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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1 N) r( O6 ^6 U1 S% H2 F) c
globals[
, H8 l* t; {: Rxmax
2 k# b. `* l( zymax
3 r3 S- N' Z$ {1 W- c: }. X; Vglobal-reputation-list& b! I" V2 ]5 l. k
8 x& i7 a& Z' ]3 T) a
;;每一个turtle的全局声誉都存在此LIST中5 m% j0 q: k; g# ^0 z: j
credibility-list, a# D, o! M6 j3 g# W) T
;;每一个turtle的评价可信度5 a( k, ^; w5 f- {! K
honest-service% U" v, b$ n* Q
unhonest-service
& ~6 m% y% x3 T6 z$ ?9 t) [oscillation3 d1 j" g# ]! b! K; u" I
rand-dynamic
0 J) |/ j! R2 D' R g]
! F: ~2 R, C, Z6 ~
% D @4 Q$ z0 P( [6 b3 z' Wturtles-own[
( j0 }! x4 x0 v# Q8 ?9 Ktrade-record-all1 e: c. O/ {2 P( `5 q5 J% }
;;a list of lists,由trade-record-one组成
& T3 Y2 n! N5 @; Q1 g& q, itrade-record-one* u5 c; e! y3 G" q! e! S9 a% k& j; m
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
( l5 E' p6 B/ D- y, L. }8 z2 K$ l: ^. G5 X+ t 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]]
& n b6 H0 w+ G. x) Ttrade-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]$ F) H ?/ {: K& F+ E: f
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% j8 d; s. B" \4 [7 L8 F2 z
neighbor-total
$ C' g3 e* o( x' h- F;;记录该turtle的邻居节点的数目
3 E" V1 `4 x ptrade-time
- ~& F' K( |8 U8 W7 i: u# _: R6 l;;当前发生交易的turtle的交易时间
! m& R$ h( p' u. e. J' n7 R7 g2 happraise-give
( C8 \7 i* Y$ F;;当前发生交易时给出的评价
3 Y' u( F! n7 _9 `4 j* j ^1 L4 rappraise-receive
! H0 U4 C; c: J9 c9 U;;当前发生交易时收到的评价$ @* B% W+ e+ E0 K
appraise-time
: c& I; [) \ v# M- E" K;;当前发生交易时的评价时间0 i c E0 M* d7 X7 u3 m6 Q
local-reputation-now;;此次交易后相对于对方turtle的局部声誉! ] i/ v+ @5 h" c" \
trade-times-total1 y8 n" a' P0 p
;;与当前turtle的交易总次数) }8 V7 \5 C2 [9 g. Q
trade-money-total; `8 y, B1 a: Q6 _/ j5 Q2 }- K
;;与当前turtle的交易总金额! D: Z6 Q0 i4 |, d
local-reputation/ ^7 i& T6 u* m9 y. d) F# c2 B" _
global-reputation
2 r" c! X3 S9 b+ D8 f7 Mcredibility3 t/ j; B' d; ~& E: X" V
;;评价可信度,每次交易后都需要更新0 C! y( Z$ i; ?8 ?' K3 F1 w
credibility-all) |5 J: d$ e$ P2 S
;;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 X" T- D: J' ?0 V: X- e# ~8 v1 X B5 L* K8 R. C
;;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% ^7 T2 X( J9 \: E% z6 i$ ?
credibility-one
6 E% l% e; y- s9 Y% Q; H;;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
: X5 p# j9 m5 z( cglobal-proportion7 W" B. F$ _0 b" l0 e6 V b& r
customer
. @1 @" G0 f( `9 a. M; \$ fcustomer-no. R+ `: m) N$ d. z8 ]
trust-ok
3 o! G$ L& `3 \' Z5 atrade-record-one-len;;trade-record-one的长度0 t( }- d; P( d2 m u5 |# {8 A& m
]5 N7 q0 L+ k9 z3 Q$ D
/ G* V& r) C4 J" G% F* N, d' b
;;setup procedure
; s: @" p) X+ S* A( s
& p/ ~1 l8 l$ X, jto setup
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2 r% E8 ?% e# ^' uca
7 `- @3 E: S" ]" Q
. B( f3 h$ M# G0 hinitialize-settings$ i7 q6 L! ^8 M& [+ D
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crt people [setup-turtles]2 M- W+ u% X1 q2 Y F% L
b7 A+ R5 E4 k% T( ^reset-timer) D2 b% X! k) E
9 ? g. P3 R. |7 a& i: ^3 B6 Spoll-class
3 ]& ]6 v! K+ t! k @4 Q% f0 c, C- Z1 h* P+ a* V, }0 F
setup-plots9 e" ]4 n& m% c1 k' ^/ ]
4 w) h; I! B3 o5 F3 ~5 O
do-plots
# H; q3 d+ f% X$ Gend( s, p! t* c, v$ @
! W' r, a( k M& \ nto initialize-settings
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set global-reputation-list []/ m, t4 T. {! }1 e
& a, J- H8 _; l/ c* X/ S' C
set credibility-list n-values people [0.5]" s8 h8 g) _% h* [& ^
$ }. A0 s E9 D8 j+ A4 }2 {7 W( o
set honest-service 0
: u8 V4 n: l" Q# d5 P2 A: [! q1 e. |0 f' o, {5 T5 t
set unhonest-service 0
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: K% F$ F5 ], y5 W0 eset oscillation 0
8 d& d# l4 T8 ]* N. Y9 V y, u ]5 k3 i6 f# i
set rand-dynamic 0# M0 c9 V& R, t
end: [" }4 S% Z9 @* y; {+ D c
+ y* p. ^1 b( G6 Yto setup-turtles 1 ^7 v4 f5 H% K9 `5 w$ ^# j+ b F
set shape "person" j1 G9 v, R/ \: ^$ {3 K
setxy random-xcor random-ycor& B# I8 T Q: [5 K, E( s
set trade-record-one []. R u! z5 {" R }; {/ [& z }# x% B
( m7 R4 D7 {" H! @+ k4 y \set trade-record-all n-values people [(list (? + 1) 0 0)] 9 K! ~8 U- l/ v
! o8 o5 ~, E/ Bset trade-record-current []
l+ u$ ?# L: P# K# I5 K" u0 F" ]set credibility-receive []/ [& j- W! `1 w1 c
set local-reputation 0.51 \! z/ g3 Z/ h) b
set neighbor-total 0
2 g, K* H, T' r, D* S4 o# ~set trade-times-total 0, k E: G) S2 h
set trade-money-total 0( w7 k, ]& `# s0 M, s
set customer nobody/ D4 f& f0 Q* l% F" T6 \0 j
set credibility-all n-values people [creat-credibility]8 i+ \7 }& C, z* N: c3 l
set credibility n-values people [-1]
, t4 h4 _+ s1 ]* tget-color
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+ w4 g0 r9 X( ]+ W1 s9 o: ~( D, rend9 r4 \$ W9 `# k" Z% B C- b6 ]) Y* w+ I
Z4 Y. X7 ~7 z2 sto-report creat-credibility6 W2 u# c8 b6 ]
report n-values people [0.5]* d$ v* X5 H( ^7 e5 I9 F
end
; Q3 ~4 z7 m2 `% F' f
, C4 B; X0 I, Hto setup-plots
# n) a v& z0 x- k [7 l
( _, D* w# u2 W6 j1 Aset xmax 30
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7 B! i. J) c/ f& _" z/ c: Vset ymax 1.0" Y0 K) z: }2 |4 E, M4 f
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clear-all-plots: N: s/ j+ r- Y& m
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setup-plot1: s& Y$ ^ j2 e- A. a
! `8 p: x, @) P/ zsetup-plot2
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* | {+ t. k, c( j" l4 H- x9 a! m" Ysetup-plot3
$ D! v! }9 h6 o( c1 r5 jend
5 ~% i7 Q5 m* W C% `# [+ N
! k: ]3 h1 J. \) j3 Q;;run time procedures
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to go
& ]; A# t# A, E3 V; J7 F
5 ~, `1 P, V, E3 ]( a# wask turtles [do-business]
* c: X, K0 q, ]1 `( b' {end3 Z7 t4 D r; F" u/ e' F
3 h P) I2 x' n0 h3 R$ ?
to do-business * X7 s5 h* m6 R( z2 ^. p5 C
- ?, d' t6 @& ?. S4 ]; M% b
& ?1 v3 I- O& m* v% Hrt random 360
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& @9 h S7 C. i: ]fd 11 x! U! Q+ a- Z+ I4 B4 ^( M, C
( J' p J% H g b& q( l0 i
ifelse(other turtles-here != nobody)[$ E8 \, W6 {3 O3 K0 f# P/ N! M+ l
1 `+ N e0 Q2 w9 [5 z! D9 l/ d, [set customer one-of other turtles-here4 [6 u+ f6 f" U4 L0 s" c# U
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;; set [customer] of customer myself
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set [trade-record-one] of self item (([who] of customer) - 1)
4 T' x, Z" B5 E+ j8 L[trade-record-all]of self
, L# Z! o+ l( R) n;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
; _. Z! e( }: w' H5 {: m3 u
5 m2 c& n: g. s, {8 dset [trade-record-one] of customer item (([who] of self) - 1)- D( [# o& @4 U; A. S) F
[trade-record-all]of customer J. O" Z0 d, a7 a& U
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set [trade-record-one-len] of self length [trade-record-one] of self
: Q$ N" I9 \0 Y& ?) l- j% `$ {% A: I" ?
set trade-record-current( list (timer) (random money-upper-limit)). D1 i+ N7 k* Q( S
9 _: }: a6 F( U$ k
ask self [do-trust]. {* s$ _8 d' C c
;;先求i对j的信任度$ w3 K0 t9 h( o# [
9 d8 B6 a) R; h
if ([trust-ok] of self)
# ]3 i. l! T) `% T+ r2 f;;根据i对j的信任度来决定是否与j进行交易[5 L, O+ h, @/ g$ {
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
Y2 d1 m O) t9 V" F
$ @! X) c1 A- Y, I[
8 n. C9 r( }$ t. q, n# Q! b& s% s' D9 q$ X
do-trade
" b3 g1 i- y6 [' B, e4 h
6 U; w8 A! \5 Fupdate-credibility-ijl
% |8 D# K y0 n+ K$ M1 `2 A. P! M' B8 y
update-credibility-list) D9 ?4 c+ m3 ^& i
8 `6 g+ U' v$ [0 f! [( o
& U- o: s! Z9 A2 i7 Vupdate-global-reputation-list
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poll-class0 [/ e: G/ \; f s; P q$ b- f
( B, n, m( Q3 g. H) Y6 @: a# x/ rget-color( u" t+ n* {. r# c+ u
: s2 h+ A; V9 S7 Q2 S
]]: J, Z: s/ F/ `+ Z
) H7 b, N7 c& R& h |4 k' ^;;如果所得的信任度满足条件,则进行交易
: @9 k `# p" W9 ~8 M- q
) w8 n5 B% o# x% p8 I& K' s[
3 b# w- [& B* D* l; `$ y- S! \3 J! p( d6 N& a6 W i- n) a. B7 K
rt random 360" Y5 m- P. P9 x5 o) Y
8 B% N: `2 O) y& K' ]1 Z
fd 1
* h, x y1 o) j4 s9 g, A' ?; [2 o" N# p* D( Y% u
]6 Z9 Z4 [6 n! G& j$ Q! o
- S1 x, `4 f' j R ? ]6 {
end
5 X. \% p i7 g& u7 f7 G
) `7 ] k# \4 P# P" O \6 cto do-trust
: v- F4 Y% z5 \6 z+ v* Z' Z5 Pset trust-ok False' Y$ v" _' n8 t
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let max-trade-times 08 o! R- `; F. @# `6 B
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
! @' p* }7 k* S' u* ~let max-trade-money 0
8 p! ? X( j7 e# @& }$ Tforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]# }* z+ ~, U% g, i4 f4 \7 j
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money)): N8 e. q W1 L1 y
4 j$ l2 ~- J+ {( g/ N& f5 l+ s+ f S4 S8 E1 H. E4 x/ ~
get-global-proportion
) U- ^7 L: U& Dlet trust-value1 J8 d* c5 k9 l, G& M# m. H7 J
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)
# j5 b+ b) _9 H* U! j# nif(trust-value > trade-trust-value)
& |$ k, y; ?: a[set trust-ok true]3 s; J/ m9 S* _# h! q- X, {
end
8 O( j8 D6 j {) U, t% N0 a
]8 K% Q7 @+ N: I; P6 k! yto get-global-proportion
7 {/ S [3 H+ h. E% N, f+ H0 R0 z/ Zifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3): G/ x# {1 w( ^/ v+ h
[set global-proportion 0]
2 C" R8 N1 b- h% S( D[let i 00 R/ n s4 x/ l( J' |3 Q# _
let sum-money 0" {& u& b% a0 U7 f9 a) z
while[ i < people]
2 E w! M$ s& g0 r4 w[$ |, [8 K0 r4 k
if( length (item i" s. t% f. a6 j" L& a
[trade-record-all] of customer) > 3 )* o. j3 ^0 J: g" {* [9 B+ c
[
# [" n2 u$ J, rset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
' E7 O- R. M/ U8 @6 S]
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let j 0
) W5 }8 b$ I4 t* n6 F1 ?: b( ilet note 02 z$ O% B7 v4 n7 H' x
while[ j < people]! y t) J! Z6 ^4 V6 j4 M
[
' Y5 ~: _8 e. i I7 F' dif( length (item i1 a* a7 _. E! {1 ?. K- M
[trade-record-all] of customer) > 3 )5 e3 V6 w6 f: `3 r6 A5 b4 `
[
3 ~( Y9 S' }2 {* d( n$ |$ _' q1 Vifelse(item ([who]of myself - 1) [credibility] of turtle j != -1), s" s5 ]& B. U& s7 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)]. W' k$ v9 D& v- c- c! X( e8 O8 S
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
1 _$ Z, c% i1 B% g]
. x. G5 \6 P/ F( d* g" J]- V& p2 m: \2 D, A' \
set global-proportion note
# {7 y! Z6 l9 v2 q& X# V]
6 @7 m8 @/ ^ P7 |6 R0 c% nend
; B5 [: ?# E. j8 w( U& p2 l$ ^$ X
: m4 B: |% x3 \1 Wto do-trade
0 S" {4 d5 Q) R+ y: {;;这个过程实际上是给双方作出评价的过程
+ L6 R* X( {# lset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
2 y2 x& {! |& \1 ?4 }set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价; U9 p+ f5 {; L( l; M. S
set trade-record-current lput(timer) trade-record-current
, S b) U0 |# B" ];;评价时间
, `, ?9 |' B- O$ W; B( g: c1 jask myself [' }% [, U( ?2 g( ]+ W
update-local-reputation
2 H, ~& t" i! Z, r6 p5 ^0 @set trade-record-current lput([local-reputation] of myself) trade-record-current
! o2 z3 D& J7 } m]. `; h3 O- X$ ~
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself, F+ e0 i) i& M
;;将此次交易的记录加入到trade-record-one中9 q5 g/ A5 _: I. ?3 T( t# A
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
3 g3 S1 m; t/ I- @( Nlet note (item 2 trade-record-current )' }# P W: g) o4 l- n8 T) A
set trade-record-current
1 X# i3 |% h; k5 E# ?3 k(replace-item 2 trade-record-current (item 3 trade-record-current))9 E' v0 ~# J4 ^: {
set trade-record-current7 b4 m7 ]6 T& h- O0 y+ b; ?
(replace-item 3 trade-record-current note)$ C) l/ Z! U3 X* l' K. |6 a6 b" r: z& Q
7 \+ v! P0 l' n6 v) J" e, a3 z0 e5 [3 Q0 {9 y# C8 P) |& ^
ask customer [6 N( w0 t6 j. u
update-local-reputation
, D l8 ^% b% N4 X7 ^1 l1 `set trade-record-current, {4 \# [) H2 T& f) q0 T
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
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* y4 s- h) M( f0 E% @( [* g4 [0 l# R6 _- S* M, o) z
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
+ P: N S$ q, u. x% A/ o0 y
$ o: c: Y$ k& v! P- J+ M4 iset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer)), B& c" t8 H* V9 J' }
;;将此次交易的记录加入到customer的trade-record-all中/ x2 E( U* e+ T* ]
end
& l: H2 S" H& w6 C- i! e* W3 ]7 f4 x4 r1 h, H- G" m J: x
to update-local-reputation0 V$ t1 g7 D- X0 D# u) S p
set [trade-record-one-len] of myself length [trade-record-one] of myself
; r k+ c+ A! e6 N/ B5 _" X4 v& S7 o4 \6 u
3 z; ]% Y0 E ] [, M
;;if [trade-record-one-len] of myself > 3 ' G# _' m8 E. p* A
update-neighbor-total1 _- r& y4 j) O5 G
;;更新邻居节点的数目,在此进行8 Z+ \( q i1 C/ c( _7 u4 `
let i 3
) S) ~. [( y+ `& q! U' ilet sum-time 04 U* v- B0 V' f
while[i < [trade-record-one-len] of myself]
# e# \, A. c# K1 H" Q6 V[2 d/ I, ?8 l4 H' y6 A) J
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
* f( w& [8 }7 q5 r* C6 wset i/ A3 x" k+ }- a/ c
( i + 1). y0 Y/ I2 K8 s3 H$ t
]+ o$ o. F8 f! l$ e. x4 D% Z
let j 3
# g# M0 P5 }$ Nlet sum-money 0
- X1 k! [$ n: l7 n. owhile[j < [trade-record-one-len] of myself]" f3 @- r& q9 Q
[# H1 S/ d0 i1 B2 B: X
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)
7 n- s3 E( L+ d4 E- \5 I% Eset j
& q+ A5 `$ d+ t7 t! v9 V( j + 1)
! _ E1 G( b& A; [+ j]
6 L' U- U! I: d$ F" f. v4 w1 Ylet k 37 p, F- V* h$ I
let power 0: _2 B! L. H0 |% ^; b
let local 0
# y, c: l( B6 B e: t, X8 P* ywhile [k <[trade-record-one-len] of myself]
^2 q5 n* C- `* ]4 f, H$ w[
- u4 ?4 h7 \! X T+ F9 aset 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) + w Q e$ d( h7 }2 v" a& M
set k (k + 1)
' d2 @6 h9 y& U, C& V' E]1 U9 }( d$ Z) Y- t/ Z3 u* E
set [local-reputation] of myself (local)! O7 w* ]! J [ h3 K' t
end& {; }8 l) q# @3 Z' ?/ D
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to update-neighbor-total
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if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]$ a! d- j3 ]7 Q. O2 }. ?7 t/ ~
3 J4 u% S6 ]6 n$ D- h8 Z
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end
& b; h1 E9 J! ~9 i
& P) X3 x& n2 l& p [to update-credibility-ijl
# E1 i- F/ X. j( m* B3 @
! E, p, C9 B/ p$ W @8 g1 O2 s;;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。
5 U# I2 [4 b+ Klet l 04 Z" ^! Z) E K1 z
while[ l < people ]
! j. [/ C2 C8 X+ D, u' Z;;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
0 v# @" I7 }( L8 I6 O[0 p7 u! k/ z6 T1 x. c
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
, Q6 n- p! ` j8 u. uif (trade-record-one-j-l-len > 3) @* w" P, u- c L4 H' e% A9 q
[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' M' h, |$ Q! D4 W+ |! U5 C7 e# n
let i 3
" q, O1 p$ a& A. ]let sum-time 0. W# m, }0 c5 T
while[i < trade-record-one-len]% m. C" ]. I2 ~, s$ p
[
. H7 v, r( e R+ S7 sset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )8 r. _% m* S+ Y4 W* L w
set i# S& p% g& {" F2 Z+ g' \
( i + 1)
/ D* w) l0 H" F5 {! c]$ I* e# h h4 D' g7 B! i3 K
let credibility-i-j-l 0" M! R% h0 c" V1 }$ v+ T) J
;;i评价(j对jl的评价)
% S7 d5 Y/ ~4 ~0 B4 dlet j 3
0 S0 Z7 {; e7 r N5 A3 _* plet k 4' D% k! A6 H$ `4 Z: j3 S
while[j < trade-record-one-len]
9 ]2 P/ g4 o7 J. j$ _: T[
. z7 K9 g6 `$ o' a+ v* ~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# i4 N- A( ?0 B; B
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 P2 N1 F7 G7 q9 V$ fset j7 S3 ?% b& x1 i
( j + 1)
( G, H. L& `, h* v! N$ W& n6 P]
% N9 s1 v4 e) a6 h2 Oset [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 ))
0 R8 X0 }: N& y- }# n3 P* S
9 m) D9 t3 U# k l2 p% U, \
8 O, [; J* y# } Slet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))$ p- X1 {1 v8 E
;;及时更新i对l的评价质量的评价2 ?2 p$ x, S$ t! P% @. [
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]/ [0 h$ M! M c" k. P& Y3 ~7 n
set l (l + 1)
g: j& L& l/ b0 }]3 J7 Y% c9 B: w
end% r4 o9 l2 M( l3 H; F
# L: @) I& }, X, e4 K! p' K
to update-credibility-list
9 @" B0 y7 Y* a; v8 _5 u) Blet i 0
! V- F1 I1 u& g- U& [! Bwhile[i < people]
( j9 v8 I3 ~/ Z. W3 G[
( ~3 g+ L c/ g7 ]' j' h1 p9 Elet j 0$ M" b0 U8 q" {& K/ m1 f9 T/ \7 f
let note 04 Z h/ S; P9 a( \
let k 0
- @, _$ e) P; S/ j;;计作出过评价的邻居节点的数目
9 ^0 h( ?* A2 y( Gwhile[j < people]; c% V- B+ q* Z) G! K: z4 D
[4 Y5 {/ b& B4 I6 {1 i& @4 {. K
if (item j( [credibility] of turtle (i + 1)) != -1)" u% M) }9 T4 z" G$ V2 I
;;判断是否给本turtle的评价质量做出过评价的节点, V7 V' V" [( I% S% t% R7 u" W
[set note (note + item j ([credibility]of turtle (i + 1)))
3 l/ D; f, G3 i% j. X4 R, n) ~; l;;*(exp (-(people - 2)))/(people - 2))]% H8 J2 f2 A. t& Q, B1 h
set k (k + 1)
' g) r" U' u3 M* M* t8 s! c1 }]8 W9 _6 N5 k* `0 k8 A) D
set j (j + 1)
: C3 C( t, n3 o7 m/ c/ Y; F& Q]% l2 C8 T0 D; x6 a/ `
set note (note *(exp (- (1 / k)))/ k)
9 W/ g) q9 W! t3 Vset credibility-list (replace-item i credibility-list note) u. C V7 }% m- P q# q3 Y
set i (i + 1)- U' g# i9 Y W+ u7 [# F9 B4 T
]
0 W1 [$ g8 y ]9 S0 [3 T+ z; p( h/ ]4 Cend/ S% J, X( ~$ I
: \8 a8 q! x$ f' E3 bto update-global-reputation-list% Q, \9 |8 C/ ~
let j 0' P: v- i- ~' ]. q1 U6 A, q( _- Q
while[j < people]
. z% `$ d- r7 p! y1 r0 K. S[1 O# C |4 E0 i4 X+ ]) `
let new 07 R- o2 O8 C& m& T2 o: J5 I' J' z" ?
;;暂存新的一个全局声誉
& V0 k) _% e( J3 a. y- blet i 07 E6 C/ @' y1 D5 o$ V' G4 V, m* y! m
let sum-money 0
% i- Z) f% F) n- v0 r1 Alet credibility-money 0: G- n! L' }* ^4 j( b
while [i < people]) r% e, y1 r, d5 d
[0 E2 v/ O: T9 q# W2 \) r. _2 Q
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
' Z2 q9 m' k' q O9 D) x+ |1 Vset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
; [9 z x0 @* @/ [set i (i + 1)) {7 q, ]& g6 Z7 z$ _( r
]
. `* a2 N. }: Y9 `let k 0: O" V; J/ C" s6 k# u' U3 O6 Z2 Y) s
let new1 0: e2 x6 Y5 n3 X" w8 T$ ]. g4 w
while [k < people]2 q* S4 L+ v% U8 v& Z- l
[
- w/ [- E2 g4 C8 Yset 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)$ O8 U% k& v; o- A
set k (k + 1)% f; I4 W& p: J9 T
]- O' I% o) W% y- o* g
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
3 R a; L* x6 u* I* G# bset global-reputation-list (replace-item j global-reputation-list new)+ t! F( ~& `* r$ e
set j (j + 1)
; F, S1 Y0 ^/ t) Z( J, b. T+ [ K]) x4 `: y) ~/ c; d2 B1 R
end
; N% d6 a2 S( G ]! C! q3 {& {4 F8 X6 l- |7 V% f, `; N) L# H
2 V ?1 g7 J0 g) N
1 u& b# Z( U1 O/ Lto get-color
7 ?. ]) e8 t* Q; ]/ ]4 f
: B/ P' h) v( R1 q/ Y& A: `set color blue; e) ~& G2 w3 S9 P4 @% k
end0 Y! t7 H0 Y( j
" q, D$ h. Z$ Y, J) U+ E0 Q% D& ? pto poll-class& d% t7 @: ]9 ?" H9 D2 h# k& q
end( \( ^! k- ^, o, A, `
6 K4 R0 ]0 D8 |to setup-plot1
! L2 ?- V% r5 |* `, e, {- z) e( }! @' G* w! M6 ?& n1 r* }6 @9 C
set-current-plot "Trends-of-Local-reputation"
! F' c( `1 I: A& }/ K: `5 L
5 b% |) R! |$ u3 Qset-plot-x-range 0 xmax& x9 i4 P6 g& F( v6 {, d
0 W: H9 B, v% e& ]* ]* |& Zset-plot-y-range 0.0 ymax' Q) a" w- n, x+ |
end5 y! g8 k! g- r+ B( z* V. C9 w
1 Q( u2 e# l3 T
to setup-plot2. F; @% J. V1 J7 f6 ]
! I' P0 `7 N3 S, jset-current-plot "Trends-of-global-reputation"& Q! y: S# t( v. _3 N1 A
, g' G8 O2 c5 u( I5 n# s& h& uset-plot-x-range 0 xmax, D. b9 |0 g( G7 A9 x) `9 ^$ Z9 M
: {2 _; u" W% tset-plot-y-range 0.0 ymax
. S4 v3 N' r* h5 E+ f. z3 a* _end$ Z: Z9 J' \: `" A# S0 T2 u
; N1 G& d, n9 b% I" T8 p0 rto setup-plot3
: y' U8 ?# l+ N& ?& k& e
3 N- w% b+ D0 {' m7 Y1 lset-current-plot "Trends-of-credibility"* A2 m- k2 B W9 S7 Z
2 G2 m$ E0 _5 V( Fset-plot-x-range 0 xmax, u8 H( E; Q" P/ L5 O$ M& j
. I- d# Z4 ~! m6 ^* w" M- Uset-plot-y-range 0.0 ymax2 A) X( X4 i0 D( Q
end
T7 c1 f* F% }- d+ ]/ P3 x
1 m7 {( I4 H0 `to do-plots' A a e# Y0 _
set-current-plot "Trends-of-Local-reputation"7 J1 H5 e7 w4 i5 P! g
set-current-plot-pen "Honest service"
% e* Q9 Z* m9 C0 p' j5 jend
$ E" P9 i& ?9 \: Y" g/ q$ O! O7 G$ g8 }8 T7 @* a
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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