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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
6 H" R" a& z4 i) }9 P2 hglobals[8 U/ x- @& v$ x2 E0 h2 n
xmax/ \# I2 Y; s5 f: s
ymax
1 y/ ]% T# E2 r* Oglobal-reputation-list- F, K8 i3 S: U+ h- ]4 M
4 c/ e* }7 p+ C5 i
;;每一个turtle的全局声誉都存在此LIST中8 M: B9 N3 k/ {* h2 x7 h
credibility-list
- D+ l4 ~5 G: h. v+ [;;每一个turtle的评价可信度
2 j' S* V8 ^1 i5 |, dhonest-service. \. u, d6 c0 ~7 W, A s
unhonest-service
" l/ I0 [7 ]0 J5 w- l/ Joscillation
, e4 v; E+ p% @0 Srand-dynamic
% T8 K6 c0 X M) i% K9 ~) ^6 D]
1 ^8 O5 i, @ I
- c, v% W4 b5 d$ x+ ]turtles-own[
# G4 o$ s2 X8 T0 Ktrade-record-all
# u! W8 Y+ ]4 N- P8 p;;a list of lists,由trade-record-one组成5 `" c: J! n' g" b1 A: ?
trade-record-one
) }+ @/ [- j9 \7 a- H! O;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录9 v0 l5 C: m3 K5 z) s# G
% p+ L4 [! e+ x2 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]]
+ I$ r- g6 W+ s# I |0 [$ M3 Strade-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]
+ E& j8 [$ P! @+ y( Z' E- E" B1 N+ ]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; Z; r, H" Z' h) D8 N8 X% L2 \
neighbor-total
, I/ z4 e. c0 g# A;;记录该turtle的邻居节点的数目6 R9 |' A8 y& O% Y
trade-time9 D# s( Z* I3 v$ {3 }: z
;;当前发生交易的turtle的交易时间1 {/ O. Y F1 B" O
appraise-give/ Q( n9 f+ D2 ^! H, v
;;当前发生交易时给出的评价# v* Q% Y6 P* m& P( c
appraise-receive; f- ?3 h" G2 N5 u1 x& n* M# S
;;当前发生交易时收到的评价
3 E$ W9 M9 W; f' B. Oappraise-time
- Z# n/ \' o" S& M/ b1 v;;当前发生交易时的评价时间
& Y! @5 h2 p# z; X( hlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉/ n- Q% j0 t- q2 f
trade-times-total
, E) b9 q1 P: E;;与当前turtle的交易总次数
1 c9 @: `3 p* Etrade-money-total$ s4 A K0 N$ o9 ?) C6 ~# i3 E- r
;;与当前turtle的交易总金额9 p }! y A# l% O# I
local-reputation
# T: O# l' r% F' gglobal-reputation& H1 v+ ^6 W9 Q6 r
credibility
/ ]$ C( g' b0 l2 _8 R8 S$ P& q f;;评价可信度,每次交易后都需要更新* |. S" M" i9 |8 k$ I0 B. D$ E
credibility-all6 s5 t2 H* k: H/ |
;;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/ ?, v5 d9 j. \" M" y J
; t! [. I1 P2 a;;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 a5 `5 j: `, Z _% b, o
credibility-one
8 j. T% b5 ?6 X' Z% S Q5 |;;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9 g4 i; R6 S" r7 E: l
global-proportion1 i5 k3 D( D+ K6 s
customer
" A" g6 D' [9 Scustomer-no
6 F# w5 Z- j0 ntrust-ok6 A: g6 o' W X
trade-record-one-len;;trade-record-one的长度3 d: Y% F5 B, F, A& L- Y
]! x& ^' l7 j! ?( @/ v7 C7 ]* a
8 g2 J8 n1 |: O/ u
;;setup procedure$ t9 [5 \7 H; V' u* a+ m
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to setup
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0 `$ [4 N1 i# S5 l( f2 xca
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initialize-settings
u: e8 J6 w! E4 ~1 j
7 X) a4 Y4 m# O1 Mcrt people [setup-turtles]9 ^) n+ H9 c& r! ]: v$ {
0 G3 C: V! y; i# H7 Z& f% c6 E5 }reset-timer
5 `* a" @2 j+ X1 i- Z0 s4 G; d8 [$ ^5 |. m
poll-class6 a; H- w# w; B& B( z3 \
" s% o% \+ c4 D& V# W# l0 Z5 dsetup-plots
! `/ W4 a9 ?' ~! S
9 k# |1 q. u# I0 |! x) Rdo-plots5 T' `* F2 J' O$ M2 H
end5 |) B6 O) z8 U) e( |$ C
8 i0 ^; N, C zto initialize-settings, P X8 ?( b# U+ U% E" f
5 Q! i; N4 k2 ]: E1 yset global-reputation-list []( Q9 W; P' f% p0 P3 M
5 x8 B6 t) R8 n, l( l+ Y' a
set credibility-list n-values people [0.5]
1 |6 V8 I& l- k7 y+ \4 j7 ~% ?" ]3 }. q# G
set honest-service 0
0 U. i e# h6 [- a& J) Z- D2 T: d+ V: A2 m S2 P' N" a
set unhonest-service 0
( [4 o3 G6 k3 w# \! Y5 J6 N/ z/ D7 ]3 L$ y
set oscillation 00 u U( R# W# b6 e
) ^) V+ M8 {. k7 Mset rand-dynamic 0& I# C1 z. ~7 U0 w) G
end
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to setup-turtles
. g' L; x" k: d ^3 Yset shape "person"7 ?9 O+ E$ j! N% }/ Y# v) U6 H1 C
setxy random-xcor random-ycor) b# }8 V0 x n9 h
set trade-record-one []" \+ @6 G e& s# V
& }7 t& U/ z, W
set trade-record-all n-values people [(list (? + 1) 0 0)]
# n; y9 B, I4 ]' e# Q$ J3 j1 S4 x
) o6 f! H; q+ S( @8 Yset trade-record-current []" b, o- \4 U( f
set credibility-receive []
. G7 F$ z$ v! w7 D" C. A" @/ R; |' Aset local-reputation 0.5) C- X* \, J! l0 ^& S. e
set neighbor-total 0 Y1 ^7 V9 i$ o1 c2 C ^
set trade-times-total 0
! p- X7 _% `1 Gset trade-money-total 0
Y/ ?$ P {9 ?4 f4 Y% {5 B. Y8 Oset customer nobody
$ D! B" F: S2 ?; s3 zset credibility-all n-values people [creat-credibility]
0 K# I! Z C/ v; l7 z! S$ ?set credibility n-values people [-1]
% k# ]4 A' q% v& f* N) Jget-color
5 [8 _8 H T4 T8 y# g5 |' q
: u: L: ]7 F$ J8 X7 O* ]: yend# I1 P. K, x0 U7 N
' ` X8 V; [) W+ ~, ?
to-report creat-credibility& W& Z8 y1 v+ l& ~9 q& H
report n-values people [0.5]' Y& P2 |0 ?* X) I$ q) t
end
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to setup-plots
0 D$ k" A# H, v
. `0 y" z7 R* ]( g: H# [set xmax 30
1 b, W: p) D1 A$ c/ k( L
5 n% _, e! C5 o$ S3 Kset ymax 1.0
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clear-all-plots3 ]+ z2 n+ H/ j" G9 I9 ~* B
6 ~9 |+ Y( V# |: Z1 P" vsetup-plot1
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; j |5 e8 u' g9 k. J% R6 Gsetup-plot2/ o) n* M+ i/ R, x* v' S
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setup-plot3
7 Y2 y- @( H) Q) ^5 c7 w& k# Cend- n/ Y b) I( t5 F
. V- l6 ^3 V( G+ C0 K3 L) h
;;run time procedures
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+ k1 l% p( r& K4 f( Hto go1 o# R+ B) I! o/ F/ _2 w6 m$ F8 T: R' }' k
: S% N" g5 T! ?1 B+ B
ask turtles [do-business]2 x3 `9 l: o8 G2 u4 K
end
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to do-business
) M5 W" y! r6 W% ^6 j; n, a, Z1 I0 m; G0 w! B
, H- r6 g5 g; T$ Brt random 3600 l* B a0 f$ c! L. A/ l
! u* Z6 D' v5 y$ C2 p
fd 1
) [; N2 q( X. h2 H0 k; {4 ^8 \ P1 V) D& L. w- H9 M# s
ifelse(other turtles-here != nobody)[1 z3 S! d; m* e- B- r
& Y1 a. S9 M! M2 \& q5 `: Y( F- J; \6 Y, ^
set customer one-of other turtles-here
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) _ ?( I+ ]4 P2 {2 @/ R9 |;; set [customer] of customer myself; d" u" p( i* A
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set [trade-record-one] of self item (([who] of customer) - 1)
9 k N m5 v z9 w[trade-record-all]of self5 P9 K' S3 l; m+ w/ Q" w; L0 x
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
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- I7 X0 t8 @1 w! u% u5 y5 `4 Tset [trade-record-one] of customer item (([who] of self) - 1)
8 `. K. i1 N4 x3 T0 y7 [[trade-record-all]of customer
( L6 \- Y: l* Z/ p+ g: ~+ B! P7 Z8 L) k$ ^2 Y) `
set [trade-record-one-len] of self length [trade-record-one] of self
# f# ?- J4 |. ?- Y% q9 I/ c) @. a' A/ x6 ^1 K
set trade-record-current( list (timer) (random money-upper-limit))" m! L' a2 V: m. x* k9 ~
0 _5 N# m4 c8 p: r9 z/ a
ask self [do-trust]' c6 A( H! [" f% I8 ]
;;先求i对j的信任度' Y$ c: `+ p. p6 K
/ I3 }9 R3 ]$ H; B: V7 Hif ([trust-ok] of self)
L6 W% T: U& P/ s% C, _( d;;根据i对j的信任度来决定是否与j进行交易[* B7 i% F: r8 d/ ^& W5 j
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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[1 h6 V1 {) h9 \: U: O9 j
4 F o6 f2 V& D% A5 U" Tdo-trade& q5 s0 P3 U3 [
9 C' Q$ F5 \# F/ C9 X
update-credibility-ijl5 r6 N6 u& G& U1 ^
; k+ Q2 T4 r, @2 \update-credibility-list
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update-global-reputation-list
$ G' p" k5 J& K# }1 f- y2 ^+ M
# S5 ~$ @- ?' gpoll-class
* Z- w: `1 y0 c
$ q3 j T4 e1 x4 y0 K" ?get-color
( }# R1 x6 {0 m1 `( x- R7 j/ E/ B. B* |% b6 [4 n2 s6 F' i% b/ M
]]# ]# f' P2 u; q3 ?
& M. {1 t" T7 w s+ ^;;如果所得的信任度满足条件,则进行交易" H5 l" ~# g# `
$ n* I% L1 M2 i7 V7 W2 F, G* l
[8 R0 i M4 z7 |( ?) C; W6 [) g
/ j1 R/ O7 U9 P% c) r' Crt random 360
, W) |7 {. |/ M, l: o. m; O5 `5 ^% A {% V! n
fd 1
* L9 P% i" N& E& W
- n- ^! Q; }6 a0 z; |, w: B]
& G3 e" k) g$ C( ~1 Y
- U4 [0 G4 E! S& Z5 qend
- J) b; x" x1 ~( K* B
2 w) E0 S; a. D( [1 U' L2 e8 fto do-trust % ]0 Q# L% v0 Z% V% n
set trust-ok False
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6 Y, u" d# X# v7 Blet max-trade-times 0$ T1 V7 R6 {0 K9 u
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
7 ]. i U' C( k: @0 \5 |+ ^# {let max-trade-money 0' c9 |; u1 t. ^. H/ G; `2 o& D+ K2 }
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]2 O; B q; c4 n& d) j- V
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
# [: g2 E% X8 v4 A3 M; t
" n0 d5 `1 H, T( g
+ m$ }) K% S/ A4 d/ f, R @get-global-proportion7 s3 @& @) j( x
let trust-value
6 \ H' X' k0 l# e/ y: q( Zlocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
7 T- D9 ]! u5 P9 D7 ^& xif(trust-value > trade-trust-value)
j3 ?5 } `/ O" H( y: g[set trust-ok true]
) t ]$ ^3 D$ B; n4 x+ U. H, Z# }end/ @ j. V. G' x5 r
, Q- k( B( u/ `1 n" O6 h
to get-global-proportion' c0 o1 M# A# v0 j$ p0 o
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
" f% j& ~7 v+ X9 V[set global-proportion 0]
[, S2 k: A, R. M. W[let i 0' d8 `8 P, L9 A* c& w* n( p i
let sum-money 0
: u5 \0 r% N9 ]% u: `; ~4 Z4 ewhile[ i < people]
% R/ k: Z* n$ a# D[, {, `: }4 {; V
if( length (item i' t' u2 d; v% N _- v2 G9 `
[trade-record-all] of customer) > 3 )8 p/ X. s, A q, l: _
[# A: ?) }7 o0 ~+ Y- O7 r% V
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))- ~6 \; F7 }) z+ w4 S
]: c! j% y) ^4 b
]
3 P- _5 p# L, e9 ~8 j2 ulet j 0' E- U b+ F$ W, j2 e% m/ e# I' o
let note 0( a) G. c. O/ Q7 J1 k4 f x6 |
while[ j < people]- I; ?4 P9 Q: _8 v- i
[) K) E. X) Z! p/ |( n3 j
if( length (item i- d4 ~! x2 X; l5 s: }2 J
[trade-record-all] of customer) > 3 )
' i+ B2 ]% g/ L/ s; F9 T' d4 F9 @[
* W# S5 C+ @% Zifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
. X7 j4 ^; R0 f6 \[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]0 K& k2 t! i% K5 n! H! T" h
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]" i3 ]* Z: d9 e& B n5 D
]
! ?* k& \7 c, D' d]
8 {) f2 J' p3 H& N0 R6 G3 Wset global-proportion note
9 y% x; H3 m+ F]
9 {" c9 D2 R; n7 D: wend& U) Q9 m" m+ ], Q1 Z- M
' x' y5 f7 l! `, W @to do-trade
- K4 y, S7 k r' b% L+ U;;这个过程实际上是给双方作出评价的过程
5 |7 y$ i* B( A" q, E8 Dset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价( M- x, J% N3 r6 m; {. @4 q0 o
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
) {% u9 \, C3 |) B( C: hset trade-record-current lput(timer) trade-record-current
8 C7 X- n1 J8 m9 Y/ C+ u, A;;评价时间5 K4 S0 h* B+ m
ask myself [
0 w9 _$ }: C1 ~$ b8 yupdate-local-reputation- d1 |% P+ s; l+ U( j+ m% G
set trade-record-current lput([local-reputation] of myself) trade-record-current- ^ D% T( ^; B# b- e0 P/ D5 k6 }
]$ v3 G0 X* _6 J
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself! Q6 |' a$ x; q5 I+ r
;;将此次交易的记录加入到trade-record-one中) E" f9 I7 t& [/ E3 Q) O
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)* d i# k+ ^( B. }4 X# [4 E5 A
let note (item 2 trade-record-current ), |; @5 ? X) d$ a
set trade-record-current u, X5 T! |5 {; G8 g
(replace-item 2 trade-record-current (item 3 trade-record-current))
1 {( E( M/ b6 J+ Oset trade-record-current
& Q$ Q+ r/ w; ]- m E8 q4 Q9 m(replace-item 3 trade-record-current note). |$ Z; n! E; y2 C6 `6 z( ? }
7 n0 I r! {; o8 T' I
7 q* p, o! b2 J# N% \/ u( i7 Wask customer [0 p! x4 H7 J% B1 T
update-local-reputation
* q. o: X( o: uset trade-record-current: P* B+ g0 N) O$ g1 ?+ e/ l
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) " @% z+ f& \* `. C4 m0 {- v
], L7 `/ q6 X* h0 e
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! O& {7 U T1 d+ H( e% iset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer! B3 c7 `$ T9 \$ l" ~; f3 R
4 X! O6 a8 [9 } K- eset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))4 l) a! o$ g" {6 U) E2 s- h
;;将此次交易的记录加入到customer的trade-record-all中) f. G4 z5 J" ?8 ^3 }0 `8 b' N
end
' o" a) z+ ]! N2 ?2 B# s- l p5 d% g+ I' t2 _+ Z2 R: d
to update-local-reputation
9 ]& q8 ` L1 z, B( ~, R/ Cset [trade-record-one-len] of myself length [trade-record-one] of myself/ ?. j0 Z% U: W" [7 x
) Z' }) I6 _+ k6 G% r% W
4 o3 Z1 r) r# z0 {) m& c8 K;;if [trade-record-one-len] of myself > 3 * T% v# \2 v' O2 I5 I2 S1 J! I5 q
update-neighbor-total9 Z9 {% h2 c' H! ]
;;更新邻居节点的数目,在此进行
! x; M: I) D. v, {9 C2 y0 e/ ylet i 3
) W n! T0 x5 \1 e6 e3 p- x% g( jlet sum-time 09 i/ j4 o0 D" w. E
while[i < [trade-record-one-len] of myself]
( W- e* y/ V" I6 E4 U0 j[
) L) M7 L; C9 R* gset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )9 @. u( H/ x) S7 o! y3 K4 A7 m
set i3 U% M( W; y& J( S7 k$ B
( i + 1)
7 E; Z. |8 N+ f" Z% P8 |]) ~& E, G9 W2 y
let j 3$ z' R2 p) j- _$ l
let sum-money 0/ N9 Z& l, G2 b/ A' q+ R1 W
while[j < [trade-record-one-len] of myself]
" v. j5 F9 I& d6 m7 c3 n[- D u: J! \% b1 o1 n
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)
: M* A8 L5 W2 v8 `) e+ W6 b5 Eset j# @, s& T3 b! G0 y" h0 P
( j + 1)
- _) M7 s8 x+ j) T9 _], W ~9 [4 S' j, Z# Z
let k 37 w6 S; x$ _2 A6 ~
let power 0# s* r$ P- i$ M9 W3 s
let local 03 B6 S; m1 j- z' u$ I' s
while [k <[trade-record-one-len] of myself]
7 a. C" D! t+ F" g: W) e4 x5 I[$ V S# g& g- h b. l6 i1 f! ?
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)
$ h9 q( W; w. Rset k (k + 1)$ Z3 Z0 `. z9 H; Y' t
]6 L+ x1 L, K( Z
set [local-reputation] of myself (local)
& o# o: d9 }6 \* S6 aend
4 i6 I0 S! U: R6 ~4 J$ z8 J4 _- D8 c' c& j/ d4 B: ^* ~
to update-neighbor-total) t+ d# L, x! b8 n r+ d5 i
# |, p( X# v8 l# N0 q& A, p
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
5 ^1 ~& }# ^' F& z$ w2 n8 s& U* |5 F
3 X3 e" Z! e, ]# \" B! @% q% R' h% r6 L) E+ h+ {# j- K( b, i/ D
end
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to update-credibility-ijl % c4 }4 r- P* _; g
6 o7 I2 |7 f, w8 H2 N
;;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。- C3 B0 }1 T3 Y6 M9 m9 N
let l 08 P+ ]% K; `$ { r) E/ J ~
while[ l < people ]
u- X/ X* f" 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& ^6 L5 ^0 l" y
[
?: ?0 }( D/ z. \let trade-record-one-j-l-len length item l ([trade-record-all] of customer)! b/ V% v5 G. y$ X- m" T% }
if (trade-record-one-j-l-len > 3)1 S* Y4 V! b& x; l) R
[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
2 F6 ~* b: N% z: w7 C: L# Flet i 3( K& C: [; V. l `& Q1 c
let sum-time 0+ ~, Q$ c9 O- B) x9 D. v/ V' P9 p+ X
while[i < trade-record-one-len]; L2 s ?& d0 R8 Z" w( x& Y3 C/ V
[
9 l' F+ }: L$ z1 P& } ]$ O( Xset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
. _/ X, g6 X" g8 J3 G; gset i3 X D4 ~1 l- }/ t, i3 D+ O- w
( i + 1)8 i% ?2 t3 s% L8 t" q, N$ K
]
' D$ \# ]7 J, j, C& @let credibility-i-j-l 0
8 I& D0 R5 @& t l& ^: z;;i评价(j对jl的评价)
( f8 O# x0 |8 p$ ]1 L7 O, C1 hlet j 3) W% M7 b- l9 i5 b; r) E
let k 4% Z# b( Y- C( f6 u' Y
while[j < trade-record-one-len]% l6 q( i1 ~* ~; A7 E. b* W' Y6 }
[
4 ~2 G* L, x2 o- u3 [+ |, ywhile [((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 w- |6 y" s' ~5 t# j
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)
: y, ~# T4 ^6 H+ U4 y' sset j
3 O4 `$ k/ A( o3 n0 a' M) z( j + 1)
4 }0 q5 Y q3 M$ N: w; \]+ D% K- ~, W7 e6 x# `- P
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 |# |4 x; [- F' s
/ E+ s6 Q% d5 t0 g- w; C
; N4 v" |% y* J; h9 F% ]7 E S- C
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
, A5 c1 k& c0 h% c;;及时更新i对l的评价质量的评价
+ V% @6 Y7 h. y- _0 x7 m0 ^/ dset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
# ~. b! k6 N! o: Y8 U, Sset l (l + 1)
% |" P+ k# ~8 L]# i7 l, @( ]! U" s) j2 [' j) E
end" Y+ \: Z7 X. z! X+ {( b
% h: A7 _" W2 U M. D% ]to update-credibility-list
0 b7 A# }3 ?4 `& S" Olet i 00 X8 X) [' G2 _, b: Y9 ~
while[i < people]& m: \8 u2 \6 f7 l7 J
[: K7 N$ c+ u$ ?& [0 a1 s/ `
let j 06 f% b: e% J- q
let note 0* L: l1 i8 t! U
let k 0
" c |4 |2 l$ Y r0 [( `* M! U' Y;;计作出过评价的邻居节点的数目
' u6 h, H% k. W! }9 Kwhile[j < people]( u- l' }# D9 p
[
# N) V0 b6 E- Iif (item j( [credibility] of turtle (i + 1)) != -1)9 Z+ T* Y3 [" B4 ]; z: V
;;判断是否给本turtle的评价质量做出过评价的节点
/ B, y+ {9 x( l0 w% t" |3 Z: h# Z[set note (note + item j ([credibility]of turtle (i + 1)))
) D" p7 l) H% C O2 r! V( o; i;;*(exp (-(people - 2)))/(people - 2))]
5 Z: H/ M% M) v* _set k (k + 1)2 E# F' M, V# d7 g$ c
]" j% K2 `: } [! Y8 ]3 k& ]
set j (j + 1)2 q# h, d- n7 C9 y0 a
] T5 x6 \: p' @# q k( W) B
set note (note *(exp (- (1 / k)))/ k)
3 u$ ~1 e/ o& ^, n7 w* v! R7 Vset credibility-list (replace-item i credibility-list note)
9 q4 q' d6 ^& ^; gset i (i + 1)
5 {& J3 ]( X: I Q r' @]2 j; f, t: q5 U) x' l
end
# ]6 v# Q k. u
5 u4 O! { E' [& m; Nto update-global-reputation-list
* o( T8 {% w0 O4 A6 X5 Qlet j 0& i; n, X- d! A+ d# }: S3 r
while[j < people]
) |& C, J) I2 R0 b1 a. @' \; k[. C5 ^3 \: a- e( L% @* V
let new 0! b( ?- `6 Z# O; c2 N$ M1 Z
;;暂存新的一个全局声誉 p( o/ I" ]' s- B6 |
let i 0+ [6 R6 a$ V# g( c* v2 C' h# @
let sum-money 0
6 K }4 N, ]& d# Rlet credibility-money 0/ G. @2 Y7 m, u& _3 K" r0 Y f
while [i < people]
: W# T# f0 w7 | Q6 g3 j: C[
" ?7 h x1 C* v2 Z7 W! \- Mset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
* ^2 C% L+ f6 F6 v3 j8 J! cset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
9 h# V- C+ k) @2 B5 U) U% ^set i (i + 1)8 Y q& p; v7 X* j- C4 f
]$ |% x2 A i% k; E' t/ G$ O4 D4 b
let k 05 J1 p* A. n/ k" z' w
let new1 05 r# k8 ?+ k# B
while [k < people]5 x9 {: r O% n! G |0 A
[
/ }* N O, E# `, D6 oset 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)
0 m3 O$ U4 E" q2 q0 jset k (k + 1)! u1 a# w: Q! j4 t7 e( L( f
]; a3 z3 B; _! }7 {2 F0 L
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
+ Z; C. R' E, y5 _, ?set global-reputation-list (replace-item j global-reputation-list new)
( e/ f" R( Z& R% C: `2 h, J6 S: jset j (j + 1)
! u# c( |" c: a( q* l" ]]
# k) q b# L) H1 y: I; Uend
- N$ [- X! b: a; m) q" v4 }; i
0 T4 q p0 V& q! j1 a: M# K( S( ~6 X2 d9 g) {# Y- u) x+ n
/ `: K4 L8 Y. v; c7 i) Mto get-color! ]* ?( g7 F/ E5 U/ e
! g* U& {5 p3 x% E# R2 F! V3 o6 x
set color blue5 G. O- _! t; _2 T, L: C4 J
end5 `5 a: }8 A/ G5 Z) @& ]8 `7 ]
! ?/ X) {/ `& E! H2 ?to poll-class
1 F4 k5 C6 l* r T; b( j$ wend
8 ~9 J7 E/ ?. e) u! ^, }3 E: R$ P! i
to setup-plot1& P, G' {: E" K5 w; b) l# Q$ H
" v- T6 `. C1 \set-current-plot "Trends-of-Local-reputation"2 K5 f0 t% y4 x
! y/ j) u+ I T
set-plot-x-range 0 xmax/ j; w! m0 H4 R* W2 _2 Y# M2 C
" ^ @+ N7 _% d1 t& Zset-plot-y-range 0.0 ymax
) h+ P' B5 \ `& Vend# c3 w ~' u- i- n$ g" l' r
* O$ g3 b' L4 c e1 Z- F0 U. c
to setup-plot24 G" D& v/ b$ v% R; C
o! t8 e: b% ]! N$ ?set-current-plot "Trends-of-global-reputation"2 Y! ~. s/ p: d% S# Q
: ^# t$ `2 A' \+ S& [. Hset-plot-x-range 0 xmax
* ~/ H. A1 V9 g1 V( S) E5 c4 u& L
, q: p. i( ~0 @" N, y% h, |set-plot-y-range 0.0 ymax& {! e/ B) ^( ~1 E
end+ U3 R' o3 m3 A6 S
/ U" k8 H6 f, s& I+ C2 J4 ito setup-plot3
0 ]7 r% B% \6 V/ D+ h+ Z+ j( r9 o: w. b# }# X3 F% n7 r6 i# M7 R9 R
set-current-plot "Trends-of-credibility"
, u0 l$ P0 m- D6 n* [/ N5 [! `+ r" R$ E$ P
set-plot-x-range 0 xmax
% j) P3 t6 h+ f% }; O. P
& U$ L" O5 i5 z3 P) V% @set-plot-y-range 0.0 ymax3 p0 b( `* W/ R" e6 I! T
end* c: F7 K u; ?$ S q/ f5 B
; M; ^, n: g; s7 D
to do-plots
* j: Q8 q3 Q! X9 h5 E4 D/ _+ y/ Nset-current-plot "Trends-of-Local-reputation"- v# |3 m7 W; d4 S
set-current-plot-pen "Honest service"
q. ?9 q+ H" C/ d( i0 F. {end9 z; F2 F. v3 Q
/ s) _4 a {4 X% L$ R* b, m N0 _
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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