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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
* X6 q; c7 Z6 |globals[( f- L5 t: M: k' [8 |
xmax
: Z. ] Q: \% N# r- hymax
+ I! F& P/ @& m# @) S: X* _, Jglobal-reputation-list6 U" |7 g9 H3 I- `# n
9 i- p! b) F: x5 W;;每一个turtle的全局声誉都存在此LIST中
) J5 ~3 H# B# k7 O1 `credibility-list
! o: w) o/ v5 J;;每一个turtle的评价可信度
0 W2 [! e! }8 e' K2 }" Fhonest-service+ v( x& w+ A1 ^/ D' Q# h+ a
unhonest-service
- p) J5 t& i6 k" t0 d* |oscillation! B/ q2 ]' p, k* v( [ m* I+ d
rand-dynamic6 Y0 y- l N4 n/ O! l7 _& x
]
$ X1 M- K5 M6 ^8 T1 V( \ ?' c) D
turtles-own[0 ]0 ~* s) z) c9 [, `' D
trade-record-all
6 Z& g7 G9 o2 Y3 r;;a list of lists,由trade-record-one组成$ A8 k0 P4 W7 {2 {& a
trade-record-one, e: F7 y; D2 G0 }
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
" F: H. \; g, l% A o
) t# ~2 T7 \: b. J8 D: X$ R5 n5 B;;[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]]
" x4 J( R8 S# U/ J a3 F9 i/ ~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]# }2 l( \8 ^4 }4 N y6 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
9 y: m3 a$ \0 ~' r* J9 hneighbor-total. _' s8 g. O) }& j, e. b/ b. m# u
;;记录该turtle的邻居节点的数目
: }; U6 h1 i" [+ }1 H8 n5 z& F) Otrade-time
8 l# L$ H* l# Q: O# k( T; W;;当前发生交易的turtle的交易时间* d! N* i$ y7 _- g3 \* M1 E$ z( {
appraise-give
: h5 a* U) e# h+ @. f; m;;当前发生交易时给出的评价. R& i4 J; |8 w$ R( f0 n
appraise-receive# Z) f3 l! z# J# \0 T
;;当前发生交易时收到的评价7 J+ n# R% l8 O3 m0 B
appraise-time) o! G! R1 z+ a# W6 o+ `: r2 A
;;当前发生交易时的评价时间( S. D2 c j1 s! {' i. b6 f: i
local-reputation-now;;此次交易后相对于对方turtle的局部声誉
. v: L; z% [; i# ztrade-times-total. X g3 v) K- F# w2 a0 ]
;;与当前turtle的交易总次数5 g1 a: n/ F( m3 |2 R3 y
trade-money-total' ~& L! j( G4 A+ h* R& D
;;与当前turtle的交易总金额
9 l- V8 Z* E' c' y. X1 X8 Mlocal-reputation
) j' \% @3 Y- W. S" A3 Wglobal-reputation
6 {; x* j) k- S% T4 ucredibility
% a8 r5 i' Z9 A;;评价可信度,每次交易后都需要更新
4 d: V' W1 w7 i$ J& i Pcredibility-all5 E" K( u; S% w& }) X# r2 c4 F
;;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3 U: w6 h' x5 ?9 Z* f8 C5 r- R2 h
6 z. f$ g9 m! F% q1 I$ K
;;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0.59 h( e6 D+ Y9 S# v& Q
credibility-one
- G& A: L2 E) \& p0 M; y! P1 \;;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 }. s3 E" Y% `global-proportion
7 \! S3 `2 S- O* J! k9 C5 V. T& |customer
! `$ W B/ o3 H8 bcustomer-no7 Y+ K( n# Y' k% f: X1 W& Y
trust-ok1 D/ \1 V/ |3 t% x! g
trade-record-one-len;;trade-record-one的长度4 ?, Z; z. }9 d: E4 ^
]4 s& g; O z" D! d( b3 V
^) S# |; C+ C) c: r;;setup procedure0 a# J" Q0 B6 m" I4 q1 g
1 p5 T; Z+ L7 @. t8 H+ x- vto setup
% h& R1 @; s7 {& J
9 M! G! y6 N& g% z, `5 W; L5 \ca
% E3 g) [# x: k# v3 M: u G3 `+ F" f2 }* y
initialize-settings4 Z/ v" M: ]4 Q+ J+ p
- Q/ y" H) S9 o8 i, f" \2 n! ecrt people [setup-turtles]( J+ B# V5 R0 f9 F6 X/ Q
- j2 m3 t3 u; q' e) ]& N' q( ^6 t0 Y
reset-timer
! ]1 K) J" o9 s) I; G9 \: s* n5 h; Z0 D
poll-class
, P0 I- u7 Z z& U q6 }( \! _0 X
setup-plots
7 [( V; y; D* u9 r2 ]) f+ y6 @" P' O- u; h. y, g D
do-plots& n8 E* Z. B1 J# K
end
2 x1 X. ^' k+ F& Z( E Z7 E- L b' E
to initialize-settings/ g5 N, ~, U! c. |" m
]% O( [6 ^2 m3 k8 n' A; `" d% I6 L
set global-reputation-list []
4 k0 s! b9 K8 `/ U* s* J0 ^# y9 m
; c. U* b8 y2 J; y8 Bset credibility-list n-values people [0.5]
$ P5 X3 N# _' h9 f8 `% J+ a8 x+ q, v+ p9 ]
set honest-service 0% {3 m I) O! }; K+ ~
$ h2 s$ @0 T4 Z1 e7 }# i6 U
set unhonest-service 0
, _: e }* Y* ^
7 S8 F6 N" T* m" fset oscillation 0
2 \" n3 p' O5 F# |7 w6 H2 O! E/ ~( A/ u- h* {
set rand-dynamic 0, Q8 V% D7 J6 R
end
) x- O! B: }' f; u+ k( r
! F3 p* p9 l8 d) Tto setup-turtles 0 W# o' O2 s1 E$ e2 k! y2 ^+ K
set shape "person"+ V0 K2 |) ?/ x4 y
setxy random-xcor random-ycor
/ g7 l+ Z: |0 k- s& bset trade-record-one []5 h% d( O P V
& i/ F' i) m) ^3 r$ J: G1 z( V" b" Rset trade-record-all n-values people [(list (? + 1) 0 0)] 6 D0 t$ L7 u" o* P% [
+ z8 k0 ]" l9 S" p9 ?4 Aset trade-record-current []. b, [9 q O7 o& G$ T3 M
set credibility-receive []5 S1 n; N4 e. O. B$ G
set local-reputation 0.5/ p+ `) P: J; E% E3 x- `" P
set neighbor-total 0
, z% c. b# A+ U4 \& N1 `% kset trade-times-total 0; p/ n0 v6 o: f# R ^& ~
set trade-money-total 0
; j/ O( M0 R( }2 [set customer nobody
' }9 N; W0 G# Z1 u' h# pset credibility-all n-values people [creat-credibility]$ i: h4 a/ t) N# r; [% j
set credibility n-values people [-1]
, s4 G: M# ~8 X0 r8 }get-color
5 b& F7 H' T0 I, D& p* D0 k; a y6 t4 Z
end1 [ I* T0 b/ d8 ~. j
4 Y+ j: E: d) R* Y# |
to-report creat-credibility* S0 @3 l0 B7 r. `
report n-values people [0.5]% I. V, |1 [. U% b7 h) k
end
( w* [! I( o; z# V6 S$ j+ s! C5 V0 _% k6 E
to setup-plots' B: G$ C5 H3 r4 Z: f
) i. q" }5 z" y0 o5 J
set xmax 30; m( h J$ B0 P( O$ S+ U
2 q/ R. A0 Z, w
set ymax 1.0
# u% Z P; u6 S3 b h6 a# g0 V+ w" M
clear-all-plots, A& T+ P. k9 L9 H( r2 Z
- \: I9 ]: B5 }
setup-plot1 Y0 B/ \6 E5 z) J
! `2 [6 f8 X' p& @# s) K; t' osetup-plot2
: t" u c4 W" F
4 ?! k( R5 O* N( d6 A6 h. V2 xsetup-plot3. s, z6 ?% x# W" j# x: }
end! P; Z, [7 K% f' z0 N; x8 `
9 g F0 q# @& c- J2 [
;;run time procedures3 W% a' { E7 {) F
$ i' v; O! x6 e# q
to go
3 L% l. T; j' ^
! k8 ^$ m* P, d( ]$ Eask turtles [do-business]
r- D+ h) `0 _. i- v% T/ p7 a: fend
5 n+ Q; @$ @1 @" E+ t6 {. {* I$ }0 \: N) `+ i& v
to do-business 7 X* s8 Y: j$ Q' h+ t
' W% F" A7 Y$ N. F/ A5 w& {
& W8 |7 Q, ^5 L8 trt random 360
1 F$ ]7 ^8 | \" ], D3 J- l, l U! [( i+ x, W9 R
fd 1
9 u/ C/ Q& k1 e0 E; ^8 }. F- P' K
ifelse(other turtles-here != nobody)[+ `4 W N, {3 Y, y; r
. p$ A' f9 u, A8 |# a
set customer one-of other turtles-here
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% Z( U. k$ q i- s% y" s;; set [customer] of customer myself9 x) k& M/ m" C/ s7 x$ O
3 x# R; k2 u0 i
set [trade-record-one] of self item (([who] of customer) - 1)
) g) Y5 {4 ]7 J M% `- e[trade-record-all]of self
2 }" J) |; _8 b. `* G;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self# W0 f [! G5 {# A' i8 o
" e/ b4 C1 ], J. s
set [trade-record-one] of customer item (([who] of self) - 1)
& p/ U( w z6 n: G; W3 c[trade-record-all]of customer
3 F! a( r5 Z$ i6 F: F6 M4 x/ ^" p+ d5 U0 H& ^! S
set [trade-record-one-len] of self length [trade-record-one] of self
8 g4 u3 u: d5 K ]! Z: Z6 k4 J g/ y- G3 K
set trade-record-current( list (timer) (random money-upper-limit))
4 X# N( {+ N! o M9 {2 O1 W/ d' @& L9 c0 ]3 W+ q3 }; |/ l8 i0 u
ask self [do-trust]# S% b& X) d# p
;;先求i对j的信任度
9 U/ H5 E6 v$ I5 f1 Z
) }2 D% b0 [ U3 K; C) Hif ([trust-ok] of self)- C! C3 v- Q0 H7 n: S4 C& V
;;根据i对j的信任度来决定是否与j进行交易[% {! H, x! s" _) z, R
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself8 n- T- g+ }8 J, K# Q& d
9 ?9 ^- p u8 F, P2 h6 s9 C) a
[4 M( |* H4 n2 F! n- M
2 z1 |7 P p% e$ G1 f# ydo-trade
0 d& Z7 y0 k g5 P* ~, h
* G& W$ R5 X2 L4 T8 g" Y; Hupdate-credibility-ijl1 G. ^% n+ P9 [! D8 a) K
7 n% f( t4 m0 Y( ]- l" f- z1 Pupdate-credibility-list
' b+ p. u0 s; [, t ]9 Q! e. I& s. W b" w+ k
9 W1 K1 F% A1 |9 L+ @6 G* c$ s Y* qupdate-global-reputation-list, s( s; t: C3 r, T5 h5 }
( L: t7 Q+ K. A" a. H$ hpoll-class( V6 K' g- Y+ F
: h# Q$ t0 t5 Zget-color
8 g8 P# M( Q" P0 N
+ u7 i5 U; I9 S% K0 k o, V0 u- J' a]]
* O! T# @& Z1 E0 R* h: n9 K' m; n+ R; A; Y
;;如果所得的信任度满足条件,则进行交易7 t( `6 }& ], ?. [8 h
$ {2 N% I8 C; T8 u7 j \
[9 j; @& E* |6 B7 ?0 f
- f5 J* |9 P+ X( Grt random 360
( i/ L$ J7 w* A9 I* V$ c6 ~
: _: }5 M7 @: G% e4 ~fd 1, W) u* ?) O: N4 K
- ?9 u' X- N2 u6 l) d
]: X# p1 C2 L5 o( K. r2 C4 n
+ R" I3 g: B0 G g3 T' x: Yend
- g0 R; Q. g" a: D! w" T' G
% C, S9 U8 B7 J0 F5 T- B. oto do-trust , B& ]5 t ~. H' C0 I( w
set trust-ok False
: |" y1 J7 ?9 ?2 C* c& ]) ~
3 X# s4 f9 G% E) {1 Z# R: S
$ c" @8 d; V. b) S. v$ Mlet max-trade-times 0! ^+ Q5 c1 u ~6 o) T# @
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]- p9 _, t$ A4 ^* Z* g; Q" ?3 J
let max-trade-money 0
7 t; C9 b6 M3 G2 T5 i/ V% ]foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]7 i' x( i. G" P; |0 [0 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))
& J( U: a- k# p- u: v0 e$ D7 z( E2 G
; ]9 T: B0 f6 xget-global-proportion$ h6 _% e4 w; b9 s/ {5 A8 i
let trust-value
& k3 r. u2 C- ?3 P/ ^. J3 D. Dlocal-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 Z9 n6 Q/ l2 b9 e1 v+ n
if(trust-value > trade-trust-value)
4 {* W# s& ^/ w0 U& G. L7 `, T[set trust-ok true]! b+ B0 `, }/ X, ]/ ]( q
end
4 Z6 Y6 K3 j8 {! K1 Y/ ~; c D }: h! J4 j. ^5 p
to get-global-proportion3 u5 e. ]9 `: n; n% j6 D( U: P- Z8 }
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
3 t) Y$ j! C5 R[set global-proportion 0]: h+ Q2 \% T% g* ?/ S3 x, P* J4 `
[let i 02 g2 e' b$ l2 }. |+ Y
let sum-money 0
: s+ H; f7 l) n% ~; t; H4 t5 E6 @while[ i < people]6 A2 ~$ Q ~" Y- r
[$ x5 O5 K+ c9 g% r5 s
if( length (item i
/ P; I; J/ Z9 `" F# C4 L S[trade-record-all] of customer) > 3 )% P6 H4 `1 _. F ]7 h& p
[" C' q0 r0 Q) Y
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))" U- O/ v1 m V* U q/ U
]3 A' [$ o" x( I$ h1 }0 R; q/ n
]
7 d' t8 Q3 [1 G4 e) D! H% `let j 0
; g! p/ j! p7 c7 [8 hlet note 0& m% s% h. x* G' c |/ R+ a4 c
while[ j < people]$ u* h5 |/ {7 g2 q
[
; v$ n# G5 x3 a5 D1 Qif( length (item i
+ g9 w% Y3 c4 E z* ]2 h[trade-record-all] of customer) > 3 )) Z$ l7 g. G& m! C/ `
[9 T, L& R1 u; Q! w6 Q
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)9 T- f/ r# A2 M# x
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
3 S* q4 N" Z i0 ?5 s[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
& W* N+ W( a! T/ f: Y: c7 P. L: e]
% h0 Y7 H0 z! u# }- N]
! d- m8 x* ]+ hset global-proportion note3 J1 k m% R1 {! W
]
% ~7 J" ]0 f g7 ^$ g7 ]end/ U' K, U% f8 B' T
, ~0 l$ Q6 h- _# m# l$ s1 M
to do-trade* h' g$ \- E8 [* i
;;这个过程实际上是给双方作出评价的过程
8 E. ]5 \1 A4 ]/ Q8 P2 w$ ^5 |set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
9 H) W" L- v" p1 M+ ~set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价& ?1 ^; k( j$ V& m
set trade-record-current lput(timer) trade-record-current
# C. o' _' z( {( [/ x5 v4 n9 L;;评价时间
2 `9 I4 b3 ~2 u& @6 E) ?1 vask myself [9 T% H) h2 q* |6 p: X4 L4 ^/ h% _
update-local-reputation3 d3 ^4 L' Y9 `+ \0 g8 D7 m. `
set trade-record-current lput([local-reputation] of myself) trade-record-current
: C8 X/ i7 g3 Y7 {# G( m]
6 w% u4 z k: R( r! g- N6 q) r. Sset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
* t. c0 P* X) o4 `- A G4 W3 H;;将此次交易的记录加入到trade-record-one中
1 v, I2 j! y' ^, f" `( bset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
( D* n9 U" z2 v% p: ]; dlet note (item 2 trade-record-current )
6 I% Y$ a3 T* j! a* o* vset trade-record-current
: i1 C7 e5 {' c' U7 b! F# t4 Q$ |: Y(replace-item 2 trade-record-current (item 3 trade-record-current))# g0 H R5 U% i
set trade-record-current9 o( P! d7 R0 Q8 Z, m: {7 y
(replace-item 3 trade-record-current note)0 _+ s9 \. L$ M N: c. w( X
2 \% {9 j* l8 Y
, Q1 k" Y P3 L% U5 xask customer [. L, _1 C5 {" i& g* {: X3 {
update-local-reputation
# t7 A9 z8 M8 k) F; jset trade-record-current; T- v7 s" V0 u; d8 v- l6 Z) N
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) ( U' V6 C7 C7 x0 l
]
% m1 G7 p4 N5 O+ S) M3 D6 e: c0 n u0 O
* h9 l& s* T/ }set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
/ M' `; Q6 i5 A
) O" ^. `# K1 S$ J- Gset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))! h7 s. B) b( M
;;将此次交易的记录加入到customer的trade-record-all中
1 W* C' N' E' Jend
1 o" b4 C& k+ b2 F% w8 u0 \
5 Z0 n$ l$ o% M8 ^8 n) E8 I( Hto update-local-reputation k6 Z* n% R: A! \8 T3 A% Q% r
set [trade-record-one-len] of myself length [trade-record-one] of myself
% A9 h" p+ }8 V \4 I$ h/ m% | n6 l; e$ S! B( t- [- Q) c! }& I2 L
1 |7 h( y5 W6 R- K1 K6 t;;if [trade-record-one-len] of myself > 3 8 `/ h4 R$ |: k) U
update-neighbor-total. L7 Q6 a' m' M! P
;;更新邻居节点的数目,在此进行
! r5 `3 e! _* u% v. k% k Zlet i 3
: }! Y% |8 Q2 ]8 Y0 V- }let sum-time 08 k2 p8 a9 U) N7 o2 [; j
while[i < [trade-record-one-len] of myself]
$ O O4 @! I2 c* _6 o# N! o[
@4 i' m4 z( `# {* {set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
j* D/ y9 s9 c y: H- H6 O5 L. C' Vset i3 u0 V/ t# ]2 r
( i + 1)- i4 P7 }. [9 ]' ~; r
]8 M$ ?9 U- G8 Y4 Z" @" {# K
let j 3+ w! r5 o, W7 s; Y) D( D
let sum-money 0
' f( i" L9 A* vwhile[j < [trade-record-one-len] of myself]- f5 t1 ]1 w/ D' S' p! \
[
) i3 [3 Z' w9 T) c" j7 Qset 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' e: C6 q xset j% {- C& b8 {9 M1 A
( j + 1)+ L7 h @' X, `. A- g
]+ @! O: @# B8 c5 U6 B2 r
let k 3
2 G; |- R2 Q2 a% B: Jlet power 08 k' \' V: _' M- \; i, J! C y
let local 0
# ^# `. ^; W M) hwhile [k <[trade-record-one-len] of myself]
, O# A: V5 `0 {! w2 K# i[$ U2 {* i7 D0 `2 H) S, y. ~0 Q0 b
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)
! e( U" E7 ^$ G: V$ Q8 t1 I; Zset k (k + 1)
* }+ h( K d8 v3 H3 j, P. K]
+ N. J3 O; J6 W- k/ Y; i5 y7 c$ c6 ]set [local-reputation] of myself (local)4 U5 F& b2 [$ Q5 d" j& @
end
: Z9 Y3 j3 M" d& h5 C" p) A1 Q. d# t5 X1 o- S; q t. {$ j
to update-neighbor-total( T9 y, ] q! x9 f1 k) k
8 y! N% J, W* B
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]5 p. Y6 _1 A9 \4 Z
- x3 u' S7 B: Z
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end2 ^" C1 n p% J9 Q
+ E8 L: D. a1 \" ^4 X
to update-credibility-ijl
; i5 k& e, ]; p, {- I" i% h- O0 v4 |, {- b6 a# @ V
;;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。
4 o' ?, t2 |9 [: b& m; \$ @- glet l 04 x) t4 Z/ p' N$ r- n7 ^: i' q
while[ l < people ]
) W2 M+ h l1 y/ O' k* o;;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 Q" L9 F: Y( i# c
[
1 L) H+ Y2 K( Dlet trade-record-one-j-l-len length item l ([trade-record-all] of customer)6 { h3 R I3 Q( c# e5 p) c
if (trade-record-one-j-l-len > 3)
1 j& A+ D E7 r[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
- v$ L7 b& h4 T8 I# V6 q5 tlet i 32 \2 @: x6 M6 f2 M
let sum-time 0! A. d5 H. X/ q6 k L
while[i < trade-record-one-len]
+ q1 ~- |+ K8 t# B: S. a0 ]) j[
1 E) q1 j9 H6 x4 S' Aset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )3 w, }9 d. d0 M( p) \9 l
set i9 O$ t% w3 a+ H
( i + 1)
% C+ R# O& F# z# B]2 e) }1 A" e( I2 _
let credibility-i-j-l 0
2 d7 Y9 p7 O, l% H9 ]' M;;i评价(j对jl的评价)+ m. q, H$ O" d6 J& O- \6 }
let j 3) {/ w! F+ E1 i3 K" B" l
let k 4% V2 u* a6 r( Z
while[j < trade-record-one-len]
) E& ]% }6 n6 p2 ^/ s[
; A6 r* f( H, v) H6 \; n/ g8 Zwhile [((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 [9 H8 m' E2 H; v' Oset 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)
4 j* {$ H) b5 Y) q Vset j5 V# P& V8 h1 P- w+ F7 R0 H) @# q
( j + 1)$ f" o, r0 A- ?' t9 T% W3 N
]
* L# y6 s. n; F" W- q1 iset [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 ))9 U2 U9 n4 r: w
, t+ j; G0 h6 |$ h$ Y) R; K Z
) P1 ^' {! L# }& P- t7 J. xlet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
, Y4 W: b& H" W$ [1 d" I;;及时更新i对l的评价质量的评价
' x2 H! M7 S. O! _3 l$ m! W# [set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]5 u8 ?7 X: u: c5 v
set l (l + 1)
; j% I5 w# P" I1 }; }]
1 D% }- j+ d1 T. n0 Eend
4 w( M9 {" R2 x( x2 B! @1 G2 C( j/ H' ?! Q+ J1 w0 g
to update-credibility-list3 d$ c3 F) b& A
let i 0
2 `2 ~6 w$ W' Jwhile[i < people]
7 N" U9 j# G$ ]* {* P[
0 |: U2 y7 _4 p& C7 x" K/ g; r9 dlet j 0
" {/ \2 v+ r" U4 V2 Zlet note 07 ]% i9 K/ e' z) p1 {
let k 05 j! A6 W5 K3 y/ a0 j+ v, u, O
;;计作出过评价的邻居节点的数目
8 f& Z* `3 z( E: V) x. ^# bwhile[j < people]* n% h$ N5 N# l( U1 `" {/ ^2 k
[4 R* `: r# I6 m; \( j' L7 S/ h
if (item j( [credibility] of turtle (i + 1)) != -1)
+ \& G6 T+ M0 r- a1 b;;判断是否给本turtle的评价质量做出过评价的节点
& j1 b3 T! S* s/ ]: m) R! l% e[set note (note + item j ([credibility]of turtle (i + 1)))
5 n* O5 r7 T0 W;;*(exp (-(people - 2)))/(people - 2))]7 {. r# @; {* w7 Y
set k (k + 1)
8 ~) g4 |. c0 Y]# _ P0 a/ [4 o D8 d k
set j (j + 1)
: o* Q- o/ Z, C" V z! z]7 [2 k+ H+ [& h1 u- Q
set note (note *(exp (- (1 / k)))/ k)* n& l+ Y: n* N' O
set credibility-list (replace-item i credibility-list note)0 b% h' `' A1 q; I1 J# V# K5 z/ X' F/ g
set i (i + 1)
) J1 J, E+ D) B7 Y! X: w7 L$ x. T]
2 |; _- z# c8 n. |- i5 ~& C' _end; d5 q7 a) a& o/ i2 _9 H
4 u/ V1 k1 _ U6 l! {8 ^9 X
to update-global-reputation-list
) z* C* p+ l* Z- Rlet j 0% p: ^3 D9 R( ? x% r: M" U
while[j < people]% a. s1 J" n' c t, ^/ V
[
: f: K1 f/ `! a9 Vlet new 0
% S& ~" y* _' x( X+ M/ \( f;;暂存新的一个全局声誉" m$ I2 n/ Z' |; C$ a; k
let i 0& A; Z9 G* U! Y( c+ Z
let sum-money 0
( H$ t! g* I; mlet credibility-money 0& @8 y* z3 `2 H5 I p- P
while [i < people]
: z! @( Q& v9 C3 X2 k! ][3 N/ u( _9 I5 H. k
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))6 q3 t; U4 m+ F! I9 E& A4 a6 {9 l
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))( h. I9 G* T* N0 C, g4 C! J( D
set i (i + 1)
* |* o8 J8 _ a" R]
9 i, |' z4 p9 J2 ^let k 03 ^: z) g7 u5 _
let new1 0
/ b6 \. v& t1 _6 Mwhile [k < people]+ C. T$ ~/ k7 [" q. q; d1 O% s
[
( G% j( i: r8 T, e3 hset 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)5 g7 a: Y* c4 N4 R% l% O
set k (k + 1)) u+ R* i/ h+ B0 F, [& S
]4 X4 m6 H. l5 t* o: X/ c& W4 y
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) / {; D- Q- @/ O
set global-reputation-list (replace-item j global-reputation-list new)& b k3 @$ B' F2 ?- ?; n
set j (j + 1) O O3 g4 I- M3 b4 G
]6 e9 a! @& j8 K& w9 o1 i6 B
end6 f z+ W% d& g) I2 a8 [
+ u% Z, }& k+ b- G/ v8 N) z K/ S1 T2 h' h: y
, X! g. l1 G$ r( e4 z- eto get-color+ @8 n! h3 p9 z: J) \6 F5 ~" c
/ m6 j |) R- y! [) D5 Y
set color blue1 I2 C8 J- F1 s3 [% U, ], r: U
end) r4 |) r# M1 N+ I
) g9 I! U; X4 Mto poll-class
]/ D8 ^% e; ?2 p; c0 Y& ~end2 i6 @; S/ I6 ]4 Z; S4 k/ z
* G% m! U8 R# _* G
to setup-plot1
+ ~4 s7 ?/ U3 J8 ]5 k- w7 Q! q, k2 S" _$ T+ Y- c
set-current-plot "Trends-of-Local-reputation"* a# W0 {. t3 ^/ @
* k9 X8 S2 }# [3 {+ tset-plot-x-range 0 xmax
" t+ y5 V* C5 m. ?; z
j- Y+ p$ x& ? W& [set-plot-y-range 0.0 ymax, O, e }) d$ l/ `5 V! ~/ ~
end
7 i- i P! `- m, T0 U7 z# @1 s: b" c
to setup-plot2
' o% v! P! J# W. F- z7 e9 W) h$ ~- T$ F7 Y4 m& ?. I! {
set-current-plot "Trends-of-global-reputation"2 |8 a) E9 A: W! I5 U
: B" n! y7 A _5 q9 x$ [
set-plot-x-range 0 xmax
% t$ n$ D8 X; ^. ?- O9 j r! U4 c% Y* g- y: \
set-plot-y-range 0.0 ymax1 g+ a! w; ^; Y
end
+ @5 k9 y5 k# \! X% W" { X+ r. K/ z: y/ D( ?( q+ Y
to setup-plot3
_* R$ t! j; m2 O/ |$ C
2 I& [) n) p) g' D# h0 w- bset-current-plot "Trends-of-credibility"
G |# M$ M2 w; e% k& G7 z6 ]# i
set-plot-x-range 0 xmax
4 d$ ?: R$ L2 j" w. v% M# o! g; l3 L% P% L7 P4 M% c6 d
set-plot-y-range 0.0 ymax
, Y' |0 `- }# n: [. }" ~end% p4 P4 U1 t- f6 s. R- k, b: `7 y e
' z( i; O: l: o" J5 f' t! qto do-plots' k# w M0 `8 {: U) _& n
set-current-plot "Trends-of-Local-reputation": [3 X* g1 T& c' C1 ?
set-current-plot-pen "Honest service"& i% D L* s5 q( E
end
! O/ R% g& V- ]- X( ^0 u
. `4 b8 [9 m' [# K5 E[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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