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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
9 E( b4 X9 z6 {6 x% }1 ]! E" Gglobals
) @, o- c; a) C[+ m6 P# N2 E: r( Y& H- T3 L- H
  max-grain    + v' v4 _) G) j% [. S

# W& k( b9 `' ?: H]6 f; o" b) R1 X! [/ Z  r; T* X

+ P, J( ~, O" N8 c* Upatches-own
) p: {7 h9 j0 c6 s[% [$ ^  Y4 ~$ L# a+ V6 S/ R) @) X
  grain-here      
9 y. C0 T6 L! [! `( n. ]8 s% i  max-grain-here  ' w% N* D0 z6 _* ^8 U5 Z' F5 q$ W
]  ]1 @" Y5 n, A0 S# R4 B1 b
8 Q- Y0 v7 R' V$ p" l
turtles-own
! N' V- t, e5 [* ~$ t0 p$ t[
/ U  E2 @4 S2 s) Q0 n  age              
& L* `! ?* L% L5 [. s  wealth         9 f0 J  v" `2 L$ \
  life-expectancy  % {- @# J) v0 z! i# O7 b' g
  metabolism      
4 I: A, {/ \9 d* `0 ^8 i7 {6 ]- o. Z  vision. Z# C4 N, e, ?5 s6 ^4 v! C
  inherited         
7 y# ~7 ~. X; b# E]
' D- X8 A; M, f+ q) T( E* v& y
$ I3 Q2 ]  E4 s6 C" c6 Q
$ L) L6 ]' |4 p  z$ n3 [+ Z7 Pto setup
: M3 N- |; ?8 F2 R; q4 c  ca* b7 n9 N% y4 x
  set max-grain 50! G! M2 \1 L, {/ E( K" r
  setup-patches3 ~/ U- ?8 A9 N" Q# m1 `% }
  setup-turtles
$ ]% b8 s- K1 W- m- y8 J  setup-plots
7 z' S% a" z4 D! _- U& t9 b  update-plots
6 q# E9 E$ ?9 _; @end, Y* B7 a4 Q* @( v7 z7 @
to setup-patches
3 b# O$ b& r; `6 t, {  ask patches+ }0 \7 y4 I0 M+ q4 a6 E
    [ set max-grain-here 0
% B5 U4 q- I7 ]      if (random-float 100.0) <= percent-best-land* g# ]+ I$ g! S9 O" r; }
        [ set max-grain-here max-grain, A* v6 U8 h& i5 S  H! L6 }
          set grain-here max-grain-here ] ]0 I6 M% n* r+ s/ B
  repeat 5
9 @8 s* K- `) x$ w/ R    [ ask patches with [max-grain-here != 0]) I  s4 S6 e. q, P. P' T
        [ set grain-here max-grain-here ]
" y8 [1 h8 ?6 S# b: L  ~      diffuse grain-here 0.5 ]
5 F4 g. }0 y; u' s- f1 ?  repeat 10
6 P/ P+ a" B; Q0 K    [ diffuse grain-here 0.5]          9 [( v. n2 ~/ ]6 S- x$ f
  ask patches
8 q. t6 Y* L) a% k+ V9 U# z    [ set grain-here floor grain-here   
1 _. ~2 X2 E* ?! I7 h- _      set max-grain-here grain-here      4 m. I; x# u+ G
      recolor-patch ]) A+ \0 s8 [, {+ V
end
3 N% W2 d! U: k% R- O) Q6 Y" a& Kto recolor-patch  $ D  z; D! g* U  _  t
  set pcolor scale-color sky grain-here 0 max-grain
2 I( k% k  J1 }; @- o, eend
3 z9 D5 V# \0 \: Y. h5 Y2 Q3 |to setup-turtles
! K4 T! l4 e, ^- E( P: j  set-default-shape turtles "person"
7 k1 X- |5 k  X. U  crt num-people, l2 g% J8 D9 o
    [ move-to one-of patches  
2 {4 k1 T% [" F* J; G8 k- [      set size 1.5  ) L8 D; t; o$ b- b: t# {  W
      set-initial-turtle-vars-age
( Y0 q( q: N$ L+ a      set-initial-turtle-vars-wealth
% p! j3 C; {# a" D6 P* J, ^5 ?      set age random life-expectancy ]
$ \( D4 E. [7 o2 ?  recolor-turtles0 k5 @  W1 O7 t( z2 D" X$ o" Q
end5 |% a  ^/ Z, ?) t
% o. _& Z, K8 T# Q
to set-initial-turtle-vars-age2 R3 s8 t* y6 Q2 B7 |
let max-wealth max [wealth] of turtles
; z  @7 ~7 ~2 C5 U    ( b, z2 l  X$ g: k% I
     ifelse (wealth <= max-wealth / 3)' a& w- |) L# J5 ?% u
        [ set color red 1 s; @. k0 _% S4 \0 c: U. k
          set age 0
+ C; x0 J8 _1 T# ^" i; `: k$ x          face one-of neighbors4 0 ~) \6 |8 ?: d) L  z
          set life-expectancy life-expectancy-min +
! X3 y. _( F# A. l                        random life-expectancy-max
7 k6 c2 Y/ k$ Z3 V3 ?          set metabolism random 1 + metabolism-low. `2 s- `! Y* A. W
          set wealth metabolism + random 30  a6 n8 K3 J. m& c
          set vision 1 + random max-vision
$ ]; A, N) z; d3 U! _* M             set wealth  wealth +  Wealth-inherited-low ]: Q4 W( F$ @, ^
        [ ifelse (wealth <= (max-wealth * 2 / 3))& @7 w& e3 n% Y0 @* @2 X( m  Z# f
            [ set color yellow
5 N; O) \' p0 I% k9 N% d              set age 0. G8 b9 \5 p) W' F3 N% ~- z7 K
              face one-of neighbors4 & o" X7 E' b9 T2 ]8 \; E! {
              set life-expectancy life-expectancy-min +
4 K; b. Y4 a' W- Z: a' W- A                        random life-expectancy-max + 1
6 D- I" Z% u% Q& m( K9 h2 Y              set metabolism  1 + random metabolism-mid
: p0 L* J* F! X' E" q              set wealth metabolism + random 30
5 ^) |5 R: V0 e6 t0 S9 x              set vision 3 + random max-vision
9 a3 L+ E+ n6 K! v; A                set wealth  wealth + Wealth-inherited-mid]# T  u. E' K8 J! \4 ~, Y' @
            [ set color green 0 K0 h- F6 x5 v( X3 \
              set age 0( w! B) V# }; T$ [$ T
              face one-of neighbors4 6 I, s* x9 F: H% T2 z* G1 t! {( S
              set life-expectancy life-expectancy-min +
3 a. T; e1 t3 @; E) f) v                        random life-expectancy-max  + 2
8 O6 l, N! O+ F. T4 R              set metabolism 2 + random metabolism-up: {& V* Q& |+ H4 X" a1 u1 a% v
              set wealth metabolism + random 30
0 L6 t$ h! w0 P9 h: z4 S0 A% H              set vision 3 + random max-vision
- {) q4 ]' Y$ A6 k              set wealth  wealth + Wealth-inherited-up ] ] & J; i; U# D4 E/ R/ Y

, o% m/ ^' K0 l" T  O7 Q! iend7 }8 T! N2 t1 q* f' Y& e4 c
to set-initial-turtle-vars-wealth
- }' R/ |: m5 N  Z! B- e. Z let max-wealth max [wealth] of turtles
/ m' V4 y  E4 e+ @) H( p          set age 0" Z6 W/ i' l! _: n9 W: H: w' S( A
          face one-of neighbors4 2 l1 H4 b8 \0 |
          set life-expectancy life-expectancy-min +( [/ ?& M7 W! e
                        random life-expectancy-max
# D/ a) t5 Q* G  V          set metabolism 1 + random metabolism-up' y& \" W) ?: v( G+ [6 r4 `
          set wealth metabolism + random 30
% \, _% b% ^3 O          set vision 1 + random max-vision 1 t( |; o% D8 A8 T( {
end0 l: [0 U. L. F3 l: o4 C) K3 U
to redistribution$ }. N1 K% i8 o! l; _
let max-wealth max [wealth] of turtles
3 Z/ n( Q! L5 c$ nlet min-wealth min [wealth] of turtles
! I& `: t, {; q6 jif (wealth <= max-wealth / 3)* X- U, a8 z5 |$ V4 Z
[set wealth  wealth + Low-income-protection ]8 d0 P$ z  ~1 Z9 v- @2 V  k
end& u  g: h# I/ ^
          # d" E6 k( L" ^0 h' J4 d" p
to recolor-turtles% h# o  A/ [1 S6 r9 x; y
  let max-wealth max [wealth] of turtles3 k7 |" ?( b! k7 Q( @  }. e4 `
  ask turtles
0 S& P4 V, R$ r& t: W   [ ifelse (wealth <= max-wealth / 3)
4 @( W% i, o; H% `* v$ j& ]        [ set color red ]: k3 L% O5 c" T* R
        [ ifelse (wealth <= (max-wealth * 2 / 3))
0 l/ n1 H/ D1 x6 V. g            [ set color yellow ]: O1 A# q, q  e
            [ set color green ] ] ]
2 X8 b: o3 g) M' ~- z0 X1 e7 d" B ask turtles [ifelse show-wealth?! n8 P6 Z4 \7 ^7 z. O
    [ set label wealth ]6 L" w* J3 @' [
    [ set label "" ]]
, Z$ S  i0 S" H8 U( u' jend8 ^2 |0 q, [  [/ D" W1 W! X

  d3 ]/ ~7 W0 v" Y- i; F& X) P6 Xto go% i  B+ k" N. @! Y/ C# f
  ask turtles  s) J; x& I% w+ y8 {
    [ turn-towards-grain ]  7 ]3 ?; a  T' j. r1 V5 `, e
  harvest
( ?2 A; b# t, ~/ s4 [5 D; T  ask turtles
" p8 B* J4 }7 k; @9 d. T0 s    [ move-eat-age-die ]3 K$ p2 _3 l8 T9 Q; v+ F1 q
  recolor-turtles3 |  o; R) R' D& W* L/ t" |7 N
  if ticks mod grain-growth-interval = 0$ r1 V  W$ B4 D
    [ ask patches [ grow-grain ] ]
: o6 d; I$ q& D/ Q3 F   $ W0 z! d  ^. \; V
  if ticks mod 11 = 0, m2 c8 X% M& I/ {/ A
  [ask turtles* {' O) G7 t; ?0 d  S* {- ~8 H
  [ redistribution ]]# N: e$ ~+ {! Q+ }$ [* M
  if ticks mod 5 = 00 K) m- V5 t  H3 `
   [ask turtles4 q5 s; ?) d$ _" {+ o% x" s% M
  [ visions ]]
" O, B5 S0 X! |5 H, |2 a  tick
" \5 U/ r3 F6 G: o3 D  update-plots; L5 w# `' S' M1 }8 k
end5 C) R# h" L( w
to visions+ t" M0 z) ?; \3 m- w
set vision vision + 1
" t0 |: f. r$ I4 g  G. uend
" P) }8 D; K* r4 ]2 \+ c/ n4 ]  e' t7 e. E, E8 f' n9 \& j4 C
& h( E* n0 w: K' M

; W+ e& \3 M) @- Pto turn-towards-grain  
) ]; D$ ~2 x9 u# _$ H  set heading 0! v5 M; w# t2 F4 O) N% r0 A
  let best-direction 04 {7 r; E8 q" s3 j5 I$ \  A2 \) W4 d
  let best-amount grain-ahead0 w; X4 p: d$ @& R
  set heading 90- _6 w  u7 o+ N" q
  if (grain-ahead > best-amount)
2 O7 H' i( ]3 ~( w    [ set best-direction 90
, _, q. b; y  F+ }" l      set best-amount grain-ahead ]% G+ ?. ^' c" ~9 D, m4 H. i
  set heading 180
8 {3 }; v; t* Q2 l. ?, r  if (grain-ahead > best-amount)
+ q$ R8 B% x# C) e! Y    [ set best-direction 1802 l5 \5 s4 _% l' C" q+ ~
      set best-amount grain-ahead ]
- H( d/ J1 u# @% [. N8 N  set heading 2705 R" F2 J8 c  B+ J$ S1 @
  if (grain-ahead > best-amount)
) K) U+ v) l0 Y+ p    [ set best-direction 2706 I% E$ l% n9 ]1 u: @, }2 t
      set best-amount grain-ahead ]
7 V1 b: E2 O8 K7 O  set heading best-direction& v. y  c7 |, Z$ d" @& s
end
0 i% M0 \( o) L8 a3 q' _9 S; W0 K4 M# s% h" U5 g  ^( M
4 J, |( j. ?# }5 U# t
to-report grain-ahead  
/ \0 l7 C9 |& F. o2 y  let total 00 C& G. ~4 ~9 ^4 V% X& A6 `/ ~
  let how-far 1, N+ }7 N% @) P8 ]/ ^
  repeat vision. Q8 w0 u+ R$ J7 Z9 |/ S6 |
    [ set total total + [grain-here] of patch-ahead how-far; g$ k; e8 r+ D2 T/ M6 X
      set how-far how-far + 1 ]
: l4 f7 q) F2 G2 H1 Q  i  report total
0 k3 n% y. E, }  y( W5 w( k- }end
. U; j# F8 E2 R
) O/ T, u0 P5 u; g; }5 u5 ato grow-grain
! Y: A8 ~4 J+ R& z4 T% L0 S  if (grain-here < max-grain-here)% L$ `6 J* W; P; j( L
    [ set grain-here grain-here + num-grain-grown4 k7 n( y! X$ X; W5 w. N) M
      if (grain-here > max-grain-here)
2 ]$ k' T, q5 Y( h        [ set grain-here max-grain-here ]' U6 x1 O' r& g* ?7 e
      recolor-patch ]2 m7 ^7 R# j% s& w0 P3 [
end3 m8 D+ B$ i$ d* t/ i+ a- x
to harvest0 J8 _: K5 ]0 a. Q4 ?8 T; t
  ask turtles
: j1 ~% b  w2 z5 ^1 r9 ^    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]4 ~. O( Q$ D/ X
  ask turtles: u3 {. b# i6 \3 D: d% g# v
    [ set grain-here 0# }3 i1 J0 F$ _4 c6 H
      recolor-patch ]
2 ^  v5 q0 o1 T6 p+ e3 P& e7 `  # g+ g( x6 F5 D  t
end* V) t6 p7 P6 M7 _! ^
/ C: N2 H% j! _  ^% _8 ~$ D
to move-eat-age-die  ; z3 F, R: @1 L' {9 N
  fd 17 K9 B4 Y- y: {/ O) g' A
  set wealth (wealth - metabolism)
" m7 F9 t( }3 d    set age (age + 1)! \$ j! `  _0 v8 ^2 q' U9 f
  if (age >= life-expectancy)
! W' Y$ G4 r) q' a4 }* ?& W    [ set-initial-turtle-vars-age ]
8 L7 P$ r; h" u% ~" s" c4 I) L  if (wealth < 0)3 @2 n& N: }7 T. d- p6 i
    [ set-initial-turtle-vars-wealth ]% {5 p" F% T# H+ K6 M% F: p
   
" c! r" a4 O7 D7 mend
2 ?2 l9 k0 B0 J0 `7 I' G: k) E
; {6 ^# K9 `, a9 Z  n& d) Y% W- U3 T8 H: K) Q$ y( t
to setup-plots8 ^/ G0 ^& l4 ]- ~9 A1 H
  set-current-plot "Class Plot") V& b0 q+ ^6 ], [
  set-plot-y-range 0 num-people
1 s6 p; o& w4 s+ B( ?+ @  set-current-plot "Class Histogram"3 ~6 Q5 K* A3 B- y
  set-plot-y-range 0 num-people, O" M2 |" I4 G4 y# V  X, Z
end
* b! c; ~7 V. k9 ^- Q
7 i7 n0 s/ u* D4 `$ Tto update-plots
  S1 t# o( w- F7 c% k$ G  update-class-plot
  R8 s/ A$ ^! d/ c) k& p& Q1 `2 x* g  update-class-histogram( v1 N; s% a! {4 m
  update-lorenz-and-gini-plots
# O8 ]$ B. i9 I+ i% Gend
; k0 u( _9 @0 {/ R' b! o1 p& r* h' p  r& P) e! c" o# V: B
to update-class-plot
5 M5 L7 w. n6 E& m  set-current-plot "Class Plot"
0 `9 q/ ^& F) s' e  set-current-plot-pen "low"
9 C, U: n( k( i9 c7 Z  plot count turtles with [color = red]1 R; j1 v1 h) b; a# n( Q
  set-current-plot-pen "mid"7 g6 ?) q, r5 j# F* I5 `
  plot count turtles with [color = yellow]
, _) u0 o* R1 S6 a4 O" m  set-current-plot-pen "up"2 R9 r. T, M( r0 Z5 R# P
  plot count turtles with [color = green]/ E; u0 t$ Y5 v5 Z
end  H! B1 Q  `- T# A9 c' Q$ G1 `" y
$ |% r9 Z8 @& f0 \& S
to update-class-histogram1 r$ U5 L& K( W0 y% Y: [
  set-current-plot "Class Histogram"
5 ]8 m" z2 h8 G! j" f- }/ g$ V  plot-pen-reset( ]8 H# c0 j  i
  set-plot-pen-color red
3 L5 }8 K8 O( q* t  plot count turtles with [color = red]/ d8 A) x5 N: O8 x: L
  set-plot-pen-color yellow% u. j# m: U  G9 b+ Y9 U
  plot count turtles with [color = yellow]
  v$ r0 l$ A8 g7 B# N; N* r3 E; G  set-plot-pen-color green+ d! M, \2 D) ^+ L3 {' W
  plot count turtles with [color = green]
) W& W9 n" u$ A$ y2 f9 `end
& d% R9 O2 ?+ p" t4 \2 [to update-lorenz-and-gini-plots9 w; _$ T/ s, V+ |; |
  set-current-plot "Lorenz Curve"9 D4 n: ?6 t; h( t6 g
  clear-plot
; z9 F# W* T# w- h  [( ?+ w, K; w7 ?, n7 e' T4 r( g! g1 F
  set-current-plot-pen "equal"
4 g* ~8 R: P/ K9 j. l5 o; O  plot 03 }6 Y; i+ E- ?) e+ l: C
  plot 100
9 i8 B  M7 G- W. B& {- J4 J* T
% D' K  S. ~0 U6 O  set-current-plot-pen "lorenz"
! u+ z" p( {% v) S1 c  set-plot-pen-interval 100 / num-people9 |, u$ V' o: m: Z% W
  plot 07 Q* `2 ^" T* h  h3 t! M& x. r5 M, u$ s
7 k) F" I: ?9 _$ C: K' @: [/ p
  let sorted-wealths sort [wealth] of turtles* w' V; \% ?) V0 y
  let total-wealth sum sorted-wealths
( a' J$ x/ \; v  X5 D6 W  let wealth-sum-so-far 0
, ?; k: Q- O# c) h  let index 0
$ q1 S2 }& s; u+ B6 g  let gini-index-reserve 0
, D4 J7 J( Q: r& I
3 f2 i0 N. E7 ]) w4 Z8 Y  repeat num-people [: `2 q2 p/ L. u0 x; m; x  O- Y: P
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)" u7 o9 R* \/ b( [" q. ?
    plot (wealth-sum-so-far / total-wealth) * 100' H- u6 P: w, @$ ?- ?9 @# I& e
    set index (index + 1)& h4 O. V8 A' G( ~0 ^1 V5 f1 L4 S
    set gini-index-reserve
( a- c# m, b0 x3 d5 a      gini-index-reserve +
7 s% X; }1 i! T) p      (index / num-people) -" @3 C! V0 b/ J/ _
      (wealth-sum-so-far / total-wealth)1 F( b' K, }4 _# A* Z
  ]
7 }$ h/ _. Z3 J, K
; z2 }5 e9 K0 [( B  set-current-plot "Gini-Index v. Time"# l' ?. ^. \2 o; b! Z! _# I: ^
  plot (gini-index-reserve / num-people) / area-of-equality-triangle; `1 a, S/ ?& L& N' F6 o& U, I
end0 S, @! ?4 b  T, j3 B8 j, H, W
to-report area-of-equality-triangle! s* c! z1 {* ?
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
  e* g7 b% P+ {2 lend
 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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