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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& h4 H: A2 J3 D' j
globals[8 s8 m( b: ~8 E7 O
xmax, T7 x g! ?7 h8 c$ u
ymax
8 |; @+ T7 d' U) Q, ^. Z5 ^global-reputation-list# ~! d- q' g: M9 U
9 i/ V6 p. O! h# e. Q8 u6 F/ Z5 G
;;每一个turtle的全局声誉都存在此LIST中
+ k: k0 v: `9 C! N8 Y- E& V$ gcredibility-list
5 W/ c1 w$ p, g6 U; M# p Q. f;;每一个turtle的评价可信度+ C( v4 k* }+ ]* j7 J, c1 o
honest-service
# k! g9 V8 s8 ?" ~ Tunhonest-service. x) i% j( M! F# {: ~
oscillation
4 G( r/ X( v) t. J+ N( H1 |) O1 @7 erand-dynamic
b7 R! R" R4 I! d! b]
% d. W7 d6 h$ t2 I& H( `# x' o' A, G; N, l7 T2 B7 h0 P, \
turtles-own[
5 {5 N9 d q' t- _0 Ctrade-record-all6 O. q* f0 X' D7 t# }' n1 ?
;;a list of lists,由trade-record-one组成
i8 s5 J7 N& }5 m0 @trade-record-one
! L$ x8 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- q1 Q, P. `, A5 ]$ P
6 A/ Q$ u7 B& G1 t# I' D
;;[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]]; i* p# N6 y: [4 s* x1 }: z
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]
; t0 Y3 ~5 N8 R* w6 E2 x, q' 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& [( j+ x; `& \+ l# N
neighbor-total
4 a7 g; i% G7 i) S/ ~: S) L& S( u;;记录该turtle的邻居节点的数目
% e R" q9 W. Ftrade-time
}" g: \6 ~( m1 c7 _1 H;;当前发生交易的turtle的交易时间9 \8 t& m6 B+ P6 L9 f
appraise-give$ D3 { Q9 E9 ^+ W2 x( c8 ?
;;当前发生交易时给出的评价* F: X1 M8 F. z) g& Z
appraise-receive
4 E3 ] H6 Q4 ]5 ~4 `;;当前发生交易时收到的评价+ z: G+ r' _3 D- x9 S" B8 I
appraise-time! c0 q# ]" I- W5 R* q( w
;;当前发生交易时的评价时间
2 @" @% }- D$ b: ulocal-reputation-now;;此次交易后相对于对方turtle的局部声誉& ^) L$ @2 D& C9 A1 A2 g9 j! P
trade-times-total
) u8 m, _5 z& y$ R% W;;与当前turtle的交易总次数
3 n7 [, y+ J; x" L. \* X. e! w2 ^! Ftrade-money-total- g; T3 M! Y: O9 f: w; [
;;与当前turtle的交易总金额
8 Q& n2 h2 O7 Vlocal-reputation
% v% M9 [& ]# w- i# l2 c8 fglobal-reputation
% J* l S8 ?- N$ Jcredibility- Z8 {' x9 z& u# a# o) k" E
;;评价可信度,每次交易后都需要更新
: R0 e9 w$ ?4 `; Q/ j: Q/ _2 F' Dcredibility-all J b+ U! X' d, \
;;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
* R9 ]. ^) G" p8 }' u0 J# p/ y- p0 y# B0 Y
;;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) s' R1 K0 E4 m7 w% g, g" y y
credibility-one
6 u, r6 s+ ^3 H" u- 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% G4 t! O; q, H9 Q/ _! o0 R, S
global-proportion7 P+ T4 m- A$ _$ T6 I; ]: U9 k
customer! M) o9 ], ^$ I3 e7 Z$ K. W7 X5 g+ {
customer-no' q7 {; J* ~1 n& a# ` j3 y. a- N
trust-ok5 z; R1 ?' A& {) O i$ D; j
trade-record-one-len;;trade-record-one的长度/ e+ M0 ?* @2 f
]
& ~4 t" |4 Q$ b9 ^4 Y0 V m, g( `' G! X$ L$ z+ o
;;setup procedure) @" o; ]) B9 d U2 {
1 c" Q7 p: O; Y: V
to setup
$ Q' }3 i2 _) w E7 \/ f: x
9 T; ?! q6 A( a) z. ^2 }9 |ca4 `# @$ ^& d- J# S# q2 R5 Y
+ k( q A) \7 K ]) S9 a D1 p+ ~" \initialize-settings
) E, l2 J9 d* A0 h& }' U- z! s
* a# I2 L" X( P9 U- \crt people [setup-turtles]
# {- d5 R! o* Z/ K- F# R5 @9 {% r, G6 `1 b
reset-timer
( H; [) h' l4 B. e- K% ^/ O; W7 _3 g/ J* w8 G1 Q3 A/ M5 G
poll-class
: ]! K& j/ E6 D# h$ \) G% ^6 d8 A( ^8 {1 k- }" z8 D
setup-plots
" U0 l) F4 x- _# c( `. U" x$ A1 r9 L
do-plots
/ R8 U0 L) {5 fend* ?2 r3 L, V" Z
+ F4 W8 P# J' y- \9 `1 Fto initialize-settings
8 R. X- N+ R0 S% T; x3 U& v A* c! H% t2 Z
set global-reputation-list []
/ g$ n# ~& \2 D8 h% R) \: }
, f, m {) l* s- H( m3 aset credibility-list n-values people [0.5]% o4 O1 l5 z+ @! ^8 H4 Z% n
& \9 b6 v) T% e2 xset honest-service 0
9 p3 D7 i @3 w/ ?: g
' n5 B5 p7 m8 o. r- uset unhonest-service 04 @+ u4 @/ x+ X1 `3 ^6 v" I
2 L+ l* `+ k% G" _set oscillation 0. n/ H4 ?! l9 M! B
' J1 Z9 j, `4 V0 ]% R, G/ O. r7 C. i
set rand-dynamic 0
- T2 W5 p: W) X' @1 _. J6 B0 Qend
( G* _, o! W5 V- P( }0 T9 F! A+ r# c8 f5 A
to setup-turtles
1 w" V- z8 [4 Y, X9 _set shape "person". k* [& S o! D/ T+ Y
setxy random-xcor random-ycor
P! _+ h! w# Q+ vset trade-record-one []
" G9 _( R9 F8 X1 I0 I4 H. ?/ u8 X6 D' n- t( R* k5 U
set trade-record-all n-values people [(list (? + 1) 0 0)] # T3 @9 n4 p3 v9 G
; v! B# d+ ?! t
set trade-record-current []
' f) V! k" X' _+ Y0 s$ @5 t9 K. vset credibility-receive []
; t3 a) G. i! j& H+ k$ w4 a- gset local-reputation 0.5, M a0 n" v) U
set neighbor-total 09 V- [) c. K# z- B6 L
set trade-times-total 0
. s) s2 L" a! N4 ^4 F7 _0 Xset trade-money-total 0
0 R- ?* o! I, y$ d# eset customer nobody+ F. ?- l5 J+ F3 H' H
set credibility-all n-values people [creat-credibility]/ o: g+ Z/ i: w: F# C! D0 X
set credibility n-values people [-1]/ D) s- U% u$ W" X
get-color* e( H+ b- k- X9 j0 ~
6 ^7 e" u2 v y% F q4 K2 L/ Send
+ G* d/ g* n0 d& H# o# m6 e! a, i* X# P8 \4 c
to-report creat-credibility3 M* F$ r: k0 P) l9 z- {
report n-values people [0.5]
: [; i G" D3 [& z% z+ _6 m3 X; @end% P# B$ B) i$ S' g6 z% j
0 G/ K1 ^6 L' _) O
to setup-plots$ V3 @$ ?# t E& K0 @
5 y# l/ ?1 P! a% [+ o, |
set xmax 303 T" Z0 @; K+ ~, b. q- M. C
+ S2 }: h1 ]" r6 E
set ymax 1.0& Z* ]) l0 R8 {! `. Q; K A
: c. B( w% O6 G1 @1 xclear-all-plots' d! J) ]7 _) U0 P
4 _' B+ B6 \6 h' A1 J. a0 X) d
setup-plot1& P( O2 R7 u% V1 Q A8 b
- D) k" \/ k8 b* p0 f9 T
setup-plot2
5 L$ d- R/ k8 v" }( K/ r, l* J* p0 v! _* I: E2 ]5 L
setup-plot3$ f. a* f3 S1 E, E
end- }+ f+ p2 G% Y' S# |# F7 j
5 z! H2 U6 ^' R: A. F;;run time procedures9 k! s- w. ^1 b- D8 C; t
6 k) e( |; r& @8 _
to go& O% j( T* X- M J( F" M! s
1 `! @6 X4 p1 w% ]7 O. x
ask turtles [do-business]
/ q+ S* r) x0 X! [4 g9 ?6 E N! eend
& Z9 s+ n6 l* o# k
; W* p5 l Q- h" V' C/ |* S$ xto do-business
# u# X, M& `7 [! s, q" G! ^) U) D2 D5 w
6 A5 o$ |* t) w: a* ~3 z4 x* Trt random 360
) O5 [" ]- q Q6 ` D
& U2 ? z( _2 u0 Z; e# d5 @fd 1/ V/ B* S& q# f# f) P9 {
+ C9 r) D; z+ U* p" @ifelse(other turtles-here != nobody)[
/ ]5 _. [4 Q$ A$ z. k. X. @8 A( h) {, e
set customer one-of other turtles-here7 ?$ v' D5 f) C3 y e- b9 _
8 w- Q- x, y2 Q( S' r# N* o;; set [customer] of customer myself3 G6 ^8 Z" x$ ?; X9 t4 b
2 i7 u. T# L$ a, v8 n
set [trade-record-one] of self item (([who] of customer) - 1)2 H4 p. H9 ?* E; ^4 ?4 s$ R( e
[trade-record-all]of self
u3 V1 C7 {( m9 R' S9 q;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
0 A+ N: Q. A6 c& R2 h& ^, C- a" ]1 C# O7 i0 R
set [trade-record-one] of customer item (([who] of self) - 1)
7 M4 B9 z, x1 C+ P2 i8 `( K1 D[trade-record-all]of customer
# V4 e6 q" j$ p+ o+ b) K0 B
2 w( i+ K( r4 T5 r' y4 y3 J E8 Aset [trade-record-one-len] of self length [trade-record-one] of self7 C- c5 E; ?, g2 l& Z" C5 K3 K" w
4 V% K1 F' p7 r, L
set trade-record-current( list (timer) (random money-upper-limit)): M i( v9 I' A+ v. H3 F( D M& ?4 U
2 K* e2 Z% V7 w k* Jask self [do-trust]9 A9 E3 v. n3 K8 E
;;先求i对j的信任度8 b' u: Y+ z* \1 [
1 a( |8 o& @) M1 H/ ]if ([trust-ok] of self)2 g2 N" s5 y) m0 [
;;根据i对j的信任度来决定是否与j进行交易[
$ D9 r4 @8 f! {9 yask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
$ m5 j) R: y+ ~, q
* ^1 B7 ? ?; E2 d; [[
2 h# o8 d7 H% X4 j5 B3 A5 p& j
) a+ u' m% F- E' Y2 R4 [: udo-trade
, k) y. Z, b: I& Q9 w; i
8 s& W3 ^ b" Tupdate-credibility-ijl$ R9 D/ x* |5 u- z6 l/ w) ~
3 ~6 n4 Z0 E Y O( A2 [
update-credibility-list
9 x R* Q& z! L* ~; D. k \+ j/ F* l. }$ C# H6 t
/ a: e+ x! q5 t/ ~
update-global-reputation-list
9 w! p9 J, P4 ^4 k. Q$ \ O9 \
- L- y2 \. ^) W" ]% I) }poll-class: Q0 Z4 m+ K- _. J
& a5 W0 x0 [/ P4 ?" A" A! A, Sget-color* E i. K' {% M( J2 C
4 V- `/ k0 n0 D7 |. @2 c6 L- h
]]
$ r( }5 {& ?; @, d4 z4 ~' l
8 i# I3 D/ n8 q- g;;如果所得的信任度满足条件,则进行交易
1 Y' ~% E4 R; m8 t! }8 \
3 _9 p8 O1 |9 p+ O[) }$ D7 y k0 a# x
6 x) v' B+ {+ f3 m( s* L) K9 F
rt random 360
( W; {3 d$ w2 f. P! K7 _% y& h; d
fd 10 B( ] C# G1 _8 Z2 w+ L8 c+ b
, ^% u5 T5 \: A3 o( v+ i& h]# L' X& J8 _/ h9 Y. h- W) u
6 E1 d) G, N; h4 J# |6 Y, p0 Tend1 ]) O, e* o* M8 W+ @, d
' J- n r% b1 g# ]3 f* t! ito do-trust
3 Y4 ~2 W/ D* Xset trust-ok False
3 Z; X5 e, h) ^; k/ F6 ~# D3 A$ [) d& l$ Q4 z; c
' d) W, p+ I7 _let max-trade-times 06 k7 s$ f0 G( R: M' r8 o& f) K1 X
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
: K! {" _, I" J! U5 c e9 qlet max-trade-money 0* o/ u' r( d7 i+ p/ Y5 @
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]9 ~5 G: j1 z- Q- ]& x5 ?0 g
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
* _! H ]/ F) f# r6 Y2 ]& ]6 Y5 G J, K( v9 r
9 O9 X1 V( l, S! V" I8 U* Gget-global-proportion
z0 z! P" Y' [4 r/ olet trust-value8 K+ k1 k8 d, `# @- D
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)
/ @- Z* K% q8 ~7 hif(trust-value > trade-trust-value)
! M$ B0 ~6 b6 A- i3 m1 `' H[set trust-ok true]9 X: m1 D- X9 e4 c
end" A& y! b6 w: n& K
& q6 |1 n2 z2 g! }' w) Bto get-global-proportion- w1 j& a$ m3 u5 |
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
* b. a+ N+ z- L [8 N[set global-proportion 0]
. U" m w3 L2 [/ k! k) y. E[let i 0* S$ O, E4 w7 ]* R( A5 Q
let sum-money 0
' Y0 p) X# w8 L' ?/ swhile[ i < people]
8 K0 K }# t. p2 O9 R[3 J! j6 Z; X. i
if( length (item i
. R/ a( b, l. U0 T9 R[trade-record-all] of customer) > 3 )
0 x# {% p( [! ?" h6 q' G: |[
6 f8 {$ I/ {' {( k. qset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
# p; j" L. C$ N% ^]
& u. _! r# T+ I; i( N]
+ l9 u! p+ C- X* v1 Dlet j 0
! |0 Y6 w& Q7 e' ~7 _' k9 _let note 0) X3 r. K2 |! q' F6 k
while[ j < people]( K8 j& q8 Z! z: v Y) @
[: R* n0 M; u B7 }
if( length (item i; Y/ N) m: ~( f, u% o
[trade-record-all] of customer) > 3 )9 c+ i7 M, t; e
[
) ` w9 [+ m# }1 K/ B' K/ m Eifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)* p ~: F5 s, B, v: Z
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]& e$ z4 f' Z( \- R1 F6 z4 Q
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]/ \7 t" g$ {( r! f
]: E, H7 t1 \$ T$ p, I
]' P$ R. `2 K% V( D. U8 F/ k
set global-proportion note+ y# g4 O. _9 q# p& p" q+ _6 }6 I
]
9 h* e) F, E# _+ s1 K, x1 J2 Rend9 v* H. i4 H: H U' N8 K. r+ `
1 O& @/ E3 U4 _* V- Lto do-trade
. i( f! a' A6 K9 I( E+ ~% R9 |;;这个过程实际上是给双方作出评价的过程
& b3 s1 z4 ?0 C8 x6 ]set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价; j9 g% @/ e' M, H! `2 v) I
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价0 ~. f: g2 O, K. h
set trade-record-current lput(timer) trade-record-current
* ~+ K$ X3 `' a: `' O& e;;评价时间
$ z5 }7 [$ s! C$ @ask myself [
) T# I* x5 v% ^ ~5 E G5 s( Rupdate-local-reputation, s8 S% x: r; x4 `, \
set trade-record-current lput([local-reputation] of myself) trade-record-current
" n. `3 T4 X; b+ a+ O& t]
3 @, h$ d9 v$ g7 w" {7 zset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
& `% U# X. }# E; R! m6 i- \;;将此次交易的记录加入到trade-record-one中
& Q2 {" t9 ~9 J2 pset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
; F& i- Z6 `, f! a# d+ r' H5 E; Ylet note (item 2 trade-record-current )
+ r' i- H( C6 A- ~9 Y/ Kset trade-record-current
% w/ S/ \8 f* x3 l(replace-item 2 trade-record-current (item 3 trade-record-current))/ U4 A+ w7 ?! k
set trade-record-current2 y# l# p! S& W' B$ C
(replace-item 3 trade-record-current note): O) n* V. A1 Q/ G' C( U
# I3 _; k2 E6 D, I; l
. V' }9 ?- R: uask customer [" \' H5 _4 \6 [
update-local-reputation
2 ?+ b6 h. r9 _ Cset trade-record-current
+ F5 _, s" h5 c5 W' H(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
; v6 c7 W- O* ?7 o$ W8 r]& b* b% V# Q2 L5 u$ o) d* N* b3 P# m
7 l& A" L' d) e
' |. E B" p/ Xset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
3 v- z. J2 D0 s! }
3 I; T6 a/ v9 Q, e0 f. `# {% sset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer)), i5 b# E3 Z1 ?4 Y
;;将此次交易的记录加入到customer的trade-record-all中& j- H2 ]+ z: X7 n( s
end
* M. e2 B+ w! `. r; {" I9 J3 S
7 ]1 ] _4 R0 T) I0 e% Fto update-local-reputation+ h1 b7 X! y: A; l# C
set [trade-record-one-len] of myself length [trade-record-one] of myself
# C: B" t' w' M7 {! X2 A9 f
' y2 U2 H9 ?7 h& a6 p9 L6 h) l G. g
;;if [trade-record-one-len] of myself > 3 ( Z9 s' n9 O: ~7 x+ g6 U; W; f
update-neighbor-total
. F" U# v# i# W) h7 `+ c;;更新邻居节点的数目,在此进行
9 W( p, O4 b7 I# Ylet i 3# j# z7 R0 k( h+ p, i
let sum-time 0) |5 S' _% X% o
while[i < [trade-record-one-len] of myself]2 v3 l+ z% u# \6 y, U9 B
[
- a( S, D/ j) x' j0 r u2 y) L' fset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )3 k: l3 j# ^. B6 U
set i9 B5 W$ N4 C! k( p4 `
( i + 1)* m" G; p9 z: w6 G- C' i
]7 b, Q* Q( L- s+ `
let j 3
% `: e) W0 ?) W- `0 b& G6 `! klet sum-money 0
7 } G2 D g1 [5 Q0 U' Q# @/ ~4 kwhile[j < [trade-record-one-len] of myself]
4 N; M0 I) [5 U3 F* Y% J[5 i+ Q$ _0 }! L
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)
" h6 l2 F7 A7 A. qset j. U9 B# n; p5 _' b) w
( j + 1)
^3 a0 i8 z! w; V: S! ~]+ t+ g! q# ]" n6 C" G. M0 Y6 Z
let k 3' ?% g8 x& T, n7 s; F2 x& n
let power 0
+ j" ^- z- h7 X `" q2 \+ j4 slet local 0
" E8 A$ N+ {! K8 R$ b* n* x+ nwhile [k <[trade-record-one-len] of myself]
% ^. b$ @4 H8 t8 s8 Z[! O: v+ y/ Z0 J2 d4 t
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)
$ \8 A0 U! x3 A! Bset k (k + 1) M2 x. r4 F% }8 s! M! ]4 E
]: @- k& w! j9 ~. x
set [local-reputation] of myself (local). g! j+ U1 `% }& E2 p
end
, h% I/ U7 O$ }& \+ n
4 d8 P7 D( O: zto update-neighbor-total
5 f. m/ |2 j+ ]( a/ m6 o) @# a& v2 X' j
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
( X# ^! F+ B% K2 S6 B' V: o
8 u% V3 u: B3 A5 R% M9 a# X N: E" w: G
end9 P! u- j9 ~4 S+ D; Z
. D# ?0 k% |1 Y: `. Xto update-credibility-ijl
* V. p. H$ ^5 H, t$ Q a, _; W0 Y* k0 H
;;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。
+ {# X/ X# \' d0 m' S& alet l 0
2 B; i9 ]: `# x4 Q; \/ gwhile[ l < people ]' ]' E' v3 ^1 q" w" m; X; V
;;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 t! b) x: y7 E4 e) [6 T6 \4 z
[
; L7 F1 `) c! P# k/ clet trade-record-one-j-l-len length item l ([trade-record-all] of customer) |3 C. ^3 o% I4 H o4 l
if (trade-record-one-j-l-len > 3)# _1 C3 r0 B9 g9 t9 D
[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$ V! s3 H& D. O- | ?( i- Mlet i 39 c) v: m' V" H f/ W3 W' A
let sum-time 00 l9 X) q6 H$ _! Q) _0 k
while[i < trade-record-one-len]
. y3 ], n! |9 ?& |4 h: q+ d, g[
6 X0 P; Z, {3 Z( \/ z5 d" ?- fset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )4 U( f1 [' R) b8 P
set i0 B3 Y* _) ^3 h& \. O* O6 h7 ^
( i + 1)
. z: A/ U. N8 F]
) [' L4 Q8 U9 V' hlet credibility-i-j-l 0" I: T+ p4 L3 F" z
;;i评价(j对jl的评价)) N. E4 Y' P1 ?3 G- _* b
let j 3
0 x- t& h3 j( u) o, S Z) \: t& Wlet k 40 I" C: V8 b/ |% y$ `4 ]- h
while[j < trade-record-one-len] i2 ?0 p6 m: f. n7 Q- a
[
4 p6 ~0 N6 W1 ~3 v) x3 } ?) pwhile [((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
) Z* n R" E. I6 K& Dset 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)
1 d' W6 X0 E+ r" z6 ^4 M4 u9 Wset j
/ Q1 _5 P/ t5 _: M: Q# b( i( j + 1)
7 g g' `4 P+ Q] V# M" q1 v6 e8 s& h Z
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 ))
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let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
* G2 M, L8 h& M0 A;;及时更新i对l的评价质量的评价
" c ~+ e, K, L& @+ ?! L- f: |- fset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]# P$ v: L' J+ c9 @, Y) N
set l (l + 1) m8 S5 H' i' h; j) L2 X
]7 \ c7 f! ~" z2 v+ b* @, J4 |( F
end
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" n* ^: m+ G$ w: f( n* v2 g# y) Vto update-credibility-list- u: o B+ W/ C. K5 G
let i 0& a# J) V0 x& D
while[i < people]% l! s$ P4 |. B8 m8 D: u
[; e! r8 ]* y) [ x7 M! R! v/ X
let j 0
. h2 s7 ?, X, D; _+ C2 v2 Rlet note 00 M3 V7 t, n( N, `4 G5 ^/ ^
let k 03 @6 f* q+ e$ s& ~, w, C8 r
;;计作出过评价的邻居节点的数目
9 T4 `) o2 w5 Ywhile[j < people]3 h( p. V- D5 C
[
: [! K2 P+ h- y. ~* x2 uif (item j( [credibility] of turtle (i + 1)) != -1)
( \/ d7 g2 Y! ?& a& K2 }1 \;;判断是否给本turtle的评价质量做出过评价的节点
3 x" i* ]& O. G6 [6 r3 ]9 s[set note (note + item j ([credibility]of turtle (i + 1)))" B9 J5 s, u7 R# [7 }
;;*(exp (-(people - 2)))/(people - 2))]
3 w/ ?& E* z% N6 m9 ^$ ?set k (k + 1); Y* W' r; K4 o9 k; [! ^, g# q% n
]
1 K* |' O6 ~0 E& Nset j (j + 1)0 J3 W6 y' m! e- Q
]
" X( Z: X4 f$ k) P0 G% U Rset note (note *(exp (- (1 / k)))/ k)
4 f. [! Q, M8 Zset credibility-list (replace-item i credibility-list note)
; _ e- N+ ]- C b' y. [9 F& y4 Jset i (i + 1)
; N! s$ K! I) P" D! S]
) U" h7 B# T# U" l' o# Bend
3 k- z/ h6 V" [
* u$ i) p: z/ z! M2 T, v9 Qto update-global-reputation-list, H/ Q% S1 b% j8 @( \
let j 06 m' N8 P" w& [: `7 a
while[j < people]$ W# F) O# s" E. R- g
[
, V( d, V% R) V' Q3 hlet new 0" {/ o; S; ]' Y6 f
;;暂存新的一个全局声誉
1 `* Y; `0 ?3 _( ]( c# {2 Alet i 0- ?& C- o( `) ]+ l
let sum-money 0
7 p" m+ O; l7 D' d" Y* |let credibility-money 0
$ y8 j2 `" a+ Ywhile [i < people]* e4 a9 f1 h+ V
[$ K0 O! L- d+ l+ \1 M9 I$ e
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
j% O6 u$ L& U* w9 `, ^set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))7 C' A ~" `3 J) I9 O0 X& ^2 Y
set i (i + 1)
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+ Q; f8 E! X' ]$ L" \. dlet k 0
% \# R m8 T# v+ V5 L- a" E3 h _$ Wlet new1 09 _" }0 Z+ r- [/ E
while [k < people]
: d4 R2 }, @% @; q( s[
3 \9 N2 _8 a' t; F7 jset 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)* Y1 L3 Z. U' |2 u
set k (k + 1)# ~: i/ A0 J; F+ C' u
]
9 i% H. [+ p8 F, |# N/ nset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
& P% N/ E- n. V6 }0 _) aset global-reputation-list (replace-item j global-reputation-list new)# L- Z# h! O/ }& L/ B
set j (j + 1)' a8 _: [3 I3 _4 u, G$ j3 G
]4 x. }) c, s% b) [4 i
end
3 d) p/ ?* e( o1 X: u, ~9 _( s0 z( a7 u* I8 n7 E% T
3 F% V8 g8 ~" e) j, {7 d" u7 Q( i' b! J* S2 v5 q% _
to get-color
4 g$ I, D. j: {" t) `! `1 G$ T+ n& C3 u }1 _, }
set color blue5 }+ D4 l- j( \' q8 f' y+ t
end
, ^8 X& k6 q Z- ^% y& M/ A: J
a6 i' y+ V5 c$ O( L: m: o, \# lto poll-class
: F5 c- F) \8 n9 send
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+ K2 P! j; C; ]( p- L3 Uto setup-plot1$ S8 g# m+ [4 I; Y+ G
3 ?. Y; E% i+ R: b5 zset-current-plot "Trends-of-Local-reputation"* F. J! H4 E$ {/ R
3 V7 T" i& H! s# b
set-plot-x-range 0 xmax
& I& |# g- ]: ~& x z
; B* h* d& ]2 O) Lset-plot-y-range 0.0 ymax0 }; I+ k& a! {' w5 ]: g- ]3 X) u7 D
end
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# p7 L/ W* c5 {- M" A) Uto setup-plot2* ^' a+ R3 n7 K0 d0 v. Q. U7 n2 p3 T
! Q! d6 Q+ }% B8 x
set-current-plot "Trends-of-global-reputation"
# B, @- I9 O9 h# ^8 W$ H2 D
2 {( H$ n: g0 [, u; E9 y' wset-plot-x-range 0 xmax
$ \+ |9 l6 R3 h; |/ o( ^$ q( R: [3 Y4 x! s! ?4 @
set-plot-y-range 0.0 ymax9 W" a" K' I- K1 E4 x% I1 m& ?" a
end7 f; e0 @0 P/ b Y; t8 {! N% w
- a) H) i- W0 L1 O
to setup-plot3
1 F0 N$ X: l! V) m
9 b3 S& I/ A) B# {8 j& ~set-current-plot "Trends-of-credibility"
5 k3 V( N1 A+ Z
$ N+ @9 z0 \; N2 u8 a9 L& kset-plot-x-range 0 xmax
4 n8 Q6 l5 X4 v1 \8 b1 u0 @$ C
u' I( {( \, d1 B9 Iset-plot-y-range 0.0 ymax
1 G H. x3 ]7 ]1 S; pend, }& K: ^' C! A! Q& H: Y0 |; O
5 d( a9 y) z2 b; n: q) x
to do-plots7 K$ C! F8 J+ q7 V0 T, c% t) }
set-current-plot "Trends-of-Local-reputation"
* F; x7 N$ P; z3 C; a, `% Oset-current-plot-pen "Honest service"
5 q5 D- z3 S6 O9 V: B: x iend6 [* X% L! x' ^! X* l" e
7 F, k6 F3 n. V% o* L[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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