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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7 F8 \5 K% Z1 n0 Y& R k' F
globals[. F: M# e9 N) R" C* v$ |: }
xmax# G# b1 c# j3 W( j
ymax
m, o6 j( @% Z Xglobal-reputation-list! ~0 R) G; x7 G6 T& Q3 P
- w- l4 d4 q3 E" M5 ~8 k" ~6 k;;每一个turtle的全局声誉都存在此LIST中
* h" M! h1 o: jcredibility-list# q! j8 e- e( H2 z( m3 R! T9 M
;;每一个turtle的评价可信度
# ~/ G$ J6 X$ ahonest-service' e4 _" }. l- Z! {. K* @
unhonest-service$ }" `* \; L% E; U3 J$ {3 L$ I
oscillation' U9 `, A n" J/ {( ^
rand-dynamic8 X; H1 M$ g- U4 k
]% D- O- z) ?+ J. T0 D0 S
* r" a- o0 R4 Q; s; O
turtles-own[* K5 p; {* w, x4 K
trade-record-all+ w Q! g; g/ G6 \# q7 w
;;a list of lists,由trade-record-one组成
7 u" x: W& m2 b7 d+ W% `trade-record-one
6 C$ f# U6 C; O# e, j3 |;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
w1 h3 w. Y' @
; K. I0 e" Q8 D1 };;[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]]
* E# G+ l0 D: ]7 A9 ftrade-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( w! R2 R2 w8 `' vcredibility-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
3 p/ ~- L9 s( E& ~( Mneighbor-total+ f4 Q4 _2 e3 }( m9 H
;;记录该turtle的邻居节点的数目( @! d- F6 s' \$ L/ K) \2 J Z
trade-time6 s1 X6 v3 t" ~/ |" ~5 L
;;当前发生交易的turtle的交易时间: _% X4 }& y3 i' f. o
appraise-give
! A! m* S6 f- z* D" \ B' i;;当前发生交易时给出的评价
9 s3 {3 U7 e' g! r; S! x" Aappraise-receive8 T# h6 k+ g& Y1 V2 V
;;当前发生交易时收到的评价
) n- O/ }# [" a# Qappraise-time
' i) M [* q) p: d% }0 \: u;;当前发生交易时的评价时间
& \+ {- i! k! f+ F$ ~4 z) Blocal-reputation-now;;此次交易后相对于对方turtle的局部声誉, ?6 U3 v# @0 M, n, f& w v) _
trade-times-total- Q5 a* T7 p- A
;;与当前turtle的交易总次数/ V+ n4 N1 J( M2 L3 G4 n
trade-money-total0 k0 N/ }, `$ Z
;;与当前turtle的交易总金额
" }8 c5 Z* v5 W& f5 n5 ^, B- D6 plocal-reputation7 C8 t( A7 s1 t2 V9 M" {/ j
global-reputation' y* Z. \9 b2 ]: B L' ~# H
credibility1 d+ d- k- r5 G$ G3 D& ]; X
;;评价可信度,每次交易后都需要更新
1 Y( y. o* K$ W7 b' Q$ R/ M3 kcredibility-all" t9 g8 {6 m" g/ O! `7 V8 I7 K* T
;;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% ^8 s# O- o4 I" w* e F q9 O
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;;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
. F' b$ ~. ]" o9 @$ u* K+ J; M0 wcredibility-one
( }4 ]2 w1 _+ { w/ q) {( g;;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
q* Y% r3 [3 _+ t2 eglobal-proportion
- z) N* T) |+ E+ F; H) v) s0 J7 tcustomer
& U7 R$ U9 r1 X: Ocustomer-no; t% _: \% C$ x8 {7 L5 @1 T0 z
trust-ok
Y {3 q) }& ]- X) ztrade-record-one-len;;trade-record-one的长度8 k" n, H% l( e7 [' u9 N2 g5 |
]
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6 I! s7 U. \3 X: h3 M: Z$ c;;setup procedure8 @6 }* X/ b/ U+ J. q
+ {4 Z+ _3 O) f+ S
to setup( \/ `, W0 S7 G% f5 i) H
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initialize-settings4 J9 N S; `/ l8 ?2 y$ X
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crt people [setup-turtles]: l* `/ f" [. a! d b/ U
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reset-timer
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' \1 u4 c; y6 R O ipoll-class
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setup-plots4 M) i) r0 _+ Y) n
- c& ] }: J: I3 |
do-plots
# g* p8 y5 [3 c& F( Q6 |8 wend
3 ^8 h5 w h% M: t; \
" K1 k0 U5 k; o& ^to initialize-settings( `' i7 ~. E# x2 m) T# x5 g
. F& I2 ]+ M* e5 i- v, |
set global-reputation-list []5 a; a* k2 H) m+ K
/ J6 C8 U# h, |; N$ {' @8 q- gset credibility-list n-values people [0.5]
* I2 |; _3 C6 |8 h! q; c
5 |* ^0 B% N* @ v: B2 X" P, g5 rset honest-service 05 n$ v9 G4 f$ u0 F+ J) x
, ^6 [' p' r" Pset unhonest-service 0
4 I$ \' `5 {. f
2 X }% |& N# ^- o4 [4 x+ Y9 [: Vset oscillation 0
2 X' U3 B6 i2 z
' K2 X0 V; M0 J6 P( p i6 sset rand-dynamic 0
/ a% c3 Y2 R9 n- m3 b/ r9 j, Iend
& O# \( w# D% T9 w j1 ~1 C0 w( ]3 A& u4 j
to setup-turtles
) [* q0 W% x5 _7 e3 w% |set shape "person"( Q' g8 B2 K$ q
setxy random-xcor random-ycor+ B4 \- K: \7 Y4 a
set trade-record-one []
2 U Z* m0 o" t: H* B+ m& f- s- B T/ t) a1 W! h, u
set trade-record-all n-values people [(list (? + 1) 0 0)]
# b8 O* ~" ~0 [ \8 Z$ z' T* k1 A( q8 g: r7 R
set trade-record-current []( @. K1 K6 Y% E
set credibility-receive []
/ d; A1 `# L% y1 Z6 _* C) P$ T* Eset local-reputation 0.55 I3 v' G. C5 ^. B
set neighbor-total 05 A+ m1 L/ {8 b0 A" i; l+ s5 x
set trade-times-total 0
: T3 [! O% A" a4 l' Tset trade-money-total 0- a0 P. O3 c7 E! e- e h
set customer nobody
5 H" j0 @. v0 o% Q6 F; J! y7 zset credibility-all n-values people [creat-credibility]" l$ s3 {1 J9 W/ i4 W2 x; o
set credibility n-values people [-1]
1 x- o3 a' d* z! X1 r1 Aget-color
. o( }2 d6 h8 Z9 m8 a$ C- f7 r1 H/ P' M5 n5 @/ r$ B. x% ^
end7 Z! r& w7 W% \) i
" L3 ^* p' `" P9 \( i% O4 N* cto-report creat-credibility$ W' C! J, H. r3 j1 P
report n-values people [0.5] `8 Y- D( c" ?$ x& Z6 p. B2 Z
end# p. a5 w/ R: l" x8 l
( M1 ?4 q4 Z6 W0 b/ }to setup-plots0 U$ u9 ] W' z9 @4 c
# l8 c8 J% {, _set xmax 309 y2 h- |+ X5 {& Z
1 S& \0 z! D/ G6 Z9 S3 ~' Cset ymax 1.0 N+ S3 a5 C/ W$ n4 t
" p) K5 V" y* N/ Yclear-all-plots
7 i1 o- m1 B8 P" ^ W! R
9 _7 g( m5 F0 T7 ~' Osetup-plot11 r. s" d4 k; L2 B. V l. o' i
) I! N7 y. S. Z0 ]& e8 Dsetup-plot2) Q8 Y1 y: c2 i; e2 Z2 H0 F
2 W C% |7 u" a
setup-plot3
9 v# @9 R5 b. R; gend c7 B- x( ?: W( [; B$ U' r( p' A+ ^
& _0 {1 R1 P" l# S: W;;run time procedures
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' _8 e' g& [# h) w+ hto go
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ask turtles [do-business]
* e+ J4 d/ t9 C) N- b# z9 xend& x% f9 @1 v! u# h7 o' T
$ g: Q; P( `6 l/ Lto do-business
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6 g/ E! c2 {9 r+ ]! f# q% l
7 [! j! O' E7 O% j* y8 e% yrt random 360' t& }) y4 ^0 N) `
# ~: }( w/ S# B; I% E
fd 1; A8 U- h8 g9 Z$ E) a# z8 x$ g9 a
2 M3 y+ g; q; N" Bifelse(other turtles-here != nobody)[
" o4 o. I& M" {/ R9 ^2 R- k Z/ j v$ C" P8 V) M& Z, _# W
set customer one-of other turtles-here
6 Z1 o) r$ V8 U( g' |# g- g7 [/ g# e
;; set [customer] of customer myself
2 ?$ X+ [- \; _2 T }- @! g |
6 r8 l) F8 a1 c" o3 |4 vset [trade-record-one] of self item (([who] of customer) - 1)! C; ~9 ~! e, o- ]! Q3 s4 K3 I$ j' F
[trade-record-all]of self/ s+ W2 Z# w/ \
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
; H6 V$ ]' ]: {
. N* g; s/ ?5 k* A; H7 ^set [trade-record-one] of customer item (([who] of self) - 1)
9 ?- R; }; k7 u. o, `+ X- J. O, Z[trade-record-all]of customer
; a s$ z5 I/ V
2 A2 `) `7 q1 N w6 kset [trade-record-one-len] of self length [trade-record-one] of self n6 R, {. ?3 w4 D* s' f7 Y2 V
# L0 Y; a$ E5 {. x
set trade-record-current( list (timer) (random money-upper-limit))
" [: i% C( R& @
- J x. U5 D5 D# A! P+ C5 Yask self [do-trust]
+ K+ j: n/ b" K( L/ X1 I4 s;;先求i对j的信任度- e4 l; a4 b, M: K5 k. q: p* `( E% F
0 G; _- C& y" w' l) d4 l7 d. s5 D4 z
if ([trust-ok] of self)) t0 |( C+ ~) k7 Y$ M, t9 D
;;根据i对j的信任度来决定是否与j进行交易[3 N0 y4 a+ u! s0 ~1 G0 Y+ j
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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& `% y: M& T; D( \5 W[
0 @7 Y. ]. P# I. y! ^; q. c+ l, z# p1 X2 t5 o7 p
do-trade8 v! u8 I! f2 U! i0 l
+ N& i+ x$ C$ a6 x9 y# ], j" _
update-credibility-ijl, a z+ |0 i4 T+ l4 s- [
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update-credibility-list# J7 e$ J! z1 E! h, N9 v
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( Z: {0 a. V( O3 Y- }+ g+ \+ _update-global-reputation-list
% @1 f @0 t7 R* O
* f$ t6 O5 F3 w' Dpoll-class2 @! K+ @' Q4 V7 ~, k6 A. U
: t& D; Z- P7 y- U$ T
get-color2 N0 {1 X. a4 k' r+ f
) r* u" T7 V3 a6 {& l. U]]
. _! j) L D! R0 u. A
& R4 g9 Y5 I" U: l! E;;如果所得的信任度满足条件,则进行交易
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4 ]& A( J: b- j* [
( c% w- M% P- ~8 R# M/ l, irt random 360
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1 X+ @" j* m1 Bfd 1% U+ ]+ K) B* h( l$ A
% M4 C; U: Q% K' i/ j4 q
]' g) |% a$ l5 a' R1 D
e+ a+ F2 P# D: }5 A. I& d cend: c9 E9 g7 [1 H: |, |
# X1 `8 K+ k7 f4 |' ?
to do-trust
. }& \5 _2 i$ U: Kset trust-ok False
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let max-trade-times 0; u. \/ l9 N- N( N
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]9 o4 I0 }1 O# l+ S* ?/ W
let max-trade-money 0
% O. C3 G& p6 V( g. rforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]- ~; ^* M7 B$ W4 r7 r9 B 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))3 ?' X- `$ N' G1 z& q
- t6 y, J! P% Y( b* n3 E; B* ]* l7 W R/ ^& Q* g1 Z2 i; Z
get-global-proportion" T/ c4 T! W+ A1 U
let trust-value
, l: f9 j- @( g( klocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
1 y" l, E- \2 x; `# sif(trust-value > trade-trust-value) w; h6 z# \6 ^3 }/ C5 q
[set trust-ok true]# E: c- Z. X1 s$ r
end
1 {! n) v7 U. U7 {6 ] O( k; c ~# V- q8 ]- E
to get-global-proportion" S6 ^ y" K4 Z: Y$ y8 n
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)" M: C$ i# K6 M
[set global-proportion 0]# t# ]" x, A# P @& R
[let i 03 G8 s3 z; Q; G6 R$ h) n
let sum-money 0) e8 }1 L* v: s" ]
while[ i < people]: }3 W, }3 t, z* B+ x8 I
[
$ u* n) \3 g/ l" M3 X |- N3 Cif( length (item i
1 {4 W' h l5 U1 f[trade-record-all] of customer) > 3 )
- u( e2 l5 E% d* l3 x Q& m[
3 A& i2 I+ n! ~set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
! w6 n) q7 z/ N]
`; C, J. O$ i5 O: x5 N]
- D' `% D! g% t9 ]3 ^7 O- i' nlet j 0/ S1 w5 I9 c/ L: N- p* }1 i, Z
let note 01 D* T+ P' b8 q3 B; l" g; M( L
while[ j < people]+ Q" z- W1 R4 e$ P4 i5 @* K
[
9 l- T" r0 {; ~6 \% r" H, M( vif( length (item i0 Q) c8 u l) k4 N5 m d9 W
[trade-record-all] of customer) > 3 )0 ^+ i+ n+ `% Q; S9 A: `7 ^
[
6 x1 p' ?0 A/ D9 Pifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)5 m( w' o5 H7 a& e1 S* `1 v! `5 l% s
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
( c8 j$ l: x" [[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
1 \1 z9 s g1 Z$ E7 b8 U6 F; }, \]8 x1 p4 @" j! A$ K2 a( V% q3 @: \; ]
]
+ m0 N( N M. K' |- sset global-proportion note
5 c! k2 v- s0 U4 x; x/ L]
" B8 `, F0 m T5 C$ L: U3 A% xend6 V/ C' p M! m) u
6 y' U9 n$ x: v9 U( M
to do-trade
7 \6 a; b, ^8 L2 v9 ~. };;这个过程实际上是给双方作出评价的过程
8 l/ }; N8 G7 I' jset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价1 K) X5 m; d! m( b
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价4 x: d5 k0 L3 f- T
set trade-record-current lput(timer) trade-record-current
' s* `0 | I* D$ Q. x. J! \;;评价时间
+ B* l M$ S! |" S( Xask myself [* Y4 |4 G; b- c* m6 q9 m: S' x' _9 C3 g
update-local-reputation" p) p& U4 X$ ^ {5 Z
set trade-record-current lput([local-reputation] of myself) trade-record-current
$ y# N" J- Q$ r$ c) Q0 L6 H]
5 y$ e* A! S7 o3 s* [) @set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
4 Y$ W/ C- n3 Q$ w2 g% g4 N;;将此次交易的记录加入到trade-record-one中( Q5 f1 M) ?; t* l4 I0 Z) J
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)3 Q9 x j0 t& Q" b. Y
let note (item 2 trade-record-current )8 g6 Y( L& K4 g5 q! w$ N/ D
set trade-record-current! `4 m6 T4 J9 x; l! ^% y% C7 ^
(replace-item 2 trade-record-current (item 3 trade-record-current))
, z6 k: s% H- e1 w0 s, uset trade-record-current
4 v" Z; E4 p2 Z7 A8 O$ \(replace-item 3 trade-record-current note)% ^% p+ g4 ?8 L0 E! @3 n( x
0 h6 d/ z+ R6 H2 ]! S5 v& o
7 Q3 Z% T3 Q* k+ T: ^, E) eask customer [" x/ P) F( I& o# H2 Q! @7 R6 C, n
update-local-reputation
) q# F: N0 d" J) g5 f6 Y$ Kset trade-record-current
+ p4 {) R% e7 \$ x3 z(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) 1 m+ q9 R: t$ _* o$ q% Z5 V: e
]
! X7 O7 G2 S6 v! _# I4 k3 u
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9 f0 G0 v# A& `. {. _1 pset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
- h6 T' T" m9 H
; N) T4 w" h2 |set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))4 b6 I+ W; e) V- v
;;将此次交易的记录加入到customer的trade-record-all中
- b4 M3 @( P8 H: Aend
2 c) M; [- F( U
8 x3 h( b* E0 }, S9 K3 f4 Uto update-local-reputation
( P6 v) o7 F. }# P% d0 c" iset [trade-record-one-len] of myself length [trade-record-one] of myself, R H. |( H$ G1 u5 h2 R
h K8 R& @ X
" G6 i( _6 `3 V$ Z- C/ J& n;;if [trade-record-one-len] of myself > 3 7 W1 h3 e4 d8 {5 N( I/ }# ~) Y
update-neighbor-total' ]+ g! a$ _; G8 c9 z( q" J
;;更新邻居节点的数目,在此进行- s, E! t. u+ @8 v
let i 3( Q# o/ _6 _8 z6 T
let sum-time 0 K# E, i& Z4 `! K3 a8 o
while[i < [trade-record-one-len] of myself] ~0 o2 T$ e' ~+ m: ^
[
6 ?. }! U( T- p; gset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
$ U! s k" J3 t) T% k3 xset i
# m( M3 n9 a$ [6 f }1 l2 U( i + 1)
& p: @+ }$ B) F7 w2 W]9 ?; _" f7 I1 u5 K
let j 30 S% J O" F% o* ]/ x# l2 z
let sum-money 0" k; x4 I5 T) C: N& R. \9 n* d: v( d
while[j < [trade-record-one-len] of myself]4 Q. G" F s0 w l1 J
[
: G2 N, a$ {9 v, 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). Y0 \; f9 M' Y5 g4 {* b# ?. {
set j R2 f0 p& [ k
( j + 1)
0 Z6 _, A5 B. p% J7 K1 k& L% F]
7 Y/ [/ x# {3 Tlet k 3
+ |. M6 S" z, K( ~$ L: [) L* H6 Jlet power 0
. i2 a5 X u4 zlet local 06 k$ f0 B2 F$ Y% n, \
while [k <[trade-record-one-len] of myself]
4 H8 Q/ b+ g+ M5 Y6 g3 u) K[2 ^8 `- m+ S/ e, Z
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)
( Z; e, @) i4 h! ], p2 X! \set k (k + 1)+ t8 |. f+ G" B/ c8 I. M! s" P$ }
]
% }2 M1 k/ n* M: tset [local-reputation] of myself (local)1 I2 D( K; Z/ M& G
end) @! d( J) {& w: K7 q
4 s- {( H" s% I
to update-neighbor-total4 i" ^9 d8 W5 J8 j5 \
* u5 \9 I/ L( y: }3 G% Vif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
5 Y0 u* U$ R! W: j _5 m# w6 o; Q! f
7 T) v3 J2 T; t$ e* w& n* Send3 j1 Z+ {6 f. }% }4 ?
' L7 i( C1 C3 O) A; m* B4 @4 c3 `$ Ato update-credibility-ijl - N0 @% j( y E/ r
, E, S" t' V3 t q( Y2 D;;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。- V! R, ]6 X# B" ^. Y
let l 0, y- g; c3 S- ?7 Y p
while[ l < people ]3 H- [: W7 O: V* m' T6 K! q. P
;;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
+ \ L8 j2 _9 O7 W3 M8 u7 J. |8 f[
. X" q: M# ~0 {4 K% I# Klet trade-record-one-j-l-len length item l ([trade-record-all] of customer)% Q- y, L' \. `
if (trade-record-one-j-l-len > 3)6 Q4 X0 K; M' I. W
[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$ }' u- z8 p7 w" C, n7 V3 g
let i 3
4 M5 J: ?( |! F2 c8 s7 Glet sum-time 0+ K$ B: \2 G( G( e5 p" G
while[i < trade-record-one-len]/ p/ h0 g4 i w! J0 e5 ~! Z- f6 f
[
: O* y& ^4 x! W$ L/ N2 L7 yset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )' u9 [0 z, Y2 t$ q4 C; w
set i3 L$ B/ i4 b5 z u& U% E
( i + 1)
0 |( f. A# u4 E9 _]/ W% y! s! G; L1 _( f" I! l2 X
let credibility-i-j-l 0 B C- o- s' J8 ^2 w
;;i评价(j对jl的评价)
' S* n( K6 d5 o8 plet j 3% K; ^) w5 i- e2 z& Z# }/ i, u
let k 4% r y* p! r, _$ A+ z( k) Y
while[j < trade-record-one-len], c. ?. A" P# H1 K" l
[4 t: S! e5 z' e( `/ L. P) [4 d5 {8 o
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1 J& s; i8 P, p; [( q7 X" ^/ 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)
2 c3 }) V/ D4 ~6 Cset j4 H* X( O, |( a1 S! F: L9 H& t7 }' h
( j + 1)
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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 )). x6 k& X* T# o8 h- @8 V8 N
- d/ j4 `" X4 ]7 x* f# d
" L4 }+ g7 y7 T5 Blet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
8 g, m( x1 K0 k# Y/ K;;及时更新i对l的评价质量的评价: t [, \, R" A# I/ h. M" B
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]( l7 u" r4 J* b- E6 K
set l (l + 1)
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, S/ b3 ]9 R/ U/ G! \" ], yend+ I7 U; K3 a, p$ Q
/ a- d- e- S& }$ O$ ^- ?- P9 L
to update-credibility-list
9 C0 j' B R W+ E5 N# v& r* llet i 0
) W7 O" |* j. zwhile[i < people]
' n" z! ~. i9 ^/ M* I4 x[
0 w/ ^+ V' @. Wlet j 0 x3 J& E6 ]+ @; Z# s
let note 0
5 U# u t+ u& G& \" v i) Alet k 0; `/ ^) `/ Q& d, B
;;计作出过评价的邻居节点的数目
. \* r, I% e3 V( v, l. z7 Gwhile[j < people]/ ]8 T. K5 Q# O. e4 e
[
; | g6 Z! T8 B- uif (item j( [credibility] of turtle (i + 1)) != -1)
& N! I# m. t4 v. r;;判断是否给本turtle的评价质量做出过评价的节点
1 C6 P. R& H( y6 d: w$ b: w[set note (note + item j ([credibility]of turtle (i + 1)))
' B2 s9 \. w$ Z" e+ H;;*(exp (-(people - 2)))/(people - 2))]- j, o2 d# |! V/ @
set k (k + 1)
. I$ n% L" p5 U( u j$ Y]/ R4 m/ |& r0 x; Z3 p. O" t
set j (j + 1)
7 P' R8 Y0 f* a* l- A: |: `]
; Q- A g8 k4 sset note (note *(exp (- (1 / k)))/ k)
( Q- V& c% R8 ^set credibility-list (replace-item i credibility-list note)$ m) L. Y1 r: h
set i (i + 1)
; [8 Z4 g/ i+ j- I2 e], ?, t! s! P. z- A/ s9 c$ \
end" F; C% g3 d" d# I# b7 m1 z- G
% Q. |' V8 K& z! \" w: gto update-global-reputation-list- b; B! J4 F1 M( y5 {& c
let j 0/ m# }: C7 F: h9 |" @
while[j < people]
: y7 i# m1 P2 z6 a* q[
' v; t4 a2 ? zlet new 0) h' g' `, k7 P0 E: ]
;;暂存新的一个全局声誉
& K6 r: d/ ]# [! t! G. Zlet i 01 n2 m/ x2 L+ W# p0 T" J W$ B
let sum-money 0& L6 l+ t8 D' [) ?
let credibility-money 0
& g4 h$ \) x; N! `( Pwhile [i < people]
8 J' j, B9 M. W" C/ d1 j, o7 S[1 `! Y8 c+ G* U8 ^5 q3 W# O9 ^
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
- \9 K4 C" N, H- r3 h4 p; j) @6 ~set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))8 i* a2 _- z, W; I6 T# g
set i (i + 1)
7 \! z! z% f; j0 \7 L+ c]- G+ E: l/ b7 B, e ?, Z' g: g
let k 0+ e& e+ V- W `3 Z
let new1 0
5 l' M- h' P, }; F3 @while [k < people]
9 Y* M. R9 z, ~0 N2 }; {[
* o4 D7 o$ }# s. p% Y( S6 r: ^3 Vset 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)* I/ W5 {4 k0 w( ~& F" Y a
set k (k + 1)+ [7 n# c2 I7 q( i
]% k# U. Q3 b$ J4 Z
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) - @5 w" {8 _) d0 h
set global-reputation-list (replace-item j global-reputation-list new)" H0 i; Q# Z2 z# N/ I# l: F3 m2 x
set j (j + 1)' u2 S( z$ N K, w
]
3 x1 P: p$ a+ d4 z2 K* A/ hend q0 A6 j5 W9 Y* {; \5 K
" y5 ~2 ~3 B7 d" }
; g' C" Z6 _, S& P$ m! C! G% q
: ~) O$ C) H4 h" A" p8 o: I( eto get-color
; H, L0 [) Z9 V# I9 A' } c
/ I+ K/ ` T2 tset color blue% }" |$ K. x' m/ \
end. l0 T/ L$ \2 C- F9 \
& J( S6 N7 }3 M( K" r% |3 _9 x
to poll-class w( ^( [/ i9 k V& j8 O/ S a
end! m! V( e2 m6 N7 A
I1 k$ u' P6 Y8 q/ y7 mto setup-plot1
1 g: s5 ~, B- m) _, w/ p, k& C
: n$ t6 ~( }3 j5 _0 aset-current-plot "Trends-of-Local-reputation"- u# T$ h! q# z1 z9 \6 q
8 b+ ?7 G; @7 m) W
set-plot-x-range 0 xmax
* _2 ^6 I) |7 ]& o [3 q7 x4 o+ |8 p: s$ k: n# Z$ |5 s
set-plot-y-range 0.0 ymax4 r( Z5 v0 h1 z" h
end
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to setup-plot2& B5 F+ {7 v, g+ M5 a+ p
h( r8 i8 @ n wset-current-plot "Trends-of-global-reputation"
* i c( W! b0 W; o8 i( v
* i# n8 z# r, fset-plot-x-range 0 xmax' s0 T/ V% }1 P" L' G* U
0 M* |3 U# e* tset-plot-y-range 0.0 ymax
" b) H: R% ~8 T/ G0 X* aend- ]& e" l# t, p+ L% C/ s
6 y' X6 d9 Q3 T/ p/ R" _& Qto setup-plot3; j( D+ W1 G% I+ M4 o; h7 J2 E# {9 Z
' N# ~6 _5 v. Y' S: m
set-current-plot "Trends-of-credibility"
: ]+ X0 T4 v$ W2 s. {8 i$ q% J5 l( p' w# d4 S, u5 \( |
set-plot-x-range 0 xmax
& I7 W; ~3 U& e% H M }6 l+ _3 b8 _' m3 Z. p1 D
set-plot-y-range 0.0 ymax. V/ M2 i. @' [3 U2 c
end
7 f' ]& ~+ [4 Y7 _. {0 S
e- O# u5 o7 R: C# M& S r& ito do-plots" g' `( i% L' P. X' A
set-current-plot "Trends-of-Local-reputation"
9 {3 f- d$ t1 |, K6 ~+ d' mset-current-plot-pen "Honest service"; J" y3 f7 Q5 ]- X# i$ I7 e
end. v4 G& G2 }0 e1 K) l
8 D, z3 S* F( r$ T- j[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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