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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; d, A. E/ d. K/ }) \; Y/ G" B7 @. z
globals- g# W3 e2 q( O' }3 P
[
- I$ d+ m+ ~8 i8 P6 R& P  H% u  max-grain   
0 v7 e) Q! J: \( @4 d- U; d
1 l; k! x7 w3 x3 N]; Q$ p8 a$ U3 X7 o
* r& z( Z* o0 ^
patches-own
5 n; h4 S% a  [7 a2 d[
! M% Q( P+ p: ^+ g  grain-here      
' Z) X- I# G# E7 R* `  max-grain-here  , E% Z, m% y9 Z7 c
], q- y/ V3 O& K9 @
' n7 q0 R; }/ q  L+ R$ e! U
turtles-own! R, |- r( h1 {* O6 W5 i8 d' X
[8 j* N+ O( W, k' z4 p% {
  age              % ^% t* R8 f5 t! [+ A
  wealth         : ~1 e9 b8 U! f: V
  life-expectancy  & G' _& L4 }/ L) Q
  metabolism      
, Y6 \! O' m( S, n  vision; `" x5 i4 G/ _
  inherited         3 _8 \! g. G1 [
]4 v$ K7 Y& y& K. b$ @* C( Q
4 _: G) l9 N  j; U; A

1 s$ C9 v& e9 e# Yto setup
7 H6 }9 q5 I! z. }' o' R# B  ca& V. O5 ?7 O, x4 F( a. x
  set max-grain 50# `( w$ V% t3 v! X4 X7 I
  setup-patches/ |$ A! b, ?* i$ I: y1 U
  setup-turtles" ], Z% X+ [. G$ e( [
  setup-plots3 G# {/ d4 h/ |+ s, R! A
  update-plots
2 P: T! o: _; U1 ~8 f" e2 Yend
: ?1 u5 c/ W4 Q- ^1 Tto setup-patches
8 I1 S. u; p, A- c; [# G1 ?  ask patches
0 l: B. r8 i" q/ v$ E' l    [ set max-grain-here 0  F6 i. U) g( V! O) ?
      if (random-float 100.0) <= percent-best-land1 J$ x/ a3 Q4 e. h0 `' y
        [ set max-grain-here max-grain
+ w5 h3 a2 {6 d2 |& u) E          set grain-here max-grain-here ] ]# e9 P! g6 V* E' Y3 W# |
  repeat 5
1 J3 z6 M1 k) c: s2 k    [ ask patches with [max-grain-here != 0]
/ t& V5 `% }5 m! I        [ set grain-here max-grain-here ]4 j! {- D- a0 f3 b
      diffuse grain-here 0.5 ]
+ B9 q3 z) w" `  repeat 10
0 D0 N/ s0 z2 T6 N2 D+ D: S' }1 J    [ diffuse grain-here 0.5]         
) r$ I  |. [$ m$ _4 w  ask patches
5 l0 l* [3 ~9 O, ]5 r' ^    [ set grain-here floor grain-here   
9 `: f7 h( j+ E0 Y2 G; C+ F5 ]      set max-grain-here grain-here      
% Q8 L8 d! Q8 B4 x      recolor-patch ]& T* y& M% H2 C2 ?5 R
end
$ ^+ b2 a2 P' s9 @0 U, Jto recolor-patch  * W4 R+ U" V$ R; T
  set pcolor scale-color sky grain-here 0 max-grain( d) w0 Z* ~, {5 s0 W
end- A! ^3 F; G0 U* Z; z
to setup-turtles0 G' S% ^/ h0 Y, E
  set-default-shape turtles "person"* [: d7 B2 Y# m/ H% W  L$ C
  crt num-people- R8 J( \1 h, S- I- c
    [ move-to one-of patches  7 [1 B! a5 P: ]: y5 E' P/ R
      set size 1.5  
8 S) W3 [) s  [' j2 S! L      set-initial-turtle-vars-age1 r7 h& U) G3 z* m3 B) y9 q
      set-initial-turtle-vars-wealth
% j& R7 C/ I6 M4 P      set age random life-expectancy ]
' d6 @  L3 `- b4 {  recolor-turtles
4 ?0 F% ?$ _: k+ K( fend
( a* s5 _- y* o6 ~  M& ~0 @. N; k2 ~) j& u2 a7 o$ G# a$ A
to set-initial-turtle-vars-age
7 a$ y2 ?5 z' r* E6 A  J let max-wealth max [wealth] of turtles7 r" a9 S. t7 t& y6 F
   
: ^0 B0 r: A( @     ifelse (wealth <= max-wealth / 3)0 c, k5 M% W- J3 _. o' H
        [ set color red
0 @1 z) A* O, g+ ~5 h# v          set age 07 {; T4 I% x8 P/ Z/ ~6 D3 f  `
          face one-of neighbors4 2 s4 X. a5 B1 C. c4 P. O
          set life-expectancy life-expectancy-min +
8 V- ?) M6 }2 l- u% {                        random life-expectancy-max 2 d/ \, \9 ^* M# n7 W
          set metabolism random 1 + metabolism-low$ t' |& I) {+ m, F& B
          set wealth metabolism + random 30
5 o/ i0 |; s# p: b; m$ Z          set vision 1 + random max-vision8 ]8 T" p! P  O' w
             set wealth  wealth +  Wealth-inherited-low ]
  ~; D) S$ H7 l! b        [ ifelse (wealth <= (max-wealth * 2 / 3))
9 |' x4 u3 S7 O, _8 R9 L            [ set color yellow
$ T" j/ J! C0 U/ A              set age 0
" E' W$ @8 R; M" C" s" c. p) @              face one-of neighbors4
0 \/ T6 J: s4 W+ o5 j6 z              set life-expectancy life-expectancy-min +
% v) [0 `  K8 d                        random life-expectancy-max + 10 z7 k; t' d5 s
              set metabolism  1 + random metabolism-mid1 S# w: t" \1 ?
              set wealth metabolism + random 30; S& j* o6 V2 d2 z1 Y
              set vision 3 + random max-vision
) e  U$ x. r) r1 g% t                set wealth  wealth + Wealth-inherited-mid]
# v/ N  C9 U+ j* ~8 `) X" j            [ set color green
/ W( F& k3 Q2 w6 n% h5 r              set age 0
1 V1 b2 k1 Q# S0 O6 Z8 ~4 ?              face one-of neighbors4
' }7 Z) b' F( p% y              set life-expectancy life-expectancy-min +
; E1 ~" p6 w9 q8 M                        random life-expectancy-max  + 2
8 G9 W" o+ \6 G  C              set metabolism 2 + random metabolism-up! p! U5 I4 e8 H7 ~0 P$ U) O
              set wealth metabolism + random 309 X: A/ h, m- x& ?% K2 h$ M& w: _
              set vision 3 + random max-vision
" `+ r0 V' u3 t2 f0 m  T! @              set wealth  wealth + Wealth-inherited-up ] ]
6 u5 r) C) b; D; G+ D3 s9 }
6 A) T1 {7 g5 A, kend, D8 w) {0 H% G
to set-initial-turtle-vars-wealth1 X3 j0 t' V1 m0 O
let max-wealth max [wealth] of turtles
8 q! ?/ a. H% K3 I# }8 ]' s. c          set age 0, k0 \+ a8 Z# ]0 O) }* X
          face one-of neighbors4
# x& Y$ q, n: b$ m          set life-expectancy life-expectancy-min +5 l- C# V, Q6 P# Q
                        random life-expectancy-max / ~/ Z$ @  D5 i1 C1 v% [3 ^6 u; O
          set metabolism 1 + random metabolism-up9 n1 r. \6 i" q
          set wealth metabolism + random 30+ `& a; {$ ^4 c# O- t
          set vision 1 + random max-vision ! H  y# Z7 t. o0 _( P4 Q1 \: c
end
# n9 o$ ~. M7 I& yto redistribution) }! L  W  X! G/ l3 ^6 e
let max-wealth max [wealth] of turtles
) _; H/ n5 s! [$ }; ulet min-wealth min [wealth] of turtles
8 o9 B1 Q3 P6 }4 F; b5 {if (wealth <= max-wealth / 3)
$ y# ]0 S* b) Z, N* h [set wealth  wealth + Low-income-protection ]
6 F# i  c( F% K/ A) a& `+ ]end
* F9 u# W2 R( `5 ~         
! e+ t  g& j4 N+ g' {  m; pto recolor-turtles
. S7 G, `7 A% s) O7 t7 j- o6 U  let max-wealth max [wealth] of turtles
. u5 ^) c; G( V+ j$ T$ v0 _- W, D  ask turtles  L- P0 i2 D, U, V
   [ ifelse (wealth <= max-wealth / 3)
" ^" ~. S  V* b$ M" `        [ set color red ]
' v1 M( n9 g: q3 F, l( _1 I        [ ifelse (wealth <= (max-wealth * 2 / 3))' U3 S( L4 N2 S  G1 h$ O8 m& @0 H
            [ set color yellow ]3 g5 p/ z. t7 e8 B. C! \
            [ set color green ] ] ]
: w2 P  y6 c; X0 N: ? ask turtles [ifelse show-wealth?  l' Z6 Z4 K2 t1 v2 a
    [ set label wealth ]7 A5 o0 ^2 g  L1 v  J# A" @, F* P
    [ set label "" ]]
3 ~, M$ h( D: lend
0 h" r/ C4 E9 P. `! s+ Q  J, z% B8 F+ H
to go
' q# ?  b1 A$ M( A4 _* y  ask turtles9 S; r9 m1 G" S1 p" P
    [ turn-towards-grain ]  * t: g! g0 I! c  g: S3 O+ t
  harvest: \( x' B& }* `+ o9 w4 z
  ask turtles
1 f. n( e; t( D) c    [ move-eat-age-die ]5 S) C; r6 s. a( x" o
  recolor-turtles
* B# @8 I' A/ J8 Q4 W  if ticks mod grain-growth-interval = 0
* Z& {7 o: v! }, E% a    [ ask patches [ grow-grain ] ]
' [& i6 a' T0 B% ^2 ]. o   * ^' d1 O& _" F, \3 j+ J+ [
  if ticks mod 11 = 0
2 f! x* y% T" l& L1 u8 Q' r! ?  [ask turtles7 `5 e; v& C0 k% Z, V; u
  [ redistribution ]]  V" e+ H3 X. x! P
  if ticks mod 5 = 0& J- N: J" k  w" g. J
   [ask turtles
4 l3 e; m" ?8 e9 y( q  [ visions ]]* y, @4 [( A4 W( z( N  w+ X
  tick! @0 I/ g" t. z6 o1 v1 t# Y
  update-plots* o. L8 J6 |4 Y$ d+ [5 x* o
end9 O" ?6 {! q( `; y( P. x( x
to visions
9 k0 E4 A8 _9 r. m5 V" @ set vision vision + 1 4 [( Y" e, O0 ^2 b# x
end1 n2 e& S& c8 L* Q4 [- T4 j1 ]5 d

; ]/ W) U8 M. _2 V! ^! @" L$ E+ z2 l' |. A0 J; c! p! {( `' F8 G
* _4 X7 S. {3 y; Y7 v0 _
to turn-towards-grain  
, H% F; d$ U7 l- E$ @' f4 o4 m. h  set heading 0
5 a, J1 ?# `$ M) M% a/ C  let best-direction 0
, [% S* N  o  m  let best-amount grain-ahead
" q2 \; i3 m  _7 l0 ^: e8 f- i  set heading 90
# W, E1 ]! ^% L4 K  if (grain-ahead > best-amount)% z2 k* W) f5 Y* B( a
    [ set best-direction 90- b7 T( P8 \& r6 J2 X, Z
      set best-amount grain-ahead ]
$ T8 o$ r. W  ?' h6 G* O  set heading 180
/ B& G2 m* `% l. A  if (grain-ahead > best-amount)
( r; U% Z* a" l. c    [ set best-direction 180- h6 R9 a* y0 a- Z) P
      set best-amount grain-ahead ]
+ s! A) t" w8 ~+ N( i1 H7 A  set heading 2706 J/ f% \* F& L. D
  if (grain-ahead > best-amount)
( Z( A& b* c; u3 `) I) M    [ set best-direction 270
$ I0 d' C8 v- i: a* e      set best-amount grain-ahead ]6 e9 r, a9 U. n/ x" f. K3 Y3 K+ [0 P
  set heading best-direction
" W* T1 \  ~8 Y; a$ \end7 Y+ E8 V6 K0 Y& x* ?

. X) S+ \( W  y8 A$ D- P
" j# h" S4 o3 E) f# qto-report grain-ahead    }) F% i+ t% M1 G
  let total 0
. h& R! M+ d% c7 @3 Z3 v9 @5 {+ n2 D  let how-far 1/ u6 F" `2 d5 v. `
  repeat vision) t7 |8 G( M. q3 S6 e  V
    [ set total total + [grain-here] of patch-ahead how-far& i. \4 i, Z/ d/ |0 y
      set how-far how-far + 1 ]  |! o: |3 Z# A* f% }
  report total
+ @9 n4 H+ m; vend
5 `& M; e, b- Z- J, n  i, T1 h! S' A7 s/ b9 E: s  h) m
to grow-grain 8 H# ^( B, s0 {0 a/ J' ~' ~
  if (grain-here < max-grain-here)# c& s/ R! R; N4 ]) ]7 j& x7 X+ s
    [ set grain-here grain-here + num-grain-grown
( \4 Y8 R! p4 K  G( c9 J' F. g! [# ^      if (grain-here > max-grain-here) 9 B$ X) e. m! r+ s9 _0 H
        [ set grain-here max-grain-here ]6 S( r: K8 a: B2 b" t
      recolor-patch ]
# Y3 _8 w. D' Nend5 V, H6 Z2 j( V! b, j/ {
to harvest
4 W/ U8 Y0 ]9 L% _" T/ \  ask turtles  |9 o1 Y) K1 ~" a8 \
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
( }& z$ s. i$ j9 R; t4 e% A  ask turtles
7 Y$ |. t4 A; ^" K4 e4 T( U. n    [ set grain-here 0
- a- u2 t5 a7 T( v" m1 a, j      recolor-patch ]
) y6 H, S/ e5 u6 Y8 z  
! x, r& u2 M7 F7 X6 H& s4 r8 Send
" \9 ]: O/ o1 B: D/ A$ m( L; j. C! r8 {
to move-eat-age-die  
! W3 r9 x5 R% X9 F9 ?  fd 1
! ?9 O8 E; N& Z* `1 y  set wealth (wealth - metabolism)1 F) L( ?7 c* n9 Y5 N4 N
    set age (age + 1): V, P* u' b1 k8 j; f+ d- m
  if (age >= life-expectancy)6 ^" q3 B6 T, T
    [ set-initial-turtle-vars-age ]1 F* y$ B' J+ j. P7 s% |1 v( o
  if (wealth < 0)
  |; B  _  q6 l; S* R$ K    [ set-initial-turtle-vars-wealth ]
6 }5 [# y6 b) H: r    9 L  q: S. E8 h
end
) [# `$ d* v6 G+ f  w- M" o; ]/ \2 u  r7 @/ ?  _( p/ U8 m
+ v& n( O1 u1 S& z
to setup-plots
$ t4 E/ f/ Q$ ?! \7 ?  set-current-plot "Class Plot"
3 k5 c; N4 }  u9 f" A" Z, W  set-plot-y-range 0 num-people
! K6 K5 P/ C/ R  set-current-plot "Class Histogram"3 I* X/ n- K6 x/ F
  set-plot-y-range 0 num-people
; L9 p9 K5 f, ?. _- }6 O3 @end
5 m5 N3 z; ^. d! W
. k( N5 ^, a# A- Uto update-plots7 L/ b0 l! U  R" t% U! i: I! @
  update-class-plot
& t+ X' N0 |( [2 ?6 Q; n1 v  update-class-histogram  }6 q5 P8 f; q% X
  update-lorenz-and-gini-plots4 x, ~: q0 f; {4 D7 t0 q! Q
end
. C- c8 n  @! ~1 X3 N2 z  v: l8 D. v4 P: y+ ^9 I
to update-class-plot" ^$ O4 z3 Z8 ^) B/ Y" i' C( @
  set-current-plot "Class Plot"
) R+ x2 }2 W; \: T9 I  set-current-plot-pen "low"0 d5 u! J" D3 u
  plot count turtles with [color = red]2 w7 C$ t) G' D$ ~
  set-current-plot-pen "mid"5 d+ x1 [  a7 n# A! ~3 _4 t
  plot count turtles with [color = yellow]
5 V# x7 o1 _1 w$ p4 G) A9 q  set-current-plot-pen "up"# s: T6 D$ ^8 [! t
  plot count turtles with [color = green], F" u* F; B$ [& V4 J
end( i8 ]: g6 x# f7 E; }5 Y

; u! u) {# B' j* F" w; Hto update-class-histogram
' ?7 y; \8 K2 I7 t  set-current-plot "Class Histogram"- L, Q) Y' R5 ?' G
  plot-pen-reset5 I8 V  A! o& P) w- ~
  set-plot-pen-color red
! i1 Y7 y$ v% L$ y6 e7 ?3 F( S& j/ E, k  plot count turtles with [color = red]1 P  t. d9 p  y: {
  set-plot-pen-color yellow
% f6 n( m. Z* s% B- g  plot count turtles with [color = yellow]
8 O3 t: O( N  g, u3 C+ |6 q. j  set-plot-pen-color green
2 ?/ f. {. H' c) `% l0 D  plot count turtles with [color = green]
: |* O/ t# [4 o$ qend$ h- W  f: W0 O% @! g
to update-lorenz-and-gini-plots# D* T! o: Y* I
  set-current-plot "Lorenz Curve"
+ l0 |+ d/ p+ s* H+ \( o* {, ], T/ x  clear-plot
5 V6 d* B4 C4 P/ i! O; O0 l! G, N' g/ N" H2 B2 U3 p( d
  set-current-plot-pen "equal"0 k, Y% v) R: b$ q0 S! b  P
  plot 05 @% {' c, ~7 a
  plot 100
" I' U% p0 o: r0 s1 Z8 w. q2 ^. L0 h: d* t6 `) s5 b4 m0 D
  set-current-plot-pen "lorenz"
) {+ k. l; K6 X6 s2 T  set-plot-pen-interval 100 / num-people
2 z6 v; A7 |  n3 O) K  plot 0
+ s7 w. X+ |/ R1 O. s, J# M* @- z* U* B5 r. m+ i) I5 @, U/ f! ]
  let sorted-wealths sort [wealth] of turtles
& f$ X9 v" l5 V% w. Z, x$ L1 e. `  let total-wealth sum sorted-wealths! M. j( Y( U' ~
  let wealth-sum-so-far 0& D. R& E8 B$ Y# z, O* {1 U
  let index 0# `3 ~3 o9 d: ?# R6 \+ ~3 p
  let gini-index-reserve 0
9 j# {7 t$ }" T' r
  G: g- N0 w! W& @# k! F  repeat num-people [0 O- v6 W5 R5 r% u
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
4 h# G# M6 v' Y) [" f# r4 v' I    plot (wealth-sum-so-far / total-wealth) * 1008 L% z1 n! z, c4 `5 w' K6 Y
    set index (index + 1)* W* {8 D% |) F
    set gini-index-reserve9 n: x2 Q- F- m& R3 z- a- t
      gini-index-reserve +3 }$ i; Z( K. l# t% l
      (index / num-people) -1 O" R/ E& P! H7 ~- m, F  i% U2 Y
      (wealth-sum-so-far / total-wealth)
1 N$ Z- M5 m  a' `  ]6 A. m& a0 H" L8 G1 `* D6 F
( M# u$ R* D# d* ?' ]- v) d4 B& @
  set-current-plot "Gini-Index v. Time"
2 E2 J0 F9 \1 x5 [+ u' `  plot (gini-index-reserve / num-people) / area-of-equality-triangle
2 L1 r$ T# |% \1 Kend, ]3 J: m5 E) f5 `+ T
to-report area-of-equality-triangle
* E0 X& S; M! `/ T. M  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)4 J3 _0 O9 Z- q& Y/ e
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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