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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: |+ D: v- P. m( G0 D$ x. J
globals[/ R8 a5 C2 T4 L( j) k+ y
xmax0 D8 [+ Y: t: y/ X. Q! f, w
ymax- i# h: S* y# N$ E9 ~9 Q
global-reputation-list
' h& E$ P8 ]5 M: w" Q( y. Q9 b+ U# G% Z! ]$ O
;;每一个turtle的全局声誉都存在此LIST中! T" R) K1 Z3 Y; p$ C- q! q
credibility-list" T' e: [3 s+ B% r
;;每一个turtle的评价可信度. x8 f0 n* I+ G9 { C! S
honest-service$ Q" w8 Q+ |+ }5 e8 c* [7 Q
unhonest-service
. O, c3 c5 M! J3 P, X+ doscillation
; x3 H3 z; m2 Xrand-dynamic% W: b2 h$ U- D; x' S
]
0 f. B/ v2 j. Q3 c2 }0 c: E
0 e7 A& G( ?+ |, o/ Q6 H. }turtles-own[
0 N3 i/ Z. A/ ntrade-record-all8 B7 Q5 T* z7 i |# X
;;a list of lists,由trade-record-one组成
; `7 X# N" p& \/ c& g" D5 S, vtrade-record-one2 @- ]. v7 [: d/ V2 v
;;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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P, U. {1 D0 {4 v Q0 F+ c$ k;;[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]]
; x+ T" @% q/ K/ L- b9 R$ z8 Ltrade-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]- m& J7 ~3 y+ ^. J! @8 K
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. ?5 h; |; g) Y9 N
neighbor-total
6 o6 f$ l# Z" X. `( I;;记录该turtle的邻居节点的数目
% o+ ~, z, g$ x w+ V* D2 j$ ^& ktrade-time
# a& s: \9 M8 i5 F% L;;当前发生交易的turtle的交易时间
4 o; h. V: e8 ]8 C Y) ~1 Z6 X* X! C: ^8 Lappraise-give
" L, s; Z7 y! P: t: ^! y;;当前发生交易时给出的评价
( \; H, q, C. V/ @! r1 i" @appraise-receive
9 X9 F" |8 Z q& j;;当前发生交易时收到的评价
1 G* f3 N; E6 x7 B6 N, D- o1 R+ |appraise-time6 g: H" e6 o) t$ E8 P' R! C
;;当前发生交易时的评价时间: k- a5 q0 ` n7 {+ I, r
local-reputation-now;;此次交易后相对于对方turtle的局部声誉$ y. D, N/ {& J( n1 S6 O- Y3 s
trade-times-total9 x/ ~. c: V$ j! N6 k7 F2 H
;;与当前turtle的交易总次数
, z; k/ h5 b+ c, Htrade-money-total. Q' x& e' `5 {- I, W ]* c$ |7 Y7 O
;;与当前turtle的交易总金额
. g+ f- S( X2 p$ ~, p3 j+ tlocal-reputation
6 g2 O) t" n! A- ]2 @" ?global-reputation
2 H" w/ F. c# o2 dcredibility2 s- G* l2 t1 A& {: X( e
;;评价可信度,每次交易后都需要更新2 q8 ^+ S' k# a* V* J3 ]* f
credibility-all
0 r) e' _1 u! `: r* s;;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
2 c1 f" |7 Q0 z9 c8 H: n( n, E, o- M1 _8 ^7 h
;;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* e9 K/ l( g, w) \: i0 J
credibility-one/ J) j4 w) W, A$ u8 ?: m
;;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
. T/ G: T! l; b# v+ G2 eglobal-proportion) G# G: k: j {1 ^6 c
customer0 k# Q, k' L. L) y* I
customer-no Y4 L/ |+ J2 B% R1 [& k6 E
trust-ok, v" f5 g+ w, E+ b1 o* S G, V
trade-record-one-len;;trade-record-one的长度
* D& |) D4 l7 L]+ ~ y. q. a, I$ X- d
2 {. _1 R/ ]7 ?8 p+ r+ G
;;setup procedure
6 B" s) }# U6 J2 z) Z, a4 D O7 O
8 K- a* p0 J0 i0 v0 T1 |3 T1 Yto setup
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# f+ {1 u4 i; |" X4 z5 E3 Oca
+ |% \6 T2 E! y6 o8 M5 R8 f# t, ?! x+ }8 Z
initialize-settings" z4 N& p d& S6 ^4 s2 k0 F5 f
v) j' c- U9 \crt people [setup-turtles]
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reset-timer
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4 _; A& y: u% L3 m2 upoll-class5 Z% C& U% |$ J! r7 T: N2 h6 h
# K& z o- j k0 [9 N* i, L5 d$ J
setup-plots) j5 o/ E" K/ d
& t }' H" K, x* e9 O1 qdo-plots5 \0 n/ Z9 ]2 j0 C+ K$ @: \3 Z+ B. `
end
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to initialize-settings8 t, o, c+ j+ u. g) R
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set global-reputation-list []
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0 ?8 z7 b3 K% `# l# e, x7 Aset credibility-list n-values people [0.5]; n3 |; O9 ?$ I% t1 j4 T% n3 a
7 h4 h* ?' I+ }8 C( l+ P H/ ?set honest-service 0 S; y9 E6 _- _2 t+ i9 u* @5 O
8 w6 Z) Y( j0 U
set unhonest-service 03 R c! u( S T! d/ W
/ s7 k* v) d. g
set oscillation 06 r0 S7 r, y1 K/ `% j& T# c
6 X' y6 T3 l2 \0 `9 zset rand-dynamic 0( z& F* T$ p* @9 S& X
end
7 }$ {7 u5 Q$ ] Z/ Y1 K+ n, C
2 X" P& a2 w; N* i# ^2 x xto setup-turtles
& c! n% V; e7 O1 k' u( ~/ Wset shape "person"
1 y4 s# O: S; A2 S8 J1 Fsetxy random-xcor random-ycor, o/ L! b& ?; P1 o3 ?: L8 U
set trade-record-one []
, X, M# V _: E6 m# |8 F: B- O% X9 w. j4 [- g# K
set trade-record-all n-values people [(list (? + 1) 0 0)]
% W" Q) P$ }9 L" e. D1 L8 C! f0 }, b6 `, \4 |4 v* Y# W/ i' |
set trade-record-current []+ r0 t' R( }7 l: E$ V' b
set credibility-receive []* U' F' s% `5 K- @) g1 I$ o8 U
set local-reputation 0.5
, t0 q+ v0 S" _: W1 U) a# f$ Xset neighbor-total 0
% B* v" I$ ], T+ S, _2 \set trade-times-total 0
7 H2 ^/ ]; Y$ ^: Dset trade-money-total 0
& Y0 {- E# S% Y0 [8 Kset customer nobody
2 G9 S/ p7 ~$ M! t0 oset credibility-all n-values people [creat-credibility]
1 T. {) a# }! s# h; D% l3 [; z# d, Rset credibility n-values people [-1]
9 i5 S1 @* M' ?$ F( Mget-color* D8 Y- W* Y& S8 c$ R% V7 k
6 o* G; C8 ]+ |3 e
end
% T. |! o( e u9 f/ N, j+ u7 g
/ S' b9 U/ J+ Zto-report creat-credibility. i1 Y3 o3 p* ^( i" A1 r
report n-values people [0.5]
$ H& ?3 \3 N. O3 Yend/ \0 b& P; T+ g
% n2 g5 ]4 H, d7 o# r4 Z: F
to setup-plots
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set xmax 30
, i9 W/ `, L4 X5 s
* A& R. N1 D' pset ymax 1.05 |9 D! Y8 d% Y/ x0 o6 X' @8 e9 p
( x* e" |1 K& T+ k' ?. `0 B( Y8 q5 ~4 t
clear-all-plots
, z2 [' f, X: X6 J0 U! j
+ ?1 w% m( m; Q5 F' Nsetup-plot1. i- R! E% V3 d* g8 ~# `
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setup-plot2: C) v" s* L q1 F- N
* G+ z3 d S7 V4 o& N( ?- X( zsetup-plot3 [) S$ R" O1 B8 J8 h9 C9 ~: L8 s
end# F4 k) u; O1 Q) y4 K* [
, ^& E% q1 ~. n8 \* N;;run time procedures
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to go
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ask turtles [do-business]0 ^* U" s: z) V, q0 T
end
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to do-business
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( a' a1 r2 g W5 ]8 x, }5 Q3 ~# ?& g R. d; R
rt random 3605 X: s( h5 a- a$ S# G7 ]
}- r# Z! ?) ifd 1 E3 S. J+ u' g" t6 c1 i
: r6 n( q: G( O: ]( ^$ w( U
ifelse(other turtles-here != nobody)[$ I# H) l. Z1 M/ W/ X
! |1 z+ {" Z# h: Sset customer one-of other turtles-here" Y& E& j, M2 z' j: W
+ u% b* k: a/ J" t0 ^# J
;; set [customer] of customer myself
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set [trade-record-one] of self item (([who] of customer) - 1)8 [7 \- d o) k! J
[trade-record-all]of self& U; P3 q3 T, F. L
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
0 y' @- N$ S/ n9 h& A! g# y1 b" Q1 X5 D9 q# V
set [trade-record-one] of customer item (([who] of self) - 1)- v& Q7 z* h& N3 t, k R
[trade-record-all]of customer
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set [trade-record-one-len] of self length [trade-record-one] of self
( B/ }( X! E$ h# Q1 v" Q t0 V* }- {
set trade-record-current( list (timer) (random money-upper-limit))$ R1 w' O2 \1 _& {
( z3 @: @7 X) b1 N. B& q$ uask self [do-trust]& F: w$ R, |! x' }* y
;;先求i对j的信任度% Q0 q" u( C5 d4 P6 B4 i
2 @: b6 R: n( `6 ^& Y' N! h
if ([trust-ok] of self)
7 `2 L" ?0 N7 c;;根据i对j的信任度来决定是否与j进行交易[% A0 O- y! j8 U3 s, v! e! g8 E
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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* X! j$ o0 R4 \5 h0 x3 U[5 G( v( D4 ?3 d+ A9 E7 ?
2 ]. k0 `0 B! c" w0 K
do-trade
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+ l0 a7 @' g. x- _/ e2 ^update-credibility-ijl
# A* v* i' c2 f# Z0 c
0 o( ]* v9 i5 M' p- Cupdate-credibility-list" W J( }2 T4 q
% L: N7 t) s1 U5 i( ^' [6 b4 ]9 s/ `7 Q6 i4 w$ {. G% k0 Q8 r
update-global-reputation-list
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poll-class5 C _9 Q3 ^' h) Y1 ^
7 k' z% ]; l& Y2 M/ D
get-color
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3 J* J' K3 `5 O$ j9 v$ y1 H- r' G]]
! r5 ]* g5 ~9 F/ g1 X3 L) `+ ^ N* t/ ?/ S
;;如果所得的信任度满足条件,则进行交易
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[% J/ \9 n# d2 F- g
. p9 A, c9 k* i8 @2 M
rt random 360" x8 |4 Q: p3 H$ |/ x5 e
6 k. m9 c, y8 [
fd 1) O% U6 L) P/ b/ G: L
# G3 P- j1 v, p) |" ]5 V4 v
]
# N2 y {0 `. s; b' s8 t/ S2 d% |& r& Z" W5 E7 ]" N1 P
end
5 K7 w. g8 R3 J3 p$ C& f3 u' T
! V) P& m, ]# Sto do-trust
& T) t" o& N; V0 y6 X d0 Nset trust-ok False3 y& N4 Y8 [3 O: I% f+ ]2 _
/ n& I; I- `* ~* s' C+ K. v: K5 l8 B4 I% J) L% T
let max-trade-times 02 ]7 n8 v) a. c6 K: S9 r! s. {
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
) s0 ~+ ?& O. V. alet max-trade-money 0
- k$ K4 P+ H. G3 Y' A* O" M1 K' _foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]; ^/ V" S7 o7 X
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))0 \2 F! J- }8 ?& I3 G
+ `/ R: E9 a B9 d% d
6 \2 R6 j: G* C7 u
get-global-proportion; ~. d0 K9 E8 C' v$ l6 ?5 N* f
let trust-value0 r( V3 \& W, z1 r
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)) X; s6 C. J- c: O C! I! p
if(trust-value > trade-trust-value)
$ l. `5 M% p# B; z1 L4 j[set trust-ok true]
2 O7 `- O5 {: Aend
% R! e1 g ^! ~" _) G0 y3 X, Z' c
to get-global-proportion: m# L U2 I5 y% X+ g' i! h
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3), l, E& ]; V( x" D. J9 A
[set global-proportion 0]( ~; {6 W. y1 p% x. ^
[let i 0
* M1 Q" L8 y+ y' p% ?let sum-money 09 g( S$ @% B, M% P# O8 ^
while[ i < people]5 b. N; W7 t) B
[0 [8 M) _3 x6 ?2 A: P% ?( q2 B
if( length (item i% b' _1 U+ e2 j K% b& i; s6 U
[trade-record-all] of customer) > 3 )( _: N3 z0 r3 G# C
[
% k6 w, D! R9 c# |set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
" ^+ f9 g2 l( c; _ u5 b; e]
& j5 O2 S. J, I]4 g! A/ }: T( {8 H7 }
let j 05 F$ `" D% q$ {2 G% p0 r. |
let note 0
- P2 F' Q. v- _2 K" [while[ j < people]2 N/ I. Q% t w& }% }7 H. P
[& L9 |! p& i5 j5 O9 R( K2 L1 P! o( ^; Q
if( length (item i
% v+ V z3 L5 W1 t- O" q[trade-record-all] of customer) > 3 )
7 s; x1 D& d: D[
- p8 t% X( z' N7 s8 `& J/ _( hifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
; }3 p- v4 _5 d' Q7 t. d[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
6 M4 x7 l4 I- G4 a[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
+ F9 t$ z) ~; Y5 d; c% y1 A]
' G+ ?& F3 a9 W- c6 ^! }]
( Y4 \' ]7 k8 V% G+ g0 a) ~/ b* E# O7 `set global-proportion note! [- N4 h' i+ z$ T) T: R2 ~) V
]$ C/ \$ B7 l7 K" V+ x
end
: Q2 M$ l+ ]6 r) P. `8 S" S8 K6 _$ P$ i8 M/ m
to do-trade& L; Y) ?! w( B3 }& |
;;这个过程实际上是给双方作出评价的过程2 J& q% k/ K- N- E: c$ y
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
: G; H8 m, p5 w0 oset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价) i4 c+ @% s0 `
set trade-record-current lput(timer) trade-record-current/ d' o& [, w; \/ @
;;评价时间
3 E- _: x$ t' j" B, n1 Y4 Mask myself [/ y. `( t2 q2 Z
update-local-reputation# Q+ L+ o9 q/ B: P- V! U
set trade-record-current lput([local-reputation] of myself) trade-record-current! ~3 g( p9 G9 c. q, z8 ^3 g
]. V6 ?0 P- H9 h6 y1 w
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
& o6 H) \# j, M7 B;;将此次交易的记录加入到trade-record-one中# N, _3 @* ~; o& Y; a* G+ F
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
! y$ L2 X+ f* v$ Hlet note (item 2 trade-record-current )
* c5 H9 N! O" l+ x3 rset trade-record-current/ o/ K5 n* z% a# \
(replace-item 2 trade-record-current (item 3 trade-record-current))" I" f% Q! u. S8 M
set trade-record-current
# l& [: I; k% R2 ?" @5 N2 x& a \# G(replace-item 3 trade-record-current note)
/ _- s" C& y# x+ D3 B$ [" P8 P4 U
& D+ {! v) k, P+ v' [
ask customer [1 O {/ T; p4 a
update-local-reputation
: P9 S9 g- m; e" `0 a/ w. pset trade-record-current
: J5 c0 {: v* p( ^( j/ M(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) 0 J4 l* K9 O2 D
]
, P/ H. B' g" p7 x" g
4 b* e3 a) ~" T8 V) R% [$ y, B" L& U% y
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer4 ~0 Z. }2 V* ]3 }8 I1 d
- N" `" U+ T) R6 `0 Wset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer)). ~0 e" w: Y# v7 M [+ E. R
;;将此次交易的记录加入到customer的trade-record-all中7 I, x. {3 x5 A: ^% d f8 z
end7 G1 Z5 q+ ]; w( q. A
$ `+ A! q) Q' a$ ?% ~
to update-local-reputation8 T% W( F/ K! m8 ]+ S% k& z3 S2 \
set [trade-record-one-len] of myself length [trade-record-one] of myself8 f3 P4 q# w$ i" T4 x3 `2 I) ~+ l2 o
% |4 P% ?4 o8 P
+ k$ \+ R- F# L;;if [trade-record-one-len] of myself > 3 " k _" w2 Q* |, _4 k8 `, P
update-neighbor-total6 `3 @2 z" p. Q- R8 o+ C \
;;更新邻居节点的数目,在此进行
0 [# n" A9 `( r5 t. l; U+ {; r! S5 |let i 3
' C* Z6 j8 d8 n; B; c" Wlet sum-time 0+ Q5 G1 W8 L: W3 o( O
while[i < [trade-record-one-len] of myself]
' O c( G) L* X/ N) z0 o: X9 L[
, [7 | R% n0 k1 I. V4 cset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )6 C' d4 Z4 u4 n1 P0 l# U$ c
set i1 ]+ g9 L# z6 j4 }4 @7 o" {
( i + 1), q" P7 _) j! P4 q
]
9 }* n. C( m6 Y8 V0 p& [let j 34 j* T* h8 Q" p5 E
let sum-money 0
/ S) ] R. O$ N% a) Jwhile[j < [trade-record-one-len] of myself]
, y2 c2 b" X9 q0 w[2 L. V! B; x8 N2 I2 h) ~, {+ w. c
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)
7 A: q) }+ k+ T; fset j
/ b% x' y$ z8 U6 Z( j + 1), e; e1 a0 O+ Z9 K: h
]
0 T$ A% ? @2 s# xlet k 3% k/ c5 W5 e% Y8 a' A# w
let power 0' B( X8 ?$ T; C {* ]4 X
let local 0
3 v4 E& @% h2 D" `5 H. y% bwhile [k <[trade-record-one-len] of myself]: Y7 m8 R- U& X6 C$ S; q/ a* L
[: t! l; X0 ~% r7 x: e \4 k5 J5 z' T
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) j1 `9 `# Q" }8 m8 O1 Y$ B
set k (k + 1)& [, U( p- j; e& V4 g4 b
]: C g% I; q5 }3 ~* p7 R$ s, `4 Y4 X
set [local-reputation] of myself (local)4 R9 i1 w6 K+ g6 Y/ W
end
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to update-neighbor-total; w# K, ^$ l, u) W! q1 ~
- k# V# d' n: hif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]6 H8 K% R1 _. B! n3 R
/ L% X% M6 }" H8 X' b
9 w8 a9 |, o8 E1 X7 x3 n+ O4 Mend
4 i* ^# J4 v3 Q& h% v& M5 L* M1 K3 I. b5 ^& d2 G( }+ x
to update-credibility-ijl & }& Y. Q1 j4 ^9 ~ X+ ^7 U
( N: [/ n. N3 ^' c
;;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。" p& ?; Q) r0 H5 ^
let l 0
* C3 I4 g+ L8 B9 h) {while[ l < people ]
5 h! P. Q( ]. |4 [0 B0 m9 C;;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7 u8 M g* E; Y+ }5 `
[
9 s' Y6 D. X! |2 O# X8 @6 _( Hlet trade-record-one-j-l-len length item l ([trade-record-all] of customer)* n5 o% I* a* N/ K g( i
if (trade-record-one-j-l-len > 3)
9 O7 A% Z. k) L9 O[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: q2 j$ s. p( O' J
let i 3
1 C) P4 O: z- b @2 l% a/ ulet sum-time 0
4 V3 A. x0 i; a# b8 X+ qwhile[i < trade-record-one-len]& K) Z8 P) C0 ]$ C
[/ G4 c* M$ w8 q2 {7 u t
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )# x' C' c1 k& c( w. }0 o
set i" `. v- z6 d2 g' b# L7 h4 n
( i + 1)" p9 y; z8 |5 _( Z+ b0 w9 C
]2 M4 z6 A, _0 A# x( N# j
let credibility-i-j-l 0
+ i9 q5 |: e( t& z( r. q;;i评价(j对jl的评价)
) L% ]0 C0 ^8 U, Clet j 3
% ~/ \: m7 X7 r7 ulet k 4
7 y' F/ A2 g5 m; n1 ^: E; B3 Fwhile[j < trade-record-one-len] i9 l. B' x2 u+ A# u8 D1 Q8 G
[7 J; G, y6 `4 ^$ ?3 _3 N, G
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
5 u) w; l' u) E$ ], j, e! H3 |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)) q4 B4 Q& P: R! \# K
set j& ~+ r0 X# c- O; |$ e# y9 i7 i
( j + 1)/ N9 Q! \' g% K7 {
]# W0 [# q& `* Q5 L5 ?
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 ))
' O+ j" G# b7 i$ S" S7 u( ], h2 h2 h+ P8 J+ }
4 G& L% M/ C; P3 G6 s( w
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
$ S. L1 I! j" m" m2 V;;及时更新i对l的评价质量的评价$ i9 m$ Q1 G& H$ h/ a+ s/ w( q
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
# I$ o% p; V3 @+ q4 Eset l (l + 1)
" f7 m- q' [& q5 S]; m1 Q& H# _% C$ I
end
2 E9 |1 B$ `2 ~1 R$ l& z
! O6 G/ j2 V$ a8 ^to update-credibility-list
8 J, T( ~4 _7 D" }; C8 H' Slet i 03 V. O3 d. x/ M2 @$ d" _% s
while[i < people]4 e+ n' e) A# H, h7 q% \0 R7 f7 ]1 w
[" q' y2 U) Y% S; m, M7 u6 i! o0 _
let j 0( Y+ }3 W. S8 ^6 n+ g! T
let note 0
& q9 o# \: @. q1 ]. ~: M. z: q+ L7 Blet k 0; }# }4 S; V/ H O: n' f
;;计作出过评价的邻居节点的数目9 x# c% D& K- Y2 u* W) l# |" C
while[j < people]; h; w1 e1 X- L* V
[" n0 [. ]) h5 ?* B% r3 P5 F
if (item j( [credibility] of turtle (i + 1)) != -1)
6 u" @ b/ Y) E) \9 c2 };;判断是否给本turtle的评价质量做出过评价的节点
9 n4 { d) @9 k! U- U; W/ E5 j/ h[set note (note + item j ([credibility]of turtle (i + 1)))( L$ P% E$ j# W- T9 ]+ f
;;*(exp (-(people - 2)))/(people - 2))]
) W& r0 l0 v/ L0 U# z5 N1 Uset k (k + 1)
+ H; Q2 h2 t6 t: P]" _& [# A; c; d! v4 }8 c
set j (j + 1)6 J" Q* J3 x; _ M
]8 m: y: U8 l9 [
set note (note *(exp (- (1 / k)))/ k)
8 O; Y! \* V f& C9 I7 G0 Fset credibility-list (replace-item i credibility-list note)) Z9 v7 B0 h" O3 ]6 H* W4 m, U
set i (i + 1)% x" G" L' L$ f( Y
]
0 R$ d) h2 v5 x9 v; a( F e: W8 Lend- b0 C! ]- L+ O! I2 l' c* h8 i( t
9 a8 @/ L( h* l3 V6 A* jto update-global-reputation-list* `( J+ F" [/ |, C0 K; `* q. @
let j 0
) @ D: x+ y) S/ N! }while[j < people]
- i' n5 L2 x0 O' `% E/ \[
8 b/ C9 a# k" Z& O/ o, glet new 0
. v- i) U: @- a( {% P; R;;暂存新的一个全局声誉
5 `8 Z' N. g4 Q% L; b* H2 K4 blet i 0
& @' Z+ O! s; i/ ]2 Ilet sum-money 0. i5 |& G0 t9 O1 U
let credibility-money 0
7 A, Q( j3 R6 `5 e+ e5 J2 Wwhile [i < people]* {6 b @8 Z5 k Y( g+ v
[
/ o6 Z, L- T' A6 Sset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))% [% D3 ~& P, Q
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
4 q8 _* G" y, _+ r iset i (i + 1)
- t6 d0 h" ~- f i]- C1 z( D; U: H8 W
let k 04 K/ h* E+ o& D& O+ C9 [7 \2 A, f
let new1 0
) n; D' ~6 D6 l- d) Z3 j3 a9 Cwhile [k < people]
q3 V( c& V. W[
6 d; Z# r/ r; _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)' k7 E4 t6 d, x; c7 Z' B" L5 J' F
set k (k + 1)# b% o* c" k3 s: p0 H
]
0 h* @& J6 _9 R7 {$ V: @set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) ! L- f& F0 U3 D' E6 T
set global-reputation-list (replace-item j global-reputation-list new), S6 b: z: W! }( K. v) `1 e3 O
set j (j + 1)3 F, v! l2 ^6 K2 r$ k5 x7 T
]
" w8 F: a# t/ xend) L/ K3 v; l7 C% {3 V0 k' d
7 k# J1 x' j) w7 H- H4 T' R+ s4 g4 v; G/ \- l: b
" E- V2 `# k) g; y: T Eto get-color
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set color blue2 [+ M! C/ O' N8 d4 B7 O. N4 @
end
' k! m; C: h Q. ]$ g; d- m
6 G; {; |% V; F$ c: V& Rto poll-class4 s; M$ [8 w: I: [4 ^7 b
end v1 j( p8 j( J+ e* c" I
, j; B# I4 t& v. m: d% ^8 _
to setup-plot1
, a2 u& M7 f$ b. {2 n( Z3 L. R3 w, p0 R
set-current-plot "Trends-of-Local-reputation"
$ ?* c2 U: o. I& z- }
) R. ]; D( l2 J1 R7 F) S! kset-plot-x-range 0 xmax
2 U9 |# U# P6 b0 s0 \3 [: j8 i! t1 U/ W+ @, W+ b9 K) u! @6 I
set-plot-y-range 0.0 ymax
4 G0 Z( ?4 Q8 C- x6 Z( [end2 Z, _! u# O I
0 k9 U! I2 e. L6 j# Z/ M, D
to setup-plot2
4 p. {; V8 J, q9 \& [5 V: \$ j! y! X& A3 y. [' v5 u
set-current-plot "Trends-of-global-reputation"
) [8 e$ j% g+ b ` P0 e |7 G
" J% I- i7 I8 Q, W4 U4 k. e0 `' J- ~) {set-plot-x-range 0 xmax
- D7 ~: c0 @( X, P4 L) g% V
* r5 n* x) ]! C0 [$ qset-plot-y-range 0.0 ymax1 t G7 W2 x" ^+ E# E1 }
end
! |1 {0 Z- [. e! Y3 b' v2 A- n) u/ f; ?# C; X6 q
to setup-plot33 X# y; ]% ]0 Z' M$ v2 }1 o, t4 G
' L5 K( d9 O( |- ^- ~2 L: P% Wset-current-plot "Trends-of-credibility"4 A2 k- H# Q, X" g5 j, Y: p
" E$ t8 {1 z$ S" m& d1 [7 H
set-plot-x-range 0 xmax1 K, g' P$ }: N4 _
! g: Z k! v. n# s% `. V
set-plot-y-range 0.0 ymax
6 \9 H) P+ Z" j5 e1 Oend
2 x9 M% }: R: X/ B: ~" F' P: q" k5 U w
to do-plots" r9 |/ W& a+ n
set-current-plot "Trends-of-Local-reputation"
' u5 O5 n+ ?/ x& O1 p/ m9 Qset-current-plot-pen "Honest service"
: f. Q2 \' @$ Y1 R( D8 Gend9 h- |6 W& I K% ?* o9 C2 {, m3 n
; C+ s) r) X4 K' G1 T3 i! v& S[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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