancy-min +
/ v3 _( h5 s' E9 @9 `# W1 H* I/ ` random life-expectancy-max
7 A6 |+ Y8 D" L set metabolism 1 + random metabolism-up/ r( R& H& `7 }. d [8 W% G4 {
set wealth metabolism + random 30
$ l, w7 @6 r9 L5 A1 O& S set vision 1 + random max-vision
V/ |4 O) x* n& ~end
% w4 q* i0 R4 f' E8 e; \$ J" s. Fto redistribution
D/ ~& b6 ?, a, D1 f3 ]! Xlet max-wealth max [wealth] of turtles
; _7 ?5 b8 I, u5 q9 I8 Q$ p0 klet min-wealth min [wealth] of turtles
: ^- p$ I- h' G% j! ^if (wealth <= max-wealth / 3)2 p# W5 m+ S# W+ l7 ~
[set wealth wealth + Low-income-protection ]
3 N, ?- u) |* U qend
! K" {* E* ]# l6 P! A& R
' g3 V( x' ]7 rto recolor-turtles
( O- m- b, o2 ?8 q, T- s let max-wealth max [wealth] of turtles/ T. Z& a9 V6 g5 ~0 m
ask turtles) s5 v# {. E+ i6 d8 d' k
[ ifelse (wealth <= max-wealth / 3)$ ]; R8 Q7 ~7 k% _% e- H- E# W3 \6 @1 q
[ set color red ]
; ^2 F% J2 T, H% m: F [ ifelse (wealth <= (max-wealth * 2 / 3))
0 U: [4 |8 b2 p2 E" z* F [ set color yellow ]) c. R+ g% \ k
[ set color green ] ] ]" ` |+ ^1 u1 |2 [
ask turtles [ifelse show-wealth?$ O! |9 O1 N9 x$ C0 t5 o
[ set label wealth ] ?, |3 r. h% W+ O7 }
[ set label "" ]]1 v0 m8 }, A: U$ a
end. M S! S4 [5 @% Q' M
, q# C3 K" V' b% y9 S$ g4 mto go
; p8 j& ^1 t- z' R ask turtles' a; s: V7 V: k$ M; j' h5 `: h3 o
[ turn-towards-grain ]
1 P& J1 b+ }' y harvest& ~# U" h$ a. S% |
ask turtles
0 b& f+ V" p( v: T% t [ move-eat-age-die ]$ I3 e7 m" f4 t, m, w. B1 v
recolor-turtles9 c2 ^ x( P! E! B
if ticks mod grain-growth-interval = 0
7 H; X/ V( {. o+ V/ `8 S/ j7 ^ [ ask patches [ grow-grain ] ]
1 i5 v) Z/ O4 o' j/ R
9 M" t5 P$ |. e1 M& Y4 A if ticks mod 11 = 0/ ]2 s& Y8 s2 k- {) w/ d" d
[ask turtles
& Z8 W/ B L7 V' N, B' e; e [ redistribution ]], I! G0 V' M$ ^
if ticks mod 5 = 0$ g7 ^3 Y3 j+ f; z" e, w
[ask turtles
- g0 ~( v7 W& c7 M* a) H2 ]# X; O' T [ visions ]]# I ^* G+ Y2 O% z" Y0 G
tick3 O. D) e4 C0 k) f
update-plots* m% S4 Q$ C$ _5 T; U9 B( l0 Y
end" M6 o) o2 o0 @9 d- r
to visions
7 f2 ]3 E5 {5 i8 K set vision vision + 1 - K4 f6 B$ ^, {( G. {! e6 W6 _
end3 N# @5 L4 v$ H) P* G0 K) |# O' G# Y) d
8 k$ G) f8 m2 r
" i6 `" b0 c' F. K/ K0 x. }; F4 C
6 O8 _' x# y4 D- [- o7 A% Sto turn-towards-grain ! P& W8 K) K' Q3 L* t( b
set heading 06 T) h; X) w7 X( F
let best-direction 0; }6 s4 p9 b+ T3 N) e: p( I
let best-amount grain-ahead$ Z! |; H/ F. X9 o
set heading 90' Q3 g* Q9 C5 R9 P g3 A9 k
if (grain-ahead > best-amount)1 m" ]8 S" p- o, {- ?( B% v: \
[ set best-direction 90& X% |" Y5 g) A: l2 V
set best-amount grain-ahead ]
) B/ L# M1 i( f# P! Y- n& W set heading 180
5 f- o: A# [' f* L if (grain-ahead > best-amount)
* B' q6 S' {) F/ q' M; n0 |7 L [ set best-direction 180
+ ] B( }% A! E0 y5 p9 a3 {: M) F$ h' n set best-amount grain-ahead ]. @+ b, x- x1 @' u& S7 |, t* j2 |
set heading 270
( [' s" O c% C+ p$ c# Q if (grain-ahead > best-amount)
3 [4 u& `9 d' ?* L) Z! O' m [ set best-direction 270
( T4 _% J A) u4 ?5 N set best-amount grain-ahead ]
: z$ W1 X l3 } set heading best-direction
/ l" U2 ~3 E Kend
, ~1 z* X2 D _& D0 E9 P# V# B2 d! l) K1 n R$ ^5 Z
$ q( ^/ j4 a: P4 {7 O
to-report grain-ahead : s6 M7 a* V2 V3 W# P- c: T
let total 0
2 ?* z" F( v* H4 |- Y let how-far 1
9 \1 ~. y% H, F+ E! E repeat vision
) |7 h; Z& G. u [ set total total + [grain-here] of patch-ahead how-far% g$ j) Z+ p/ _+ t+ n
set how-far how-far + 1 ]
4 }# H- b3 F& {. I* e1 l report total/ k) k* f9 D7 z1 t3 b3 c' L; B
end
p ~6 z4 T a! E4 Z
O$ Q4 R! u- d) {) h2 A+ ato grow-grain
I: _8 { X; r3 m: m0 g# k if (grain-here < max-grain-here)
! g5 ]. x# R' K% ~. W3 F9 k [ set grain-here grain-here + num-grain-grown
5 v" y9 l6 |0 i9 n$ F# Z& @8 s% Z if (grain-here > max-grain-here)
; Z: q* |# [- w$ \; K1 V [ set grain-here max-grain-here ]
. T7 Q/ v6 s k$ }: W: l recolor-patch ]3 j+ k9 w+ U W8 a4 V
end) z; }( @0 ^- W3 p9 a* [
to harvest
; f0 W# R9 [4 P1 i. f ask turtles; I8 i' d- ]8 H+ m i+ y" B
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
* ]* i& t/ D, {4 E: s ask turtles
9 A; Y/ Z: n% l$ k/ n; x5 W [ set grain-here 0
7 Y& i: a5 e, c2 a9 N$ x$ E recolor-patch ]
. Y' ~/ u4 B" `9 F* P, Q8 P F 7 `- y G6 A& \
end
; ?! h- h/ K8 w7 B& o$ M S; Q
& G, [3 U% ]# W jto move-eat-age-die
; A+ }, d ?$ A fd 1
6 }; R* A& C9 @2 Q set wealth (wealth - metabolism)
$ g2 J( ` l4 v: N set age (age + 1)
1 b& C5 Y* e" ~ if (age >= life-expectancy)% J } ~5 [+ S, V
[ set-initial-turtle-vars-age ]+ Z5 V( j9 r, N; ~+ a# e7 o- R
if (wealth < 0)0 y- I0 }! R# @0 ]
[ set-initial-turtle-vars-wealth ]
6 d" Z& x j0 _) I( K6 X" J( d - [' ~! B5 C& N. w6 f
end' e, n4 n1 ]3 o1 w- l0 M
; `/ @! |) x I" x
0 M# t6 [. |* ?( r$ p, I {to setup-plots
' B- L$ K7 E3 M( B5 l set-current-plot "Class Plot"
! |" x( T6 g e1 o! \7 Q+ s& H set-plot-y-range 0 num-people0 e( l& j+ E$ Q8 Q! g
set-current-plot "Class Histogram"- Y+ Q! N" {4 P/ P- t4 ]
set-plot-y-range 0 num-people
: Y. r9 s% k; R3 s2 F# bend% Y% Q' t O8 ^6 O* e; Z# o
* ]( z2 K+ i" l3 A4 c
to update-plots
3 x8 Q4 T# H1 L) U4 K/ W update-class-plot q2 t2 F: \7 c: \! W2 z1 F
update-class-histogram0 S& f- P/ E% M9 f
update-lorenz-and-gini-plots
) ]9 Y& L- E1 U Z/ }end* s- H0 ~" Q4 N3 z3 k" b
2 p9 J- u- K/ a! d5 _* Yto update-class-plot% p+ ~0 X$ ~- I! y( T
set-current-plot "Class Plot"
$ i& @4 j6 V0 y set-current-plot-pen "low"2 _! Y, @6 W; Q$ a6 @" k
plot count turtles with [color = red]0 B7 D% h( p' q$ x( ?
set-current-plot-pen "mid"2 s3 P' S6 P+ v/ _4 x5 m8 t$ Q& B
plot count turtles with [color = yellow]8 H& Q; G- u1 ?1 [4 v5 J
set-current-plot-pen "up"+ B' Q6 U* X3 P. Z+ S; n8 J
plot count turtles with [color = green]
8 R7 K% L E6 ^! a. yend, f( v. R1 A, |/ b) }3 w
% s. A6 d: Y/ \' ito update-class-histogram! |5 u% o; T7 q8 _$ o0 I
set-current-plot "Class Histogram"
7 z5 s! T3 g3 d; w plot-pen-reset+ }3 q3 m. d0 E" t5 h6 J4 F
set-plot-pen-color red* p. E3 m) D9 Z% Y9 E7 m7 G: H
plot count turtles with [color = red]' j% i3 q# P4 H( \& j1 J3 A1 W* `
set-plot-pen-color yellow. B+ E6 U; \. ^4 k6 V
plot count turtles with [color = yellow]
- O8 _* L% t" z+ P2 i. h set-plot-pen-color green
4 F% M0 _' _* R4 V plot count turtles with [color = green]9 W1 X2 r! w6 }6 ] [) Z! O8 B+ d7 m
end
/ p2 u! K% X8 O; Bto update-lorenz-and-gini-plots% A' b/ A T; l% G2 B7 x0 E) ]
set-current-plot "Lorenz Curve": `- Z# y- D z5 ~4 R
clear-plot7 N* P! [9 C, m- ^- n. P* R T
Y8 w( r/ {2 f
set-current-plot-pen "equal"
* Y# U j$ R: r. w) Y plot 0
2 y( l; t& l% ]- w Q plot 1006 t. W2 w) Q3 ~0 z6 T
0 K" X$ a, K; M, e/ o5 P
set-current-plot-pen "lorenz" Q$ }3 S) A2 K
set-plot-pen-interval 100 / num-people! Q% E5 Z. E: D
plot 0( B0 Z1 u. X$ i% p1 c0 l
9 R4 Q T: F3 U4 y% s
let sorted-wealths sort [wealth] of turtles
6 R- |- b+ Q4 P$ @; t2 S4 V let total-wealth sum sorted-wealths
- B. B+ [* t9 s$ N" \) J# ~/ P& k let wealth-sum-so-far 0" n7 S6 Z7 O1 u8 U! H3 h
let index 0
3 j0 r4 z: i2 ]/ G% |; u let gini-index-reserve 0
* f& L. x! P4 V- ]/ \0 n# b/ H; i9 X8 @" m0 g
repeat num-people [
! H$ {9 v9 i4 H* ^+ ]0 q set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths): Q! a" J; R* v# Z1 b# k
plot (wealth-sum-so-far / total-wealth) * 100/ N" e* |/ N, r
set index (index + 1)
" d/ l l' G0 `: b5 U set gini-index-reserve
, \2 ], d/ A$ ^" u* K' g" s gini-index-reserve +; D" C$ N% j; Q0 C
(index / num-people) -. I- A+ W) O( N# o) ~! |" H
(wealth-sum-so-far / total-wealth)9 Q1 t4 S9 v8 u
]. }8 J/ G7 w# ?3 G4 d* e7 m+ B" l
7 W8 u/ R( U) e( }8 [ {, u: I set-current-plot "Gini-Index v. Time"
# K9 d* E; _1 y' C plot (gini-index-reserve / num-people) / area-of-equality-triangle8 O# x( Z6 q# H; k8 Q8 v! ^
end
2 q, a" D. Z; ]8 C* dto-report area-of-equality-triangle
! ~( y- S/ z6 C; s+ l report (num-people * (num-people - 1) / 2) / (num-people ^ 2)' D- V6 D/ W3 H- M1 @+ t d. {4 r& E
end |