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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9 @3 X" x' a- r$ A( i
globals[2 l, {( e2 G; r2 R# L1 O) J
xmax% z9 n% k* w6 E6 @9 b; J, |; y( }9 |
ymax
2 C$ b* L1 k1 R* m8 G' ^" j8 `1 M0 sglobal-reputation-list
+ o0 k" N4 P" N
$ f. U; o* ~6 u( E9 g;;每一个turtle的全局声誉都存在此LIST中% d1 ^1 k/ c, w) x" E1 g: }
credibility-list2 ?! Q+ n2 j3 ~2 g: M0 T, F- K
;;每一个turtle的评价可信度+ E2 d2 m9 e: j0 i* c" g
honest-service
4 o8 ?* `% ]9 S( Sunhonest-service
4 c x. e' K* y9 V+ Voscillation' N( R9 r- {/ t2 `
rand-dynamic
* }# t# Q e3 T: W% r6 U* e7 N]5 ^! ]% ]3 e- M$ C0 G4 z
" r) `8 S3 [% X p- a `! l
turtles-own[$ |+ e1 u- `3 A; _
trade-record-all6 v" u& y. K3 i) N! s
;;a list of lists,由trade-record-one组成
% v, q* J) K z. h: `trade-record-one! m' N$ B( S! G3 {; e. y5 u
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录, n1 r1 ?. F V$ m9 ~
1 ]1 B4 z ?9 \& k;;[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]]
: s4 X; e, N' F! I; t, Itrade-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]
( j/ Y2 s2 _- l5 E) F1 x8 e3 Ccredibility-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- I) U8 P2 d* i }# p
neighbor-total6 m; J2 J. ^4 D$ t! X
;;记录该turtle的邻居节点的数目
2 O+ x% F' _( K2 P! k# J- p1 Z- V1 b5 vtrade-time( _7 d, I7 W8 h7 C( A0 r
;;当前发生交易的turtle的交易时间& O: [+ t5 ^5 t* P
appraise-give* f1 Z" h* m! y' }# {7 o
;;当前发生交易时给出的评价$ V8 J) A. x& ]6 L
appraise-receive
) F" v' f5 d0 o2 o4 N;;当前发生交易时收到的评价
% b8 u9 j3 ~0 i+ M# xappraise-time
0 |) a& L* G7 z% f( ];;当前发生交易时的评价时间, \+ }. `$ j/ V' N0 G6 `
local-reputation-now;;此次交易后相对于对方turtle的局部声誉2 y# W* b+ t2 G7 v
trade-times-total
9 l/ X* C3 d9 r i& u;;与当前turtle的交易总次数. F7 @( J; r* N8 _- M4 s
trade-money-total1 B8 j5 p- ~4 }& H' B: x$ @
;;与当前turtle的交易总金额. v" S& F v% }+ X6 e9 u+ @% K
local-reputation' m, l" O. H* {. I+ E6 ^# G N
global-reputation
$ C. `* C6 T5 z0 ^9 q) Ncredibility
4 j+ a) i$ k$ T4 g- b;;评价可信度,每次交易后都需要更新 W4 a% _6 Y# Q: s
credibility-all+ a! M9 i0 q9 X3 e/ a3 r0 W4 j
;;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
" E2 v! I. U. i: ]+ l
9 I: Q$ D# ^* J T. j;;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 ]- d0 i' k9 u3 C3 i
credibility-one
. D1 J7 q Z* g1 Y% v/ N;;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
9 B3 Y e/ }, A9 k# [' hglobal-proportion
4 h; v% z8 b. x9 `customer3 B- M( _ h8 A$ ]: g
customer-no
- Z; f- T( ?' o( u8 vtrust-ok: ~- w* h! K5 {7 U; W* ~
trade-record-one-len;;trade-record-one的长度, I+ w0 s2 F4 A# A
]- \8 F# S! ]1 b9 b; O6 ]+ r/ a
2 p3 _( @1 K0 C4 V- z
;;setup procedure: G9 O. q* k0 X- J5 w
* y, v6 y: b. K: B, x$ w
to setup" k$ \8 Q- R9 s/ h. [- X) }8 f
6 ]+ M0 z! A Q7 x9 D7 F& J' l
ca
2 I% N: m6 R; ~( q# f3 F9 }3 u& S- R% b1 U. e- ?- N5 q
initialize-settings: V: O; ?, Q5 W3 y- I. e; p7 v, R
" _ m% \; t9 A/ y: g* f3 w: `! E
crt people [setup-turtles]. I+ b2 b1 a& j. G
1 c0 x( M. }6 H1 W/ O1 areset-timer7 x: M0 v$ S4 h; R3 O/ C, h0 d. }" d
8 w0 [$ {0 Y# {+ |) z
poll-class
0 B9 j* q' w1 l1 l- [0 C
0 s9 `! f F$ ~setup-plots: |# F! U- e- A# C
! o! L! Q( X5 M! }2 b) r! C2 m( p
do-plots* i8 p2 [/ M1 g
end; G. P7 N# ^ v
+ m3 D+ y2 h% o
to initialize-settings8 Z! b9 b" m8 g3 V
/ y3 {0 O7 r, c G6 k* p/ B. Wset global-reputation-list []% ^5 T# i( I4 e5 r& K% F! U0 b
& v, e6 |" k# _5 { ^
set credibility-list n-values people [0.5]
; O) f" A1 O' A( r6 ~" W, x
6 p" U, b7 ^, S/ V: C7 Iset honest-service 0
5 D- A( n8 |* w" D/ m: v0 K. F4 R7 S& A
set unhonest-service 0
1 }/ f5 ]9 S2 K5 L
6 b9 s! z5 l% d: l( N1 Q; R& z" S% t: ^set oscillation 0 h; k' K: G7 b% l! l4 ^
* j8 d: x- X9 O! a& N% X4 |set rand-dynamic 00 U* i2 M! I* s8 w) ~
end; ^: Z: b% V/ E/ `$ w1 e
' P0 K) E }8 I# {( xto setup-turtles
- k. f6 P4 E# E ?: ~3 n7 `set shape "person"! ?+ e6 W% j' ^2 Z \9 \1 O
setxy random-xcor random-ycor
. `7 D y0 C1 }- J) jset trade-record-one []9 w" x# y+ A+ V% K4 C
# ^- {( N2 }( I1 Q, i `$ a. zset trade-record-all n-values people [(list (? + 1) 0 0)]
! S( F- ^0 c# r* E, r9 N1 w$ y) ]+ J4 ?1 l' c
set trade-record-current []( O$ n1 I5 E/ j( N6 Y
set credibility-receive []# u1 U/ {" N, ]0 h
set local-reputation 0.5
) [& F* Y* i+ Z* i, Z/ `set neighbor-total 0% v u% S! R8 u
set trade-times-total 04 a7 k2 i4 ]. W: Q% G
set trade-money-total 0
8 @0 x X0 N/ l6 X( A Tset customer nobody( }( f2 N! o' s" [$ e: x6 F; R
set credibility-all n-values people [creat-credibility]5 q* H+ x- _( I7 m% A4 _/ ~- p
set credibility n-values people [-1]# \0 j6 h" U1 L3 A
get-color
# E0 j: H7 @0 P, f: E% p& b3 a3 s% c1 p* r' c# v3 `/ B0 _
end4 x" P. K) @% l, {, k% N3 s
9 ~1 t, ]9 E" j3 Dto-report creat-credibility
e- p* ]9 N6 S5 b8 jreport n-values people [0.5], g) m( n4 Q' m& I* x6 N& U
end: Q) g4 Z: P% @1 l4 E% m! X% B
. u* c- M" Z4 t; x: h ~
to setup-plots
/ b9 S9 {% x1 ~- p+ `4 H8 ]5 ^; z/ S; k9 ?" a
set xmax 30
: ?6 t) A9 K! }6 C
) h# T" K" [: y: eset ymax 1.0
! l4 ^ i" Y) c+ c1 Z1 S" P m% [! I" M7 r
clear-all-plots
+ Y& C7 P3 J8 ^' X8 a; R
/ C' _9 M1 h2 ]. n: r% dsetup-plot17 m% j/ _7 b6 W X/ P3 s! ^
r7 ]8 I+ E4 @5 N& k
setup-plot2
! H" _6 S2 }' Z- Z; a/ p6 [" F$ r9 @+ K
setup-plot32 U$ M3 y! D4 D# q+ T8 J
end
$ B1 U' I0 [) Y$ b q: e+ s3 C+ L4 b1 @" [' A3 S3 J* e, ~
;;run time procedures
5 v7 V& H: |( ~: Z H: Z' d6 D. X8 p. H0 i8 ^
to go
8 L; l' A+ g- U" B& B
( V) p: c) `3 q/ X% Fask turtles [do-business]
5 P: G% ]( s) |end9 Z) Q6 W- j& h: v `, V, l
( X, ?; l1 S* `" Oto do-business
s2 W$ n# K& s3 P! |7 k0 e
( v {' `! Z0 k$ k& g7 Z6 ]0 b0 I" L4 v) ]; Q) j: }4 [, ?5 a- o) t
rt random 360
8 W% I3 Z/ F. t' A4 n' q d9 S) `
0 x, d' W% U o6 Yfd 1) S. X- ], E' U7 E2 |6 w& l" t
+ t4 x4 S$ c6 l9 b: T7 B
ifelse(other turtles-here != nobody)[( B- O* [4 _8 |6 l. a( {9 }: y
" C: b- a$ n5 y5 F. `set customer one-of other turtles-here
0 L- E$ T4 F) B O" G$ [- b' D/ h+ x* }. x
;; set [customer] of customer myself
. W l- D$ j# c9 x
, a$ [, ~8 @6 I( Q8 Cset [trade-record-one] of self item (([who] of customer) - 1)
0 ]% `$ f. e+ F[trade-record-all]of self: K, P7 @* n% }' K9 Q t
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
1 F' e: f3 S. }7 l5 [( n; |7 S: s! A6 o. ^
set [trade-record-one] of customer item (([who] of self) - 1)
0 v" h! R/ B- R[trade-record-all]of customer# g0 d2 D( l* R6 R7 W B
" @! f; g V, z' ]) Hset [trade-record-one-len] of self length [trade-record-one] of self
, `3 g4 `, {- m9 Q
+ \- O1 X9 K9 T# |5 c3 S: yset trade-record-current( list (timer) (random money-upper-limit))
. b2 \, W; v8 Q, H9 o( P
- w: k4 _, p3 x- M! U/ mask self [do-trust]
0 D1 N' X% F5 b4 Q: X1 i3 [;;先求i对j的信任度- z. B+ |) ~* @+ s
+ v6 k$ N2 e4 n( Gif ([trust-ok] of self), f) B6 P5 W- p4 ~# i# n
;;根据i对j的信任度来决定是否与j进行交易[
8 K: U* |$ M; Yask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself$ s+ @0 z3 c/ Q& l5 ~# d! z
7 k: b# b! ?7 I% s) x6 D[6 K1 P* ]5 R+ T8 K! I" d; Y
# z) q! b2 Z) x, q
do-trade
) x- M- _; y/ D0 I( Y3 g! W) q( i! ^# {; v: @
update-credibility-ijl
j1 o! n0 {' D. u" n& J2 a* z' u8 A/ v
update-credibility-list
, c `6 C! ~# K3 H L L: D0 A% T
0 T! X5 f3 x- I2 b$ f' i5 l1 w4 }! f7 Y% A, g, Y: f9 \: o
update-global-reputation-list
) E8 |4 N! R9 k0 {; S% k1 [8 Y. Y; y% H: {" m8 r) k
poll-class, d- A' e8 u( z0 X
- ]0 v7 R! _$ r4 Y* Z0 K
get-color
5 x# G7 N( _" z ]
" a& u' O: v3 z, N: i; Z. z: q! Q! y5 Z]] O4 s% X! Q* I( C0 u! ?0 b
* m5 c- @4 I j
;;如果所得的信任度满足条件,则进行交易; ^; U4 N& T, M! ^0 N
4 u+ C! ]5 e3 l7 d/ B" D: a, m
[
) o5 ^& n7 A' K6 S8 c, t% g
7 V' Q' c+ d- Urt random 360
& Z; g* z8 Y, _' t) ]( j' \
0 z2 N- c/ K% C/ w9 pfd 1
9 V7 `. q9 n1 e( m7 T- I
' W6 z1 ~8 C8 c]
+ O% n, ^6 ]' P- ], N, ?, O, I8 x+ N7 q1 U
end. X! A y5 {, s+ ~$ Y
$ K7 a% H7 M* P1 ^( [to do-trust 3 m' l6 S. o2 l& T* E8 I, q
set trust-ok False
: {3 u: Q4 k. X; u% M- `+ u, E% I) [' ]8 ~
3 C+ y0 e; j& T' e+ ?; N: f1 X
let max-trade-times 03 o+ `' @5 }% \. M3 Q. k) q
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]0 e2 ^) z/ ?+ v0 p: O. S
let max-trade-money 0
# E* M4 w. K" R6 j9 Yforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]6 U- y5 G# |9 H
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))+ @: g( |" X% D; N+ N. m9 u! k2 U
; [9 b6 ? L# t/ W: o
3 \- `3 d0 `( m8 k* m7 X0 A: x5 f
get-global-proportion
0 ?( f2 f. A. H' M' r" n% Alet trust-value$ y8 Y; d3 ]& [, ?/ J; 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)
2 D3 U9 q' _1 b6 C) ?. o) y6 Eif(trust-value > trade-trust-value)
. p" t+ g$ z: e1 o* s[set trust-ok true]) u8 U& | k8 i* i
end
& m6 g% N' k% y4 i7 X/ ?. D% `
3 {3 [- H. s5 j/ [to get-global-proportion* s/ I4 g' e. t, F
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)* h3 m% U- B6 m- Y% |
[set global-proportion 0]) A; f6 ~# h& L9 H+ @$ n+ M
[let i 0
7 c$ ^/ |* \3 s* [5 R4 vlet sum-money 0
2 v7 {2 |2 ?4 ^7 Z" Qwhile[ i < people]3 j6 `4 x4 U& ]7 j9 H b0 b
[
, V- Y/ o* P) n- c, @+ Jif( length (item i
3 p* F# N9 X1 p& F4 d[trade-record-all] of customer) > 3 )
2 d5 H `' w. q% R& Q[
v. u$ S% m" k: c$ Nset sum-money (sum-money + item 2(item i [trade-record-all] of myself))- G0 ?! }* {8 t: Z4 m3 V; T% }
]1 z# ^$ M* l1 R. H' l% B) G
]5 g+ A& X% C" T% ~' ?- w
let j 0
- D/ L5 O& D* d" E# [let note 0
0 F: |6 [. [! R7 f. G; a# Xwhile[ j < people]
; Q) @; m0 M0 }: k) X) d, e[1 x$ g2 P5 d8 N5 z& r5 _ n
if( length (item i
6 ~6 B; y1 Z7 a1 i0 Y[trade-record-all] of customer) > 3 )
! m' l% X9 r+ t8 R7 y) Q6 u[+ C- `! X8 ]4 @% {( i
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
' r( W% `& ^4 @- f' m7 T8 G[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
( T& ]2 ]+ ^( e5 S[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]& \0 Q2 Z! L* j+ r. o
]+ \: u4 Y5 S; Z) A3 z
]
4 i r/ G3 a0 Jset global-proportion note5 y0 X. p8 G* _' T' @
]$ w. H7 A9 p; D
end
% t& A" x: L5 a. [0 ?9 T% b/ [* T3 |# ~9 q( i G( A p4 e% U
to do-trade
^) r- r; K7 u9 Z( R9 M! W: W;;这个过程实际上是给双方作出评价的过程
3 T) e- W% K6 h3 p- P4 X8 Kset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价 Y' B' S0 @8 ^8 X" {
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
6 I, B3 V. W" v& F$ S, Y: Dset trade-record-current lput(timer) trade-record-current- \: c- N" m O0 Z" I$ X
;;评价时间6 p" U4 B% t/ @% f# [" ~
ask myself [
. F) b; v) q$ w3 o8 D! {update-local-reputation
" ^8 N0 A+ @ h2 ^" gset trade-record-current lput([local-reputation] of myself) trade-record-current n- W) T3 f+ _: Q
]/ k! f7 s# t- H7 B) i$ D0 h5 |& Y
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself4 C% d2 \4 {" S* r, k: {
;;将此次交易的记录加入到trade-record-one中
, ^# B+ B% F8 fset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself), {2 a. w* y7 W. Y- a( P( m# t7 H
let note (item 2 trade-record-current )
( x5 z e T) u9 P4 xset trade-record-current3 m( m; ?4 p* |% s8 g/ r4 u9 M7 l
(replace-item 2 trade-record-current (item 3 trade-record-current))
6 R" I- M5 c; J$ C2 Hset trade-record-current, o& X2 m6 D" U. ?* F
(replace-item 3 trade-record-current note)
8 e! E: S9 H' e: l" H/ G; T! e. T& P. x, B
u5 \8 ?6 ^0 `7 q
ask customer [
( f( t" F, {( t+ vupdate-local-reputation% I7 o; p! Z8 U+ y: c
set trade-record-current
) | I/ u: C) P(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
! Q! r" m- j6 v. @* x: j3 D7 N]
# Y, k3 t7 F1 h i. Y- T) `3 Y, F' l5 G7 @8 [2 d; [) U
! R8 d, N: ~$ Z. X% C2 [2 W
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer1 E" Z' J# h+ z; q( Z1 Q# o- U& Y
$ G0 C/ F* O" _) T3 yset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
$ r3 y% ]6 D; {5 R;;将此次交易的记录加入到customer的trade-record-all中
" O) g1 Y, @1 m4 ] i3 w6 j$ ^end
# o$ ~! N. h* E+ C" ~2 ^' J, y$ _- y' O. i0 k- J
to update-local-reputation
' a' C7 S6 ~$ O& v( R E3 yset [trade-record-one-len] of myself length [trade-record-one] of myself9 ]( k' W8 d$ g+ k; U \
/ P; `2 n: q4 Y6 k7 F
T$ l' Q6 D0 W0 A# ~8 p) P- M;;if [trade-record-one-len] of myself > 3
8 N! P) h8 ~2 M- E" jupdate-neighbor-total9 S& ]! K1 ~ F7 `& }2 _
;;更新邻居节点的数目,在此进行0 g' P0 l& t! B5 |* h( Z
let i 3
* ? I2 ]( a8 M; @! f2 [let sum-time 0
9 p1 ?2 s$ @6 U4 Pwhile[i < [trade-record-one-len] of myself]
) p2 M3 {/ h$ t[$ U# ^0 l; Y* }2 `. U+ C4 X8 D6 d
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) ). I- H" b& P7 |' Z. M w
set i
8 t" Q, F3 C' U% u( i + 1)1 J! t' {/ g! y1 f5 [$ l6 L1 [/ R
]% Y" g% m. k! V6 B
let j 3
3 t) I* L) n$ ]# j0 p0 g- flet sum-money 0
3 p- G' b) c6 z3 Rwhile[j < [trade-record-one-len] of myself]
& _5 M0 V, S* o& n8 m9 Y[
9 ?+ e6 [( R" s. n8 V. S/ y1 hset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
* F; B! [0 k) q" v& Q0 qset j
7 g6 L4 ~0 D' B' {5 H! n( i, R/ t* W( j + 1), D/ n; u2 C8 H, { Y$ R
]
; j O. P# Q0 l, }1 `let k 33 ]% c' q2 A) J: ^3 S9 L+ W
let power 0$ {9 i6 e1 O h' S
let local 09 l2 T/ `( `; Z3 W5 r+ h
while [k <[trade-record-one-len] of myself]5 k; W/ {* T3 e
[
8 r* j- N2 O$ x/ r. W) A# Tset 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)
! I8 @/ e! f/ g) o1 O8 k' F3 |set k (k + 1)- M0 }0 D$ P5 l1 e4 }: f
]/ m4 F( Z, y' r/ H- ]' J
set [local-reputation] of myself (local)
* s; b5 }$ T5 p+ J& Uend& m$ ]" l2 U" l' Q( l/ t! o
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to update-neighbor-total
2 p6 J8 i/ Q( B4 |* i: x( x+ W9 l. G! l' F! G
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]6 r t" }6 k/ g4 h' b- M8 b/ m
, I5 r) U+ X, n& ~ Y9 o
( l5 }6 A# N( B4 `2 y
end S7 I8 h( u# E
- t9 A. m; Y" Zto update-credibility-ijl
! n- u0 o0 l, h7 _
3 Y2 H" \& J/ d: G;;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。# W9 M2 }+ f. X8 s8 h9 k
let l 06 M" y+ F$ G: v9 \8 E( m
while[ l < people ], E" A8 q6 e+ h4 R
;;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
9 ?* U) p4 D' A9 ]3 i[
/ e/ C1 m$ ? Y0 Tlet trade-record-one-j-l-len length item l ([trade-record-all] of customer)% P5 I, v: a6 Y: N
if (trade-record-one-j-l-len > 3)
2 w9 z* k: A2 c9 p[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-one7 g+ F6 Z9 T/ o9 _$ V; I
let i 39 d& A' Q! Y- U5 S* q
let sum-time 05 E# F2 |' C S- M& R6 X4 x
while[i < trade-record-one-len]
& Z9 L, _5 F$ E7 ?( Q5 t& W[
: H$ Y7 g5 k. f `set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
# a$ C7 R0 Y4 v7 e8 Z. S* Bset i7 q6 Y( U5 {$ k' {* A$ b0 \
( i + 1)# j2 _) a6 a/ C' F
]$ I' x% d& e; @* Y! d& e
let credibility-i-j-l 0" N& @* n$ p1 }+ }, @2 }* U# z
;;i评价(j对jl的评价); R# r9 ]3 v8 M: t& y0 B# x
let j 38 c' D) h- L' @
let k 45 m4 \% o, X( p/ @5 x8 `
while[j < trade-record-one-len] f% o$ v$ S7 M$ a' e' q1 R
[+ q, [& Q: b9 G' ]9 N
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* A9 n4 N ]6 H
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)+ S- h7 X4 \# }/ O+ c- I; A- \
set j2 m, t- n, o" I+ l" f
( j + 1)
* x' r# Z1 @3 W0 V! B]
! A4 o6 V7 ?" ~4 N1 Z, Pset [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 ))
$ ]1 k8 F) _/ D" |6 s! Z8 E g) T/ k
1 k$ Q) k% e1 ^& y' Ulet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))& a) `' O5 c% C7 e
;;及时更新i对l的评价质量的评价
$ W/ w" b4 Y& j! Zset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
- P7 S8 E) a/ w* x: \1 Y5 c! lset l (l + 1)% H) x. R! W k+ y2 v0 [; _
]1 j( y3 L! q/ \
end
- d/ u9 [" D* o* b2 Z1 E5 O7 T
5 k0 H( J7 g( xto update-credibility-list' F8 E: E! _( @6 H ~" N. \5 _* Z4 a
let i 0( C6 g2 \) D5 E t, {$ {
while[i < people]
9 O$ \2 K4 N( }, M* x[/ B' v) ~6 |$ Z6 @, q3 k
let j 0, f* B6 V+ W+ L! t: e
let note 00 ]3 q5 H* |- `# {/ h
let k 07 [3 M( V9 j& @5 M% i
;;计作出过评价的邻居节点的数目4 c' V! e2 Q: ~. g% e
while[j < people]
2 f* F+ U' Y6 k0 m1 o[) V% p3 U2 k @, s
if (item j( [credibility] of turtle (i + 1)) != -1)5 _+ W- h1 P5 d1 [
;;判断是否给本turtle的评价质量做出过评价的节点
. y, H" i; S" D5 v& v1 ] Z# \2 n[set note (note + item j ([credibility]of turtle (i + 1)))6 R" c7 {% y! m. d$ `
;;*(exp (-(people - 2)))/(people - 2))]
7 L: b0 u, z/ @! u( Wset k (k + 1)
L5 Y/ i( a' i% ~! X], c" |7 ^( o0 x }4 P( Q& N
set j (j + 1)
3 k, L1 @/ |1 N: P3 J# i' y/ P' Q]
6 z) @+ t+ u" ~) ?" A3 y/ e; Yset note (note *(exp (- (1 / k)))/ k)
0 Y' J! k: ^0 T. W# q* Q. W7 ]. z( Rset credibility-list (replace-item i credibility-list note)
' |6 s( [4 |# tset i (i + 1)1 g( {0 R0 }, z! W
], P% D" K9 }, D2 ]# p! g
end& q* h. g6 M8 b. |% h' a% s6 C3 x
2 h8 a( ?9 @6 U0 \8 E lto update-global-reputation-list$ @+ R0 Q; Q- r, p
let j 0
) t) s% f/ x! i( w, [while[j < people]7 c! x6 ]& l; c7 p* l
[8 p0 y, X* |8 V( v+ g
let new 0
* J0 y- K# i( W/ l! A6 K7 k;;暂存新的一个全局声誉* c6 n$ j4 a# y; u( T
let i 0" g5 U1 X& y# @; @/ a
let sum-money 0
5 A2 C _2 Q0 B& B( T) o$ clet credibility-money 0
, W. q. r7 r' e3 k4 N8 |) Y/ Qwhile [i < people]
( A+ r( l( }) b4 H# E7 q1 d$ E[
8 v3 P6 ~: j. Q, c5 |" Zset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))" g7 B* x$ f0 i
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
4 {7 W; S! E9 ?8 X8 a) Vset i (i + 1)
; W# @) n" b. Y! ]]* j# @! t0 \7 E- Q2 U5 i
let k 0! P2 q8 y& w; v3 j
let new1 04 C2 J; s& _5 G' \& o& {
while [k < people]" ~3 U2 t% `7 N1 M
[
5 G# G# H3 d( ]0 g, F) Dset 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)/ y, X+ ^0 ]' Y% Q
set k (k + 1)
& k6 I* [1 k5 R2 R% a]
$ _/ O, z4 Q: t+ T9 H; e6 Nset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) ' B) O8 H% g! P: B3 Y, L: Y" w" ^
set global-reputation-list (replace-item j global-reputation-list new)# C- i Z( t2 H* M' k, S% c
set j (j + 1)$ G# O& F! q( \, c
]- s/ E4 A" T: q7 \
end
) r: e9 d" B3 G. j) A4 I7 x, P* u/ @7 R# l$ ^: }# X \
* M# ]) g7 B0 |6 ]9 a. ^$ W$ w# E. ?
to get-color0 E! o! h' X9 X9 {
9 ^( X O4 Y7 l7 ?1 N8 `' qset color blue
, E* o! K3 v" P1 i% N( E5 Pend
5 D* ?1 d; D$ O& `( g
8 z; E$ W6 |- P# x6 tto poll-class
$ t$ e' ^; |1 u' nend
1 P% B# v, x! H) y) s9 |5 Q/ J; P. T
to setup-plot1; M2 z3 @: l7 z8 q$ P- E5 Z+ A
' H3 p1 L) h& A# |7 j u$ \, x
set-current-plot "Trends-of-Local-reputation"
4 O" O, l* U- g: h3 `/ k
* @) R7 r2 E' @! dset-plot-x-range 0 xmax3 s' T5 M( B O0 O* L
4 ^! F, e8 y- L! h4 u( p" ?
set-plot-y-range 0.0 ymax
; c8 i4 z( W; j8 R7 F# dend
& Q+ x: i9 K2 K4 J1 m. H( x& G; z9 [$ ~" N# r6 B+ b6 J
to setup-plot2% _+ a+ z" {7 C% y& D
% k9 n5 T4 k# l; b
set-current-plot "Trends-of-global-reputation"
$ H1 r/ N' |& C! W' s* T: C8 T" k. ?$ F3 f) ~. j6 K' R; H
set-plot-x-range 0 xmax/ S5 B) ~5 q& w$ o5 F
* E- R+ a* K5 F. o4 ]- d9 g; \
set-plot-y-range 0.0 ymax" C( ~3 ] O D; Y" K0 z; `
end
5 D0 K; I" a* `. P ?- `9 a, |' d6 s3 ?; o! F5 X& ~$ ~1 Q, b3 [. j
to setup-plot3
, d. _/ X* m9 W5 S7 b$ A2 A- v8 B/ C, [
set-current-plot "Trends-of-credibility"" D! A$ s9 r/ p. z/ W
# I9 l" a" _/ C0 [
set-plot-x-range 0 xmax2 E' I( U0 ^/ m9 n8 \( M) h- T
( c. ] o5 U" r% E. Mset-plot-y-range 0.0 ymax
( q% x' A4 o- o8 Y1 Send0 d: p4 |' B+ f/ l
6 @1 K2 C3 n; O) b' m# Uto do-plots
. D2 K; a$ [3 ^1 ~set-current-plot "Trends-of-Local-reputation"; Q, h% Z4 t; n3 w9 C% L1 P9 Y" ]
set-current-plot-pen "Honest service"% g- W' w: E: N; s7 w. b
end$ v# M; ]" x6 {+ i. J
0 l g' H& M+ {
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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