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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
) \: r! p; O, o3 x. ?globals[# h( y; `2 ~/ F- U( ~# c
xmax0 J4 K& W A" ?; b7 B& U
ymax
# ^, `3 D8 v; N h& q' aglobal-reputation-list+ o4 a' |3 @/ `5 W+ Q
6 X& ^. b5 c0 \" ?;;每一个turtle的全局声誉都存在此LIST中
% Y: S! d$ m4 ?+ c% U. Q5 Bcredibility-list
8 I' {- T' {/ X" n# s( |+ O: o4 U;;每一个turtle的评价可信度1 V: Q/ g" \# a0 b7 E/ O# ]
honest-service2 T* `8 d1 F( `5 |: H P& z
unhonest-service: o& t+ Z" c% k& L
oscillation4 h( n4 W4 [! `! q. c" }
rand-dynamic; ^, i' o% a6 n& j& f6 Y3 e
]
4 J `. ]0 {+ k) R
6 G+ q( _! v2 k8 [% }turtles-own[5 \' b9 Z" V D" z/ I
trade-record-all0 A* K. R0 A: n* Z- ]2 U
;;a list of lists,由trade-record-one组成
1 D$ g0 n5 X' \" k$ W. J+ Utrade-record-one
) N G$ _% c A; b) H2 o- z;;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 |2 ~, G( c" h4 w* I, {
. P) u" \% g7 j; T;;[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/ ~+ ?! N9 g
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]
8 e' ?8 w0 W) Z ~( F# `$ g* g. ^: ycredibility-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% U' r5 d/ t7 U: p$ y
neighbor-total
& m6 ~4 x; _" L1 X8 q6 R) F;;记录该turtle的邻居节点的数目 k, l- \* i0 a+ K8 l* d$ a
trade-time0 k. H2 z2 \ l
;;当前发生交易的turtle的交易时间 {* V/ Q+ R! `' q( `
appraise-give
# ^+ C! o/ c" I$ S7 u0 V% i;;当前发生交易时给出的评价
! T; p8 y9 C* _+ ~! ^, Y# ]% dappraise-receive3 A: {" A- m4 y5 G4 H+ R$ J, s7 x# C
;;当前发生交易时收到的评价
$ a# E3 [: g$ t" _+ Yappraise-time
# V" s9 n* W9 q4 |$ W& I;;当前发生交易时的评价时间 j6 b$ B7 p) n
local-reputation-now;;此次交易后相对于对方turtle的局部声誉5 m. z; P% s. _
trade-times-total7 c9 a" a6 I s4 s3 t% r
;;与当前turtle的交易总次数1 |+ |3 c- d; d5 P' p" V0 @, j
trade-money-total
" |1 _& x9 h1 H0 D3 a' N;;与当前turtle的交易总金额
$ x/ l9 F! l& P$ Ylocal-reputation3 Z5 R8 d3 a. E
global-reputation
2 E+ z5 y6 T$ ?credibility
. Q0 G/ R4 x1 o3 D7 D4 `;;评价可信度,每次交易后都需要更新
$ G6 E |* M F% ecredibility-all, @: q1 t) x0 m& S/ R2 c
;;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 x, z: }, L+ K6 a5 E7 h6 l9 n+ L, D# h7 z8 t, r; g5 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
8 S5 J( Q8 O& s& I# [0 }credibility-one) r5 ?3 F0 e1 X' h
;;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4 B: B6 y$ A- S- \% K) w9 F! j% S& y
global-proportion5 D9 v- O3 D$ x
customer7 g; C6 H* h% v( p
customer-no- ~( h( E& [1 R6 p
trust-ok" H6 Z' O( Q% D1 H0 ^/ h
trade-record-one-len;;trade-record-one的长度
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;;setup procedure
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6 w( U3 ?+ F/ x; xto setup
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ca
9 w( _. V/ Z2 b' v. f2 s- {/ i3 F# }% r3 K$ L0 f, m1 H
initialize-settings
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. F5 }8 q/ i8 P: Zcrt people [setup-turtles]
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' s. Q% j) I, P' V; A4 K8 preset-timer
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8 s6 F! D6 S7 t8 f1 @poll-class
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8 D! ~" H* Q. j! O. csetup-plots
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& M' O8 N8 w. qdo-plots3 t$ s* p4 {+ Z
end9 h a( ^6 S `! ?' L
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to initialize-settings
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/ }7 @. V: n& @9 J0 O: L; z. n8 e) Sset global-reputation-list []
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5 w% C& L6 D# \9 D, p3 n/ f; \5 ^set credibility-list n-values people [0.5]( U8 \0 G/ w) X
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set honest-service 0
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. S! T, \( j/ W5 Q( M+ J# o5 vset unhonest-service 0
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set oscillation 0+ O, E* M7 N* }& n+ |2 r
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set rand-dynamic 0) d* I3 U1 K s/ b4 Z
end' k2 ^3 c# ?/ L$ s
. x3 W N: S7 R6 ~to setup-turtles " h( b0 S- i2 _' o# u0 v
set shape "person"% d4 [+ y$ ?7 j$ u Z* Z; ~/ q
setxy random-xcor random-ycor/ y# l0 s7 G0 S3 y5 B$ G: @5 c* q
set trade-record-one []
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% m! u2 p" x. s6 Iset trade-record-all n-values people [(list (? + 1) 0 0)] / I' l9 [0 r6 m8 C+ O8 B: W
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set trade-record-current []) B2 a6 P, _: k5 t$ O: J
set credibility-receive []: D, h1 x, [1 I. c
set local-reputation 0.5# N' O: D$ E: H' C
set neighbor-total 0
# W$ O0 \# I7 S/ eset trade-times-total 0
7 K/ E# D2 ~, d6 k& @- Mset trade-money-total 0
8 W0 K2 l( u& l- `set customer nobody* v3 X! w# I2 Y+ H
set credibility-all n-values people [creat-credibility]
" W) i7 r6 G8 ~- vset credibility n-values people [-1]1 h& a6 f) f" w$ U8 c) ?' r% \
get-color
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end
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to-report creat-credibility. I s5 J2 j0 o$ I) q/ H5 }
report n-values people [0.5]9 h' J0 k! }9 `
end
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5 s8 C* W w% D: w+ K0 b# P- \to setup-plots
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set xmax 30
: T6 o; S6 N8 c/ W, l& K2 ]7 }" x+ E Z# c5 A9 s
set ymax 1.0. j: L$ V) _1 P+ D
+ Z. ^7 Y: y+ r$ P0 d9 S3 W
clear-all-plots
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setup-plot1
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setup-plot2" u1 m" M$ p4 [; S, W
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setup-plot3% S! w3 v9 |; Z2 {
end
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;;run time procedures
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2 y: f: d# c2 E& ?- Y* m; `to go: S, U3 y, M9 p7 ^( W4 \) L
* a: O2 N, u" n: B: nask turtles [do-business]
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& ]3 R, d: V n( s' ~+ Y
to do-business
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rt random 360
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8 w! G& e8 l( v) D, ^fd 1
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ifelse(other turtles-here != nobody)[
6 h1 r* W+ ?- a" z) K% @1 \7 f; h3 _3 U0 V! V! _6 J
set customer one-of other turtles-here( g. E3 m& N v p2 G" S
& y& a* `% `* \3 N' s8 x;; set [customer] of customer myself7 z& K' s# H& I/ Z0 \1 F' o
$ h& d, L: S: Z/ K) Z% kset [trade-record-one] of self item (([who] of customer) - 1); e3 [, p0 ] N
[trade-record-all]of self. Q3 }, a- M5 ]0 z
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self, d2 H w& {0 v( S, | J/ k# e
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set [trade-record-one] of customer item (([who] of self) - 1)
1 m. c; e# _& g& y& |[trade-record-all]of customer
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set [trade-record-one-len] of self length [trade-record-one] of self; | U- r+ R% p( v3 M% P- B! C
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set trade-record-current( list (timer) (random money-upper-limit))8 U a5 C9 `7 X0 R$ u% C; S8 o# ]
Z$ ~; y4 e/ r( z
ask self [do-trust]; ?. x2 E$ m* M( U. q# D6 T
;;先求i对j的信任度
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if ([trust-ok] of self)
; r5 l0 k; r2 w, F' Q;;根据i对j的信任度来决定是否与j进行交易[* P. n& k( Q6 K/ \
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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[# k9 y- j6 G0 g7 i0 o0 f& C
% R' z" z& Y& I: t8 e! ~
do-trade+ V; M9 p2 [% L$ N0 Y0 `
$ q7 J1 n9 n3 E+ k, l& P
update-credibility-ijl8 a6 f" R8 @2 ?4 ]9 ^. i
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update-credibility-list
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* w# x; L* Y% F1 ]! ?6 @1 Xupdate-global-reputation-list
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( \* K* `. a# ^$ wpoll-class# |, V# B$ o- V3 |, N- L
' t- s0 G, T/ A% [! yget-color
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]]: Y% O4 ?4 _1 R
% T( _% X+ g) \( o: I6 [
;;如果所得的信任度满足条件,则进行交易
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0 T0 j3 Y5 P. ert random 360! X. ^ x* ~; y1 n) ^9 o0 ]# q9 U
* w( V: M: Y2 m k/ B Y) R/ a+ Kfd 1# i5 B7 x ], P, @9 C& k( c" \
2 V) Q$ l) m- [/ ]
]
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2 ~! [+ v( y" f# l+ P- R' k/ M, Oend
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to do-trust
) G( v/ o8 N2 e8 Q* d3 ^ fset trust-ok False
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let max-trade-times 06 }) ~. X0 V `* l! ?3 E% o
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]5 _+ l8 C, `" f9 m
let max-trade-money 0
/ \" K% t8 B& C' @' Yforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
1 f) w; ]( R# U$ z! I3 n% `- dlet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))9 ~( U+ ~& T4 x$ Z7 C
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get-global-proportion
+ p$ V0 a; `9 p# u, dlet trust-value" l7 n; E" I4 I9 W6 s* R1 S
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)* M" G: H7 G7 y% B9 }$ B" ]
if(trust-value > trade-trust-value)
( A7 K. ?; t5 N- ` h: i[set trust-ok true]- M% W0 D$ r. K5 ~
end9 P- [7 n: J0 ?0 k
; ~2 ?9 g& D8 K) a0 x+ ?6 \/ zto get-global-proportion
2 \& f z' @% Uifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3): C3 ?9 O5 @5 {1 ^6 j
[set global-proportion 0]
5 c8 \9 A3 g6 l$ i& X[let i 0/ \6 ?- F$ A1 Z/ k7 { i. n
let sum-money 0
( x9 V" c* F/ t8 M- Twhile[ i < people]
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if( length (item i
/ T; p t6 o4 P; P[trade-record-all] of customer) > 3 )
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set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
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! B; a6 q# M. | Rlet j 0
0 R5 X9 e& t% ]0 o* dlet note 09 R f2 Q6 E, b
while[ j < people]
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if( length (item i
' l- C: F6 y% C% l! a[trade-record-all] of customer) > 3 )7 q) ]3 f9 _* w( h+ W0 {
[
* w8 h% D( x2 n4 z. qifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)8 J. e4 Z) _: u: N8 s7 b
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]# e# m: V. g) O
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]8 o- ^& W" p; f# @9 H! R7 J1 g# ~
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set global-proportion note
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+ @# k" f4 ^ {& c" g( O7 S/ [end f0 T0 q( _) b/ A/ z: {, w# p
9 I4 e6 C. j; a. a; W$ Xto do-trade- h; v& ~( r% }2 h' N
;;这个过程实际上是给双方作出评价的过程
* \: B9 |9 X4 j+ S1 O8 L/ m( Wset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价1 ]3 A% m9 f a Q) ^: _6 y
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
" w0 y; i% @# Rset trade-record-current lput(timer) trade-record-current
2 U/ X/ }/ H0 y* { D- C;;评价时间
6 \* q n' g* F' i4 m$ p A4 ?ask myself [1 P' c% E5 J8 q! O' S
update-local-reputation
, j" g/ \2 Z9 D8 p Q- [; iset trade-record-current lput([local-reputation] of myself) trade-record-current
4 w- N" m5 z# ~" O]
1 z/ {1 j9 z" O; Z0 U0 y3 m. Vset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
$ u5 [% F' f1 j9 d: a5 y5 m;;将此次交易的记录加入到trade-record-one中
3 Z% ?. V9 `- ^, R0 l7 t+ jset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
. V! Q6 y# B# \, p2 v$ m& U5 Alet note (item 2 trade-record-current )
$ R7 [8 X5 p1 Z- R) k5 Yset trade-record-current
' F3 W/ }6 B+ D I' ?# a! t- M(replace-item 2 trade-record-current (item 3 trade-record-current))
6 J$ q; ~: L7 i5 O, M) kset trade-record-current6 A' p' F" _9 Y; }: c& r8 J+ ~
(replace-item 3 trade-record-current note)" w: L+ ]; g5 T
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ask customer [
: u. V2 r& v1 ^3 _3 K! tupdate-local-reputation
! ~$ x9 {# A. k! B8 T, s8 |0 ^3 Oset trade-record-current
, y8 }7 }$ O( Z. u. I+ M(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
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set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
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set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer)); f1 r% g5 A& L7 ^
;;将此次交易的记录加入到customer的trade-record-all中
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. J: |& t3 i# a2 n" J! ^to update-local-reputation
v2 r' q( |$ g9 _" L5 G! `* L4 vset [trade-record-one-len] of myself length [trade-record-one] of myself
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/ Z* T8 t& M2 l0 J" r! S;;if [trade-record-one-len] of myself > 3
T& r' L* k$ @! [4 }update-neighbor-total
5 G6 Y1 M1 K5 }- b7 P;;更新邻居节点的数目,在此进行. O4 i& t& Q/ s+ E0 }9 e6 {$ b
let i 3 D7 G s' o& f3 o
let sum-time 0- |$ a* a; W' |8 U/ ]
while[i < [trade-record-one-len] of myself]
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' i5 A" h2 t3 {# }set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )8 F, \' [" J, w! z
set i( r# ?7 Y/ X/ q" Q; _+ G
( i + 1); s, F- F% W; V! a$ H, @6 {8 u
]$ d7 O6 R& }- V1 r
let j 3
* O! q: ~. W' T, H5 Ilet sum-money 0
- U" Q3 n& @# r9 |while[j < [trade-record-one-len] of myself]
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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), w7 y' j$ E* j8 n, X& F O
set j
6 H3 s. b) _! G& ~& w( H) R( j + 1)
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let k 3
! @) `" P( f+ k: n; w8 E# ^' i$ i: \6 rlet power 04 q! p: N2 n3 s; E
let local 0
% E* N0 D6 F* i5 L; P8 Vwhile [k <[trade-record-one-len] of myself]
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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)
( \* |: l: _1 p* P/ v$ dset k (k + 1)" S! t, E, G( Q; i \' ~2 {1 u
]
* ?3 V" @8 @* b' Eset [local-reputation] of myself (local)4 |# M$ N, b( `
end) }/ [( `' L' U
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to update-neighbor-total `% i) r, G1 _# t% Z5 {
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if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]. j; O4 Z: i4 D: J4 \
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end0 S. ^' f9 f% F% X4 Q7 |
$ I9 s5 y) d' G- F! {0 e/ F" wto update-credibility-ijl ]! k) n; T* k- i7 M1 X
5 `; Y5 R0 w/ w! {2 m; y
;;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。' W- H( K, b% H( F4 O
let l 04 K9 ~& j6 n, ^
while[ l < people ]
9 w- O9 m$ X7 O; M;;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
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let trade-record-one-j-l-len length item l ([trade-record-all] of customer): J# o/ J! e6 w
if (trade-record-one-j-l-len > 3) `" D2 E0 Z h# S& r/ N
[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
' j- F: e8 g8 L* ?$ p9 V o1 Rlet i 3( [7 Y1 E, q& F8 f5 q
let sum-time 0
! {1 X# [% S- T# b& ?# Rwhile[i < trade-record-one-len]+ A, ^6 U% n* s, t; R4 z$ g# Q( X
[
' J$ g# I% g6 i5 _# k' cset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )/ S6 x! f& S% v
set i2 ]+ w( a1 I3 m1 x" E1 I4 s
( i + 1)6 g1 T1 n& C! `4 l# {$ x+ D6 {
]
2 k3 i/ c& {. k5 s3 glet credibility-i-j-l 02 D. H& X' n% ?6 U8 _( k% Y, f: n
;;i评价(j对jl的评价)
* V* C: K4 u0 q. e2 Z) u1 W( }# Y& Llet j 3) k0 l. S9 |" X! G
let k 47 I0 w% [$ n5 e4 h# f5 _
while[j < trade-record-one-len]
% c5 l+ W3 c6 |. F. U. M P[/ u2 L$ ?* X( ]& V
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 ^% K# q# C1 v) |+ V- qset 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)
# V! Z; b, t$ Z- ?- v$ ]% F$ sset j8 z1 O; x0 S" ~, M
( j + 1)
0 B$ F5 S; z: @% _/ R, ]]- u/ c7 W4 {0 p" l! R! J
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 ))
: H) l5 ^/ ?1 x2 G5 ~7 x0 z0 Y* S. k7 R0 Q) y. t5 s& L9 I7 ^- R4 c
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let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2)); d) ]- r" I; Q* j$ J) V: A
;;及时更新i对l的评价质量的评价 C4 S/ d. i( |# _5 p8 t* n; d
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]8 u1 ~& Q$ {, x& `% ^& N4 p
set l (l + 1)4 U3 }7 x# h3 Q$ k1 ?
]+ z# j" B* A( G+ {9 ^& G/ F
end' M. N" ^% A& r
7 ?. u# P4 t4 \0 m: s* f! wto update-credibility-list7 S( `/ V( v) O1 L( e1 d' a0 [
let i 0
5 b: {" x: t6 cwhile[i < people]. j4 a% p" s% ~6 \; b9 [+ B
[/ {: a* H: N0 ?. R2 A" k% x
let j 0
# I- f' j+ P" q1 a5 nlet note 0, Y- u2 s: b: l8 ]
let k 0% V$ K/ q6 N0 i7 C
;;计作出过评价的邻居节点的数目
: L/ ^3 Z8 v' r: wwhile[j < people]
! }7 x9 h: S; }0 M+ H( H* U[
" K; T( C3 o0 v, E3 J* B" c: `if (item j( [credibility] of turtle (i + 1)) != -1)0 \" x5 h$ v: I) q$ U) V- M6 x
;;判断是否给本turtle的评价质量做出过评价的节点
" m: G+ s0 A& V9 ?" J$ l[set note (note + item j ([credibility]of turtle (i + 1)))
3 O5 j& ]% d' S( ?) y+ n' g1 P;;*(exp (-(people - 2)))/(people - 2))]
" x. g B4 E1 N" @8 p, @- o( @, Sset k (k + 1)( M! N' \( Y6 X2 J+ h3 B9 @8 k7 u
]
9 B! ^! V9 B1 n4 f. Fset j (j + 1)
& a( K p7 b* J]% j. I9 F. W+ E F
set note (note *(exp (- (1 / k)))/ k)' t3 U# ], T. i
set credibility-list (replace-item i credibility-list note)
! r4 U, s& a }& `, j2 fset i (i + 1)
( Y4 P1 z& p' p0 v% f# R]
6 O9 Y/ x1 i! Cend7 y& Z% h& {4 d: N. k
1 ]& }( ~: Z8 {to update-global-reputation-list
7 G! Z. K% o5 P& Y* F( ?5 J$ rlet j 0% L- d; A/ ^" l6 N
while[j < people]. }) h/ [' l$ \+ n# A
[
4 u& C3 V+ ~" k8 c) Z4 ] Z9 Jlet new 0
- x7 C @2 A4 b& u1 d7 P7 A;;暂存新的一个全局声誉3 d! [4 S j- ?$ R( F' J2 W
let i 09 v$ c4 Q x) f2 q
let sum-money 0; S2 Q7 v& F6 r' _1 h, D
let credibility-money 0 i( g' N4 H2 e$ K) H2 W
while [i < people]! a2 D: W1 R' }" f4 m; o5 _
[
& i% I/ ^9 c& ~! jset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))+ M! v' [& u4 Q0 e/ i4 c% h2 f9 e; B
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))( ?+ z/ Q( @- U" f' \! j
set i (i + 1)
0 ^$ R& m: W! ^) B: R, |5 R]
) ?. F e4 [( a6 U* @% f1 Vlet k 07 {0 g g" |3 |3 g! d
let new1 0* @/ I8 E1 n+ ] e
while [k < people]4 v$ [5 k5 C- i1 C' v
[$ P4 a* Z! r& ~5 f# I0 g
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); e4 ] J% T/ N' j
set k (k + 1)
% x' ]* ^0 O4 V9 W8 s]
2 @$ J V1 p3 X" H v8 U% n% n( hset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
+ R) k; Y" [8 @7 D2 @& ~set global-reputation-list (replace-item j global-reputation-list new)
- ^. @. B" K3 [set j (j + 1)
' a* _. T2 ? l- ~( @) {! \# f]( `, e8 I7 D2 Z3 z
end
+ j6 J$ E7 C: @ e
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7 o* ~% R! ` D6 x/ y) P3 M; Mto get-color
/ U) N U8 @3 A1 Z: e* ]* H$ N7 P% D: k7 J% F/ e
set color blue
/ A- h( n" p& V, k2 Fend
* j2 t; V2 t' V' i9 ]( ^
- ?, G7 Y. C0 q$ N9 E- Nto poll-class
8 f) s/ k: x+ @; l, y: j1 oend
3 X) g$ ?$ {' g6 ^* }" w! D4 ^8 c; _/ m9 D8 @7 y! L3 N" F& r
to setup-plot1
1 H/ u9 y- D( x2 r) Q# V8 z8 X: K7 d$ \; n( U
set-current-plot "Trends-of-Local-reputation"/ Z: z, p9 C% n Z! o, P A
" e, }+ f$ `, c! ^" c# o1 B
set-plot-x-range 0 xmax6 {7 Q( J( _& I. X
' j' [7 D$ Q- E4 c$ G% N: f
set-plot-y-range 0.0 ymax+ z, L4 c( l; ^* W( |9 o
end
3 Y$ s6 \8 t ^, L
8 }' d$ H; X- [2 a! yto setup-plot2
9 J* y$ J. G, ?- m! E2 I0 Q6 K0 s& `
' ]) D! L0 S4 b. N1 tset-current-plot "Trends-of-global-reputation"
6 a+ M2 x: a0 D: F6 d$ x i9 a5 S* c
set-plot-x-range 0 xmax
5 X% _! ?8 _1 B0 i# Y3 S" m
4 P: B1 D5 y% R9 u, Cset-plot-y-range 0.0 ymax) _$ v' ]8 s5 K$ A. V+ G& k0 R& ^
end* N/ m) ], I" Y8 J7 P2 g
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to setup-plot3
$ J$ W) N% O% ^3 L0 D8 U4 T% Y$ r+ x; p
set-current-plot "Trends-of-credibility"/ c' X; ]1 M/ ~* N- H2 l6 w
2 G4 {( T4 v% B8 @
set-plot-x-range 0 xmax
- H7 E& ?. V8 ` x* s& c* q U. I9 C+ E) s! c. x" f
set-plot-y-range 0.0 ymax
, |( I2 t! X, m; Qend
% }: \, z6 M f* v9 l0 O3 s8 t- }- U
to do-plots$ ?5 e, h2 f* b# b
set-current-plot "Trends-of-Local-reputation"
5 d8 I$ x" [. ~: {. e* Jset-current-plot-pen "Honest service"
. K5 R7 ], q; t. U0 tend
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8 W( e2 a1 \& R' Y9 C& h, L[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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