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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* n2 v2 V; O1 ^( B
globals[
: l$ x& J4 Q% Q7 n8 bxmax
: z3 E% d5 V( o, N! B" Gymax
, P6 g, H* m+ k8 G7 c6 dglobal-reputation-list
0 ^2 u0 F! f7 z' c# G3 Q% n# t, h7 W% Z# q8 d1 w: S9 Z4 U
;;每一个turtle的全局声誉都存在此LIST中
! y0 L2 k O. }7 x( Zcredibility-list
; P. _- H% {1 P% I$ R! t7 [0 @;;每一个turtle的评价可信度) Z8 R D! p: X/ `8 B" H; H. y) z
honest-service
9 S6 `, }) _5 M$ T' m, c1 vunhonest-service
( x2 E. q8 _6 \oscillation
; J1 a8 z4 p" g8 crand-dynamic% o, y4 y. i. k- _+ o5 E9 |8 A) H" S# w
]
: A) z7 ~& m7 U. |" |% E1 i: N
- q* R/ X$ p+ k* e7 Bturtles-own[0 U" x3 K7 u! }8 Y* F" ]
trade-record-all! l* C, t6 s1 b A4 g
;;a list of lists,由trade-record-one组成
& Z+ h6 Y; D) b% [9 _8 `6 ttrade-record-one$ t3 W7 @% S% E4 N5 y8 S; F' 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
0 |8 }- n1 p: E4 [" r
+ t$ ~5 J# D4 n. h* h' W;;[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]]. T! a! X- L+ M" C! }
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]
2 D9 r9 o0 {4 T3 l4 \: I' O8 [& E7 S% I9 dcredibility-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
# `% T, o& W8 i2 z9 c, Z. uneighbor-total
# A3 C" G* l$ s0 T/ k0 Y;;记录该turtle的邻居节点的数目
1 t m, M) n. H3 m ]trade-time
3 G4 j/ y& |8 \! c5 T% v;;当前发生交易的turtle的交易时间
0 A6 C% K, f2 X" |& y9 H& Gappraise-give
6 {$ E9 o2 @/ E @ K;;当前发生交易时给出的评价
y* ?* N( z. {7 m8 r6 P) n6 U6 y" Fappraise-receive# l+ i2 z0 H2 x1 J1 z
;;当前发生交易时收到的评价
* h! ?7 i. u/ L; O3 V" h$ S' h, [appraise-time; F# i* K" O+ {2 ^$ H2 _
;;当前发生交易时的评价时间
2 L# A0 c/ j3 Glocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
* u8 [* x7 G; z! C) ?5 F" ztrade-times-total; c1 m4 ]! Y/ v2 q# E) ]) A
;;与当前turtle的交易总次数1 M4 I* g" b* Y, a! K
trade-money-total
2 [1 n, f: b0 x: @: t1 r;;与当前turtle的交易总金额
1 P% |9 s/ v; p4 o( Glocal-reputation
( Q" ?5 y; L2 C, u l+ H7 h; q3 tglobal-reputation
# J- S) }9 p$ j. _( s! f1 Pcredibility/ l, m( P1 g1 |6 Z2 H: V7 Q
;;评价可信度,每次交易后都需要更新
- v6 A4 m* c8 T |4 K# Z4 kcredibility-all
8 _5 @8 ]' n% r, \/ m! w;;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
, f" W1 H1 C- Z9 Z- |: `
- a4 Q3 p$ O. {7 P; X! L& n;;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
: f0 x8 L Y ~* \" P0 _1 Ucredibility-one
0 ^3 E5 U( C, R2 T) B& W- K6 c;;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+ h! X2 P8 t: _ D* j5 K N9 Z3 L
global-proportion" ^) t( e4 m m5 D. M* v$ P. V9 c
customer; F: Z2 l/ ?$ l% l5 ?, U* Z$ M0 e* j* R
customer-no
# ?3 S! L, m" ~7 Atrust-ok" J. Z: ]. T7 _: M8 a5 e W5 q% t
trade-record-one-len;;trade-record-one的长度* m, ~- ^) F# ]( t
]5 x& Y1 |& q/ a7 S* E) [: O
1 \& \" ~( U( {/ D;;setup procedure
5 E' v( H( I& A: @& e% c4 B5 e; ? {1 [0 e
to setup' P$ C. ~: Y; h% ~6 H
N) Y9 ^" |, I+ N4 uca/ ]1 J M3 E$ }# f8 }3 j" ~
( n6 f) l* E/ I9 z
initialize-settings
$ m2 f+ [4 \- {7 I8 B# e& B4 F% W1 i9 `, A/ A
crt people [setup-turtles]
( f# L# f! t9 _( \; U M
6 S5 C1 h: o) w# lreset-timer
. _4 K2 q4 Z1 H5 ]; z! a4 u, X# Q0 I- w$ t/ Z! o
poll-class
. x! E: u% M3 x o2 D
5 ?0 b0 W' s. Rsetup-plots
8 }& _' U( `" R, A+ |7 A) }. d/ R5 ?/ G
do-plots
" B5 r, x' h3 `! xend) F5 t! H: |. `( H+ t: J1 \
8 g4 T4 x5 R% @ X' d" cto initialize-settings% r( @/ h2 P" r2 E' j6 f
/ k5 a+ W8 P: kset global-reputation-list []1 D5 g8 V9 A' W& ?2 V) _: z
5 k6 i; f* ^ r3 |& d2 I) Z R% V# ~set credibility-list n-values people [0.5]
1 B0 x- e+ ~9 O$ d3 L' W7 N" P$ T' X: _" _8 i6 E% z) G+ B& t
set honest-service 06 A. z- x! O# m
! ?: n( k( B1 G, z
set unhonest-service 0
3 D' p s) O( l8 t* A7 o' C: f0 {% K% |- F H) Q
set oscillation 0# C9 T; q; n9 S1 `
) U) b, q5 |+ ^7 `set rand-dynamic 0: j( t: H: P7 @0 O( g. K* C
end8 s6 d( a6 d5 U7 L
$ _, f* z- ~" i2 R; h3 ato setup-turtles * a5 X H1 {( h7 G- `
set shape "person"
8 T3 Q% u: ?6 t7 G/ b9 Q2 zsetxy random-xcor random-ycor `' @, X+ w$ y, ]4 t0 I
set trade-record-one []9 w) N* E7 Z M/ w
% l# K; c' j M j: K2 |7 y" d: } Mset trade-record-all n-values people [(list (? + 1) 0 0)]
9 T' Z" }/ {% O% ^3 f. M- c& c
set trade-record-current []+ W3 F' s$ I8 J0 L: D7 T
set credibility-receive []
" S( {: _0 `8 m" H$ S( u. wset local-reputation 0.5
b: ?: W' p) K! `7 bset neighbor-total 08 y6 y( ]1 [* n: z! m# h
set trade-times-total 0
' @9 |* V, t! t# ] N" gset trade-money-total 0& j1 r2 b! r" P/ ? m+ i
set customer nobody3 k. w# V5 c# Y5 h2 y" {
set credibility-all n-values people [creat-credibility]* @! j4 T6 Y0 f5 ]1 O- Y8 ~6 m
set credibility n-values people [-1]
! L" f* C8 U* |/ j. oget-color( R) n+ P9 m2 V
. s$ K6 d. x) @end: t& L+ ~; ^4 Z8 m
3 Y3 b# p+ u/ X& b1 j; T) `* ~% S
to-report creat-credibility6 E2 J8 z5 M; v8 y+ ^
report n-values people [0.5]) k8 |3 j/ i2 a, V5 ~
end% Q r* I9 W4 ?# @0 d% t6 u6 W |
9 g3 O# F8 O5 Y4 U. Ito setup-plots ?- Z) p+ _: \$ u! W; j/ v, O
# K* T+ l& F! d5 ?+ {& b
set xmax 30% j; K& i2 t9 l/ S3 G, M3 I" ?& n
- V: B5 b% b1 N$ o/ P- ?set ymax 1.0/ s, N4 X$ H: F' _
; L$ j ~, S$ I( q5 gclear-all-plots: ^ g1 [* V3 a3 a2 T
, K; y/ T' U: `8 Y8 ~5 t- e0 i9 G3 {# vsetup-plot1- F0 J- D+ X& m; ]
3 P4 Y7 `7 f; G$ o" \) U
setup-plot2. \+ ~5 K) k5 G' z" _
5 u) {, Z! ^* ?4 g: |: r( y; n* Usetup-plot31 A: S1 V& J. d5 {8 s) ^
end
4 y& V' `' G8 a/ u
+ U0 u+ b: g$ @, E. P;;run time procedures2 Z! n1 j8 d1 i0 E2 p- B; e
, ~8 I) x, f U7 ^to go! H3 K! k Y" T Q/ }
. R: z" O8 N9 L. d9 R, E
ask turtles [do-business]
( Z, s( F: K# R. ]& r4 w$ }end
& n4 @/ c' e" r. A; S9 N, k
- p3 O p" [% A9 Yto do-business
% P- v/ L& l: m9 c& O
. m* q9 W" F% \; ^2 T) i& `% X9 i( }, p
rt random 360& W# l x6 {) T! v$ m
) n3 \: s3 R+ S1 Z+ j8 {1 rfd 1
- ~7 U# w+ q1 {( B/ i+ \. y) |) w+ x
ifelse(other turtles-here != nobody)[
$ U' W& y0 g* [. }: u
9 J- r& G$ s) v5 lset customer one-of other turtles-here
& c4 Y u. r! e) O, M, {2 v
6 Y$ g! w1 B0 Q# ]" H M' U0 E5 }' P;; set [customer] of customer myself
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/ _2 Q* j, D1 C1 E1 P" z+ T5 cset [trade-record-one] of self item (([who] of customer) - 1)( A7 } s1 T( t) x! [
[trade-record-all]of self I* t- |( j4 ]6 S( j8 b: e$ A
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
/ d2 X0 S2 q% v6 {2 i7 g2 t( Z
set [trade-record-one] of customer item (([who] of self) - 1)
+ `5 ~; C# [& M4 l[trade-record-all]of customer
7 ~7 o) y* X8 f
7 I* u" Y# X# C+ w' _9 tset [trade-record-one-len] of self length [trade-record-one] of self% B( m. S) H' o" y( R; e
( M1 \( b+ _; R. ~ U, Mset trade-record-current( list (timer) (random money-upper-limit))
Z# k+ }& U2 g4 t, l
% u2 A. ]' e. X# kask self [do-trust]1 E1 D; A* f3 Y& t; n. `3 A9 H
;;先求i对j的信任度8 g: W2 g* T! Q1 y/ ~2 Q- k% g
. h- C2 p: B3 _3 D/ `' ]
if ([trust-ok] of self)
8 f& y9 N7 s& L1 P- X! K;;根据i对j的信任度来决定是否与j进行交易[
9 x3 o' ]/ a: }: d' D2 Gask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
3 }/ j: q4 e3 O8 t v4 `$ K& K; s% ?0 r. k' Q4 Q) v
[
2 v- L6 m+ r6 m d
4 l! ?$ F4 ?8 \/ jdo-trade. a% n" M: V$ z+ I
$ E/ g, Q/ w# b8 O( X/ N) ]update-credibility-ijl4 S3 E# A, b. f* \+ Q
" G7 i6 n+ ~% p
update-credibility-list# b+ _8 h# B a0 s1 c
# ?, C! o; o& i; s1 e
* ~4 t9 y& \: f- Aupdate-global-reputation-list" f1 Z }6 y! Q4 `% L# Q
0 A) g# `0 a' X: Spoll-class0 Q& R& b8 k/ J) `$ R
, x3 G* p8 ?% b6 b
get-color" z" C& y3 r7 ^
$ F% s5 ]2 l" C( O]]6 a: D6 i$ c- G) e# M! @7 H+ F
! v% l; o! {( ?
;;如果所得的信任度满足条件,则进行交易' Q& J/ i% y" L0 \0 C
0 ?1 ?0 p e- w2 W ~[! F8 h! P& |3 D8 B% n# f U
) B+ b+ D7 c, {' Zrt random 3609 `% ~' V: ]# y$ {/ r- ]9 Z
5 i8 u4 r! M9 S/ \. s" v
fd 1" C. q: J2 m7 x9 ~* t
, ~, e! r" @2 b# k]
4 T$ u2 Q( \' a
2 S- i' X6 P- q, \, y# \# Mend
) h& M3 W, F8 b9 W6 Z/ J8 L' f k
% { e: @& x" s/ t' uto do-trust
; ]4 z* A3 K2 |2 X( i( f& ^set trust-ok False! I0 `& m6 U( j* p" [. l. }# D2 @
# v4 V# A( i( W0 i- C( Z
3 J5 _9 N& j8 ~4 i0 g9 Q5 |let max-trade-times 0
: L! K) X6 U% P Kforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]] D/ X, L! m5 T* N6 w7 B4 h. h1 `
let max-trade-money 0: q, V: \ ~ b C4 y, Q
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
' ~; ]! C C; U6 Glet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
7 W" T' Y% C: P3 y* [0 V
8 p5 `. z; q$ p! ~* |$ A7 u8 n
get-global-proportion& \2 k9 s* `! u- ~
let trust-value
! @- s5 k$ f+ k) ?# [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)
1 U, y A! H6 D8 S) s% }& dif(trust-value > trade-trust-value)
, p. t6 C4 @$ K0 e+ k[set trust-ok true]
$ H$ V" O4 `6 V) D* U. o- Qend
3 N5 G; u( o6 |
" O1 R9 J: U# v% Jto get-global-proportion
- h2 M+ s* f l# Wifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)) N0 n5 Z Q" P
[set global-proportion 0]- \% m: {( v$ X, b0 t+ k/ E# }
[let i 04 B8 H8 k5 s& V4 _% T
let sum-money 0
7 q# d' r. j0 i; N. f& hwhile[ i < people]+ l8 z2 C7 d2 s$ O" b; L! z
[
" ?* G6 s( V( V1 X2 Dif( length (item i6 E; }4 [, O! j& K6 U2 H5 Y
[trade-record-all] of customer) > 3 )' I2 F8 t* N9 u) d
[6 ^% u. \) S6 W* R, ^
set sum-money (sum-money + item 2(item i [trade-record-all] of myself)); S" T3 y- E R+ J0 S) ^
]* y6 t7 K4 i7 Q) @. e3 r N
]/ w: h: n e* P$ }$ h6 _ O2 a
let j 0
m: [5 D* k- d8 m2 |let note 0
3 x, G w0 h; e" u( s. @while[ j < people]6 g0 ^+ y2 Z! s
[
8 |% r# B# V! mif( length (item i8 s( ~* l- s( p; u4 `3 M, _6 {
[trade-record-all] of customer) > 3 )
0 Q4 d/ y) S; ^[8 U" J$ O1 }; h& {9 A/ _6 L& m
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1); `7 x# X" X3 m
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
) M& |! R% a W' z9 T[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
! C" l2 v9 `' C/ h/ U]) Y) I) D% k0 M* G1 s
]: q! i6 L. v& g5 P( M+ U
set global-proportion note
/ g4 {2 P0 c) @! H1 s9 u# T' O8 F]' S! J! p' R; J# w- G
end) ~) ]" r' K3 j+ W) r6 I
% ]- B! s5 K! o0 |; V0 M$ W# A! uto do-trade
. |) @; U) h' X/ Y% ~8 C;;这个过程实际上是给双方作出评价的过程1 h! Q( V) Y6 N5 C3 w" w: q8 p
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
8 b0 A" Z( z+ Q% }( N9 Qset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
5 H }6 l1 t; M0 p, A* Aset trade-record-current lput(timer) trade-record-current% Z+ e, b1 `) f: q) \
;;评价时间
1 ~% B1 L* }" V3 d* f; y+ O6 Task myself [/ P$ I0 l6 S* q; m
update-local-reputation# k8 n e0 ?# S) P
set trade-record-current lput([local-reputation] of myself) trade-record-current
; s3 {0 m7 C& G1 K]! Y7 J' H6 J* C
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
0 G( H. O% v9 y8 a; Q# G8 ]! D;;将此次交易的记录加入到trade-record-one中3 @5 s% L3 C$ u! K' }
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
7 v: j2 y J0 J. V2 l G! P6 wlet note (item 2 trade-record-current )
- I7 J! F$ r" F$ r9 Rset trade-record-current
0 |8 B* c' U. `( e/ z1 o: ](replace-item 2 trade-record-current (item 3 trade-record-current))4 H* J. F% U5 [$ C- C
set trade-record-current0 d2 u2 Y/ g* T( B# w
(replace-item 3 trade-record-current note): J/ g/ B0 \0 x% ]9 G& g
3 h8 t+ B$ e j
6 I, ?6 p/ y4 p
ask customer [
! u" y$ W c' g5 j5 |& ^$ A# Eupdate-local-reputation
, G6 \0 T2 K4 _8 iset trade-record-current3 }. u6 f5 I" \' I& J
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) " z+ O- v8 B$ O, _$ y! ~5 |
]* s: z' l# ]& o4 _* i, k- M' h2 U9 m, h
. g9 ?4 N2 P" Y- K
) a. O0 z' f9 n6 V* f4 C# Z# A% v
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
5 p9 ^8 d: G/ Y4 L3 u
# N3 M* y( M) O2 U# v3 T$ W7 i6 _+ ]! g2 Rset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
+ x0 Y3 p- r6 D: K% n* l;;将此次交易的记录加入到customer的trade-record-all中: E, k% |1 w2 H1 k7 d( g
end
1 X$ ^4 {" H. N& j
0 h) Y: A& g; \ j8 Uto update-local-reputation% m& {4 K0 g! I' ]+ O8 @
set [trade-record-one-len] of myself length [trade-record-one] of myself8 y0 v3 o% x: ~; N+ }, d
+ q: h5 J$ a+ u, M9 t$ `* }3 p& p6 k! _3 u" G( j2 _
;;if [trade-record-one-len] of myself > 3
) L% ^! x# w* p# D. d. bupdate-neighbor-total& ?* w" q# i9 z/ f
;;更新邻居节点的数目,在此进行
0 l; @7 Q! H9 D6 R p$ `; q" Olet i 39 Y# n5 N# x5 q% o$ G
let sum-time 0# |+ v. D3 J6 f. U
while[i < [trade-record-one-len] of myself]6 I$ F7 ~9 l" l$ \( x3 a) u
[
3 e# x3 m/ K5 h6 @' {4 z1 O: ~$ Cset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )9 n* ?! s6 r6 V R& G& z3 ]. m
set i3 y4 s! H, s+ n! A* w
( i + 1)
6 s4 c. B1 Z! [3 P B]3 ?; x6 x8 a* L" J, M) G
let j 3; m$ R) O1 N% W2 w
let sum-money 0$ T. y6 G' v3 m' `( }' o- P
while[j < [trade-record-one-len] of myself]
3 X; R$ w/ g/ ]( r2 e[
) U9 K7 O$ w+ g. b1 \$ Qset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time); d) A3 _; S0 Q, N" h
set j
; x: Y& G2 G/ ` u e( j + 1)
0 H P# O: d' w% z: B$ n5 Q, C* s]2 q v0 D, w; @$ l
let k 3# M! T9 Z; \0 _2 t* w' E; b5 G d
let power 0/ y8 }$ ]1 O. M; k* d+ a
let local 05 T' L% ^4 R0 }5 s6 V, i" M
while [k <[trade-record-one-len] of myself]
# j& `3 D G/ C; u[' u" k# ^" q. |. K A. G, e d: E
set local (local + (item 0 (item k [trade-record-one] of myself)) * (item 1 (item k [trade-record-one] of myself)) * (item 2 (item k [trade-record-one] of myself)) / sum-time / sum-money)
7 n& g1 z( H: m# jset k (k + 1)0 l& I6 z0 W9 B- [4 h7 K
]- q% M: {- v; M9 ~6 |
set [local-reputation] of myself (local)5 i' V* B5 D1 Z8 ~: {; F) @, V: O
end
$ H& \) h6 ~( D0 ?0 ?; v1 a' `: b) F
to update-neighbor-total. N5 W* A/ G5 S0 \8 ]. _ y
, F4 }) X2 G0 g d3 P% G: Uif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]0 H) C9 T; k6 h& ^: K+ J
1 T5 J4 S4 Q. B- E/ }; O; e5 A9 f* a0 V( n. q3 V
end8 {! ]: I& H4 P% S
6 e( @% n+ h) ?+ ]7 ]3 i7 W6 ]: ^
to update-credibility-ijl - D6 {9 l1 X7 i8 L @; Z, C! E4 l
3 ?! Z! {4 ~! Z3 _;;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。 L3 R$ w6 P0 d/ Y& y5 r( e
let l 0! p% f* S% P& d. L* f3 @' H8 b- c% M
while[ l < people ]
: Z8 c M2 m: @" Z/ J0 }8 C# J;;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, E9 V4 U6 v& M0 y" o9 _
[
8 ~2 c% ]7 ? v4 q. ]let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
* D* a8 l' B, T: l1 |8 R& K- A3 rif (trade-record-one-j-l-len > 3)
/ M+ t8 }9 V" j% H H[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" [# s& ]( |8 O+ {* \7 ~. a
let i 3
$ T; E% C0 K- n# zlet sum-time 09 L( [! F O+ \' B
while[i < trade-record-one-len]0 n% @+ z1 x, k+ C
[
! h& S* j4 c- Pset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )2 o$ l4 _* a0 N( t& p
set i" C3 T" T* ^- e% j+ ~$ Y
( i + 1)/ E; p; N4 }; c* ` Y9 z
]
- S9 ?$ X( @# q5 T0 F3 _: |8 `let credibility-i-j-l 0
7 |, B- \6 P# l; T/ @;;i评价(j对jl的评价)
) q* p; i* T& M9 } u" I; H' z; elet j 3/ [9 H/ v1 I6 ^7 q) {7 {
let k 45 I: ^+ m/ ~4 H3 a' k C* U; K
while[j < trade-record-one-len]' Y* q' i( Y! Q' d, t7 N+ _
[% `5 A1 r) s, K) H4 E: v" M
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; w; R3 p( I: d/ C) t1 J
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)( G0 l6 w' U2 r) Y
set j
/ o* l% G8 [1 E) l( j + 1)
7 A, s4 p5 n" Q4 t* l]
9 \ C% {9 _8 d& V0 _$ Eset [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 ))) \- C. I$ h: J
. {. h* \% G) Y) M8 D
" s/ a. w" K2 x+ s- y5 Clet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2)); X! ^! S8 i( _1 ]
;;及时更新i对l的评价质量的评价
" E& j% A, ^! @+ z, F/ W( dset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
+ i3 R4 j! l+ }5 h! L& j; fset l (l + 1)3 H8 Y: {. B% f/ X: Q9 a
] Q) o4 U8 \' b0 G# f; `: A
end% m& y& }2 z2 v% U
5 N9 j6 [: J0 z' K) W) m
to update-credibility-list
& }2 E4 R0 H" d! M: u, @$ ~# ~& llet i 0' k# e- j' h0 O' a
while[i < people]
& i% @ |# [! e* u& y+ N. B+ p[) W& A! g! W; _' y
let j 0
7 P2 W5 e7 I; ] S% w( q8 \let note 0
* z3 T$ x0 B6 _# @let k 0* F8 u1 h0 W. n( u; w
;;计作出过评价的邻居节点的数目/ r- ?& E3 G& C& B
while[j < people]3 e! J5 F- D' Q( ^$ W& N
[5 U+ O p D7 w @ X/ U$ N, ?$ D
if (item j( [credibility] of turtle (i + 1)) != -1)
1 Q$ `6 x7 ^* y. R L;;判断是否给本turtle的评价质量做出过评价的节点3 Z |0 c( ?' S, @
[set note (note + item j ([credibility]of turtle (i + 1))). K2 ^: a% H, C1 Z8 A* ?
;;*(exp (-(people - 2)))/(people - 2))]
6 p% p. W" w+ z9 ^! `set k (k + 1)' I8 y! ^& w, b
]; r% s5 C+ w3 p1 l9 e
set j (j + 1)
/ L- c) `" W; H4 h. K) ]]
: E; I. b5 L% I% t0 E8 e/ sset note (note *(exp (- (1 / k)))/ k)0 O, x% p( X" ?1 o$ y, @
set credibility-list (replace-item i credibility-list note)0 v8 {% e c: i$ ]1 {: Z7 l# A
set i (i + 1)
4 [, ]; L! i- P6 r$ Y4 V( f]
* \% n! y2 r/ i: A; a6 N6 ]+ gend
4 t4 E+ z# w" K& W. A9 K3 ~& B9 w+ H" b+ ~0 I+ v
to update-global-reputation-list7 B* [* L/ i8 j2 u
let j 0
! Y( r1 m" x% n. Bwhile[j < people]
- I. S8 N5 o4 b) B( V[6 p+ N' e# g" `- R& _
let new 0
% S4 Z2 M1 K, p0 M0 s9 f;;暂存新的一个全局声誉
& j u" W1 b; J4 L' E4 G8 Vlet i 0
0 u5 \% K1 L4 a# X7 r+ Mlet sum-money 0$ b8 l+ o# ~7 C. B, f3 O9 ]
let credibility-money 0
) r$ O! P: [6 m' g! g1 y+ \while [i < people]. A7 G" b# ~4 J- w- n
[% E! Q2 L7 n* W9 o% c I8 _/ K
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
9 D9 F3 k/ e) i4 M! _) h3 nset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list)). F! m4 C. M8 u5 r, [' I
set i (i + 1)
- @' V( X( C* [/ D' q `# K]
3 l9 W2 j/ ?: {let k 0
: W' Y. f5 C! h6 l* V5 G% T mlet new1 0
5 K$ Q- k* C6 ^+ F$ [, N" H7 q3 S1 nwhile [k < people]
. F8 T7 E# ?: @ b3 Q& F. Z. r! E[. G$ c* g3 h2 K2 z( I' i3 N/ U
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 _/ ~2 G/ G6 O3 L4 g! ]& L4 Q
set k (k + 1)4 ^. t9 l) _" h+ j! {- H6 @9 _
]8 ^$ }$ I$ u4 w3 k
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
9 F5 |" ^* }6 {0 P5 q, h* kset global-reputation-list (replace-item j global-reputation-list new)
5 X- L4 ?: ~0 m8 D. {! eset j (j + 1)0 ~8 g& p% Z% o
]
, P; \& f1 x8 n" Lend
& w; w* X8 J2 ] B! D& s0 D1 ] z D8 [6 P+ s% }' d
3 a) o: u% ?% u3 x, G; ^
7 [ L1 N: `; F
to get-color I) i* }% Y& _/ r3 T# u
# D* H, W7 {- m" A% Mset color blue( p! U; w( H% _9 K8 _; T8 E
end
+ [% g( S1 Z* m/ a5 z B7 w4 x
to poll-class1 V: k; \! ~! ]! Y$ W6 T
end$ f6 Q3 M! K8 h5 H
8 x2 R4 X, H9 X8 L& P
to setup-plot18 n6 l6 o# O5 X- U8 n$ a0 A7 T
( h5 C' \: [4 d5 L" {/ ]
set-current-plot "Trends-of-Local-reputation"
X* {% \4 N) P8 p3 q' L" j6 K3 {5 P
set-plot-x-range 0 xmax
4 H0 t2 t% B; @6 H F( l! ?3 R! R5 H9 B
set-plot-y-range 0.0 ymax$ Q+ R0 q$ t6 I
end+ q M6 H( t e: l
; H+ S! x4 G; n2 Q6 X8 [
to setup-plot25 b& _' Y5 C5 O4 R' F7 ?; e
' T# _! N; ?5 F' E/ Uset-current-plot "Trends-of-global-reputation"+ K; K6 G/ f' ]& j0 s1 f
+ c+ F% k' U' G7 Y* mset-plot-x-range 0 xmax
) g* j. K' Q, b. c1 Y, i/ x! n3 l+ r, p! k7 _6 _
set-plot-y-range 0.0 ymax
9 M6 B* K* O, iend1 m; ?) ]& Z3 v/ K+ ]
( {% l3 {1 {5 t; W8 l+ y, K
to setup-plot3+ Q# G M/ _5 P, s9 Z1 b
) V8 `, q0 O( D* T- h$ \% d! S% r
set-current-plot "Trends-of-credibility"
& E! p: i/ ?& ]5 I3 ^4 n
5 p }6 p, @# e( dset-plot-x-range 0 xmax
+ Z# l8 M: z! C
3 ]& l8 r& @% d0 n9 Aset-plot-y-range 0.0 ymax, n M1 V' y! b9 ?
end
5 }' k" a! J8 n& U- e- D; x9 @5 A* W% C. y3 ?4 R! m; f- ?0 X7 b5 H& l
to do-plots
8 n5 e. ]5 u& P" j7 k5 e, Y9 Sset-current-plot "Trends-of-Local-reputation") Q' Y3 @2 L! l' o
set-current-plot-pen "Honest service"
9 ` u) k* ~* n" F- A4 Q9 H# s, dend: j) b" H9 W4 R9 X* B
$ q& T" [) t9 c( J: [: d ]$ C
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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