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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
; R+ ^0 `$ k) iglobals- n( _/ r5 R' \- ^/ c- _5 d
[
7 }) S5 ], ~8 N% z+ a' d  max-grain   
3 f+ b+ W  R* T2 g! i: f+ C4 ]
9 R+ L& I; k" r$ r( C4 p0 t]
% R! F& r& M4 G4 N, h
/ }; c) G0 e) ]( xpatches-own
* p+ M- j1 J: h. \* F[: b( D/ Q/ I# y
  grain-here      ; M7 c2 `/ j, \% X2 w. U- Y0 S
  max-grain-here  , w7 w; k% j" E+ E
]% h# z5 f0 i; p

8 h$ y& A6 F) w7 f% N' [: ]turtles-own' o- N/ e' k. A
[; I) Y: B" n& _7 `
  age              / k& H- V' z9 l7 g1 p$ O0 q
  wealth         / o5 t% o+ j0 @& n: ?
  life-expectancy  0 j3 C' k! h( g) O
  metabolism       ; h% v9 s# a7 i1 u8 D
  vision7 M9 t, j2 w! G
  inherited         
* A' p  s/ o! V- z! U# b. m]6 s7 a, h) Z" h4 r+ ~4 I
4 w7 A4 ^2 m: ^
/ y; V4 e$ l& L. `) M% `+ m
to setup
8 J! O% k& b: ?+ h  ca$ y' b* Y! {7 X- w: ]9 |% C' S& v/ V, L. x
  set max-grain 50
$ A" {& v# x# B/ v  setup-patches2 a, L$ D8 L% y! E/ y9 X
  setup-turtles. n9 w# U+ [1 p( k9 c" {$ H2 [' @
  setup-plots, g( B* r  F- z3 ~* W4 x
  update-plots7 M" {, ~4 ^2 x& r; b, {1 x
end
# b0 E5 H3 G) `% z. p# mto setup-patches  H6 B5 M8 m, \5 {# Z- [
  ask patches; n6 j4 O0 b5 F0 F# w
    [ set max-grain-here 0" }7 j7 G. k5 ]
      if (random-float 100.0) <= percent-best-land
1 z( q) T! B% c        [ set max-grain-here max-grain
& q# r/ K& w1 @" p          set grain-here max-grain-here ] ]
+ K% H+ r& k/ i7 m% g7 h7 |  repeat 5
" x3 f7 d% h) |    [ ask patches with [max-grain-here != 0]
7 \( }- X( e/ p# _* a6 y        [ set grain-here max-grain-here ]) I* N( l. S- j
      diffuse grain-here 0.5 ]2 X( [3 |$ I& P! `$ h; }, i6 Y: O
  repeat 10
9 r) m# k, `, ^$ J6 u6 x2 N+ ~    [ diffuse grain-here 0.5]         
  Z$ G0 E8 A& v: P! N  ask patches
7 G+ C; I+ n* j4 u9 S    [ set grain-here floor grain-here    ) ~9 M$ ^8 T2 r5 a/ t! d/ t5 h
      set max-grain-here grain-here      
8 O/ {& H* o% S* n, Y5 {8 u" X      recolor-patch ]% D- s8 ~# r8 S8 H; t
end
, @' t9 D3 X& {+ P  A& ]% ?to recolor-patch  
3 d+ b  w7 \( {- L( G  set pcolor scale-color sky grain-here 0 max-grain
8 {, d! z/ K8 {# z9 ^  V2 l  Rend* h# u* K& d) g+ u
to setup-turtles
# Y" S' A- |, z  set-default-shape turtles "person"
4 g6 J( i" I0 m  G  crt num-people
5 R2 ~: Q& ]3 |8 o    [ move-to one-of patches  
& D. h/ I( k9 R) u0 d5 y" U3 O! e      set size 1.5  
% p, T7 |. a4 w2 H2 |) Z      set-initial-turtle-vars-age0 M$ l# b5 C! q" F4 L
      set-initial-turtle-vars-wealth" p: X8 w& E* o' M+ O. U: W. w
      set age random life-expectancy ]7 f, p* |3 F% u
  recolor-turtles
4 R# ]. u, [% o. |8 K2 n9 Kend+ ~* i3 ~  r1 d

5 k2 k* d3 P/ Q, {9 dto set-initial-turtle-vars-age
! w6 d) d& s/ O! c3 k+ B1 X7 { let max-wealth max [wealth] of turtles7 \( K$ M" M/ M
    " X/ a% W+ Y% D5 {$ a
     ifelse (wealth <= max-wealth / 3), m! T: C+ o" J+ c' ]/ {
        [ set color red
3 B9 s) E+ s/ Y          set age 0
. b  n/ q' \3 e$ \- T( N/ ^          face one-of neighbors4
. o3 Q5 O( w7 q. H  N          set life-expectancy life-expectancy-min +
% v5 D- y: L- k2 t                        random life-expectancy-max
; V- B2 E9 `% J% o/ H) l& }' O          set metabolism random 1 + metabolism-low9 C. P/ Q; E9 ^8 j' N
          set wealth metabolism + random 30! N& f# ~$ r1 e. e: t5 F/ H
          set vision 1 + random max-vision
6 r0 [( ~6 R5 a8 t" I6 k             set wealth  wealth +  Wealth-inherited-low ]
1 c5 S% `+ o9 Q        [ ifelse (wealth <= (max-wealth * 2 / 3))
* w( P6 z' Z- s9 f+ b% H2 M: g            [ set color yellow 1 H+ s1 V# s: _. M" q: A
              set age 0# [# e2 g. a( g9 L8 \0 n$ Z( C. h
              face one-of neighbors4 6 K6 b: u& [& _$ W9 C
              set life-expectancy life-expectancy-min +" a1 Z$ v+ ^6 j: ]# `9 I
                        random life-expectancy-max + 1
& L; Y( E2 B" Q2 F2 j9 w) H5 q              set metabolism  1 + random metabolism-mid8 G# G( j1 {) A& k: u
              set wealth metabolism + random 30
0 z6 ?5 O6 K: p. q4 U  C              set vision 3 + random max-vision  }# W& L8 s" z. ?- l' H
                set wealth  wealth + Wealth-inherited-mid]7 X" I7 S! {: I5 v
            [ set color green
3 Y5 J: o0 t9 Y% R0 @$ b- W3 X              set age 06 R: E. F' i; y
              face one-of neighbors4 & k3 C* L) W) b' ^
              set life-expectancy life-expectancy-min +
% r. E! t$ [' N0 ^% L0 [* x" s0 t! [+ I                        random life-expectancy-max  + 2
1 U7 u: F  K4 g  m6 N- {" d              set metabolism 2 + random metabolism-up8 E1 A' l- z  }
              set wealth metabolism + random 30' X% x6 I! ^: t' E2 h! P
              set vision 3 + random max-vision
2 r( u) Q7 }) K" Q/ a              set wealth  wealth + Wealth-inherited-up ] ] ( ?  A% D: G. |" L; j
  W& k2 [- I2 \/ a, }% ~, O
end! m' n' M. x! d3 m
to set-initial-turtle-vars-wealth( J' x, \  |# r! J
let max-wealth max [wealth] of turtles
( T  S6 C/ h/ U% {" y          set age 0% X  S, {- n% X$ f% Z; N* \0 h
          face one-of neighbors4 9 F  ?: |4 r; I% n2 S0 |% A! T% Z
          set life-expectancy life-expectancy-min +
6 d" G. c, p4 Z; d1 O8 }                        random life-expectancy-max
) L7 d: b- i& {  W1 U          set metabolism 1 + random metabolism-up
- v) k' b3 P4 H- t. A          set wealth metabolism + random 30& g! ]! P5 t# v
          set vision 1 + random max-vision # @8 z) z5 G/ V- _0 N' ?7 l7 k, n/ i
end
" N# [% P' {( |& @/ w, o5 nto redistribution7 I* v& \( h) L
let max-wealth max [wealth] of turtles
! V) [9 Y- _+ G! f$ u: c+ ~# N7 mlet min-wealth min [wealth] of turtles8 d5 _9 H: E/ G! `
if (wealth <= max-wealth / 3)
# f3 j9 K' Y: \3 ~' q* x) V: e [set wealth  wealth + Low-income-protection ]0 u2 [  s4 E5 u$ B
end7 v) _  y+ f! E& Z5 v3 {7 O
         
% I1 e, v3 A( b/ R* E# fto recolor-turtles6 H6 F. B) s& P( G
  let max-wealth max [wealth] of turtles
5 O6 {, y; v9 h3 K6 W* \  ask turtles$ h' Y# A+ Y9 z
   [ ifelse (wealth <= max-wealth / 3)
; y  n4 S$ a) a* m3 b- X7 m        [ set color red ]
; O" x, Q- f0 h, w% ^# q) W        [ ifelse (wealth <= (max-wealth * 2 / 3))
/ i* n3 X& a& O8 j3 x: U            [ set color yellow ]
0 c) ~( U' b& Q/ }6 P) _            [ set color green ] ] ]$ x; y% n% ~1 m) D) _# i% G
ask turtles [ifelse show-wealth?
7 b" x9 d$ T9 y    [ set label wealth ]
1 p; l0 {/ h4 ]( {$ X! q    [ set label "" ]]3 v/ ?7 j* ~; t9 v; g" E
end& c  G: i. i* n& Y: ^/ j

# y- m' z- ]' U/ }" Ito go9 ?% c0 x9 F/ l( q! h
  ask turtles9 K/ |4 S$ e) V: ]
    [ turn-towards-grain ]  1 w7 L5 s$ l% x) p6 `0 s
  harvest8 D  B. H! B: y. A
  ask turtles4 Z9 }9 h3 ]5 g% ^: |; z' X5 m
    [ move-eat-age-die ]- S) {  t1 s0 s+ f1 ?) ^8 s3 C$ K
  recolor-turtles- M1 u; A- x/ {6 F, e' d+ x
  if ticks mod grain-growth-interval = 0
; G) q" o+ K% x, i    [ ask patches [ grow-grain ] ]
. `, n+ O) }4 \% ]   
& Y% D- P# r- h7 a( u  f$ U6 t4 B  if ticks mod 11 = 0, e" O( S1 {5 }
  [ask turtles
  [; J4 B5 L) ?, n# R  [ redistribution ]]
& O8 J2 ?% p5 R. B/ N! [6 F  if ticks mod 5 = 0
9 K: T( M9 r2 D   [ask turtles5 d: }2 H; [" A9 R3 j
  [ visions ]], o' A/ Q) c  y1 C
  tick
4 ]* {: [$ R, I7 L: {, R6 w& u4 u9 C  update-plots- t0 J$ u$ Q6 `1 _
end
- _& G9 Z/ ]; r7 bto visions3 C) e# p. f( }% i: v& r: R# g
set vision vision + 1
5 }, t( b: h/ {6 O- ?" ^8 aend
6 J: B3 X. d* X5 x! n' G" P+ e" o/ S* D

8 Z. L. p& c4 a$ _
! O- h/ s" O- b6 Lto turn-towards-grain  
! A8 ]  @0 V( q3 N5 T8 ^# C  set heading 0, }( N& `) J3 s: r
  let best-direction 0
) R" ^$ i  |9 ]3 B6 f  let best-amount grain-ahead4 Y3 ?& m0 s7 g( D) f
  set heading 903 H5 R! I4 G1 U. k* X0 Q
  if (grain-ahead > best-amount)
- h  U! k$ n" k2 n    [ set best-direction 908 J; Z5 R! l2 T
      set best-amount grain-ahead ]6 [+ T" k% M" o  Z( @3 j
  set heading 180
: v/ l3 r5 l5 T" z3 o4 `  if (grain-ahead > best-amount)8 s) E. m; {; G- {/ }
    [ set best-direction 180
3 p1 C% }* h( r) S( B      set best-amount grain-ahead ]
' c# A( o$ B/ ^% ]1 n2 I6 [  set heading 270
0 o1 m# z2 k* e; V8 F! \* h  if (grain-ahead > best-amount)+ C8 H+ i) e6 o
    [ set best-direction 2705 ]$ a1 R2 W. W9 Y& Y3 K
      set best-amount grain-ahead ]
3 Z- K  a8 i+ {7 G  set heading best-direction
" M3 \$ f* V0 M) N* }end
3 _: W; c. m$ o7 h$ X* U2 m1 i" l) `& `3 ?+ L- O8 {0 s
9 r' Y6 _# `0 s$ j. h% m9 l. }
to-report grain-ahead  
8 i. N2 Q" w! j. C- z  let total 0: Q) w* X0 D1 r7 `
  let how-far 1
0 K4 T$ j1 W1 K  V  repeat vision
' K* P& ]8 J& V( P- Y+ |    [ set total total + [grain-here] of patch-ahead how-far- I5 K4 k* ]2 T: T/ g4 ~
      set how-far how-far + 1 ]  E* V  }" A& g
  report total0 P4 o0 a0 C$ L& t
end; o6 @$ v( f# H/ r! O

& s! D/ ]9 T& ~5 H  q6 Cto grow-grain
- X: R# A' P6 k0 g; u' M  if (grain-here < max-grain-here)# Q( \, j2 p4 l
    [ set grain-here grain-here + num-grain-grown$ P3 \/ f& x2 V- R' Z
      if (grain-here > max-grain-here) $ C+ Y( b/ W5 C0 P5 }& r
        [ set grain-here max-grain-here ]
2 @  ]) E9 l" E% x/ @' t      recolor-patch ]
% J3 C+ Q" H: zend& [3 x3 C& j( T1 K1 ~
to harvest
! q4 X5 E$ s! N1 Y  ask turtles
7 Y- k% S4 p, c7 l$ [/ [    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]2 \* u) b. ^( |3 O& v6 p
  ask turtles
% Z: A- `6 d3 T8 o    [ set grain-here 0
2 [/ [$ O0 s. l8 L- T      recolor-patch ]
" h0 G- o0 w$ B# g! s6 w; B  3 J; u& n* q* @4 n$ z, O
end
+ o$ P; G: L" S, F- l2 Y4 u7 C( A+ K7 n
to move-eat-age-die  
3 |- p/ t* M' B, {2 k1 \* L- ?$ W. h  fd 1
4 R7 Q% t- C+ Q3 v2 M+ G  set wealth (wealth - metabolism)# L  M& {8 f8 S6 C4 A& v: s9 C5 e
    set age (age + 1)
! d+ Y' i: M. L) [( n3 a0 N3 M  if (age >= life-expectancy)
1 E. {1 `" a" P% {6 |6 F+ [    [ set-initial-turtle-vars-age ]
* a% M' @. \- V/ P8 h  if (wealth < 0)
9 v9 ]3 h% R0 l1 v: J9 ]0 u    [ set-initial-turtle-vars-wealth ]
8 M& ?# E& L: b/ p0 k0 O5 W2 X$ O   
: @& |4 g: x. t9 Mend
( o" w: k7 c9 I: r  E5 j) m) i) V) M2 a' t- D

4 w: A. }7 ?$ C* Y6 ?. {% @$ Jto setup-plots
$ @0 u  o+ X, w' e2 Z0 p  set-current-plot "Class Plot"& {, Q& }# z9 l& j( h
  set-plot-y-range 0 num-people
2 ^* S5 e, e7 n. {$ B% i4 [& G  set-current-plot "Class Histogram"$ l( t0 G3 A2 `9 N
  set-plot-y-range 0 num-people
. ?9 K# D0 S2 j' Q6 U6 A( B/ h) ]end4 O6 r7 G$ x/ H. k
4 r5 h) m0 l  Y7 a* \
to update-plots
* U) {6 I2 l% ]  update-class-plot! r6 \) D2 f0 _6 g$ D
  update-class-histogram
) }3 z) z6 i7 z# b  update-lorenz-and-gini-plots
4 X: Z0 Z* l1 h6 Q' Gend
' y. o& B9 ]% E; E
0 c4 Q% t/ ]* R4 [; h! mto update-class-plot
+ B* P  k/ Z/ o/ H  set-current-plot "Class Plot"6 R, @2 n1 L5 @3 b3 U9 v, h. ~
  set-current-plot-pen "low"
' J' [/ k. V5 }8 l% n  plot count turtles with [color = red]9 K6 y( P8 B2 l
  set-current-plot-pen "mid"2 P6 P2 K: G% h9 i  V2 r! L+ K* r- j
  plot count turtles with [color = yellow]6 X6 m* ?1 X2 W& e4 G& S/ T. [( x
  set-current-plot-pen "up"
& H1 z  {" h, L8 x7 |  plot count turtles with [color = green]
( s( c/ Y* B- \' f! j! `end3 M7 X# `" c0 m" L% N9 U
$ l6 C8 |9 Y5 ?) Q: v0 @
to update-class-histogram
! T! z& N3 V1 s# q* G& Z  set-current-plot "Class Histogram"! Q9 t1 c, n# r% U, j, t7 Y* V
  plot-pen-reset
; D$ G; f+ |9 W; \  set-plot-pen-color red# n3 z- ]# E6 |) p. |2 Z( `
  plot count turtles with [color = red]. P! f- R7 F3 S
  set-plot-pen-color yellow
  G5 e* s% }0 M( o+ q( l  plot count turtles with [color = yellow]* e8 t: U2 [) D0 g% q7 O
  set-plot-pen-color green- }0 `! Z$ K+ O0 K: U5 l% u
  plot count turtles with [color = green]
: b8 x0 F1 Z( @7 h4 A) ~' B7 s3 s* Send# `/ }1 O/ J; N
to update-lorenz-and-gini-plots
. z/ S& T% V3 ]/ ^1 M4 J0 J( n; q  set-current-plot "Lorenz Curve"
4 P! O) C! S  j0 r  X& s  clear-plot
1 K0 c, |2 s$ q+ J( z7 I  e) ]
0 {4 u' }+ H5 y  set-current-plot-pen "equal"
6 G' b( e4 L4 W+ D* G* c" _1 ^  plot 0
) k, u0 D5 e, F6 c2 e  plot 100
$ i: d4 d! G7 z7 n7 M
% G& K. l+ W* a1 A: J# Y+ n8 i  set-current-plot-pen "lorenz"
5 {4 ^& ^! {2 k+ H- f7 c8 k  set-plot-pen-interval 100 / num-people8 |6 F- {, J  ^
  plot 0+ y* X& T* r$ x+ U0 P+ F% I

; @6 v8 J' `! O4 Q  e; Q  let sorted-wealths sort [wealth] of turtles  m$ N+ `+ C" j3 T) w4 B
  let total-wealth sum sorted-wealths
' G- C4 f4 P9 |% d2 y; p2 ^9 Y1 ]  let wealth-sum-so-far 0$ P9 B5 H" u! z0 P0 U, o
  let index 0# o9 j' y$ P! O  Z+ Z4 p
  let gini-index-reserve 0
+ W% A2 t% F3 n* J" y4 r: R6 N" T; G$ f# J7 E
  repeat num-people [- C0 G$ j" \9 I, A2 D
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
& Z& M1 ?9 F* z9 @7 ]    plot (wealth-sum-so-far / total-wealth) * 1003 z  f6 V2 ~5 q0 K/ c1 C) r' b- L
    set index (index + 1), V1 E7 k) d* a# O: a5 c! C/ x
    set gini-index-reserve
; x2 u( t4 u2 Q8 N; g4 r: Y! G      gini-index-reserve +* z, h6 M/ J9 d! B
      (index / num-people) -' e: x  x7 F- u: s
      (wealth-sum-so-far / total-wealth)- H0 I9 B6 d( q& t; v
  ]
: T" |' Z. K( c2 g) c% f* f- ?5 q$ B- {$ Q* Z: a2 c
  set-current-plot "Gini-Index v. Time"
) a0 R5 [# \: `# Y2 Y  plot (gini-index-reserve / num-people) / area-of-equality-triangle
) _7 ]! b# \* oend
: i# m% C9 V( s. A; q+ {$ D: K3 s0 Ato-report area-of-equality-triangle
; \6 i7 [- ~! g  b8 j  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
" U; N# [( H' q" C9 K1 _+ Iend
 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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