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
: _' Z# N: Y0 e5 H. Xglobals+ B. ~3 F% M4 z% f4 C. l3 y. V3 V
[
6 {& M G0 \$ z7 V: U+ }8 P max-grain
1 V& l6 K4 i" X. J% S) S! v* `7 ]( j$ }( s! I/ k% A5 U# T
]( ]. [0 ?' ]) w. i2 K
. j: J# W4 A) ]2 w2 D
patches-own
0 g5 Q% J6 U1 u$ D" J& j: A[
8 x; k; `- T/ x: B/ o7 h y v& V5 d$ ] grain-here
+ r G2 n( R. G( c max-grain-here
5 X Y% t: E5 D, H- R]
8 `7 |) C) `9 K" P' O1 d( L0 f5 T+ ?
turtles-own( z+ C4 G3 E H" d/ Z
[; T0 A2 D( W5 x1 q: Y# G! K5 j: G+ L+ E
age
4 O2 E: Z Z! ? ] wealth 0 F5 M9 b0 T& V2 z) u
life-expectancy
' ~6 T5 n+ d/ { {( C metabolism
8 L1 T0 a$ i0 ` vision
" y1 S0 P. C' X inherited
" C% v' H, K2 U$ {3 N]
- L! ]! l$ v( E0 {$ ]" m' D9 [: Y X. ^1 n" ]1 Z! R7 v
6 [) q2 k- b- x# eto setup
* c% {) [+ M3 y* e ca" K, m' T. ^* x" O7 \4 X1 m& J& Q
set max-grain 50& y% y' w& Q6 c$ J
setup-patches) m a7 b1 v" f& H3 s+ f" z y1 |
setup-turtles0 P$ ]1 C- J+ s: Z B3 c- m. ]% ]
setup-plots8 m& x/ N8 C2 S) e8 Z
update-plots2 e/ [+ L n9 p
end9 Z2 [! L, X; V/ S1 W; Y" V
to setup-patches7 V6 s# w% T; I. ~5 P
ask patches; e4 N- b' w) N. }
[ set max-grain-here 0
1 i& j8 V( H F( ` if (random-float 100.0) <= percent-best-land
9 }' T ^2 P! i1 R2 u; C3 o' A [ set max-grain-here max-grain/ i; N0 ^; ? `
set grain-here max-grain-here ] ]
' y! S9 M" v7 a repeat 57 h) _' S( ^7 A0 W) r( T5 _
[ ask patches with [max-grain-here != 0]
# Y1 K4 h7 ^# a [ set grain-here max-grain-here ]
% ?9 o4 x' S6 n diffuse grain-here 0.5 ]
! J+ I% p4 h; ? repeat 10" `" I( n* M) n3 f, e5 U
[ diffuse grain-here 0.5] y. Z E7 o" B0 _4 r
ask patches' _, ?9 ^/ } G- b% Y, R
[ set grain-here floor grain-here 7 u: H& o3 t& @* q
set max-grain-here grain-here
9 n, P& W1 q. v$ d6 W. c$ ]2 m recolor-patch ]
5 w4 D- p: U4 D! Y* g5 g7 k9 \ Cend. Z; q& u7 L& E6 y1 u) F
to recolor-patch 4 {+ A9 A1 S4 x; |5 F( Z
set pcolor scale-color sky grain-here 0 max-grain
8 j4 v) a, V9 m! E! \ S+ Cend
/ I9 k5 R8 T$ f8 g6 k# C& jto setup-turtles
/ \ ~, O! V9 k0 L O; q set-default-shape turtles "person"
0 A5 |& ^8 [3 Y+ R5 k; g) _: ^" Q* e crt num-people) y0 P/ F o0 F7 A+ ? |
[ move-to one-of patches
' p0 O4 [+ t( n/ e: \. b$ W, ~4 ` set size 1.5
+ j7 F( S* k7 v0 u6 V' D8 d" t$ o set-initial-turtle-vars-age
5 m. T. [; S: c' }+ |; h4 [ set-initial-turtle-vars-wealth) g' _# i! ^' l4 a! c) ~+ |
set age random life-expectancy ]
4 I7 E9 [1 B9 I' F% C4 e6 O2 G" V recolor-turtles' `+ k" b9 |/ Y+ }! k
end; z3 w" a$ r6 [% X0 c+ ^3 T
8 [' j* _( a; ^7 q" s& {
to set-initial-turtle-vars-age
% K, |4 b9 t: ?! S w let max-wealth max [wealth] of turtles' ]! T9 j1 K$ L. o p
2 P0 d3 L+ ~* v! x5 Z: Q4 j8 u
ifelse (wealth <= max-wealth / 3)
4 i5 p1 X7 X" F! T+ c( I" y6 | [ set color red
' T* R8 _4 A p5 e6 i* T! U set age 0
- u# L0 a! b. w; ?( K; d U. [+ j: g w face one-of neighbors4
; q/ u' P- l- }/ b0 _ set life-expectancy life-expectancy-min +
" u; q; k) S6 Q" n4 h2 i9 S random life-expectancy-max
! V# x% Z& o5 Y4 T set metabolism random 1 + metabolism-low$ x3 R! G! {) k
set wealth metabolism + random 30
- o! v) l6 j2 S4 u e set vision 1 + random max-vision
. e$ S; m }4 I6 ~; D$ J( Z# V set wealth wealth + Wealth-inherited-low ]" R# I& ]9 X8 P+ L% s
[ ifelse (wealth <= (max-wealth * 2 / 3))
. ^* l* e, ]; m [ set color yellow 8 K$ |# E) p" z. w
set age 0
; a7 ~$ n2 i: e0 S" _/ l% S face one-of neighbors4 ; s' ?+ _& X$ U# n8 l0 N/ ~3 h5 Y
set life-expectancy life-expectancy-min +; J9 ~0 S5 I& e) W ^
random life-expectancy-max + 1
/ \: J9 A9 t1 b- U& a- B' F set metabolism 1 + random metabolism-mid
/ F' M1 C9 Y& }/ _% Y8 @6 p7 r. Q set wealth metabolism + random 30
' T: t2 ^7 W8 r7 }% H set vision 3 + random max-vision8 }7 L5 @! D% D* M' K
set wealth wealth + Wealth-inherited-mid]
7 r4 {$ Y* a8 u7 a% ?1 w" J# } [ set color green
( C5 s [+ a' } set age 03 x+ _0 |8 }" p2 N! O
face one-of neighbors4 $ K4 u" a) \( r) [
set life-expectancy life-expectancy-min +
S5 e( `# v3 K6 f4 }9 h random life-expectancy-max + 2- _$ J4 w3 I7 g' e1 l+ P
set metabolism 2 + random metabolism-up
# N Q% h; u/ g. a2 ^+ F2 c set wealth metabolism + random 30
; Y3 o& O' n) S6 Z4 h$ X9 l- t7 q set vision 3 + random max-vision
- K' x3 b, k5 N! i# j) U; O set wealth wealth + Wealth-inherited-up ] ]
' ]8 i: U) x# h, t `2 p8 b& q, N . w4 C; ?2 m! D! }8 j
end J( |+ s! f: o
to set-initial-turtle-vars-wealth
" S! j9 ~+ i2 J$ k$ X. O$ \' i. X! Z4 F let max-wealth max [wealth] of turtles
: C' U) V' _/ v% s+ j, i9 z set age 01 K* r* E/ j* E% s5 x) U% @' G
face one-of neighbors4 0 Q, E1 C' K% f" `5 A
set life-expectancy life-expectancy-min +$ |: ~- i# {4 ?* a
random life-expectancy-max 9 R* c7 D! V$ m2 l
set metabolism 1 + random metabolism-up7 r6 V% a8 Q3 F; Q9 ]: p# Z3 X* c: O
set wealth metabolism + random 30
3 U8 x* d P# Y set vision 1 + random max-vision ( V: K" l) q4 y
end3 O; u6 Q3 R1 @: L: L! _1 D
to redistribution
' c3 ~7 N M3 y" [ R8 ~9 {' \let max-wealth max [wealth] of turtles# ^/ v4 m9 E) x" E( ~2 k5 k8 z
let min-wealth min [wealth] of turtles
/ y W0 {- `' ~% U+ N* F& ?4 f9 tif (wealth <= max-wealth / 3)0 d2 @6 a; A& t0 `, D4 t' v. M" |
[set wealth wealth + Low-income-protection ]
, `- j/ V) U' t0 Qend
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to recolor-turtles# T* v- e$ t4 X2 s h% r
let max-wealth max [wealth] of turtles7 B' v9 w9 w$ x% l
ask turtles
) u& z' c6 q4 q% `# j) w1 R [ ifelse (wealth <= max-wealth / 3)0 C5 n, Z! {) P$ L# X. l2 [1 S
[ set color red ]2 I, B. L) x1 F ?6 j+ i
[ ifelse (wealth <= (max-wealth * 2 / 3))
4 h2 c4 {6 b; P; y [ set color yellow ]. @/ {% V1 c' Q+ [$ l* m4 H' }( g
[ set color green ] ] ]
a+ e+ M9 J/ W# Q4 w! v6 Z ask turtles [ifelse show-wealth?2 Q \ B. h% ^4 N9 e
[ set label wealth ]8 A7 R4 M# V( ]: n
[ set label "" ]]
7 _# b+ G$ ~1 |9 O5 m1 Uend
5 \. Y/ _: Q; d7 X: B: p1 V$ k! E6 J- H9 I7 X5 `% M9 |: p. ^
to go" O# Y7 ]3 p4 @
ask turtles
+ Y8 s. a. o& H/ l/ D( @% d! } [ turn-towards-grain ]
$ t- J, q5 i7 M; F3 N$ m harvest
; X) @) U# E& D! w, i1 r, s& ] ask turtles+ G4 ?9 G3 q0 Q1 T
[ move-eat-age-die ]
G% b; Q& z |/ F9 U* X! g recolor-turtles" C# v, ]. @* a. W+ w- U6 v5 ?
if ticks mod grain-growth-interval = 0
& ~# S* E: U4 y8 l* k [ ask patches [ grow-grain ] ]
/ L" S- X" o+ I4 S8 q+ x* R
! Q/ E/ i* I' y$ ^* c if ticks mod 11 = 0! u4 f" q- Z0 N/ R- ?
[ask turtles
. \0 p5 E& k& c [ redistribution ]]' L/ d+ i& S$ D- e- \: A
if ticks mod 5 = 0
4 g/ P ~% B7 U# q7 |" t [ask turtles
7 q' t' p9 r; e7 i( E5 W [ visions ]]. ?- @: l/ O! _8 W7 ~5 i6 S* h
tick
: w! o" s) A% V' ^. j- y8 G! Z update-plots
/ N/ N; ?/ E9 O7 ?# L- }: T4 Tend" v/ | c% e" [4 L6 @
to visions
0 [% ^( A- s$ R0 w/ r/ J1 m9 v, k set vision vision + 1
/ ]3 [. R9 k$ z9 \) jend( E0 c& N7 B1 s. V9 m( g' j
" a: o+ W, A0 J+ P1 L2 N5 Z3 B8 d$ C. z6 @( R2 y' ^/ j' a
$ @) Z0 ] o$ P0 r
to turn-towards-grain ' K: H. c1 n3 s' a* [
set heading 00 L! n' b: _+ b# X: w, R/ s" z4 j
let best-direction 0
1 C I0 @5 ?2 Y* n let best-amount grain-ahead
1 y& m' b. z3 L! N set heading 90- ?- B f! Y$ s) d$ t% @: L) S7 W
if (grain-ahead > best-amount)
, ^! C" |& w' g/ I4 v [ set best-direction 90
1 A4 z4 ]3 \1 i) ]+ q set best-amount grain-ahead ]/ f' T7 r4 }$ b" q, m
set heading 1802 q2 o5 U' p, V$ s
if (grain-ahead > best-amount)
+ I3 X+ O3 z7 O. G2 G [ set best-direction 180
# L% j/ ~- a# A+ w- { set best-amount grain-ahead ] P; b7 ~8 f& C# M# ~/ _6 {
set heading 2706 a" o9 B! s4 g4 G9 D P
if (grain-ahead > best-amount)# K- n4 A$ N! K" r! A" L, [ A. D
[ set best-direction 270
# s h5 ]7 ^2 X; t4 s' m set best-amount grain-ahead ]
0 U: _3 A# e6 U8 \* N* D set heading best-direction
8 `1 ]6 ^$ e- D3 tend! C' N; o3 z; H, J& u# B
. [ V5 x$ @ n( @* Z+ o# J
0 I: R4 m( C6 N" Jto-report grain-ahead 4 A/ F8 s" B( {+ w4 |
let total 0( b; k& `4 T- I1 p8 a2 ?
let how-far 1% @2 j, Y7 r* D) X
repeat vision, g4 y6 J. e9 u2 g
[ set total total + [grain-here] of patch-ahead how-far7 d8 C: A) [/ j% F; ]
set how-far how-far + 1 ]* B+ c& x" D# t5 E/ x" J8 K
report total
1 B' `$ i- P4 C% n( oend, \+ }5 D1 _4 S: G% j" x
@* n; L' @9 V' P+ m9 Oto grow-grain % `+ w% c9 `( V F% p
if (grain-here < max-grain-here) @; ^" {% U1 [* a" f
[ set grain-here grain-here + num-grain-grown
, `1 O. z9 s: G1 E if (grain-here > max-grain-here) - D# }: n- v1 [( `( z
[ set grain-here max-grain-here ]$ l1 y2 B1 ^2 l8 A2 X
recolor-patch ]& c8 t( {4 D$ K7 a
end
X/ Q' I3 l. Z3 yto harvest
. f. x0 N) M: e; _ ask turtles
4 f2 i7 |) S- k! G1 ]# S, w- b [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]2 T( d3 m# k, _; [2 i" u6 J
ask turtles
" T4 _) s, l8 u0 b+ X% k/ I# ?, ?, n C$ p [ set grain-here 0/ h& f3 W- \# U4 o
recolor-patch ]: m- y1 w& A9 d3 F( c1 H9 f
8 Q% \! I/ F7 i4 p$ E; q0 Uend
, k- I* m% h) \5 N" E2 U5 [% Z* K$ D3 u8 |% j/ G$ l$ Z
to move-eat-age-die
3 f4 j& r1 U# E, q$ U! M2 } fd 1
! I# V9 E" A, S8 h$ B. L% z5 _! Y set wealth (wealth - metabolism)
/ C0 z5 l7 \4 }7 E+ a B+ p set age (age + 1)
0 v) g9 k M: n. K1 ] if (age >= life-expectancy)
3 a9 b" [" ]) o& U2 {; n# d [ set-initial-turtle-vars-age ]+ a7 e$ T: @- f; f- B# L- ~
if (wealth < 0): o9 B0 E- W0 [2 W5 {
[ set-initial-turtle-vars-wealth ]
C+ N4 s3 s! ^* h# t
1 T* y; c' ]% j6 p5 Xend4 ~' x" o f2 ~/ }$ S+ H
* X! M' B9 ~ a" N7 f+ u: d& x; c
) Q9 X: @7 o T5 C, d
to setup-plots
; q b3 Z- X; L/ u set-current-plot "Class Plot"
" |0 |6 F i. j H9 Q, I" _- g7 E set-plot-y-range 0 num-people) x3 @0 c1 @0 W" H
set-current-plot "Class Histogram"3 k# o) c& R: D6 `. k1 \
set-plot-y-range 0 num-people* U$ A e5 O! G, w
end8 A0 s5 L* h. Y9 `1 ^1 ~2 Q
: k; t# ?* b7 u7 s6 q9 M% m
to update-plots
. q- Z7 _ p! S+ h% T update-class-plot/ W+ O. ^/ S% J b1 b
update-class-histogram
" X0 ?! N- R3 O update-lorenz-and-gini-plots; u c7 S! y5 i: ^% m [( T
end. X* c! T+ }( P5 O) E' ?
* s1 o5 e+ n6 U/ m( C
to update-class-plot
. c$ j7 x) X; f7 k2 } set-current-plot "Class Plot"" E2 S- h! q. n; t2 u
set-current-plot-pen "low"
* [1 Y n# B' L7 ~8 N plot count turtles with [color = red]5 u; Z. ^9 @8 {7 W, A# y/ }
set-current-plot-pen "mid"5 D2 @2 ]7 @1 T+ X% ~1 b8 N
plot count turtles with [color = yellow]
. C. M% `. d) y: n. o set-current-plot-pen "up"
- L4 {# z% i: i% ] plot count turtles with [color = green]
$ j# ]% H2 w" q4 D3 p2 vend
. z! x( k7 N; s
8 N6 i8 d; @9 z& I( t" kto update-class-histogram
8 m# I9 H( y+ I" K) l4 o4 B0 X set-current-plot "Class Histogram"
3 J- J5 G4 g, [7 f# z+ R0 W plot-pen-reset" x' I+ Q# [% `2 J7 D4 P V
set-plot-pen-color red3 d; `8 k& ?1 D! q3 d: k
plot count turtles with [color = red]! o+ A' s0 t3 O, R! P' ~; t" V
set-plot-pen-color yellow; q8 W! R/ p( s* i d) y/ R: a
plot count turtles with [color = yellow]7 [* b k: u7 E
set-plot-pen-color green( U+ O/ q1 V: }4 C I
plot count turtles with [color = green]
8 w+ Y0 p+ C. G/ y2 \+ ~end
, h; D" r% {& `5 \7 m gto update-lorenz-and-gini-plots5 X8 e% R* c. e+ g4 k
set-current-plot "Lorenz Curve"
( P; ?: P$ y; t1 D0 K clear-plot* l6 k/ z' s' L8 [! @6 ?. o9 T" z, ?
, U& f' y" t' t0 c' t9 H" E2 C set-current-plot-pen "equal"
1 g: [$ \: D6 M: H5 S6 D/ @ plot 0
% G' Q; Q$ _2 @8 @% b- r plot 100
5 ^5 T2 u1 }& u$ f/ [4 j" M/ M) n; U8 o, v1 v" s% B
set-current-plot-pen "lorenz"
4 ~! ]+ ~# ?+ v+ ~ set-plot-pen-interval 100 / num-people, z/ G7 a1 b. e5 G/ V3 p9 l
plot 0
2 T& @$ h; |, u% D
. w9 A! j8 T, N( w. C let sorted-wealths sort [wealth] of turtles% v9 [/ p( z( r/ y+ m( l( n
let total-wealth sum sorted-wealths
3 R" A* K$ y! i8 {7 B% L; G) k let wealth-sum-so-far 0
+ M* r3 J5 ^" O6 d3 d8 s$ f let index 0
* `' Y) z9 a8 n1 Q4 ]! Q" Z" ` let gini-index-reserve 0
. ]3 E: ]* d. i6 A7 d2 L& }: I8 }; o
repeat num-people [+ N5 _8 j6 s& B8 K; F$ Z4 L
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
& A5 i, G6 b3 n/ c( p plot (wealth-sum-so-far / total-wealth) * 100
) Y" i; U+ T3 x/ T* c set index (index + 1)
2 f6 _/ V, V& j set gini-index-reserve! E" R5 t: G& u( f0 I7 }! I; V
gini-index-reserve +
8 ^- o1 d: q# S9 l& s (index / num-people) -9 p$ K# ^. Z6 u$ x: W; @3 l% s( r
(wealth-sum-so-far / total-wealth)
8 ^* ]* |4 x9 G" G* S ]8 {8 E1 }0 W6 Q# p2 @
3 L, T# O" ~8 l6 ` I: [8 b+ Q
set-current-plot "Gini-Index v. Time"
8 H0 c! Y3 d8 d H plot (gini-index-reserve / num-people) / area-of-equality-triangle8 S3 _. \; x$ { k% _
end4 j" C; g4 u$ t
to-report area-of-equality-triangle
8 ?! ?9 h V0 ]. R, q$ j9 U1 X report (num-people * (num-people - 1) / 2) / (num-people ^ 2), e7 u9 ^* o, s! M3 [7 D i' ]
end |