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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
' \# w+ j0 V; d; m) D7 Mglobals[9 G) N4 o0 {0 u$ @3 W
xmax* ?. {2 T' p, J# w) \5 f* d
ymax
b" F( ~8 d! M+ ?6 Dglobal-reputation-list; r# R( {' O) n6 E2 ]3 \
* p* ~- K6 _1 D, @;;每一个turtle的全局声誉都存在此LIST中
. t: K% }6 m8 B; ~/ k9 \$ qcredibility-list) u8 D( G: e+ F0 ~$ }
;;每一个turtle的评价可信度8 i2 W6 D: L$ S$ e* {
honest-service$ ^8 v- g1 w7 i1 ?) a
unhonest-service) C1 A8 i8 b4 Y! C7 e
oscillation6 `' t; F. L/ [5 r1 G- w. z3 v/ M
rand-dynamic7 ?: m+ I* n- b- N2 V
]
/ a$ A% I, [4 u* i% J9 j2 m9 F |" o" u" O" e5 s! K; v0 o4 i$ W L, K
turtles-own[+ F2 X8 d9 ^$ x6 t2 I
trade-record-all- {# O2 B& j2 y: d, e( }5 L
;;a list of lists,由trade-record-one组成6 N9 n$ n6 h( x W$ D$ F4 m. C
trade-record-one$ \. E- D- V9 G# N( y' N, G
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录+ F5 X2 M. j; C9 k" C# `9 W
% U. T. k5 Y0 g7 v
;;[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]]/ n, t9 n! p. t7 U- u
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 a4 O" n; h: i/ Z' ]5 Z
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
# \* k2 U( t2 p9 z4 Qneighbor-total
8 [7 a* n2 E. c! M" ?2 u. L: i9 z) z i;;记录该turtle的邻居节点的数目
9 r6 b* Q- I- w/ E4 K* d' ^8 Etrade-time3 Y1 D7 h3 w, G! T7 H+ P
;;当前发生交易的turtle的交易时间
; m' K$ N' y- F: vappraise-give
& z7 `. h' h) G" c' X9 P;;当前发生交易时给出的评价
3 Y) {" o$ c) |2 f; H }- T/ C @8 Qappraise-receive6 F* ?8 c0 b# v- \6 o" X6 G# e
;;当前发生交易时收到的评价
. b6 }# I1 U5 o6 Wappraise-time- C+ u7 ~5 O( {1 ^ o; Y
;;当前发生交易时的评价时间
8 Y+ \" p# b- F' p9 Elocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
% ?; j0 X" r. e( qtrade-times-total4 N& {5 m) X d
;;与当前turtle的交易总次数
" G4 }8 K# |1 \1 x( V! t' o* Ktrade-money-total
) F# N8 D$ Z$ q* U3 I0 O;;与当前turtle的交易总金额
5 R+ l! D/ E& j! Dlocal-reputation
( u& ~& C& r( g. lglobal-reputation9 R, t) I$ \ |( J4 _
credibility9 p7 a) I6 B2 w. Z0 {
;;评价可信度,每次交易后都需要更新4 ?* o% @, _3 C
credibility-all
6 F* {9 o# Y7 `) v; |;;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
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2 ]4 s! ^+ C, b: }# G* {;;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' k/ G( [ ?( H
credibility-one
! {, w4 n, L: B;;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( \( t- C7 ?, K; @( e& T
global-proportion& D' S# Y$ S" x8 {2 e' p
customer6 s w, @. J- ]! s5 x; ^& y' ~
customer-no
) i3 T; X& }/ I1 dtrust-ok4 x# N1 G) v2 h- K: R# K- W6 J
trade-record-one-len;;trade-record-one的长度9 I- d+ Z) f$ @( \$ H; Z4 O9 {
]0 ^' C% B P8 O+ ]
0 \* g% b; o+ W# E& s9 _
;;setup procedure
' b: V* M( r3 \) A2 _/ `' D5 S8 \ R2 t( r
to setup
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ca
7 \% x' B0 i! @: M4 y4 I
3 v: S2 G0 _6 Sinitialize-settings) |, Z; X. d. U4 U& _
2 ?# H6 }5 r/ s. C. N P* o/ o( kcrt people [setup-turtles]
2 |1 {1 W0 q+ w& X) e; g( x
$ J- K" j7 |/ `, V; {' ^; t S4 ?6 treset-timer
: m# T) e% W# y1 t/ M) I- U$ F. J2 x, \3 x# K! q
poll-class
# }9 \# F* p6 X, ^& T7 }) X* q+ L1 s6 R
setup-plots% L. |0 S6 I' ?) Q1 V- \
; `, t7 k: d; ]0 L" ?: p) Ydo-plots* V9 d2 T* e) G" l$ \0 Q- C
end
% `8 S# X" y* }0 Q7 v" ]+ f8 }/ D6 _0 |( Z# D; D' G, s5 [/ h
to initialize-settings+ q9 e% h1 D; ~% x
( l+ h! @) E+ ^7 x- b$ Lset global-reputation-list []# W' x6 S2 z% ~ b; v
: J6 y% \0 e' r1 R+ @- ?- O! Q% `5 Dset credibility-list n-values people [0.5]* S: u) a( c% p4 r5 ^* `: ~+ ]; R
+ s( e8 E: ^5 r( r
set honest-service 0- i% _& P& P$ U( s0 p* f9 ]9 w$ V
* P" j: Q3 R3 Kset unhonest-service 0
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+ u" \" J) K% ]5 ]& hset oscillation 0! K e- x, k% J/ o" c
. { y* I8 _, |( W1 ?set rand-dynamic 0' S# A1 |+ R% e* {/ [ T5 N
end
+ ?( R2 s" t" V; P
$ m" P- L% F! q; a! Sto setup-turtles . f% |3 {9 q5 ?: M3 `
set shape "person"$ [; x6 p1 Z U4 d1 }
setxy random-xcor random-ycor
1 ~$ r9 ?3 G' J2 k7 G" _set trade-record-one []' k. w2 r# e" J3 n- r0 b6 S
: z% ^" `) j+ Z. U; zset trade-record-all n-values people [(list (? + 1) 0 0)] / [* n* v2 W$ _) N
' L$ v. o9 I. W! j2 Jset trade-record-current []8 n, r* K; f% t
set credibility-receive []
1 X9 s8 m5 A& A5 Dset local-reputation 0.58 y/ |3 X/ e1 F d# n
set neighbor-total 0
' L% l, A' C3 v! nset trade-times-total 0
( r/ v, _5 R; G" r! Sset trade-money-total 0
% \5 B) R5 U. _1 T9 R; W0 cset customer nobody
/ l' T' {( c$ hset credibility-all n-values people [creat-credibility]7 F2 A# a# A8 m; t N6 T$ |: f2 h- g
set credibility n-values people [-1]5 b8 h' R6 Y( p- p) G1 t; B
get-color
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8 N- R- l4 K/ ?# g+ Bend
* b4 l& K$ p: a, r8 w! P" N) n) k- G4 J1 }
to-report creat-credibility
* |: }1 {4 |* i- ?! m( w( l6 greport n-values people [0.5]
* o6 }: q) _% k. ?+ @8 Iend
# g; R/ Z7 F3 X7 i: o
) K1 \+ X8 J' P9 h6 pto setup-plots
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set xmax 30
. |3 i: a; h- j5 K5 R% b4 X$ A5 A' v) }3 B
set ymax 1.0
$ ~1 v* g+ q! n# @! _, w1 R
5 F; q i7 d8 I- ?. Vclear-all-plots# o/ e! y5 w( {: C3 [/ K$ o# B
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setup-plot1 ~ ]- F7 Y6 g+ z' m
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setup-plot2
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setup-plot38 e8 }7 Q5 \# V7 S% V/ u
end
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;;run time procedures
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5 a. M4 S/ O. Q+ Y- x$ ^4 zto go
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$ v4 q! r" E1 v8 ?% }, Bask turtles [do-business]/ h# P, H+ g( _% r
end
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to do-business # L+ ^- I5 _6 E( E
4 D/ m3 b$ W0 E) L9 \( P( A4 ^ y( o& k3 g3 ^
rt random 360+ S& ~9 c. q- @2 y
( p" V: V1 h% B2 ]
fd 11 `" k) y- |: [
9 w5 X% t! h `: }! I- C
ifelse(other turtles-here != nobody)[: ?# V% v6 [% M. S0 l$ ]) s
$ `" q7 I2 i! o3 Dset customer one-of other turtles-here0 S4 a- E$ D) n9 i; Q
4 g, P3 i) _% d;; set [customer] of customer myself
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set [trade-record-one] of self item (([who] of customer) - 1)' ]& a, k) Z, B u: R( g
[trade-record-all]of self: C0 J$ j" {& d' E$ l a* P
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self$ v+ W/ j/ b( ^: i
# I8 D: \5 e5 x) s! W) p% _! |
set [trade-record-one] of customer item (([who] of self) - 1); n3 l7 R8 r, o2 G. f
[trade-record-all]of customer
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' x( A f) k( D6 a9 H" W# kset [trade-record-one-len] of self length [trade-record-one] of self
0 R2 C! O: p- W
6 A0 ^2 `, Q% j8 V7 V6 S5 M bset trade-record-current( list (timer) (random money-upper-limit))9 t+ g5 t% h: E- F) L8 _( E
. l; k( _6 d. _ask self [do-trust]
* P, C$ D8 n' o" @4 |2 v;;先求i对j的信任度; i' ^% f: u) l% w
" f* _& R3 y* n( D* @if ([trust-ok] of self)
1 w8 U3 M9 `% S;;根据i对j的信任度来决定是否与j进行交易[
0 ^$ u5 f- r; q5 t( C+ sask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself$ O! [& m" _. }
5 o3 O! s) @$ I0 T3 I: u' k
[% N4 K( @8 o5 v2 |# P1 w
- E- T( v& B# F5 q
do-trade+ ~; s9 c: L" Y. m$ k" }( K' g
% r; [2 ?$ E: `0 k; A
update-credibility-ijl
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update-credibility-list
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9 M2 S* y4 v7 q6 yupdate-global-reputation-list
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poll-class
! _) m& C* s5 q
9 ~5 A3 m9 c4 p6 C) _$ `! e) p# \get-color
+ v5 Z% L9 W8 n7 h4 R o3 ]) O9 p) n0 P' n
]]
4 G8 b1 v, w n, g% h# [/ \3 D5 N3 g6 d! w# \7 @
;;如果所得的信任度满足条件,则进行交易
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[. {' U8 D' p2 F- _3 k, w) z' U$ M& }
3 r9 G# ]/ Z7 k8 B: E Trt random 360
0 V9 K% U8 n7 B! Z$ o. x% E& U
8 V% c4 Z5 A# B( r' g3 ufd 17 q8 I* y4 D" o. k& W- t
/ x3 o; ^% \& v& w& a, o3 ~]# }, b& `' W4 \% c7 U0 e) N/ ~
1 _+ F" Z9 d7 O; d7 xend
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to do-trust
* ?+ o- W. M& q. _) S" _1 g$ Wset trust-ok False
* {7 V& o' } f! J
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, s( X# j% y8 t7 O5 W+ y$ o7 Llet max-trade-times 09 M" H/ g3 p0 |, f9 n
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
# W$ O/ t2 M! }! J$ Q3 ilet max-trade-money 0
4 ?7 o: j' Y3 {foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
1 {! \) h' M4 S4 ?" Flet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
% _) W9 H; L' v2 t+ k& G. E! J9 r4 I9 z
! |+ |+ d6 t# ~: D, ?. ~6 |
get-global-proportion: d, C2 K# S) @ {" T+ b4 p7 l$ @
let trust-value
# q* m% T3 e. G+ P. s. K. Q) u. B2 zlocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
6 x. ~$ t- a$ s: P% Y# j$ B( c' Pif(trust-value > trade-trust-value)( |& d, S: ~3 K e! v6 n, M
[set trust-ok true]/ @& w5 i$ X4 f+ E8 e8 }# J& R; x
end
& t- g4 n- b- e, U+ G9 M; ^" C/ G2 i! n4 K) w
to get-global-proportion) o- s9 \, s- p- Q/ |5 I0 s. r
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
, L8 ?/ q: e% G) {- ]/ |[set global-proportion 0]
: b1 ?: ?/ a; W. i4 G[let i 0
6 F5 j- X8 ?9 v2 y( x* o* plet sum-money 0
! u: F. t; j3 W% K& _$ ~4 X) Twhile[ i < people]6 d/ S% z+ r/ o/ G4 d! B. u9 H
[5 y& W) l- w7 Q! K g' _6 e$ \
if( length (item i
# f1 |/ O# j' Y[trade-record-all] of customer) > 3 )
( z1 n; I; Q4 j7 Y6 c[
) n4 G9 J$ i: B* Q6 Qset sum-money (sum-money + item 2(item i [trade-record-all] of myself)), f) R1 e4 s" K, r6 c- u( s- K7 P
]
/ f' U4 b+ {7 u1 |]
0 ^% b) x/ O0 x0 _( l' y$ Plet j 0
" L X* M4 @' k0 g4 ], Qlet note 0' Y7 o7 T9 k# ?$ F. u
while[ j < people]
3 z' I7 r8 Y5 O/ d9 R. w6 }[
( `+ b! _% ^8 J4 Y. t. Kif( length (item i
' z6 c8 w8 H$ a( l7 ]( p[trade-record-all] of customer) > 3 )1 k# w7 }; O) C" V! Q
[
( i" y. d* L5 X* c; o, f6 lifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)% }* M9 Z$ J. {: t
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
5 v/ I. }. D# u; t4 ^[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
. c" F' v+ }0 n: P- w$ j0 a]
S7 T9 @& }& w8 w]
7 _6 F* h$ w# ]set global-proportion note$ @! T1 T. K. S9 Z) n- w/ T
]3 O' z/ d( |; r) N( B
end, V. n: V; l2 N4 Q
/ O2 a9 `1 W7 T! K; k d8 sto do-trade5 @0 ~3 _2 e( n+ f# p
;;这个过程实际上是给双方作出评价的过程1 n4 i0 E j1 q( K
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
' E8 A6 N1 j; sset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价" f+ ?. [, }3 j7 P @
set trade-record-current lput(timer) trade-record-current
4 O* w0 r* m/ b& _. L/ l: L5 `/ R. p };;评价时间: R3 L8 E/ m2 h' h8 _1 y
ask myself [9 ^3 p! c+ y+ [! T$ Q
update-local-reputation* Q f) p: f& \$ @ B
set trade-record-current lput([local-reputation] of myself) trade-record-current
5 X [4 y1 o7 h9 R! O8 {' f]; C# d/ I+ ]7 G6 ^0 `% o
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself+ s, N1 U- g! S. |! W9 e
;;将此次交易的记录加入到trade-record-one中
9 r/ g& b8 y3 T, N2 } b' i* ]set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)4 L* p3 o$ p; E+ P1 u& O! A9 Z: g
let note (item 2 trade-record-current ); G* |# O/ g5 ~8 I; t4 Y0 k
set trade-record-current" v, ^; X7 Q4 { V3 k( A
(replace-item 2 trade-record-current (item 3 trade-record-current))8 W) @' J+ T& h, _) U/ G! c
set trade-record-current; Z1 R# q+ t' h/ u( w
(replace-item 3 trade-record-current note)
+ h3 s) c: `- _3 L" t( |) n5 }; F* K: i% Y" X _3 C& F D
[% a+ F: F' V Y) s8 o# ~4 Eask customer [( C8 ]8 M4 X" @' T( j3 N
update-local-reputation, I' t4 m$ b0 W+ o: T, b0 p* L
set trade-record-current3 m' u" X' t1 k, S$ K
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
$ |, H( {9 t: u: I+ Z) ?2 g]
) I% [, W* H) i/ e
* i8 c0 f, X+ X* R x e8 d
+ V( i# i# v( `8 l& Iset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer$ B5 W8 ?4 ^0 V# R
( ]6 t5 r! r' D! T* D, P) n! L' _
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer)), J" X1 _3 z8 }9 f
;;将此次交易的记录加入到customer的trade-record-all中
8 y0 c' @; l* rend
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4 ]3 r; ]1 K: [! O; Z+ J: `to update-local-reputation
+ D5 k; h2 d' ] Bset [trade-record-one-len] of myself length [trade-record-one] of myself
' ~, f, M# S2 T
: k$ i9 [% j- B4 c7 j- g# n/ [5 Z& G. w
;;if [trade-record-one-len] of myself > 3
( u" z6 `6 h" N2 Pupdate-neighbor-total
5 T' D* E( ?) s0 A% v9 U/ \1 c4 v;;更新邻居节点的数目,在此进行: C! I- ]4 I% `1 s" ?
let i 37 d5 B. D: i( W9 L2 |! D
let sum-time 02 f- q8 i/ y( T5 g: d/ h6 [
while[i < [trade-record-one-len] of myself]
% X4 e5 H7 D7 H[
' K0 W+ Q) ]$ I% R$ A' z* @1 aset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
; I% M% N$ j% hset i
9 K c- R3 V7 c' J+ M; j6 K( i + 1)& U9 U# E6 e: m3 L' \
]& h* k) _+ i6 t
let j 3
$ v8 e: H2 M2 y: w8 v- Flet sum-money 0
# S' Z/ p! N2 Q) @( a5 @3 H5 D$ @% @while[j < [trade-record-one-len] of myself]& B! X% G5 O+ F% N: O& h
[
% r& H2 b: ]" rset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)5 X$ V2 C6 @; x& A8 z8 F1 i
set j3 @2 F. X5 k4 _$ X) `: i7 u
( j + 1)
v K7 t- M$ ?6 ?: l& S]
6 d7 H4 a1 Q& Z. Y% C7 alet k 3
- N) _2 Q/ k( A# H" v7 A* Llet power 0
( f$ c$ ?$ ?) A* W* }# slet local 0
# z y" W* x* b8 w' u( }5 mwhile [k <[trade-record-one-len] of myself]' b( F/ q; x, a2 @( v7 j% t7 Z# z
[& q; k0 u: t3 }* _
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)
6 U) K S2 Z1 Q1 G' iset k (k + 1)
X& z7 c! O: L7 K]
2 p/ I( ?1 p3 H' i- Q" q; jset [local-reputation] of myself (local)
9 |$ W- K7 q. `# D& Qend
0 |3 j* v9 `% e
7 s- t( w$ o% u* v% v) q) Nto update-neighbor-total
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if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]/ N, P0 }/ g5 r9 `$ m+ N
! x9 v7 l, x# u9 p) z& I
& J; H. d- Y+ W1 D# bend! f- l# \, y6 T1 l* i! D3 h
: p4 i8 u. B# [" N1 L& ato update-credibility-ijl
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: N; u% U& \4 `: M0 s" f8 i2 q;;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。( s8 v8 t) g: u& ~* v8 h
let l 0/ E& c. V" [2 M9 o9 m7 z) ?) C
while[ l < people ]
! S& d3 n/ Y& T1 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
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- V* R' J* {7 k( [0 v5 |; y% Flet trade-record-one-j-l-len length item l ([trade-record-all] of customer)
2 S0 q3 ?- A/ V* ^# Aif (trade-record-one-j-l-len > 3)/ A) S9 c/ Z0 P' M% t
[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
* }/ g: k9 G5 w& \+ jlet i 3. z( p) n! k5 C8 S; l0 P
let sum-time 0
8 l5 O0 C y3 O, @: ], Owhile[i < trade-record-one-len]
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: I& H: c) w& R" v/ Aset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )* A+ E& d1 u6 w) `# X5 N+ @7 H
set i7 k# ?! N% N* r3 ?
( i + 1)
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let credibility-i-j-l 0
2 O/ p2 o" L2 S% S7 P;;i评价(j对jl的评价)
) n. \ `3 v: b. [# E! y8 X5 ilet j 3
! t# j, S% N! `- ]* H" olet k 40 W* S" c \. z0 R
while[j < trade-record-one-len] V( S8 m. M& G5 ?9 ?" J
[
7 J# E7 ]+ C" _ _1 V6 v3 ?8 fwhile [((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- r# {7 B9 D, u+ N
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) B5 t! p7 u0 u4 M( |
set j% p% C# ]+ S+ Z9 j# ^ t
( j + 1)* G: m& |2 z9 G3 [& g; y. L; j
]
$ W8 M" m$ p$ b# R: vset [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 ))
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/ }9 A) U! S. i8 Z/ b, hlet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
& R# O" ~+ I( ?$ \+ ?' B# a;;及时更新i对l的评价质量的评价0 @) V, T! l. E4 r2 s9 z' a/ e
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]; }, j) R7 Y) u. G9 M/ k
set l (l + 1)$ m$ q3 ~& |7 a6 y4 x* w9 w: R
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end+ V5 a1 O6 [, X9 u6 ?, x- @1 n
5 F7 i4 r- C7 O! U6 hto update-credibility-list
6 q, y# o( O+ H. Qlet i 0; q% B5 U4 `/ P( C9 Z
while[i < people]
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2 x9 u' i5 z- {. W+ [* M+ |2 ilet j 0
! k0 _0 E5 m5 n4 F# `! Z+ a- |let note 0# Z! \! w: z! W1 _, C
let k 0
7 z/ a: o/ p" G;;计作出过评价的邻居节点的数目
( C0 u3 T# e. ^% R) i: ?; vwhile[j < people]8 C9 w9 Q3 q- z# `
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if (item j( [credibility] of turtle (i + 1)) != -1)4 e0 m! F; C+ u3 l6 ?
;;判断是否给本turtle的评价质量做出过评价的节点
5 D" V+ S" G& k7 ~- q2 x+ u8 f[set note (note + item j ([credibility]of turtle (i + 1))), `9 Z: \4 |- R; T$ w- S' L! y
;;*(exp (-(people - 2)))/(people - 2))]
% k w1 z$ D- Z y& k) Rset k (k + 1)2 J E4 l( N+ n# S6 M7 J' j
]
7 L ^ z5 A: {6 K$ {7 bset j (j + 1); g. G9 d2 W# x) g6 i. V, L
]1 x* z& G) A2 {0 W$ d7 T! o" b
set note (note *(exp (- (1 / k)))/ k)4 r5 \1 y1 ^) o x: B) \6 a
set credibility-list (replace-item i credibility-list note). v( [( C1 R1 ], M2 ]
set i (i + 1)
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g5 V& `, _1 l% E6 Jend4 K2 G) e$ L, i" A
( m6 l, R' _) j1 r' G M: o: }
to update-global-reputation-list$ |% O9 |9 `. H+ P9 ~$ n5 a" o$ n+ q+ M, J
let j 0" \- X2 o) M# E. f4 Q9 o: G
while[j < people]5 Y' U( b5 y5 `0 p
[
9 j0 Y/ y- Z0 A% n! [+ jlet new 0
; h6 `. d% q3 U3 j% N7 [4 g;;暂存新的一个全局声誉
) n0 T- T9 O! I' ~! {! ilet i 0
' t) A4 b$ d2 J1 Nlet sum-money 0) L z$ u$ j& E: z( _1 y4 Y. G, k
let credibility-money 0/ z* i' y, l' }" x" `+ z* g
while [i < people]1 m+ ^% ~1 M; ^0 \! s7 ]
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set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
/ [" L) h8 e8 y/ m/ r: T x0 |$ O7 lset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
% G: y; ^1 [- Z% E- x& aset i (i + 1)
5 |% f4 R6 G, y3 o]
# v; h: f o* K& Tlet k 0
8 N$ {4 o# K6 {7 @7 W( T$ ]$ wlet new1 08 l* W. U7 V D" B& p A
while [k < people]
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* j; B1 Q7 \+ b& s$ Z2 b% g1 tset 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)
$ [$ d( R' n0 c5 U5 ^3 rset k (k + 1)" t$ Z& q$ W7 ^3 g, ]
]" D. z( i2 X3 i
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
0 X4 X3 q" n( V- t/ kset global-reputation-list (replace-item j global-reputation-list new)
) o; z8 N: l4 q" [3 I% |- nset j (j + 1): A& l) D( w6 s3 X, k& d5 ?: T1 v' t
]* G- @' o1 D& p- `9 U! P
end% ~7 o8 j3 C" M
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to get-color
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set color blue$ h) t. R# w6 K, N7 [% ` g
end
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to poll-class
: j% Z' F% p% c# I/ x3 s% {/ [end' G$ D! c. Y; n8 W
3 H, f- |8 `/ Lto setup-plot1
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set-current-plot "Trends-of-Local-reputation") g$ |5 z; a- z: G9 @
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set-plot-x-range 0 xmax2 v0 f% p7 |" c* N' x, H& ~
6 G2 o# C* h/ x* h; e( t+ {1 B3 @2 y- x
set-plot-y-range 0.0 ymax
" \ M# g% W' x3 Dend7 \ c: c' z- S4 _! j* a1 O8 p& g
4 m$ ]& M! F5 c( R. o+ b7 _
to setup-plot25 n N/ ?9 n! t$ E& K# _
* X W4 N9 c7 E/ U3 vset-current-plot "Trends-of-global-reputation"
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set-plot-x-range 0 xmax
9 t+ h/ ^! ^+ t5 m- A b, Z5 {
) U4 E, k" y9 q' Y9 Yset-plot-y-range 0.0 ymax
0 K) a4 p! b" v% S& t; Cend/ V5 o; N( K' w! K2 @! @" o0 r# G+ g
3 G3 K" d% }: ~4 x& H* T9 @1 Qto setup-plot3
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6 v9 W0 R; b2 c% Z0 [; Pset-current-plot "Trends-of-credibility"7 F& @; m4 v$ R. U! Z' Y: ]; R
+ J! R( O4 ]) M: n6 H* Pset-plot-x-range 0 xmax7 k8 Y' M5 ?8 u. h# ~9 C. M- l! _/ c
# d& D2 A: _ Z, Y) P- Kset-plot-y-range 0.0 ymax# H5 L. j* u8 b% }! d- O s
end& U' \% I) ]1 B6 k0 _
% Y2 B' w( X+ M8 z; ]; r# K2 ito do-plots
8 j9 @& ~7 V( J" D1 Yset-current-plot "Trends-of-Local-reputation"- @# `4 g7 X8 }
set-current-plot-pen "Honest service"
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) i0 V: q2 |' R# t[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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