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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
! k9 _7 d R$ j9 X9 z2 ^% Qglobals[5 }- A K: M( @: V
xmax+ `3 y, V& @8 E8 z: s5 ^/ p; g
ymax7 R! x) [" ?& A$ d- d
global-reputation-list
" H% F$ h: d9 m4 O( i) Y# Q0 |' e+ D! @) S" I/ D- i4 j
;;每一个turtle的全局声誉都存在此LIST中, O3 K+ B, t. K, j1 T/ d4 j* y
credibility-list
6 h8 Q0 X& p' _" v& C;;每一个turtle的评价可信度9 I/ W% O4 z( b! h- w9 u
honest-service5 H( Z7 m, z: v$ `! ~$ X; H) I+ u
unhonest-service& k4 U/ a1 @% r/ `
oscillation. Q# t9 [ h$ P& V* h. i% S6 V$ ~) Q5 Q, u
rand-dynamic
. r' U d7 R: C+ ^/ d( p]2 P1 `+ q2 ~. y. J( S7 J, \/ f
" x! S+ U8 D1 ~" a) P4 kturtles-own[
+ R- R/ C7 w+ g' V# Itrade-record-all# x& K* G) |- P+ L- u5 D, x$ H% D7 D
;;a list of lists,由trade-record-one组成# D" L0 I8 g* v( Z" |- I
trade-record-one M# }& a( f4 U% D8 p
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
! B3 I6 P5 l; H' i; U, r; P1 e( {* K+ G$ N- 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]]$ z" m% c# I5 k) R
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]
% M- V5 J; m* J) Q, _$ H+ Ucredibility-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
7 {& [3 ^3 z& P7 p, n- Gneighbor-total
, x+ K: ^3 F. W: V# E. W4 N4 @;;记录该turtle的邻居节点的数目
6 h) I0 Z: w3 b# ztrade-time Z/ ^ ^; M+ h: Z: P, U& d h
;;当前发生交易的turtle的交易时间# y! `0 P2 b# u& s r
appraise-give
; q0 D/ X: e' @ M: |8 {1 e" ~* U;;当前发生交易时给出的评价/ s) ?9 J, R2 _# o6 ~3 l
appraise-receive- N5 v u, I9 G; H
;;当前发生交易时收到的评价) v$ L w5 F' G0 G* ~8 w2 U/ c
appraise-time! P+ i4 N3 ^" Q. Z5 h; v" V, o3 N
;;当前发生交易时的评价时间9 q$ o3 R1 J$ g4 d/ ^2 c
local-reputation-now;;此次交易后相对于对方turtle的局部声誉9 ?" a% ~- Y$ p- S
trade-times-total x) G; `' Y/ m: |
;;与当前turtle的交易总次数
1 r5 N; \) f" u; O5 c8 I, u" @* Gtrade-money-total H3 b6 F5 b4 w; R7 L% f Z! r
;;与当前turtle的交易总金额
/ {3 l! b4 u1 Q! Hlocal-reputation+ Y) z- V: I0 d) w& ^7 m' C
global-reputation& t. i4 L/ i" G* _8 S
credibility0 q9 E5 A; T/ L: p9 M0 n: P
;;评价可信度,每次交易后都需要更新
2 E6 ?9 ?. Q3 p! R9 } s3 ycredibility-all
" P& P. c; c4 {: R" N;;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& G/ ?" m3 m$ {
( j7 w- i. \3 ^# P4 F
;;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0.50 T Y7 k- u) N5 `
credibility-one, n6 l3 t: U0 Q+ A- m
;;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
L! \- ~( c' e1 _' U+ w/ kglobal-proportion4 G% \2 \+ P# w
customer
1 v- ?( b! M1 @( \customer-no6 i# {' L3 ~1 a' v! B
trust-ok
; |- Z6 f6 _ I$ y) ytrade-record-one-len;;trade-record-one的长度
' e. T% [, `# j5 ~( G5 F! M]& Z- F3 p, G: L8 q
& j# V0 ?3 R" A0 G& F" G, w
;;setup procedure
3 p# t! q! D; n# D" g% B! n8 S3 x
3 }) M) q4 M1 w! Vto setup
! l( r3 W4 A7 S! w( v- O( R* J1 a# T
ca! K4 ]# v; J3 R/ |7 ?3 ]3 u
2 a8 f0 r* X; U" W$ b$ F
initialize-settings# \; m% P$ o ]
/ U; P% P& I* b. A+ D$ g q! C& a
crt people [setup-turtles]* ?7 d+ m+ m- ^5 z. K' Q
( m* u7 ?* W0 K2 K. Y0 d: C/ Creset-timer
/ k2 o5 R. b2 t( Q5 i3 P7 R/ f3 P! W3 D5 k3 ^9 |+ u% R/ F
poll-class
: v. V' F5 l/ f$ T/ V! ]3 Q6 y* I/ i" m
setup-plots
/ i' T7 a5 D1 R5 x4 I) G7 f3 r8 O3 B4 E5 s8 x; m$ S/ h2 r
do-plots
+ D5 s; C. I9 R6 L6 Q4 Mend+ M% @0 Q% i7 ^3 s* p
/ ]$ }8 c, L9 h% P5 ?" q% [
to initialize-settings
3 G2 ?9 m9 Q; G' J3 _) q& A" m
3 d) j8 G* T9 v7 F2 ?' fset global-reputation-list []
. h. S- l7 I) ~4 r
a6 |% P5 w- d3 f! G1 mset credibility-list n-values people [0.5]
3 G& f+ p5 \( E2 D W+ K: b7 n" X" C
set honest-service 0
0 g- g& ^* h! n3 m1 O6 Z& O) B6 H/ ^. b
set unhonest-service 06 ^7 Z1 B& _& Y/ H$ B7 {
0 u' C' V! \4 P2 U
set oscillation 0
7 D/ `2 {* S( u! _) z
2 Y- F% K' V6 Y: Oset rand-dynamic 0/ \& n5 J8 L1 J$ O
end
6 {( v3 w. A* _8 s8 n/ t- t
6 f" y& C3 A. R8 A% G, Sto setup-turtles
) C8 c( J" T8 o$ Nset shape "person"; }: \) c+ t& }, b
setxy random-xcor random-ycor
/ l' G& [. t: {9 T( W. H! Rset trade-record-one []
; e1 i: B- s) Y3 n; ~$ O+ d! m* N9 ]' X
set trade-record-all n-values people [(list (? + 1) 0 0)] 6 r( V" z0 `* }' o1 m
! @3 M$ A8 K+ p' u
set trade-record-current []" J" p. q2 b' ]" z: K3 P
set credibility-receive []
7 n: r( b% E/ N5 y8 _set local-reputation 0.5& Y. l! m5 X; u9 {1 A i/ z
set neighbor-total 0
! ]4 O3 ~5 a3 Y5 ~* o; [: Oset trade-times-total 0! t+ l* T/ V" B8 P. m- O9 v8 g4 I5 C
set trade-money-total 0
/ t0 F* K$ J0 C# B) n' Tset customer nobody
7 `8 m8 L' A d; N4 @6 c5 h8 f% kset credibility-all n-values people [creat-credibility], o( Z( V }9 B P
set credibility n-values people [-1]
5 q, }, A3 w# ~% D+ e7 [get-color
5 {: r4 g1 J2 {, b# g
- t; t: c% G- C+ J: W8 wend
5 B: J1 y, H1 h1 P% Z6 ?& x: n$ J1 v- o
to-report creat-credibility* t0 c, P+ s b& D
report n-values people [0.5]+ l; m2 ^! P: h* L+ j' V1 u
end; n6 o3 u" t) z8 ]
) i ~ {9 y. Q+ V; `* h( O8 `- ?( @
to setup-plots, c% P0 h& x. r+ b4 h. ]5 P1 g
% C0 e/ R0 M2 gset xmax 30
( m i1 m9 e; c
1 i/ n# A* ^5 z' O$ @1 H: iset ymax 1.0
, k# t7 g) C5 Z* k+ ^
6 I0 z" [' Y2 F( k3 R: x8 Pclear-all-plots
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setup-plot1
2 o* p7 x0 r" u) a; o' i+ }0 w9 s6 I1 A" ^: o4 Y
setup-plot25 d- g1 [, Q5 Z0 ]) i5 K' \8 G+ S7 H
9 x1 _4 \$ B# r. ^- p: msetup-plot3
1 Z ?5 K0 S! mend5 }, x- d0 A/ J( Q- {
' ^0 |# U' J" f' Y;;run time procedures) y3 n) S' e* v9 S1 `. C7 i1 j$ Y
1 L3 i+ `5 T) X- Yto go& F. R0 W& z5 d1 P6 p8 q: p$ w# h
6 B4 Y8 s9 {, U% K [3 X- qask turtles [do-business]: [) s6 ^+ M( W* y
end! n( P G& V: N+ ?5 N8 ]
* G8 \2 t8 d4 \: ?
to do-business
) g' N( P# r$ m7 ?) j+ M8 ^
8 U& u& K# [# _7 u) T1 s6 S
5 J# v- x4 G/ K& W7 P7 U& Nrt random 360% O4 C8 g g( R: a
& r) f1 M, K4 q4 @4 kfd 1# r) i" w! s, H! L9 o* D( Z
( m9 V8 `: g- O2 ~6 |8 O8 ]ifelse(other turtles-here != nobody)[
5 h- D7 F5 @* n8 ~; K
# E, C4 s* k- w3 ^6 K8 g+ [- I5 _* Mset customer one-of other turtles-here( x% D( x# @% W4 w$ m0 F
, g% e, @8 x( L( e( L) C! c y
;; set [customer] of customer myself2 L% E# i% s/ l x5 E2 E3 R$ l- ? x
5 Q2 |+ ?( f& bset [trade-record-one] of self item (([who] of customer) - 1)' D( o6 F8 n8 z
[trade-record-all]of self# _0 v3 k9 c; G; n5 A6 L! a
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
0 _) ]5 C. R6 l, U
4 I: b0 {6 G8 R9 h) Aset [trade-record-one] of customer item (([who] of self) - 1)% w0 Q& S$ u/ N. `/ w( s7 f7 [: g
[trade-record-all]of customer
7 D3 v7 B& H, u3 y' m% G4 }- Y4 Q- x8 Y/ a* [" \) @
set [trade-record-one-len] of self length [trade-record-one] of self
2 r( H9 \ V9 _2 B+ Y7 w/ Y, W" `0 @3 L
set trade-record-current( list (timer) (random money-upper-limit))$ E+ _) Y6 m/ {8 |( B
( I- L9 ?0 o2 w* I6 p" w: r) X
ask self [do-trust]
+ S8 a" c2 ?1 r7 A: L1 c;;先求i对j的信任度
# T$ n U' y$ C }0 k4 y6 @
/ ]" z& _# P" Nif ([trust-ok] of self)9 B+ Q: G. _3 u+ u+ D: K
;;根据i对j的信任度来决定是否与j进行交易[
; P Z( e4 ?9 nask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
+ t# C) V1 {( I% u+ t# l
. |" ~& k9 ~! { T. Z# P3 L[
- X7 s) X& { t+ |+ N9 z9 k
5 V( r# A0 l: \0 ], f( ~0 `do-trade
, q# o( H, X5 Y5 N# g3 l% t
" F3 Q3 `# t8 a, g, _/ l2 R- Aupdate-credibility-ijl0 O% W# O% M" G( e+ ^6 K8 y y
4 a0 t0 K! E. ^- B7 {9 gupdate-credibility-list$ X1 ~& u' t$ f4 e, M, z
Y2 f/ u" f7 M3 C* n$ r4 C
! i( D! E c7 c- y" F1 aupdate-global-reputation-list' g* V, ^1 Q R
, ?/ k- b! C3 ?4 N" w1 u) b
poll-class4 u+ H* Q3 m& g: I2 A M2 z4 Z
/ k& T& G) E1 d' H+ m) p4 `
get-color% j+ f' U9 [1 [$ V8 C
7 a- i+ n: s) ^+ v2 m9 V$ t+ @]]
0 A2 i7 @& Q6 i3 f& G* j/ \) L3 c+ f( z, C9 Q' W
;;如果所得的信任度满足条件,则进行交易5 [! U8 L# Z# \ U
7 R! _( n+ u6 p: J[
q/ M+ i0 s0 S4 t
+ a. [' z; M0 f3 s' H) ~1 Qrt random 360$ s. i1 b8 O+ G6 \4 Q; H: Z
6 r, K9 Q! D( T; x. \7 T
fd 1/ F5 C8 m+ d2 [2 e- [ h& P* ]
3 B9 d. }* u0 A# K' V& P2 a' x]
5 v* I8 j0 ?% |& v( P" Z& x u& j, U A5 t' M; K3 r5 P
end3 M( b1 M; q( N
! O j. C+ a0 d+ J1 u, p
to do-trust
" l, ?8 Z6 Q% d0 B3 u: r: lset trust-ok False& {/ B5 u) d& q
+ H7 H* z* z& A0 M, Q5 x5 ~) J1 Z
8 @* p0 n( \7 S7 {! l: b2 q' llet max-trade-times 05 w5 D3 Y4 C! j" J$ ?' j9 B5 {
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
7 w$ K$ S$ ?4 _let max-trade-money 0' c Q/ {) t* l/ U% ]
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
6 l, r; n$ R3 ^- K. f8 d9 klet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))8 V2 z" Z, {, z. D) ]0 o) I
+ m$ T; L3 [, {, o% m% u5 ^. u- [/ C; H8 f4 k: ~& k! ? S
get-global-proportion1 T" x; C+ ]$ e7 Y( |, Y3 _ h
let trust-value
" ~ Z6 w* T7 x4 alocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
$ f. f l6 r1 f* V% F+ H+ tif(trust-value > trade-trust-value)- V+ R i) w' \
[set trust-ok true]
" q4 v5 j+ `& V% N3 @end# _, Q" S. w! O" G, `: N: `% G
8 ~% ?& z2 L* K; Jto get-global-proportion
5 W6 {$ _, `& |9 [$ f0 I* |: p# O8 s$ W9 \ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)) B/ G4 f# Y) w
[set global-proportion 0] j% U2 Q3 U( ]. T6 R
[let i 0; p: I5 f& _. ?, ^- N
let sum-money 0
) D) z0 T! V, D+ O6 Fwhile[ i < people]" F, b$ z; {' ~9 W1 ~
[. h: U, [% }" ^
if( length (item i! }/ `. v* |0 @( h
[trade-record-all] of customer) > 3 )
+ X- L8 N8 ~; h# [2 f[
/ l. {! L2 t Kset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
* o0 u% t! p5 d+ t5 t]
3 x% O4 ]5 ]- S]
* G% A2 e1 F8 a& Q" @- plet j 0% x% W% a1 l# u" [3 S7 H# J; y0 c/ R
let note 0
: b9 ]1 Y& U# P1 c, b+ J: Pwhile[ j < people]! U& O7 J# }( z- k' {
[
2 X8 Y0 k# _: H9 c! ~! o. d, tif( length (item i1 t0 x$ ` d, z! k& w$ b$ Y( c7 D
[trade-record-all] of customer) > 3 )6 [ D& D& F5 ]
[
4 G3 s0 T( d7 @. b& Fifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)) }. V4 H) ~* l' v) x& {
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
" f* s. v7 f9 d- @! @ @[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
3 P: e2 j8 x7 ^0 t2 S]8 j% T- m8 F- Q: N: H# Y* D$ i# b7 g
]
- y3 L( C% J( U6 \7 i% Y gset global-proportion note+ e& z) ~6 ^. H1 {7 M+ n
]' b, s/ c, I. f8 `2 w6 S$ K# W
end
: i4 V& [2 Y: g; c- |1 s v. U! j8 ?5 O, S
to do-trade. T; _: ~1 H: v1 Z3 z, R
;;这个过程实际上是给双方作出评价的过程
& Y6 v) }) A0 N. wset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
( ^7 L) g; p# |set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
: v e; o- v! |! Yset trade-record-current lput(timer) trade-record-current4 A0 c! R# i' a; B1 V, J: H
;;评价时间7 l% j s, t; l% F7 W
ask myself [2 z( X- e4 C3 \1 V5 H
update-local-reputation9 l- T f$ A" \* V
set trade-record-current lput([local-reputation] of myself) trade-record-current
e* p/ M4 v3 x/ t, a: F& h- k, L]
* H& t9 d. j# Q% o) pset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself7 J% m$ C4 P0 J0 o( U1 ], u
;;将此次交易的记录加入到trade-record-one中
+ C2 [, \7 y3 V* Bset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
4 j( o' v" _. z1 l4 d( zlet note (item 2 trade-record-current )2 R, O$ L' k q# N1 p; _! ?: k8 \' z
set trade-record-current
0 b9 C6 X$ n7 N' m" R(replace-item 2 trade-record-current (item 3 trade-record-current))+ O. ^" k- c$ ?+ g2 N
set trade-record-current
% r& H# s, P7 |" @(replace-item 3 trade-record-current note)
2 E. {, J0 Y5 h$ M
+ O2 e. h7 `' k: k; ^
2 Y9 [# y; y r% J! l/ a. R3 Cask customer [7 O5 s5 N0 _4 [/ Z4 _- C% }* W
update-local-reputation
; n7 `7 j$ J$ w/ g& {9 @& [; Eset trade-record-current
" | {; L3 x9 R' ]" i& W(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
& t# I, P5 H, c% p: c8 G1 x]2 Z$ U( ~) Z5 i) N( ~0 E1 J& _: b
0 d q6 s4 _% s' @ `, N" r/ C, x* {% Z. J
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
! `. s( A2 X; g: z0 l2 m4 V( [
" O' `$ S1 v, t. M- X }/ Iset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
- B4 Y7 B8 C# X8 d4 L# Y6 e;;将此次交易的记录加入到customer的trade-record-all中
5 M2 l+ U7 ?4 u9 h/ \5 U" rend
! z( `3 h/ I$ g" O1 k
4 f( U9 ?+ y1 B9 S. \to update-local-reputation
) F% I6 \& K! Rset [trade-record-one-len] of myself length [trade-record-one] of myself# K! l- n N2 n0 R
$ _' K5 S, s4 d$ H5 S0 f: q6 g- j
;;if [trade-record-one-len] of myself > 3
7 s8 N4 x. _( a5 w6 t: `3 }0 zupdate-neighbor-total
: ?+ }# Z7 L# t& d9 D4 u) };;更新邻居节点的数目,在此进行
8 J: W+ M& D5 f# d1 V5 vlet i 3
; u' l ?/ O" N7 elet sum-time 03 [ |1 f# u: {
while[i < [trade-record-one-len] of myself]% n' _8 z |+ {% C9 p; n# {6 y O" `! n
[
% N" g: i F z- d) yset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
) n1 I9 z" v0 L5 Gset i
* C3 l8 T! h) l% }. I3 N( i + 1)7 l% L& M# |9 d
]3 [% n! V6 F$ n( v
let j 3
) {2 S, O+ p# m# ^let sum-money 05 q2 h3 |, J3 ?5 U& t0 u ~
while[j < [trade-record-one-len] of myself]
/ A6 r w) R7 n z' A# g' t[. ]6 M4 ^8 b; O. j+ l6 w6 u
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)- F1 R @* V' u2 A# T" M
set j+ S( g4 U( x; }4 L$ k P5 |" o
( j + 1)6 Z9 P. y4 O3 t% c
]; j3 B6 T8 ]/ Q
let k 31 g5 y! A- Y; a+ @ z7 N! p: m8 ^
let power 0* A. x3 E& b+ Z0 K- X4 m& ?8 G
let local 0
+ D7 \' W/ H+ ]while [k <[trade-record-one-len] of myself]
a/ A# I/ m6 H[
! l( l( w! l3 l6 T/ y3 Dset 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)
$ Z. T! u. s# mset k (k + 1)3 s$ X9 M6 s, b! U! Y- R) Y4 v
]
# p6 o( ^5 B* j \set [local-reputation] of myself (local)
. N2 E' }2 D% @$ B- Nend$ v% y$ M: k; D5 H4 k
& \# `! C+ I7 N0 j3 j3 J% A: m
to update-neighbor-total' Z, z$ z) ]. f- F
+ \' _ V; _2 t" H9 {% _0 E5 jif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]6 s1 V9 I6 z8 T0 U, F' t
; g6 f" [9 a/ u5 C9 d5 V7 t
. _- m7 I9 W( C% L
end1 c! C; y" y4 ?0 h! c! r
% X' t7 F2 |9 u7 X2 E! _
to update-credibility-ijl " W- j+ s" v/ N, e# \
& p5 g2 F6 d( ?4 t) M;;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。
' }* u, z& k! Jlet l 0: Z3 a; i7 p! ?( `
while[ l < people ]7 p$ k4 I; i! Z$ r1 E' b% k
;;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
" C4 y: \: t }[. H7 E+ B Z9 B4 F! l
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
, s+ B+ ~3 W9 v5 o- O7 Nif (trade-record-one-j-l-len > 3), I. y4 |- L I
[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) j& S# e+ g3 |
let i 3, [$ M! D4 ?; ~ ^* {
let sum-time 0
# a! L! r5 j( ]; jwhile[i < trade-record-one-len]
8 o$ V) N! @/ T) y7 s/ f8 p[
9 M% \3 T9 Q6 lset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
# V% k4 w w1 c8 ?set i/ U; }7 t( L$ h& r( O5 ^4 w
( i + 1)- Q2 }9 M$ y; G1 ]
]
* e% i* V: N# H, R7 W3 Vlet credibility-i-j-l 0& a' V7 N9 ?9 ~: X
;;i评价(j对jl的评价)" x! Y; {, N3 u
let j 3
0 t6 N, l# O4 v( ?) J2 Plet k 4
, y* T- t9 u Y" Q7 E Pwhile[j < trade-record-one-len]
. N2 r; t$ s- y' K( `% G" \[
2 ? Q7 A6 l0 X+ xwhile [((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
' Q5 U5 M5 _; w- Y& U! c$ ?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)
7 Q% W+ `* v$ M+ N- Hset j0 N& s4 m# [% u2 }: m
( j + 1)
) W/ [- g1 @8 D+ |5 Y, s+ M]; R4 F3 |- l: W! `! ?$ `/ i
set [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 ))
6 m1 O- A5 M- C8 P7 B$ _+ r8 ?+ W1 a# j
. n6 e6 x/ T% L2 ^let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))) L9 M1 ^0 _% @/ N0 `
;;及时更新i对l的评价质量的评价, O3 H+ n" v% T+ ^. {+ W% q1 L
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]6 P4 f* o: p- _/ `5 E' c/ h
set l (l + 1)
0 A G4 K, T0 j$ {0 C" p1 r]
1 A3 c% A6 m7 K: U9 W: {end5 x. B# o$ r- ^+ c' ^/ c P
7 [# R9 T5 C+ M! |% d2 P% }
to update-credibility-list* Z7 U/ s6 ]1 u3 c2 l# u0 `. d
let i 0
$ H5 B- l) _; v* \while[i < people]; }5 r) ~& \, m
[
3 |1 j. s' E6 f/ x6 E! glet j 0
6 e* m- e% ]$ a3 B3 hlet note 0
- ~$ |4 r8 r ]. ^let k 0' V- k% |5 T+ a1 f: W
;;计作出过评价的邻居节点的数目/ U* S# q9 V3 H2 ~+ S( c
while[j < people]- P5 X4 h8 U0 l, e/ I
[) V3 Z3 c3 b1 a1 ]5 c- a/ S
if (item j( [credibility] of turtle (i + 1)) != -1). ~* {. H T1 n9 s6 p+ P) p- ]+ R! p7 c
;;判断是否给本turtle的评价质量做出过评价的节点- d& n! I* T) K \" F: ]+ g
[set note (note + item j ([credibility]of turtle (i + 1)))8 w- j9 H. S( R- E( k0 p
;;*(exp (-(people - 2)))/(people - 2))]3 Y. e# m2 y, i# ^* }/ D
set k (k + 1); q" K+ q- Q u8 t
]* r6 ~) Z$ x& Z: p1 m1 o2 Q
set j (j + 1)
8 s6 z/ W/ y* \- x. b* h* L" _* [- I]
! _8 }- z3 K) Z0 N2 M! e0 \set note (note *(exp (- (1 / k)))/ k)
: u6 u5 D# Y! H& E8 j3 ^2 Bset credibility-list (replace-item i credibility-list note)
& y) n8 Z/ y6 @: v- Vset i (i + 1)& b' H i7 ` Z' Z b+ g
]
3 e! a" w6 S8 Cend" n5 u! h' c, S4 c6 O
( ^2 E4 |' Y* V5 f r' Qto update-global-reputation-list
# Q% w$ H. n' m' Alet j 0
5 [. N3 p. e6 ^" ?' ewhile[j < people]
m# F/ @: L" S2 T" c[: U' M0 g& Q7 \% _1 H' @7 r
let new 05 q) H! x+ ]" c. P3 @* j D
;;暂存新的一个全局声誉
2 H7 I+ w& N, m$ Z2 P8 | plet i 0/ p3 K) v4 g4 V7 ]# _
let sum-money 0
& I9 v9 j- T7 L" ^let credibility-money 0! t z3 G% n3 o5 S; e
while [i < people]
6 K: h4 D% v( h% [1 b[
9 I+ a4 i' W4 ?' ?0 ~ _0 F) r! @5 r4 Iset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
0 W6 `- N& n7 M& w6 O0 E2 Z- f& A0 jset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))/ K) y, ?0 G3 U. f1 A k( _9 w- o
set i (i + 1)
+ C g2 Y" P9 W7 ^6 \2 y9 R]
; x* e) ^5 Q( j, B$ r4 ~let k 03 S6 j$ W0 A5 R3 k+ L' h# D
let new1 0+ L# ^! ~9 \: |0 F
while [k < people]
- K3 E0 I5 y) W& h6 L6 m$ x[) K3 ?8 F2 T9 R: v6 v3 R% _. ]
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)
2 ^/ }! ~( j# q2 eset k (k + 1)% x% U8 u, h3 r0 r7 ]
]
& v5 T# D$ V0 Q+ \set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) ' b2 _/ P; C1 e$ ?( \# g* {+ c" W. f
set global-reputation-list (replace-item j global-reputation-list new)
& l. E( h; e% dset j (j + 1)( g E6 `0 O1 Y% x2 t4 L
]
9 g% V* j) ~' ]1 @end$ I1 X" V' _- W6 P
* R. A& |2 E! @2 V' F0 t
+ W$ F. b3 Q, [0 m' o
g( y3 t5 |' ?: \/ \to get-color
. W9 I( T/ O' `) g
' R; u, y. f1 D7 z0 j8 Q* l1 iset color blue$ o7 O4 L# C( z& C1 d( H
end
+ x2 V' g/ t% G! l5 ?' j
3 V3 E) F" i; B5 E5 d) g$ ato poll-class( C* ^) r0 D( f$ i
end) _! t: B2 B9 x! Y" f
5 V. N& v6 F& V; Q( [to setup-plot1
6 `$ H5 i9 [( M. W' x- r
( u3 e! u( }1 Kset-current-plot "Trends-of-Local-reputation"' a5 s3 ?9 [ S0 D, d
1 F9 E( O5 y" G) ^ a: [/ |7 }1 Tset-plot-x-range 0 xmax
6 R' X- L5 i- K
$ n4 l# r+ C2 j! W& ]' ?set-plot-y-range 0.0 ymax8 U: d5 X# q1 [ R" \
end
1 U1 Y/ b+ f8 J; h
! x P% @6 ~9 tto setup-plot2+ @) W% n# `7 U, v& J
3 G. W3 a2 T% G5 b* \% uset-current-plot "Trends-of-global-reputation"7 @; t" g2 X, H! n! N: Q
) d7 N1 ?, ?& E
set-plot-x-range 0 xmax
1 v3 }; H c+ J7 Y
4 ?# L2 U& o5 f" ]* {/ b, Fset-plot-y-range 0.0 ymax
r- C. E7 u" u8 G0 [/ x* _6 Jend
{$ d3 y6 m+ {$ I) o# y* e6 ~2 v# m; ^8 ^# V' O" D o; B6 [
to setup-plot3( ]& W, g7 D0 X. w- l$ |( I' R
* R+ z5 K7 q$ v- L& {" A( vset-current-plot "Trends-of-credibility", W4 y6 }5 h6 B& a: B4 M
5 B2 b5 f6 ~. u" R' }! a0 L; hset-plot-x-range 0 xmax. t1 w3 d# H; S8 J( M
( B. _; V# |0 Y, b
set-plot-y-range 0.0 ymax
; |! V4 S3 V2 nend
9 q6 u# V. t9 K3 M- r
0 j' `; D9 {1 h* V7 Eto do-plots
8 z0 ?- Z8 n# T4 _ R0 c. \2 _set-current-plot "Trends-of-Local-reputation"
) v, O% h% W6 k) O1 rset-current-plot-pen "Honest service"' j$ u2 Z+ |$ s2 L- V6 j2 Y0 P
end f; u9 B$ p. u8 [( c, t! R
" Y; Q* B2 `. @" J9 I3 z6 D) K" d[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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