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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0 X/ R) q0 Y" R0 B! |" I1 Q
globals[% d3 e+ e9 a6 R
xmax
! v2 G) @1 \: Q' p* Eymax6 ~6 A& x, W) q) j- u
global-reputation-list; ^ @8 v' Y0 ~
! q) a* C3 ~! o0 ~/ C;;每一个turtle的全局声誉都存在此LIST中
& ~3 N9 ~& c- W7 @. B. T" ncredibility-list
- }5 v7 G& l# r1 E5 L;;每一个turtle的评价可信度4 N6 a- N$ N" t7 `, T6 Q4 ?, A6 N
honest-service
; R7 R ?1 |$ Vunhonest-service
' ^; J) D; S' F. {, Ooscillation
8 M6 ^ u' e& Frand-dynamic
) U+ |8 x3 D; V; r2 t3 g. y) c]0 J$ e, j+ Y1 o
( o8 L* r- v r) V
turtles-own[
$ x5 x* s1 S$ O( Ntrade-record-all
; Z, |% Q# g2 M0 J) o$ U;;a list of lists,由trade-record-one组成8 w5 z+ b1 H" @
trade-record-one1 ]+ U4 \! m0 R* T, {
;;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 r8 o, d- t6 h9 r* e9 w
" Q0 O$ Z+ a1 u! _;;[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]]
f# b1 a* h# H: a) Jtrade-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]% i! G5 D4 i) W% W
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 v/ L* D, |: u& x) u: H; sneighbor-total2 R6 U u/ j8 f, g+ p% }2 A
;;记录该turtle的邻居节点的数目
0 q9 ]5 U4 _( @9 [0 ktrade-time
8 D8 z3 [1 s5 g;;当前发生交易的turtle的交易时间
% d2 [, d Z. Lappraise-give
! n% X. B! r# n' ?0 b;;当前发生交易时给出的评价
. b, ]+ C2 b1 x3 h* h c/ q$ Tappraise-receive
+ W" m0 Z2 c* E" ]: u;;当前发生交易时收到的评价
) g( _" W. D# Bappraise-time
' y# Q2 P! V& a- y7 ~% l;;当前发生交易时的评价时间
7 [: v5 V7 |, {1 v, c4 _: `local-reputation-now;;此次交易后相对于对方turtle的局部声誉) f; M: F) J Y: f0 n6 J
trade-times-total* B& z* a. X1 F* h9 i. X' u* i
;;与当前turtle的交易总次数! I* M% t! a" a& A3 m4 |
trade-money-total& H. z# F m O8 ]+ f) f
;;与当前turtle的交易总金额% f: f# q ~" Z! p2 H; d
local-reputation9 S3 ~8 ]( P- h1 c
global-reputation
$ s! Z& ~7 q1 @5 a- Y9 v' icredibility
' B% u2 B2 @. x, k% h0 d; Z;;评价可信度,每次交易后都需要更新
$ d5 F& O5 J G- [credibility-all) v2 B3 _: w S8 X
;;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
$ K. `1 d; \* d" a! {4 ]$ g2 F3 A) Q. i
;;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
# m+ T8 }# Y0 j2 T) k. S7 \credibility-one) Z1 l& a6 {5 c t; 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2 }6 e" }0 |% H
global-proportion
6 p/ k/ D, N8 {6 U; h% jcustomer
5 u4 U" J) ^2 J0 h4 e& g+ T0 ncustomer-no
2 s \: v6 F- W' G! U* wtrust-ok, p& z0 V7 F& k q" P" c9 i
trade-record-one-len;;trade-record-one的长度7 K9 c7 ?; @' d
]
; g0 y9 q$ ^' l+ ]! H2 d# x4 E. Y9 R5 \) p: \- P9 s# R- Z% A! X
;;setup procedure( u* K9 E# V. x" [! F
. b5 V9 `1 S. ?0 e) f8 x* Tto setup
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2 c" L& K, j* w! @# uca5 x0 @9 o' \2 P% S+ W
5 ?' m7 H4 [2 Z
initialize-settings( i- ^8 B3 R) e$ @5 ~. f/ @0 l' U6 T. Y
1 m; E1 b, B( Ycrt people [setup-turtles]
4 q2 I3 a) i3 ]2 q
- k7 X6 t8 u4 |* O/ | L% Hreset-timer r4 ?+ |2 M& v$ N% d
$ x9 c8 W; H$ Mpoll-class2 L7 i7 U7 Q/ F+ ?- _/ F y8 U2 J
; Q$ o0 @8 h+ I+ p i
setup-plots
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do-plots
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" k) s2 }8 }& k/ m) m( h' y3 U- O
to initialize-settings- @. ^/ n$ e! W/ N: ?1 L9 b
5 J4 z; w% I! \: Q- H+ S6 I* Oset global-reputation-list []
D8 b( r" n d6 M7 n% } H, O8 n, Z5 n/ m& Q
set credibility-list n-values people [0.5] ]5 O" _6 d% W u
* a( |7 z1 A' p' oset honest-service 00 R, ~5 o0 \. l
, i) k" Y8 B5 c% S5 L
set unhonest-service 0( Z- ]- a t: m( n& r9 @6 p
. v9 |, b' ?5 `$ {& Kset oscillation 02 L; g% f) o" [( t8 a# J+ [: r
3 l) W& p: X9 z) [3 o
set rand-dynamic 05 X* w+ S& {4 ~. H6 \7 S
end: z \7 m3 n/ q. ^
) }' Q' ]3 o& u2 H( o B% E. @9 dto setup-turtles ! ]- s7 D( l8 v
set shape "person"8 d" p* v) k" a# ?4 R3 a
setxy random-xcor random-ycor3 R1 ?& C! v) W& b: @8 d E
set trade-record-one []# Z0 [! d p9 F
2 A& @; w3 \5 Z& w" J
set trade-record-all n-values people [(list (? + 1) 0 0)]
* U: }% M+ t, n4 V7 Z k" a' n1 y! b' H: {, d
set trade-record-current []
, x/ `, @" @6 n- D8 k0 ~set credibility-receive []/ b# G8 A; Q* _7 |: `
set local-reputation 0.5
; E8 a( O2 N/ U; Vset neighbor-total 0
( z) E# `0 J/ y) _) t/ gset trade-times-total 0( L4 r$ n: _0 b
set trade-money-total 0+ A; c" [$ L: L
set customer nobody
" R9 E) i% l% r% y. s! Eset credibility-all n-values people [creat-credibility]6 t- K% ?8 W V
set credibility n-values people [-1]
4 x4 V2 l7 d+ A; s5 Aget-color* x) n4 m, T8 O% v$ v
% ~: A& R: T3 uend
2 e3 y4 R* f" X3 _
" K: z/ x' y- y/ z+ I1 Eto-report creat-credibility0 I3 Z3 ^/ Y+ A- |9 p o
report n-values people [0.5]3 W% c/ o: Z8 Q! w! q* G A0 ~
end
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3 | y# v3 h( T- o. D7 vto setup-plots
8 `3 b2 j+ U( ~2 ~3 x! E; `- y* z4 E
" ?7 p# \2 X3 g( c- mset xmax 30
% U S! f& Q8 `; b3 m
9 Z* E5 b& Q2 W- M; Wset ymax 1.0
1 i: C; V( E3 D: |# x' r9 E) c
8 r% t3 ^4 X. | E' b4 V" E- oclear-all-plots$ C5 E9 D" C: C- r
1 E1 `" S8 J5 f$ s" Psetup-plot1/ l! N' b% P: j6 z
* y) |$ n& h1 p9 I0 P7 P+ Dsetup-plot2' n) s5 W6 x0 M; J
% V- p) t( { a# H' S1 h% osetup-plot3; ^' s8 v- [# a
end
0 [6 V; R4 m* W( s; a
+ m% [9 E4 C4 d. y, g2 [3 X! x;;run time procedures0 S1 N0 @% m6 p/ }/ z
- [1 z: @: {$ ?to go+ E. T4 @* u+ ]8 S% w
6 |& P! P; g" V ~. Y# l8 j
ask turtles [do-business]
5 K9 P; i4 t4 m0 D/ H7 P7 fend
# g) x+ D( W B3 u; o2 }( a# q
j5 C7 W2 b: nto do-business
9 M4 [+ `- s4 }- Q$ A; h1 U- k& h( Q8 D0 C( G; L
9 r+ K+ J0 q" d1 W, L5 B, Y
rt random 360
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fd 1
0 q8 |. w1 q2 ?$ l9 }' W3 ]
; U x5 W% H; g+ \! Yifelse(other turtles-here != nobody)[
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set customer one-of other turtles-here
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;; set [customer] of customer myself; R5 y1 @2 D$ s# [# e( S* u& u
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set [trade-record-one] of self item (([who] of customer) - 1)3 m, f0 f; _- @; N
[trade-record-all]of self
9 C6 H, |. G! G; ?: }8 G$ p Z4 ~7 m7 P;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self+ K% j" m1 R0 ^. {, [
3 H& K _$ E2 t7 x9 [% L
set [trade-record-one] of customer item (([who] of self) - 1)
- j. I0 ^8 r o- D0 m$ X[trade-record-all]of customer* o @7 n7 N! x- T+ q! _3 k# a
$ y( z& o3 ]1 p' _set [trade-record-one-len] of self length [trade-record-one] of self- a5 ^3 x! A, }: m5 s" D# Y7 m
9 [. w9 _/ @7 P0 Y6 cset trade-record-current( list (timer) (random money-upper-limit))
6 g( k4 t$ ?+ z% _/ _! p( ]
' ^2 Z9 Y% e- D1 e8 `- Mask self [do-trust]* z: w( t! `5 S2 F0 j2 m
;;先求i对j的信任度! R5 |% H m) A
) [* Q3 ?" i7 s+ Z/ hif ([trust-ok] of self)
2 n# O0 S3 \, S* ^0 Q! n5 J0 z;;根据i对j的信任度来决定是否与j进行交易[* N& p* ~9 u) }, ]4 u8 ^
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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& O% W, D# ? l1 `- D" U" K$ X5 k
do-trade
3 X6 P/ v* l, [% G+ U4 k) ^1 z/ ?2 t
! _! D8 [2 e" B/ }: n( p9 e Uupdate-credibility-ijl- q+ I( h4 @8 U5 |9 A4 x) s
- O: d! Y. b5 \% H3 Z- e/ i
update-credibility-list
1 q8 u, x; b& C' M% {" m1 c
% O+ q t2 s; e& V8 r8 b) r; U& w0 m+ B1 ^- K& F
update-global-reputation-list
) U' a. e6 i: ~
) S% ?& H$ f8 t3 d t/ X: T9 cpoll-class
9 U2 E( J3 \5 u. h5 r0 A( h/ k. Z5 F# O3 G+ k
get-color3 Q0 N5 W# U/ k) p
0 Y# `+ ^8 z6 t( z& Y: A- b
]]( u4 b2 g' L: I6 w
( e M) D& i% Y- R7 S! g;;如果所得的信任度满足条件,则进行交易0 j. N' c5 P+ l9 C! ]( @" }
4 B/ d) H( a" B% Y' G[! ~ C* {3 x) u, b& n
9 U' P" F4 ?/ |+ z; L5 }4 ?) Trt random 360. k: q5 ~- B& R4 }
: J7 x3 C) {8 v2 ifd 1: M; F3 r, H1 I# O+ W" |1 I$ Z, f
9 d% m V- ?8 y1 K+ g& C2 X% e
], _* M# }( \; L! A
; R1 _: l9 `/ p6 n: J4 }- K
end
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# @% C0 Q! Z0 W, C. j; j$ yto do-trust ! W5 A( U7 g! ~
set trust-ok False# X! V: z8 N: T
' F5 Q) g- P0 t
( j, }$ ^. n. I$ Ulet max-trade-times 0, C" t4 R! P( A
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]% g! u: _5 f- [1 t* g
let max-trade-money 0
. v# L. Q* k0 A$ t8 j# M$ \foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]/ E3 O0 K! |+ l. w# K* A
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
6 {9 T) p6 i9 v$ d, x* {& F. _8 C6 K2 L
2 ]" U: s! j4 Y2 R nget-global-proportion
2 F% o2 G! E- f& {let trust-value
8 G4 A3 W$ w w: p8 mlocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)" W: r4 p5 V. H A
if(trust-value > trade-trust-value)
# m* t+ y9 m6 C3 W; B4 w' k- f/ D[set trust-ok true]: n# K9 P4 g0 H
end
3 b* H! n- H6 Q6 S" m9 I
, z( [) c+ G' i0 k4 s, q: Y/ a- | Rto get-global-proportion) e: T% E3 n# e% G8 L
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)& u9 W- o% z2 ]; Y
[set global-proportion 0]
& {' H8 P; y" g( j1 I- Q2 ^[let i 0
$ r1 i* {( f$ O+ W, @2 q( hlet sum-money 0
- a! U8 _/ q% _2 w2 n$ Fwhile[ i < people], E4 P! W4 e: D9 n+ w# ]. \$ d
[
2 c0 G5 v1 ~5 X) H% r6 T: sif( length (item i
* r/ @! P' X' Z& p) I5 N$ x[trade-record-all] of customer) > 3 )
H$ h7 K; ]) [4 v2 K2 w[4 e; [0 | [8 Y* }+ Y' D
set sum-money (sum-money + item 2(item i [trade-record-all] of myself)) W q* l* Z$ N7 r7 {
]
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let j 02 x$ d, ?/ x4 ~# ~! d, m
let note 0" z6 @7 b- c/ P0 E0 L
while[ j < people]
& q' _2 b9 Z0 F5 g- V[
& Z) A& t) Y( y1 u9 cif( length (item i
6 O% q" N. H/ f0 O2 n: p( c[trade-record-all] of customer) > 3 )
1 L2 f9 Z5 ?6 M6 F$ h. M% T* q9 e[
# r4 K; m, Y1 p* s9 Rifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
$ A: B, u0 q& a0 d[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
5 _# g5 a, P8 Z3 d9 V[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]+ P! e( ], {/ s+ R% t- O2 W) Y' y# W
]
. ]& G. U2 ^- C p% o]
& c2 D: o9 @2 T9 Y3 Qset global-proportion note1 t3 ^. q+ s. K5 l& U
]2 V. E$ c; n7 _/ E- l
end
& X, Q a* @7 X$ _1 p! c6 E) t; w1 T; T' f% ?# J
to do-trade0 t: ~. }; ^4 s! W. l
;;这个过程实际上是给双方作出评价的过程
: X* D- ]; w9 @set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
% t. A4 B Q% V& C$ uset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
2 Y! o1 _2 j) ^! ~. V6 x5 \set trade-record-current lput(timer) trade-record-current8 c' w1 n7 I* f7 K
;;评价时间
2 p! K- a5 [' E. v& M0 task myself [6 Y9 N& f3 p& a& S6 O# a
update-local-reputation. D3 M4 J6 p+ u( g. u. O8 c
set trade-record-current lput([local-reputation] of myself) trade-record-current
. U; O7 R% J: m]% u t% c# t6 e
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
" V, g( O* Q+ ?' X7 i;;将此次交易的记录加入到trade-record-one中2 J5 L) P# c. C
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
) T* D; V; E0 ]7 ?let note (item 2 trade-record-current )
. u$ J: D6 q! j' _; Kset trade-record-current% ]$ Z& |- u, g9 |1 J, I
(replace-item 2 trade-record-current (item 3 trade-record-current)); z! \; q9 v' D4 K! h
set trade-record-current
/ N5 \4 P2 }8 ~+ Y(replace-item 3 trade-record-current note)
9 V# M* O0 C) x; h( C: L) f
+ a$ \/ Q0 }, F$ ~; \" R4 f$ _% G9 q1 i) N4 w8 ^5 E$ o2 S( |
ask customer [, E8 K/ D* \ E7 J
update-local-reputation* ]5 i3 n/ T+ B2 I
set trade-record-current
: p. r4 ^! e0 }& W0 T' O(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
8 ^3 Y% m6 U' w3 C]& D: Q) ~. T+ p; _6 p
( g8 i8 q# l$ H0 W3 m6 x( z6 u
% O. W8 P4 ^' _" [ M2 o! u
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
6 [, \. ?# U( [5 K# N& r8 y) g1 b, K" r7 j/ W
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
# i" w. w$ \3 q T;;将此次交易的记录加入到customer的trade-record-all中' A! `! j, ^' _, f/ \% i
end3 d( R9 L K% R- E, _; a
+ m3 k4 I) r, ^4 L! |' c# w4 G
to update-local-reputation$ g: n/ k2 _' i0 J3 A6 G
set [trade-record-one-len] of myself length [trade-record-one] of myself
s5 a: F7 o; v; |1 b
5 {" g! p- o& q$ ?# ]* ^( g. Y7 E5 p7 F( W0 j8 `
;;if [trade-record-one-len] of myself > 3 / b9 o& ^ A; T& Z# W7 I
update-neighbor-total
6 ]' S/ g; ^# `( p3 e% D3 `( F;;更新邻居节点的数目,在此进行# [' ~: F! U }0 {% G" S k* z
let i 3
9 R" P5 I8 o8 D0 N8 T( j! Glet sum-time 0% G* c% k" ^. y: l8 D& W( s, V* P
while[i < [trade-record-one-len] of myself]
! G6 G2 G* E5 s. R% ?8 n' k4 u[
4 o, K, N3 ]7 v d( K2 y eset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )0 ]9 K. F3 [. V7 Q8 e0 _9 ~; H. e
set i
( g2 [" i8 c5 O5 @6 {( i + 1)
! y) \7 A r* O8 S8 x; L! f$ ~: F]
; U0 @9 R8 j6 U9 p7 [% Tlet j 3
2 `& c8 d# t1 c- R- D/ X/ r1 Nlet sum-money 03 \5 V5 j" p7 l+ \$ g
while[j < [trade-record-one-len] of myself]/ J1 V4 g- P t3 _
[8 o/ l$ z0 r) Y+ n, O- F* p
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)% i3 h% c9 W- N2 f$ r3 G
set j
: O; v0 G6 {8 X+ Y7 S0 L' D( j + 1)
* Y6 }) M5 z9 M2 A( i: P]
' L& j6 W( v+ Z. Xlet k 3
; q/ `% v0 B `9 J6 Elet power 0
[3 |" r5 I) L# a' U J S5 U0 Blet local 0
+ r! z4 o8 M9 ywhile [k <[trade-record-one-len] of myself]% Z! f% s7 C* I# y9 ^# N
[6 t' X& V3 t7 V0 i( \0 K: P
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) h- L+ a: o2 ^2 M$ H0 a
set k (k + 1)
) H% o- p& A' Q) `" y: L9 U]9 B6 g/ B" ?, a' R; T5 A8 |) Q
set [local-reputation] of myself (local)
4 a; j% u8 W8 C* y! Eend4 w/ j( \& ^4 I% {0 L
3 y v2 B9 r% ?: Y* g4 r* C) ~9 }to update-neighbor-total1 J- g! C) M, _! Q3 [, k
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if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]* _" _+ K7 l$ u6 P
1 n5 k$ `+ o9 S
4 E( k: a$ y' _+ R+ Wend! [% F. M6 Y' A6 g, f
( K N5 `" y$ N( xto update-credibility-ijl ( ~& b$ w$ G8 ~$ Q3 w) P
# o o; n( b- l! F;;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。& R/ f$ R! o; F4 f0 x8 n, O/ u
let l 0, k5 R2 p- r" T. u6 ^
while[ l < people ]) |2 p- H& P( X" q2 S0 [8 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
! w' [" ]7 k9 P# G* F[3 w1 P+ Q* m, Y; e o+ [
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
( F& I' A) T: e# a4 Fif (trade-record-one-j-l-len > 3)
" U6 W& B, w" N3 L[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
3 v, q! o8 K5 q$ B% y/ h- {' Y; _$ ^5 Llet i 3
- d$ v6 n, ]' \9 w# B$ N1 }let sum-time 09 a8 ^) S4 I6 i; ? m4 G
while[i < trade-record-one-len]
0 m) N- b" K# O0 _( t[
' t% Q% a+ p7 i% A* C3 Z$ ?% T. w, Lset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )# I- {0 _' I* R V$ u) x. x
set i$ T `( ]. F6 |
( i + 1)# x) K* i3 r3 h0 S" A# I( v; A
]
' k6 f+ q0 y C, }let credibility-i-j-l 0
5 r+ g( [& f: ^;;i评价(j对jl的评价)
) E1 k0 R7 L, L% `% G+ L4 ]let j 3* X: D- j% K( x9 w3 D
let k 4
A) \4 w b; K* x' l7 twhile[j < trade-record-one-len]
+ r* _# f, h0 l! _8 Y[
+ W- v w- H- n2 bwhile [((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9 q* f$ C' A/ F& l# |
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)
9 v, A4 ~! p7 f F5 J* T0 Zset j# O* R( y) O6 K @* n# j
( j + 1); Y0 S) @: Q+ L9 Y" k. x8 U" T; g& k. z
]
4 f C' M7 W5 K7 i5 _- t" h9 s* oset [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 P8 H9 H8 e4 E5 F/ k7 J9 q) b3 D
: j( m2 v1 e+ k9 K! L& n" j
1 q- v( @: X3 o. B, y# n) y* zlet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
- S3 m4 E0 D! [3 D;;及时更新i对l的评价质量的评价
' m6 E* {4 G3 r ~7 W* I' g3 yset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]5 Q% W" n) f# z ~4 k
set l (l + 1)
/ I0 P) `/ Y- x3 I]7 @9 _! R* p0 W
end3 g% t: S. d) }5 U0 A
! e- V: x! M* @+ nto update-credibility-list3 n0 e( R) e3 @" x. G! [
let i 0/ E s, s* z G* T4 F7 a
while[i < people]3 Y( x, P9 s6 o" m
[
! r% W! }/ @* o4 llet j 0
/ s% B3 x! q3 @# Q9 r/ dlet note 05 c' X$ g3 ^9 j, w4 _$ s" w. M2 U5 T
let k 0% U9 w5 a% o5 X- E! K; I
;;计作出过评价的邻居节点的数目
) E$ v! u6 k( `7 ]while[j < people]4 W' A+ a0 i& q$ x3 X2 G. i
[# L5 j- h, ^; v6 c2 G
if (item j( [credibility] of turtle (i + 1)) != -1)# K; {7 B% q! T+ I! w& O% u9 V$ n, S* f
;;判断是否给本turtle的评价质量做出过评价的节点' ?% `" t* H% m
[set note (note + item j ([credibility]of turtle (i + 1)))5 l7 w9 b) h% |
;;*(exp (-(people - 2)))/(people - 2))]
% x1 ^# q" @; X) qset k (k + 1), u2 [5 ^% f" V
]
% ]. G4 ~' S9 U% f& x! X4 l% o7 ?set j (j + 1)! N- }2 d7 J, z, l% M5 o
]
9 ~2 }8 ~: L$ P2 |1 l) |set note (note *(exp (- (1 / k)))/ k)
/ O0 i+ s" B$ rset credibility-list (replace-item i credibility-list note)
. k+ P- V" j1 H- p' j4 n3 dset i (i + 1)8 p% b( H) J, T5 F, q, X
], G: T, B' y- }
end
: ~* s' D% [$ C4 r6 ]) P+ M! j" c) j1 ?; |# T) d
to update-global-reputation-list( B) _( I* \; R5 }
let j 0
6 W& {- K) E5 U& |while[j < people]9 q N! R2 J. w9 H7 z! V
[
1 C" B$ A: ^ T; F' x* Z" W" Qlet new 0
; a6 C& O" K# w, P;;暂存新的一个全局声誉6 g8 \) X% m/ A; e- v
let i 0
; `' u' A- ~( G; K: q5 l! _let sum-money 0
" E/ |6 O& X3 p8 Flet credibility-money 06 `9 |5 |& t- K$ }3 ?
while [i < people]
2 _( F* Y6 `9 H7 r1 N' y( \% ^[4 ~- X/ H. X* w% Q v
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))2 _. `1 a! M8 c
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))/ T. `0 b3 W% C5 _7 o7 \% c
set i (i + 1)
A7 y/ ]) `' D0 c+ H, l]
" t) X% U4 p0 t( U' l7 Qlet k 0
! C5 b+ N" d$ z4 c% o" c; f* |! Jlet new1 0
! n7 R; x: ^9 i7 | B: Mwhile [k < people]% Q+ b: c& E/ m" N3 l
[; \- k& v) p2 `6 `: k6 C9 t
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)
7 T7 j2 k" ^- gset k (k + 1), U0 W! K1 U ~% H* {
]
8 j6 d: r; D2 J; k0 o7 u( w" ^set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) . B+ L. D2 k" h. d
set global-reputation-list (replace-item j global-reputation-list new)
- |; ]; l! {( Wset j (j + 1), t& I0 [0 b+ t1 g
]1 z% t' @# F& x% ^3 q( ]
end" K2 H# z0 h5 H# R- o
2 v5 j& t2 r1 W" A( A/ i4 _5 [" B o- B% ~ D4 |6 e" b# p
+ z* c0 [; }/ S8 oto get-color. V9 k( p$ A c9 O e
: o# E0 e% F" \$ x, W4 J; F4 P
set color blue
i A& }& p6 ?; J H& l# J: Hend
& n. h" ^* ]* ?9 `7 n) S9 q9 c
* T% a- h8 [ Y8 cto poll-class
" x$ A5 e$ W$ [! ~end; T# m) L9 T. X# ~
* o. d' G7 }/ _ ]
to setup-plot13 E+ Y8 b. m5 n1 \/ [9 {0 L
, }9 c' o# b& n7 f7 q+ Aset-current-plot "Trends-of-Local-reputation"* k8 ~7 ^/ R% m' j% B$ P( C
; s" `' M" O9 A" }* @set-plot-x-range 0 xmax6 v- }! G/ M1 x$ ^4 B6 k
$ I6 C& e4 G" `' Oset-plot-y-range 0.0 ymax
, @* ?3 S) l1 s6 p7 [end) U1 T* \7 q: S& {, k" j0 l
7 Z1 R. x: p; c; r t: {/ G/ Yto setup-plot2
8 R7 M2 C1 z& z! `- }6 a* s6 Y1 q: y% B. @. j/ L8 \
set-current-plot "Trends-of-global-reputation"; Q* U8 x- w, K
/ E0 ?. [: [* T3 B3 N) d- B1 n9 q
set-plot-x-range 0 xmax4 Z+ G8 Y7 |4 T6 K; ^* B
; H# v6 l" X" U1 t7 }set-plot-y-range 0.0 ymax
" ?7 A6 N" x. S4 S2 Uend
5 E; J) B, ^1 W: }7 `* U# ~
6 ~ ~/ }* o' U! U7 y: nto setup-plot39 h* m+ i& [3 G ]. T% p: ~; ?
; X6 U/ Z8 v$ x& x+ n2 p' m. K# Iset-current-plot "Trends-of-credibility"
2 {) X0 |* y+ A9 ^ I3 o {# [* \9 q" S. G* W
set-plot-x-range 0 xmax) D3 I1 M; I0 @' ~; T
* z" R% ]8 d* R9 g3 [3 M/ pset-plot-y-range 0.0 ymax; X) `% }4 \: s% H( z
end
% l9 H2 e- b4 d: Q p) P3 O# P# b" r7 Y" i+ G5 p4 k' H
to do-plots( b, d ~9 _8 H- k- d8 j
set-current-plot "Trends-of-Local-reputation") Y+ p0 K8 E/ c) P2 ~
set-current-plot-pen "Honest service"
1 [2 {& C+ r2 H# [* send+ q: z% R- F( A5 `
) T3 `, Y0 Z3 e2 Q) g
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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