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[悬赏] 求教:海龟的遗产传递问题

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发表于 2008-5-3 20:47:29 | 显示全部楼层 |阅读模式
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
6 F7 Q: P2 a9 K; Wglobals
+ _) @5 \1 O2 a7 l' f" ?. [/ r: G: J+ |[& z7 C% `% Z& i) N5 N' D
  max-grain   
+ l; y/ C% y; n0 l  n8 {. E/ A( |: k6 B# |; V: G  H3 l
]% f" n$ W6 c, B1 y0 a( U

: [6 k5 `9 q# t$ j% Z3 x0 Bpatches-own
* c% T: x  J" g# @  U$ ^3 b" y6 P[
3 T2 G! h8 c9 @6 l4 ?  grain-here      # b" o3 @; n, Q4 K4 b0 E% m3 q8 X5 y$ @9 A
  max-grain-here  - v1 N8 L- Y6 ?2 F9 b) E$ Q+ {& }' V
]
( z" ]. h0 Y5 P" F) p$ ^$ A# ~) w2 x( z
turtles-own: S  `7 [# f; x/ f  A
[: P6 L. j' P, d2 Q* a9 ~
  age              
( c5 O. L" S, `4 W  wealth         % a4 W6 w/ c0 F" a) }, s' M/ g
  life-expectancy  
9 W! ?3 H' ?0 N0 S: ]# a  metabolism      
7 S8 D2 J: {* o  vision
* r0 _) A  P5 X% n" E" E0 {  inherited         
" q" T1 o6 @$ N1 y& t" {]4 p. Z& d) B3 y
( s3 p! }0 Y* X; S; W8 V) U2 S
& @: }" a8 m8 a" ]) c- {: r
to setup
: ]( t. B9 d4 s; G$ u% l: a  ca
9 t. G4 V) C. M1 h  set max-grain 50
4 O, z6 V: r( Y1 B; V5 A  setup-patches
5 o, T# J; v8 n  setup-turtles
4 J0 O. ?5 v0 e" B# a  setup-plots
& n8 Z7 o! N! \/ q5 H% Y  update-plots3 i2 ~/ w0 c- x
end
0 B/ o# w* h( a/ |to setup-patches
' @2 M3 c) u6 G  ask patches. F: T$ j8 b  u# F. K; S
    [ set max-grain-here 0
7 i4 P1 ?8 N6 M3 U- r; e      if (random-float 100.0) <= percent-best-land* z; V. v/ C% F1 W$ Q2 ^) d. Q
        [ set max-grain-here max-grain
, L% p% R! X6 g) e& C1 o          set grain-here max-grain-here ] ]8 A+ r  ^8 b  r3 G8 Y  g
  repeat 5
- l2 U' k& b7 o% N5 C    [ ask patches with [max-grain-here != 0]0 |( f% o* p" @- @; O% Y7 f% d# N
        [ set grain-here max-grain-here ]
) @% O8 U( u5 R- }0 I5 W      diffuse grain-here 0.5 ]
. A4 _# [9 d, v) T$ D4 r  repeat 10' s0 G5 ^, P/ _% K9 g! L: z
    [ diffuse grain-here 0.5]          9 U/ k5 E0 t. b' [: z* K: i; D
  ask patches8 C# p' `9 N0 v7 n' R1 h
    [ set grain-here floor grain-here    9 [* \2 h3 M1 v' D2 d3 z: `
      set max-grain-here grain-here      
% p+ P0 @$ Z% ~: `9 L      recolor-patch ]+ H9 T. A8 F( e* b8 ?
end8 q" m9 M1 [3 a0 h  d) U$ Y6 q
to recolor-patch  . a- G3 _3 O: w" O
  set pcolor scale-color sky grain-here 0 max-grain
( M5 M  `( s$ qend+ @/ d( @) H. M6 f1 L/ A
to setup-turtles6 U* J+ ?9 C7 u3 |' ]# C3 d8 W
  set-default-shape turtles "person"% Q7 b8 {* c" M  Z3 M' z
  crt num-people1 l0 X& I' k7 K; |
    [ move-to one-of patches  
  C& A$ `6 f- A! [' \; ~" `      set size 1.5  
- L& \+ v+ z2 r/ D  i7 G      set-initial-turtle-vars-age* h  Y8 Z! l' @: h1 a; \
      set-initial-turtle-vars-wealth' E  ?8 R3 }4 E+ R: Y
      set age random life-expectancy ]
) L6 G* N1 S% b2 l  A7 N- _5 N  recolor-turtles
" n" W: G( ^3 eend# G: O8 r5 Y$ L$ \) n2 y
( e, o6 _6 ?# b" }
to set-initial-turtle-vars-age, p2 o1 Q# P. s  m6 @
let max-wealth max [wealth] of turtles$ Q$ U9 g. p5 g4 w' h) J3 v+ v
   
8 U! |3 ^, @, p5 `     ifelse (wealth <= max-wealth / 3)
, d1 f" S! X* t        [ set color red / R& l: d" V+ A1 }7 @5 ^
          set age 0. |0 J* y" v: \
          face one-of neighbors4 ( R) \7 L* e& o) ?, \& b
          set life-expectancy life-expectancy-min +
, t* Z& _$ k# Q; r& c$ y5 l                        random life-expectancy-max
/ Y5 l% n9 d( M$ M6 z          set metabolism random 1 + metabolism-low
. f  R# V. |0 c) {          set wealth metabolism + random 30
, y2 |# B) b+ o8 X) Q4 s          set vision 1 + random max-vision
3 M4 s. X; l9 L: D% ^6 w9 X8 p* w             set wealth  wealth +  Wealth-inherited-low ]! c' [. C* M1 b  i0 ?) J2 L
        [ ifelse (wealth <= (max-wealth * 2 / 3))
4 m) V7 _0 D- z+ s            [ set color yellow
$ m: N+ x9 j/ u, g% w              set age 0  y$ K+ T8 R) L# }4 X5 A  q) W
              face one-of neighbors4
2 D5 p* _9 R. r1 ]: s5 F- @              set life-expectancy life-expectancy-min +/ I0 S9 I+ W8 G5 D
                        random life-expectancy-max + 1/ W: F5 W. N0 L% H/ t5 f. N
              set metabolism  1 + random metabolism-mid' H$ D0 t. E, K# y
              set wealth metabolism + random 30
4 `& ]$ \3 I+ L) T6 ]              set vision 3 + random max-vision" a( q% E9 o3 \. u
                set wealth  wealth + Wealth-inherited-mid]
) p# j% |6 S2 c( r+ X4 f            [ set color green 8 O" r+ x1 j5 p2 g/ D( s
              set age 0
4 ]+ A- S7 W3 N* Q9 E. P. w4 ?              face one-of neighbors4 9 X4 o1 T% r9 c: B4 J; `6 C
              set life-expectancy life-expectancy-min +) [. p3 A8 |4 a. W5 J: t
                        random life-expectancy-max  + 2
$ u6 q% Q: b7 s& [/ F              set metabolism 2 + random metabolism-up
. C1 p/ W( q  L1 V/ V              set wealth metabolism + random 30( [/ N& w3 J8 \% C3 [+ a
              set vision 3 + random max-vision
3 X9 n% |1 l! y1 U& I+ ?              set wealth  wealth + Wealth-inherited-up ] ] 2 F# Y8 V8 H0 O% E4 {9 ?
; D5 p( D% |; Y& p, G
end
* t6 ?% i& \+ ~' J" K9 gto set-initial-turtle-vars-wealth( o; w. @1 a3 Z
let max-wealth max [wealth] of turtles
1 d3 q! w3 |$ w( w          set age 0
/ r( e* c7 M( G1 t3 V4 e          face one-of neighbors4
1 _; W* U- n' E6 s( o4 ^% S$ i( S          set life-expectancy life-expectancy-min +
6 k6 f/ e; N4 R3 _                        random life-expectancy-max ( E( c4 U2 p  [2 ~' `8 V& l) L
          set metabolism 1 + random metabolism-up
: M. z! A" t6 ^+ @! f$ U1 \          set wealth metabolism + random 30
, c8 b* ?7 M6 p7 v          set vision 1 + random max-vision 6 ^1 ]! H8 U( H) p
end/ Q; m: I0 i# M" `! O# @9 ]
to redistribution- z0 K& a$ M! ^+ p4 d6 n
let max-wealth max [wealth] of turtles  g. H* y: z6 K. {9 N* x* i( {
let min-wealth min [wealth] of turtles
; H, o: }+ q0 ]- jif (wealth <= max-wealth / 3)
0 v8 y- V; K% @0 ?0 n" Q6 H3 t [set wealth  wealth + Low-income-protection ]
+ l, [8 @5 J9 n& H9 b' i8 a! kend
0 Q) d2 @. H) j) L% m         
, z/ G+ }4 J4 ~& Fto recolor-turtles
) l* n: h9 z+ n6 i/ S- O1 @  let max-wealth max [wealth] of turtles
: t/ H" u3 S7 d, W# {. v  ask turtles& E0 y- D1 \. T; G  M
   [ ifelse (wealth <= max-wealth / 3)" ]+ i# P* e; S  I
        [ set color red ]
' y% c1 ~% ]- \; m        [ ifelse (wealth <= (max-wealth * 2 / 3))
8 W  J; ~5 t" g( @, ]& O            [ set color yellow ]! k/ D4 g3 w3 @4 ]8 A" R# N
            [ set color green ] ] ]& L: o* m' I3 ?' g, P
ask turtles [ifelse show-wealth?
# |- A, d/ {0 G* @    [ set label wealth ]1 G, H# s/ a9 m
    [ set label "" ]]7 K2 F' m: K- ^  G  T& d1 Y
end* v# a0 u0 s" V# f; S" Y
$ C' z- E7 e( r8 g' w
to go
5 |) S+ z3 a* J* [+ w* D8 X  ask turtles
% w! N3 }* ?# P6 Z) a& f    [ turn-towards-grain ]  
6 q/ }$ |, z, o8 I2 h! u  harvest0 [5 {3 p, F* Z' `
  ask turtles8 A, D# h# I9 @6 Y( o+ W7 X  q
    [ move-eat-age-die ]5 G7 l+ L0 o# o
  recolor-turtles5 b( ?" j, R! p4 d. d/ l
  if ticks mod grain-growth-interval = 0
1 b0 |) @- g. t- Q  n! w+ C# w    [ ask patches [ grow-grain ] ]
" S- F# q. \' G% H8 G/ f8 \   7 B% G2 D2 E! d+ y, h, o
  if ticks mod 11 = 0
7 e5 |( \1 I" v' Q  [ask turtles
- _& b. |$ F2 q  [ redistribution ]]
- t0 S  e( S7 o0 `  if ticks mod 5 = 0
; e$ H& @) Z. Z5 ?0 D; ?0 t6 l   [ask turtles! j& e3 `6 g. D3 R9 z
  [ visions ]]- T& x  k/ J: V0 {+ C
  tick0 D( t7 g7 y3 _( g6 g
  update-plots. t9 s6 D: C' Q; m) I; k8 s; V8 j
end
6 W5 W7 k0 U5 N6 e( ?to visions
$ i% S' k1 A0 r/ K& M; V6 u set vision vision + 1 - E4 a2 p: k; V1 P9 b
end2 P: T8 z3 b$ Y. E, N9 r. I
9 P/ G6 h% p! k9 D7 d9 ^6 s

8 x$ d# K4 T- |  Z* ^* n, ^' |0 Q; Q  [- n( b% i
to turn-towards-grain  
/ t: u6 T9 |* c7 L/ x  set heading 0
. i$ `# {1 u1 ~3 {% T" K* j; m4 ?  let best-direction 0
: H& x) d3 K- N8 j( [1 B  let best-amount grain-ahead
5 |7 U! G# i4 b0 O( }) H  set heading 90+ @0 Z6 _9 e6 e& m3 U& b
  if (grain-ahead > best-amount)
) k! |+ Y( e# O# X9 S    [ set best-direction 90
* D2 S! K8 c/ h4 P! ?4 Z      set best-amount grain-ahead ]4 T# d$ ]8 K: z. A5 l" E
  set heading 180
& D- e6 B( G! e- |5 |9 k* H  if (grain-ahead > best-amount)
' l- E" K  I; u+ l; m- A4 P2 s    [ set best-direction 1806 J, z( q9 _1 _! O8 e
      set best-amount grain-ahead ]6 a/ T( S, Y) d- T  h
  set heading 270* L" n* ~# O5 E3 J+ _
  if (grain-ahead > best-amount)  X2 E8 O$ S: t3 g' f
    [ set best-direction 2701 _  x! [* P& I1 u* z/ U
      set best-amount grain-ahead ]( b+ N* v* S! S
  set heading best-direction; A/ q) c$ w' B4 w' {
end
$ K; L& w( J/ r+ |; D/ |! t- d; A+ \5 \6 M

' O, [6 d- q# _: q# y, pto-report grain-ahead  
& E. O" X+ }+ _2 y  let total 00 R/ Q4 Q. B  Z% p- g) ]0 j' n
  let how-far 1/ W3 w$ x) P2 q/ r5 Q
  repeat vision. C. V9 V& ~% {* D7 ]# _
    [ set total total + [grain-here] of patch-ahead how-far
# f7 ?& V+ g) Y+ A% ?9 t      set how-far how-far + 1 ]
0 i6 I9 U8 h% L3 W6 Q# b  report total
# B: [- A/ A) Q) P' y+ Dend
2 d5 e4 [# K+ |/ o0 {! D- M) m$ W. A
to grow-grain 1 c% a0 [& q3 n) Q
  if (grain-here < max-grain-here)9 D- i1 h6 d3 `, |* E
    [ set grain-here grain-here + num-grain-grown
5 ?; y1 K  g8 ~6 F      if (grain-here > max-grain-here) / d9 w2 j0 H* \
        [ set grain-here max-grain-here ]. J; @7 `* i$ o9 S2 f2 T4 c
      recolor-patch ]
+ K$ C. s! r- c, m, G+ u. jend
0 S9 U$ k" p0 V3 F, L; Q7 ]: yto harvest$ j0 w; ]) Q  e" q7 i" p
  ask turtles+ f4 D8 H1 d- Y5 W! `0 s
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
6 i0 w' ~8 W0 \' Z  ask turtles1 D' F' ^5 Z* u! N
    [ set grain-here 0
+ J7 p0 n0 n5 g3 n/ s      recolor-patch ]
# B  G3 B1 t* ]! b) R$ `3 ~) M, G4 h  : o. J' U1 d" c
end3 J4 W$ E+ |- x, B. h1 E( w
* B/ P$ J% R/ x
to move-eat-age-die  
, K0 o" }$ O4 N2 v& d4 z( V  fd 1
1 B. T/ b$ E  U# g( p  set wealth (wealth - metabolism)7 i# g# D, @) J
    set age (age + 1), o. v9 P  A: L0 q; b
  if (age >= life-expectancy)
. `% f9 s+ E6 W4 k' {    [ set-initial-turtle-vars-age ]
3 B$ Y1 h* F* O# Q* @$ c' k  if (wealth < 0)2 O  ?; u& l1 ]
    [ set-initial-turtle-vars-wealth ]
2 h' z  ~- }5 H- x& o' ?" J    % G" B/ ]3 K4 o8 r
end: @( Z) ]6 M- v9 z0 ]
( G* `3 ^7 B4 G) X7 M

( C3 O  O, v5 o9 h- k6 `6 k+ G. Yto setup-plots/ g! T. l; n, {% r( v# Y
  set-current-plot "Class Plot"& `& Q, _* p6 M- P8 C7 \7 M9 v) I. \
  set-plot-y-range 0 num-people
4 H2 C& j# `4 J  set-current-plot "Class Histogram"
, {; T- ]' Z/ x  set-plot-y-range 0 num-people
* ]( q0 k% ?+ S: Bend3 u! o8 M6 S' S

1 @8 t; y. J$ B) `. n' _to update-plots( {( a4 h- S# w$ j7 u7 d
  update-class-plot8 L/ R! l) @. a9 p5 ~
  update-class-histogram7 x0 L% T: S* @- J7 P
  update-lorenz-and-gini-plots
# }/ m8 ~8 E4 o) mend
9 o2 i! u8 P, c& M" V. L; F5 u% X- ?8 X9 r% B
to update-class-plot6 c, k9 Q3 f0 i- D. o' w
  set-current-plot "Class Plot"
, n" Y  ]. b$ C' t- g, E  set-current-plot-pen "low"
( w; g0 g- w" @$ t  plot count turtles with [color = red]& a) V; ^5 S$ q9 P
  set-current-plot-pen "mid"
$ W! ~$ ]4 m* x% A3 s8 M  plot count turtles with [color = yellow]
" J1 h4 b8 \- }4 Y. C( P9 r# [  set-current-plot-pen "up"
+ d6 e' K7 J5 a% n  plot count turtles with [color = green]/ u1 g9 X  X0 S8 ^' ?* P6 e5 _& }
end$ q4 z7 _6 S7 g6 U* T9 i5 p5 R/ J" j, |

, @9 ?; T: A. H' B/ `to update-class-histogram: C5 r1 o1 O" ^7 f% q# b
  set-current-plot "Class Histogram"
8 X9 F8 J7 O) B& V: l2 L  plot-pen-reset
( N! z$ T0 o/ S6 L  set-plot-pen-color red
" W8 r) `; h  h: k, w: }  plot count turtles with [color = red]0 g2 @' X& P9 r0 ?0 z# D
  set-plot-pen-color yellow
# y( N# X: I/ A( {* a. I  plot count turtles with [color = yellow]
2 c+ a+ T5 g; J( b% C  set-plot-pen-color green: o9 g9 C% b' ~) B, w) h: B
  plot count turtles with [color = green]
1 X7 _' T" x* \7 ^- t( dend. M- d, r0 b" m9 S# I/ P' j' A# U4 r
to update-lorenz-and-gini-plots9 A2 A$ `  x" a/ k2 d5 e# t
  set-current-plot "Lorenz Curve"
; m! k0 \- P& H# y7 ?5 b  clear-plot& z; g. M: Y% ?- V1 |
5 L/ q( L. m7 h$ q
  set-current-plot-pen "equal"; v: @: d% q7 p$ M6 e8 `
  plot 0- `. q7 z  i1 L8 x8 g) F
  plot 100% ?, D$ z  m# b7 x7 q
; B/ E9 V1 j4 [: L' U4 I% d
  set-current-plot-pen "lorenz"
6 e6 U9 U' b, \* z- H) t  set-plot-pen-interval 100 / num-people4 h6 K0 [8 w5 T, }$ A
  plot 0" l2 W: C: a" E7 l" U4 J) d

% ^% S7 J1 U5 P/ C  let sorted-wealths sort [wealth] of turtles
" X1 z6 G1 r$ o" H* o3 E7 m4 e  let total-wealth sum sorted-wealths
7 s( P' K! `7 R9 T1 M* T  let wealth-sum-so-far 0, P% F% F7 ]" d3 h. p
  let index 05 X1 A# V* n. R; Z  e1 i, ~* @
  let gini-index-reserve 0- b0 x( U, a) `* @* x

4 u+ z3 v; y9 n8 l3 p  repeat num-people [& M8 O* _$ y  [/ v5 c9 S: a
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths); `; s  h2 a$ J, S. n/ q- q
    plot (wealth-sum-so-far / total-wealth) * 100/ \9 O. U& b8 \9 t
    set index (index + 1)1 r4 T8 I. Y: T/ r+ e8 T8 O% Y
    set gini-index-reserve7 u& h' J8 d- h9 J
      gini-index-reserve +
1 o* u: n0 F+ P9 B, p0 S      (index / num-people) -) {/ ?! d" h% T# `9 i2 Y* k
      (wealth-sum-so-far / total-wealth)+ y8 |1 W2 }& T( `, I# p0 [; x
  ]
4 n! ]1 ]* a+ w2 n7 i- i6 W4 r* R$ E7 s
  set-current-plot "Gini-Index v. Time"! z( Y4 o2 \3 W% c  ?
  plot (gini-index-reserve / num-people) / area-of-equality-triangle% [; S" R; I* @' z. U) v4 j3 Y; G! e4 Z
end
* Z( M/ [/ d( G  o0 V. Hto-report area-of-equality-triangle2 A5 C: D$ F: D. [' `+ g
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)6 Q" N: B" e3 a3 M, e* F2 D( y
end
 楼主| 发表于 2008-5-4 15:49:14 | 显示全部楼层
自己写了用的hatch 但加在上面的程序中运行的时候总是出现问题T_T
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