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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
) o+ y0 `! A9 F1 fglobals[
7 [% B" ^+ E N% yxmax. g+ ]6 l8 t* @$ ?$ ]1 p
ymax
6 T9 v$ s, m2 y! o" S" ]global-reputation-list0 @4 w: E0 f$ z! Q
# t1 E2 N3 t" b: M5 b, C/ U;;每一个turtle的全局声誉都存在此LIST中
- @8 H( s/ X: X7 F0 Bcredibility-list( x7 v! }4 X! |$ h. e
;;每一个turtle的评价可信度( S& _) _% X6 m, x, \
honest-service
) S' S" ~' Z5 g/ }" Wunhonest-service3 y! }0 ~6 f& {' g# X4 B, W
oscillation
! }6 q, Q% B9 {* W! l+ }2 a, srand-dynamic( |) _6 R- |& Z7 i/ L
]
( [0 g: \8 I2 t5 |
( a' S8 _8 S: ~& p) j: z3 U i* r; N; Pturtles-own[
, a1 v1 @5 x6 G: \+ k* utrade-record-all6 ~2 E0 _) ~( y; p" m/ @! X
;;a list of lists,由trade-record-one组成7 g* @- |! Q6 q1 K( V* p* Y7 |
trade-record-one
3 v1 [5 J2 N0 [$ I! }2 x: u$ C# g& U;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录& \: B6 ?. g7 K: H8 U- t& t2 B( ^+ V" m
- }3 P0 y) ^- x; T+ l
;;[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]] p% E4 S1 T, {, b
trade-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]. s' S+ D! p9 F2 ~
credibility-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list
! n* Y& I/ w7 m, u$ E1 \neighbor-total) R. R0 k% v& Y" I2 v0 x
;;记录该turtle的邻居节点的数目
4 ]' _; ^$ B) c X6 c) h8 \trade-time! G3 F c8 r# ~0 C9 t) f+ U$ ^
;;当前发生交易的turtle的交易时间
% b M4 L, Q4 \2 I2 ?' z, j$ ^appraise-give
# _) u% \1 L( d+ P1 |! t;;当前发生交易时给出的评价
+ k- S) M( v6 y7 N: B$ Mappraise-receive1 h5 F: m O4 N8 G2 s) |! S
;;当前发生交易时收到的评价7 V5 C9 }+ K- X
appraise-time+ H0 b% i a/ E4 J2 k/ U0 Y
;;当前发生交易时的评价时间
* U5 c9 t+ H4 q. R9 E8 K' ?local-reputation-now;;此次交易后相对于对方turtle的局部声誉: h0 E2 x g0 I* Z
trade-times-total- ~5 E" m4 i' X6 m! t! B
;;与当前turtle的交易总次数& b/ `4 _8 o* f% N0 L
trade-money-total
: b6 k( s0 S$ K4 f;;与当前turtle的交易总金额' K8 q* W5 S/ s* H
local-reputation
8 @/ Y; M2 K, N4 tglobal-reputation* C- j8 @) c: K( _% V
credibility6 i3 d K4 m& y( P ~/ p% K' k7 `/ n
;;评价可信度,每次交易后都需要更新5 H& m6 W( }0 r& @. q
credibility-all: j! y$ Q, N; O D
;;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
% m$ m# E8 L9 m3 e# R7 [ m/ v5 K( I4 s
;;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
& g* r K0 X6 Y. V) ~credibility-one
1 @0 U! |: d) {3 k+ N$ \) g;;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
5 P" g* I1 }4 N7 s2 I9 E3 ]global-proportion {6 O+ P# |& N% A2 P4 N1 w
customer
) ]1 E3 T4 @4 p) x4 b0 T6 hcustomer-no
+ ]% W" d. Z7 k4 S2 vtrust-ok
. U( E: d; x+ z, _trade-record-one-len;;trade-record-one的长度
6 v* T$ ?5 @9 r' Q$ d8 `0 ]! Z]0 c" I) n# p2 S/ i2 Z2 V; v, r
, v& z1 Y# b$ b W3 |/ Q;;setup procedure
4 v0 k E$ E3 g2 D; R& A
) O7 q3 L8 y* D* l6 Rto setup h, n3 c* Y$ b6 J$ C+ f9 b
5 j }* ^5 L q% b3 ?ca
2 ~2 u$ H, L! u" K l
3 g" i* W+ n; h2 C! [% }initialize-settings
8 s' [2 U0 z2 `% O
/ U1 y; ]2 K8 @crt people [setup-turtles]
; T' i0 S; s, [: ^' i3 I5 C8 T; A' L, b. l3 e
reset-timer
9 q# O* Z8 R6 n% S6 r
% Z) I) \6 T& \# k7 ypoll-class6 ^! R. I# V! E5 w h( f8 t8 i8 g! Z$ o
, N% m, w' f& J( u0 h0 l Zsetup-plots
/ C% [7 O- J4 ], c1 Z8 m
0 ?+ {. a" C6 o$ P5 U3 Jdo-plots1 M- @5 X; c5 r( @2 S% n9 S
end
7 Z3 n) }9 z1 N; K+ l$ d
# l7 H9 G. J4 X) sto initialize-settings
3 v. h2 n% g, w
( s# R, B8 X0 W1 E" bset global-reputation-list []
0 g9 @% F/ t' I3 X2 O' @# u7 k. M* ~
* j- m! t- ~+ X. \7 ` E' xset credibility-list n-values people [0.5]8 t, R+ M( ^" @; A+ W
% i Y" [! o7 h9 G) E8 e: Pset honest-service 09 O* w) n7 S9 B* m, n- {1 _5 C
9 k3 j$ ^- t6 i$ L' }; ]3 ~set unhonest-service 0! I; a3 G# K, ]/ q7 {% [; a
9 L2 E( E: ]4 N- k7 t* Qset oscillation 0
" V* v4 K @4 N9 x, H
7 ]" p5 J( k: qset rand-dynamic 05 z9 n4 c. E3 S* X! L* P
end
9 l( l! u; Q8 _
' J+ A' c# M& B" m1 \2 ? ito setup-turtles
- ~ Q' W1 P2 V. `' B+ vset shape "person"+ b* E6 R2 N- e" [9 A, j
setxy random-xcor random-ycor! l' F6 v* S; k g5 a* ~, h& t' @
set trade-record-one [], ^; [& `* @# J( _1 Z
! {6 N5 \* ^" _9 c+ K ?/ b8 g: @+ `7 |
set trade-record-all n-values people [(list (? + 1) 0 0)] 5 b" P) v! @- Y1 ]; H
- L8 j7 ]1 B) q$ Iset trade-record-current []" p( U$ C) `0 s" V
set credibility-receive []! l/ s7 s7 ]7 {$ r, {. w! x
set local-reputation 0.5
@& l" U- g2 r' @3 Cset neighbor-total 07 P5 d$ x4 N3 V
set trade-times-total 09 e7 M6 f2 ~6 p, x- X. D
set trade-money-total 0: G; S/ @( \. l( S) R% l: S! ^# U
set customer nobody' L; i$ U) ~" r" L( E5 @! ]
set credibility-all n-values people [creat-credibility]8 L6 Q, \, I# T
set credibility n-values people [-1]
0 P0 X% a- m% D; M$ y% zget-color9 t/ s) ~$ q4 M- K/ f
1 W* [) B X: {# o* R& G1 Hend: e: \% x1 W) ] m& y' }$ ~
- c6 k; B' Z9 A; n& o7 Rto-report creat-credibility
5 h. w, Q" q% Dreport n-values people [0.5]
& a* W5 T7 O2 M1 r3 f5 M5 Y3 I$ Jend
- A8 C. K; |0 G4 B) _$ p* ?3 v0 }9 L% s1 l0 ~& {9 q9 h
to setup-plots
3 m [ R. Y1 O: _4 ?+ ^! i$ a; T1 L' C% J( u0 {! b9 D
set xmax 30& D3 [# a& c6 s" f0 W. ?7 U# d
" ~# {2 ~0 H. t) b' s
set ymax 1.0
& S& p! h! k; D3 Z% J3 V
0 R8 E9 ?- {) dclear-all-plots
6 c" c5 m2 {; ?( s
- A' I* Q' D& `setup-plot1
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setup-plot2
0 ~, [! | I1 R, @! u
% ^8 U# L F) E& f) \0 Bsetup-plot3
$ V5 _: `) \2 B0 P- _end3 Z: g& s' u7 ?3 \9 N, C
1 Z0 @3 h% Q: E& e. ~) o7 d6 C
;;run time procedures
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to go
5 h2 {9 D$ B# v- a& z7 }( o4 ~* n% O8 c2 ]( z5 T& L7 i3 W1 W
ask turtles [do-business]
5 K4 L0 f5 |" E( I% e8 r6 {end/ ?: d7 C) T5 R- x1 O) A; O/ Z
9 |6 c( u& Q8 R, n# M8 qto do-business 3 z& ~4 y5 D; v: L# F% _
7 h, X3 f5 d! ` v
9 B+ h3 O3 C7 ~+ Y: c T( a/ zrt random 360* f& }* _0 e, L: Z/ L8 z& X
3 W, P3 H; P+ [- w- w# u( c
fd 10 J7 K- w* v3 M% A# u" G
9 w+ A. U6 }4 m7 l) v
ifelse(other turtles-here != nobody)[
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. t: ?, @: O8 n7 [4 m, V9 Gset customer one-of other turtles-here7 s( j& _, W1 N+ N. c
& G! `' @( L% c+ }5 \5 o# c;; set [customer] of customer myself% i2 Z* Z) j5 B0 y, K/ a
+ E/ _2 z. c T" K! w p# k
set [trade-record-one] of self item (([who] of customer) - 1)! G1 k A; M8 U* j2 z
[trade-record-all]of self
% k! U6 K; S6 J3 Y; {* T5 @;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self, \1 r, ]8 w% T% {# s
* V$ F; @0 i9 L* N( P/ W
set [trade-record-one] of customer item (([who] of self) - 1)
4 j5 N' t5 d. r& q( K' `# ?) F[trade-record-all]of customer+ v! x- C2 d7 I
: ]: W& s) x5 O: P9 I/ aset [trade-record-one-len] of self length [trade-record-one] of self
8 e) Y7 g. v3 U
5 B, p: a* i+ @; e/ `# H: U: rset trade-record-current( list (timer) (random money-upper-limit))4 ?, D: a- {2 X( X/ v
. Z3 B+ r0 b/ b9 lask self [do-trust]
; U: K$ \5 s& f3 f; A' t2 V;;先求i对j的信任度
; Y c% L/ c% y4 S5 L. D9 R: d, l) r/ j% t% J0 F5 Q
if ([trust-ok] of self). u2 e/ X$ X, C: V Z1 R1 X: y3 C( E
;;根据i对j的信任度来决定是否与j进行交易[
1 m. @8 g3 K0 `, fask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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/ g9 g* l X' E& S3 b[
1 X( w+ p; L% Z% A- d7 y, o4 C( N' J* ]: C- [ p; S( Y7 p' M6 t# A
do-trade
& j# z4 V# M% B6 Z& V2 ~$ n9 v7 o) G7 g' ~) I: L( N3 l
update-credibility-ijl) c# K+ _# A0 ^2 Q
+ y! ? |- u [' S* qupdate-credibility-list
2 \# _+ e7 r1 X+ W2 Y. K0 E5 T- `
! ?# c: \5 w5 w# c. P' i% l2 V% m) U* D! D7 L; @( v
update-global-reputation-list
: M: V8 e4 R1 r" J/ z- u
- @$ s2 C5 ~* O3 J7 F- U# Spoll-class& Q$ D) F% \9 \( }/ F" q
! ]" ]9 S! h" J0 ~
get-color( V+ {: b0 S3 @3 u) i3 L# g, h
3 O& o2 g3 m* c( @
]]
. D) e* W2 Z ^
4 x6 I# `' l5 i* b, q- Z;;如果所得的信任度满足条件,则进行交易1 w2 I v5 M& k5 }! d7 I0 h: A7 @
) t1 G. E$ T& f) G& ]9 q[ d( C+ i' X7 d" U
9 T1 T$ s- r3 a# ?5 ]
rt random 360 g' q, V! d" f4 `2 h9 t# i. x
+ J6 y0 E& k4 X# M4 t! K0 f- m
fd 19 }, {, k0 P' s; ^$ O
]& k( g+ p: x) u I" g- E! b]
% n# b4 e) r: P" j9 ]9 s) M
$ u5 U; A# p8 n7 _1 @end, Q" n+ j M5 q
9 x, R4 a7 C- y1 C3 d( o; H
to do-trust 3 j4 W" f0 C4 g0 }- j/ m
set trust-ok False5 f9 s5 h) [, D& v
2 f% W$ K0 o1 g/ F' [" i5 ?( P9 y( W. D
let max-trade-times 0
$ ?) Y# l4 [# W7 L/ g, f+ x5 rforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]3 e z$ p& e; G6 n9 n
let max-trade-money 0( B* l/ c5 U2 C$ E
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]6 B$ i' C% s+ o* t
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))6 [; \% E/ u0 j; \+ V$ \- X
. s, n! ? L. j- J3 n
/ C- f, j6 M1 K6 G, _get-global-proportion X: V! j- E; F' y
let trust-value
" T- v4 O! n; A: plocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)6 |* p4 D4 F( I. d/ }$ U
if(trust-value > trade-trust-value)8 |& |4 [' n- E$ e4 s8 Z" t
[set trust-ok true]
0 Y* _5 P& q7 F3 E; S& w( k( Dend! _# D# w$ S: n4 x
$ T: C5 R" k7 v' m1 i) Q$ U
to get-global-proportion! D3 w8 i1 ?$ t2 [4 e% W: u* ]
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
* L9 E5 T) Y+ z2 e, o[set global-proportion 0]- n1 V$ r, i& m! C2 M. G
[let i 02 \8 L' u; z' Q. H3 k
let sum-money 0
& n8 H5 e* {' R9 Wwhile[ i < people]4 ?6 i+ R5 y& ^3 v
[
7 F5 x. t* o" \+ h6 ~& r1 Wif( length (item i9 g4 d4 Q) s) `
[trade-record-all] of customer) > 3 )
8 D8 v* j( B* m[/ i% F2 w) V! \% z' u# Y" `
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
: `* F/ m9 |7 V# }+ ^]% @0 u& J7 |* q9 U
]
' O( y8 V6 c# @0 t/ j7 xlet j 09 D! Z$ S c- A
let note 0- |: x3 V0 S; R5 P, o
while[ j < people]9 N. E) J4 N5 B/ N( Y) L
[
2 f: q! c5 q5 U w! f7 P/ J* gif( length (item i
& n# l) X8 g+ E0 C1 u[trade-record-all] of customer) > 3 )# R6 b* J+ ^% ^. X9 m, q2 z
[% U6 ` T7 ^$ r/ }+ M6 B4 q
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
8 f) y; C$ Y0 }' L( \[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
7 h: w! n/ z6 i4 p3 d4 [2 M+ \[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
0 I! R& r/ i1 L]
( l6 i# i5 O- e' q, \0 p]+ q8 O& A. l0 j! b) S/ W4 X! m. ^
set global-proportion note0 A6 d' C1 [: [: Z
]+ F' d( G1 o4 V
end
) q; K/ @, P5 @+ O
: g8 I7 }6 Y9 a5 P7 B& lto do-trade7 d6 I3 o3 T) n9 n8 S6 z$ ]5 ~% }
;;这个过程实际上是给双方作出评价的过程 J2 J8 ?) j. \& O8 c3 W9 C
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
& g. U& ~- z" ~set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价. U5 x1 G- q$ J1 \
set trade-record-current lput(timer) trade-record-current
+ f0 y# K: D" V8 ~;;评价时间" ?6 W- e7 [7 x$ F, s
ask myself [6 p9 X1 L; @. l, T) E; F
update-local-reputation' T$ Z. S" O; s1 s6 c/ F/ @; D5 B
set trade-record-current lput([local-reputation] of myself) trade-record-current
( r1 k: w' `; A) F, |5 M]
; E `! K7 v* r; }7 sset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself( F" V( B) o. Z- k
;;将此次交易的记录加入到trade-record-one中
% B0 [$ C0 w& {7 a! o6 eset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
; n% B& }, b8 ~+ y7 Slet note (item 2 trade-record-current )
* Y) a! x# I0 t; b8 uset trade-record-current
" h w7 L9 H/ t/ y+ l(replace-item 2 trade-record-current (item 3 trade-record-current))
) V$ d! ^2 D8 i2 o1 ~( yset trade-record-current
5 h$ o' E5 ^! K0 \% v5 K(replace-item 3 trade-record-current note)- h( K+ O8 u% C
5 c0 |5 t9 @7 G8 N/ c" J
% e J1 d0 d0 f7 L' ~6 Y
ask customer [
R$ f/ M) w& T! q8 Rupdate-local-reputation5 d& h# I0 E% \8 E/ H3 c
set trade-record-current
9 @2 g( b/ h5 A+ ?$ ~" S9 J1 z0 ?(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
( a6 }+ }6 l0 B* N9 G q8 P]
2 y6 i& s, D% ~' R
3 b! s- Z! @1 c' X4 k- _ E3 C; M: k% W3 q5 g# b) R( z5 t8 [+ ~% f
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
1 J4 t1 c6 [$ t% b2 o
3 Z' K7 J2 [9 d Q: D) U, f8 F7 uset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
8 ?, |* _; r; g;;将此次交易的记录加入到customer的trade-record-all中
& u% q! b. ?2 e3 Aend
' `: b4 U# ^) \9 W/ p6 D8 Y2 X7 b; k& K. y
to update-local-reputation
6 f. k7 ^7 o# h& @+ I2 Xset [trade-record-one-len] of myself length [trade-record-one] of myself" n( y6 I" r$ r$ d5 v; R3 u/ d
9 z/ ?3 o& r; N+ H Q
3 I( t; B& R( ?9 U- [. N7 F;;if [trade-record-one-len] of myself > 3 / f( K2 U x3 o- E" H6 F
update-neighbor-total, f* y4 ?& x e0 I0 I- Z
;;更新邻居节点的数目,在此进行: M: D$ k% K1 b7 {# G8 r% S: L5 u
let i 3
# \3 Y/ b+ M5 D1 a, j: i( mlet sum-time 03 S F6 p; I# ]* D; G
while[i < [trade-record-one-len] of myself]/ H. @) U2 K6 X- D/ R* s8 P- x
[, v+ m- T( j9 Q2 t, t- ?, l- C( h
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) ). { U; `' q: j: E2 Y
set i4 p" Y5 ]! I7 }7 n& ]; G
( i + 1). r% C- M1 @& T. ]) Z9 Q4 Z6 V; ~
]/ F+ G& T3 L; M
let j 3
, X% B: E% p! E: a9 b8 W+ ?let sum-money 0
- _+ f, T7 P7 F) zwhile[j < [trade-record-one-len] of myself]
7 r* f9 X4 V) |* h5 w8 ^* u[
( @) i' _3 a, ~* _0 z r& bset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)$ d" {9 w; q7 D8 l% ]0 P* N
set j
' ^4 [# r3 F" \. ~4 j1 r- q' R d( j + 1)5 K# B8 J* @* t) o
]
! a4 \7 u# E- r; }. G7 t; ilet k 3! D% X" S& b5 J, J0 A3 C
let power 0
7 `2 z5 F# C- a- T/ Elet local 0( N; }/ f8 U' y6 U5 z
while [k <[trade-record-one-len] of myself]: t. [- i/ p B2 y* W% w) O! h* J- w! Q
[
+ ^) V# c# f1 Kset 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) . q E& r, w$ H. f6 V) o
set k (k + 1) p$ j0 L2 r( u
]
8 W1 T6 J% ^, d' x$ J; k- rset [local-reputation] of myself (local)! @3 u' ]8 c+ w; X
end
3 n" N: k) q8 a7 r
8 T' `, K: h+ }- E# o* P6 y: Rto update-neighbor-total
- j) n) t+ e9 ~' J& D; f2 Y6 V. q" w0 Q$ C" | b
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
: }7 d- k" v" L l
! i7 W& L) Y9 _0 O2 t7 v) j2 f6 D7 h: }! B' v0 ]7 j" Y% E
end: \7 ^- w! O( A" p/ P- S0 X
" w7 I- z7 p; _2 p, u+ [
to update-credibility-ijl
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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。( Y5 n" |' j$ B5 \/ C
let l 0
p5 [: n; p7 p% u4 {while[ l < people ]7 D# X& F# F" {7 V# |
;;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4 p9 w) M& u- {9 F, ~$ J
[
1 l! @) C& e) b! Vlet trade-record-one-j-l-len length item l ([trade-record-all] of customer)5 Y; _, h7 ]: u" {7 t
if (trade-record-one-j-l-len > 3)3 z" t5 P- N6 ?! O, ]7 M5 u
[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 j# L6 I/ r! w. ~& e( Plet i 3
: T7 i* L8 N) s0 L% c1 T8 G# Blet sum-time 0( j* K) W! p& t5 J: h. Q
while[i < trade-record-one-len]
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set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )+ f0 t3 H4 x; ]; u8 V6 _. L/ C
set i& Y( Z1 P. [: h7 z
( i + 1)" O; k+ x0 l4 Q1 T5 I/ X- e
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let credibility-i-j-l 0
2 W: M$ d3 z8 \% E% g;;i评价(j对jl的评价)
* O( D% `5 J( b8 D! {let j 31 p) w! Z8 n8 B
let k 4/ x; q3 ]3 j" J( p% X
while[j < trade-record-one-len]
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: V& [ ^9 S! {' L0 kwhile [((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5 y9 q4 [7 d4 p# C- A% ^
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)
: }+ ~5 n/ b) U" A6 uset j
2 a, j& ~* o3 Y. ]( j + 1)% v8 w+ Z( j: c. D' I8 H5 ^' T
]6 g w3 j$ Y9 q, A2 ?7 K
set [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 ))( U+ ^+ f# b* T/ X
p. ?9 y) [& Z! o# o/ q, y+ J0 D5 p. {0 b1 ?5 F4 Y* ?# ^' A, l0 y T
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
* K7 `- L, ^3 |: }2 \;;及时更新i对l的评价质量的评价
6 @9 r9 B! D; L9 }set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]% }' z0 q* T! S: r V) S0 N8 |
set l (l + 1)& m" q _) u- f' f5 t! D5 c
]
/ A! L/ l1 Q& x( I) bend
d3 \6 o4 |3 ~" R* e8 D9 f3 v' y% T- @' Z6 f, U- F+ C0 K4 K
to update-credibility-list6 k: p7 X4 z4 X2 b$ a# { h
let i 0, L' z5 Q! |9 d$ j4 ]/ U
while[i < people]; f6 w `- ~' [& U6 b
[1 w& J# f g" }3 L) ]- K2 h
let j 0# I4 h6 p# l, o" x: c
let note 0" a* `4 \7 y$ g- Y# Y# w, B% A
let k 05 K) ~. k; t+ h- j# Z; m
;;计作出过评价的邻居节点的数目1 z. C) S' ?& C2 U3 R, R$ v
while[j < people], q: O- T! _) L, A+ |! `
[% S. D6 ~/ N$ d: G& x( X
if (item j( [credibility] of turtle (i + 1)) != -1)3 S9 M P* ]- t( s- h* i% v
;;判断是否给本turtle的评价质量做出过评价的节点
6 U6 x8 f2 J, l9 x+ _[set note (note + item j ([credibility]of turtle (i + 1)))* w7 |6 u) c- H5 N2 e2 r7 o
;;*(exp (-(people - 2)))/(people - 2))]
& A) r) a' J) L: }5 kset k (k + 1)
5 Z- A8 d& z7 ~2 n3 j# p# \]* e: Z9 s. r( w# e/ B
set j (j + 1)
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" H' d, Y& H m- y% h1 qset note (note *(exp (- (1 / k)))/ k)% R% S$ N" J; b1 A
set credibility-list (replace-item i credibility-list note)
7 I( j \( x3 u! T: Y7 {) fset i (i + 1)
+ A0 a7 G) k# [6 ~- _* J. D]
. K; s9 P g% ^* T2 V, `. F$ b, [end
: y I) j3 [# m0 m+ E2 ]0 k
, |# d! [4 T, R3 N+ [to update-global-reputation-list
' c3 G7 M* ]* u+ X6 @0 B! j1 N2 p7 {let j 0, {9 v0 I7 [* F8 h
while[j < people]
5 m$ d) w6 r5 X6 b7 O, |[' _) E" b" M( y5 U- R# ?- l9 J# A
let new 0
& C; c* ~# Q0 h, o& Y1 d;;暂存新的一个全局声誉; @( d$ x: X- b' S. \, S- s4 f# G
let i 0
/ ^, e' W% D {+ H) O$ Nlet sum-money 0
; _1 w3 P% b. l+ Slet credibility-money 09 h" I7 c' S3 S" F
while [i < people]
, Q1 w7 L+ C: t+ L/ @/ t5 ]5 L[% U+ Q, F3 B* h# U \
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))" I2 Q, F1 q% f2 v
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list)): \* a6 R0 i# W
set i (i + 1), L F) J- O, m' v, d/ E
]
3 L2 ^' a+ t5 L0 [. Wlet k 0
& T4 J8 ?( c! m+ y6 D2 ^9 ]3 O8 V! alet new1 0
8 M- e. C+ H- T- T% x$ Rwhile [k < people]7 G2 }1 [0 [! h, ?1 F& F
[8 \& i6 s3 q" v9 V
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)' Q( M! K' l4 `1 [7 ~2 R) i% l+ a
set k (k + 1)
1 ^4 u" @6 v- a9 X2 q0 Y0 X% L4 e]$ s& F1 T' }& L: G8 B
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) ) U' M W$ k. b7 D/ V8 l
set global-reputation-list (replace-item j global-reputation-list new)+ @; }" U# I: \+ x* X, U6 s
set j (j + 1)
4 j* Q( x8 ~3 t9 V0 D: u: J]
# F4 T' L/ `. {' {+ s. ^* Wend( }$ Q. c/ C! W- s- B( _
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to get-color
" H! `3 h! U9 n8 { i
/ l9 b. B9 u# O' M7 m7 Y$ q$ W- Vset color blue
, k9 s' P) W8 ^$ J6 O% [end8 \ S' p( }3 g* p) a
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to poll-class; ~. P9 J8 p. ` i
end+ N* U; c. _9 ]2 x9 v
5 ]0 I. y4 X( V5 \7 y4 cto setup-plot1* ~3 @- J$ A M5 K! ]( H
% V# |; S" f, dset-current-plot "Trends-of-Local-reputation"
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~( I% U8 D5 O6 w5 Gset-plot-x-range 0 xmax
6 a) P5 L4 s$ D0 l, B1 M
$ n; O" n8 J) `5 j D, I/ u. `. Y: aset-plot-y-range 0.0 ymax* ^6 V2 y; C/ r* v% w8 G
end
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to setup-plot27 a( w+ x5 }0 s" u% a
% G% [+ e# S9 _4 \1 E) z
set-current-plot "Trends-of-global-reputation"0 d, }/ L" [9 Y0 O6 y: {
+ U; G; j. z- s+ U
set-plot-x-range 0 xmax
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set-plot-y-range 0.0 ymax
7 x9 x1 Z" o }; E# I! fend1 G& o' q& q! y
& r5 s3 m# J' o i& Y- Gto setup-plot3( l; h4 U9 \, V; z
0 ?( Y _& D( ]9 o* |) q* B
set-current-plot "Trends-of-credibility"7 P: A" k! [& s! E4 Z
: ?. j' Q& j% oset-plot-x-range 0 xmax4 {6 e* z! p! p, C4 w3 v5 n! J
9 A( n1 c7 l( P! U- ^- xset-plot-y-range 0.0 ymax9 T7 C& w: r/ o2 t! ?" |& C _
end# x: { X( ]7 H9 L* y' B2 O
& t; f5 I: F! [% ato do-plots" G; K: M8 j: g" x6 j2 ?9 y; Q
set-current-plot "Trends-of-Local-reputation"
" j& J2 e, z+ n/ \set-current-plot-pen "Honest service" F; N6 r: k+ q9 P6 }9 u
end! g9 H6 S% A' ~5 G0 ^
& l7 u( E* K4 p[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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