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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( v; i! U4 [  Z- F& ~- p
globals
7 \6 D/ D0 h' c2 W, I; ~! U2 `; e[
9 H+ D# ]! H5 Q' A4 V+ {  max-grain    5 m2 o5 J( k6 M+ [2 i

# @, d9 E/ u: m2 P]* A( Z0 f/ p+ u, m9 Y8 D
: l/ c, a& q8 r( B& \+ m5 J0 m% W
patches-own
% r2 _6 g! b6 c! q7 G[" Q# g9 e" w. i# j) b) d, |- M
  grain-here      
) U0 a) E8 ~9 D+ [4 Q8 r! b  max-grain-here  , l5 e/ E7 ?! F: i; E
]5 _  q+ M& h" H' n6 l# r* s

# T0 N1 I. a% C* @turtles-own7 C; v2 r2 H+ C9 {1 P9 c
[
7 g( D( f/ i. |; ~% e! [  age              4 U4 m. i/ V) ^" x0 P
  wealth         $ I/ p" V5 W/ N2 _4 g
  life-expectancy  
. N' I# C; H$ u  metabolism       ( B9 f9 F7 P7 @) \
  vision
2 O9 Q/ X' I- p" M  inherited         
0 f7 V, d# U4 |, Z' Q& y5 t4 G]$ b0 E: }* ?) E: w7 k

% p% C7 B7 Z5 L7 G9 D" J  H
9 U3 n* j2 i$ I; |to setup( Y+ p$ @2 T$ q& |
  ca
( ~' L& B% X1 {7 s  set max-grain 50
' K" E- i3 k9 z; H; j  setup-patches. w# y6 l7 Y; d6 \; ~3 A9 p9 S, ~
  setup-turtles* V( U2 K/ y- v. @: [
  setup-plots, `+ o( H/ s, B" |( I( o; w
  update-plots8 h3 E' M0 r$ ?3 q1 G; p
end
8 A8 E. E# j2 `' W' A- D) v  {( {9 `to setup-patches* S+ O! W) _1 z% _3 ~3 j  k, Y
  ask patches0 l: W! L  P% i' W0 n" I0 U' L
    [ set max-grain-here 01 K3 V  i1 I% T2 I' |/ ~
      if (random-float 100.0) <= percent-best-land
& K: \6 O, ^; d$ B4 F% ^        [ set max-grain-here max-grain
2 }: I( t* Q4 P          set grain-here max-grain-here ] ]: X% e. Z6 G' Y
  repeat 5  T6 w+ h6 R$ l$ m
    [ ask patches with [max-grain-here != 0]4 i# h0 P8 ~, z& b2 P
        [ set grain-here max-grain-here ]
  e4 X; _/ ?  C1 u. I      diffuse grain-here 0.5 ]1 j5 e$ s* l* g
  repeat 10
0 B) {6 }" X5 X' Q( F! V& l+ {    [ diffuse grain-here 0.5]         
4 |" B& _% g/ [" k0 v! h  ask patches, [/ o4 o: A- x, H6 G
    [ set grain-here floor grain-here   
% w( d; g# W! {" }  [3 n      set max-grain-here grain-here      9 {  _3 o8 C9 C9 D; A1 t* A# v% `
      recolor-patch ]
0 m5 p( h5 I2 D. x& e" Uend
& A: o) `. j. a# L/ {7 y4 Ito recolor-patch  
  o. e1 B) V. z6 k/ k, `0 D  set pcolor scale-color sky grain-here 0 max-grain1 i( [, x4 d! I. z
end
9 ^" g4 L4 t# z) Z  L: wto setup-turtles/ y  t. w3 W: }8 p
  set-default-shape turtles "person"
8 N% @; ]  `- ]  crt num-people
% L) c6 \3 {2 c* S% X$ M    [ move-to one-of patches  2 j7 z; k! q0 Y# a, F0 B
      set size 1.5  
" w- B  a# |$ }- `1 J5 ]# E( g) N      set-initial-turtle-vars-age
- G4 K% R5 E+ t3 y/ r$ Z      set-initial-turtle-vars-wealth2 k" E- t, e: G. \/ j
      set age random life-expectancy ], ^4 r% a$ h9 K8 B
  recolor-turtles
" r2 v+ ~8 w) |* w5 _5 ^end4 m4 h% ?: J2 P. o1 E0 M, n. T' `

% v4 j& n' w6 c' x' A" ^to set-initial-turtle-vars-age0 v2 C9 O: i4 l! J
let max-wealth max [wealth] of turtles( w$ H: {  ]5 z1 i( D; z# u7 }" M
   
( i" L5 r& p* u/ B" O( w4 C4 j     ifelse (wealth <= max-wealth / 3)) j7 U4 [; W7 [  C6 v, S: m
        [ set color red
& V# v/ Y5 h- s( B- S          set age 05 ~; Q$ {9 h$ Q
          face one-of neighbors4
, \$ i  P, s0 Y& p. v          set life-expectancy life-expectancy-min +/ H! D5 B& O1 R  P: l
                        random life-expectancy-max ' v2 T! l3 S: ?0 X" N
          set metabolism random 1 + metabolism-low, @! X% J0 h# \; {# p
          set wealth metabolism + random 30) i6 c. E+ b# t7 @4 a% o
          set vision 1 + random max-vision2 ^  `" Z" Y$ t1 ]/ y0 e+ G
             set wealth  wealth +  Wealth-inherited-low ]
( R& l" z, P9 \4 y& ?        [ ifelse (wealth <= (max-wealth * 2 / 3))
# a8 B3 ]/ Y8 B" Y( U            [ set color yellow
' L7 \' z$ U9 N, t0 @' x1 q/ O* W              set age 07 g1 ~3 b  Y1 [0 r: c4 ?2 f, }
              face one-of neighbors4
% c9 A: u7 z  g1 I" w4 p              set life-expectancy life-expectancy-min +( m, C( I- P6 f8 I
                        random life-expectancy-max + 1, ~) }  {+ A# V' o0 U7 l& P
              set metabolism  1 + random metabolism-mid4 ^- j1 y& ~9 W4 @! @9 q
              set wealth metabolism + random 30
9 D. v8 A' ~! H              set vision 3 + random max-vision
+ f; y4 @+ U1 m1 Y+ V0 k                set wealth  wealth + Wealth-inherited-mid]
6 j; M( _1 n0 V+ [) S5 I2 c% T            [ set color green
/ z$ y" r3 e2 C8 M6 Q- O8 s              set age 07 k: B9 x' l7 y) u0 r
              face one-of neighbors4 / Q- e5 I6 h. y; M1 z/ [
              set life-expectancy life-expectancy-min +7 a: u, q  |2 p: O
                        random life-expectancy-max  + 2
" e/ C: O2 ]4 {7 S# M. e2 i              set metabolism 2 + random metabolism-up6 F. ]; J5 Q" h. Z" |3 h
              set wealth metabolism + random 30
0 ~3 _6 S+ P6 m+ }4 o) x              set vision 3 + random max-vision$ G  `, ~. r( _  B8 p+ F" W# a
              set wealth  wealth + Wealth-inherited-up ] ]
6 e+ F; k8 Z, S1 Z : ]4 {1 s% _4 [, v
end
, U& [+ I+ H3 U9 H8 D* hto set-initial-turtle-vars-wealth
* ^0 ?/ D0 Y+ W9 H# b let max-wealth max [wealth] of turtles# O2 m2 u% O9 G$ o# a; z4 G2 F
          set age 08 T+ |/ e0 y* {3 o
          face one-of neighbors4 3 M. l6 n+ A# O$ ^, |( I
          set life-expectancy life-expectancy-min +0 J. ~7 E$ n3 T9 g6 R3 ]! U
                        random life-expectancy-max 1 t. \/ o0 |! e
          set metabolism 1 + random metabolism-up
" L1 @/ t1 Q' y( ~4 `$ j          set wealth metabolism + random 300 B/ M4 e* _1 o
          set vision 1 + random max-vision
1 U; M/ I4 o* v1 M6 U$ L0 M( B# E- pend: {8 e/ V0 O  R/ C
to redistribution
2 ?% A: }8 Z8 z+ R6 m: h) ulet max-wealth max [wealth] of turtles' U2 H+ m, C' x% o
let min-wealth min [wealth] of turtles! e, ^( V! z5 Q4 A) y
if (wealth <= max-wealth / 3)+ N6 l# ], `" [. F
[set wealth  wealth + Low-income-protection ]+ _+ m$ M( z; }# z( c
end' r& d; |- L6 d% p
         
8 c2 _1 z- k1 xto recolor-turtles
/ l2 Q- w9 g+ d  let max-wealth max [wealth] of turtles
8 U" L9 j  A( M6 z. s- w3 b  ask turtles6 G% M- Z7 Y: o9 i
   [ ifelse (wealth <= max-wealth / 3)! _0 l3 i: C8 F; _* c
        [ set color red ]
- n/ U/ S; x- m/ N3 F        [ ifelse (wealth <= (max-wealth * 2 / 3))" e. P/ p2 O. T1 `$ P  m
            [ set color yellow ]
) E. t7 P. {2 H# {+ `. p            [ set color green ] ] ]
9 _3 L& ~* z/ D. M5 v8 W, \. m ask turtles [ifelse show-wealth?9 z* F8 b1 U0 c: i, P4 I
    [ set label wealth ]
7 O# h& [7 K. B1 M' z# y; ]    [ set label "" ]]3 A+ O2 D' ]7 ~+ z0 D# T; n
end2 g3 q( ?/ m5 V7 ]

4 f: O" X! \3 d- m) ]5 o' x3 yto go
; z" G0 b+ C  h3 V  ask turtles' @, q0 j3 ?1 C7 V: B6 z
    [ turn-towards-grain ]  * s' S( M  ^. a' Y* j
  harvest. _' a. w* @0 B& k& D" k- O
  ask turtles' b3 W2 M& P! J1 G: W- o
    [ move-eat-age-die ]# N$ c# w) h0 S" ]2 p! Z
  recolor-turtles
' x# \' A. ]3 A6 p  if ticks mod grain-growth-interval = 0
! h$ Q5 B3 f3 z4 o    [ ask patches [ grow-grain ] ]
7 F4 j# a1 b8 `5 C8 g% l   7 v- p( h& U* I0 f0 F+ e0 f3 O7 @
  if ticks mod 11 = 0
" R# h1 H" V" {0 z" a7 P  [ask turtles# S; `+ @2 Q" [+ x1 M  l
  [ redistribution ]]
' e( g: _# e  a  if ticks mod 5 = 0. q( R, _/ ^& ^  }6 g8 e
   [ask turtles) q8 c# l/ J; l- q" ~8 X
  [ visions ]]
7 w  v  z+ j) N; F* d  tick
# H- s/ Z3 Z- S  {/ Z/ K1 W  update-plots
0 {9 p# i1 l$ _, n0 ^% R" j; Z% Send% X4 Y5 W. d; p) t; q& H& V8 m  B; D
to visions0 w' A8 ~; I5 g2 {& S
set vision vision + 1
: C1 Q. f" h# a2 O1 ~end
6 C6 {4 h- Z* V9 p9 S9 }- {: ^% ?& n

, c( H3 Y( w7 P7 E
' w8 V. K, h4 [( _1 @- Mto turn-towards-grain  " L+ i2 j5 V$ M" H! x
  set heading 0& R% Y8 Y2 }0 r% s) z5 R; r5 V& ~
  let best-direction 0
$ H, K0 G5 B/ c* n2 K! u. m: t  let best-amount grain-ahead
/ c- Q" V4 z# f# |* C2 s" K" r  set heading 90
; K* ^# t. {2 k1 B* N* L) s  if (grain-ahead > best-amount)1 P- l) ~# E. ]1 p( n" o! m! y
    [ set best-direction 90, }  W7 g* S3 l' A5 o
      set best-amount grain-ahead ]
, r2 C3 m) K% ^4 P1 ^& W* Y3 t# m' O  set heading 1806 g' A* L5 w1 P: a; e
  if (grain-ahead > best-amount)5 |4 P6 g' `3 _5 ~$ p! r
    [ set best-direction 180
2 l- m% F3 C$ k3 H' k      set best-amount grain-ahead ]  O. R9 f+ P' g3 a1 ]
  set heading 270
$ l+ ], s5 h* q' r0 L' T  if (grain-ahead > best-amount)
/ ], k$ B& _9 k5 d! T2 p- t    [ set best-direction 270
2 l/ ^$ |+ h5 v* o      set best-amount grain-ahead ]
# n: h  T. Y" C8 [" y  set heading best-direction
4 a  K2 u, G) e! A( e4 \4 Vend/ V' n. j& @( n; ^# n

6 k, s0 j$ n) Z6 J; i; l5 C8 z+ ?
1 X' d: p& y# q: d3 g; @to-report grain-ahead  # y/ n/ Z/ L% K7 ?0 w
  let total 0
: s* Z, _% y4 y  let how-far 1( P( G) d% ^/ x1 o* ?# m8 a
  repeat vision# h! T4 M& N# h& n1 A
    [ set total total + [grain-here] of patch-ahead how-far
, f. P  a% {2 S5 y1 s: ~( Z      set how-far how-far + 1 ]
% M. a- j0 Q# q! T- d  report total
0 w5 ?: N+ _# q% n( Wend
4 g; S9 Y& |' B: k
$ H, ^- O9 Y: H. e$ x- j8 [to grow-grain
' T, ~% L: b/ s" f6 `  if (grain-here < max-grain-here)
/ S( Y$ i# P; p5 e7 E8 N) K    [ set grain-here grain-here + num-grain-grown
; V% x7 \- h6 _4 m2 v3 H2 f; J" j& a      if (grain-here > max-grain-here)
: L0 G* O5 H7 V8 f        [ set grain-here max-grain-here ]- J" A0 b$ J$ O) ?6 Y7 p1 s* J
      recolor-patch ]6 a* s5 v! W9 p3 y
end8 `, I  T7 W  I9 f$ I+ Z
to harvest' p! o9 b+ U6 S0 D
  ask turtles
: \9 ]* k2 ]" V& {0 D: Y    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
  t/ X* Q8 o9 {; K0 q. L2 b  ask turtles
9 l  D9 N5 Y7 l; y    [ set grain-here 0! U6 Z5 s* e8 d
      recolor-patch ]
( C9 d0 d1 X1 m% p8 E8 t; V0 j4 g  
$ |5 `4 ]$ [4 u/ \5 ^6 _& Pend4 V7 Y& d; Q+ z) s! r% ]* T( [

; N1 @: X% y  M: A4 H7 ^4 j/ w* yto move-eat-age-die  
; C  F( m- k+ Q* G! \3 }  fd 1* @( C5 }" @, r
  set wealth (wealth - metabolism)* _9 ^! w; b/ G# m  M6 h2 p3 Q
    set age (age + 1)
- b8 O6 V2 c8 K- q9 ~5 y8 z  if (age >= life-expectancy)6 _$ j+ u# R3 H" I9 N, u7 @$ e# U
    [ set-initial-turtle-vars-age ]3 [5 M! b1 k5 X1 @
  if (wealth < 0)
9 V% l* F5 u6 M. L    [ set-initial-turtle-vars-wealth ]
+ ?1 Q, B, @, O0 x6 Q: r    % ]9 l" p( a& Q; _" G1 u
end
3 R* v! f/ U* _, J" F* A$ M
; S4 }. R: z! {& @) h& s: b, m' z( e6 X; y" z
to setup-plots
) K3 u( v, [: l2 o8 E8 L  set-current-plot "Class Plot"# ^7 d; R+ T9 D9 T1 d5 D
  set-plot-y-range 0 num-people
  Z% z# u9 a/ [9 J9 r; V  set-current-plot "Class Histogram"+ l- l8 @1 X- }' G: R" h
  set-plot-y-range 0 num-people
5 ~6 y* u% q( q3 j& d' W4 oend' M- U- Z8 i2 @7 g  `% ]: h
5 L1 C8 \6 Q4 r. P8 X
to update-plots
5 W) }  h1 v5 {# {& I0 r& v  O9 v# K  update-class-plot
8 ~0 j+ s2 ?% T  update-class-histogram
, _" D% z4 H3 I1 n3 z  update-lorenz-and-gini-plots
% k  f, F" S, e5 R1 J8 b5 n# Q" Vend) N- U( u7 ^' R, t* y" r. t
& M  r* Y$ C' N5 g. n8 A
to update-class-plot
+ z; q; D; o7 s- h% w& [3 ?7 q  set-current-plot "Class Plot"" W! A, C! ^; H
  set-current-plot-pen "low"6 X3 D0 H5 }* f$ r; U: B* h
  plot count turtles with [color = red]0 t; F: A7 j' \
  set-current-plot-pen "mid"
* G* x/ j, |( i& O, b4 Z  plot count turtles with [color = yellow]) x# b" w8 J/ q( s2 H% X: P* o0 I
  set-current-plot-pen "up"
+ g+ |4 T; D% O$ e  plot count turtles with [color = green]
7 k' [* M5 Q' `' x: Y- U& yend0 C; i, G: J; B. X( w4 Y# s
9 m5 m8 A: Z' f. [4 i' U1 b
to update-class-histogram
" _$ \) }( t7 H. G/ P2 F  set-current-plot "Class Histogram": K! t4 N6 a+ g" y: L/ ~: T+ h/ u
  plot-pen-reset
6 G% A2 a) d4 a: \* O; Q  set-plot-pen-color red
- {8 j: O/ c: [: U  plot count turtles with [color = red]
3 Y7 B  i9 }" o$ H; f5 |, J  set-plot-pen-color yellow/ b' K2 J) w1 J3 Q' k" t+ T) e
  plot count turtles with [color = yellow]* O' f: P; q! W) k! ?
  set-plot-pen-color green
+ v% i5 v3 U* g* o  plot count turtles with [color = green]* S# O0 A) i: i8 P
end
# p! T* s' r' k4 {to update-lorenz-and-gini-plots
+ ?' V3 V' b& X4 L' Q. G  set-current-plot "Lorenz Curve"3 L. u# K0 l- s' |9 s) r
  clear-plot5 m+ l+ S% ?1 |% Y6 C% f
9 y5 C. H8 m( z9 g, _7 A5 r2 ~" L
  set-current-plot-pen "equal"
" P/ Y( g# S. W  plot 04 T: N' K# M" U+ Z
  plot 100. ]" R5 v6 E% ^; H# ?2 ]) c, Q

1 {, H7 o" z* A8 {. K6 O  set-current-plot-pen "lorenz", o' ?) m0 k" J3 \  b- y; @( Q1 a
  set-plot-pen-interval 100 / num-people( p/ Z7 E. @8 M4 m9 n, Y, L7 Z1 o/ a
  plot 0" E% e: b( c) K- A# S1 t
  L* M: s& t& j+ `# }
  let sorted-wealths sort [wealth] of turtles
/ n7 I" Y  P4 ]% Z2 z  let total-wealth sum sorted-wealths' G/ m8 J, d& V
  let wealth-sum-so-far 09 W# C" ?0 u+ c7 J( e
  let index 08 |- [" t8 y8 m  q' i+ Q  }- u) G4 X
  let gini-index-reserve 01 K* T" x/ F, z! ]' V7 j9 g4 v) \
8 w5 y& e  H& `$ m6 _  A+ i% s
  repeat num-people [
( R# }7 Q' S3 Q4 m: l    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)( z2 V9 m7 U8 |$ d
    plot (wealth-sum-so-far / total-wealth) * 100% m# U% \1 `- e, h" k+ ?& y- h
    set index (index + 1)
! @6 K; E5 g' y0 Q0 }" h    set gini-index-reserve% x: S2 x/ e4 Z
      gini-index-reserve ++ d3 Y, Z+ V& h6 x! K. |
      (index / num-people) -
7 X2 D8 }5 R0 k% x. A      (wealth-sum-so-far / total-wealth)
2 _+ r) U6 C/ D  ]
" g, t5 ~/ b$ r, s" ^& H1 n/ ]2 a8 ]1 |
  set-current-plot "Gini-Index v. Time"9 X/ P( a$ c% X. m+ h$ B
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
- `$ A  Z8 [2 _8 K5 a: Iend8 V# p. H  P* W5 g3 D
to-report area-of-equality-triangle  t# l* }5 _' V: u' U
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)) H5 h( X) D6 _5 C5 S' Y+ Y8 _+ s, u
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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