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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
4 L* Y! U! n/ S0 J% j& a" Oglobals[
3 u ~. O8 H& L- F0 `* Y$ Oxmax
% D" i3 l# O' l: q& C) uymax& K, A) o/ @, i) w: \: |0 w5 H
global-reputation-list
% [+ a* K" F" q! U9 a9 _6 ]9 B7 J+ n3 K: U& v! W( n& o: f1 T) Y
;;每一个turtle的全局声誉都存在此LIST中+ Z% r2 d6 ]* r5 W0 g/ K; d
credibility-list
! O. x( e# d S9 s$ ~1 |;;每一个turtle的评价可信度
) i+ t% V/ I) t. e# {/ Q9 }' p( Ahonest-service2 i1 j9 s: @/ b( i4 L; M
unhonest-service
$ |: ?8 S6 v2 I: _3 Voscillation
, i5 _) } v0 [/ Lrand-dynamic
8 X1 G: r" z. K]
* {0 y6 W1 ?# d* T) I) y& R2 F) s* k7 [; v
turtles-own[& }0 O( g* Y( M' a
trade-record-all |+ g! G7 I0 P/ L- U
;;a list of lists,由trade-record-one组成0 w* M, p1 j0 ]+ g. U o
trade-record-one0 ]9 y: `2 F' w, k
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
/ y$ B- s: Y _7 u+ S* h$ n- S; S, q+ v9 L, u
;;[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 M8 H8 h1 B T! q$ Rtrade-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]
& v. A" g, P4 g( ]9 @8 W/ k! Qcredibility-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list8 z( j5 X& n( t) z* a. D/ Q( `
neighbor-total6 g: W) u% X. _- u# J
;;记录该turtle的邻居节点的数目
# s0 L! r. `2 ^/ H) vtrade-time2 e {' s9 e) w. [ x
;;当前发生交易的turtle的交易时间
* E( M& s1 b) R% G9 Happraise-give2 m& r7 C: c/ H
;;当前发生交易时给出的评价
+ K$ h- }; V0 ?/ ~6 @6 R$ W& A$ xappraise-receive
! _8 k w2 W: f A. S2 z5 y;;当前发生交易时收到的评价
" G& V+ g; g1 M3 z, ^: Gappraise-time1 e+ h ]$ \: K
;;当前发生交易时的评价时间
1 ?) d1 h% d0 m; {& |( J# w! Clocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
( X$ c7 @7 N ^: q0 ^' X! |: q* Etrade-times-total
% a& {- @: K. m3 l;;与当前turtle的交易总次数7 M6 q! x1 b" m) o; q& x) @4 d
trade-money-total
+ \& l* N' X/ X2 q: H" n; R;;与当前turtle的交易总金额
; U$ e: u. k6 r6 {# p t0 u; }$ _1 Xlocal-reputation
. L8 g$ Y& l& ~global-reputation
) c2 K7 f/ i i8 Fcredibility
: b! B# ~5 }% E) G8 h* \6 f;;评价可信度,每次交易后都需要更新9 T$ ^" r& h6 x8 z+ A# }
credibility-all9 d. u0 |& ^) f4 f# d' F
;;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
7 I3 c% @( b, m# y! u0 x5 [
+ h6 i. J7 k) ~& _;;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
4 C/ _- g' g, V G# I8 d) Y6 ccredibility-one/ [# R/ Y! j: \7 S" ~- 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1 i% ?8 \" w* W* i9 ^4 }& n- K# W4 ?
global-proportion: `! K6 K; I9 A4 y$ b' h' ?4 K4 S( c
customer6 n1 O- q, Z, [) ~! J' w- }
customer-no
+ R/ C' p' {% H9 P- ~: o, f# _$ mtrust-ok2 g& i5 a, ~! m( v
trade-record-one-len;;trade-record-one的长度/ t: e' A; f- O8 B
]
9 U0 m/ z6 u+ w0 z2 s+ I- E2 P4 b2 q7 v3 }1 S3 f1 t
;;setup procedure9 @! x/ b. e3 [5 w
* x1 m0 R$ N+ \# V, n( tto setup
. }7 W) m$ n& K; c3 t" O
9 E. G. I% v% P0 Y, A( i( Zca- N( A( M- w) }7 g
3 i3 w U8 a+ m' @! _
initialize-settings
) ]/ k" C% r6 x: {. p2 n/ u1 y- h; x& j+ s F& m
crt people [setup-turtles]) _" R2 x0 ?% Q4 _9 C# I
6 S- k" \$ I5 [+ n ]. k l- freset-timer
' o* P r) |) e1 p7 P, X
+ [$ G9 b; g$ i9 q( apoll-class
& f# j2 [4 C8 W& ]+ m4 t* h& |! _ D$ B4 a" `
setup-plots
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do-plots( G c( O# F- a# l
end
/ j5 m5 d- \# `6 ~$ _6 f# a. x; _& D
to initialize-settings
: @% g$ H- }" P" M `+ } i, T, q* a* }- j
set global-reputation-list []
1 v ~/ O4 o- [7 r6 e$ k: \
) K; k! t% l* X. }set credibility-list n-values people [0.5]
3 ^8 o& l& p: t4 y8 y$ h' H0 v& U% C% E$ ?) w
set honest-service 0. A+ ^: T/ T" E; Z0 I
0 c, \. ~2 |% O* {
set unhonest-service 0( U/ H! q1 l5 L
# Z) _2 c* H M, F8 H" e: e; j
set oscillation 04 R+ V2 r1 s7 Q- `9 a! t+ R' X# q
( q1 g7 Y/ V- B. S& G: s I
set rand-dynamic 0, Z9 F7 V; z* U* T* M( _+ d
end- d0 ^ t1 T3 g" ^0 W( c
' {: S. ]' k( @( T) Xto setup-turtles
- s4 D1 Q1 R1 y, [set shape "person"
: L; N" u6 U% E% N2 u/ Q% \setxy random-xcor random-ycor
e# s: `4 g. Y" B% H+ hset trade-record-one [] e8 w6 r4 [5 c! e" }8 \
! K- Y2 J: \% J. h
set trade-record-all n-values people [(list (? + 1) 0 0)]
- o O3 w- J/ {7 ]& x* @2 Q; P7 _) c& Z& V9 m1 q1 [
set trade-record-current []# w2 A* H& U6 ~! t
set credibility-receive []2 b9 b3 t! ]- _( D" i
set local-reputation 0.5
! @' k+ l- R0 \% i; @0 Aset neighbor-total 0* K( [/ }) c' |1 E
set trade-times-total 0
& r$ R+ x) M/ {; U% z* `set trade-money-total 0
7 K" f9 f* N# {+ m$ `+ A0 ^/ R; qset customer nobody) c' L# W- p8 U
set credibility-all n-values people [creat-credibility]
9 V9 @2 h2 q, T" `3 D Lset credibility n-values people [-1]% F# u/ i- x5 S/ ?0 X9 {
get-color
2 C/ M. }+ F {1 x
z/ H. k( q' F) s! m3 O3 ~end" }& p, [: R: {. c) k& d4 m9 H
) j* [6 m; _7 V3 @% uto-report creat-credibility9 S. f2 r1 f- b( U1 u
report n-values people [0.5]0 Z8 e {+ U4 ~0 v% _ |5 m/ P# \
end" Q( y/ n3 x( L7 c. r' U7 G. T
2 R2 v' N1 c) Y7 c$ F
to setup-plots- ^: U2 v7 T1 ?: @" C& k$ ] h- @
9 ~2 I; S0 u' x# P5 B" N2 Pset xmax 30
+ u2 M; d. {0 ~' I/ Y2 `- G$ c! [* F, b1 v5 n" G/ V
set ymax 1.02 ]% c' y/ v, l4 G0 J9 R
" N( X; J6 J$ B& o, \- H% [1 M5 C& Nclear-all-plots
* G; {! w- n; b: `( K/ J; A9 a
. a5 F. {$ n" U3 v, y0 Dsetup-plot1
4 W+ ^) @ M: C; V( u* _4 r( L& w
7 V3 g; U2 _: H0 {) v+ a4 `setup-plot2' `1 Q" C' ^3 m' P
8 `4 i# ? l) _$ i) N6 ^
setup-plot3
1 [! o( o' y$ J. X6 W+ [end2 R1 Z& c; P8 {3 n5 ]# r
$ A" X# t. c8 x, X;;run time procedures
/ s& |% k" l) x
, b, D* A# D) C9 V* W: t$ q& lto go
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ask turtles [do-business]# R# p4 v2 g9 y" ^/ b3 f
end/ g3 \& ~8 ^% d8 o+ K! z9 }3 z
3 r/ M& K+ d4 r+ ?* m0 W% wto do-business : v$ K. O( P, a) x$ O% [
$ K3 I! ~6 Q0 O
0 a0 W$ w3 z2 B2 x4 P! krt random 360
+ v2 _6 x7 }: v
7 W. P" o1 o$ a6 o: g4 F& X, b' qfd 1
, p5 I" o* g$ E6 X5 r0 O# j
3 ]# D7 Q' y/ J! \ X* ]' Uifelse(other turtles-here != nobody)[
/ h2 h/ C" L2 u! T' X4 g5 ]8 ~) v4 ?: E( m* H7 q% Z
set customer one-of other turtles-here
* \6 X& G7 O v9 Z" c. G; [4 Q! c) U* j
;; set [customer] of customer myself& b7 p ^' e8 T/ E
# H4 m9 L4 G% K# {) j* K! ~4 n5 C, ]set [trade-record-one] of self item (([who] of customer) - 1)/ X+ \+ z9 X Y' B) y9 Q2 w
[trade-record-all]of self
! Q. t4 t" [" v. Z" l$ ~6 C;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
. }' X& Y5 o3 {3 h$ r/ N3 g' q6 S x+ x- P) W$ N
set [trade-record-one] of customer item (([who] of self) - 1)# f/ K7 x! ^+ Y* z" _$ }7 c& l8 f
[trade-record-all]of customer
p5 K7 |' r; o o1 e) Q$ s5 |# c
! [3 J1 ^ Z( S; H5 Y( l' d5 C' A, Eset [trade-record-one-len] of self length [trade-record-one] of self; C; O$ b# a v
: E; F, ~+ `; \9 n! ]) r. Uset trade-record-current( list (timer) (random money-upper-limit))
0 s! T5 z' |. _& e
' F) h+ e4 g7 g# S: fask self [do-trust]) G, J" Y2 c; J. x, I9 h
;;先求i对j的信任度
3 m( h/ k8 W( k* b' L5 m2 E6 G, Z
: Q0 [' Q. a( q; e9 I% L) w6 U, i( Fif ([trust-ok] of self)
% b9 M* ]/ \' d. n* O( E;;根据i对j的信任度来决定是否与j进行交易[
; \* B( V3 V; H% U, u; i7 s3 task customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself5 u0 P& P( g$ v# _
0 ]3 X1 C9 a3 ]3 o# {+ F
[
7 A0 i( w6 L, R
5 Q+ h4 o1 Q+ D2 d$ Cdo-trade, L* K, T( K6 V( Q8 S8 N& p
- ]# d( P0 `4 t, }: t) Rupdate-credibility-ijl+ |8 O+ [' o2 X$ R! Z% T
0 Z3 z( T) ~" h. f& J, i* fupdate-credibility-list
) i4 p+ ? R+ b: {
2 w; D7 E$ { V9 v( ]
& ~6 P# o; h: b7 F7 Z$ Cupdate-global-reputation-list' ^! u3 h' [- H/ p
* G0 t' z# T1 lpoll-class
) U# e0 ]$ R; r8 d: Q/ l
: S* @. M1 |6 T2 r, d% Rget-color
4 T! H9 a- P, _
! ?0 A- ]( \3 R& \% c- C; L. ]]]
: F. ~8 T- ~# e# L, W
( H8 B1 {; T" h( u;;如果所得的信任度满足条件,则进行交易
4 S. Z% n, V0 z+ m' r/ k3 e
* M5 ]8 }8 `3 q" y! V[
1 k8 _ a. L% g5 @ ~( H
( l! k9 ^ I# h) Nrt random 360
5 P: G2 o* _* j- i3 ?) S# p1 W0 K& z6 Z6 C. r% `+ A7 K
fd 18 y4 ^+ Y6 W4 ]! M3 L0 G; M8 q
( m+ M+ O$ M6 |- W+ P+ }5 {( W1 u$ V]
# ^) C( `) w- L6 g; a1 l0 O. Z5 f, f
end5 |5 D6 l$ t/ O# v1 O1 N, R" G
2 a. K; V+ S: G* y+ V6 ?- ?to do-trust
/ A: \) F- l0 S) Eset trust-ok False
" C, Y, m: }2 m2 B! J! _+ n$ J
: M' E5 [* M' q2 b/ d* P% y: E( W% R$ D' X% C+ `/ K
let max-trade-times 0% r- u+ o! E3 F4 X9 ^% F8 e2 I: `
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
6 H: X% ^2 r& D9 @& s- Blet max-trade-money 0' V4 b' m5 r$ ]4 A/ E, K
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]1 F8 q3 H' I% O! c* q
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))/ E7 b/ ^# ~3 p; _8 r8 k
3 W H! ^$ A5 m9 I2 D, ?, z5 E& {5 p" J8 }2 q
get-global-proportion, W: c, \* _4 ~5 J
let trust-value$ r+ c2 Y9 H8 m% H
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)/ R! Y, O4 H G6 _) h1 E
if(trust-value > trade-trust-value)
" c6 n# ]/ s8 ^! j' b[set trust-ok true]
4 [, J- R$ ?/ G; A+ A& vend2 ]0 g9 L$ j) w! s ]0 r, G; O
2 o. [7 l( `" M7 s' l% T0 X& D- q
to get-global-proportion
, s$ ?( W0 h; E! P" g* aifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
6 C# I; u, _, |& z5 ?( D; l) D1 s[set global-proportion 0]5 }. _9 B/ k z
[let i 0
' d+ L0 f) X/ v( L3 S" L- Ulet sum-money 0 {. D: s; u N& h; `
while[ i < people]
4 t9 Y5 p9 @# ]# ^* `) ?[
+ V+ h/ l0 u/ e# M ]0 n; zif( length (item i' B" i( }$ U4 g
[trade-record-all] of customer) > 3 )
" m& | D1 s, B0 l( X k) L1 N[
2 E. L" s9 `2 p1 }set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
* N! h- _/ _0 j, f6 o]* Y3 e; J0 e& ~2 K% I
]
" D- T3 ^+ I# i9 r3 [. Z( Rlet j 0, m% G4 F& {2 a9 V
let note 0
5 C! y) u, t" ]4 U/ B/ Pwhile[ j < people]9 b2 ` {2 P6 U; [/ B
[, T/ ^% }) }7 ~. q, f: h! q
if( length (item i
9 n7 I" b& f& T0 J[trade-record-all] of customer) > 3 )
: @% p; @& a8 V: v- l[
* ^" R. `( U3 nifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
& j! l/ E0 P! L+ y[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
) m" M; C. c% {" w[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
7 E; f8 c2 z1 b' J( L* |) x. ?]
7 n! ^; O, B- R]
* S6 _/ m; V U* ~set global-proportion note
9 b5 _$ @5 w% [" m; ^$ l% p* K% I7 p]
! D0 a0 S+ A5 D+ a, |7 p7 Iend7 ?* m! f X6 G. }7 e- d
4 M% n1 e0 m! G5 v7 c/ c; V+ c# F
to do-trade
. p$ O! z5 _% U;;这个过程实际上是给双方作出评价的过程
. i: j, a5 I2 K7 ]set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价3 A8 Q- P% }0 w/ M, ?! U ?$ c
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价# u% v9 O' S6 b3 q. h$ Z! M
set trade-record-current lput(timer) trade-record-current
( q5 z' b% h) k% Y9 [8 B" K;;评价时间
# L: s" J, ]6 [& Xask myself [* o% y9 P: p" u6 {" K# ]. ?
update-local-reputation$ [& C6 U2 O7 J5 q, Y1 @
set trade-record-current lput([local-reputation] of myself) trade-record-current
8 D6 Q* i1 N3 z) \+ S]
6 V9 R. f; r8 N4 w. ~6 Y* ?4 \set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
8 b) r$ D1 N- R! h" i# Y% G;;将此次交易的记录加入到trade-record-one中
# }' @9 M. A0 |4 I, T& C8 f Pset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
% ]1 W, K5 M. ~% {3 i hlet note (item 2 trade-record-current )
: {# r1 y! O- ?- l8 E1 d. wset trade-record-current$ j* j. Z! X9 P. j, E* N+ U0 I
(replace-item 2 trade-record-current (item 3 trade-record-current))
Y. y/ o2 s9 C8 I7 b: rset trade-record-current
) A6 b& \3 b3 Z+ o% q5 \(replace-item 3 trade-record-current note)
9 X" X$ G$ _7 x1 R$ N( \% Z& C
0 N, c" M" V m3 k S, y2 d* ] o9 Z) l
ask customer [' w/ c6 V7 e* ^2 v; \( d0 C! o
update-local-reputation" A2 }1 K' |& Y; j# W: u( Y3 ]' f, T
set trade-record-current
* W7 e* r! Y# J( | ~ u(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
" }2 k0 P( |9 E9 v]
0 m8 T0 Y/ l" M# M, h. L. V" r; v: u
7 B/ r7 h' ]0 Z# Y* F5 D. J* ~; y. hset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer/ c6 r8 |6 k, \" S6 }6 C. e! f
2 l# K" ]6 i9 g" v
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
8 w( `8 X# b7 B9 W# _4 J;;将此次交易的记录加入到customer的trade-record-all中+ ]% H4 Z9 ?1 g1 ^4 `& f% W
end3 }/ [. f( ~0 m6 e" v
1 w, Y q( f: h4 M5 z
to update-local-reputation N5 ~9 c8 T+ E
set [trade-record-one-len] of myself length [trade-record-one] of myself
# m3 Q z3 h( p
3 D7 y9 y$ n5 D% b/ @$ N8 G
! f* U) Z }" X, T* N;;if [trade-record-one-len] of myself > 3 9 R4 k5 F, o% x1 J2 L, K8 R. p% @
update-neighbor-total3 f4 i7 V; R0 O- v8 [: s6 y
;;更新邻居节点的数目,在此进行6 Z# X4 c/ O1 U. J u5 d
let i 31 a- q& Q- Q" K; ]# p6 C
let sum-time 0" K0 k3 |5 o/ w n
while[i < [trade-record-one-len] of myself]. b* L& [7 h3 b2 Q
[
( K& ~9 {% N7 @3 _0 eset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
, N' ]( [/ ~; q qset i8 E) w' Q0 a5 \! M
( i + 1)6 n# Q" \8 ~" P: @. E( l
]
4 e& X1 b. l# w6 V* Nlet j 3
1 m" ?2 A9 c; y7 r2 x6 Klet sum-money 0
/ @# O0 r: T- j7 b) hwhile[j < [trade-record-one-len] of myself]: u4 X" C% y. v5 c
[
8 g* L! B7 i5 s7 e9 gset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
/ `4 p. J$ p, K2 r+ c8 m, S! }6 M) Kset j
X' U5 g2 F! [, F" ~! }2 D% S( j + 1)* n( t- B5 w# _! E
]2 G6 a! d( [# N* t# o* x5 Z, ?
let k 3: H# q) a% g9 t/ x: J
let power 0
+ C) A; N+ f& S1 Olet local 0
& {2 H6 |4 E9 l% i$ O& q8 Iwhile [k <[trade-record-one-len] of myself]
9 D) R c/ I/ F% i[
0 s# s: d6 E6 g3 Vset 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) $ a- X7 r8 V$ g% z
set k (k + 1), J' s4 D0 P4 [# t2 a
]
% Y% P! c8 T; D5 f6 d, Nset [local-reputation] of myself (local)5 z* |) t( z$ K! Y" d
end
$ N$ Z1 P6 b! E7 V) x; E8 [8 D, \& D1 U+ L! D: r8 q, z
to update-neighbor-total. t- w# j! ^4 {+ X8 \3 L$ O3 I
! P" z1 N# n+ c6 `* B l3 w9 A
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
! c5 K$ C9 x- k5 w1 _' X/ {: G' m/ i) d) a9 r" Y
& i9 k. |& \' W" K( b- d% _
end
6 l& B8 @! T& V6 }( Q7 ?% s/ W0 k# u4 ^. Z* \0 J/ q" \' k
to update-credibility-ijl 3 k N4 `9 A* B; I. n) a& y8 }
7 K- `3 s6 O/ H$ Z' Q, L, 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。( z7 V# I6 V6 O
let l 0' g2 s" v5 v7 s) q, z0 B2 f
while[ l < people ]" V% @; I9 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
7 r% U6 p( t- B- `. v4 I[
7 M: a! Q" h5 O: @0 {/ a) Clet trade-record-one-j-l-len length item l ([trade-record-all] of customer)
3 A8 i# A* P# e* t" m# Q) J8 Y2 J1 I, i8 Pif (trade-record-one-j-l-len > 3)
7 ]5 P/ @) F) g% F6 L1 n[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
: l: ^0 L) | b6 m' hlet i 3
# ?$ n; V& |* z$ U1 g2 }let sum-time 0. S4 w8 E6 u$ j% h4 a/ Q$ B. I. A, V/ N
while[i < trade-record-one-len]3 f+ o+ ^( P+ Z- v6 _
[
; A1 J! Z+ @8 h9 Zset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
; O) p: N, z% s7 Y yset i7 u- X( x0 M' V) b
( i + 1)
7 D: g2 j. E1 [; }( W$ Z1 g" s]
) I' G3 p# ?4 o9 B% V& wlet credibility-i-j-l 0# }1 i6 S3 X! {; |
;;i评价(j对jl的评价)8 [& P# K$ s) ^
let j 3
" N" [0 U% s: Q: b$ M' o$ I* [let k 48 Q3 i; V- h+ y; T2 E4 X% X2 B3 y
while[j < trade-record-one-len]/ p6 d& m+ [* V2 P+ o) c2 a
[
2 C2 v- r4 V" r9 k1 ^8 Z5 vwhile [((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
' |, @# A7 V/ _: l9 o, d8 `( Gset 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)) V/ E5 ~- J$ o) W8 N4 ?$ ~3 d' @
set j
8 t7 g9 d. T( U' q7 t% a$ U( j + 1)/ o7 C- T5 z! u f2 R8 Y
] C" _: O3 V1 H$ g L- _
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 ))
7 H9 n9 E) M3 c( x' U- ~
) l1 y( j2 \* e$ b0 m2 c
5 }# `3 O: ~) d' f0 Mlet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
( `8 M% s5 z: E$ X Q;;及时更新i对l的评价质量的评价4 o5 _4 A* S. l) Z7 o8 X7 J, Z
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]6 S9 Q: `% v W8 w4 e' |2 z- W
set l (l + 1) A" L x/ P5 {+ g$ J- I
]
6 d( E- M: k) m+ R7 R9 Fend" |0 [' @' b/ N( Y+ ?: d
; l2 Z! H2 }; x
to update-credibility-list# q0 `# P$ Z$ y' Q* r" r
let i 0
& n3 V; q) O$ n6 ?while[i < people]
& ^/ d$ r4 P- c" h& Z2 M3 k/ m3 q[. h _8 v# h. X. [
let j 0) [: j. J6 M! Z+ E5 K% x
let note 0
$ w4 u# b# P9 a; _. P+ R0 Llet k 09 E$ F1 P0 Z8 ?% t1 Q5 E; w2 \
;;计作出过评价的邻居节点的数目
' M0 }) f) ^& d$ ^1 ?while[j < people]
6 T4 U& R; E! _[
" r7 t5 S5 v6 ?4 w' ~/ Sif (item j( [credibility] of turtle (i + 1)) != -1)4 N9 q+ ]. z' K# C) H
;;判断是否给本turtle的评价质量做出过评价的节点
* A/ S4 a/ u+ w: v3 m( C[set note (note + item j ([credibility]of turtle (i + 1)))! s& K6 t' N! D
;;*(exp (-(people - 2)))/(people - 2))]
/ K- v7 F9 }6 y# P4 r6 w$ oset k (k + 1)& ^! R" U: M% w9 \8 p" [, W
]( ^- A$ E" t7 X* F7 x6 M
set j (j + 1)
6 ^8 d# c* H Z' p9 e]
# D! Q0 A& z ]5 B- u* S% ^set note (note *(exp (- (1 / k)))/ k)/ e4 R! V6 d3 c
set credibility-list (replace-item i credibility-list note)
0 W9 u, X4 Q6 H C8 _1 G0 V V2 rset i (i + 1); e/ P8 y, f3 p
]( f0 D" w* j% J- t) {. d! D6 M1 F
end' Y) Z5 T/ v0 w9 I
! g- ]. C v9 j$ ]
to update-global-reputation-list
" u" J( x9 E P7 j1 t [let j 0
) f; b5 M4 `1 V0 v7 t8 X; c* Owhile[j < people]7 r: r! C1 D& S T5 d' B& Y
[
2 n( y/ l+ M8 R) h$ L5 _( m! x# Glet new 0
. D/ k8 u$ U3 x2 h' x& D) ~;;暂存新的一个全局声誉) s% X8 R5 M* v8 W( [% q
let i 0! p% g( |) J& r* I* i8 c2 A
let sum-money 0
7 L5 ~$ ^2 e, B, A: M. klet credibility-money 0
$ a( n$ X8 A: a5 V- Fwhile [i < people]# k: S. R0 O3 ^2 H4 |
[1 k1 l9 p& K( q. T$ G/ A6 g% t. a
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
3 ?3 Y' @5 f9 ~set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))& }. C+ ?! J2 w7 ]5 y6 B1 ~% L
set i (i + 1)
' h _7 B' ]: e$ G; B]
, {+ k+ P8 ?8 Xlet k 0
' e0 c8 w7 I1 F3 nlet new1 0% a: m6 {/ ~% Q3 \4 B! M1 s( G
while [k < people]: o5 t( f' T% ?0 Q
[
0 N" Y6 L7 r( K) p2 R: S2 X' Tset 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)
# B+ u, |+ ?# I" @9 oset k (k + 1)8 l3 Z" y# k) `4 C
]
- |; D0 q: Y" Xset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) 8 W, z X8 }/ o' Z
set global-reputation-list (replace-item j global-reputation-list new)
# e1 c0 M) P, h3 q/ aset j (j + 1)
& y0 \: @$ N' P- K0 K) U; u0 ~0 p]& C$ a+ F! L( o. T ]. \' I
end
! |" h; Y) Y& B) r6 E3 D$ y e1 x$ T s0 |% S6 H9 W9 L; ^/ u1 o, U; q
5 a$ y! N8 y* Z% n7 C- i
0 Q% u8 L5 i# K- V8 Z% c# n) tto get-color
, B# s F& `% N8 m6 o
) E2 e# D* m6 e) {4 \set color blue9 d9 o/ H: ^1 i4 L# f& p
end/ U2 ?0 A( c2 O! I o
" U/ S. G, {+ Wto poll-class
( a0 c! d# K6 ?0 e& oend
. \# J @; T8 Y& x/ l0 l0 C2 T9 g- h- y3 C7 ^
to setup-plot13 K5 o! \1 f8 c- T e
& a( b5 f# l& F+ m) G
set-current-plot "Trends-of-Local-reputation", ^, M8 }( B1 ?; C
" m, U; q0 @& S+ q+ s* D2 }
set-plot-x-range 0 xmax
0 o$ F0 J2 e H D
$ | ^, e8 \5 _% j$ k" I; Jset-plot-y-range 0.0 ymax
4 R9 B& n% \$ F0 Z7 N* R7 s" b3 Yend w# O- f- d9 a0 d
1 Y4 E& \9 ~' r3 p( U, O' u
to setup-plot2* Y( V1 }* f. l' b0 x
7 ~, k' q5 V* k$ ?; @. y/ C5 l4 S( @% M6 s
set-current-plot "Trends-of-global-reputation") N5 u3 M2 D$ c) l% u3 Y
: e1 d' Z4 n( ?, s( r9 hset-plot-x-range 0 xmax) g1 `8 R9 v# `% }9 V7 u
) K: s: Y' S w6 h/ dset-plot-y-range 0.0 ymax
3 d- k: N4 \5 R: m* Z! ^8 G2 Y3 @end
" R5 b( @! N6 N. }4 T: S, Y$ c3 u i- G7 d8 d' }- l
to setup-plot36 D( l/ G# i+ L. _
9 V2 o; I0 O6 j3 X) x! V( Aset-current-plot "Trends-of-credibility"
9 E* N) Y$ R% _: \; G& \+ y1 k& X. v) P/ A* h6 e* V+ E
set-plot-x-range 0 xmax
' u7 g3 ~& O+ D" z7 j) t$ i" ?0 ^4 y+ u1 ~- B: y/ b
set-plot-y-range 0.0 ymax( ]# Z2 G' K8 b* I- k
end
- A5 i# M3 i2 K& \. u
8 B3 M- m( N, R! p2 bto do-plots/ A$ J: X' E9 p; ]4 u
set-current-plot "Trends-of-Local-reputation"
# x T8 o. C9 N0 z; w' Z" l: ~set-current-plot-pen "Honest service"2 M. h* h. J- ^. p, L9 a
end! r$ @' E7 p0 |; T) b# m
8 e9 I* ^& z% |- d: s
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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