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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
$ X4 k) |- w' ^globals
! q# o& d' [( [% o- b2 \[0 H5 F. Y' [. V6 G% n6 t/ d$ k9 Q
  max-grain   
  h$ s& p( }& H" I& p: n5 x8 ?: m/ ?% c0 J( z5 w  f' D" R
]
" z4 V. ]. ^4 {! q$ G3 g& ?- u  a' l1 O5 }
patches-own
, q; T0 \. Z* W1 }- K[% Y/ J) o- a4 q) p
  grain-here      
; [! R+ j8 I) m6 c8 Y  max-grain-here  
$ Y! L) [2 {$ G) _5 [* H% Z' p; `]( A" G# |% w  C" v6 X  G* ~& w

- y" b/ f* T# u/ N! I# {* Mturtles-own
9 j: g( Y) U1 q[" D2 K. B( ?2 I/ y  w5 U4 M2 t
  age              
# {3 e5 \, D" ], ]) L  wealth         ; p6 D" x; I  z" n, O* ^( s
  life-expectancy  % q; r& A% A' \
  metabolism       ; U& w( V# A* m# j
  vision6 b% \2 ]0 m* k: t5 ^1 ]
  inherited         
8 L( C# U; r) {' Y+ v7 d, f]
4 J5 c) H: e+ e5 a8 p- |4 \/ @+ }$ Q4 M" W8 C& ?
- g8 [: x# F+ `2 S0 Z+ k
to setup0 Y1 Q5 o* d7 w: b2 u
  ca8 B( x2 B+ q& S' {% n
  set max-grain 50: s2 ~* ]$ C; S2 i( {! d% t3 t2 _
  setup-patches1 s* H0 `& D  J( N) n4 C" ?  k
  setup-turtles
% P: L& I2 }" X* k) {5 L% d  setup-plots- V+ w+ Y; b( b- J% U: m" l
  update-plots+ }; v; y1 Q  K" z+ f# \4 r% }4 o( O# L
end
% T5 T8 X# |' {8 @4 E2 ^to setup-patches$ ~* O5 H6 }! Z: O$ e( [: N
  ask patches" K5 k, N8 T6 I) k" M: S: K
    [ set max-grain-here 0: v- W: I% K2 k" c% k
      if (random-float 100.0) <= percent-best-land
8 ~+ O7 u8 V) v- |        [ set max-grain-here max-grain
% L1 @9 v& q& n( `6 I          set grain-here max-grain-here ] ]
5 p6 [3 w4 m" i% p2 O% b  repeat 5( x3 ^. H1 v- n5 A4 v
    [ ask patches with [max-grain-here != 0]+ R' _! Y# g9 U. o; u
        [ set grain-here max-grain-here ]+ B3 P# t+ n/ c3 c
      diffuse grain-here 0.5 ]
+ u( W: S3 C( T) y: }4 j* S  repeat 10
/ g; @& S0 ?; z4 y/ m& A    [ diffuse grain-here 0.5]         
. _4 Q! h0 z$ B. `; A* E. w  ask patches. t- e: g- {. }* a% ?, J" H
    [ set grain-here floor grain-here   
0 V8 O8 {+ U  g7 ]% n! {      set max-grain-here grain-here      
; c" Q4 H- E/ U  y1 g# S& @      recolor-patch ]
9 c$ O- h% C6 wend. S* Q, V+ X- `/ j; F
to recolor-patch  
! E: f8 w; p: q2 A  set pcolor scale-color sky grain-here 0 max-grain# b- u* Y' D3 s4 ^$ x2 F
end9 Q7 t0 x2 J. a( V
to setup-turtles/ T$ z# j; b4 w
  set-default-shape turtles "person"* e: v. b8 u8 D: U
  crt num-people! T% g# E% `- `& `1 f4 v6 @$ h' W% i
    [ move-to one-of patches  - w* C: X" _9 V4 u: _% R# V
      set size 1.5  
8 ^; s  l& I6 R. Q# h      set-initial-turtle-vars-age
, i; r+ C( Q, n. b; l      set-initial-turtle-vars-wealth( }! U/ D& ?( D4 v
      set age random life-expectancy ]
8 s& b6 b7 R2 X& @1 @% i& Z4 _  recolor-turtles
& n6 t5 F  M! w* }# Vend
+ r; _* [$ b2 X' m$ O" n  p
% o, X; _$ A% a9 t4 q+ g6 kto set-initial-turtle-vars-age
0 k1 b# R' X" E6 j& O let max-wealth max [wealth] of turtles6 \' W3 z, \5 k) Z
    . g: C) t3 H/ u
     ifelse (wealth <= max-wealth / 3)
+ z/ \( |, ?, a) Y* T8 W3 I        [ set color red ! ~2 t5 B! \, _
          set age 0
' I6 C" C$ K$ o& F& f+ }$ n0 K- S          face one-of neighbors4
2 [8 ^9 f* Q/ O& [* N3 l4 {7 [6 D          set life-expectancy life-expectancy-min +' h$ U5 B8 k' j* Q0 q" D( o9 V
                        random life-expectancy-max
$ M$ `/ D6 X( @          set metabolism random 1 + metabolism-low: B6 w; y4 k# w1 O. L
          set wealth metabolism + random 306 ^5 X: n+ C5 f% o/ G7 J+ n  d
          set vision 1 + random max-vision
' j+ V8 `2 _4 e% M/ B& T             set wealth  wealth +  Wealth-inherited-low ]6 [" }8 D! G& c! K
        [ ifelse (wealth <= (max-wealth * 2 / 3))
7 G% U0 a/ v$ p+ m+ n            [ set color yellow % F7 J; P0 ?& L& N
              set age 0) {) v) G/ l! W8 e1 i* f
              face one-of neighbors4 # h! t& o, C3 l! k4 z
              set life-expectancy life-expectancy-min +; Y2 w1 L8 U2 N! q4 i
                        random life-expectancy-max + 16 Q2 m2 Q9 E5 N! A# H
              set metabolism  1 + random metabolism-mid
; L" |" y* v! p              set wealth metabolism + random 30
8 b( W- f5 ?9 L( T; @% `& u' E              set vision 3 + random max-vision
8 |) b* E0 ^9 ^4 t, t2 @$ i% G2 a* G                set wealth  wealth + Wealth-inherited-mid]# v" q$ L6 A; @+ V! J1 J
            [ set color green + ~( W% q$ M7 l& g# \. w- x  R% w3 P
              set age 0
% E2 T0 i" {) W              face one-of neighbors4
0 m  V3 D& r" I+ k( k! a; C              set life-expectancy life-expectancy-min +. _: d# r& y' k: N4 {2 W, [0 {3 ~
                        random life-expectancy-max  + 2
; W3 ?, z+ t' ?0 j              set metabolism 2 + random metabolism-up
" @! r/ ?  H$ Y- [. _$ I7 E5 p              set wealth metabolism + random 302 Y& t( C1 y7 i1 Z) H/ p! s
              set vision 3 + random max-vision
% z  \1 V6 I: h7 N9 k1 |3 p) K1 k              set wealth  wealth + Wealth-inherited-up ] ] 2 o2 E) H3 a" d* {* U
* }. ]/ |; p7 T
end
  |! }. n" a3 s1 ]' g8 C3 ?7 [to set-initial-turtle-vars-wealth: @+ K( z7 W/ T
let max-wealth max [wealth] of turtles
+ a) h, D. t) Z; P: r! a" E# Z, d          set age 0
( ]/ ?8 O/ I) w5 L* W1 _+ o          face one-of neighbors4 6 C$ w1 L7 ~" S5 ]
          set life-expectancy life-expectancy-min +
# O: {: }6 n! w% o7 k6 X7 V, r                        random life-expectancy-max 5 S/ K4 d) ^- }$ y, _
          set metabolism 1 + random metabolism-up2 ?$ `4 P, x) \  m+ U5 m; r1 `# g8 f
          set wealth metabolism + random 30
/ s  V  o5 G* e& C: r+ K          set vision 1 + random max-vision . T" V& n' U5 l" l, L
end# f/ |  Z# p! F, a# G1 E8 o+ a0 Q
to redistribution0 x! S$ U5 m" u% W
let max-wealth max [wealth] of turtles
' s7 u& @$ {! q# q; W* h! l& h8 U+ jlet min-wealth min [wealth] of turtles
9 Z6 k; ?. R" B$ ^1 m  Jif (wealth <= max-wealth / 3)* Z- j5 v2 ~& V2 [, l- Q
[set wealth  wealth + Low-income-protection ]6 q8 }0 s2 o# _% ~) E4 d
end
( [9 n' h9 j$ y( Y& p5 D* V4 h6 ~          # ?& g% `4 H5 u$ [% c. x7 Y
to recolor-turtles
$ j9 ?/ G4 u8 U0 O7 e  let max-wealth max [wealth] of turtles
& v0 x2 }' {; g  X* v# T  ask turtles
$ z6 W! V, Y" }( E3 x- D" `   [ ifelse (wealth <= max-wealth / 3)
  b  G, M9 A4 |# }3 T. e' e# }        [ set color red ]
2 T5 h4 }; ]7 d9 G        [ ifelse (wealth <= (max-wealth * 2 / 3))9 N# `; P: }! ^4 f5 y, r: U0 B
            [ set color yellow ]
# X0 @3 g( [5 [& k0 Z7 q; N            [ set color green ] ] ]
+ y: q9 a0 s. g+ _( O+ R ask turtles [ifelse show-wealth?
/ i+ S3 ^+ L! Z; B  ~, n% b, K    [ set label wealth ]
! o+ x% k/ v0 [" i  s    [ set label "" ]]
! y$ F  U! s% Iend" C2 u" Y5 n8 W; I  U. q, J9 A, i4 }
/ u/ E5 f2 k) q4 D3 }. s5 ?
to go
  W- v* H  x7 d. E- a# I  ask turtles
6 }- a+ n) j* Z7 K, [  O8 S    [ turn-towards-grain ]  9 a( W$ w( K2 \7 j- N  ]0 R
  harvest
2 t0 r' s3 j. @- Y# T: b- A  ask turtles
8 }1 q- C0 ]6 L9 I- {    [ move-eat-age-die ]* Z0 y" G- d! r0 ^; z9 W* E
  recolor-turtles& x1 h" t( H" E0 F" q
  if ticks mod grain-growth-interval = 0
1 d+ v7 l( n( ?    [ ask patches [ grow-grain ] ]
# T8 ~$ g8 P- r7 \: i  }/ r9 Z. ?   : K$ v$ |+ [5 ^8 i3 r
  if ticks mod 11 = 02 Q' E* G, Z$ @5 r, L1 y: ~3 K
  [ask turtles4 O/ Z4 R' X# a
  [ redistribution ]]
# J  k8 J: K& R$ j1 q  if ticks mod 5 = 0
+ d& m, l3 f1 S3 F/ t" g. j9 A   [ask turtles) s( }* y5 F8 i
  [ visions ]]
- X7 {* Q5 a7 l& M; Z; }6 c/ ^+ c  tick; p# V% q+ U6 e: X0 e' d1 a
  update-plots
' ~" P  \9 J1 v+ U' xend+ C' o' v: L" O5 B0 Y8 l
to visions+ m% k7 f3 e4 t
set vision vision + 1 2 O$ ?9 I1 l5 ^2 N& d7 c
end& _4 |* O0 ~- v" y6 f. F

4 y8 e6 J( Z2 L' H4 l7 h& I$ L$ f" L% V' A" l' Z

' B' e$ C5 a# ~% \* ^to turn-towards-grain  ' s( L- Z( [' c+ k1 W
  set heading 05 i( F3 f  A$ I, a  Y
  let best-direction 0
  V4 q. h6 r6 y0 @  R) {) m  let best-amount grain-ahead2 l: v( {) n4 R8 k# r6 L& ~) H/ O
  set heading 90& W! u0 j7 g) J2 @# X
  if (grain-ahead > best-amount)
) O8 F( ~3 T6 @" I1 h- t% Q    [ set best-direction 90
' W) r" b- A, X2 a" |      set best-amount grain-ahead ]
" Q  y8 }( G% j* A1 `7 y  set heading 1803 a+ I5 W5 P- c* O
  if (grain-ahead > best-amount)( D2 G3 O  r  a! @- E
    [ set best-direction 180
- @! u% V9 O6 M. @+ e7 W      set best-amount grain-ahead ]5 o) ^( r, O4 _* ?5 ~8 o* K
  set heading 270
! c% L8 p/ X6 ^+ N: R  if (grain-ahead > best-amount)
7 d7 r6 t/ y7 L( y" H3 O1 r0 ?4 T    [ set best-direction 270
2 l1 H8 ^. {. C' d+ H      set best-amount grain-ahead ]
* |( D0 O0 J( v/ z) U  set heading best-direction
; E' Q8 o6 Y; K  Z) w. F2 {end
8 `, h0 h( _- V- G1 L
+ d. q$ {6 l& y5 C2 c
* h& j" `/ b, Wto-report grain-ahead  5 ^! P, ]4 q) T
  let total 0
9 n6 u+ @# S2 |  let how-far 1
5 {0 B' A% y* s8 c& m0 X; g  repeat vision; _! Z; W' D( C% e% H" o# L
    [ set total total + [grain-here] of patch-ahead how-far' h+ R  H1 t% I
      set how-far how-far + 1 ]
. j% U1 W/ E. l  report total
2 r1 \$ C5 N3 gend
# T2 M. C0 Q$ {$ X$ o! o9 p: ~/ n/ H/ v, U
to grow-grain
7 W( }1 B0 V. K3 H2 w/ p9 E. W; Q  if (grain-here < max-grain-here)
; W4 I5 @, F/ v# [% f) j    [ set grain-here grain-here + num-grain-grown- L+ i2 [" Q2 i0 [" i6 X0 F
      if (grain-here > max-grain-here) " Z" @4 \. s, y- c2 F' }
        [ set grain-here max-grain-here ]. f5 j- r$ U% h3 b& [7 {) G# d
      recolor-patch ]
& Y6 T- p9 z# Z$ cend
. a& r7 \- L+ A; {to harvest
6 V! f2 h3 A" t; R  ask turtles
8 t4 a* n6 t$ c. b, m2 q4 V$ R  }    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]/ M& C% f, G6 P' a8 Z
  ask turtles) y" C9 Y9 f# ^! A4 d
    [ set grain-here 0% P! k  Z3 `" x" ]
      recolor-patch ]
. E8 l! i5 `, `  
5 q* p3 p( A! \end
3 B: n: ]& m# c# R% t
* _/ F/ Z- h" `9 j- Yto move-eat-age-die  " k" K4 s& ~0 k+ B8 [
  fd 1
. U; L. I0 M4 s, o  set wealth (wealth - metabolism)3 v5 S, e7 F( }( B$ Q! o
    set age (age + 1)7 y6 I! R' N8 s+ c, O& W
  if (age >= life-expectancy)
' _2 d1 W8 L$ m* N    [ set-initial-turtle-vars-age ]0 N4 X6 q- @  [
  if (wealth < 0)
; Q* Q$ y% I- c( d" P    [ set-initial-turtle-vars-wealth ]
( L% {, {2 M: h" N/ I    3 b" r: s1 o, l! |2 i% k  x  {) v0 @
end) O/ M3 b4 M- ]! L

1 ?$ I$ C& b" o# a4 S& N. d: A) R# b+ H' i2 T. I! G1 {! F7 v1 O. d
to setup-plots
' P, t7 Y0 q- d0 t. S( Z  set-current-plot "Class Plot"1 ]: ?  h9 R$ \# n. F5 Y
  set-plot-y-range 0 num-people0 }+ b( {/ Y. V# A/ h2 a, F- I
  set-current-plot "Class Histogram"( y' D/ ^0 i7 @
  set-plot-y-range 0 num-people
: `- q0 n- \5 v7 a1 Zend
1 @! G. |% E( Q+ Y% G$ H7 {0 O
" c  z# {, {9 M2 `to update-plots
  P( t# x! [: u8 ^3 t6 V" r; T7 g& p  update-class-plot
5 b; L! t2 j6 h; a9 s# H  update-class-histogram
2 t, q( ~% _7 K  X$ V( K  \, B  update-lorenz-and-gini-plots
  L0 K4 x1 w1 P; Nend
- }6 h+ {; r% e+ ~2 U9 P& X1 i5 [, {$ d0 p7 m% M
to update-class-plot
8 p, M; v# A+ l- ^$ @  set-current-plot "Class Plot"; D4 ~% H2 B8 i0 }+ {" h0 s0 K
  set-current-plot-pen "low"
% i* w+ ~( V2 S  plot count turtles with [color = red]6 Z0 U( q% z( O# G
  set-current-plot-pen "mid"  k) ^% H% @  m* ~  t& a; j
  plot count turtles with [color = yellow]
9 O$ T) g, t' x0 p* {7 a  set-current-plot-pen "up"* g: {+ A2 c( \- n% e! @
  plot count turtles with [color = green]
; V4 ?3 V* [7 Q" [7 E. D' Uend
1 Y- E& B& m" D0 }2 K7 k& ^" V% C5 V. V7 E4 T- B: i
to update-class-histogram
7 z% _' K: A. a! O. Z2 H  set-current-plot "Class Histogram", F* Y. p& e' q. W
  plot-pen-reset- |: r+ ]; e/ Y2 t& m
  set-plot-pen-color red
% M" P* k2 {" {2 |' p# u) q  plot count turtles with [color = red]
. K( B4 [- y. l* p6 ?5 \  set-plot-pen-color yellow$ v  Z- X& f# `$ c
  plot count turtles with [color = yellow]
. a9 _) m5 Z) r) |3 e7 H+ _& }6 R  set-plot-pen-color green
$ y% H7 }* V7 V! D. x  plot count turtles with [color = green]
9 C; y) Z" p2 @& z' O2 n$ mend
1 v; b' F# _! Zto update-lorenz-and-gini-plots
1 S# ]2 [1 V; u. `* v9 n; g: T  set-current-plot "Lorenz Curve"6 k0 q( X1 g; D% V/ L& a
  clear-plot
% T! U8 k5 S: ~
' D7 V8 M2 t) k, Z1 Y: z3 A5 X  set-current-plot-pen "equal"2 g9 y0 I  i# g: {( k
  plot 0: A3 n, b# u- D; c3 i
  plot 100
. `' j- c! \! r! n1 j; t) N
; Z8 z; @0 i& o3 x& ~* X. _  set-current-plot-pen "lorenz"
/ o4 h  {9 E0 C  set-plot-pen-interval 100 / num-people
0 Z- Z; o- g* o7 E, D6 K) \6 S  plot 0
8 Y5 @5 P! F' T" X" o7 }6 Z% [3 C9 e
  let sorted-wealths sort [wealth] of turtles
1 n% M$ P4 s# T  let total-wealth sum sorted-wealths& z( ^/ G$ ]  n$ u
  let wealth-sum-so-far 03 q7 c. n: f* R# B% ^
  let index 0; W  o& k7 [* y; q
  let gini-index-reserve 0" Z% G% G9 y, @% l2 p" T. N3 A

3 o. H1 L4 \; F; t8 I; ]; D  repeat num-people [
1 i& \$ ]# {) Z7 B  V    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
* x0 y% ?1 {* B# c) t# j% \8 o% f    plot (wealth-sum-so-far / total-wealth) * 1005 x. r* [% a9 S. P( w2 P. U% w
    set index (index + 1)
- E  ^- _- {9 |5 ^4 Z: Y    set gini-index-reserve
5 f) \0 b, u& I2 R$ X7 n3 Q      gini-index-reserve +
$ E$ n/ j4 j3 T      (index / num-people) -
, M5 V% l* [" B0 m6 M3 R; [6 p# h      (wealth-sum-so-far / total-wealth)
1 A/ U7 F  ?/ ^* f  ]  w# n8 Z7 r, T( p9 x7 z8 N

' B4 n7 V( R: x  set-current-plot "Gini-Index v. Time"
4 e( [+ I# s# I  K3 }  plot (gini-index-reserve / num-people) / area-of-equality-triangle1 Q* @9 s" w# Y6 w
end
( K3 B; a( m8 R5 [4 f6 q) Oto-report area-of-equality-triangle7 S; ^( s0 K5 A( Z1 e
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
) q% Z" ^% M& u- s' w# zend
 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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