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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' F! D1 K/ w, ?7 m
globals[
# M2 ]. L s0 v& Q5 S" u6 Jxmax* @" C* e( l: \) @$ W9 \ S& \5 W
ymax
: b2 |4 w% T: E3 v" P" mglobal-reputation-list
" W. m. g; `( L2 g. u
3 K9 w# ^8 P( P, l& b;;每一个turtle的全局声誉都存在此LIST中
. z4 T/ P t; L' m; z" w3 Ocredibility-list
a) D, O) H% l1 O;;每一个turtle的评价可信度( d" S# e6 Y0 l7 B8 H
honest-service' w9 j& A8 F3 H; {9 h
unhonest-service
6 N9 f) b, w0 l, F. f$ u% woscillation; B+ g. |! F" B, [: g
rand-dynamic( @( h- ?/ y3 j- ]: d" s5 |4 q1 S
]
5 x( T5 R% }/ }; a' j$ b$ `3 H+ w2 S+ s: x m1 J
turtles-own[
- x$ w% k4 h8 F H. F: F! ~trade-record-all
" w6 k8 ?- ?" W( I. h9 `;;a list of lists,由trade-record-one组成3 f/ ]1 ?+ X" ?$ A9 M
trade-record-one5 S. f/ ]( j! g$ Q+ S' @$ _2 x+ k
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
1 k% L3 E8 p( m/ ~
1 d% [2 m+ K2 F. A! }& X;;[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]]- g9 v! Z t' c! u& j. e+ b1 t
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]: c b6 H# Z E6 |/ E
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$ q1 K `/ g- }- K3 S9 F
neighbor-total
+ \& h! a1 E9 ^+ [& B# G9 y;;记录该turtle的邻居节点的数目
* _1 P% }2 w' d" q$ w( Jtrade-time- s2 i3 }! V+ y7 r4 \) T
;;当前发生交易的turtle的交易时间0 J. f8 n g( `. |. t9 h# T
appraise-give+ b$ R% {" ~- f
;;当前发生交易时给出的评价
7 C+ b7 \( F5 \% w- H1 z$ Aappraise-receive
/ \$ F' C- S; C# ]* {& s;;当前发生交易时收到的评价
' o' m/ E2 a s% ]: q/ tappraise-time
8 A$ T2 c1 ]2 } u6 i6 d5 ~;;当前发生交易时的评价时间
% h' A0 C0 n, W+ ^local-reputation-now;;此次交易后相对于对方turtle的局部声誉
, o9 t& ~8 x5 Ttrade-times-total
% x! \" m* _, { t' T;;与当前turtle的交易总次数
6 D/ }; v8 r( \7 x1 Xtrade-money-total
& r' e+ X" P9 B4 Y) ~- P+ E# _;;与当前turtle的交易总金额
0 p- S% w# d L; m% Y! Flocal-reputation
4 N: _* N4 c5 t( y. wglobal-reputation& i3 a5 S H2 U y
credibility
7 w3 M F( E3 w2 X* V& P7 C;;评价可信度,每次交易后都需要更新 s! `) N4 f% V8 z% J
credibility-all# J$ a7 f5 n: S1 D& G/ o
;;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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;;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
5 J: r, z# s$ f4 P% ecredibility-one4 J4 K5 y4 j8 f. Q5 Z @7 |5 e
;;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
2 z7 L% T |3 f' E; B0 R; mglobal-proportion* c8 m8 F& z+ @ z' O) r( l
customer7 S, S3 Q( e0 s) h8 b7 G4 t
customer-no
2 J u# Y1 ?3 l C; g: _8 ctrust-ok
u- \: {9 B! S4 b+ j4 R; {0 v0 ftrade-record-one-len;;trade-record-one的长度9 C5 c) d; z* v+ P& H: q
]
( h. K q3 e0 p1 O- j) }( _2 p% g7 M: w0 S/ C" w4 `, P
;;setup procedure0 [* e9 h5 j2 @5 j% j# p
2 u5 s. T2 {4 U3 }! m! h o; Kto setup- ?. o' I" d% s7 j) r8 R5 L+ a
1 K \: y% i7 k: {8 h; d6 ^ca; k( O2 v0 I4 U: l6 i
/ L7 f; d% v# O3 ~' Einitialize-settings
) V% X( t/ u6 n0 \! D! _4 ~# {& {
4 y1 O4 g# U c; d scrt people [setup-turtles]
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reset-timer
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3 ?# H& v2 y! L) w! Zpoll-class& }. B0 a9 g6 m" O, s' N, v
. v8 P7 D6 F* k# b# Ssetup-plots
b* k7 b& P9 _& h" o7 H' F5 _" u c1 g( _
do-plots
( o# i# c# a6 M" t* Wend
G* j' v9 O' _: K1 o) y$ b7 W
2 N7 h; i6 L' O) q" `to initialize-settings! e. Y' M+ w$ i, i& ~8 K
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set global-reputation-list []
5 u% N/ }1 l; Y) a: ^3 t4 u" P9 p k/ F% {
set credibility-list n-values people [0.5] I3 ?' `# [+ L5 P
6 K9 W/ Y$ x5 o' ^+ D0 L/ a: ?
set honest-service 00 E6 q: o, G2 e9 U) ]
) I. p5 Q$ u) W! Zset unhonest-service 0
* c+ E4 ~1 g' \+ a& s( Y- o* Z& i* T- X" r7 y9 D. l
set oscillation 0
7 t5 G9 D& d# b! n& n' u" L8 _9 S
' e) G% G, k9 Tset rand-dynamic 0 r; e/ Z* \7 F% d3 N+ K+ d+ j. V
end
4 H( z2 J" j: j( A. p9 ?: _
& q# F/ |* [* uto setup-turtles
% {9 ]: U7 P# R) E# c& Dset shape "person"
/ h j ~7 {' u5 @* q |: wsetxy random-xcor random-ycor& @/ B8 T) U5 M* e; X3 w+ c
set trade-record-one []/ W) M3 ?7 m, R8 W" e4 W$ [; }
8 ?# ]5 }) |9 O7 a/ _set trade-record-all n-values people [(list (? + 1) 0 0)] - }! o* P% O$ P1 c9 s
+ f W2 f( O+ k& S" J; ^ i
set trade-record-current []
2 J4 h9 j2 `* I/ Yset credibility-receive []
6 }6 H- R& W) W& Zset local-reputation 0.5/ I4 L% C0 S# s5 q3 Q4 @6 {
set neighbor-total 09 k& g8 x& d( t `% b4 C- r
set trade-times-total 0
1 [8 r( U& V" D- A& l* Q, P X& Wset trade-money-total 0
5 B" ]# b" F( ?: {( [3 d$ H: tset customer nobody
4 D, H+ i- Q l" E# B6 p, B1 F. lset credibility-all n-values people [creat-credibility]
" S, \) q) h% X5 jset credibility n-values people [-1]
& P z1 q' K5 r) S8 z+ q# o+ ?get-color
9 {" ^1 U- B8 e/ W
2 O b7 p) ?* z1 o5 y+ ` t7 h& X- jend
2 q. D* R) J: W1 N! }, `( [* g E
3 @) _( z2 u }. n, bto-report creat-credibility; @$ N. c ?+ `1 Q4 ?0 p
report n-values people [0.5]7 a0 {5 l9 ~4 J5 S3 G! }+ n" I" v9 f
end6 \9 v& @! B4 D
1 R. Z9 b' U6 I2 E5 D3 F' }
to setup-plots
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set xmax 304 g% M+ T4 l6 ]
/ \( B, @0 R6 fset ymax 1.0
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( [$ p0 U2 u$ y% qclear-all-plots
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setup-plot1
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5 R; P0 \$ Z) Bsetup-plot2) _, o# `8 u' C1 R! a7 r; }( X7 X
7 J0 ^) D- a( z1 L- l
setup-plot3) m) J2 L8 k8 V* E
end) U) R7 F8 m8 j" K
. Q c1 i. Z u5 @3 C
;;run time procedures8 W, l8 }9 A, Q; }6 t- `$ R* a
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to go
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3 @' ~! @) r# A5 Fask turtles [do-business]
( V2 W/ g) ]3 Z6 W! }end
1 [% v( s! w5 U
6 n' h+ g% K4 Y5 K/ w2 z6 h3 n, g: [to do-business
8 o1 B- J4 b3 R. W4 H' N
) b" [2 z. c w* \9 j" v2 h2 }) C! R1 ~# V5 e# W& K
rt random 360# ^: I) L6 G0 l
. a8 t" |9 x# U$ Y6 ^
fd 1
4 C, Y% n# B* t6 p u
! P9 b1 R5 }' q) x3 N. iifelse(other turtles-here != nobody)[
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set customer one-of other turtles-here
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3 J% r4 l" E# \# |* K: N;; set [customer] of customer myself6 [' y2 X. [& |9 f" x D: r
/ p0 d. l% {" T1 w0 N- ?2 }set [trade-record-one] of self item (([who] of customer) - 1)1 M- a) A4 x- ^" d
[trade-record-all]of self
1 B- L2 W; _) t% C& l0 ~! w;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self& w' \9 {) l5 ^" X% x
0 B" f! V) L9 j' J# {
set [trade-record-one] of customer item (([who] of self) - 1)
' ` h6 I# S$ Q6 P& ?[trade-record-all]of customer
9 [6 Z+ O; P/ o3 Q
, L7 j3 x# q* n W" |* n; mset [trade-record-one-len] of self length [trade-record-one] of self; ?9 z) C3 {# }. R7 ?5 T
- C! i* }0 ?& u; H- @set trade-record-current( list (timer) (random money-upper-limit))" |% c- M6 _6 Z$ V8 Z
( v4 O( c j; e2 ^1 Q
ask self [do-trust]
3 f* \* u% e1 V& z% F;;先求i对j的信任度% ~1 ^7 n3 G7 c+ s, D# t5 B8 X
& [ k" E1 L! V4 }4 }! _
if ([trust-ok] of self)
( q. v# X& J3 R( t' K6 |0 P: G. i;;根据i对j的信任度来决定是否与j进行交易[
2 B( d* y! C* q \$ k2 P0 rask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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[1 ^" M! u" ~/ c0 [ @" A( X/ @
" V# h; X* D9 k# S$ e. |
do-trade
0 }" l, ^! l7 K% V" u. k! d" M7 K5 B7 ~6 ]$ L) E3 N7 G
update-credibility-ijl& ^3 M" l' @' v2 z
- |' E1 t2 a/ Q, S) kupdate-credibility-list) s: r$ W; V2 f# X, k$ z
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update-global-reputation-list
8 j7 v7 {3 Y, k% d- z* v( M2 U) K8 P0 r" Q; ~
poll-class& j; R8 h2 ~4 d, N8 i
, F# Y0 f( m* |# s3 e" j
get-color
- E2 y. b9 a4 k. w8 p! O
- i: G1 @& ^# d4 E4 r]]
E( e) E6 h8 h" s
! ~. ]% F: a- A& v \1 ?! C;;如果所得的信任度满足条件,则进行交易9 F6 F* ]$ V9 {8 A) \% T
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[
- f* L, W1 L8 g7 d6 Q1 `: g
: O7 E& m: |1 J9 ~ ^# |- E. Rrt random 360
+ z! C! q5 c7 K( @1 ^5 } i8 d; S1 R; Q* A# F2 k
fd 1
( ^; L3 N5 O2 N
# ]: k7 U2 m- P) c6 u6 `1 r) D]
8 X3 T5 _" X" t( G4 n5 h
5 a' q6 y, {5 S+ O* [! Kend
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to do-trust
" C* S5 I3 S+ E' Q5 v4 j( _set trust-ok False' Y! f0 h8 g9 G$ f& e6 r/ d5 X
' _# ]8 X b2 S2 w
5 ]0 X* U& i" N1 E" T- u7 llet max-trade-times 0
5 G* _3 m1 a) x) zforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
; g' \5 a& L$ zlet max-trade-money 0
j1 o/ M7 b- t& A9 O4 B' Nforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]/ V8 v5 R4 Z+ C! ?/ E. s
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))# B$ [, X; h5 ?0 Z; q$ Z
3 ^# Y7 z# t8 e3 O0 x) f0 p% B! v" R# x, L5 A) x9 y" Q+ S, z
get-global-proportion' Q: [/ c6 n/ A! C
let trust-value: z y; ?# @: |
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 C# U1 W9 @3 W3 Kif(trust-value > trade-trust-value)
! g2 D% j* o3 P: ][set trust-ok true]
" n6 P+ s+ r c8 J' b* j" \end; @! j! k) ?2 B
# J. M% }3 h8 b- \1 l/ b& {
to get-global-proportion! z7 @# a# [$ }" _
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)/ h( n* u" C6 Y0 w3 S/ U
[set global-proportion 0]( L4 v3 h( n$ _. V+ n* T9 j1 N7 i# v
[let i 0
( t3 x5 S) z: z; Z" plet sum-money 0/ n N8 O! G4 V8 U' \- `
while[ i < people]7 V$ W. y$ r# ^7 k: V$ t4 W
[$ H! v9 S3 A, m @
if( length (item i
8 I" V2 D8 Q3 X$ o[trade-record-all] of customer) > 3 ). h2 A1 @1 E! U: @. l
[
$ K4 a; Z+ q1 `" ]set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
0 W* U/ o I0 H `+ n$ H7 _]& f" G7 n9 U; V
]
: ^2 r% B/ _0 Q$ c) p3 e: Slet j 0
1 x" G1 P7 u1 Z2 n8 I4 A0 Vlet note 0
9 v% z/ G% o- k3 a( \while[ j < people], r! F3 e# N1 O6 l: |3 ?
[
( L8 R, f C8 x5 r2 h2 x0 ^if( length (item i! }* G' m, m7 l8 e Y
[trade-record-all] of customer) > 3 )/ p- V- q+ g' d7 c$ O1 p2 R3 P
[
& d; f/ X/ W5 z( I* Bifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)6 H, J, d$ i' c3 w
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)] F! x. |" j; P7 o( b
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
' s6 I- C0 ?1 i7 x, n]
; X9 d6 V0 X9 E" ^& X8 G; M9 B; _5 a]
' ]: {& l. u) ^% Fset global-proportion note) i7 O6 _- s- ]6 \' }1 r- p% n
]" n% x, `+ a. x
end
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to do-trade4 K, R' M( s9 n- I$ [3 K% g
;;这个过程实际上是给双方作出评价的过程$ @! Y( A0 u. }, q& r
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
, L. @4 P; E6 K( vset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
4 G8 h, @" @/ f( \& ]# V3 A9 J$ P0 {set trade-record-current lput(timer) trade-record-current% `* m6 u+ r( S0 C0 J( k1 l
;;评价时间/ {8 W/ y. s+ o6 B
ask myself [" J3 E* q9 e8 C/ b. Y |
update-local-reputation
/ \6 y3 K: X% C, A$ R: L, z: Zset trade-record-current lput([local-reputation] of myself) trade-record-current$ O1 o. c, U$ E
]# {# q w7 v+ ?, e4 m
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself; B0 u( @1 k$ f* G4 k3 c, D
;;将此次交易的记录加入到trade-record-one中4 h( Y. f4 o" S6 Z( Q
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
3 `5 ~7 {* I1 R7 y" E( Ulet note (item 2 trade-record-current )" i+ {# M0 {. M1 t4 B4 V
set trade-record-current0 c5 Y7 ~1 }1 n2 T
(replace-item 2 trade-record-current (item 3 trade-record-current))
1 J+ ?$ n9 s& D) C3 E6 zset trade-record-current* u1 [) z9 u& R4 w Q. T3 E
(replace-item 3 trade-record-current note)
B. [2 q* m& q J& Z. D7 B+ a
' _& i8 U" A" r: p+ I
( f6 V' _/ E8 I/ T$ task customer [, v* {& X# C p+ C( Z
update-local-reputation
# F- m4 _! O. J6 ]& q) Oset trade-record-current
) M- }7 f$ H; x# q- x4 Q* f, f& Z(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) " A& v4 @: z& s3 T- K n3 j; y
]2 ~% T+ u5 m2 R7 a3 _' p
$ w9 W/ N5 j9 ~, A# c
( R1 H5 D9 U1 [% A( D+ j* Wset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
6 _( n3 w: m; S# z8 Q# \6 Z3 T9 Z
5 O2 {+ W7 o6 uset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))9 G; _% m: u4 g$ `
;;将此次交易的记录加入到customer的trade-record-all中
0 i) R# o, C% l" E$ B; V+ d2 J2 u. Z# L( bend5 l# {: s* O l1 ]" o7 E! |8 w: R
+ \$ V }* m0 C" l) n
to update-local-reputation
9 k2 z% v' p! v: @2 x$ P4 M) Lset [trade-record-one-len] of myself length [trade-record-one] of myself
7 u9 F9 i+ @. r2 ~9 W" F p. r% N! o0 `1 @8 j% ]4 a T
& ?$ R/ P- C9 @ r; `* ?1 X
;;if [trade-record-one-len] of myself > 3 6 v; Q, f! E# ^ r
update-neighbor-total# ~ G3 E* V4 m# p+ H- y
;;更新邻居节点的数目,在此进行
! q! g1 v5 I3 G/ _8 Clet i 3
& O* U, K" U: K: dlet sum-time 0
5 f( H. k! w9 Q% y" F4 L9 nwhile[i < [trade-record-one-len] of myself]
* P& c3 E/ ` d. a; X$ z[! f* T3 ]: @ c6 |. J w
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )/ _$ P5 ]( k8 \9 n2 s8 N' m4 W
set i
% t; c! q. l q" Y( i + 1)
, S0 t; u) i9 }; N]( ^0 E) w# |& g& f I/ K Y
let j 3
5 K4 S1 ]; X% Y; p: olet sum-money 0$ N# @- G' B' t, A, U( D! X
while[j < [trade-record-one-len] of myself]) _+ D5 B P$ k+ r/ R5 M
[
% a3 A# L% \9 P7 n, P! g' t5 sset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time). e2 m# K/ }* e- o
set j5 r- k9 q+ ]5 r9 `9 a* s
( j + 1)
& M/ v" |- Q M! u( U) j]0 o% }' N8 L8 F$ V, Z* H6 S
let k 3
% n- c! h7 y [" m1 `let power 0# l# P9 Z# c b
let local 0
3 r" p1 Y9 k* B% ^* iwhile [k <[trade-record-one-len] of myself]
" N' x# w% j# {9 c2 H/ N G: e[! J. O# I; V- X
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 l5 C1 X$ n; e/ ]- P
set k (k + 1); p U3 |! O* ~
]
1 U0 ^3 G4 v" Vset [local-reputation] of myself (local)4 s8 p# U6 l1 M+ _8 z Z0 p% _
end1 C2 W6 ?' F" H% C5 w7 h' O0 Z' d
2 E3 d: D" k" K1 y4 h
to update-neighbor-total
: y8 [+ t/ j& D/ @. q0 }. n% \# J) ~% b6 h. U7 x: S# i
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
/ ^8 B- ]6 y# B3 U; [9 D; E I, }
- t* w+ a" g$ E9 Z1 m, F; O, uend
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to update-credibility-ijl
2 i% Z' F2 b; l% m( @- s6 j
) b# O" f: T3 Z;;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。
+ t1 T" e/ { B5 f; Olet l 0- ^7 G+ ]4 ~2 L
while[ l < people ]
! x) M3 r4 w7 G$ |' U1 _; y;;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2 A3 j; D; O1 L m
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let trade-record-one-j-l-len length item l ([trade-record-all] of customer)7 F0 ] Q6 I/ J Z# C& M- s+ B# N
if (trade-record-one-j-l-len > 3)
; A5 ^8 t! N" Z' 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-one6 L& |1 ?* Y- f4 ? l! l
let i 31 ^1 Z5 ]4 v2 q, H; E$ g
let sum-time 09 b& M* N$ \8 X
while[i < trade-record-one-len], I8 A# M" e) o( p( ?; ^
[
2 n( d; T4 y% E3 b+ |4 Uset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
$ R, u" G" {" ^- Mset i
3 ?# N+ d7 I6 n; ^. z3 O' K2 W( i + 1)
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" M; f, O" T, c6 h" g7 w0 |let credibility-i-j-l 0
5 w/ g; O# D4 C, r6 }1 W2 h+ i: ~3 @. ?- ];;i评价(j对jl的评价)" ]. |) h: u7 K
let j 3
: D, ^9 x5 h1 E# p- nlet k 44 N& Y8 e; d3 e$ L5 e+ @8 Z
while[j < trade-record-one-len]" Z5 c, O6 V0 ?' j7 {9 z
[ i( H2 u# u3 d
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* K# i& X8 z' [4 M( y( G: ]
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)0 Y1 ?* I* |+ ], A4 ]6 @
set j! X8 X. P( O0 D9 v
( j + 1)
5 B; N2 r! m5 }4 d' e w]
9 m3 N" e/ d% z. h8 X( Lset [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 ))5 K% J+ S/ L& M* K
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4 e" o; j2 {, Plet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
# x- v% h" H$ c;;及时更新i对l的评价质量的评价
3 F4 {" P8 |; hset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]* W& D: s$ C$ {
set l (l + 1)) n g6 J2 \6 w) f
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end$ s. f8 C: b/ A: ?& q5 a
7 E' ~$ f J; [# g% K7 u: {to update-credibility-list0 w. u$ b' G2 I A. B
let i 0
' e/ E. q8 e) |2 ^) p4 Fwhile[i < people]
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let j 03 G( J* {2 J. J
let note 0* s2 b( Y# L) K; t
let k 0$ ~( r8 L8 X, a1 {0 `
;;计作出过评价的邻居节点的数目2 j0 T1 [4 k! X2 i2 M
while[j < people]) m* x6 i1 Y/ d; e; X- c
[6 z% I" H& @# x6 W: o: S' h! \. e/ _0 w
if (item j( [credibility] of turtle (i + 1)) != -1)
8 E1 K" z. [* M/ r% V6 A;;判断是否给本turtle的评价质量做出过评价的节点0 R* P2 K; ]& ~ D+ E2 O3 t& [, E7 u
[set note (note + item j ([credibility]of turtle (i + 1)))+ w( {1 I8 s0 |+ c3 Y- t
;;*(exp (-(people - 2)))/(people - 2))]& K3 Z( }9 [1 M6 b
set k (k + 1)3 i" z1 U- U9 i6 y4 G% l i& R
]# Q* _4 [- B/ z* o
set j (j + 1)' I( z( S1 b) _4 T. z3 h% d
]
; u& @5 t; A; y o( m+ ?set note (note *(exp (- (1 / k)))/ k) q( }! S3 d( e q( ~" N" K' C7 I# H
set credibility-list (replace-item i credibility-list note)) N4 s3 w5 r$ U7 V+ }; N- O' l
set i (i + 1)" Q: b2 m0 C. j% V) K& k; |$ @
]
6 S! L( i( O9 h/ ]2 H" o6 L2 \end
p! V" @& i. @7 t* i" z) w, _. F+ M& c
to update-global-reputation-list
6 y- D8 ]5 i6 z3 m5 L! Xlet j 0/ R0 W. _2 ?/ w- v" R) {
while[j < people]" N* `/ u; G) |4 J A; E2 b+ b
[( C% J. n: O7 y/ I- \
let new 0
' }- f/ b1 V9 R( H3 U, q9 Y, j;;暂存新的一个全局声誉8 w* U1 n, x0 q/ X
let i 0
6 n! E" k. L: |7 L) G. O9 Y' wlet sum-money 0
1 a+ q1 N, A8 V# P' N9 f6 M& J# flet credibility-money 0
M1 R8 \0 s5 j S1 p2 ^$ I( Fwhile [i < people]
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set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1))): C/ F w/ B; H: \& \
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list)), E8 s4 l4 C8 u W
set i (i + 1)6 K, w. U0 B3 s
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let k 08 T3 Q( Y. u" y# s7 k# m
let new1 0& m# n3 U6 H4 [, r% ?$ `7 g8 T3 m
while [k < people]# Z$ {- Z [ ]9 F' v7 P# j& r
[3 c% u1 p+ p F* A- N4 C0 v$ i
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)/ p5 r$ X/ K% J
set k (k + 1)0 `7 x' o% N! g# D* j/ z) }2 J
]
7 M) F8 M2 d+ j3 E( U9 zset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
& a( M4 o; m- D& B, Rset global-reputation-list (replace-item j global-reputation-list new)1 _5 x$ Q* x/ M. V: F" \
set j (j + 1)
- l" @5 `/ \+ q$ M]
5 e- L9 k( p, v* o9 Q( Hend
( x5 Q( m _8 L" W$ d: {+ a4 j& l/ v( [2 N9 }% E E: B" A
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to get-color
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: G$ R* u2 l* e6 y" ?; n' vset color blue! ]8 I2 B- w( E/ A
end
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" o% b+ w! J( yto poll-class6 l3 \# K E: z" k0 _. p
end
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1 Q1 t4 l7 G" j6 M! e! Hto setup-plot1
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set-current-plot "Trends-of-Local-reputation"
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set-plot-x-range 0 xmax, }7 P+ ]" v; n( J/ J/ I4 i, z
7 ]* G' V1 l, wset-plot-y-range 0.0 ymax
# V2 v w! r1 n% R8 C$ C" Tend
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to setup-plot29 j+ p3 L2 ]* a1 W/ H% C1 a
, v3 B M" ^7 ~4 F7 d! k) Dset-current-plot "Trends-of-global-reputation"2 Y/ w! t0 P" ?9 q/ Y
3 i6 q+ [- N! f. i: \7 U. Hset-plot-x-range 0 xmax: q$ K2 z2 s1 u3 Z6 ~( Y$ F
. n; R: k/ C+ z2 V- v3 Eset-plot-y-range 0.0 ymax- h3 ~" m6 X9 l6 x/ N) c
end
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( _1 J' ?+ b: C3 e4 sto setup-plot3
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h& O8 f, i% K$ wset-current-plot "Trends-of-credibility"
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4 F, f3 Y6 e& |9 C( g$ qset-plot-x-range 0 xmax
* m+ ]. ?% E, ~" Y
7 W9 M' ?- W% r* f6 j Qset-plot-y-range 0.0 ymax+ L; J8 ]+ y* X. s8 V
end$ T+ @9 {% l' ?4 B
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to do-plots
( f, Y J, A9 G9 M. s6 qset-current-plot "Trends-of-Local-reputation"
! s; e. P8 W1 M4 h0 j( {% F$ B( Iset-current-plot-pen "Honest service"
! {0 b4 X$ q8 Cend
* H/ i; x+ K1 S9 h
# d l- K3 H+ e: \. @; l* n[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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