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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
* B$ f9 t! D6 ]# q0 Mglobals[
# s3 ]. n5 ?+ x1 q g( `xmax
, u. e1 {4 [; I8 ^ymax+ K2 r. ]' G7 `- ~/ K
global-reputation-list% o# d5 M# n2 w$ R
. L" ?. o+ [: ?4 D% d; @' F' w;;每一个turtle的全局声誉都存在此LIST中
) |% `8 }0 i. ^: A( b5 Ccredibility-list4 ^' f# P, a, i$ ~. d3 j) r5 t* _# U
;;每一个turtle的评价可信度% j, b/ R. q% o* j3 a
honest-service9 ~# O' \% r, l3 q- U7 P
unhonest-service
+ d# U+ O$ s8 U, T3 c) l3 Uoscillation4 ^) s d: P, g- J+ n
rand-dynamic
0 F, L0 m) |; Y. j0 O]- e3 e- h# N, ?0 M& Z2 H# ~
# J4 r2 Q( k. P6 O7 t
turtles-own[) H9 c0 P3 K2 t" `# ^
trade-record-all5 n9 V7 ]: G; B2 B
;;a list of lists,由trade-record-one组成
2 V. M* Q3 @4 r# B1 f4 w+ l3 L qtrade-record-one
7 l" X, W" m3 I6 X0 p;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录5 H$ \) o" o2 K; w
8 P6 ~0 g/ M8 H# P
;;[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]]8 c: ~: q% S; [
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]3 U% x) k9 X: _& B6 G! \
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
1 X7 L* h# V, Z7 {4 M4 qneighbor-total p7 E' Z& v1 s3 G+ r3 |. h
;;记录该turtle的邻居节点的数目
6 h# \- V# G3 c& ntrade-time6 D# C$ E" U# n8 Q7 S4 [3 s- R
;;当前发生交易的turtle的交易时间5 O! q) y1 |9 j
appraise-give
0 |6 y7 X: N; H+ d;;当前发生交易时给出的评价- y' K3 _6 V) n8 \5 ^/ e* N3 T" _2 M
appraise-receive
) U4 r6 p2 u& [; W5 ~3 |0 x- q2 B;;当前发生交易时收到的评价0 ?) V( v1 F4 t3 K6 D
appraise-time
) M9 M8 O- p+ j% C;;当前发生交易时的评价时间8 p% B/ E7 a3 F- o' s$ Q$ j/ S
local-reputation-now;;此次交易后相对于对方turtle的局部声誉: r1 B: f6 w4 b4 K' N- s3 _; T
trade-times-total% Z7 S; g* H& R0 r
;;与当前turtle的交易总次数
' P: V' ~: E7 {trade-money-total: f: U. l( I _: e
;;与当前turtle的交易总金额
) j; e6 f/ t1 ` ^2 y& elocal-reputation
6 `0 J* ]7 K" X( P0 [global-reputation; f3 h; P& @' w
credibility
" a4 J; v$ B' H+ u;;评价可信度,每次交易后都需要更新
7 P% x7 b+ ]/ v: q1 G3 `credibility-all! @. t. F0 t6 V0 k
;;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8 J0 r7 H! k) ?* k
h _- G }! v! k0 [6 P2 Q+ r
;;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
, _; A/ E4 K' bcredibility-one8 N; k" W9 Y$ x1 ] 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: t* W" t0 v( ^ O& d
global-proportion
2 M3 ~9 B1 H2 @: X5 ccustomer
& C" r, ~2 U- a }customer-no
6 t. j1 Y; p; x$ rtrust-ok
; A: T W( @: ^9 ~trade-record-one-len;;trade-record-one的长度
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. G8 d' k. @/ \; a( Y
;;setup procedure
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2 _$ O" d: o3 H- X- Uto setup
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ca- o& S1 z& O) M3 @/ D% Y
. L9 Q! V0 m: Q6 Xinitialize-settings. b+ R! o! z# @. x1 t2 I( N+ n8 O
* k' f( H1 m1 m" a: x
crt people [setup-turtles]+ \! p+ A' s1 v. ?, l. _" r
5 q2 V4 U7 G: ?2 u' R# X# B
reset-timer
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# E2 T* b6 R6 M* `2 Y6 s) C5 apoll-class: M7 Y" K; y+ m5 a6 c0 Z1 f" z
8 o: }. ]4 w: ]2 Q( Ysetup-plots8 W9 g5 K/ }6 t s) h
' _" ?- [6 l+ U8 C: \/ E$ D
do-plots: R' B0 p$ \2 G4 s
end& i/ m* e! l; @2 t) V; ^0 r0 o! ^
5 Q8 h5 y. a1 W4 ]$ Z: bto initialize-settings+ d6 L$ N! O1 d2 \& G& m3 G
7 J3 f+ N3 l( _set global-reputation-list []- d; f6 Q, ^: l7 g/ P$ P$ K
; ?/ w& O1 }0 D0 }3 iset credibility-list n-values people [0.5]
# N, m8 D0 ^9 u
. i$ d- t$ M% K6 r; V) N/ f0 r$ \set honest-service 0. e* K* P! Z1 i& T% ~/ j
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set unhonest-service 0
4 d% b [ C0 {
/ ]& c- \8 ~ H) pset oscillation 02 C' r5 |) G6 r- p* ]4 T4 g7 X/ s
4 a5 d. x1 o7 B; m2 Q
set rand-dynamic 09 k; h. L1 [" {' Q7 o, E, k
end3 V/ y8 {8 w9 T9 O
$ q, ^6 E1 H( A! J% lto setup-turtles ( ]1 T- {2 C9 a4 y- D* T7 E, F
set shape "person"
. i6 C3 @* Y1 d+ Y Xsetxy random-xcor random-ycor' v9 j% e0 p$ ^) m
set trade-record-one []& h2 m, P0 Q4 T$ R4 J# @
9 Q4 ?; q# h8 T. D9 b: \+ d7 O9 A2 T
set trade-record-all n-values people [(list (? + 1) 0 0)]
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set trade-record-current [], S1 |# r, C0 ~$ d$ J
set credibility-receive []6 B* O: f' y) I5 i& z: v: F
set local-reputation 0.5
) l! _ B! ~6 U$ x: P: q( Kset neighbor-total 0
1 m! w' Z8 y( X4 i- ` @8 \1 K) gset trade-times-total 0( C% H0 {& y: E: E8 J4 ^2 _
set trade-money-total 07 r+ U( w# c7 T' E- C) K
set customer nobody
, T* k' U8 G9 ~; f$ w0 Vset credibility-all n-values people [creat-credibility]8 p2 C3 R/ R; B5 h8 Z# b4 p
set credibility n-values people [-1]
r$ E" A1 }) X6 e. Q5 o4 F( A) Zget-color. W' R5 L" I* |; G6 N
5 Y, B( U% i, U2 Q& M1 xend
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% `4 w6 ]9 @1 bto-report creat-credibility6 q1 |+ A, m- l0 r/ U' }, z
report n-values people [0.5]& ]+ r( L+ T' W
end
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to setup-plots7 e$ Q6 ]: q8 f
3 c4 G' _; b* t" q5 pset xmax 30
* }' g& T6 R3 s. O# j6 ~& F
# W7 J8 {$ X, M/ J, r2 O! pset ymax 1.0
4 r- h. Z G( j& r* r/ r& J9 T: Q6 l1 d+ Q) ]* y* w h
clear-all-plots
+ v6 i. G) w, L9 m. v1 d. \0 K8 f( o
setup-plot1$ c$ w* h+ G8 m% X; S$ d
) Z; M, J7 P, ?) v [! Bsetup-plot2
* ~+ B. S. e4 { c0 ]! ~8 g! }' v s: o- X) L
setup-plot3( `4 z: P) L. T. k3 t
end
. i# s+ f- a2 c) k
5 Y3 s O: V r0 h d;;run time procedures
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$ q: u& I$ ]! U& t. M K( n- Dto go
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ask turtles [do-business]
3 ~4 t, J3 V4 a; ]2 Xend
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to do-business & t: I5 z8 m1 i7 v6 k1 u2 E
O3 d) b+ X3 v# B. A8 D, P
! E0 `4 P7 D/ T( [. yrt random 360
" n1 k# H2 b9 H9 p/ L
% \2 a4 a4 R8 D( ?( `: F" pfd 19 g! I; |! G+ W5 B. m; E
8 y! c( X4 ^0 }; V1 f' ~ifelse(other turtles-here != nobody)[
# Z& R* ]. a" {3 O, N
8 ~' T. T) S( O5 G' i; A/ p1 Q6 ~set customer one-of other turtles-here. \/ D& b4 j6 R5 X+ e, I' F
' M6 j x+ p) }: l( n& \;; set [customer] of customer myself
/ }, u: ?5 I6 @" k8 S. ?% s/ G$ j1 `, c3 J f( b# Q
set [trade-record-one] of self item (([who] of customer) - 1)( z) o0 o" k* Z; K1 |9 S7 J7 Q8 f
[trade-record-all]of self
0 b B9 G3 p4 m. B;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
) M: R5 X$ ~1 z& J6 c. d5 f2 M
/ I7 x- ^! e0 l$ B4 v! r8 a' {set [trade-record-one] of customer item (([who] of self) - 1)7 @+ f7 ?4 L4 Q3 K+ G, V0 u
[trade-record-all]of customer& E' A+ ~+ b3 ~
6 W( a0 z5 f, q# f5 ^$ y* w4 fset [trade-record-one-len] of self length [trade-record-one] of self( M; T4 l9 ]3 W, t# I
* A- S& O9 S& G1 }! ^/ N2 Y
set trade-record-current( list (timer) (random money-upper-limit))
9 C" ~' g# K# V. P7 s
# g" d/ t V8 J; K5 Q0 gask self [do-trust]
" Z3 @5 l$ u$ }4 v;;先求i对j的信任度6 v* M3 l& g" N4 M
5 Q( s* p: b# M5 F; jif ([trust-ok] of self)0 u, s' N u$ a4 ` X" H% A
;;根据i对j的信任度来决定是否与j进行交易[0 H, y* V/ `$ s" G
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself. R( s4 f* `3 p: A9 J' a- \
- X& ^0 B# {8 {3 t2 c) ]. P. `8 D[/ |% r* i6 C' p; A0 ~
) O8 G, k) C4 g3 W9 v
do-trade" s2 X) S# L+ c3 B9 g
6 G4 b' ^" `+ ?+ R2 R# e" wupdate-credibility-ijl
) ]' G" M: j) k9 t& y. w
9 ~* I3 D$ g% o9 r7 A' @update-credibility-list# m& B5 j/ f5 P6 \7 \6 y k' p4 f7 r
# ]8 z1 f1 ?- W
0 U: Y/ i! E# w
update-global-reputation-list) a. v O% I- ^1 \% b
# u$ m, I6 n( O3 [
poll-class @) d) q' `* ^' V- R
& o9 {2 s* D$ X' n \0 i
get-color7 J9 H# ~' f6 E7 {: A* }- O, i
2 u- Z* f9 v) i. u" ~1 X% ~
]]
+ @" D9 r, B2 f* V" {- w, F/ Y# ^# M) M
;;如果所得的信任度满足条件,则进行交易% g5 U/ |# g; W* n+ P/ t
, J6 K2 s% i% y[
+ C' N7 ?" i7 L
7 B6 d9 |- X3 Hrt random 360' m4 u1 F1 z/ _9 I& g0 b
6 b" U+ D& i% {" i' ]fd 1
, i- i: k$ R) v$ V* n8 F" i I% D" w: @% C9 P
] N0 W h b, T2 y5 W, `
0 i0 G7 M. {! j7 A$ u
end
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. d6 y/ S8 r/ J# r4 R9 |to do-trust # M* w6 _, }' G4 Y; M7 Q, d
set trust-ok False3 R( l- c( q, v3 O
- K1 l( p- q3 H4 H% s8 ~
' L5 d( ?- o- {1 P, p2 W: qlet max-trade-times 0
) X6 Q& d; M) |% |$ r1 h* C* gforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]( b; e; X# U$ ?6 a
let max-trade-money 0
h# u" k6 w9 T' ~) Hforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]( W# r9 ~6 O! b) 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))
1 @, B! s8 s7 {7 Z; s5 J8 t+ x+ S L( X1 v/ ?
4 ]! C- `. }0 {2 Dget-global-proportion% N2 m, G: d l) V/ E' s
let trust-value: j1 [6 I* k/ |* T' P; a# 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)8 }# k$ _, J" z7 P5 p5 i
if(trust-value > trade-trust-value)
+ k6 @& j9 P, p/ t4 U[set trust-ok true]. d9 z% `8 l! d9 j
end4 U% @4 `1 ]- j: C. v! d
7 f* Q- i$ b# k) V" V$ R( Tto get-global-proportion
D( w# Y9 X4 {: d: z0 Kifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
! _7 j1 f# s4 j1 Q7 @9 G[set global-proportion 0]
$ e, N, E" ?* q: x6 G4 S[let i 0
- b4 U/ E; n! K( A* t9 llet sum-money 09 _) Y! X( t Z; x9 D! d. y
while[ i < people]) H. x1 F: t4 T* q+ `/ Q6 |8 ]! i
[
% x" p3 d+ K5 H4 O; P$ Xif( length (item i
: F( N6 p7 m; g% Q[trade-record-all] of customer) > 3 )
( k1 [# B4 j2 p; |: {7 R[
1 K" H6 E5 n& O7 y* \( v, v' q$ _set sum-money (sum-money + item 2(item i [trade-record-all] of myself)) ?3 s& b* {) J4 N
]
8 R }3 \3 V$ A4 \# c0 e0 ~]! Y( K4 T" H& x6 X; G) h4 R
let j 0! b+ a! v$ \5 l8 c2 Q9 m
let note 0
+ q0 h: `; ^( J: N4 Ewhile[ j < people]: V$ i* i' q0 z
[
' p7 Z4 ]0 n* G D$ \if( length (item i, O. a+ H e4 x/ W
[trade-record-all] of customer) > 3 )0 N3 J4 z* \+ B9 i9 i: K2 P
[
% C7 P- c. Z- B( y8 Kifelse(item ([who]of myself - 1) [credibility] of turtle j != -1); ?" b& h. |, B- a! l$ G8 x4 K7 m# L7 n
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
* `$ ?8 G3 H' [8 m[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]( E ~' l6 c) _; |
]0 M8 t8 E/ v2 j4 b# h
]6 p/ m3 K1 k1 u% N
set global-proportion note
1 l/ V4 {5 V3 } m6 I]
# @; d& f, ]6 E! p* J. S U- L2 hend* s+ w2 Q5 a0 R N1 I1 B, o/ q
1 K$ x6 \5 W% L: |) e0 i7 H
to do-trade; B2 M' b, g% _
;;这个过程实际上是给双方作出评价的过程# e: ]1 U! Y9 |7 p" j3 S
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价% ], R/ v6 i% Z- Y8 Z
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
! ]; r0 B% q, ~$ C3 o( T) T, Rset trade-record-current lput(timer) trade-record-current
: h* X2 z3 @' m- _3 l% A;;评价时间
/ [: Z- f( y' task myself [3 ?" N7 D6 v% [3 w7 U4 Z0 K
update-local-reputation
) L2 }1 \% ]1 v0 @( h& nset trade-record-current lput([local-reputation] of myself) trade-record-current: U# q- j$ L, t! ^ y; d
]
4 L, f. v# y. d; J2 mset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself1 t$ r% |* v3 t% P4 J, A0 s2 y
;;将此次交易的记录加入到trade-record-one中# j3 u% w1 o- |6 t3 b& Y+ a# c
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
# B% U+ n1 b" W3 l! elet note (item 2 trade-record-current ) S, `/ y+ p* j% @" C
set trade-record-current
# H1 m; ?; B# u, Y3 b3 I(replace-item 2 trade-record-current (item 3 trade-record-current))" V% N/ i) r4 i c+ f
set trade-record-current
; C0 |5 C- _' [7 a+ ~, t+ }" b5 c7 h(replace-item 3 trade-record-current note)
5 T, b1 M/ f8 H8 i* q0 A! }. d
$ W) V* H8 H2 k2 J: r( N' W# h u5 A+ F, s: r
ask customer [8 g7 x) N0 O, b) S# M
update-local-reputation+ q. t; A1 n6 j7 c" L
set trade-record-current5 b; {: r! P* o, q; x0 O% e7 r
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) , p4 D$ T" \9 O
]0 c- h: [$ z, U) _( M
. X+ A3 b4 a C
* i k+ y# W+ O
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer! l/ L" l. T7 I# `% F0 v
4 i2 ~/ f9 ^$ _% D) ?set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
0 y/ _: ?1 w0 T;;将此次交易的记录加入到customer的trade-record-all中2 b/ s) t, _) m
end# G2 u a" e5 K/ N+ [" s i
% k4 t% s" s; ^$ @: }( b0 bto update-local-reputation0 Z1 A7 h2 C2 u0 n
set [trade-record-one-len] of myself length [trade-record-one] of myself
% `/ C! t0 o" N% ]6 \ @* t7 k) K2 Z& u& t) e; W
9 d0 W" W# P( D) b( J( Q* y0 x
;;if [trade-record-one-len] of myself > 3
& y+ U( m1 V; |3 bupdate-neighbor-total
# u1 ~- Q# X/ C, a P# G;;更新邻居节点的数目,在此进行) C* T3 h+ N9 n
let i 3
1 A% d# [0 z9 Glet sum-time 0
3 H. q% ?: ~5 b; B' rwhile[i < [trade-record-one-len] of myself]8 Q( s- g: t7 _8 ~
[
7 G/ H7 @. l5 o$ p' eset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
, M6 B0 \) c8 I) A" Oset i. e1 B3 H9 R) K# S2 o
( i + 1), y* I6 G, I/ N- ~. g! t9 [
]
) }& W! r* ^' K" C* B9 nlet j 3- _: }. P, z4 Q$ X- ~1 C. K
let sum-money 00 _" ]6 v; G; H( w
while[j < [trade-record-one-len] of myself]1 P& c" @% M6 Z: \5 O* s/ E
[
- X5 z! l. ]' Q# ~0 `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)" J* z. v; ?3 h3 Y
set j. \6 [7 |3 g' s; p' ` U% X
( j + 1)) M' F; F7 D0 T
]
2 E$ ?1 |+ L* z( q- Qlet k 3
' T7 \" I `* P; e4 }let power 0
* X3 x. z- n, g, z9 m( slet local 04 J+ u4 s! W- s( P# M" Z' h
while [k <[trade-record-one-len] of myself]
1 u$ }9 S' ^8 \# k0 D[( @! Y; D& O( r8 A) Q1 V
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) . V- D9 `% \! ] t) D0 Q) p, a& I1 T
set k (k + 1)6 g. Y8 S" P" w) ^& b( ^" I
]3 m! U( n( e: ^ D
set [local-reputation] of myself (local)
5 b, I* U+ g7 O. z6 e, H: ~7 C- l3 Xend
1 j, ~; I2 F) H4 {4 K
" [+ h/ ^ U3 ~9 s* Y6 c3 l2 O ~to update-neighbor-total
3 J- ^' M0 I9 V' z: j
, t* X/ J3 N% S- A( U/ yif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
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K: ?4 Z9 @9 U* y; f1 p$ j% c
end
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to update-credibility-ijl
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$ d$ n1 T8 E0 m5 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。6 k8 t7 i. H: ^. m: r
let l 0; k: r2 {8 G B
while[ l < people ]" w) w( H) O; @) m* j7 w
;;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* p3 v: @; `$ I
[. H( n( O: O( l
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
# i) z; ]" [* j' e+ C# L) lif (trade-record-one-j-l-len > 3)
) g2 W1 a) K, h7 J) u! u& s) W[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
) y; _. v7 ]" ]! G- [let i 3
$ Y4 \9 a/ r! d4 C* d' Clet sum-time 0( v: H J/ u* L' N! [( ^3 G+ I, j h
while[i < trade-record-one-len]
: o5 s0 K0 r" m& i7 U[
& [# f X B: I1 ?( v2 s! u) Eset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )8 |% ^/ Y _1 j( h) N
set i, _# R: `! h- f8 b: J
( i + 1)$ e# i3 W% c4 P* X* u0 I
]9 C+ w* m' M1 j8 C1 [) W
let credibility-i-j-l 0
% p. m4 {* v& O8 d+ v;;i评价(j对jl的评价)' v7 H' Q0 J2 Q; X; n" C' }+ E
let j 3. t, _; d; e- h& N3 q1 O" P9 ~
let k 4
5 v! ]# S, P$ s1 a) [6 ?+ vwhile[j < trade-record-one-len]
/ Y2 v% t- Q3 v[# j* C, n& i1 b4 |) 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
6 q1 P. p9 @! i& Mset 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)
; [) `0 w; ~. Q+ l6 O, j$ \set j
5 o5 H( l+ f& |0 G" C4 h( j + 1)
. N' n1 o/ j9 _( k# \' X2 v7 A]& d; C) q- e' B; E h
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 ))
0 a' s2 ]% ]4 Q# j0 c, J
4 _$ m+ [6 G4 q8 X: P1 C* r7 M( W2 |
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
# N/ z0 d& J) J, u;;及时更新i对l的评价质量的评价0 G. n$ Y6 A' y! T0 S, M
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]: e8 c6 F7 k- |, n
set l (l + 1)
: V/ e, K. \) E5 s]
v3 @0 R* j2 ?! t, C, Eend
0 @. j! W! N' x3 ?! h' u4 Z
) y& S1 @4 o6 R7 |4 g6 O8 eto update-credibility-list2 H+ O E8 |( G! p/ D+ j- v
let i 0
( p& {, m$ L: B+ U, x' j& J1 P7 qwhile[i < people]8 w6 V- Y3 A- ?9 m. n9 u. N
[
$ o, m$ z8 x# o$ O# x. e; Slet j 06 S" D/ U8 Y$ ~! G* l/ X3 ~" H
let note 0
& b1 P C( `$ Z* n* d; X# alet k 0
6 M0 [$ k# [3 h;;计作出过评价的邻居节点的数目( C) I( L$ S5 p; R1 P
while[j < people]& A6 ^7 d+ D2 C; g" D* D1 [9 j
[' m4 `) Q) F7 U1 x" |7 E- p' F+ x
if (item j( [credibility] of turtle (i + 1)) != -1)
8 n" O+ ?* O6 t% ~ V6 w' D( y;;判断是否给本turtle的评价质量做出过评价的节点& H; l+ z% `: L: r
[set note (note + item j ([credibility]of turtle (i + 1)))
# S; T5 i( v8 h. v0 n1 S- i;;*(exp (-(people - 2)))/(people - 2))]0 [5 N) F& S" L* o2 j- O4 a/ B
set k (k + 1)
* a6 J; A; ~* B6 C1 x1 [5 {]
" n1 q$ p% j) d/ E/ Q* K) Wset j (j + 1)4 e \. X7 p' ~, }
] o1 {7 }/ S9 F: P9 p
set note (note *(exp (- (1 / k)))/ k)/ i' t8 d$ G# R$ I: ]6 U, c
set credibility-list (replace-item i credibility-list note)
8 l% a# G7 R( O* ^( Wset i (i + 1)
) g9 a" f2 p3 B+ G% E6 s]
[; p. b8 V3 W5 }; ?end, I- x2 T ]; N
' v% w/ c/ m+ h" j, H, B4 x2 v4 rto update-global-reputation-list
% G; d& }* K4 R) L8 F5 W, alet j 0
: H: u5 `0 t: e' W- u* ?/ `while[j < people]( L: |9 {, z; H
[
: q6 |4 t- {3 n+ E0 Clet new 0# Y1 S4 ]' U* q: P. [* _
;;暂存新的一个全局声誉
8 I1 Q5 w1 D/ A$ {9 Vlet i 08 `! q6 n0 b6 q3 }) f
let sum-money 00 r8 L0 G5 p1 }6 [5 t
let credibility-money 0$ O7 g; a' [' b2 j, n
while [i < people]/ a( [3 F- b! B* [$ E
[
; F2 B/ n+ b) Nset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))4 `3 U1 {9 N7 o/ Z) P
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
7 z. `% p+ g. g, `! b q# q: bset i (i + 1)
2 H7 U0 h6 {/ C5 w5 y]
* d6 D- q( [8 b! y; S5 Xlet k 0/ f( @6 V' K: D% a
let new1 0
1 ~5 a/ i8 H5 H& d. t- ewhile [k < people]
4 n2 y) f0 H% }) I5 d7 R0 m[9 r# O5 j3 c1 |3 _8 E
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)
# S/ v: d" U4 i9 ?7 V/ @# L) _set k (k + 1)1 ^0 ^1 V* N" @8 F! }" G& h V9 Q
]
5 h' Z. J' t3 E9 Y5 s* s Y7 Zset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) , i! z3 z- e3 J$ y+ @/ J# o
set global-reputation-list (replace-item j global-reputation-list new)
% o& G" r7 u/ x' |* kset j (j + 1)/ v2 J. i& ? C( R3 Z% ?+ C
]9 j( u5 H! a$ y9 H
end
6 K) _/ @$ w; Z7 x
/ S3 }5 E9 s j! {1 v2 S4 b, x8 B) z) K: e
+ K$ z% a3 D0 ~7 }
to get-color7 a: y% [$ P0 Q- n8 p
& k8 Z% Q4 ^3 H# ^2 m* D! Bset color blue- _# C v d. P9 g
end8 W# U: N7 |& w8 E
8 x b7 L" d0 J9 X* P) c3 \to poll-class6 X4 X% f$ F8 W4 O; b. O; p+ \. v: p- O
end! T4 U5 k$ ~ p5 o! [
% \, `' u. W( m1 Gto setup-plot1! [* D! _; E/ ~ X# y
+ Y6 j" P7 {* T5 r/ }8 h
set-current-plot "Trends-of-Local-reputation"% B9 r+ V/ E6 |& y& [
; A8 K5 ^3 R1 k# f* y0 t# |0 R
set-plot-x-range 0 xmax
. Q5 K! w( Q7 i0 j4 ?6 K! j7 q5 W9 _; P3 b# A
set-plot-y-range 0.0 ymax' X1 b1 Y' b1 f0 @+ T
end R; J" C2 F. L1 i2 P3 a
" n) T1 M4 P. M1 `9 l& Z8 Nto setup-plot2. C9 P" d0 G- g6 q
% `1 Z0 W6 ~& X! @* kset-current-plot "Trends-of-global-reputation"
' M( e( x6 }4 X! G- Q- M6 n
! e3 k) ^# u& t6 i( k( Z* o$ O$ kset-plot-x-range 0 xmax
8 M1 a; C1 b' }( w( O U
& x8 {) A, q9 s$ Xset-plot-y-range 0.0 ymax% J4 i) H# t/ e2 a4 d* I
end- `( C8 s$ M; ~
, C' Y( q1 F9 @, n6 `4 s
to setup-plot3
' U# I* j2 @8 w6 G0 U$ P; k% E1 t3 ]& N. z, s6 p6 h& H% l' n) G+ |/ S/ x
set-current-plot "Trends-of-credibility": d; Z% y' j g; b1 S
% b$ m) }7 @# J7 {: p; R- r- l/ k/ Qset-plot-x-range 0 xmax
: Y! o* H, X: X7 P( C( t( a- |% }2 D u0 y& j7 y/ `, |
set-plot-y-range 0.0 ymax1 {7 p4 P [: l/ d% g
end+ @: J* Q" b% {7 X8 x( f
3 u7 O9 a( T) p1 N8 nto do-plots
- Q( C" b: Y: s; `5 p' R- ]; rset-current-plot "Trends-of-Local-reputation"4 S: C! I! [1 V, {* f
set-current-plot-pen "Honest service"
1 l& s2 |* {' C. Gend
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: ~3 G4 X; O0 ^[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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