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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. o; H& [% _* B4 p
globals[
! j! L1 r+ R' P/ K) z- |xmax
. F1 a& q. f% J$ `$ w: z6 h5 hymax
% N- U+ k( T8 w) vglobal-reputation-list: n2 o/ T: C& @
! ~. O( N+ K) U2 f, N;;每一个turtle的全局声誉都存在此LIST中' } q+ N2 q; h7 I( e( o5 R
credibility-list
5 m5 M P( z0 e6 R) };;每一个turtle的评价可信度& Q4 ^3 x# B& ]5 |
honest-service9 Y2 w: R1 f8 N7 d7 G* K+ O
unhonest-service0 R( f2 S8 q3 M n F' t" |
oscillation+ Z/ M( k6 Y2 |3 y6 S( M" A
rand-dynamic2 V6 g4 O B1 k# a, Y
]$ n2 m* q) R, \7 d: I
( ^9 b9 F) b0 _, ^" p9 j
turtles-own[6 [$ M6 P: R) c' Z0 v
trade-record-all; r' Q" e1 d+ W. h& T% z- f1 b/ W U
;;a list of lists,由trade-record-one组成
; n& I' z3 G# s- k/ atrade-record-one
( j* C( z3 ?/ a$ A' w! C;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
" T4 q7 z- G( G0 A- u) d! k; W$ w( M8 K9 p- E
;;[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]]' Y* n G- p9 H! W P
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]' g5 E& Y% J1 a) s. w
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& t! {( U3 {. Y1 M
neighbor-total- a* U* \1 ?0 q! D
;;记录该turtle的邻居节点的数目
8 ~" V: P5 Y* [& v6 Dtrade-time4 G4 c& Y" { }, U; y5 V
;;当前发生交易的turtle的交易时间, d: [9 H" [3 K; w( C5 h- m
appraise-give
$ L8 x4 G7 h# W1 H;;当前发生交易时给出的评价 q! r( V) q. o! s* _
appraise-receive( y% y% p; M8 ?' O C
;;当前发生交易时收到的评价 j# G, u8 C& Q1 z9 v
appraise-time' a: C" b8 ?# c
;;当前发生交易时的评价时间5 R- P: S+ X f/ C. @0 \6 q
local-reputation-now;;此次交易后相对于对方turtle的局部声誉
7 |0 E5 \7 n a$ ~1 a1 m' btrade-times-total
6 [2 `8 k7 C+ \7 b, q;;与当前turtle的交易总次数
2 o: R/ V6 w( }' L, ztrade-money-total
& x1 ~/ I" `3 S# c;;与当前turtle的交易总金额
* r1 f b f) q v' n& _6 C: Zlocal-reputation
; w+ X- N$ _% I1 X* ]global-reputation
9 s' _7 c) t; d% K) a9 gcredibility+ C+ `5 ~, z* K8 y$ _
;;评价可信度,每次交易后都需要更新$ N: v8 E- f1 |: q
credibility-all
- B* V$ G* X1 \; h% _; D;;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
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/ e, x$ k+ X6 r" O4 T;;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
, U1 j' o \7 D5 zcredibility-one
" I" ~+ U, q& R' K3 d$ L1 w;;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# v8 P; w \6 F0 ?
global-proportion | ^3 g! R' L7 l2 O2 d
customer2 l7 z" Z) n' ?# I! Q/ h
customer-no
. k7 [9 [+ m* n* B. m. {# Xtrust-ok
& h1 v& I& o4 otrade-record-one-len;;trade-record-one的长度
0 Y( B# U/ R9 x9 G0 ^]( j# @. [, l8 F5 B# }' ]
; L0 `0 p8 G# |; v6 E8 i;;setup procedure" g( _+ J7 z" M4 w) h; D5 x6 l
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to setup
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initialize-settings
% z# V1 K7 D( z
i' z8 E2 |6 r- R. n; u- K' fcrt people [setup-turtles]
% J9 w: U! Y. `, ]# f) f2 \" k% w6 }5 S) q" j: Z
reset-timer; ?/ \" f3 [9 V* m5 O& B7 X, L
, \ f/ D/ {! K3 w8 D2 ppoll-class
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setup-plots9 A5 p1 L7 O5 X( ^* X. B6 q
9 H0 Q' x/ X- q6 ldo-plots: {: W& |( Q0 C9 {0 h6 i* e+ j
end; J' _6 y8 D6 E% N
6 N1 S# r- a8 r+ ]
to initialize-settings( r2 d, M8 U# e: V9 R
% m1 v8 X# y% Oset global-reputation-list []( f# v2 s" `9 h- u; r' V
3 J% `0 k' J, g! v$ |# G# cset credibility-list n-values people [0.5]( M$ G# M' F+ z3 Z1 F# c- K
' ] W) i0 R: u/ f2 Aset honest-service 02 [1 }' [+ F7 `4 _4 {: m4 D
0 V2 ^: |( J; `2 ?set unhonest-service 0* Z* e O) G& w2 e
9 K5 W: z3 B& e' h% J9 |& ~# o
set oscillation 05 Z4 r Y! p( `
2 u- ^- o6 r: y8 f q" b/ }
set rand-dynamic 0
/ c$ S9 Y0 q9 B( mend
' u3 N4 T. k4 O9 \
" k$ j1 G8 r6 M0 sto setup-turtles
6 p/ N- u0 ^( m' j$ z2 g/ |! u2 H fset shape "person"+ W; y/ r0 O/ H e' y& j! ~/ c$ X
setxy random-xcor random-ycor
2 E! P( a; `9 }1 ~7 Y5 _& y- Dset trade-record-one []
! u% y0 s% B* a2 Q) {* R1 c5 S* C+ i! F- D- ^+ w$ f ^. h: N
set trade-record-all n-values people [(list (? + 1) 0 0)] # ~) e Z+ i9 c1 R; x( C/ R7 w" A
3 f; x* o# ^8 s
set trade-record-current []' S2 r# R# `& k0 w" W' ~& ^! d" A( b
set credibility-receive []
( Y& j# _7 Q" T. ?1 pset local-reputation 0.5
7 `+ a' B; [8 \+ z; Xset neighbor-total 0
8 X5 I* Z" n$ \1 h8 Hset trade-times-total 0
2 }$ j. B/ S6 T0 W x7 @0 V, Nset trade-money-total 0
7 j+ x$ T8 N4 C, r1 Nset customer nobody
]6 Q! ~/ A9 l! c! ? Zset credibility-all n-values people [creat-credibility]9 M% R6 x, h& T: F
set credibility n-values people [-1]
' A% p/ m9 h2 q- D; q, O1 {get-color. L! K( s3 _5 O- r: o3 h2 l
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end
& z- m0 u& B8 [# t, Z3 E- j1 @6 Q6 h4 ?3 Y" i
to-report creat-credibility
V2 F e" G" |8 U/ m/ Areport n-values people [0.5]
8 ~2 U) L/ i8 Q3 W# N1 h7 `. @& aend2 y9 L1 N$ M# Q3 J t) R
' r4 v! p/ d0 a: b* Z+ ^& o+ dto setup-plots2 T" K; n3 v6 B% a; t L* U
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set xmax 30
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% B3 B# I+ h6 Pset ymax 1.0
# w, t/ k8 s; n' E& V! `6 e, c7 r9 e* g2 X
clear-all-plots% f, G k! W- M( o) J: X- a& a
2 ?6 u! c6 H# H* I- @" w
setup-plot1; {, Y/ Z6 X& i$ d6 w
; X9 q0 D; l1 f; i1 ~/ O5 g/ Esetup-plot28 r$ {* ]2 h$ q# B% V
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setup-plot3
' e8 o6 Q& V" E; {2 Qend! j7 `! b# ?) c( |' v, Z- x; `" z
/ m# ^; m; H. v2 }( I;;run time procedures2 y+ r# T( P' o. E+ u& J
' x( ?4 `% l3 K' k* m( dto go' k: W" u% U) d5 S; h' U/ F; _" q
$ k$ |( E1 u. M. R- U5 Lask turtles [do-business]8 f" ~) j2 x9 R% L1 A9 X
end" V2 W, `( L; p3 h
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to do-business # |$ H: ^# g: `1 B( {% a4 h
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: }0 B4 H$ G; b; n$ i. Trt random 360) ~! X) w2 \- _( o0 r
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fd 11 n/ V; a! L* t8 M' s0 F- ?- E+ t
+ H8 I, e: Y0 M0 M( I0 a' v2 `
ifelse(other turtles-here != nobody)[* U- X) e1 E/ ^. L8 d
& ~2 n; C: Y* m9 m! N# {# m' ~ S# aset customer one-of other turtles-here
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$ p1 G1 h: T9 ?3 i9 j" R b) t9 T4 t% ];; set [customer] of customer myself- Y7 w; e7 i: X, ], R8 o% ~, b% n
T. J2 a3 V# [' p
set [trade-record-one] of self item (([who] of customer) - 1); s$ \) D& K- ~; P) P1 B2 I* ^
[trade-record-all]of self; }) A/ B0 u; `; j
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self( L" f/ v" A' w N
1 m3 ~) C/ R5 P0 i2 o+ P# r6 n0 c( dset [trade-record-one] of customer item (([who] of self) - 1)4 M0 j$ [5 U6 }: K1 ]
[trade-record-all]of customer
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set [trade-record-one-len] of self length [trade-record-one] of self* q; S3 I* j: o5 U- O0 G
) Y/ g% ]3 G$ `% e sset trade-record-current( list (timer) (random money-upper-limit))9 W3 v4 S: L' O! ], M
1 N* |$ V f1 bask self [do-trust]
( c/ g# }* O7 f+ f( u+ j* y5 {3 b;;先求i对j的信任度
+ N5 ^/ ]4 t! [6 w7 q6 f2 ]: Q+ C/ s' K0 |! P
if ([trust-ok] of self)
+ a# i! m t; r# T;;根据i对j的信任度来决定是否与j进行交易[
4 v/ e, Q" r) i# cask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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[
, ^3 Z2 O8 u. R
% m8 l4 j* B1 k$ L& zdo-trade5 @& I M# D. z. U9 [3 f
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update-credibility-ijl
/ S2 M( j ]- l7 y! y. s- x
4 x+ o, d1 Q. N) O- g- j0 Uupdate-credibility-list, H& L( c- d" ^% ^: p
) m3 R. ^: r5 B9 }7 y
- f6 W% `7 E/ U* T4 R5 F. R8 nupdate-global-reputation-list
: \2 G. k! {3 {8 I1 {" q" k; j" N8 }! e: {* Z, G
poll-class
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get-color, x4 L; r2 \" f- r5 C* q u% j) |* m
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]]
2 ~% ~( r; f- e" S( C1 @6 C$ T5 d! `* z: k! Q
;;如果所得的信任度满足条件,则进行交易
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4 }; h& z. U" n# T. Y/ ~; B& m[
: l; p; c7 U) T9 y- k
" i+ M( F; g0 d& \2 Urt random 360
! _2 d, i/ g8 b! ?& C: l$ Y" J' j& z9 \4 N3 [/ [) G) [
fd 1
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]
% a0 h7 {& \' c2 c; X# E3 ?. m* u& U# Q8 L
end
0 ]5 M e D x; t
& ], c4 c9 R f: j5 K$ p. uto do-trust
2 p* t1 j+ V3 x1 f" B% c, D/ jset trust-ok False
$ {! U% {' r) _" K4 L- o4 _/ n, O; t4 }" e0 ]4 s. `, s# k
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let max-trade-times 0
" \$ x w, [2 R! |6 tforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]0 R, L: d' V1 S! g- S$ O
let max-trade-money 0% ]& Z5 w$ X3 t: J$ ?% i
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]) o9 Q6 d# X" b
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))! y2 j/ L4 l, s: w, n
4 S0 H( E; `! m
6 [. y( c6 U* n5 H7 m
get-global-proportion: R2 {* @- U: }( E6 S8 f
let trust-value
6 b1 P! M% T# Y1 G; V: }! Clocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)" M9 D; y' }$ l0 B6 k+ n3 V! l9 `* V; P
if(trust-value > trade-trust-value): v: |$ x0 K- S' U# c- Y5 ~
[set trust-ok true]- R- t* k7 J9 s
end- z8 A$ l' F- a4 f7 J1 `# P# Z
7 p6 Q+ F7 J. x& C* X6 s
to get-global-proportion
4 \) T1 D! J0 V' h4 [" W; [. o( eifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)1 K' D w: a2 f. i; D$ V6 N
[set global-proportion 0]4 z2 J& M0 i1 e3 L* s- h% b
[let i 0: s6 {$ ^* n- g$ p: V( Y l
let sum-money 0
& C; v! @+ a- J: g- @* y" J/ b) ~( Lwhile[ i < people]
) }" v% Z* T5 A$ s6 v. c[
, W# f+ a4 J1 U9 t: `2 Aif( length (item i- R' o$ r2 `1 x! E0 t1 K0 Z2 g" l
[trade-record-all] of customer) > 3 )' q- h+ ^' b2 p! I4 ^. V
[0 n2 E) P' ]& c1 R2 E6 e6 p' X# s* P
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))+ ?8 \6 A3 G1 f6 j i5 i }
]
$ C: M y: d( F) X$ P]
" Q: _$ k, L( f3 D) {% A, @let j 0
4 b4 \! ]8 l# O% i, [let note 0
; e$ q3 b- K* wwhile[ j < people]* _: K5 o3 I/ p; J: A6 g4 f# R
[
0 r) o4 _5 n4 j) Xif( length (item i
5 ?) a1 Y2 G6 @* d" h* M$ i3 Q3 l[trade-record-all] of customer) > 3 )8 b% g c. m% A9 T$ \
[; H6 G2 ~& Q8 x' s* ]* x5 M9 @9 m
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)0 p- _# O5 M$ S, M4 C, b7 T6 p1 S9 i
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
& B( |& B# a5 L5 |0 x8 q3 D5 f5 n[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]' n. j; t9 w& ]9 H( ^8 G& T
]2 h7 p2 X2 [3 B3 H5 v" n
]
* s6 T4 K/ i/ o, U0 I1 N7 u1 Cset global-proportion note
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end% V( v3 y3 W! R; Y8 W9 n" O
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to do-trade
, U/ q0 L% D- p7 j3 ]" r;;这个过程实际上是给双方作出评价的过程
) o1 e" P6 C% v' uset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
, A6 G' k5 f% Kset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
( v: K" J v8 Y$ l6 _" rset trade-record-current lput(timer) trade-record-current
7 F# ^( C n% R* v. o( M, _;;评价时间
. q' _+ A, v3 ~7 n- P- Iask myself [
" @6 y. J3 S" W* w9 Xupdate-local-reputation
# b( J6 i, b" s# h; ?set trade-record-current lput([local-reputation] of myself) trade-record-current
+ h* |3 `% w- ]]
# I! P% P b5 cset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
7 |& S- \0 J8 q7 P;;将此次交易的记录加入到trade-record-one中
, P0 _% B. a0 X4 Iset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)- }3 x. J, M2 L0 t
let note (item 2 trade-record-current )
8 ~( ]6 q* e$ o1 S% u, o( B# Bset trade-record-current
! v; @4 |) V- m: n9 J; P6 F( K(replace-item 2 trade-record-current (item 3 trade-record-current))$ I1 W6 d: I; c% V3 E4 ]0 \0 ` w0 }
set trade-record-current
) ` R w, f c4 b4 T: f' H9 F1 s(replace-item 3 trade-record-current note)- { W# b9 S3 m/ Y; L, _# |2 `
1 L% f$ s% {4 Q% b' \1 f+ m6 [
9 u( w% C* H, l3 Iask customer [
2 E* n+ n! j# \ O. nupdate-local-reputation
: Z l* c4 w# ~* m( p4 aset trade-record-current* O, v# U, `' A8 q4 M( L
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
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set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer0 Z7 M( k! \( O- b8 q7 L
$ h1 ~" c; ]! C' g
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))% A1 Z0 @, _' u9 f6 `2 [
;;将此次交易的记录加入到customer的trade-record-all中
4 a1 H9 O' H6 o2 f% v' @end
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7 i8 V. z3 Z6 B' }4 G# J4 C) `to update-local-reputation& f5 X6 {& w y( c) }2 i
set [trade-record-one-len] of myself length [trade-record-one] of myself
) V, ^) p% _; s0 O* U2 c' j, O- @. M7 G% g. B( x
' x1 P7 g# y v' W9 G, _;;if [trade-record-one-len] of myself > 3 2 |/ P) m. ^4 Z
update-neighbor-total
; E! F7 K' U4 _7 N' ^;;更新邻居节点的数目,在此进行' `: `. Z& B' B1 r4 n" V
let i 3
$ x9 s+ Y" H5 a/ B: y: a! Nlet sum-time 00 F5 j! T( x% }) E
while[i < [trade-record-one-len] of myself]5 `& Q+ u; W; s: H# W. Q
[. l; x$ i0 f* U# r/ e8 U
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )2 x) ^8 k" C+ ?- J
set i0 q8 e6 A1 x# E; g6 H" u. w
( i + 1)8 n1 Y6 u7 R" H
]
1 ?* ^; K, ^5 \5 ]let j 3
/ J2 f& g2 x @) w$ `- N. plet sum-money 0+ n: N+ d# X: T# X! o
while[j < [trade-record-one-len] of myself], t% c: q+ Y* u$ n/ ^) g( [ c5 s
[
1 @7 [4 s! Z( ~$ v* w# H, M% B) }% kset 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 v }2 y: E8 V. aset j
- X, o* F3 \. H) Z" V% ]( j + 1)
! j; n/ U* g3 a1 U% X]
: x# q( @) p- y; Olet k 3
0 v, H& M* E* N3 h" xlet power 0
# E( x5 {+ x7 g! U" slet local 0; t) L' h# t5 [% E$ O; K' c
while [k <[trade-record-one-len] of myself]: c+ _' Z! E2 Z! y7 U1 N' d
[3 j" f7 H; f8 f1 J- G" a
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)
4 n& k' M) f+ p8 d/ iset k (k + 1)9 h0 t9 l% @9 P3 k$ o
]: f& b4 q" X5 H4 ]
set [local-reputation] of myself (local)
. d/ ~7 _$ U6 Xend) w8 L3 H) M: n' N& `/ o
|: I! H/ g# ~$ W) Oto update-neighbor-total3 ^% S1 b/ H+ j/ P& N+ u7 A5 ^: C3 `
% @: `) {6 ~& F) {
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]! H% |( L# D) l' y# b) x
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end
9 x0 S3 u% R$ D. L: C2 p. Y3 e' d6 p' }& ^
to update-credibility-ijl ( w0 w6 c0 e( p t) E
: [4 v. y/ K4 @8 y/ L/ _1 v; J& ];;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。
# ^; l$ T. g2 V6 I9 l; W. @let l 0
9 @7 B; }8 n3 g |% qwhile[ l < people ]4 B( z `. h, J3 Z6 v8 U
;;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
9 [- b% \5 \: ~[
]- w1 Z- D6 }; r4 A! Clet trade-record-one-j-l-len length item l ([trade-record-all] of customer)3 T0 H7 f0 S- P/ w/ r' \2 W1 T
if (trade-record-one-j-l-len > 3)
% o3 Y) \" P9 [4 s2 Q! e[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- a4 N! I& B2 j0 g, Zlet i 31 y; d3 f! R$ M5 g
let sum-time 0
2 B3 x v- J6 u( R+ hwhile[i < trade-record-one-len]
2 J8 G0 Y+ A) }- H[
( S& K. ^# s0 |8 I0 G& xset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
; Z. g+ m7 h* F+ [2 N7 oset i
9 W1 F" P& a+ ]( Y( i + 1)
1 [6 P) i# F% ~$ d) R/ @% b]& [6 G$ I. C; H, X2 O6 [* k% }; Z2 e
let credibility-i-j-l 07 X% \- ?) u% v1 f+ E/ i$ s
;;i评价(j对jl的评价)
; [- r. V, V& ?2 ]* q8 [' O* K; w3 Elet j 3) @' x4 T2 X- K. l4 R
let k 41 r$ c( g4 @* h6 K9 p
while[j < trade-record-one-len]
4 L+ T, M7 I- E" B2 \. r[" u. x) ~+ P ^$ M
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
# @! n2 t& Z) M; P/ o1 W1 G3 wset 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)- z/ {7 ]( s/ n D$ D2 p
set j
1 N7 W; I: t, Q5 G5 a; E( j + 1)8 h. n$ N6 x2 i$ T7 E4 k
]7 e' T$ g" O7 F& Q) s |) H( j" b
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 C! r% b/ k
2 ?( I P4 }* N r* f" I8 m3 ~" n0 C8 A$ H# l ~. \! p
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
% p* t. m4 L7 y( Q+ v& N- A4 d;;及时更新i对l的评价质量的评价
; V# ]% y. ^ ?% q) mset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]& U1 f: z; h& W i- I
set l (l + 1), W9 R1 h8 l( t
]
/ r0 w; Z. a0 V, eend
1 W9 ^7 ?7 Q, ]4 u9 k1 O
8 `6 @/ ~0 O3 m# d" G0 Y+ }! ato update-credibility-list
, ^2 ]3 o2 U3 ]$ m2 z7 Dlet i 0) ?0 @$ M4 w6 X+ `1 s
while[i < people]
1 ?4 `$ }3 ~* `# h, Q A[9 B6 ^7 n7 F6 d% n( q( [2 T
let j 06 H% e" } _, q; |+ Y
let note 0, y- Z# K+ T# @# s/ k& s/ M
let k 0$ b4 t4 u2 z6 P
;;计作出过评价的邻居节点的数目
: D( [' a, ?' F: t' f& _9 Rwhile[j < people]' r2 d$ d8 G* U1 l/ A
[
+ I' Q' x0 v% V) {7 ~& k/ J Fif (item j( [credibility] of turtle (i + 1)) != -1)
% X1 R5 k& z! T+ R1 |4 g;;判断是否给本turtle的评价质量做出过评价的节点% J% k) _9 W* I+ o L
[set note (note + item j ([credibility]of turtle (i + 1)))
; p) I" F+ f( e. } j# \5 v2 o;;*(exp (-(people - 2)))/(people - 2))]/ C' x$ m" p. |2 c, e
set k (k + 1)
+ C/ e7 t7 s& e1 z]
( a0 G6 J7 f2 B. \6 b7 I' R6 |set j (j + 1)
1 @" a$ O ~, Y! p2 z]
! |( V7 K5 k7 j% e' \ nset note (note *(exp (- (1 / k)))/ k)
1 C- o! ^5 j- G6 |4 oset credibility-list (replace-item i credibility-list note): q; Y6 b/ K2 P- C
set i (i + 1)% J9 c# s5 b0 h A$ ^( ?$ o B
]1 n! e! a S3 |; ?' e5 N( d
end7 o4 m# D. N5 A- S2 A& e# j
# f4 r3 S( k. C" P. f; t: m$ K
to update-global-reputation-list
- k" @; \ W+ x X1 d# z9 O* Olet j 07 x) t7 e& l+ u& a7 U
while[j < people]& x0 P% _2 O& f0 W4 W5 x
[5 M' } m5 e4 z8 p0 T
let new 09 H0 X& \0 H9 ]+ L- L9 i
;;暂存新的一个全局声誉
9 {8 R/ [* ^) H2 glet i 0
4 j9 m, V, ?5 c; Plet sum-money 0/ [$ c- H1 O" v" O' _: {7 L1 u6 q
let credibility-money 0
0 a( J# b) p1 y+ X! {: `8 bwhile [i < people]
4 X H2 }7 \6 Q. t[; T9 t w% ?' K) |5 t7 ]8 v# _; z
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
$ {& I3 i4 I- Xset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
0 h8 X( W) d. G; W" _) r7 P( s( ?set i (i + 1)! `- w, k9 B( X6 p( W
]
; S, d5 S5 r$ dlet k 06 n {2 u2 S! X; p6 m
let new1 08 c+ w5 J w) H' P7 _4 g1 x; V
while [k < people]/ T7 {, J9 W k2 c4 I
[
; v4 o$ k3 g& {$ D# eset 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)1 D( g$ p% ^& d! h+ S. ^- t
set k (k + 1)
7 c X: t2 {6 i' A+ y* d]
, z- B* X0 p. E A1 lset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
7 N6 b" b3 U/ Z5 y; {/ w' ?8 Gset global-reputation-list (replace-item j global-reputation-list new)
) D+ s D) Q* B8 u. K+ L4 ]' J# t# T Uset j (j + 1)$ ]! t* \, ^3 {& I3 \$ n( F
]
' S# c4 a C e6 x3 S9 p$ mend
z6 C+ C7 B. W+ d. O
# o: `7 d" C5 z" i/ M) r6 @( w. `$ I2 `# b0 u. D
3 s1 R% p: N! m" r+ l
to get-color
9 I' D% R9 s! i8 ?1 i# g" \
/ V0 X' y* U8 `1 F3 I% G' Yset color blue
" ]9 b N& h7 ^/ ~end: _# F- j( K3 |+ _. q
/ C& a. }, @7 A4 F9 Ato poll-class
- @+ e& i/ J" h+ f2 E. Y2 Iend
$ S8 }" ?! V! S3 _) d
3 u8 s' u6 s" \5 S* e% E6 vto setup-plot1
# f5 ?% x/ \2 x
& D9 ^" Z+ I" ?5 \7 K$ G8 x% @set-current-plot "Trends-of-Local-reputation"7 b, T1 A. t4 K
' j; J& ^$ W# _8 R' y1 x, V
set-plot-x-range 0 xmax
' P4 a, f4 `3 }5 Y# A: ]7 \) Z/ N8 i- e+ `5 d% L
set-plot-y-range 0.0 ymax
5 x) } z4 X% {( ?5 zend
3 n, E; G7 M B! } \1 z2 C6 S1 K j, K
to setup-plot2
0 h2 Q0 v# ~; P" `' N- Q# }* L1 Y( U2 [- D7 U5 i7 A
set-current-plot "Trends-of-global-reputation"
4 V1 R; u2 J+ E4 i5 F* ]) K' H9 C- g; L# L0 d' c% ^ U3 [& k+ P1 a) W0 C
set-plot-x-range 0 xmax
- j( b' H: ?5 t0 W" z
! U( E" g! Q: h# h- [) l! yset-plot-y-range 0.0 ymax
/ a$ ^ G8 _. j( [end0 ^' c8 _ u; Q- k6 n4 U5 r
1 X. Y& u) ^# e) @) S+ ^
to setup-plot3* z+ K9 Q$ _/ p* W \! D
/ @* {& E7 x' F2 i- H8 T o9 }3 Wset-current-plot "Trends-of-credibility"
' E7 \3 [$ l" n% g4 @, C4 F s
+ z5 L/ e; v" a5 Mset-plot-x-range 0 xmax: j" ?, ~0 d2 z* P& I
8 F7 e1 K; |9 }+ Y3 o
set-plot-y-range 0.0 ymax# a) L! T2 d- N$ u4 b
end
! Y( r1 O" d, F% s% o; B6 f% s) b' v* Z
% C! Y6 Y* ^$ w z! rto do-plots8 _) U1 v( p( _+ z1 ?( B6 s; D
set-current-plot "Trends-of-Local-reputation"
5 m# }9 y% a b/ z4 z, `/ H& [* ~set-current-plot-pen "Honest service"
1 n0 d2 A, x9 ?$ H! dend
4 x- T& o/ _& q3 ^
y$ I2 l0 j. Z; _, ]- Q& z; E[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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