设为首页收藏本站

最大的系统仿真与系统优化公益交流社区

 找回密码
 注册

QQ登录

只需一步,快速开始

查看: 7678|回复: 1

[悬赏] 求教:海龟的遗产传递问题

[复制链接]
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
; u7 I; t# O3 Q4 I5 Q; R# Kglobals
) \( \1 Q4 {7 B2 @2 v- A) t/ Y; [- I[3 S5 t0 z. J5 p# h
  max-grain    8 J" f0 R) f9 P* t, A8 s, R# l
/ y4 o# p( \- \9 M
]- T' `$ g, K4 V  X, A0 R

( Z. G8 ~& I% D- l: xpatches-own  j  u9 |' M( p0 W/ I
[
  K! P! \  Z9 T- _3 ?  grain-here      - k8 X3 W# B0 j7 ^
  max-grain-here  ! f7 P9 ]2 }* {+ h6 L+ ^+ `3 B: j
]% E7 m' B8 H+ O. s$ ^0 A$ t

* [/ e! n, N9 V1 t# U3 I* [turtles-own
8 k* U: P6 H8 C9 z5 d9 s" M[' h& i( D8 a3 J) `  M- O2 P, s
  age              - p* f: I6 P  U$ `
  wealth         
0 F' Y: Q: g2 g3 i+ S  life-expectancy  
( j1 @: w! n3 e) `  metabolism       # Y5 ^; W. N, f' A: v) D. {8 G
  vision" ~0 S$ s5 e8 F2 p$ y9 j' u  D- x
  inherited         
* K3 z+ {* A5 e0 I' |8 u]" z3 _+ y& w1 S6 d

  S3 p, ?/ a; P. p6 B2 j6 i9 i: b- p+ Z2 U+ `
to setup* U' I5 i  D! B: G
  ca5 w5 @+ S0 c) a0 t* d
  set max-grain 50
5 @6 D8 K& ]5 L/ b  setup-patches
6 g0 L8 q. P! G# T# z  setup-turtles+ j8 b0 w! S( M
  setup-plots
7 Z# w( ~6 ~9 N1 a' D3 I  update-plots
4 j6 R9 n/ U  i1 T6 kend8 ~" M4 o- h# C! ^; r
to setup-patches5 X" v" Z' K+ I( s* z+ M8 [& H
  ask patches
4 Z5 l" \9 {" I( ~0 Z    [ set max-grain-here 0
+ x! A& |3 @% R- X2 a      if (random-float 100.0) <= percent-best-land$ s1 \, g" {/ R# Q5 o( ~
        [ set max-grain-here max-grain
) R1 w+ E8 [9 |* \" s1 Y% W          set grain-here max-grain-here ] ]$ T! k( x/ |- G1 `: H& O) ]
  repeat 5
% Y1 Q3 t9 L5 ~: m* }+ n    [ ask patches with [max-grain-here != 0]
; i/ i$ V. h; O) c' \        [ set grain-here max-grain-here ]9 K, |6 K- n8 G$ ^
      diffuse grain-here 0.5 ]0 l9 n( C$ p8 v2 d) B2 d1 T
  repeat 10+ [3 |, |4 r, N8 E: [% j! [9 ?. `
    [ diffuse grain-here 0.5]          6 ^% w% n+ G! J$ d0 d6 N* M
  ask patches) d3 y. i) u- C: r: c& X. ~
    [ set grain-here floor grain-here    3 u1 n( P$ g% l, E5 t9 ~4 a, ?
      set max-grain-here grain-here      
0 v" c# z, {6 I, J6 E% J3 r6 n0 Z      recolor-patch ]& {( G0 f8 z+ q2 m% Y
end$ _% b8 r' _3 t
to recolor-patch  . a" d' ?$ a5 J6 P4 ?6 F. x
  set pcolor scale-color sky grain-here 0 max-grain
. F; }6 V: ]' d1 Yend
) R; A6 I8 a$ b; h) ~) lto setup-turtles
/ }6 O: l- A) a2 @) a  set-default-shape turtles "person", L% f) E' A' ^9 r  C5 R8 k7 P* f
  crt num-people1 e5 m3 z4 k9 Y/ E
    [ move-to one-of patches  & f0 l. l& l/ }+ v+ @( E) @3 o
      set size 1.5  
1 b8 h" g6 O' L& g      set-initial-turtle-vars-age
5 r6 g& D5 C( ~# l9 B      set-initial-turtle-vars-wealth
; c0 E) q# l% s( K5 W      set age random life-expectancy ]
+ z1 w! J+ ~1 V, H7 I  recolor-turtles
- u7 T3 p+ R( Y& r' Uend: i5 w1 K" Z5 k' O

+ d. `5 l* f4 K% B: K1 c7 V  dto set-initial-turtle-vars-age+ z3 W( g5 U% d7 _$ i* e* c( J( @
let max-wealth max [wealth] of turtles! R; V- B" I4 t1 P: t0 ]' L1 F
   
+ f% `4 ^' C% J4 G# `- w     ifelse (wealth <= max-wealth / 3)2 `8 d) c2 V( t5 K' a  P
        [ set color red
0 [3 k; D) b7 K          set age 0
. B3 N7 @" h" A* K$ a7 \& q9 @% |2 x. I          face one-of neighbors4
$ _$ S$ A3 J* i2 `( ]          set life-expectancy life-expectancy-min +& `! a3 }4 g7 [: E# D' ?: Q
                        random life-expectancy-max
' C$ j9 d7 O3 `* W+ y! W, Y  T          set metabolism random 1 + metabolism-low
2 o8 K( Q7 B% w* c8 }9 u/ ^          set wealth metabolism + random 305 k9 A# G- a5 D4 [. E1 \# z2 @
          set vision 1 + random max-vision
* K% k/ H; r' Y7 Z3 V( Q5 s/ }             set wealth  wealth +  Wealth-inherited-low ]
% j) x) I1 I. ]9 ]( Q3 J        [ ifelse (wealth <= (max-wealth * 2 / 3))
+ z" T7 e) Z1 x& D( T5 ?, {            [ set color yellow ) C2 H# T" f4 x; |/ L
              set age 0
, S* C$ g3 Q5 G5 F/ s1 B6 ^" A6 ~              face one-of neighbors4
' A) |- Q2 ~  c              set life-expectancy life-expectancy-min +
3 ?. L2 m) C( C                        random life-expectancy-max + 1
1 D0 M% r) n6 p4 \) `% I6 o              set metabolism  1 + random metabolism-mid, S% B$ z" X8 e; s$ g# d
              set wealth metabolism + random 30
; w. a# q# {+ l  ?+ G              set vision 3 + random max-vision( U" }8 w. i+ \
                set wealth  wealth + Wealth-inherited-mid]4 F- x! r* [! f. R' a
            [ set color green # Y; C0 |0 Q- s) V8 d* l8 u" M
              set age 06 T8 v# ~: C- w5 b. m* h/ ]
              face one-of neighbors4 ' `) L, ^: S; D: _
              set life-expectancy life-expectancy-min +3 ^$ E1 e- l' f. Y  R: v2 q& h5 d
                        random life-expectancy-max  + 2
) C. D' y2 l0 \7 E' ?4 ]              set metabolism 2 + random metabolism-up4 V+ n# y9 z  t$ m8 @8 l, ]
              set wealth metabolism + random 30
/ O  e: f" d/ d( H  S" ?+ H  R8 S              set vision 3 + random max-vision. ^  y* q: P/ ?5 j. Z/ g
              set wealth  wealth + Wealth-inherited-up ] ] & }8 ?+ x8 [4 H4 G1 H! a( b
6 Y# f. S/ W$ O2 U4 R
end4 [% @; G/ N+ C! i. F! I
to set-initial-turtle-vars-wealth, b, h8 u/ Z* Z% d
let max-wealth max [wealth] of turtles' a3 j+ k! U, B
          set age 0. f( Q, @7 w: z; ]
          face one-of neighbors4
+ B4 q, q4 O: r4 U          set life-expectancy life-expectancy-min +& L( E: M# D% |( o" |* K
                        random life-expectancy-max ' X1 N; [# w; C0 Z0 `
          set metabolism 1 + random metabolism-up' o5 T/ Q$ l1 v8 Q
          set wealth metabolism + random 30% v  s6 a% F: E
          set vision 1 + random max-vision : g. r& t" E0 V! O+ V
end
& L: y4 g9 h6 z/ t9 S& y% Z7 T+ Sto redistribution. K9 c1 V/ a# _1 L8 F6 r' D2 c
let max-wealth max [wealth] of turtles: b1 f7 p3 d* N9 X& _% Q' x
let min-wealth min [wealth] of turtles9 [- N" Z8 W1 q- @: u, v+ F' ^
if (wealth <= max-wealth / 3)
1 q, M; r* Q0 C [set wealth  wealth + Low-income-protection ]
5 ?) Z' \8 J. v" |end
. }6 q) b8 \5 _  Y0 P          5 P& `5 `( ]2 t1 K$ z2 A  s; A( M
to recolor-turtles  {! m4 D. P. `* C. s; S5 r4 k) Y/ d
  let max-wealth max [wealth] of turtles2 m# ~" y8 ]% M' ^' L
  ask turtles
/ E3 i  X) R  q3 h+ \   [ ifelse (wealth <= max-wealth / 3)& H3 l6 V( c  K' d' X
        [ set color red ]
) V; L0 d$ {; p3 d% B        [ ifelse (wealth <= (max-wealth * 2 / 3))
! J# ?/ g2 I/ q- t# _7 \' A& u            [ set color yellow ]2 t* I/ p, Q- Y- Z$ c
            [ set color green ] ] ]
* K9 b7 S" C3 J' ?$ x) W ask turtles [ifelse show-wealth?
! W. L7 z2 k" M; @2 L    [ set label wealth ], k: ]& ^4 o' }6 B: G1 K0 g
    [ set label "" ]]
1 [7 @1 R; j& v, Bend
4 b/ D2 |" H  @+ }% w$ O, T9 n1 ]% R; S/ `) ?% G; G; _8 t- S
to go3 G; H8 `- u- k& I5 y) V+ a
  ask turtles) |7 R2 V. ]2 @. b* a, ?: [
    [ turn-towards-grain ]  
- V# h, ?. u; A1 D& ]2 Q9 J  harvest
  E, k: n3 q% d+ T  ask turtles
- `" ?  X6 i4 v0 R    [ move-eat-age-die ]
; B* _, S  n7 k  recolor-turtles
/ p, M& W# R1 ?6 K  if ticks mod grain-growth-interval = 0" b- Z0 ^( q3 ?
    [ ask patches [ grow-grain ] ]
& b) T( I3 d/ ^: X9 C4 W   
4 m8 t$ n2 d( S  if ticks mod 11 = 03 o: r  E1 J6 S1 ~; d; Q* m
  [ask turtles5 D- Y8 O4 Z8 M$ K) _# B
  [ redistribution ]]
( D2 T; f4 Z2 m$ d3 c* G  w. X  if ticks mod 5 = 0
, v& E* @0 E# t& j7 T- z$ d   [ask turtles7 d: T3 g. ?/ L
  [ visions ]]
, N1 J- h, H( X7 p  tick( H" `4 x: a$ G. k: @; ~9 {
  update-plots
8 `+ \; `7 N7 ~6 P/ n. K4 cend
; |: g( n- }1 _( [) k8 K* ^  @to visions
1 J, \9 q; F4 p* c9 D set vision vision + 1
& Z. f1 j7 t& n9 Q3 Qend& k8 ?9 m  D% s5 i

7 {# z6 k# ^+ h7 {/ y" Y3 n! N* M2 P( j
4 J1 s5 U7 F4 U6 m
to turn-towards-grain  
( _" ~( l+ E  l6 m- ]6 V1 h  set heading 0& {3 r2 q1 g$ }7 B# Q+ `
  let best-direction 0+ q; L6 }# W+ D
  let best-amount grain-ahead
: u) T/ S0 z. k) Y! R  set heading 90; |* C% K& l4 j' [4 A
  if (grain-ahead > best-amount); b8 _" O4 I4 g8 e+ e
    [ set best-direction 90
  L, q+ }5 Y( v( N0 \. ]/ x/ t      set best-amount grain-ahead ]
" {- L5 r+ p' P& o  set heading 180
) L3 i# l" L! b1 z  f" v! w  if (grain-ahead > best-amount)) X! ]$ E  A+ \% e+ F/ a
    [ set best-direction 180  }3 l; k2 r2 ^* F
      set best-amount grain-ahead ]
& q# S" u5 V" h0 U. L  set heading 270- [2 f$ V& c2 s9 y- J4 h
  if (grain-ahead > best-amount)
# F' H. ~1 Q1 W    [ set best-direction 270
# U( J* Z) `7 X& O5 H; w# b      set best-amount grain-ahead ]
2 ]! [+ J4 a% U6 w2 u  set heading best-direction
8 U- \4 n4 L$ k5 g2 O; zend  H3 |: q$ @" j, p( D) b

1 w& o  c; E0 \5 p( z+ h( n  D6 i* Z. N* b
to-report grain-ahead  
; R; r5 l3 V& K4 s' g* j  let total 0
& c& r& o# g6 A8 Z3 l: W  let how-far 1
  q' e+ f) i6 {/ Y$ q  repeat vision# t! }# S/ Y+ W2 w/ f
    [ set total total + [grain-here] of patch-ahead how-far0 U' w* h; `0 I% ?- @4 p( H# K
      set how-far how-far + 1 ]3 y, L# W) J8 i  E1 u
  report total' e2 v+ A  ?, _, [0 h& A
end
) [" c6 Q; v, ^  m6 M% v
  ?' ]+ q; ~( n6 T, h* Q" p7 vto grow-grain 3 f$ n! D/ g# [% F4 w1 ^1 m9 B
  if (grain-here < max-grain-here)- V# D9 w! R7 J0 A$ S, _) j2 v
    [ set grain-here grain-here + num-grain-grown9 H( _7 v2 Y2 h5 E
      if (grain-here > max-grain-here)
9 L9 q# f6 q0 o% O7 W2 B3 G8 X        [ set grain-here max-grain-here ]
5 b; c. V; C. r& Y4 Z! z7 n      recolor-patch ]
" C# J, X; Y: \) Q- E" C9 oend
% X6 \( R$ e4 l3 S" ?) C3 rto harvest8 P1 z) n5 x# q) M( ~
  ask turtles
  j+ Q. t# z( E6 m1 _    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]4 f! y9 n) O0 P9 K  Y
  ask turtles( s* k1 D0 e; f
    [ set grain-here 02 V2 z0 o2 ?! J& G" Z& N3 q; E
      recolor-patch ]- i+ U/ w# R3 K! T
  
/ T% M0 N3 a0 ^0 r/ Q8 i; j2 I9 Send
% i- e) c' ]0 y7 i9 u+ s8 I2 b+ b0 p6 [  ?' z' }; f
to move-eat-age-die  
% c8 a% v% e/ a. y$ Q  fd 1
% U( ~6 f$ _4 F" v4 m  set wealth (wealth - metabolism)9 u) |( n2 r4 \
    set age (age + 1)
8 p& G1 v1 D' q' F! f9 K# H& p  if (age >= life-expectancy)
1 A- ]+ M  `& q# t5 }" L    [ set-initial-turtle-vars-age ]7 U) I; c  }- w% S' U+ m2 {7 }
  if (wealth < 0)" ~( w) I1 X* t. o+ {4 X9 R
    [ set-initial-turtle-vars-wealth ]
6 y0 _" Y4 K0 u  V) c4 n, V" k    ! @  O( O- j) `: H" x  e
end
3 N% \  t7 L8 Q* m. ]: s" L( j
# r- Q0 Z" w9 c3 W
* t0 ^0 |/ ~# Kto setup-plots' i. l6 i) t2 f. j$ I4 s" r* q
  set-current-plot "Class Plot"3 R, O6 b5 G& a
  set-plot-y-range 0 num-people+ ]1 v1 ?8 g- `' \2 H& r( b/ o( L
  set-current-plot "Class Histogram"
% ^; \. g' K$ p$ h0 ~  set-plot-y-range 0 num-people
/ H8 f* O5 y$ E. tend% W2 j6 u9 v9 ?! `! m8 \

/ Z. w; `2 T  f" Uto update-plots) V. K) i% [9 J0 V5 N8 t" u+ T( o
  update-class-plot
# D+ x) t% k& S$ d" e$ d2 W7 ?  update-class-histogram# h/ R' V! B. |( y( ]
  update-lorenz-and-gini-plots3 j& w4 _7 D( p* a- E6 U
end
* C% m% J3 J7 z; A- O
6 ^: X7 k) f0 m! h. a" Ato update-class-plot. F* r* b& M% J5 S( c: }
  set-current-plot "Class Plot"- W3 }3 |# d6 n  D) \/ e9 l
  set-current-plot-pen "low"
7 i) E9 T5 U  N( s; a% _) O8 ^  plot count turtles with [color = red]
8 N# s( R4 J' z# F1 Q, M  set-current-plot-pen "mid"$ l0 J6 Q, r3 V# y. `
  plot count turtles with [color = yellow]
* I) w: a! n+ |1 ^, G  set-current-plot-pen "up"( g9 h3 O8 c; u% s
  plot count turtles with [color = green]! m3 C6 r& Y* H& ]% @4 ^  d
end- g: ?# ^1 m0 D; S
* @! i4 h. j" X3 w3 l5 V7 o6 |9 q
to update-class-histogram
. X$ x0 G$ n$ Z  _  o  set-current-plot "Class Histogram"
" C) J* [, H! x$ ?: h  plot-pen-reset
& ~- V$ H0 D# Q  `+ P  set-plot-pen-color red
3 H# y2 I/ M5 B# P5 m& n) T  o! t. [6 p  x  plot count turtles with [color = red]- \$ U% }* }7 ~
  set-plot-pen-color yellow3 b$ N( H( G0 `# b' H% I2 r
  plot count turtles with [color = yellow]  \8 [" z1 z2 _/ y
  set-plot-pen-color green! k1 l. B$ T& A' a2 c2 o6 e
  plot count turtles with [color = green]
3 }6 \- y6 C3 v/ A! Pend
+ w# y2 i7 G$ B5 R% v: Z7 V* `1 uto update-lorenz-and-gini-plots. L$ D/ H( y6 H8 K( T, W
  set-current-plot "Lorenz Curve"
0 i+ e- _# J/ a8 w. u  clear-plot: w6 a: v5 D% k! k4 a
9 A1 Y! [; M9 Y: `6 s6 v" A2 [/ Q
  set-current-plot-pen "equal"
9 b* q) m0 O5 {1 Z; I. X  plot 0* e- D$ n+ a+ v, x8 r2 c4 N
  plot 100( ?6 P+ M% T0 M6 _2 Z7 G1 D

+ u. _7 \6 j4 B8 P3 q; i" Q1 e  D: P9 h  set-current-plot-pen "lorenz"( D" g7 J: o. B* K) q
  set-plot-pen-interval 100 / num-people
  ?& M  X0 N2 H5 B4 O, r  plot 0' u9 `$ p0 C2 T! Q% i4 {) H! f

% U+ h5 t# P' b  let sorted-wealths sort [wealth] of turtles
+ \2 l  |" o3 }# s  let total-wealth sum sorted-wealths
& `! |+ S, Z( D; L9 S( X2 y  let wealth-sum-so-far 0
( ^2 m& h) w3 r: @2 q) z% K4 F  let index 0
4 q4 Y7 O4 V6 t0 b) C  let gini-index-reserve 0
/ J) J; K- a. ^; o5 i9 Q, E& I
" J# ]2 |* |1 E4 v, H: X  repeat num-people [( a7 k7 i- A* z& R+ G
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)5 f& \' Q8 f1 M2 G" B; z" Q) e
    plot (wealth-sum-so-far / total-wealth) * 100
/ e$ M3 w, T$ [) p7 Q    set index (index + 1). [7 _8 M3 w" X. f' S$ V1 N0 {/ s
    set gini-index-reserve
5 C, j7 a5 L* @, M2 [* z- o      gini-index-reserve +
( ^, x4 ?  u% t      (index / num-people) -
1 r. t; s3 ]7 A! s" M/ `  M: j! o      (wealth-sum-so-far / total-wealth)' J: ]3 X" @% M4 H$ h
  ]
  D1 f- |: e& t3 g, E9 N) B
. N, B5 S4 Z' q) A# _  set-current-plot "Gini-Index v. Time"% |1 M! M$ e1 O4 s& N: o0 o+ \
  plot (gini-index-reserve / num-people) / area-of-equality-triangle2 V6 Q( P' J  T' R, C: r
end( i) x0 a, m) Y# ]: B/ q- h! G" R3 n
to-report area-of-equality-triangle! b. Y2 K1 e& Y, _
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
+ x3 B! I* K+ M5 c2 wend
 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
您需要登录后才可以回帖 登录 | 注册

本版积分规则

QQ|Archiver|手机版|SimulWay 道于仿真   

GMT+8, 2026-3-3 20:40 , Processed in 0.019294 second(s), 15 queries .

Powered by Discuz! X3.4 Licensed

© 2001-2017 Comsenz Inc.

快速回复 返回顶部 返回列表