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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3 E+ C5 w9 @* ]; X! Q5 m% N
globals[; n# v* n5 n6 P! ~! j# K# [
xmax
* x" ?7 w1 r y8 e! G* m" Pymax. O) n, B$ W, H
global-reputation-list2 a6 ~( x8 v2 J
# t: I/ y' J* _$ Z: n0 F* I;;每一个turtle的全局声誉都存在此LIST中
% F) k+ J( Y2 ~) r: p3 ^credibility-list
; t& r( q8 u3 g$ e5 F;;每一个turtle的评价可信度
+ i: p( b7 r* Q0 Q( p# L7 khonest-service
9 n0 r2 m M# S& |: Bunhonest-service
3 } O0 M7 V# {& Hoscillation5 H5 l- S7 ?/ Q: V
rand-dynamic
" ^3 d9 b1 c ?( }! M( G]
5 }! S h; a. ?4 A6 A8 j @0 @& I$ g; @
turtles-own[: Z, `5 p& W; z/ x- i
trade-record-all
/ e, A: N* c J: [1 o' g;;a list of lists,由trade-record-one组成4 H, a+ } ?. W+ J
trade-record-one/ `* y! I3 U( z( S) V! {) Z& v4 t( ~. t- V
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录) c) \6 q8 P( I
8 A3 h: R. b0 B+ a# {% D6 r
;;[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]]
# g+ y! _0 c9 i4 ~: @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]
8 I( L$ M3 V& }$ {) n9 `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list
) Q$ b U" i# ^% ^% L. P. Fneighbor-total( V- D8 M. e4 D6 x5 e3 P
;;记录该turtle的邻居节点的数目! ~; G, `+ r$ N" F
trade-time
' V- J' D U8 B) E;;当前发生交易的turtle的交易时间
* h8 ^; [ c& Y$ r8 }" O: V6 Aappraise-give
% o# l" ~$ \, c;;当前发生交易时给出的评价/ N! k$ h D6 E# q& p7 e. ]- L# H6 D! U
appraise-receive1 D" A1 H m1 c. j8 t4 L
;;当前发生交易时收到的评价+ n9 ?% E. l; ]8 a7 h
appraise-time, }" h+ {& y2 G' O1 n' |$ P
;;当前发生交易时的评价时间
/ O% G; [2 V- ?# V3 H$ [local-reputation-now;;此次交易后相对于对方turtle的局部声誉
0 i0 g9 x8 c2 C: M# Ktrade-times-total2 b8 B* Y$ {, @6 L8 y: ~2 L
;;与当前turtle的交易总次数
: S9 \2 @1 S, B! Ntrade-money-total
* b' b2 |0 @5 Y# E* D;;与当前turtle的交易总金额 n4 I2 K2 C, B9 |' P5 P
local-reputation
, Q9 B/ m0 `& S6 x3 d5 uglobal-reputation
2 m }9 v' g3 s9 g$ gcredibility
6 R8 C# h1 P+ Y+ ~;;评价可信度,每次交易后都需要更新; V7 b) \" N) E5 y
credibility-all
. k# l' P4 |; [& x( A;;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
, z( K& ^, S- @$ L" D2 }# e1 W! L7 F: v! }) R, I
;;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
; I4 c& v+ ]# g& s' Wcredibility-one2 A" @# ^6 ]0 e' p; a8 J
;;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) ^2 K5 C$ q' n7 Qglobal-proportion
" S7 J8 L# Y, E. s* }customer
% @) @; b3 U1 I8 r1 H4 ]9 wcustomer-no. ?7 m/ J; l- @/ L$ z9 {
trust-ok4 V* Q2 a# K4 Q0 B8 l
trade-record-one-len;;trade-record-one的长度
6 N8 K* e5 m$ f/ k8 W N, ?]
9 C( J; V8 `0 _8 h! I& l. q/ F4 Y3 y3 G% U) ?. I/ D" y
;;setup procedure' p: r7 Z" e0 v8 T( [) v+ G4 H
% M( U; E" h3 c8 ], {8 _to setup" ~ z0 }/ i9 S' t4 F) _) i5 ^
1 F6 m5 y7 {! `% vca
+ s9 `, }0 E3 K1 g f6 Z2 q4 f c4 ?( v' A& I
initialize-settings; C; e s9 m! x3 `2 E
) n0 U1 Q0 N; i# g& b) ]crt people [setup-turtles]
0 Z+ _3 c1 z( G6 J
; v4 }8 ]3 g+ e5 {% v* q* U6 [reset-timer2 ]9 P8 @/ B6 { i7 }, u9 }
' X( F5 G! L; v5 V
poll-class
& s. y B' l' E# m4 F+ u O. b. K9 }' [! C n
setup-plots+ Z" E" W" f+ D. `* ? P' Y
$ v+ `5 ] s2 j) k5 Q
do-plots' p: k' X8 p* w
end
9 |) X2 v! @% T4 P! h
6 R- Y* @' e4 j6 Pto initialize-settings
! i6 a `) p" S0 _$ k% r1 K* [+ H2 ~
) b8 r7 c; s' }) b, O, oset global-reputation-list []$ g/ v$ d9 n7 @, e3 ~
" B5 v- n" F' [, C- J; H, M" Fset credibility-list n-values people [0.5]2 D9 n$ A8 L8 X1 J8 Z3 Q
0 S. a: }" h& a$ a0 [8 {9 _set honest-service 0+ m) u% F9 g: N. g
3 S: u( K; q7 k/ F+ i
set unhonest-service 0
% M8 _# p! W( t( s) H
, Q1 a; g3 @) [' G* |set oscillation 0
Q7 w. I6 N b8 O& ^0 H: }1 e# q, \1 X
5 A2 N; m5 F B' Eset rand-dynamic 0+ P0 k8 R- m/ J
end
" g' ^, M; b- z- k" u7 `
3 T O: h1 A7 D8 d8 G, w4 a9 ]; Xto setup-turtles
G& H5 Y6 ?2 T9 R0 e3 Oset shape "person"! A* o/ j$ L& C# J- Y+ v \
setxy random-xcor random-ycor
2 J; j6 E; A' ?* S7 F3 }$ y4 t/ F* ]+ Iset trade-record-one []! Q Y0 T1 ~; z
) o/ @: j) T, j g/ C! s; @- ?
set trade-record-all n-values people [(list (? + 1) 0 0)] ; |1 F5 R- ~& ?* V* w( r0 Z
5 C% D! K2 c7 ^2 F( m4 O+ x
set trade-record-current []! w0 I) b0 r- v# p
set credibility-receive []) x" A2 b G: \! t5 _
set local-reputation 0.5% K4 x7 k5 `* i* z+ X- T1 s
set neighbor-total 0
2 b1 \. ^7 M! n: Rset trade-times-total 0& Y+ e* W6 g! P% E: o# v
set trade-money-total 0/ S1 G2 u& p: {/ ?
set customer nobody
8 e- X( |+ s3 L) P# Gset credibility-all n-values people [creat-credibility]
, [- U5 s% X% a* G! e+ fset credibility n-values people [-1]
' g: |8 K) O) s- ?" nget-color( V+ H( J% d/ C6 `
& G( r$ ~7 L1 l0 X
end# z% ~/ t2 R6 {6 l
4 G* J* B7 z2 t2 n- L1 I: s1 I6 hto-report creat-credibility* E& j& [) S* B: m. Z
report n-values people [0.5]: ]5 ^4 L* N t1 v$ {
end
$ \% A# B4 T/ p3 \
; W* e: @0 R. ? ^7 xto setup-plots- K; ~$ Y7 y+ l5 p. l+ g
: v* y2 S& K+ t |' R) w3 S3 O( R
set xmax 30
- r# Q& r, W% Z: m8 P' g" L( u
8 s f: H/ P% i1 D- ^set ymax 1.0, N4 {, f1 g4 f* b5 X
, F+ ?6 x) \" r% ^4 g
clear-all-plots9 ]2 u, m: v* O5 V: W3 b1 n: r* ]
! c. y+ _" ?9 X. osetup-plot1
* d6 Q8 b7 A% _7 b8 [- y; ]4 c/ J* h3 H) \! }$ `& c
setup-plot29 F+ M& {& K* y! j. S: n
& J7 K3 ^, B; g* V! H
setup-plot3
9 r# j$ w9 o; j0 o/ T" Y Q. Gend
4 a! a! e6 J! }+ a* o7 Q- Z, s' |8 @4 ^
;;run time procedures
/ L, {- F8 D2 f b3 u7 }+ }! \2 f; O- v0 e& t* ?
to go: A, Q% s- r+ h$ i7 A
- r0 r) B3 M. z4 h0 o
ask turtles [do-business]
1 \# a9 D2 z/ x* cend
$ o; M/ P9 o; Z6 c i
' `, b/ ]3 d: V2 E+ m5 C7 Jto do-business $ z, J3 E4 x2 W3 h ~/ S
; M3 \% F1 k, q7 y% i
, w7 C* ?+ w5 C f2 N) E3 b7 I7 ]7 prt random 360% g C! z4 v$ y# Y' V
9 E1 q, i: f! j$ T7 f7 d- z' A* e
fd 1
0 q2 v" G F" k' [ f& t2 s$ y1 l& w" @3 v2 [; t5 D
ifelse(other turtles-here != nobody)[2 \) `! E- O( w/ r6 l9 I
! K" O/ s1 w/ f& i6 O
set customer one-of other turtles-here6 i/ ~) Z. R" J8 n, {# d" v1 l5 i
0 m# a s. H1 Q' D# b;; set [customer] of customer myself
$ N& N' \4 f/ Q, a7 L7 R5 k+ F& k7 B, S8 s
set [trade-record-one] of self item (([who] of customer) - 1)
1 U' \# R3 Y$ k/ l7 L[trade-record-all]of self+ _4 v' N3 k8 K0 Z
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self. {, F% L5 n# ]) y ~$ b3 A9 O
% `( F: \$ q) ~& N {
set [trade-record-one] of customer item (([who] of self) - 1)
/ j/ o" [2 j: J/ f6 p G- ~[trade-record-all]of customer
) @: F4 _4 y& J. e$ B# K" X/ @9 O
set [trade-record-one-len] of self length [trade-record-one] of self
' `0 X9 w0 C) w. r, w5 m: c# {/ H6 K& _; |+ ], m" v% [
set trade-record-current( list (timer) (random money-upper-limit))
2 _$ T: I! W$ B j7 c; h% v0 a: `6 C' _0 C8 C" x+ ~
ask self [do-trust]- j8 S, Y& ~6 F. L$ U- d6 Q
;;先求i对j的信任度; K# D; p( T8 X/ U9 t# I" \' N
' T, C, k% ]2 R& `if ([trust-ok] of self)
% G/ z3 G+ g, Q! F& };;根据i对j的信任度来决定是否与j进行交易[
i6 G& D0 d! O& J$ _! {& J, Sask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
! |8 m# _% K) u- Z H: ^. F3 m) Q* g; M, W$ ^9 I, o) e/ q
[9 t' a' R Y: d( H
+ G; t q) K( x7 [; Vdo-trade& J7 P; U) S3 u( g& d
% r9 ]7 J( P0 H {# {
update-credibility-ijl
& V) U" P+ Q: e" s9 J: V
0 {) h# \9 F2 v8 v: V0 M2 mupdate-credibility-list! H7 N( h O& e/ y* U1 @
0 e6 D6 l8 z6 S0 u/ X! V
2 a' {+ A5 I Lupdate-global-reputation-list
( M% W) R. w1 m- z9 f" |
$ J K$ b$ }1 c3 d+ ^0 k: N: spoll-class
/ W, _& c* J, f6 i
* W5 t4 e6 [7 Oget-color6 j( I" f( @* @( u
4 f9 T3 S7 N1 k+ @9 M" q
]]3 m' S, [" m" N( p" ?. y
" M. a; ^; y$ ?" A' ]/ o# C;;如果所得的信任度满足条件,则进行交易" Y9 |) y1 c; q G, _$ M- ~- e
% ?) j/ f$ M( m* @
[
/ L$ o4 Q# n |3 D1 H7 X o9 l9 W; a
rt random 360/ W$ D" w: S$ M
& f8 t" n% H6 f; S' G
fd 1, u Z3 C; H5 E
. A# W. s l" z O]
' g7 I/ N4 X) i2 b+ Y, q5 `
( _& {/ |, T) V/ h3 B* k! j8 uend8 e2 z' _6 x4 }# F* F+ ~
. N+ o9 j! H& ]( T1 o4 c
to do-trust
& _4 e" ~! ~. n) O3 I+ H/ K# Zset trust-ok False4 F+ N: U' z. E( q/ ^) T$ l, U3 E$ s
( ]+ @. C! _8 @, O: I& u& R6 Q% ]+ U; M r; c- Z
let max-trade-times 0
+ b Q+ k+ B# d& [9 l; C1 bforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
+ {' M0 q4 H: V$ h" o$ @4 llet max-trade-money 04 T H8 F+ a: {. p/ Y
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
9 E/ R9 v7 ]) a! m5 I( Alet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
$ j) d0 v( \$ z4 H6 A& x& {
- H/ B l0 f5 w, O+ N9 Z6 z5 s$ u+ }# T5 N* o/ h
get-global-proportion
1 y4 x: q) B5 C8 Z9 [+ F1 u9 Elet trust-value! E+ h7 {! g% [1 D9 o
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)
3 @7 ?$ N; Z: x% c. H# e* fif(trust-value > trade-trust-value). c/ S' v3 m4 A
[set trust-ok true]
3 _+ y8 ?# ? @ k- Dend5 _1 N- U2 y- S* X: ^" C) z% `/ m) @
% e: k3 L( |$ J# r8 Qto get-global-proportion
6 F" g2 P; Y, p9 Bifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3), n6 M$ k7 G1 v! t
[set global-proportion 0]4 V$ M. s% ^0 z3 G
[let i 0$ \+ E$ Y. c/ T! \6 w* _3 c
let sum-money 01 H9 g+ f' e) T6 A5 \6 d: ^
while[ i < people]
' e. `) J f; s, [$ I: {[
, A/ ?& a- n5 a( T3 ]2 r" Rif( length (item i- k! Q2 z+ H! o# O% ^
[trade-record-all] of customer) > 3 )
- h; j' P* \ Z[
3 S' L. `6 [) @4 @; D% \% ]3 `. x9 X5 Qset sum-money (sum-money + item 2(item i [trade-record-all] of myself)): T' C' U( B' Q3 h3 X+ W) x8 M# [3 i; w
]: F+ P! o, T8 N/ n3 q8 \
]
: k- r& {8 `, \& y- X/ \let j 0( L& V8 S' c, p
let note 0) G2 F/ C; ~* m, j
while[ j < people]
) G4 e0 y0 ~. V[
) d, z9 F6 t% j; _( aif( length (item i% m6 b0 B" t' Z) T
[trade-record-all] of customer) > 3 )
2 L- ]% ]8 T1 t3 o; u$ q; g[+ T7 k3 Z. U: v! V; u( _1 |( k% I
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)3 c" ?! i9 b) a) c
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
1 o& i: f0 v( u/ |[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
# F( K3 w$ j3 o6 g# i! v] y- Y! K6 }8 y, Y5 a
]
. _/ _7 h" W9 N. F( C; l$ D8 x) zset global-proportion note) p& }0 x, Z5 G2 ~ g
]& P, w6 G6 T6 S/ K, B' `$ O
end
. {2 I1 y+ \. E- e3 r9 V
- ]1 I2 M( ^2 o! P5 C; g) qto do-trade; E' L5 R$ G/ k9 s& A9 `5 g
;;这个过程实际上是给双方作出评价的过程
+ ]- P6 p. ~! L' M- w& ?set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价: s6 T O% ?& U: w- I" F6 J
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
* n4 Y$ `% L2 u& R# H# i0 rset trade-record-current lput(timer) trade-record-current
# y# q+ [) c; Y; y;;评价时间 `1 _6 o: b* ~3 i' j
ask myself [
/ T5 ~0 D9 _3 x7 A" X2 Pupdate-local-reputation
P# t* L8 m* Z) _set trade-record-current lput([local-reputation] of myself) trade-record-current
4 P; q% n f( ^. ^) G5 R7 S]: T& `5 W; v0 E8 b& A6 \
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself* a1 I- k% H) w: u2 L1 D
;;将此次交易的记录加入到trade-record-one中3 k) k0 H/ g0 G1 o
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself). Y4 T B* h0 B! y+ c
let note (item 2 trade-record-current )8 [! u5 I! u: f2 f
set trade-record-current' @/ Q6 @# [ L/ B/ p+ {
(replace-item 2 trade-record-current (item 3 trade-record-current))/ ]% [1 i! L6 T1 _
set trade-record-current# H6 a- b0 q4 y/ S' ?( x; o9 o
(replace-item 3 trade-record-current note)! f% y+ T& o! O% n" h7 \5 _9 A/ n" }
' {/ M4 u# ?8 W
. T3 B3 t/ f- \$ J1 Xask customer [
/ T3 n% b( p* O% e6 o$ A7 mupdate-local-reputation
6 `5 r- z) h- K2 I. Pset trade-record-current0 h# i: t+ z) R2 M. H- v
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) ' f' l9 P- v- u: z @1 ]' K
]2 P% W _# h9 j& @1 o. S' ~0 c9 J: p
: u$ I- R0 Z4 X7 n2 }9 T5 O5 R( v" |9 _2 Y9 P: q& y
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
% z) b" R9 F) v6 Q- B
2 H: I8 z" N9 {set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
4 m2 [8 j1 m3 }- h* W;;将此次交易的记录加入到customer的trade-record-all中
, P3 l$ A4 g, h* X' i6 Gend
6 y# Z% K9 s! e( {* ?1 C( N/ k/ K* ?$ u; |$ _9 q
to update-local-reputation4 H9 y( r2 Q n* C' e- n
set [trade-record-one-len] of myself length [trade-record-one] of myself- c# P2 p' i1 G% |
9 t- `5 d: [% `" |" @7 r- k! [; b* w/ T- _% a3 V9 C) ~# C. K
;;if [trade-record-one-len] of myself > 3
5 q- U7 ~+ @# r7 V; P4 fupdate-neighbor-total7 f, K$ d8 ?. k' E. q
;;更新邻居节点的数目,在此进行
2 T0 U( l+ P7 Z6 i# K0 p9 i& klet i 3
8 ^3 a1 z. D0 {6 J3 Glet sum-time 08 C3 ?1 R. }; x# p9 ]$ D- x2 S
while[i < [trade-record-one-len] of myself]7 q# J4 E& F# x2 D9 w! a
[/ q/ P, P l$ {0 g# L6 V9 G; {
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )4 D" j4 [( Z# b, {: y- d3 Q8 j- d5 x
set i
/ F: D( @# s/ K8 U$ a( i + 1)
2 I, R* S- E& b. h. w. O]: d U6 p. }' o
let j 37 d. w. ^ c* U9 {
let sum-money 0$ R% U3 e/ S. o3 z# B3 c, b9 s
while[j < [trade-record-one-len] of myself]
* c" i/ S" Y+ s5 o! m[" D8 W# K7 Q1 v( a
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)3 S0 ^) X( ]$ e
set j
6 ~7 m' d1 ]4 k' |# ` W( j + 1)
% D: P1 x1 c; t; s2 J]2 z! X. Q+ ?3 v, J' C% N. |( k
let k 3# }8 w: R" Y) V
let power 0, j2 R! X) C: {9 ?2 f
let local 0
5 \6 @, B( ?( O% o" H Pwhile [k <[trade-record-one-len] of myself]
& P# t& Y0 k; f[1 z* D1 y) d) l0 e0 |$ w6 {, D
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) 5 Y# ~, C! Y! s) b0 _* F
set k (k + 1)
6 u# D) t5 B- E# ^8 H$ [# U] `+ b% L! O W6 U) o& M/ f" j
set [local-reputation] of myself (local)1 D5 f! b5 O7 A8 s9 K7 G* F6 g
end+ V4 i' h. H* g! P
0 ]0 C4 x% D6 \9 X) w6 wto update-neighbor-total
( F5 F* t* ], N6 c8 |9 A
: S+ t ~: B+ b. sif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]! a- g' N V3 ~. @
3 w7 Y# v% U% [* g: u7 t: d
6 V: X5 H4 R$ h* n7 c$ \" H6 g Yend' H2 p( |, s* c, z' l# A7 a
+ X* b3 m. }2 e, R+ C p {to update-credibility-ijl 5 Z/ ]1 s; u) F% ^
0 ?4 Z3 m7 \, \
;;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。/ s0 Z& W b3 B, C- W, b% P
let l 09 b* S8 h9 B' |2 e- _ d
while[ l < people ]
& ^ X8 r/ J5 {+ M0 Y& b+ b;;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
! w/ ^9 }" ^7 H% _) n6 R6 G) i2 M[
6 x7 v( _9 T/ V0 [let trade-record-one-j-l-len length item l ([trade-record-all] of customer)1 e1 ?2 e& v! b7 K# W6 w9 h
if (trade-record-one-j-l-len > 3)& Y: R& |) W! z- m8 B( t/ M p- b) 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-one( o; F* B$ ^& ? G4 ]% n2 ?8 K4 ^
let i 3/ f/ \3 G# t; d8 R. J
let sum-time 0
: S" V. p, i$ a; j) C! Nwhile[i < trade-record-one-len]% n" [( b2 k% k! q7 F7 \- X$ Z
[: ` [) x. L. }& q, l
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
6 J0 c: C9 {) _* Gset i b- R! X& x: j
( i + 1)
3 P0 r1 F5 g4 H3 J! |: X# s]
, j, m$ ~- f# c! z5 c; elet credibility-i-j-l 0
' M( w8 {/ g: t% ~# m6 g;;i评价(j对jl的评价)
: @0 l. i% }5 j) n9 F ~let j 3* E/ X9 s& h5 f
let k 4
0 \% S) R5 B& J3 X- v5 xwhile[j < trade-record-one-len]
: l7 w' C- y* M3 ?( K8 e[7 [# m* A7 g, ~( r
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
* ^2 ^. x: ~) `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)
9 A. ]2 {8 l2 i4 u/ {1 Q9 kset j7 |$ q1 ^! E* J' B# n
( j + 1)9 ^8 }% i& e" E& |4 V. Y
]( j* ?; `6 [. y+ ~# 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 ))
! m4 X2 ~* x+ m4 H( C. B* A
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let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))9 i! C7 _9 N* ~
;;及时更新i对l的评价质量的评价( | L4 U6 F) m2 H# Y
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]1 i: {4 A8 `: h# z, N I+ |
set l (l + 1)
2 j4 v( v t9 g; a9 Z8 Q9 ^& l* A]" e$ J; U& s# v$ I
end
$ U6 t4 H- E: J( v0 c3 h; \+ c6 t4 g( c) Q9 ?0 d! ]: w0 G
to update-credibility-list! C: c3 g2 Q8 A" t
let i 0
0 J& N! W8 _! m1 x. Twhile[i < people]9 q& W* X! b: I* f9 _2 V1 W" w
[
- J& E2 t/ h# V2 L) ulet j 06 R5 A/ E+ b) a/ b+ \
let note 0* B1 O4 M3 F: e) U$ D4 A' P
let k 0
6 N3 _. y0 N+ a G8 _! }( q;;计作出过评价的邻居节点的数目: f& B- u+ B/ r* b$ ]; p- h4 W
while[j < people]
d; q) N/ W: W0 M9 T% Z- V! G$ |[" _0 G3 v2 \9 f" R3 X3 X
if (item j( [credibility] of turtle (i + 1)) != -1); t% L+ F d$ _ @1 ]' [
;;判断是否给本turtle的评价质量做出过评价的节点3 M( Q7 p( S o4 H8 U
[set note (note + item j ([credibility]of turtle (i + 1))): L% k: K: \3 Z g' g. [9 ?- _* }
;;*(exp (-(people - 2)))/(people - 2))]
$ M" z; p' {5 M- L$ Hset k (k + 1). _, W. r, {' S& l3 } p
]
6 r+ e. C7 L$ o" g2 [2 Vset j (j + 1)
/ H( a- Q4 w6 c]
/ b+ L) E; Z* pset note (note *(exp (- (1 / k)))/ k)/ n! U: h& k0 F0 [3 P
set credibility-list (replace-item i credibility-list note)) v" f; n9 K- p, w; n {: j
set i (i + 1)
( `+ `0 x+ }+ `5 g]
0 h: H( B2 y2 N+ K6 mend
& n) _ m! G% H; h2 \8 W" [) P, ]4 b" E7 P
to update-global-reputation-list7 M* d% i- t8 n. \: K- u
let j 0
+ N( D- O- y1 A* wwhile[j < people]
# D, l' {* S) J( W9 L, K[
# e5 K: o, c! w( V/ W8 q0 E5 i! jlet new 02 G, K: z w9 `4 S* }( k
;;暂存新的一个全局声誉7 x8 H0 Z; w" E4 Y3 ]- z
let i 04 u: v6 o4 z& }- S- R
let sum-money 0) I# D4 d" W7 ~0 k3 Z" e
let credibility-money 0$ ?: M; u! ~( [1 b
while [i < people]
4 S1 `+ u0 C; }4 d, ?: F6 e% b[1 F6 N) _* p" n( J7 h; x
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
4 |8 J8 }4 k& E% |# A! ~1 Sset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
* U% p( N+ d/ q6 M) M1 p9 gset i (i + 1)
% b8 |0 C% n9 }6 K3 \8 R]# Y) |# p8 }- i& o: M
let k 0/ o+ O( Q. O X O8 |( u
let new1 08 w* s* C( F3 d t
while [k < people]
, X ^; S3 U1 w6 y$ }[
2 u& L+ d/ ~' q( C1 Hset 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)$ E$ i0 r T( K2 p
set k (k + 1)( `! G9 T8 F: M! R0 u
]4 }1 v+ D3 e" H2 o) [
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) - N* `: s) x# p
set global-reputation-list (replace-item j global-reputation-list new)! b) G, L5 N( q7 y
set j (j + 1)3 h9 S8 {; H! p8 ?* D1 @
]/ N& R3 K8 O2 @# R4 n+ R9 S
end: T! U9 w; J; T3 O
+ E9 f. S# h' H4 Y! U3 y8 O9 M5 J$ h) m/ w
6 M$ J/ k1 ?7 f$ V( Lto get-color$ H3 u2 Y) n4 Z; B: J! Y# d& D; u
$ ^. {' n5 ~1 lset color blue: H! `0 t. O$ }. J3 \5 b3 Y5 {
end9 i6 h0 l; U3 Z. }4 ^# R. H
$ N' N& i6 h' ^7 @& T, Eto poll-class. c( n+ S; V7 H. l$ _4 }
end5 z; |! K! W; y% {4 q5 ?
( ~: }7 j6 {* I9 |, O0 B5 s
to setup-plot1. ?3 D: i, b9 e, z1 v. Q
, c$ |3 K X! k1 r8 iset-current-plot "Trends-of-Local-reputation"
+ f2 e3 f, O- t' l) v+ v( {- W2 _# c- s$ M; t7 U5 R: Z
set-plot-x-range 0 xmax& U! e8 r& {1 J" Z
) l9 E5 w/ U; V ^& |9 L
set-plot-y-range 0.0 ymax# f; K. R* R' a8 B( g& F& [4 ?' o
end! Z$ i0 i8 s; @0 M' P$ o
5 G8 v& n( p8 v+ } e, l- b/ N/ q, a! lto setup-plot2
# L5 J6 a/ U; T" t" t9 q: F' \+ D+ k. j5 J
set-current-plot "Trends-of-global-reputation"* w2 ~8 p! c* Q/ k- `7 h
* o" L6 _* }& u
set-plot-x-range 0 xmax
) F# Y9 ?8 T9 R4 d7 M! \: ~- `
" {" D$ a v5 O) t8 L1 Tset-plot-y-range 0.0 ymax7 p! [, Z+ |8 n% j# G7 ^
end! j) T2 G0 ^+ |
( ]$ X5 n& @( M" Z: gto setup-plot3, ?3 e' {) _) g! d
! d* U) l5 Q: Y" j( m7 h& t* f7 C
set-current-plot "Trends-of-credibility"
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set-plot-x-range 0 xmax* ?" m7 V7 Z% _) }# O! q1 q
4 `* B7 F! `8 H0 f4 O
set-plot-y-range 0.0 ymax# g4 Y/ c. K4 f/ F7 w0 E; A
end' [' K% }# p Q9 m3 u) }7 z% X
7 P6 Q" e) j3 m- p1 m* F i2 l
to do-plots& b+ _/ Y1 _* d
set-current-plot "Trends-of-Local-reputation"
6 `- N5 x- j9 r0 Z8 s6 V4 E( [set-current-plot-pen "Honest service"
! n* _3 F; [% p0 iend
& l# @( j8 t+ N5 Y6 o8 M" O
2 j, y4 H) f$ m4 C- R3 a[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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