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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
4 P0 D5 ^- l# b8 K/ q- r2 M7 _; [* Qglobals[
1 l4 T1 ?: t v+ x5 d* mxmax5 m- ~: h" r2 m
ymax
- V% s. j' q9 u ?global-reputation-list
0 S5 D7 |- m& j- k2 v/ s0 V5 A# C+ C N
;;每一个turtle的全局声誉都存在此LIST中5 R; p! n: V# ~7 R
credibility-list
1 u% e0 S% Z- ^0 r1 r5 c4 z0 P;;每一个turtle的评价可信度6 I5 k) r) |5 r( d9 J
honest-service. K( O; d( l3 W0 g- `" M
unhonest-service
7 C; E0 h9 Q( @' T. N: _/ I* zoscillation
, T4 w( Y7 [+ r- G) [4 `4 X5 t0 Wrand-dynamic Y/ E! v6 ]. {2 I+ J
]
$ }2 X3 h! i& N" Z
0 i$ O, w. p$ M( p- h1 L2 Eturtles-own[+ t j4 B. E' ^0 m1 _6 Q$ u
trade-record-all; `) ]2 A- ^. D Y
;;a list of lists,由trade-record-one组成) _( e3 `$ k; G3 V+ _) V D8 \
trade-record-one
4 ?" c' `* t/ N; U5 y9 X;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
8 [5 M4 o* k7 s3 z/ L! c$ O! R8 S$ T% p; `
;;[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]]4 p2 F1 x6 T* e
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]4 {! s) ^2 z. ]; U8 v% K
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list3 F& w# ^ o8 O- s1 t
neighbor-total
; R! l8 R! N8 k;;记录该turtle的邻居节点的数目" b/ e4 ]- T1 S& ~8 E+ [' a
trade-time" J2 |0 N! c( h2 S
;;当前发生交易的turtle的交易时间: b2 f! H; L) x
appraise-give
( |* X5 M3 Y2 b6 b;;当前发生交易时给出的评价+ k' A" r" i+ I
appraise-receive
4 r/ ?" E0 M3 o. i5 i;;当前发生交易时收到的评价" g/ B+ }- {: H W7 W5 n" Q
appraise-time$ f8 m% C" V2 x b1 R% h* s
;;当前发生交易时的评价时间$ Z9 V$ E" D m& R# j- r
local-reputation-now;;此次交易后相对于对方turtle的局部声誉. Z2 N' m: B" G1 e3 g8 x0 J
trade-times-total# u4 ~* p0 Y, T" E6 p
;;与当前turtle的交易总次数
. }: I7 C; F8 Y; M* V4 \/ ~" W' F5 utrade-money-total( U5 }9 o b( v* I
;;与当前turtle的交易总金额# I; d3 F: u3 q' B
local-reputation1 I I3 _( E( ~
global-reputation$ ^0 b3 v' r- L. t% ~ @
credibility( ~& W) ~0 z o
;;评价可信度,每次交易后都需要更新
, V4 C7 L7 v4 Jcredibility-all8 x& z- c8 J$ k% s6 w# k7 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1 V- }# ?4 o5 M
8 ^6 R- z: F- x X
;;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
& f5 d* w) f) N i2 l+ Hcredibility-one; M& ]7 g: p% N) B8 F, ^3 A
;;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
# z# x! @( f! \( Y$ a# @0 M bglobal-proportion
; h4 p) H/ e" Rcustomer Y: |5 H4 j, w" Z- O% n
customer-no7 O: F7 z" j" ?5 q# X6 c
trust-ok
) @; t' D' ^! v7 ?9 Z$ \ X( ^, rtrade-record-one-len;;trade-record-one的长度5 V) N! C/ m8 {% m
]6 N2 o0 i! E: \! p
0 L$ P g( ?8 R& r
;;setup procedure
' y! T. v% `& ?7 |. b
8 ^3 B0 s# v* m; N; v, ?to setup
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' X4 O, T. o; _: x0 Tca
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+ n! l( o4 s$ d2 x: ^0 ^+ |/ _initialize-settings% Z4 u& `$ k! |* Z
; n; V5 r l$ k* `0 c. y9 _crt people [setup-turtles]
# \, U% A. o9 V# r" Q- O2 f5 F
0 P( ?# F* B/ e% Yreset-timer$ L# z) ~5 U f6 Z1 c9 ^* {/ D
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poll-class
9 H; T9 X, F* f! H% b$ F
/ p A' Z( P+ U6 c/ p$ t! L; ~setup-plots: g0 {' ~7 E7 u; U, v9 n
, y6 i7 S& V0 u% Mdo-plots
4 P6 o# h" n" f$ Aend
1 ]% |0 ^ H4 _6 j1 w# W* u" z: F6 I4 g/ r% z
to initialize-settings& C, y- ?3 e& W m# c( ~% X
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set global-reputation-list []
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set credibility-list n-values people [0.5]7 Y0 o+ I0 E0 E* {# Y7 {
: j# G i, ]0 H
set honest-service 0
2 x, s4 L0 @- y5 Q. i0 I+ l5 }7 O4 [' i2 c% A7 i: g
set unhonest-service 06 u2 Q5 C5 r8 ]- w
/ b# }1 a0 f% [% j/ kset oscillation 0
& M) t, B$ \* b" U% {9 h3 u, I$ [7 ?3 D2 D
set rand-dynamic 0# c% m/ W l9 d; l$ N$ k |
end
' i7 }% a8 ~2 k& _3 B' v! r, Z
) O* Y9 D. u2 e# h* E) ]to setup-turtles + p/ Z: l) L5 f" M. j
set shape "person"
- [ q8 S6 W/ e9 O% b+ Lsetxy random-xcor random-ycor
" P4 m* K7 g$ F( \0 E) T7 Z0 ^set trade-record-one []
/ _ a, C6 [% m/ L# c2 m2 I; ] S
2 b* G# p9 S# z2 z) `, K2 N0 y @0 wset trade-record-all n-values people [(list (? + 1) 0 0)] $ T, O1 m% d3 K. S- C
7 p; m r0 f( Z$ T8 l" q
set trade-record-current []
, `2 ?3 @) p! Y, U, b6 qset credibility-receive []
% X- N9 S1 ~0 Q; @6 vset local-reputation 0.5
5 i8 `. w' e2 o( sset neighbor-total 03 ^4 m% b2 U+ P9 ]7 d
set trade-times-total 0& @* D3 s' R% v* c, O6 l
set trade-money-total 0
: I0 R4 k# h7 S- X2 a8 ]3 S! yset customer nobody
7 U2 o# X9 {" g3 ]( L/ Wset credibility-all n-values people [creat-credibility]; u5 k) X! F% ^
set credibility n-values people [-1]
% S- E# W4 U% _; M2 Oget-color
& Q) J8 M, w( Q6 O; j% o& V3 c4 h* r
$ ?# A1 B. S; o$ L: Tend% i4 M- W2 {, |9 r8 \( {( ~, c0 G
5 G2 R- ?% M: `8 p9 Z; kto-report creat-credibility
3 C1 @* ?3 w4 K& u7 Q7 R0 d1 treport n-values people [0.5]
?6 r6 i0 P, O) Q5 b6 k! mend
$ R+ W; w, t5 h3 R; {9 y+ k) l3 \9 x* d
to setup-plots
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set xmax 301 f9 S- h4 ^- k* }# r
1 [+ f5 I# Q9 I- t; rset ymax 1.03 V: }2 P9 S1 F% P
, y1 z3 c9 M/ f9 q
clear-all-plots% X+ s/ W6 x' }4 R
6 P& x* a+ j' q( Lsetup-plot14 C% c( R! C, G/ ^; i
4 z9 h' A! H) b$ O2 ~6 M+ b0 D: Gsetup-plot2 N0 }) h) U$ M2 q
7 S5 y' f6 J# l. f: Rsetup-plot3
8 W8 P! I4 z, [# p, G4 h; oend
6 a" e( [) N. l# x' u
% A, V8 z- x/ U. u7 |. n& \, _;;run time procedures
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to go
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ask turtles [do-business]" y, H6 |6 u7 `' K' `+ X; ?+ S3 p
end" `* J' z. u" P0 O# {
, o5 a! F. Q, T
to do-business
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. E# k$ k& D0 `
, R! |8 y5 ?8 |rt random 360
0 X9 ^, i. h K% ^
# L0 y* U! X; |% Q- \( i' Wfd 1
. i4 l9 @% Q6 |! y! N% }
$ d5 X1 z* j8 C6 n! qifelse(other turtles-here != nobody)[
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) U6 H/ e4 g; L. E- uset customer one-of other turtles-here
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;; set [customer] of customer myself" M6 G6 Q5 O6 w) f3 R. Y! v
5 D" F) U* ^4 C, Z6 `# V; o" r7 Eset [trade-record-one] of self item (([who] of customer) - 1)
0 m; K8 ~1 v) F& d[trade-record-all]of self
3 S- z/ T; ]% r1 V, o" U9 v;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
5 P7 X) _% I& I2 s3 O; j) y
- B; B9 e$ D3 ~$ ~* pset [trade-record-one] of customer item (([who] of self) - 1)( K' r) G( `& r" {0 X
[trade-record-all]of customer& j ]4 R# R ~/ J
9 h$ J; R2 B6 G: t- N& x5 E
set [trade-record-one-len] of self length [trade-record-one] of self8 u3 e( H5 S/ t# Y% v1 r
1 _0 |: Y) K' j. G7 W0 G Q
set trade-record-current( list (timer) (random money-upper-limit))9 r6 n( C+ k6 P# s _7 S5 {. H3 I, I
* l8 J2 y4 F; x7 P$ Q, s" R7 b
ask self [do-trust]
% u. ~0 A1 V: t- P;;先求i对j的信任度6 B9 q; A4 Y. x
- X- [; K* F1 a, t! ]
if ([trust-ok] of self)& B \8 |" g% u* t* L, B% z
;;根据i对j的信任度来决定是否与j进行交易[' f& W- U: A9 l7 l! e: T5 {! B
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself1 l' Y8 I% y6 t, U
" v0 Z/ O0 c" W6 y8 j+ V3 m. l[+ B) k$ \; a0 N) L& Q$ l5 R1 t7 @
, y6 k" L4 P, Q
do-trade J8 n. [# b) B$ L' ]8 Z3 a
) c% ^; Y( N& ~: _. W1 B
update-credibility-ijl6 @. z. n- g. b- w2 X- F
" N+ E# x8 l$ S' c9 M# Y- Q
update-credibility-list. b$ M. z% G" C8 R+ L0 M$ ~
' r! I$ H3 L8 \ n! R
% @5 ^, ?+ B6 x' Y' Q3 Cupdate-global-reputation-list, B; {7 w5 W4 o
/ w9 T: W+ }, F/ I3 o. `
poll-class
* G' ^( I$ ?; L% ]0 A* `% [* h# S4 A. @$ |
get-color7 z5 f' {" ^$ D8 s
o( C7 R3 @9 e/ |( k' X! o& N
]]
3 N( A. b' t' e3 n& b% O* M
4 f8 M/ d* Y$ y;;如果所得的信任度满足条件,则进行交易
9 m( ^, A4 V# a6 u& s: q" I, z. {# ?# j# S* r( x# |5 `* w
[
9 Z6 g) a6 g: D" ~8 i1 U6 K& z6 \/ a
rt random 360
3 A" m1 G/ ?( ]
; q7 w5 y. l( P3 {fd 14 v3 T3 w" H$ I% Q$ w; b0 p
9 s9 B6 e1 c, f# c: |]
0 d7 r( [! ?9 T# z, f
5 A9 D# r% ^; f6 Xend
8 _9 p2 d) u: u) ]
. y+ q- }/ g3 f& B. B" L( u5 `* cto do-trust : j: w3 K! F% K& i! f; j9 L
set trust-ok False
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$ J1 X3 Y- {; x4 [# x8 _) Q) y1 L& X
let max-trade-times 0
: C3 e/ _2 {1 h# D. z0 kforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
) Z5 C. t1 g8 N a7 o+ xlet max-trade-money 0
: u) N# L2 [: g k% \+ {foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
. y0 u6 B9 p. `let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))( Q' k) Q+ @8 x$ x, x
9 U! d: X9 ]! ]& D" k! X3 U
* D2 O/ O0 f* Eget-global-proportion
" O; ~& n% S7 Q1 n7 ^! [6 hlet trust-value
$ u; T& \$ h. O$ z& _: K* y9 a* plocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list): `: r+ _/ }! d) U: T
if(trust-value > trade-trust-value)* F9 A4 m# h5 u$ y
[set trust-ok true]; z1 F! C3 ^3 o
end
; q# `4 a" f9 I9 M3 K7 Y+ p& g2 O& G4 W) y K- r6 \! y
to get-global-proportion! b# Z. S: n5 R* B, `
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
$ G# H: a' ]8 k$ d[set global-proportion 0]
; t* x+ X$ q" u0 i[let i 0$ e& ^9 b$ @( C$ N' \* V
let sum-money 0
* |1 Q% d7 M5 _) _5 B. E5 Qwhile[ i < people]- t/ `/ T' z8 u' \( Y$ Q! p
[' v' T& y" b- Y" o' u2 \2 r
if( length (item i1 k- m% f. O% j, P+ C1 J: [
[trade-record-all] of customer) > 3 )
% Z- f+ P. g+ B* q[! p( w# {$ i, c
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
+ A$ Z0 D- s" u( []
) R( e9 U( x3 v) J5 n]% l/ i5 q) @2 n1 S h" z
let j 0
) T \4 e k, b3 ~+ jlet note 0, V N1 K& P( l! H4 h
while[ j < people]& A7 Y1 f3 H" w( r# ?
[
: s6 f* i: L( S0 X$ }if( length (item i
: o% U2 ]0 r, A9 D: y0 }& _[trade-record-all] of customer) > 3 )
! l7 v2 O& [/ `3 k[/ m& ?! O- L- Y1 z) q9 l
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)- A( g6 h% W! t( y
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
$ L1 ~$ p% {" F5 c2 B[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]$ A% ?5 ?4 F0 a7 p/ o
]5 I( ?3 u3 Q* _8 `* J- X5 r2 O
]
, R% q6 k( `- k# N$ t+ Lset global-proportion note% c( e! [) B) X$ K0 s
]6 X! C/ ^8 X, v. t) ?3 p
end
9 Q8 z8 _- E7 |1 X( U( N2 t, F0 n% i; u3 G4 k
to do-trade
0 ~; a1 E; a2 ?! V* };;这个过程实际上是给双方作出评价的过程
; V% h m! |1 } C. ~set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价; D# j7 O. W6 ?" K1 ~
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
4 C' V* e8 u0 i+ Y; aset trade-record-current lput(timer) trade-record-current
3 z6 A/ r* I- j0 @$ n;;评价时间: v) @( W' B0 `( q
ask myself [2 C6 x- D% {( g. b5 r/ r; T
update-local-reputation
6 E! H8 y2 e! {7 `: U% Xset trade-record-current lput([local-reputation] of myself) trade-record-current2 j! H* x- ]1 V0 G
]/ ~3 z( {+ g0 ^# q2 b
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
) t9 K/ |+ p; R- e;;将此次交易的记录加入到trade-record-one中
: c$ @1 K i3 Kset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself); s/ Q& q& \! o" c
let note (item 2 trade-record-current ), t( G' P: _; D F& s3 y
set trade-record-current
& o2 _; F; L& B(replace-item 2 trade-record-current (item 3 trade-record-current))1 H1 i& G9 W+ ]
set trade-record-current; n+ ^7 R$ k5 j- k1 h( q S
(replace-item 3 trade-record-current note)! n3 N6 F9 x" _( X% z- Y
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# K' f6 p9 t$ m9 }4 L. d! z
ask customer [
% e1 k0 l' F+ ^. nupdate-local-reputation
# T9 d2 o* [1 a5 k1 s6 D1 i: Nset trade-record-current, x- u0 X' H' D5 i4 k6 \4 G: k
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) l. E# G% A$ z
]% c% L& v( e/ C" y) R" c$ L
% D6 K9 `9 p8 n! Y+ U* X4 E
, h, U- U; [, t: g" ?set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
J: z8 F4 |! [# B
' k5 ?8 L' ^, a: C: Qset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
) `" Q, n9 ]- }" i1 P. X5 |;;将此次交易的记录加入到customer的trade-record-all中
/ g/ S" g2 X! Y9 @0 E, G, B: oend
* H& Z9 _' P9 [( p' ?. G
; o* v; K0 m8 @9 _to update-local-reputation) k1 X& g! B" z9 D# i8 J
set [trade-record-one-len] of myself length [trade-record-one] of myself& f) }# X \. ^; F2 {2 B
4 Y$ S. X' X( ^
6 ~+ y& _/ f4 Z. ?0 H& i;;if [trade-record-one-len] of myself > 3
" n' [+ s+ E' Z L f! L, Aupdate-neighbor-total
' |7 p4 m1 _ D2 V) n y6 a;;更新邻居节点的数目,在此进行
: e) P: G8 X: tlet i 3+ Y$ f. `/ G5 G: V
let sum-time 0 [+ m* ]# _9 g$ z% Z% H
while[i < [trade-record-one-len] of myself]! j. g, K3 \. M, k2 }9 f
[
1 k% ^: u" F: n( L$ ]set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )% A! [& @1 R" X* [" O
set i: f3 A& t% [8 D# k# _( m
( i + 1); c$ P8 `, R7 K" d
]3 y4 E1 C+ h/ ~9 ^* T: C; i$ q
let j 3+ s$ E8 J/ D+ `
let sum-money 0
1 u! E( \2 z+ |7 Z: s2 f# Nwhile[j < [trade-record-one-len] of myself]
8 h* |6 p/ \1 ?[5 `0 L6 A3 t: `" c% d
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)/ Q0 G8 f5 @+ T/ N5 a7 V5 \- {
set j
8 J+ r% W; B5 n. p4 G% p+ Z0 ~( j + 1)( t% T3 Q# S7 s B% [
]
2 m* R7 v: X3 E+ r# Q' llet k 37 c. s4 I# W' m4 c- p2 i4 W- W, ~: S& I
let power 0
/ b3 d7 D9 w& h1 @' Elet local 08 \8 ~8 T3 m9 ]2 S0 r
while [k <[trade-record-one-len] of myself]' ~* v/ Y/ J8 k: a9 M! f7 C
[; v( w5 k# |( k/ G" k0 V- y
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) 9 C8 o: U! B0 ?2 U$ o8 m
set k (k + 1)
M1 Y5 p2 I5 H% J/ W! m m] s5 S4 J# u a+ |0 V# L2 u
set [local-reputation] of myself (local)
+ `* y! o/ M& J) M5 Yend
+ a' r/ T. V% i6 s6 B8 o( Z* x/ T# m
to update-neighbor-total7 ]! i+ H0 i9 O( z7 w+ v1 ^
# Y0 U! Z( y7 B2 H' _, tif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]2 H% x/ l' X0 _& B9 A
0 N! O- n+ U9 A& w( S# O2 _ A
! F1 F4 M5 v2 m; b+ {end# A$ q! J+ G4 Z I
8 F7 ]* f% x5 M; o3 b7 L
to update-credibility-ijl 3 f2 w/ n2 N' d! E
+ l# {/ M: P! B4 F. u3 R; i) s
;;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。
$ h. T6 Y" Y4 B! e" c) Jlet l 06 n: I4 J0 V; Z Q" U m
while[ l < people ]4 W; Z) k4 ~2 h/ P9 a
;;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* |8 p, }) Y# y* A
[
- X- |, O1 V) w2 P& V8 U" Ylet trade-record-one-j-l-len length item l ([trade-record-all] of customer): w3 f% }+ S4 ~! U8 X4 `: ]
if (trade-record-one-j-l-len > 3)% N+ b4 n2 }! P6 s
[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-one4 d a6 A6 d7 l$ r! a: }6 h
let i 3* z7 m- O; g9 t' W' _- k- Y( R
let sum-time 0
" t4 e2 B+ H* T5 a' Lwhile[i < trade-record-one-len]
. M3 h. j E9 | t[' v- L3 n6 \; m \ G
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
' Z( g5 M& O2 M: L4 q# dset i
/ ^. Y2 B4 p' F8 s$ s: Z D( i + 1)! U% R0 ~& P9 v9 a" [
]
- X1 D! l' R) Jlet credibility-i-j-l 0
0 ^, T- N. D% q/ Y0 x. Q, d;;i评价(j对jl的评价) U& v/ f! _$ z# z3 B( ^
let j 3
: n% I1 i |$ R( k: F- U# e% wlet k 43 \; D S& p8 e
while[j < trade-record-one-len]
. @* q9 Y W1 n[, n- u3 d0 H g1 z& ~& k* H
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. R3 `" N$ ?; J1 C. 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)
0 Q0 `! M- {' m5 O+ G9 Yset j
a5 @$ a5 d4 u6 W9 h7 F( j + 1)
) @4 }' s) s) u9 ^8 a- l# J, H* E]
% H6 Z" G+ j0 s' hset [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 )); Q2 f$ ]* g; P9 a$ n
1 _# ~ Y7 f1 Z, D$ u4 l7 X9 |3 U# n; X% D$ O, ]" S
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
& i" O6 J: p( \, m" Y$ {;;及时更新i对l的评价质量的评价
0 X+ ~. {/ H) v+ Kset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
" ^5 O2 j0 e' [' \; vset l (l + 1)
+ Q3 k- C) u$ c7 V2 L* [% U]; f8 ?% K, ?4 R' d5 U/ R
end
p) o. H: I, ]3 k7 Y8 P4 B" f
to update-credibility-list
- G. K- p1 K k% Vlet i 0) F/ J, V# P5 `6 A2 C+ [2 W: Q
while[i < people]
1 T7 l# m' Q J$ ?- @7 Y" r[
, a* s7 j, R8 r4 `' Tlet j 0& u* T9 a; ?' W
let note 0
0 z5 {, d2 Y9 n6 K* D$ H) ?5 j# nlet k 0
" _/ C! s0 \! R! D9 D: ];;计作出过评价的邻居节点的数目+ }7 Z. N2 P2 C# W6 E# a3 H/ V- m
while[j < people]
) o# O9 K9 h, k }. |' d9 k% i) C k[
5 T# V/ I. c8 C* @! d8 Nif (item j( [credibility] of turtle (i + 1)) != -1)
) L3 F" T: H4 E, f* |, U. [2 t: `;;判断是否给本turtle的评价质量做出过评价的节点. q0 G& C9 R: w, s
[set note (note + item j ([credibility]of turtle (i + 1)))
- C/ [0 ]# e; O;;*(exp (-(people - 2)))/(people - 2))]
# j# s/ d# B2 X) [) Pset k (k + 1)
7 X4 o3 @! r& b( G$ e8 { k]
8 i- w8 W! C& X2 jset j (j + 1)
) Q6 o2 Z% g2 B], B* R6 f. r3 u. C# Q _0 U
set note (note *(exp (- (1 / k)))/ k)
. R2 O G5 c+ D. Yset credibility-list (replace-item i credibility-list note)
. u6 |" N" ~9 Z9 p/ qset i (i + 1)3 ?% ^. {, h- R s6 d2 n- p
]% I2 E, V; H7 |. k/ I2 q
end+ z S9 {' g( M3 O/ R U0 ?% H q
- b- Z9 X+ h. B3 X
to update-global-reputation-list* t! j3 p, n$ \) B
let j 0
* T9 v: H, T; v% y$ Wwhile[j < people]
: ^6 L! p7 J9 G2 h, R- l[
, w9 F$ E. w" xlet new 0
6 W8 @9 ^5 `6 Y' }" C/ d( f1 a V;;暂存新的一个全局声誉( _9 _, v1 c6 e0 f/ b6 O
let i 0) j6 o2 @$ g9 i7 H- }( F( F+ S' c
let sum-money 0
5 f5 k+ f# w( c: M% {: @; Slet credibility-money 0: G& @" t1 r( O
while [i < people]) E4 o6 ^- \4 h3 d; X. n
[
* s& o& I3 c5 _3 `set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
1 o& B; b9 ]# r7 xset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list)). T+ W- V M# \+ w- d' C
set i (i + 1)1 B, S% `& T2 G
]
# n2 M5 z, f7 K2 { P0 ~let k 03 J7 p! n( S! D- f1 ], _/ w
let new1 0
% }0 e7 ]) h# Y3 ?9 `while [k < people]
. w, G! h' h% s[( a9 ^) D. T+ b5 i/ K- u
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)6 u" H) e' ?6 P$ ~: }8 \
set k (k + 1)! Q, ?6 ~/ o/ g' J
]2 P1 A# J; ]: q+ v* @, |
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
4 d7 P0 g( x9 V0 k& F6 n- uset global-reputation-list (replace-item j global-reputation-list new)# [- o2 F. W$ r& e
set j (j + 1)% Q3 J2 W9 R# M: R) x% }' m$ r1 h* h9 M
]5 O \# q# a/ z
end7 D+ S& W6 `0 v7 J0 r0 ^" ~; l
/ C: K( L! q, A/ h
. r& ?$ U/ x* i) d" D! I8 n" W" N; A* `
, ~. }# X2 @- [to get-color- _, W: q! x" p( Y) A
) M$ n- M2 }# E2 I9 u
set color blue. S, A3 t9 ^3 ]- I* ~& K
end7 s+ l9 v) V: K# M
0 {5 H+ |& G: j; c& H g) ~to poll-class( P6 F4 T; z/ \ q
end
" @* ]7 L8 q: \' ?) p5 [6 r' ^
* W$ q& E% g4 h' l) Ato setup-plot15 Z: s, Y+ W5 u" p; B+ w. W
1 l3 `$ w2 M% z; I9 Yset-current-plot "Trends-of-Local-reputation"
2 G$ G- z7 ?4 Q$ ?
! J, `2 s1 S* A) v& }, z9 \set-plot-x-range 0 xmax
9 L2 Q. \: [" f
) V/ [5 X+ ?) `6 e! w Iset-plot-y-range 0.0 ymax& G& `- B0 i& C4 s: t2 Y0 M3 Z. M% M
end
. x$ Q$ g3 \% l2 B7 F8 E/ S/ W$ H s# o; a1 g! B! b
to setup-plot2- N" s$ m6 }5 J4 F3 D! }; G2 H
1 I! ]( d) N; o W, Q6 B% S/ ^
set-current-plot "Trends-of-global-reputation"
6 s, p# i/ z7 k+ O- C. _9 s p* D% M6 b' v% E6 }0 r d; r7 x* e9 ?
set-plot-x-range 0 xmax
{* J6 ^. I2 e, ?( Q3 V
8 _ c3 L- r: o! p0 P; Rset-plot-y-range 0.0 ymax3 l5 L3 o9 a: V* D$ k; }) J
end
# i$ T0 A: B( m3 G" Q, @! V0 l& T4 z+ F/ v3 }7 W. f
to setup-plot39 M* |1 r1 n# Q
+ y9 q Z5 }& w$ ?. y
set-current-plot "Trends-of-credibility"
& p6 v" a2 G& R7 f! f2 b7 m/ E3 L x
; c# f) t: M# L5 h, oset-plot-x-range 0 xmax
0 y: c! A: K2 o8 S2 \" ~# P5 E, b) t* V, w; t
set-plot-y-range 0.0 ymax
, z; [2 x$ D* O% g8 }end
1 J. [. q* x, `. [# X4 _0 t4 f6 p7 j' O- K- W' K4 d
to do-plots, W j( O# o, J- M
set-current-plot "Trends-of-Local-reputation" [9 U! |9 f8 ?) j
set-current-plot-pen "Honest service"( {% q$ c" e' u0 I3 s& Z
end
% p4 i! p- h# }; _" p! J! `) C
2 \' \" K- k( e% W[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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