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楼主 |
发表于 2008-3-18 13:10:54
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你好,这是我现在正在写着的程序,以上问题就在其中,请多指教$ A( g1 O$ l) N# g
globals[
+ k' h9 ~ u/ L- j( ixmax: P$ t4 c) i2 ^$ m. N$ O
ymax
# W& ?3 b! ]$ _* Xglobal-reputation-list! V2 Y1 Q, b8 {+ {: k2 s/ p
' c5 u) q5 a0 [6 \& h# f;;每一个turtle的全局声誉都存在此LIST中
: ^, o% @& B' ]2 C8 P- ocredibility-list
/ q. l5 g6 \1 G7 ?' H;;每一个turtle的评价可信度
/ w+ N/ k- A9 F; z6 R% S _honest-service* @9 J$ z9 ]8 y7 O: D
unhonest-service
9 A5 f5 k3 N% \: @# H* q6 Qoscillation
6 v! s S0 N$ Orand-dynamic
5 K3 Z5 U* N5 i( y* z; q]
3 j o5 i) Z" m2 z+ G! H. U! p F! M9 X3 M7 x+ t' \1 Q i
turtles-own[8 U( b O c& @ r7 i3 O% W( N
trade-record-all
# R, _! s5 B: J6 p' T+ O3 C;;a list of lists,由trade-record-one组成
. @- [" H r) r: b/ s" y7 N" [trade-record-one
$ B. q8 M( D6 u% a; l$ E;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
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( q' Z* R. E5 o( }% g;;[对方turtle的编号,交易总次数,交易总金额,[本次交易的时间,交易金额,得到的评价,给出的评价,评价时间,此次交易后相对于对方turtle的局部声誉]]
1 D- u' U @( w3 n" ytrade-record-current;;list,trade-record-one中的这个list,作为暂存用,[本次交易的时间,交易金额,得到的评价,给出的评价,评价时间,此次交易后相对于对方turtle的局部声誉]
7 Z! |( }+ [! y; \& \+ l1 scredibility-receive ;;list,他每个turtle还需要有一个存储其他turtle对其评价质量进行评价的list3 s$ a7 n, ^- b4 G+ @
neighbor-total) B# l! B0 ?$ _: s% c+ Q; }7 {8 @
;;记录该turtle的邻居节点的数目
: B, C& u" s/ t3 ]9 Y( {trade-time
3 j k+ v& h1 ~. Y: X; o/ Z0 _;;当前发生交易的turtle的交易时间% k6 [: N' t+ q9 ], n/ ~& ]" `
appraise-give! O' `4 M" b( l# ^' W3 i
;;当前发生交易时给出的评价# C0 w4 k+ ~; z( u
appraise-receive
% U9 S9 l: Y* ]1 b9 g9 m5 o* Z. U; D;;当前发生交易时收到的评价4 q2 q' O6 v* u/ |
appraise-time
( f" b& Y6 L+ Q) r, u;;当前发生交易时的评价时间
6 R+ ^, C' f+ F F1 M. L1 dlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
( @' v# a7 n6 K2 U9 Q1 ltrade-times-total
\: U& l* L* U;;与当前turtle的交易总次数: ~, n4 i( V4 ~
trade-money-total
$ u1 @9 c, W Z' ?& w;;与当前turtle的交易总金额
$ v2 z7 t* C2 ?1 P' ^- ]local-reputation
( S; f$ N8 C! f0 t) u) @global-reputation U% Q9 J+ u& `* m: V- G
credibility
, F7 c+ [* Q# p7 H& O1 w0 f;;评价可信度,每次交易后都需要更新8 i$ l# W( r6 m$ j
credibility-all
+ m$ y( {: ?$ m;;a list of lists,由credibility-one组成。[[1对j的评价质量的评价][2对j的评价质量的评价]……[i对j的评价质量的评价]……],其中一共有people项,根据
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' J, l8 f: Q: b5 Z;;turtle的编号对号入座,对于其自身的编号,在计算用到的时候再进行剔减,初始值均为0.5/ U1 V2 m P* k, I' V
credibility-one
5 j- k* o z7 |7 C( x$ r;;a list [i对j给1的评价的质量评价,i对j给2的评价的质量评价……],其中一共有people项0 o5 }; _3 v8 R$ f7 D L
global-proportion0 `9 i2 i3 L0 B! ]
customer. I* Q9 O. j8 K' M+ U; K& O
customer-no
; E, t6 [, y9 w' strust-ok
/ [* ?. q" E( m6 |+ B _6 Itrade-record-one-len;;trade-record-one的长度0 f8 D. T! @, M( u# O* ]& V
]
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2 N% y8 T8 {# I3 S; q' q# J" C5 v0 Y;;setup procedure6 L0 W- y/ J5 c. j3 e' P! q1 z, g
' c$ y4 ~* H' }7 pto setup7 \0 L' N! i4 f( Y! F
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ca& h$ c. E, F$ g$ b, g p6 i
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initialize-settings
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. s9 t1 ^6 ^- }9 J& D; M9 ccrt people [setup-turtles]
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reset-timer
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poll-class. j A. t2 c; {0 h$ v
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setup-plots
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do-plots
8 j' K! N# g2 v" O% f6 t+ T5 Rend' C" P" N. O9 v2 k7 n J& t
8 s4 Z% E( w' z [to initialize-settings
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set global-reputation-list []6 e; x1 M4 N' I+ v
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set credibility-list n-values people [0.5]
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+ n+ P# w# A' c8 u- Oset honest-service 0
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% ?- X2 J7 r$ q/ A4 sset unhonest-service 0+ a: [# P9 i) e3 _
4 {! _' H/ r: p' j5 I# U
set oscillation 0) @6 y& V" _* H' o7 R
2 j: |. X4 E7 z- Y& ~/ c+ Yset rand-dynamic 0
5 W% @6 T7 |, v1 ~end
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to setup-turtles
( H4 I! a. i3 R4 oset shape "person"' h4 G: L& b8 O+ B' @
setxy random-xcor random-ycor* M5 Q j) ]- R, |$ N; A+ @, w1 z. I j
set trade-record-one []
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set trade-record-all n-values people [(list (? + 1) 0 0)] ) F3 ?( ~4 S! S& p; [% e0 E! h
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set trade-record-current []4 R$ N1 S- M' \; @- e3 c: F% Y
set credibility-receive [] M/ X* ~0 W( U; C1 }# F
set local-reputation 0.5! l; d7 S+ m' S3 }( [4 r
set neighbor-total 02 B: E k& y# ?% |( n% }
set trade-times-total 0
- W! r! d, s. U) |7 y' N! {6 T$ rset trade-money-total 07 {' [7 G. u( N
set customer nobody
: [0 Z" ^5 l; s- }4 |set credibility-all n-values people [creat-credibility]' v, N. G7 f9 d/ z1 i: V( D
set credibility n-values people [-1]
, a5 `1 h/ u/ A! W8 X% C7 s$ uget-color
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5 a+ h7 V. Z# r0 v+ }1 zend
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0 @+ z& P4 ^8 Z9 t Tto-report creat-credibility- L; W( b; e; p7 o" L; X. V, C
report n-values people [0.5]# a% _* k8 [6 J
end
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to setup-plots
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1 A- {6 e3 ^1 |; n& }3 Gset xmax 30
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set ymax 1.0
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clear-all-plots. [: V% U5 V* h" w0 D$ P
4 ?, \4 u$ | o5 ^: z. A7 a3 psetup-plot1
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3 C) E8 F6 Y# x/ Q Vsetup-plot2
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setup-plot35 J% x! z; H9 A0 h
end
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# C/ C" z, {, ^1 G4 t2 o;;run time procedures
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to go6 w+ Y3 t2 ~5 z. q" X1 O
- S/ N1 F. @0 @! Lask turtles [do-business]$ w, j% `5 c/ ~4 S; o5 b
end0 m3 n+ M: I8 i0 d
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to do-business : p6 ]9 ^: E* T: V
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/ L, [; k) G- o6 Art random 360
Q- A8 Y! m# M
. d: y8 ^3 v' v4 k8 yfd 1
4 Q; `0 `% [( \4 }2 r% }* h J/ B4 D& a7 V
ifelse(other turtles-here != nobody)[2 m! {; o& h) f8 J, x D8 Q
9 g( Y# y( u8 k/ ]! Eset customer one-of other turtles-here" C8 v+ L f+ N d8 g9 Z/ u
' |" }3 h2 G" Y( H y( L;; set [customer] of customer myself
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set [trade-record-one] of self item (([who] of customer) - 1)8 i6 {. c9 V8 u& ^5 v* _
[trade-record-all]of self4 N. L: u g0 B. j
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
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set [trade-record-one] of customer item (([who] of self) - 1)
' ?, _" Z% `( K6 T[trade-record-all]of customer
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4 w" U: O5 m/ r- S' ?" q+ |- wset [trade-record-one-len] of self length [trade-record-one] of self2 g( W2 V. E; u4 h- H" m+ d
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set trade-record-current( list (timer) (random money-upper-limit))
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ask self [do-trust]# N7 D) d1 [8 k+ Q) r! [
;;先求i对j的信任度8 }8 \" d8 I5 S: r& ?' m
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if ([trust-ok] of self)) Z( d! f Z: h* s' }
;;根据i对j的信任度来决定是否与j进行交易[( o" B( h4 }/ y% q* b
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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[. i% y8 S2 M0 K- J4 H$ A
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do-trade
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! h6 s7 r3 I( @: H' Yupdate-credibility-ijl
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& q& R# r; z. f8 Y0 W1 _4 ?update-credibility-list
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update-global-reputation-list0 y7 S4 J+ N" y* b' ~1 N6 I
4 x0 A7 J3 o$ p& A
poll-class
* L1 e+ f( e" p1 \; G& j
$ r8 G% S' {) T1 W2 G! [4 E4 oget-color _# h& c' ?* G0 A1 F
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]]# X' u6 t @$ \, F
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;;如果所得的信任度满足条件,则进行交易
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[* l; a* Y+ H( [1 m/ G6 c; d# j: p
0 ]5 b: ?4 j4 K6 Z1 c4 t0 g! N
rt random 3604 B. }/ c- U% G, H2 C& n
0 [" U+ X ?$ d, E
fd 1% H2 s/ U' |! X3 o% p( j0 h- n
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end
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3 {; n7 y9 ?! k( kto do-trust
4 ?' r: [# x1 ]# z/ w7 J. p: F2 Xset trust-ok False
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. s# o+ ~: S6 B0 o- b$ [let max-trade-times 0
" R' F- r) G- [# U: l' @foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
( x" n; Y7 `& a3 ~- y- M& slet max-trade-money 03 p: E3 Z; _! W; @
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
) J8 k0 \3 c; P6 i1 C- c$ ilet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
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) Z( q7 l; ^8 g6 Z& d3 h+ _4 iget-global-proportion% H0 \+ I T' _$ B3 p3 v
let trust-value
5 K! g3 \ q2 y6 V' Dlocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
9 o* X: ?: c; z% H+ F( Fif(trust-value > trade-trust-value)
# N7 ?0 z' B; O0 o[set trust-ok true]# n# t! d7 d) @% ]1 `% Y
end5 U9 T' `3 u+ }" c: o- g% y
) |# z9 u0 @( f H6 _
to get-global-proportion
1 F5 u# s, s7 T! G& }/ d e' eifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
0 a9 E( u- H2 y* Q% L3 h2 R[set global-proportion 0]- d+ o9 {" k6 B$ M7 i
[let i 0, ?2 |6 [% W9 o, l% {
let sum-money 0. ^& h" j* E9 [* g( v
while[ i < people]
1 U) U1 I( m9 d, u* X4 O[& o/ g# d% M0 F _9 {9 Q6 o
if( length (item i1 F* d- q1 D4 s' d3 s
[trade-record-all] of customer) > 3 ). ]6 z) J" B1 H, ]+ d/ J- m
[" s' Q5 Q7 j9 a
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
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]
2 q( \3 g$ k0 i7 r; flet j 0* B9 y7 q- t1 W4 p' T, m4 F M* u
let note 0
4 @ Y1 U0 j. N( Twhile[ j < people]
4 ?6 ? [/ g3 I9 ^5 T0 a ^4 w[5 b' K2 }5 C) ?0 C
if( length (item i' ~: Y% ]7 M1 F, G' n
[trade-record-all] of customer) > 3 )$ v9 E+ [$ U0 z2 `
[" [% _5 J0 e" ? F3 l
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)4 J, n. ~) F% W2 [3 S) F& E' }1 }
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
, o* d4 r* @* Z[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
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set global-proportion note# }. P1 p- z, d/ W- @
]
( p$ S- H3 z6 I2 L7 [0 U Eend
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to do-trade4 k( B& `. ^. A
;;这个过程实际上是给双方作出评价的过程0 |0 K& { y& }) j
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价( e0 k! ]/ m+ e& [, V
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
" h1 L! h0 E4 R5 j' {set trade-record-current lput(timer) trade-record-current2 q7 M. w* {0 ^5 j% I+ h& S
;;评价时间
! a* d* a7 U* D! P* C) R L( kask myself [
+ F o- V* \$ `/ v+ r; }' bupdate-local-reputation2 k7 Q4 X6 L G7 E/ C
set trade-record-current lput([local-reputation] of myself) trade-record-current
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set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
- g( j* E' c% L1 a0 E( D;;将此次交易的记录加入到trade-record-one中% W5 L5 u# ~& J. k8 Z# w1 t
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
9 P, f8 z5 Z- o8 T, |* Glet note (item 2 trade-record-current )
0 ^1 D5 H/ c! ] b+ `$ h; Wset trade-record-current
: w: `* M* p% n' I(replace-item 2 trade-record-current (item 3 trade-record-current))/ u+ O+ d' S2 L" w8 t1 c
set trade-record-current2 ?8 R- A% X R1 A, q" S y
(replace-item 3 trade-record-current note)
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' S4 [- M Q: c) K+ H) lask customer [" C, m; F- k, g0 z5 W* H
update-local-reputation
! L7 _; Z* ^9 a! Nset trade-record-current
7 }7 k r: L6 [# O" n O(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) / u. n0 `. |3 Y1 s3 g: s# F6 s* `
]1 D+ S, Y3 A& P
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set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer: m: N7 O2 X4 e) {# l- e
5 g+ ^3 H) ]! f4 M. [2 Nset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
# I6 I$ _" a# q) F2 f2 b;;将此次交易的记录加入到customer的trade-record-all中
4 o5 }1 _- D7 g( p3 mend3 z4 t4 s& S6 z" f/ P: e
& d! [- G& a, ~! k" V# ato update-local-reputation+ g* \& \7 P! v) m& O
set [trade-record-one-len] of myself length [trade-record-one] of myself: r a% _' r! L ^ B
7 s+ L: R, Z- ?" }$ j# T0 x0 |& Q0 w8 K5 X: |5 s! A" Q0 x% q6 {$ q( `
;;if [trade-record-one-len] of myself > 3
7 P; Z. q6 f3 e/ [" dupdate-neighbor-total" E$ |) K" B* o0 T7 W- [
;;更新邻居节点的数目,在此进行9 H& i) d/ O2 M! {
let i 3
- Z2 l) O2 R! k, xlet sum-time 0
9 X R; l$ T2 ]% Iwhile[i < [trade-record-one-len] of myself]
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set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
+ N7 ^% H0 v7 j- X# Dset i
" P) H; [/ g2 `, o6 F2 D2 S( i + 1)
5 t1 ]' W% M9 l! R: |, W9 c2 M]
# Q' W _7 F7 K- }6 T @8 klet j 3
+ A6 D9 J" H N5 a$ Y( rlet sum-money 0
" d# o+ F: L. v8 jwhile[j < [trade-record-one-len] of myself], O" K8 ?6 p3 W+ J8 r
[: M- ?) N! {1 c# x
set sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
$ r7 t$ u# e* h5 R$ Y: K! aset j. ^% A- ^ o+ X2 N% l
( j + 1)
[$ {" w4 s. q1 _( D]
9 d) `4 `( \& A) ^let k 36 e( h1 v' E( C S) O
let power 00 W* z1 W) e2 K- y1 A; N
let local 0
9 M$ a; Z, H- ?' g+ I7 e# W5 lwhile [k <[trade-record-one-len] of myself]
5 a7 u6 h: N0 @$ q[
: E3 @8 w5 R! g; y* \: Dset local (local + (item 0 (item k [trade-record-one] of myself)) * (item 1 (item k [trade-record-one] of myself)) * (item 2 (item k [trade-record-one] of myself)) / sum-time / sum-money)
9 w' m! x6 I% H/ N0 I4 Cset k (k + 1), k1 [/ P) R% o# I( P
]
! D' p- [/ `- b" S8 T& R) A R9 Tset [local-reputation] of myself (local)2 X3 W( T, K' K* N4 |, W/ p
end- Q5 g7 I" }* U" @; p9 O5 ` _
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to update-neighbor-total: _7 P7 D( ?. `
4 P ` A( _- ]! n% oif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
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end
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to update-credibility-ijl 0 O6 ]( }& |6 g3 g! C/ ^
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;;思路:每一次,当一个turtle发和另一个turtle成功发生交易作出了评价之后,就去搜索本次交易对象的邻居节点,对这些邻居节点的评价质量作出评价。
$ v, q/ ~+ y h' T+ ]; v, O2 ulet l 0
9 u7 ~8 Q! m, z9 ~( [- I0 h9 swhile[ l < people ]# H8 D1 x1 V* t( n/ w1 p& `
;;对j的邻居节点的trade-record进行扫描,以对j的邻居节点的评价质量进行评价9 V. Y% v. D' y7 w2 o# s
[
' m. L5 o4 [6 m) K; y# r5 z$ G# olet trade-record-one-j-l-len length item l ([trade-record-all] of customer). R2 r+ Z+ M! \! R3 N
if (trade-record-one-j-l-len > 3)6 g4 D. G# f7 Q% b# _9 z% Y
[let trade-record-one-j-l item l ([trade-record-all] of customer);;暂存那个评价质量正在被评价的turtle j的与l的trade-record-one
2 q0 j; u$ r9 u3 Dlet i 3
2 r# w1 l/ K0 J. x Vlet sum-time 0' [- p2 U2 |; m2 T; X! V- u
while[i < trade-record-one-len]
" h& }/ |. Q# ]: H& t: R[
4 T' J* y: ]! o$ | Sset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )0 [" G: m+ R2 j+ e* b+ q) N) g
set i
- |/ |/ o! K s3 \( i + 1)
: n1 Z8 p$ e- c4 x o1 e1 F]. d( A' o) g$ w5 I
let credibility-i-j-l 0
0 g: _* A# a, B: c- y0 E1 S;;i评价(j对jl的评价)
4 n* w L4 d. f8 p( U1 K1 f' Clet j 3% v/ i) Z0 O/ H1 n7 X" i
let k 4
+ C) o3 _9 q% F+ ~3 A+ wwhile[j < trade-record-one-len] j, }' t) ?4 b$ E. B
[
6 s3 t& \7 y+ H |9 E/ W. _while [((item 4(item j [trade-record-one] of myself)) - item 4(item k trade-record-one-j-l)) > 0][set k (k + 1)];;首先要寻找在i第k次给l评价的这一时刻,l相对于j的局部声誉: ^/ u. x) _- _' E% I0 W: x
set credibility-i-j-l ( credibility-i-j-l + (item 4(item j [trade-record-one] of myself)) * (1 - abs ((item 3(item j [trade-record-one] of myself)) - item 5 (item k trade-record-one-j-l) ) )/ sum-time)7 `' h. F4 \# ]0 C; u. K
set j
9 j9 y2 t0 x# z, d0 e( j + 1)& _& u/ C( u/ s
]
# O: N0 ?8 n' M0 I+ C( G, lset [credibility-all] of turtle l (replace-item ([who] of myself - 1)([credibility-all] of turtle l)(replace-item ([who] of customer - 1) (item ([who] of myself - 1) [credibility-all] of turtle l) credibility-i-j-l )) `) v; j- r/ c! m9 J+ {
2 j! y' x. K/ S v/ D
9 O! I$ N) n; c8 ~+ t
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
8 D0 g9 `% j6 e ~. ~3 P;;及时更新i对l的评价质量的评价$ T4 ^0 [* D) ]4 P) {$ ^ e5 o
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
3 q0 c' e5 {1 D- ~set l (l + 1)
0 e$ f; e; l; S3 }]2 T* j6 O4 U: d3 E
end
$ X$ ^3 P7 N$ d' S2 v
( z- X% T( ^& vto update-credibility-list
8 w3 w3 A" s) W) llet i 0
4 S- D1 \' d+ z ~while[i < people]% t+ ]+ v1 N+ N: [0 Y+ y5 v L1 S
[1 ?; N) c2 E- Q3 q5 p) ?# n- {
let j 0) t# |7 v m1 f* s1 r) b& ?$ K
let note 0. n) d5 J9 l0 d0 E/ c3 b
let k 0
7 S# o2 G* ^+ Z1 J" y6 W j;;计作出过评价的邻居节点的数目
! R: H# n+ B& T+ @4 U( |while[j < people]' a- ~) U; m6 Z, b% }" f
[: _ N& F6 z$ ^: s1 R. [* `/ c
if (item j( [credibility] of turtle (i + 1)) != -1)% ^$ Z" v& I' j% s
;;判断是否给本turtle的评价质量做出过评价的节点
8 d* A; Z/ h- k& x. @' v[set note (note + item j ([credibility]of turtle (i + 1)))& {7 L0 S0 I# v* u0 |! [$ J
;;*(exp (-(people - 2)))/(people - 2))]
3 J3 C$ d( w( u- \( L' g! A. cset k (k + 1)
" @. v# v* h6 o: c+ i]) Y" i, `: ^( }6 w4 u2 a* `
set j (j + 1)
. b5 ~ P3 P1 y2 s]
C0 c5 k+ Q$ |7 l3 `set note (note *(exp (- (1 / k)))/ k)
0 T/ Q. d( T" o) e. `set credibility-list (replace-item i credibility-list note)& n p4 k8 X% b: v$ |
set i (i + 1)
0 d& `2 w: S8 c6 M8 x( | o' i]) a" [$ {# v; S( ?
end
$ U' B3 K4 B2 ~2 h1 x' g' J6 H* H( g( u5 J# O! g8 G, h% Q( s+ o
to update-global-reputation-list
3 ^5 _7 T1 ~2 S) flet j 0
( X1 l6 h; G' e; e2 {2 \) X6 ewhile[j < people]+ ]" Z: n, ^2 U
[% V0 ^+ K" t2 L5 h9 _( e- ]
let new 0; m$ a! G) y6 N* y: l# l2 b% z5 H
;;暂存新的一个全局声誉) y) W5 D @) U, ^* K
let i 0
# _) Q5 ]( b! B3 nlet sum-money 0
. X |1 F% l) Z; b5 T* U: Vlet credibility-money 0+ O) o2 m% A6 ]) d
while [i < people]
" n6 X& \6 r! [: }2 N[
1 T' T0 `/ G! a0 Jset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
) v/ T; k9 | u* N" r/ s5 `set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
9 {( j7 A5 \/ N' g6 Sset i (i + 1)
: e, O, [& `; h: w]
. J' V' u6 z; w% u! [let k 0
7 p0 g; Y; C$ D/ G# N2 _) clet new1 0" h/ S4 ^! t" \, ]* D! y
while [k < people]
4 [8 R9 a- W9 y9 t5 T/ a[ l2 P3 \% J9 M9 w- |2 W- D/ p& _
set new1 (new1 + (item k credibility-list)* item 2(item k [trade-record-all] of turtle (j + 1))* (item 5 (last (item k [trade-record-all] of turtle(j + 1)))) / credibility-money)
, p- k! D6 ]1 Tset k (k + 1)$ h9 T6 l! R& d. }% e D9 I1 Z
]
/ U- b( J+ S2 k+ H9 ~set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
6 @, C2 J$ _8 n6 b$ J" |+ k' Z1 tset global-reputation-list (replace-item j global-reputation-list new)
. ~$ x6 n* x! h; L6 Eset j (j + 1)
8 J$ t, w3 b" c]
5 y. s- |6 v: W: u" ^- W' H+ Zend5 q" Y" }2 U. _! i, [4 W4 y
$ k" N; r2 E1 b' X ^3 ?2 o/ j. F' t
6 s+ g: D% Z* U
; [' y5 s8 Y9 Z/ {% F& fto get-color0 P5 ]9 M% z9 D
. O/ d [3 {* `set color blue
% f% A c2 n! Q! G+ A; Nend* o4 Z: M7 _% Q& ^/ H
2 M4 m+ M: [ A- pto poll-class+ ~2 ]: Q S1 ]3 H6 u% Z, n5 O
end& c! [( A5 Y& O% s
7 p# n, k! r+ g
to setup-plot1
! D# h; l. i- z3 @# ?: g0 U1 S u; R' x; B! ]
set-current-plot "Trends-of-Local-reputation"6 _6 q2 d9 t; P- V) N* c1 ^3 R" ?$ }: {
- d3 d- s) o) z: J3 e& aset-plot-x-range 0 xmax8 W- c4 f/ c# B1 V8 _6 x
$ F5 r1 |. |) f/ ~& j. A& W) Yset-plot-y-range 0.0 ymax3 ?- f6 K$ U: n* _ F0 {
end
0 [9 k" D, ^% M4 w2 s% E& d ^+ ^5 Q y1 i6 Z a
to setup-plot2
) T4 T" Z- k$ q2 T" e) |* `& M
0 t) D+ i# O2 a) L+ l+ G/ j$ jset-current-plot "Trends-of-global-reputation" \4 \. K$ S1 S
- r4 U! N4 b: `8 _/ W- Q: `
set-plot-x-range 0 xmax
, g1 Z6 E j: i4 `# [" l
# g; d1 L' c' P$ Z9 Dset-plot-y-range 0.0 ymax0 Z% M+ y6 R _- ]) |/ m& j
end9 X `2 ^8 d k$ w o
: x* ?4 E. F/ W" f3 vto setup-plot3$ |- [5 x$ B7 x4 e. @( N+ I
+ l, U, ~1 Y7 K3 A0 Fset-current-plot "Trends-of-credibility"* h- Z' ~6 }, M4 ?5 `1 n7 N" u+ D
' X" v% `3 K0 ~1 Mset-plot-x-range 0 xmax0 w H4 l" h: w& M5 M/ i5 F
& Q4 P1 p; C7 [- R6 h, iset-plot-y-range 0.0 ymax, k5 C/ L% k8 N/ L
end
4 E$ C1 O+ o; X# r. D1 A9 j9 j9 d' ]7 l0 h$ |
to do-plots( N/ {" _, B( I# _; q" B a! H
set-current-plot "Trends-of-Local-reputation"
' m: t& F2 s% ?. A) \) tset-current-plot-pen "Honest service"6 r' V& S# Q f3 J
end' D" M; H2 B; @# ?+ K( y
; S1 Z+ _5 u$ F4 T8 L
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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