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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
2 S* z5 J5 A$ k; jglobals[
4 Q' [" ~; A1 M; q% `xmax6 A; Y8 `2 ~# \7 I
ymax
: X8 J; |. E- ^! Y/ C6 O. _global-reputation-list/ C$ S0 ]& d, @
/ T/ ?. |4 `0 o$ j9 i" i0 [0 y$ S7 ^
;;每一个turtle的全局声誉都存在此LIST中
! t$ o- Z( o; o+ ^credibility-list) h, ?6 U y v( z0 z
;;每一个turtle的评价可信度
# }9 p7 I8 Y1 R) Ihonest-service' p7 X0 G: @- a
unhonest-service" w6 {* g1 M& N! H9 T4 q6 R1 R9 {4 F
oscillation7 N5 a7 X; C# U9 h4 ]9 N
rand-dynamic6 s* T7 A) C# w1 D1 T
]8 } I0 Z, _2 X* ^* _
?4 _; ~" C- ]# u
turtles-own[
/ z% r" ?2 C1 I) @* d* Ftrade-record-all
! H+ O" V, R9 f0 j- p J% G;;a list of lists,由trade-record-one组成
6 Y$ C4 s3 D7 A; y) e7 \2 Ltrade-record-one7 O3 K5 [3 y" z% ^; 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/ S. F* k. ?+ `5 \" u
! o" I& R! s, H- 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]]
, |4 f7 n# b& Qtrade-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]
: }& c) k/ |# {" v. C9 M0 g* icredibility-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
+ m+ ]6 P5 `" w' qneighbor-total
7 |7 }2 c8 i7 e3 K! F: @ r;;记录该turtle的邻居节点的数目
( S* _( |+ T4 _7 H. Wtrade-time
" s; |: @0 S0 t9 x2 A;;当前发生交易的turtle的交易时间
( h6 U) J8 p1 L% f5 ?appraise-give1 Z6 V) ^ x. h7 c9 |
;;当前发生交易时给出的评价, @/ {+ C9 S3 N, h' Y
appraise-receive/ Y, A3 [/ ^+ Y7 C) t
;;当前发生交易时收到的评价
) j& M1 X' H0 N. x+ a) S& nappraise-time
/ M/ i5 t4 _1 n$ g9 M& n6 d M;;当前发生交易时的评价时间( Z2 e. v' d$ v/ K' B4 E. w' o
local-reputation-now;;此次交易后相对于对方turtle的局部声誉
3 L- R6 a% \% T. ztrade-times-total- A+ e( g' B9 e8 \. {: e
;;与当前turtle的交易总次数
) e7 z: e0 e" q8 X3 T2 g$ y& e" strade-money-total
; Q9 u! X+ a0 };;与当前turtle的交易总金额8 n7 d0 U8 K/ y1 ]" ^: y/ p
local-reputation
7 y, O, y; W: i9 _( mglobal-reputation
0 P% i ? ^/ Qcredibility3 ` X# O7 r" `9 A$ f4 ~: D
;;评价可信度,每次交易后都需要更新
7 Q4 O- v; C- N4 x! Mcredibility-all
& w+ ?, R6 V: R2 j;;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
# U8 E/ |4 m' X) D1 O
: A8 Z$ r, ]0 O;;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, U! ]' _8 M* r# v, Y/ H9 ^
credibility-one
2 n: j2 Y" g# \/ ~5 h* o& x;;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
& d9 s1 P( R; S! X/ \global-proportion3 {& |* g4 J# R1 A
customer) y2 z! k6 {, {; N- i5 y" H
customer-no0 o) ?* L* N$ o% d
trust-ok3 ?1 X' _3 F* I6 C7 Q
trade-record-one-len;;trade-record-one的长度
/ B- T1 H. @ X4 W( b]: _: X! p! b0 g0 W- \/ C
8 r5 d2 N( P1 P5 ^;;setup procedure3 H0 r; j8 ~: D& C2 B5 k3 [
( W3 }$ _7 \/ N! mto setup$ B: f/ f% I9 r
& Y1 C, q- W5 `3 i: `7 d
ca
/ X# b/ b- Q5 h3 S2 P2 P+ [) Y% |$ ]) L9 i0 e: r+ S7 w$ X* z
initialize-settings# K( `' C5 E3 v: x
( {! S& K& }8 p, j- I: {0 |% I9 Xcrt people [setup-turtles]; N; g/ j% Y/ `" L
7 O2 M; I' R; ?! X- oreset-timer% C2 i* j7 N/ y
9 V/ u7 p2 n' L& ~+ u, Cpoll-class
, n v) N/ U1 w) ^4 `6 r& K
9 e$ @) ^! s$ D8 h) R Q1 qsetup-plots
4 l/ {0 o0 b$ ~7 B2 b% r
9 J- h: V7 s0 X2 g, Y+ edo-plots' V2 V4 d" k* s* a8 L; M
end
8 U; Z5 ]6 v m. P4 w, l; |) X' e/ Y
to initialize-settings
5 |. `6 ^ Q$ _, A( Z. z4 Z* X4 x* s- w8 b+ F+ t9 ^5 @
set global-reputation-list []
1 `" n2 W+ c4 z. e7 o
# f( Q2 C; T- R& u) C8 W# \) f ~set credibility-list n-values people [0.5]
2 |$ e; q) e, h, C9 b) n! d9 S7 S+ J/ @9 J3 O$ P
set honest-service 0 {$ a) o) O! [- X
" R6 M# J; ^8 B2 O4 c0 gset unhonest-service 0# {3 g1 S* L/ C/ d5 P
, s J; H" ?. R" fset oscillation 0" R. z7 z1 w% X
3 }# o- {- P+ i' f# wset rand-dynamic 0+ |9 K# N5 @+ H9 j- X# O
end
" H$ Q) A; M+ N, v3 }/ ~& B! I& C( x+ ?+ H. B) {
to setup-turtles
$ _, k4 g3 x! e/ _ `! W6 vset shape "person"
G, V6 @" f5 g! f( G. ssetxy random-xcor random-ycor% x: s+ Y/ w/ m; M
set trade-record-one []
+ e# [/ P* t1 o) W' a' W8 r# \4 Z( d( X8 Y- w; A" Y# u
set trade-record-all n-values people [(list (? + 1) 0 0)]
9 S, M' H0 n7 T% U3 _4 Z
& ^$ w& u- E+ s0 }2 Cset trade-record-current []6 C d$ i3 g, u; N( o( C! N( u' z
set credibility-receive []8 V. K" H4 N0 ?% m, H. L5 y
set local-reputation 0.5" Y! b( ^+ @' |; q8 h* y
set neighbor-total 0
0 n! e8 n4 S( ?8 l5 Z `6 G5 q8 j, Aset trade-times-total 0
( g* H. K9 P$ O8 P x4 Q" qset trade-money-total 0
5 |: Z( E$ [, ?+ p6 z. T; C$ oset customer nobody
: t4 s% K& M& s; h) M% S4 g& L) Q. Sset credibility-all n-values people [creat-credibility] b. ?/ ~" X" l/ {5 Z4 `; D: L- F9 m
set credibility n-values people [-1]
b& @. w* `3 a( C! s) eget-color
! {- R' \$ j2 H
, u2 V+ ? D! bend
- C# T% g0 z! s5 d. r5 O
8 ]* k7 e n- t& p( M: L/ Y4 `to-report creat-credibility$ F( V( w8 i: `9 e) I
report n-values people [0.5]1 \. c7 e( s' p( S- |# W
end
1 R7 b# j. G; _7 r5 M P0 q B6 ]1 ^3 `
to setup-plots
1 |2 m( Y/ y! i# N: }0 q2 H# ~/ n. M3 c- e, N3 Z x( V# |
set xmax 30
- l7 i: K; G5 \: N
* \. J+ Z$ Y5 n0 Y0 Sset ymax 1.0- m8 @; Z7 b/ g
! X e, {& ~! S5 l+ Z! Z/ t
clear-all-plots
/ \! U0 \. N0 y' {8 p6 y
U+ n; g7 B: }0 P- y8 dsetup-plot1
) p3 e* X4 ?4 B8 E! c& j/ K/ l, g( O$ k( Y. D1 W% B
setup-plot2
0 j7 J1 z% e% g. _8 c+ M8 Q
& s z, R% |( w1 tsetup-plot3
+ w( ~* D* } }end
@ s6 H- m( I! B) [3 z0 P9 b9 k* I3 ^" u: S8 j2 p& L& M+ ~/ A$ n
;;run time procedures3 g$ G, d' M* n& E
$ m4 I. E4 d: E2 U0 p) tto go) l& H; p" v1 O% W& |
' S* W* U1 _( M' C% x: W* C5 `
ask turtles [do-business]
: H: J$ N( \ K3 Xend8 a' R( }; Y8 T7 A; P1 U8 x
3 a. Y: U2 V5 `4 zto do-business
! m; R9 _. F' F+ x5 @1 W8 \. d% c
! `1 Y1 y8 ?5 M9 K( }# A+ U1 j" E" i" {( p+ k" ?/ r/ W
rt random 360
/ \) S) [/ W% E1 L0 w
3 B, q S$ N( tfd 1& s- |- u. N% o4 _ h4 U+ R
3 Z; F+ A5 e1 ?- gifelse(other turtles-here != nobody)[# V* R5 G' d- I" v; b1 H
/ c3 B3 H' y, c0 s z8 vset customer one-of other turtles-here
' d5 ~7 J1 O6 B D$ c9 t; T; p! l' V+ d" M0 @
;; set [customer] of customer myself
P6 c( }7 y2 @; h# o
1 g* y, a% q% d- B* ~+ vset [trade-record-one] of self item (([who] of customer) - 1)
; q: H* B3 k$ a. U2 _7 ^* B+ |[trade-record-all]of self7 Z7 \0 R- b( X Y
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self& b- } @9 [& M: P7 n) A2 J
) ]3 m& u& t# Z. b3 g6 B! x
set [trade-record-one] of customer item (([who] of self) - 1)
2 x" ?; H: p! ~. L6 q3 n[trade-record-all]of customer# A3 T! n; T# N) w) h4 x4 w
' T/ u: I; Y$ }+ G" d& y( m9 i4 jset [trade-record-one-len] of self length [trade-record-one] of self
5 H( s6 N) ^* H# x6 G9 Z; O/ I5 Y. m
+ P4 e! i1 E; p& n1 H, ~set trade-record-current( list (timer) (random money-upper-limit))
$ ]; V) v: Z+ o% H9 H7 p
# `( ~& \' v! k/ I- G2 |6 }% f, Vask self [do-trust]
y! z. `! R. @; I0 w5 N;;先求i对j的信任度" I) j1 k/ B, q7 `' `
0 E2 I% }% V$ E; ]( g# R- u
if ([trust-ok] of self)) t/ D) B" c0 r" E) w5 w
;;根据i对j的信任度来决定是否与j进行交易[
" H$ u3 J6 M! F# m, E$ h3 s- w2 Fask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself+ O3 ?2 C f0 T) s3 X
" D( w, T/ v- U8 g5 `6 n/ T! ^. @[
6 S$ D4 M9 [8 m, k% }! _7 |9 X3 J$ u9 }
7 D0 P, ?, c; ?- \% I. Edo-trade2 S* {1 _3 y p. b6 D, c [
2 Q+ j9 A& m. G2 J. T% k) T8 kupdate-credibility-ijl; B$ ~! m$ g, H
5 E# f0 w( h5 d
update-credibility-list# _2 e3 S7 Z' i' Y I
' h$ n. O q- C! B8 T$ ^$ q! j5 i" D/ X* c
update-global-reputation-list
) ?/ {$ e) g6 W1 I! ]9 D7 N
+ C& J- t* @. P; s- Bpoll-class
5 R0 _* X' j( d X9 j+ e
8 I! w5 o n0 w/ ~3 P( {$ }! hget-color6 ^: h6 r4 K& _- p; m6 I, X
% |: Y% K0 k4 e0 e/ @( c$ B
]]
K0 j# g/ Z+ C. U' B- m3 {! ]! Z1 D! O; ^" e
;;如果所得的信任度满足条件,则进行交易6 I* ?+ F' P' c Q: |3 ^
7 b' m% [' t% \* F, `[- Z! [8 E* ^% u
* D3 E/ Z" i& jrt random 360) }6 N3 Z7 @: W s' r. Y
4 q" K+ Y% T( z9 {7 k5 E wfd 1
! |- T, f* O7 }) X; L& D% Z! W% B
" L& f8 Y# X1 n% { [ o+ `]/ L: z/ r) t T* Q+ p5 p
( e2 g' s# G; h5 @5 i
end
" Y/ z" \4 w$ a) a0 p2 Z- b' z. t/ A
to do-trust + d( z1 }1 L$ t
set trust-ok False: B, \/ H! F3 c- C7 J
" }" j6 w2 Y$ i) R
( ?9 [! F) E7 c2 c8 ~& `let max-trade-times 0
& z6 }/ g" D8 i: z% O6 r$ l% ~foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]1 y o) h4 n! O7 ~, v% y
let max-trade-money 0' ~* ]6 m# g2 l! u; s5 D- u7 u: D
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
8 ]' c$ C( l. s& u3 q% Flet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))+ `; e3 R* {, H2 b1 @4 r- c% C9 m# s
7 U9 q c* o9 K' ^, x, v) n* r5 f8 n, L6 G6 j
get-global-proportion6 _9 G. d% @) k
let trust-value
0 L' N- E$ D$ P4 ~local-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
}$ ]; f7 y1 B, v0 s3 j: Iif(trust-value > trade-trust-value)
& ]+ G' ^: V \' h- n# h[set trust-ok true]& r( L" K% d7 g( ]; p
end
6 R5 S& |8 f% T; X4 h) a; m3 e v% E0 F. J, e
to get-global-proportion7 p" B3 X, F, l1 {7 a# \
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
* M9 }1 x+ f% Q5 [6 D[set global-proportion 0]
: b$ c' N* d( T+ Z7 P# m4 M[let i 0
r* v% m' H, V2 m, Plet sum-money 04 ?0 D8 M4 ?8 I _! J2 h
while[ i < people] e/ i3 y% {' W( `4 `+ T9 i# G9 C
[
, S# {6 z: S' X3 {$ N7 T5 z0 aif( length (item i
; b5 ^5 o3 E$ m+ d1 V, w' g[trade-record-all] of customer) > 3 )
' q( ~. u8 a7 B1 j9 L[
% R, y5 z$ O2 O( I; rset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
% }* J$ T9 H/ m. c6 _], t8 x7 J3 l% J3 B6 {0 x+ C
]
; f( N6 D5 B. P0 Slet j 0
9 u$ B; B1 D% M# g3 R! y* l1 xlet note 0
/ Z1 I, g6 S+ Q/ O; ywhile[ j < people]6 f4 p4 l2 n- {9 o. m; ]
[
! E# Y- Y5 M j( T, j# g9 ~if( length (item i
4 r6 P* D! o8 x[trade-record-all] of customer) > 3 )
6 U- o; T% E: J7 k* i# s* |/ o[
2 p# i% M0 P7 ~6 x! P/ pifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)* W+ T2 }5 z$ [
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]- g* G7 B( |: B6 G9 R- }6 L
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
# k7 y' i( _8 o3 \]+ W' i& R/ l, d7 G$ z
]
( r5 \* l2 `3 g* y6 g" j9 jset global-proportion note
: S, K4 D0 W* y) |. S- M]
5 K$ {- T# V6 E% N2 Oend. V2 ?4 [: K4 ?: a) U
+ A' C4 J% v7 S# ]
to do-trade
7 G9 R, p' h4 x;;这个过程实际上是给双方作出评价的过程
0 c3 V$ n- N" ~# rset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
/ U: z* U: N: |set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价7 x L [/ k! ]1 V
set trade-record-current lput(timer) trade-record-current% D, r7 ?3 ? A8 T+ U. M
;;评价时间3 x) j* E; z: h6 z
ask myself [
; z4 I- D7 M; |; U7 \# `update-local-reputation% e; ?+ S- b% M: T) Y! }
set trade-record-current lput([local-reputation] of myself) trade-record-current
& H& ?/ w9 W- d+ C7 f]4 T6 d; D3 n! U* [7 M
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
) k" ] _* U1 b0 t;;将此次交易的记录加入到trade-record-one中$ L. _+ p' G/ }
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself) @0 V% U5 e# p
let note (item 2 trade-record-current )
/ h; i" @' E8 i. Y% J5 L) Jset trade-record-current) f- b+ [ @" m5 S
(replace-item 2 trade-record-current (item 3 trade-record-current))
9 Z, X, H4 q6 U {4 d7 Y5 Oset trade-record-current S. N# k' O; E. W# ]1 _1 |5 C/ {
(replace-item 3 trade-record-current note)6 t0 h5 d: {9 s- L* d
$ Y$ L3 A5 `, k1 K, i, q. q6 `; | ?/ F0 ~7 P/ v, ]' n5 g
ask customer [
* X' c5 h3 G o5 ?% \% {update-local-reputation( h0 C( ~+ Q' P$ [" T
set trade-record-current( K! g4 r, `" x0 l0 ~0 ^
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) - ~1 ]( K4 W+ H4 ]; [
]
. s% |' O5 @! o0 X4 ?- o4 n: y7 @/ P# L4 V4 m
& i! d h5 T4 l4 Nset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
1 G+ L; j( t2 |
; U8 T8 ?/ J9 D: }set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))1 \# K2 ?. d! g
;;将此次交易的记录加入到customer的trade-record-all中
! J {7 d+ ~% R% Pend/ o6 ^( X3 B% n+ Z9 ~; y) Z
' I. {0 }, P+ \3 F
to update-local-reputation- r4 G Y4 {( j) [- f* H
set [trade-record-one-len] of myself length [trade-record-one] of myself* f' } l+ ^& t8 }+ ~( h$ N
9 W' t1 p; c3 [$ ^) }
, W8 q( V t/ r) g% ~3 ]7 M;;if [trade-record-one-len] of myself > 3 0 p; R8 m' C' S; ~1 T c
update-neighbor-total
4 p( M9 J7 \ q5 W" Y3 N;;更新邻居节点的数目,在此进行
1 ^+ G; C5 J: ]! N# C) ]+ s% U) Flet i 3$ s0 ^- {' }0 I4 M% @* [. Y1 z* V
let sum-time 0" K% ^9 @1 m+ \+ c; t
while[i < [trade-record-one-len] of myself]
& o2 ?2 ]! _2 Y* P2 T$ W N[
& M! ], [& Q6 N' ?set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
* {. |; K& @( G, }: Fset i$ C8 `" A5 s$ f" ?! b/ _
( i + 1)
; i' R+ l1 l% K: [3 y]
- s$ O5 y) k9 \+ k8 Y9 O; E' |let j 39 h3 W& p% M$ Y8 T" P5 Q! k8 r
let sum-money 0
- k* K6 r9 q- ~1 B0 ewhile[j < [trade-record-one-len] of myself]
" I7 \8 i7 N9 [# V Y[
2 w6 o( o2 z6 Fset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time); M& I; v9 T! \- y2 U
set j D. f! {+ v; g; A( B5 l/ g- ^
( j + 1)
' J! @5 f& T9 p; p4 u]1 W4 v; C2 `' C6 D
let k 3
/ F- s) ^) ^+ n/ y( z/ Elet power 01 u- ~) a; t! t' Q
let local 0
0 Q6 y& k$ @3 B- L& a5 J1 owhile [k <[trade-record-one-len] of myself]
9 l2 B2 U' g q1 j8 C* ?3 B[, u* Q3 }3 N {) J6 B! |
set 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) ! _& F* A7 y7 \2 z2 ?
set k (k + 1)- W' D; |* f+ ~2 N# ~# o1 x* T
]
3 k- `% Z$ d0 q! M1 ~/ @set [local-reputation] of myself (local)
; i2 e5 i. o7 Xend
1 L+ E' j3 g2 b% c3 ]- C9 ^! h( @2 R$ o6 i- K1 _
to update-neighbor-total
7 f' a# r( w5 y' q
( f# |4 U1 k$ S& Rif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
& A- m$ o+ k, Q% {4 M
, Z% P2 k0 z$ ~ o6 E
$ Y* P. E; x0 R2 V$ A+ oend' O8 r' E$ U$ b( g9 f
- t$ c# a1 C: n6 _/ S, F' _to update-credibility-ijl
Z0 D. w. ^( n1 S' t6 c0 i0 a: ? S
;;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。
% d; f2 w8 J# Y7 n0 n% Y# plet l 07 c1 v% Q% V$ L. h" R
while[ l < people ]
1 \! m* D! R n5 r;;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$ i& s- A" d' Q+ l
[/ y5 H. E/ i- X v
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)( b. O. l# ~6 O/ ^4 b! Q9 j2 N) x
if (trade-record-one-j-l-len > 3)
' x( m: |8 ~9 w8 ~[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-one8 U+ N: f4 i9 f( e1 r9 |
let i 3
5 M* h4 U9 N+ j/ ^let sum-time 0
- j% a P& @, Y( A5 n. |. ~while[i < trade-record-one-len]8 v5 M5 O" O7 W3 `- O& f( X7 Y6 \. P
[1 }5 y" l: t3 l; o3 c6 Y
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )6 k2 }2 M* X c ~
set i
- B& Y* d* U; P" f) c( i + 1)
7 W5 v* b' e V0 G6 T7 []
4 C7 h7 l$ o1 h+ S+ U* I3 Klet credibility-i-j-l 0
3 G! ]% Z2 @* A. `4 d/ c- k;;i评价(j对jl的评价)
. s3 z5 c$ q0 D! A' W* Flet j 3
: ~1 M7 h+ g( e- zlet k 4
" Z* W+ ^# @0 ]& Z" Lwhile[j < trade-record-one-len]
4 K8 w$ \% E( `, T) w$ n3 X9 k[
# ~. S7 g; w) P% twhile [((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
' _8 m' V. J! J, _* l: N( y5 m Pset 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)
6 e/ R: d% X# W+ R+ v" { ^set j
$ o3 M9 b ~$ }4 g) R+ U$ K4 z8 K2 z( j + 1)( {5 t+ ]; O# w! M" L2 j
]
6 _* h$ O1 O6 C. ?. I7 t7 p$ 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 ))7 M* H- Y: D4 e# d r% C: w
5 U6 ^3 w, h: S! O
. }* }. x- x. A' dlet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
% Z% A5 q5 ~* a: p/ f5 n;;及时更新i对l的评价质量的评价
6 ~/ W2 d; Y6 v% {) f3 ?set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
: Z- A# P; x- P! m/ _/ {$ yset l (l + 1)
1 o6 Q4 x- h0 B# }4 {3 P, j]6 H; g5 [2 h0 S. X* e+ R' S+ s
end
8 y4 [- M/ j9 P9 @( p- T: J3 P' { H* U* P# F
to update-credibility-list) p! j$ J! |$ i5 @+ p
let i 08 L4 m, G6 ]& i" {' C1 |- k0 L
while[i < people]
$ d( i0 l- K. Y- {1 _5 E4 b6 A+ a4 e[
5 ~. ~: R- |5 J0 K# |2 s4 Rlet j 0/ N x. E4 a& C8 R, c3 y; u9 Y$ r
let note 0
" n) u; W9 a6 m) H9 Qlet k 03 o# e! K* O n4 { ?! |4 t
;;计作出过评价的邻居节点的数目
- N/ L- \' h6 j# }* Zwhile[j < people]
/ `1 i' x, s4 s[( f4 P; v% g) e2 A# x0 X
if (item j( [credibility] of turtle (i + 1)) != -1)
; u. T( Z7 v& `& Q% F# M" ~6 h* A8 p;;判断是否给本turtle的评价质量做出过评价的节点
) n' Y+ a |/ V: y7 j2 H6 q8 x[set note (note + item j ([credibility]of turtle (i + 1)))3 M- r3 \: |7 m* w& g+ g
;;*(exp (-(people - 2)))/(people - 2))]
0 M8 z6 U% z4 }0 B8 ]set k (k + 1)' u' B! n9 d9 ^! F+ @; y0 g( U
]
: j# Z6 T9 W' h n, }( }% \set j (j + 1)
/ f8 d/ U- L( f' _( L# []
5 p1 R8 Y0 \! p8 p3 vset note (note *(exp (- (1 / k)))/ k)9 E$ M. g: b; H( A% ` Z7 W/ }
set credibility-list (replace-item i credibility-list note)
( P8 {( Z# S7 k: fset i (i + 1)" V1 O6 G, u, ~3 ~' t
]3 x; O7 m, g6 k
end! ~( \3 S: |6 K. b1 ^7 [9 B* c
5 R/ K- |. X, y5 |. W6 f8 Lto update-global-reputation-list
* X. I! X/ R) {let j 08 _2 E& X8 S0 U- G5 c; h
while[j < people]( e2 a& `+ ]- c# ]2 ?7 d
[
. |0 w7 i' ?9 p* z- m3 plet new 0
% t$ w" E$ P- ~- P% Y8 s- \;;暂存新的一个全局声誉
4 V. [& y& J/ P2 c# J( ^let i 0! w6 I' v5 n6 w& k0 ~
let sum-money 0
6 f L. F# D' Plet credibility-money 0, e0 d; E8 K7 C2 z. `; ^* A) D& c
while [i < people]2 m8 b) N# F' T, \6 R5 \
[) z. q. E) g8 ~" }1 b, K
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))- @0 R( d, E* A3 Z; C! j
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
% P, C" G. b; g" Vset i (i + 1)
3 H' k6 Y! q! Y3 G% {! |: p]: z1 J2 d8 r( ~! l% R) K
let k 02 x# R& N2 q$ k
let new1 09 M1 S' P- Z/ X3 X; ~
while [k < people]' `' ?+ _# P' O) a: ~0 S
[! X% O5 h$ F+ ]3 `" D
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)0 I y/ ]$ x+ V, U5 R
set k (k + 1)% a3 c7 e% A+ h. b/ z
]- |0 d! I! ^2 i5 W1 y
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) ) a; k; b% U2 h/ e5 \
set global-reputation-list (replace-item j global-reputation-list new)3 p* @9 F, [" m9 ]- d) p, K
set j (j + 1)4 V7 _. Q+ h" _' [: [5 C
]
- l) _, |# `* c) Iend6 ^0 p2 Z2 Y/ I9 Y m/ a" s
0 I) a9 J/ |6 c
0 q8 Y1 @& ]8 m, W' T% C& T9 A2 Z" Z
to get-color, {" g1 b; M+ {& f
( I7 w- B5 `9 {, V, _. P# [
set color blue
: h1 ^, |! a' h# a2 _5 b( y0 ?1 p5 qend) N0 T4 l' V0 }, t/ k5 O+ l I* G
, y" b, T) P0 Q8 W' c1 e
to poll-class
% W0 k6 d' R7 ?& [9 B7 P' mend
1 p& e- ?/ |2 D. R- L
; L+ m+ m7 N [$ M6 ito setup-plot19 Z) D' V, A/ B$ S% `% t
' p: t4 n) w* c% r
set-current-plot "Trends-of-Local-reputation"( I3 q J7 g0 Y" z0 }! n3 r
: n% G+ K7 y* C( }/ c
set-plot-x-range 0 xmax/ W. ?- K4 Y( h
( {3 b" N* K2 \8 x/ n& U: b- v# zset-plot-y-range 0.0 ymax2 S9 \( l& X! T6 d- |
end
* @0 u0 {" p2 B6 C, T/ i4 T/ W, N2 O Q& F* D
to setup-plot2
: X% ~ u. ^# S( J# N q5 K4 E( }0 E" h2 p, W! E0 F
set-current-plot "Trends-of-global-reputation"
+ E3 F5 @" e* B% L4 G
. o$ v" D3 m* Eset-plot-x-range 0 xmax
* l% ? [. F/ x& u6 ~& q z# K7 N9 ~+ W: M, D
set-plot-y-range 0.0 ymax G8 ~" F1 L( A& A
end
9 _9 U+ ^& n9 n: J2 b' g! b! A, F; _3 w7 G$ I3 D
to setup-plot3
+ M' R( G; v: T( T: |3 h" u( z1 ^( b0 f8 W
set-current-plot "Trends-of-credibility"1 ? T1 O3 s+ ?: a" h
% c5 a$ }( b. F( V0 Bset-plot-x-range 0 xmax% e- X& ]( }2 P% L) E/ }
, ^. y- Z g; G
set-plot-y-range 0.0 ymax
' `% A7 O* F4 U9 Y" q s( F5 Fend
! O$ q" V; I2 t5 U
: X, ]. Y- E- [1 O4 y: p" Lto do-plots5 e8 B( [, O- n5 T( D* {- z& a$ R
set-current-plot "Trends-of-Local-reputation"+ R; W% y6 K: O' H" ~
set-current-plot-pen "Honest service"
4 R7 L% g8 M% d7 e* l. [0 Xend
. D5 h% r' q3 [4 x( R
2 B( T* S1 U0 I[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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