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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
: E: J$ E+ T" u( _5 P+ Nglobals
: V; E) |7 Z  I6 A5 z$ T7 p[
+ E! F' ^$ W% F8 Y8 j5 \1 o( v* r  max-grain    3 c& N8 z% ]9 f- ]4 p
9 K' i- o. M7 v! W1 S" Y, e) t
]
9 m4 ]# ^6 A) n7 B& W( S( J/ V" d2 u+ ]0 v% i* |
patches-own
' T  \; @+ Y* \% h' D' q[
" I& N% d7 k" k0 k7 a" M1 M+ r7 \) Z  grain-here      
8 ^6 \, `$ P  o( t  H* {& R' Z  max-grain-here  
; k1 C* \- m# U% J]
# A5 ~# g$ D5 m) c4 F
6 B! [+ y6 L, q. S1 n- xturtles-own+ F; e1 `, L6 [# ~
[
' q* T. w# R  Z8 ?  a+ O, y8 b& C7 U  age              " g: J6 e- J0 n8 z% M
  wealth         2 D' b* p# C; ^3 y; u3 ~
  life-expectancy  
$ i5 c: J: u, ^+ ]8 I  metabolism      
% ^+ ^  D1 ?4 Y- O6 i; t9 I  vision" G# P# T0 u# A, O3 E' D
  inherited         0 ]. n( a7 ?9 [4 ?8 S0 ~
]' p& y0 t# H" b$ ~7 p& ~
% B; \2 J! N/ d6 p% U7 \9 U8 ]

. m- l! w* Q* y3 r9 z' R; J, e% z+ Ato setup
7 I8 y) X' U' C1 }  ca
) e" |* |* W2 P2 h  set max-grain 50
, y" O$ X: ^7 Q1 c  setup-patches
4 b6 @; @! {7 o( ]$ K  setup-turtles$ [8 \9 }% J& h/ F4 D) e0 Q
  setup-plots
8 R8 E' Z" l. [1 I' H! a  update-plots
( M! r5 U6 j) k4 C/ p3 Vend6 {  a$ `8 m! X! h6 D) U
to setup-patches$ ^/ h5 L( W3 d9 ?7 n6 K4 ^
  ask patches0 l) U/ S7 L- F: N4 g
    [ set max-grain-here 0
( y% b* j7 `, g8 i' J2 P( m      if (random-float 100.0) <= percent-best-land
1 y) }) y" ^6 B( [4 x! S+ D; g        [ set max-grain-here max-grain
" G9 ?0 L2 v# T& \% R, ~/ f* A          set grain-here max-grain-here ] ]
9 N6 m1 l7 b" e0 E) {7 R  repeat 5# i' w# y. l. O5 C( O, [
    [ ask patches with [max-grain-here != 0]; J6 }# u! U9 b/ |, P- H
        [ set grain-here max-grain-here ], I6 J" ^4 B; C; W  i  I
      diffuse grain-here 0.5 ]1 t. @7 B# Z5 q* `) k
  repeat 10! g! {: g9 Z: f5 i$ D( D; l
    [ diffuse grain-here 0.5]         
  G2 R1 ^2 W; s. E4 @, s  ask patches* Y! M, P9 |: u4 d8 y) ?$ c
    [ set grain-here floor grain-here   
7 E% O( r- v. d      set max-grain-here grain-here      & ^; @& y' Y: G' L) X6 K
      recolor-patch ]
' h- l! v! h' G# Eend! ?# `+ \2 r) b( ~# J: p9 x% q# J
to recolor-patch  
, Y0 l* J4 d$ J- w. `6 Q  set pcolor scale-color sky grain-here 0 max-grain2 \8 v$ u: w- y. n0 G$ ^  l2 X
end' s3 r8 q- _: S- ^, J
to setup-turtles& z! w# J7 E. D; p7 A/ [
  set-default-shape turtles "person"$ B: P& H2 I  p- D. s
  crt num-people! i# g7 P7 ^2 p# d
    [ move-to one-of patches  2 \5 |6 ]- g9 w2 b. c
      set size 1.5  
& Y, c# `: \$ X! P6 Q4 c3 {      set-initial-turtle-vars-age
% y0 L8 _3 y4 o. L8 t4 `8 H' R+ C      set-initial-turtle-vars-wealth/ `: K" m; f: ?& f( M
      set age random life-expectancy ]
+ V( ?: V6 z# m$ {: l  recolor-turtles
5 p1 K: k/ D1 R2 A- Fend
* V$ _/ [. v1 W" _5 l% o8 U  f& i0 M" f
to set-initial-turtle-vars-age/ S% D. h" t1 z6 F) j
let max-wealth max [wealth] of turtles$ B2 x! {& _. X1 u/ T9 D4 g9 ~
   
9 k, j; Y0 m# q     ifelse (wealth <= max-wealth / 3)
. u2 Y" w8 O6 A. k8 N        [ set color red / H! P+ Y2 |5 |( G8 ^( r! l7 C
          set age 0
3 k$ t2 g8 O9 ?8 N          face one-of neighbors4
& W, d; Z6 [" G3 M          set life-expectancy life-expectancy-min +* N; {1 i7 ?% y2 z( m0 C& x
                        random life-expectancy-max * A8 ^* @1 A  }3 }6 `! n& g
          set metabolism random 1 + metabolism-low
4 R$ u2 S9 G7 M9 m! G          set wealth metabolism + random 308 S; K' k' @' @6 i
          set vision 1 + random max-vision- o3 [0 m2 W/ @
             set wealth  wealth +  Wealth-inherited-low ]) H" t/ }2 M7 v3 i5 N
        [ ifelse (wealth <= (max-wealth * 2 / 3)). F) _: F* A- l0 ]5 T
            [ set color yellow
0 }$ C  Y1 [% o4 h1 H1 B! v              set age 0* N( ~: |; }. u) O" y
              face one-of neighbors4
+ R1 x# P, [8 |              set life-expectancy life-expectancy-min +% R8 f' G7 E& Z8 A/ ?( q
                        random life-expectancy-max + 1
0 R9 E7 i/ T2 z* m/ a" N: ?. i6 ]              set metabolism  1 + random metabolism-mid9 z( R1 L4 P3 _$ G
              set wealth metabolism + random 30
& b2 E! a* w* I' h8 ^! p6 R+ y$ m              set vision 3 + random max-vision& [1 ^" e8 T5 {$ r# ^! }, x
                set wealth  wealth + Wealth-inherited-mid]
* ~! ^1 G( O6 v& a) h            [ set color green
" O8 {3 L. b5 a: P' w7 ]% P              set age 0' {6 T- j, x( _$ y: Q( i
              face one-of neighbors4
2 E, b2 R! m9 c: b7 f              set life-expectancy life-expectancy-min +/ y( r7 Z8 v4 w
                        random life-expectancy-max  + 2
0 Z$ E/ U/ g& N# |              set metabolism 2 + random metabolism-up
0 w8 P$ f# A& D- j( n! i              set wealth metabolism + random 30" }' p$ Y5 b% t3 Q1 f
              set vision 3 + random max-vision0 v+ v8 f6 _# p" a( z" a& @' Z
              set wealth  wealth + Wealth-inherited-up ] ] 8 d* p% q+ K0 j+ {
8 y, B  C5 H9 ~) ^6 B
end
& r+ r4 V2 \# e$ u7 ]$ Fto set-initial-turtle-vars-wealth% n( \. Z& e& E. h6 T
let max-wealth max [wealth] of turtles+ b: E! u2 _8 Q( y, U) a$ I
          set age 01 O+ B" @6 `% H1 y- C# e  ~
          face one-of neighbors4
+ v! M2 |; Z  l8 w3 ^$ u          set life-expectancy life-expectancy-min +
: _" ]& e0 X; z* S  K                        random life-expectancy-max # u5 S5 e  p. X) v- J1 l# d
          set metabolism 1 + random metabolism-up7 i3 Y+ Q1 x8 p
          set wealth metabolism + random 30# ?9 t! ^3 n3 f! n. l
          set vision 1 + random max-vision " {/ X) N4 a1 |% L/ S* T
end
- N7 z6 s+ |$ |+ yto redistribution9 H; S3 m1 s& {) n
let max-wealth max [wealth] of turtles2 L5 s' w; `' W
let min-wealth min [wealth] of turtles
( b: I+ f6 d2 v) n& Q4 n+ T! }if (wealth <= max-wealth / 3)
' U: r9 q9 Z9 a( m% }# t [set wealth  wealth + Low-income-protection ]6 ?- N. D3 D  F3 Y6 h4 _! L
end( C3 C& Z% k4 M; d  q, }
          # m. s) `0 B5 N6 R$ }; c
to recolor-turtles
& L$ A+ ]8 m6 J  let max-wealth max [wealth] of turtles
  I7 L1 i. i# {2 _; q  ~  ask turtles
6 x" i/ o; U3 k/ `# s0 b9 S5 \   [ ifelse (wealth <= max-wealth / 3)& g* P$ f$ p% c$ b9 ~+ [
        [ set color red ]3 J; s3 J  X* j1 X% m2 F5 o; o
        [ ifelse (wealth <= (max-wealth * 2 / 3))
  U: u( r3 w! x: E* ]2 M            [ set color yellow ]4 o5 }9 \2 ^( ^0 g# x
            [ set color green ] ] ]6 _, }: }5 v9 S) j
ask turtles [ifelse show-wealth?
! P9 k6 o- e, C1 j    [ set label wealth ]
( J- s0 O/ ]! l& F4 N; S# a    [ set label "" ]]/ \/ p- B+ Y* `# o5 n
end2 C! F/ L4 P  ?

5 V) T/ X- R0 P6 j  k5 eto go
/ {- `  D5 U6 s) R9 p  ask turtles
& \1 }1 H1 W1 w! l    [ turn-towards-grain ]  ; @% o" p" y/ B6 G
  harvest+ D5 j0 B( ?# l" T6 w+ T% c" n, \: w
  ask turtles2 p+ _: c$ U! B4 }6 F! t2 k
    [ move-eat-age-die ]% \$ y, }0 D7 K7 M' J
  recolor-turtles
. t+ Q2 ~4 [! x  if ticks mod grain-growth-interval = 0
, ?8 w8 m' Y3 ^# X8 K    [ ask patches [ grow-grain ] ]% [7 q; C6 N: w! C
   ( \/ o+ H! i+ T6 M! \( F
  if ticks mod 11 = 0
( N& a: u% J# \0 p4 X4 d  [ask turtles
* Q6 A; @# j  m  G) p' l' C3 J1 `  [ redistribution ]]
9 j8 j9 \: N, U7 O" P- G$ T" C0 u  if ticks mod 5 = 0. V. f+ |+ W! A; z
   [ask turtles
" }1 j3 e# i7 L. p3 x  [ visions ]]
! P) L! {$ u4 Z: x  tick; s# A4 e0 o7 e2 h
  update-plots  n! s3 s+ L4 T' \0 j% j. s6 r
end
. R6 A! z. W: K( U& s8 @1 y( Vto visions+ s9 ?( B5 z! K7 [
set vision vision + 1 , v. h# R0 y5 z7 M. G3 \
end$ g$ j* l" w: m  {0 d3 a4 V' N

7 j+ x) V/ E2 Z7 M! T% M: i& d" p3 r! T( w' V, f

- M# `3 j8 r. ]to turn-towards-grain  # O+ R) @6 g# J; ^' z. r  A
  set heading 0
$ Y* b6 T& S9 v' l  let best-direction 0- ~+ t6 B) D; u; d0 N: M" V  U# t
  let best-amount grain-ahead: E+ w) T# s' h* s7 h' d, z4 h
  set heading 901 U. R# z7 _- j/ y
  if (grain-ahead > best-amount)
$ D8 A& W) T; _/ _7 e0 k! e    [ set best-direction 903 e- r) I0 z8 S* w$ {) ^( n
      set best-amount grain-ahead ]
0 u. s9 s; `" B5 m  set heading 1807 o. c  p. C# \/ W
  if (grain-ahead > best-amount)
: m  s3 [. I  S: m7 j    [ set best-direction 180: V3 W4 c+ W( `, X# _1 s4 F8 W) {* u
      set best-amount grain-ahead ]' n! n1 n4 J  e' R/ C
  set heading 270( z0 ?7 m$ ?" Z, J7 S+ H! t, K7 _% Q
  if (grain-ahead > best-amount)
' O  v  |( P7 r0 I. s5 n# D; n    [ set best-direction 270
+ R, C5 t8 S# z8 `4 k& s' ]* |      set best-amount grain-ahead ]: \& [& [5 v. R7 \9 m
  set heading best-direction! ?  x, A8 d& \
end* `5 j% P% E# V6 D
% Q) S; k% ^* r; u8 o6 H' p3 f

9 M' k# Q+ q$ Pto-report grain-ahead  2 e5 [" v7 X( s8 _' H
  let total 0- B) R% ]0 D' X9 n4 {5 `4 M
  let how-far 1
9 \8 y' ?% C0 n2 [% A2 s2 O1 T  repeat vision& v" J$ y1 H! p+ v
    [ set total total + [grain-here] of patch-ahead how-far! |8 P% L+ B6 h8 G7 q( z
      set how-far how-far + 1 ]
3 R) a2 Z- t, N+ t4 x/ S4 ^& M  report total
% [: e% w0 [2 j5 O. y) Xend
5 O, [' l9 s0 v
  U( F/ i4 W, H# |to grow-grain
* u4 b; D  j3 S! d+ ^  if (grain-here < max-grain-here)
) h2 x. u0 C0 M' |1 c* D8 N    [ set grain-here grain-here + num-grain-grown  g) c9 K6 A0 l/ F0 ~
      if (grain-here > max-grain-here) ' O* k$ H  t' b" d% n
        [ set grain-here max-grain-here ]* t( f5 e/ }& @% c- `9 i
      recolor-patch ]% Y) {7 Q" b8 ], B1 C! @! B9 w0 D5 v
end- {; o0 ^* v/ p. T5 I
to harvest
2 B7 K/ I( l) J7 R  ask turtles) u" }; b( X' ~
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
) _- |" v: ?$ v/ ^, T  ask turtles( S: t& A  K1 o) J" w+ f1 ^/ D
    [ set grain-here 0
* {. x' M! {: a7 U5 F+ l5 ~      recolor-patch ], P+ B8 ]: X. D4 f1 ?7 R( Y, c) \
  5 E4 c( r& {1 s' ]# \+ Y
end5 n9 \+ ^) O: x

: B4 K1 q; U) y+ eto move-eat-age-die  5 ]0 T1 U+ K1 y$ S  ~6 v
  fd 1
. j0 z- g' L  U$ s  set wealth (wealth - metabolism)
9 f1 z9 B3 R7 `6 n1 J- k    set age (age + 1)
7 t1 @7 K, T8 l4 N  if (age >= life-expectancy)
% p! g0 S/ }- O0 y" ?, J) @    [ set-initial-turtle-vars-age ]
# j; e6 ]% V9 L/ n8 Q) U  if (wealth < 0)$ P3 Q2 r9 A3 h6 N- ?2 N' j
    [ set-initial-turtle-vars-wealth ]
, ^; ^7 N# X. F. h8 F3 `9 s) i   
' F. A3 b# C+ l' k4 r2 a; W, hend* x4 ~- q6 \; d4 `6 l
% n1 v7 Y3 y% Q9 C; j, G0 k3 @
9 d# O8 g% `9 n9 I( c
to setup-plots
- x" E* x8 p$ h  j# T  set-current-plot "Class Plot"
1 p. W/ r: b, b  K6 [3 o  set-plot-y-range 0 num-people8 l: E. {/ y4 \9 Z. [
  set-current-plot "Class Histogram"1 v4 s5 [. L# I" K
  set-plot-y-range 0 num-people
8 Z; h/ J% l) j; kend
  S; w7 h( K  V- A
2 v$ B( Y! \- B3 x& y$ q, f: cto update-plots4 l  K4 t' m7 u4 x, _; h
  update-class-plot' v, K3 n$ }/ }- p3 `2 t. @$ I
  update-class-histogram
, P7 }. a$ L, `; P" ^  update-lorenz-and-gini-plots; R- ^+ V* X2 i4 s
end
. n8 A5 }0 I% c; [$ `. n  N1 @% J9 g9 Q. b: h
to update-class-plot
3 v( L1 Y6 c5 o: r; K  set-current-plot "Class Plot"- a( w/ \5 w: k* W2 o# V
  set-current-plot-pen "low"4 ~- n/ x; E: g5 v0 O8 M; A  t" \6 \
  plot count turtles with [color = red]( a" r# c! g* q$ e; v# k9 D
  set-current-plot-pen "mid"! w% u. l! i5 D0 X7 h4 T7 [. [
  plot count turtles with [color = yellow]: D- ?: b/ v$ o$ D; c- g
  set-current-plot-pen "up"" k; p' r& Q) q
  plot count turtles with [color = green]: n, R/ X7 A9 l$ |$ N
end
" n; g  B& f/ P& D+ H+ J3 ~% A
* R7 K) v+ z1 K( R) Mto update-class-histogram
  [" d3 r8 N% ]# B' f  set-current-plot "Class Histogram"
( T: v/ s: Q( D/ f% |4 i  plot-pen-reset
9 q5 q0 ^" v( O7 m7 c" u; Z  set-plot-pen-color red; O; i' u! N) H/ k7 |
  plot count turtles with [color = red]$ j+ d, d; ~( R8 o  m7 M
  set-plot-pen-color yellow( |5 Z9 m* ~* N2 m
  plot count turtles with [color = yellow]6 l& ~3 z! P) c, z" P  `* O
  set-plot-pen-color green" @' R" W3 Y, ]/ L$ a' l3 |; k
  plot count turtles with [color = green]$ L* [5 Z- F3 @0 J0 F
end1 Q4 J. q& z+ G1 ^
to update-lorenz-and-gini-plots* ~+ H  }0 h! X) y
  set-current-plot "Lorenz Curve"
2 A7 v; {$ A$ D9 G* U0 _* e  clear-plot
0 p: {9 I; |( x2 n" X, b) z# l. N9 _  j7 R7 q8 r7 Z
  set-current-plot-pen "equal"
5 o7 P5 Z7 |) _( b; W  plot 0
1 ^" {, W) {- d& }. _  plot 100- l8 C& L$ _/ a9 ?

* S( S# m/ ~- k; X0 d4 b4 T6 I  T7 o  set-current-plot-pen "lorenz"6 e0 b. r7 B& c# s7 H5 E+ I
  set-plot-pen-interval 100 / num-people6 w( x+ U+ C. l9 P( F: M. V
  plot 05 y# @  y: s; D" `6 c  @
. |! w- b& l! \& I
  let sorted-wealths sort [wealth] of turtles
4 ~% P, X+ O5 ]6 }  let total-wealth sum sorted-wealths  v% T) G0 [& W2 }1 v
  let wealth-sum-so-far 0  u& b3 g3 g) ~: T. G
  let index 03 b. \5 B4 G2 y, s
  let gini-index-reserve 0
! m: V5 z% v2 }# U$ V2 q# r7 s; U" ]$ w1 h+ R) _
  repeat num-people [. s* ~' W$ p5 |9 g- `/ B8 B% k( ?
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)% T- p% B* n: Y
    plot (wealth-sum-so-far / total-wealth) * 100* r3 M; q' {3 n8 G" `$ Q$ n. x
    set index (index + 1)
8 r) E& P, c- G" ~+ o) d    set gini-index-reserve
- t: ?0 v" h$ x2 b      gini-index-reserve +3 i( m  Z0 ~& w* N9 A1 Y& E
      (index / num-people) -, }4 B; a5 G1 [
      (wealth-sum-so-far / total-wealth)
. ^& _/ O3 C# ?5 v. `  ]
; Y% l9 V3 U; b7 E$ a7 E+ O' P  Y9 B& `- S' @
  set-current-plot "Gini-Index v. Time"" d8 E' e7 i$ i& B0 V
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
% H$ Q( s1 J- P9 v1 K% iend( [. A6 Y& `, E5 ^0 A& V; P9 S  c
to-report area-of-equality-triangle
8 z9 x; V3 W5 _% b- {7 t% Z  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)# o8 t5 S- Q/ D! M' c$ H3 f* r
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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