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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0 w9 S( Z) R3 }( i+ I
globals[
% ]: y& P; W1 B4 f; g, Qxmax
7 _" w. w0 z0 h# e8 b, J; M# lymax0 X! I, b; P. }* G$ N- M
global-reputation-list" l6 v+ l# c1 N& F4 B
4 c4 d1 p6 I0 b;;每一个turtle的全局声誉都存在此LIST中
# T4 @4 g) E" H" icredibility-list' |5 Z7 M+ `; H3 \3 H
;;每一个turtle的评价可信度" m+ y' ~3 o0 _5 M, z7 h/ T
honest-service9 }' o {$ h4 X- {" }& z; _0 Q4 z
unhonest-service8 h/ D" V; ^: `" V, B' t
oscillation
5 Y/ }7 }! p4 _/ K9 I* erand-dynamic; c$ b2 v i# u' ^5 O& \. f% w
], m' L$ h5 \! B$ k4 a. M
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turtles-own[- B- E: S3 G$ t3 _# p/ z
trade-record-all
* Q5 z+ o6 f5 R;;a list of lists,由trade-record-one组成0 w* j- f; j% z6 z. h" I8 N- K! s
trade-record-one, E" {3 b4 N2 I3 p
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录* x( ?$ c) g a( G+ {+ c; Y K$ g
4 u( S2 G9 q9 T! v6 X! ]. V, A- P;;[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]]& M) Q( x' v. T$ }- w; z3 [( [* ?$ W
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]$ d- T9 P/ N! g& e! ~# s4 L q
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
3 X7 e) z* ?$ Gneighbor-total
}# f7 k/ F: P;;记录该turtle的邻居节点的数目
f$ L$ u! I5 D8 A/ ]trade-time1 s4 ]7 M; O7 f. ?5 U$ _+ X1 f
;;当前发生交易的turtle的交易时间2 d; T- U& Z+ u9 e* O
appraise-give2 E1 B, P6 {; h* B9 ~
;;当前发生交易时给出的评价' A- w" g' h" N. W# |8 ]2 K* _
appraise-receive4 r- M. z% f. L9 Y( D" O" E$ ]
;;当前发生交易时收到的评价6 B- p9 z: z* f9 B8 j. ]3 r
appraise-time
2 ^# d' }& g# U4 O2 F% w S;;当前发生交易时的评价时间
, m4 Z# E4 Y- a0 N5 I# qlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
( H2 f2 O) {% strade-times-total
$ X, N0 y4 z @% T;;与当前turtle的交易总次数
; c& D% |* f# B, B, Mtrade-money-total* x5 h6 Y; D: Q' F- a1 a
;;与当前turtle的交易总金额& `: D( s$ C4 p- L1 Q( N
local-reputation
! K$ g% n0 S5 j& {" p# u* |4 qglobal-reputation
$ E6 H V( ?( g0 vcredibility
0 I7 N1 b" ]: D" U. p1 K4 U;;评价可信度,每次交易后都需要更新2 A' j- ~, ]$ T+ T( ?
credibility-all
; u: P; }9 I: K;;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
4 H& M& |" r6 g# x$ {" P# b9 P8 ^: z
;;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
1 a( J: L& C T6 Acredibility-one
5 ~+ p% o! F ~& q: T9 s0 O;;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" H) D; W. K1 L* p: z# Q1 a
global-proportion9 e. b- X/ H- S; F
customer
" D" B' u& d. ?; Icustomer-no
2 S& g, X9 r6 Btrust-ok
q. Y ^7 _: \8 itrade-record-one-len;;trade-record-one的长度
+ j4 g% p! ]2 B- L3 Y `; v2 F/ _]- U& Z& \+ _+ |5 F& i$ {$ _
! [0 ]) |) x( c( V$ G+ q
;;setup procedure" u: h) }, B# Z: K: x! z
1 ?. U( ]! V2 V$ V# T5 J$ R9 Ato setup
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initialize-settings+ ^4 g7 h. \( g/ y, }7 E' O" G; }
% H& q: J$ i% S) E$ G8 v4 Ccrt people [setup-turtles]
2 Y3 h! g$ Z/ z9 C" m! k7 U
. `$ q3 Y$ E. l, q; }reset-timer2 L& b8 z0 Z% [- P
" P! s9 V* v& p. T( i8 B
poll-class0 {6 r$ C D% e2 c. Z4 ?* V9 c z6 ?7 y
1 ~6 m& m- d8 p3 L# tsetup-plots) A( ] V8 E8 s
& C+ u0 D) [ d( e) X) odo-plots
. r' z# q6 f: X1 r# Eend
, v5 t) w; p8 D/ U F2 Q- [
5 w' y( T% d/ R5 Y- ^" `- fto initialize-settings
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% d/ f9 A( {+ C1 h$ Sset global-reputation-list []1 p7 ^3 j6 B0 y6 _. i
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set credibility-list n-values people [0.5]; H6 m" b: K Z+ A3 ^ g X
* o8 _6 m& x [! S
set honest-service 00 y/ q! Q& A" `
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set unhonest-service 0
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set oscillation 0
4 g) q: C6 ?9 O/ I) N! E
$ @3 m7 ?) r7 ]- ?1 U d( Xset rand-dynamic 09 a6 I. U: K0 ~% ~+ x
end
8 T3 w) n+ O R$ E3 |2 y0 r$ U
4 Z# ~7 J. t" ^+ R- ~# Q* Xto setup-turtles 8 k+ G. ?' f0 P Z2 p" S$ j
set shape "person"# {& ~8 u- s# h, ~& M* j
setxy random-xcor random-ycor+ J, L2 [: i. d" r) M
set trade-record-one []
0 F% ] S3 ^) P1 l: z: U% Y% _& i% ?1 H% S2 x X
set trade-record-all n-values people [(list (? + 1) 0 0)]
& `" @3 V$ t" ], c$ w. y2 [% a% [3 x& K; ^( D3 Q: ?
set trade-record-current []
! t# o6 }, Y4 c% i( V1 w8 E- ~5 wset credibility-receive []% c B# c! O+ f1 `& n- A8 g
set local-reputation 0.5
( P/ B& d4 _( j" m8 }set neighbor-total 0
$ `6 n1 N! E1 F# Lset trade-times-total 0
' w& m" U0 E4 c8 ~set trade-money-total 03 P' P4 b% a' S5 T4 ]. j; h2 C- a/ s
set customer nobody5 s% t9 d& [( Y
set credibility-all n-values people [creat-credibility]
9 Y& V/ m* b% V9 W" Sset credibility n-values people [-1]- m6 E$ D% V, P- i% c0 l
get-color
S' \% j3 ~% B0 H
6 N9 l4 _: G5 V' n$ ], E1 dend( C g N% ]& o* Z9 c% H& i; m0 }1 }# w
. Y" @# Y4 ?) f2 f7 b( `to-report creat-credibility7 T5 C$ c; n( d( U0 a* ^/ F) U; ~, b. l/ R
report n-values people [0.5]
$ d' C9 q) |: s, n' N1 C# O. Nend
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to setup-plots
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set xmax 307 K' t1 u) S* r9 `1 u
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set ymax 1.0( [3 v2 g& T& B2 [, P, v- c, Z6 ^
, `7 z6 E- C. u$ D
clear-all-plots" i7 m: j, K# ]" G, a( W
/ |0 ?6 K" a% ~, y0 \2 \setup-plot1: B! Z$ m' q" h2 g
9 [) A# Z, S$ W& B" i5 e( T4 qsetup-plot2
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setup-plot3
" t+ U6 G. F& h. r' h* kend
( } f( N# g8 f/ z! |. E( @% Z& H+ `8 i O5 J/ t x
;;run time procedures# g8 w8 H" g% E+ Z8 l8 a
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to go9 x* a5 F3 K6 s! W; r
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ask turtles [do-business]/ ^8 B# T- M7 h7 r5 o5 b2 ~
end { y; |3 c/ P! c
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to do-business
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% x; ]& D; D. Z6 N+ I! S/ `
7 A' m2 g" ?1 t6 a- {7 Q2 srt random 360 l& p9 M% v* l6 d/ x
, y1 r7 J1 e, e' o( m% ]) Rfd 1! y/ M! |+ j1 ]5 \4 Y
+ G: l/ [" q/ K+ i7 B, H8 ~! {1 b6 E
ifelse(other turtles-here != nobody)[, X0 u. z/ W% V, _% I
2 u7 }3 Y9 x$ M0 G: Iset customer one-of other turtles-here
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;; set [customer] of customer myself1 [5 t* ~% Z1 a* H% R& U ^/ p
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set [trade-record-one] of self item (([who] of customer) - 1)
d+ ^( ~5 K& ~/ V- G' i& l[trade-record-all]of self
^% E0 W9 R8 W6 m;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
% f2 j5 L2 k4 J/ M4 L: u, |7 O% Y _
$ F9 `# x0 D) n& k: Q2 Xset [trade-record-one] of customer item (([who] of self) - 1)
2 m! \. I$ ~. \, P6 h% h[trade-record-all]of customer6 _# _9 n, F% h, z3 J M: K- C% Y9 Q
" K& }3 X$ H% l! Y: oset [trade-record-one-len] of self length [trade-record-one] of self$ ]( N6 C/ E. D4 L7 o3 A
0 I- v9 q/ p8 W8 o1 c/ f5 J2 e
set trade-record-current( list (timer) (random money-upper-limit))2 g( H/ U, z7 z" J' Q
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ask self [do-trust]7 h4 i- K$ ?2 g2 ^6 H- P1 J0 C# Q
;;先求i对j的信任度
6 h. }; N4 u2 T/ p+ J1 Y
8 ]! p0 m# i- |) Iif ([trust-ok] of self)* M; I- W/ l+ _
;;根据i对j的信任度来决定是否与j进行交易[: O% R& e, C; A- p' b. [
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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2 }4 v: }' e! o[' \. d( e0 n! i& B$ h: v
" I& p0 {/ M1 y: U7 F4 ]do-trade
* v% X9 p& A) S3 \' l/ H5 ^* f( g k- U+ ^2 h) h( y2 I
update-credibility-ijl/ m& C Z9 V2 x& N- }% A# S6 V
" c5 m* g$ r6 F1 t9 L I0 S/ i4 {
update-credibility-list
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: l2 d: n- E# u2 J0 D& v& zupdate-global-reputation-list
, k# d1 G$ `( c, f3 M( w4 Z
, a2 r1 C$ ~& @) Q2 h7 G9 n9 I) \7 U) vpoll-class+ W; |( T! O$ O, z% R
1 f" Q! u* @! P9 L
get-color
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% M9 j' M% u% s$ ^; {: i& F) s0 K]]) g* y- Q9 f8 |! q% G- d2 q
( x+ f* _8 @ S( P5 g5 e' L;;如果所得的信任度满足条件,则进行交易9 f% n5 W1 u% H$ n, i; l$ M! {
! Y8 S6 ^1 ~7 t( C[* M7 B3 n @& a- I
9 X* Y w1 S. |& C# Crt random 3604 y9 ?. \* P8 X# H
, @$ }$ F4 k1 s9 tfd 13 d5 N9 j( d+ j# N
5 v; f% L' F$ n0 o2 ?9 _5 m/ @]. B+ @+ Q3 z2 u3 p* J/ c( Q( u9 J
: F( B4 p* ?3 o) X7 L
end2 E9 ?) ]& I, ]( h& E5 N) J
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to do-trust " U8 D' Y1 j7 z1 J }5 E+ G. ?
set trust-ok False
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/ C' I# r5 {- h
let max-trade-times 0
, V ~1 Z& W. l6 |9 B, aforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]5 b u2 d* G( C
let max-trade-money 0
* o& B( R2 K: y4 Z' k3 A, p9 c5 b. V3 Aforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]6 M. [3 |: y% g8 O) n
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
5 V" w0 j9 i8 u8 b- G( d8 R# y0 |' v# [( w
$ M- p, d6 y2 Y: ~' E0 j# O
get-global-proportion% t! ], S0 Y: M9 Z* b) r
let trust-value
3 P* r% f' \% B: O5 nlocal-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: Q. _2 [8 V) {0 L
if(trust-value > trade-trust-value) P$ g0 j% K% t" }6 i( l
[set trust-ok true]. g, F( ]: Y G" M7 e
end; E" o+ n9 U& l1 W) Q" h
5 z* L7 X8 f" o9 q, n+ lto get-global-proportion
* O7 ]( v' I3 ]+ E& o4 r& Eifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
" d9 ]1 o3 G% P s[set global-proportion 0]1 o4 D! x. I4 T4 X" v
[let i 0
2 F7 B" Z% F, ~+ ~+ @) blet sum-money 03 ]4 k" B Z6 D2 f3 p& t8 ]. }
while[ i < people]
( }3 T0 m2 n' Y' ]2 f6 @[
# p ]5 }! a& Q# E$ H3 rif( length (item i
. M. e# K7 B( l# D% [[trade-record-all] of customer) > 3 )3 T9 @5 e, b. N+ i% `; b
[2 p- y- z6 u. U$ U+ q3 n x
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
9 k; O9 U* i6 M, ?; ~7 |]( ~ g. |. W) j* y# c
]; Z* L: J5 @/ K i
let j 0: K; z4 c# i6 Q. d) j4 I, P& k$ O
let note 0$ R8 A0 @# i4 Q4 H) ?) L
while[ j < people]1 X! u% L; U) M7 u# Y* U
[& r1 S, m! U9 u5 H- J
if( length (item i5 g1 x; S: h3 Y1 a* e0 A
[trade-record-all] of customer) > 3 )+ B' o* ?- v0 d+ E1 z
[
" H0 P7 R4 y/ H! x/ N2 n" K$ g/ G: rifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
$ A) j% M8 Z- j2 K( A[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 u- U3 c: g$ s9 @5 H8 d[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
" l) }# V) g% ?! W6 R]
1 g' ]& I9 a% Y3 g4 a]
, q. V' j9 m* J/ Zset global-proportion note
( M7 \% U# k- @/ h$ b% ? K7 b% H]
/ c& y' k- w" `# E; }+ [end5 m! v1 O8 M- P5 s5 B& T
- c" M9 N; D- I1 g& ?2 j" m9 D1 Vto do-trade
* Z4 D; P& b% s;;这个过程实际上是给双方作出评价的过程7 J$ ?! i# W; W+ R. Y' @
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
" p( A& B. g$ F+ _- o" S* Uset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价. k; g4 O/ F' ?& h
set trade-record-current lput(timer) trade-record-current
* e# N) }. B9 }( ?5 j. |, r;;评价时间7 w* ?' i* S k- z% O. a" ^# u
ask myself [ b' a8 y7 a' p' H2 i* w: q
update-local-reputation& {: ?! f }- F! R, l& J
set trade-record-current lput([local-reputation] of myself) trade-record-current) T3 V5 ~$ s1 R r3 E
]" L0 X d2 L8 Z# Y
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
$ D# E& F' Z! F2 k3 ^( R% H7 V;;将此次交易的记录加入到trade-record-one中
. v& @, j8 d0 B6 t M! k3 |set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
7 E L! P* S: l3 D4 H! Q! ilet note (item 2 trade-record-current )
i: P) @$ `% R7 q/ yset trade-record-current
9 Z8 L! _' Y& H5 o(replace-item 2 trade-record-current (item 3 trade-record-current)). U" ~( g* k1 A0 s; B0 y4 o/ N
set trade-record-current* f. f, l/ s ~" q
(replace-item 3 trade-record-current note)5 N- d5 n; J8 U+ w6 O
# a* X7 j& |5 \7 F S. R! n: L. a( s+ a1 {$ w+ ^
ask customer [
, L* d% V- D% ~7 wupdate-local-reputation) K& a! T9 T/ Q$ u* g- ~) @1 e
set trade-record-current
1 V& Q" C! J* P I% w(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
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; [9 I4 N7 P& `& T* [
: P$ m; p6 g2 i; \, X% xset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
6 p3 {& }4 [# b& @ v
6 z$ d6 { ~6 ~set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
: |* p( c1 i$ r$ F1 D3 y+ L;;将此次交易的记录加入到customer的trade-record-all中1 I2 [+ u m% ^' N* D/ K! F4 }
end: x0 i4 r6 k) c. _2 ]) g
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to update-local-reputation
2 n: E8 L' j1 ~6 s3 l; Z6 D8 Qset [trade-record-one-len] of myself length [trade-record-one] of myself
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: H2 ^4 l8 y, O$ L x" x4 U# _! |7 R# y" v+ c5 L+ u
;;if [trade-record-one-len] of myself > 3
( y4 z; @0 t& j' e! J# p# zupdate-neighbor-total
- t! L6 g3 t M2 y% _;;更新邻居节点的数目,在此进行
& X$ B9 t4 J! I3 _let i 3
! M$ [2 D* x' _8 i; `! F/ K" C4 hlet sum-time 0
/ e+ Y$ r6 F) l) R3 `2 a( Owhile[i < [trade-record-one-len] of myself]4 P& A9 a% L/ |* |, m* f' t
[3 M# D; k+ C4 P5 V* W( j
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )6 j' {& J/ Y3 y: U$ ?" s
set i- b! F8 ~9 D4 K
( i + 1)
0 P( S% z: J3 L2 D2 P& V+ K]
; o1 i! P- S6 T; S7 Q. Ylet j 3
, J* g4 n: }+ l, C/ X/ A& jlet sum-money 0
J- z9 z# g/ s( ~while[j < [trade-record-one-len] of myself]
|3 A6 F' L6 @. h: U* i* w" ]$ \3 o% s[7 Y9 n% S2 e+ D) b- i
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). R R; P: q, ~, x/ ~# ~( B' j E
set j8 P/ v+ w2 g" a2 ]% k1 N: R7 K9 s
( j + 1)" l. v3 }$ \2 [4 E+ E8 M, |+ w' p
]
" @5 E# a4 Y' F" P: nlet k 3! f7 Q. K, e" y
let power 0
1 B' @4 g% q6 nlet local 0
2 y; i2 m- \: i/ V/ I# @6 `while [k <[trade-record-one-len] of myself]3 x3 O( M# z& I. k& H* i% ?
[
+ y+ p) r+ Y' H# @/ ~% nset 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)
6 D4 u7 o5 @" \* {set k (k + 1)
: ?# V6 ]/ Y* {4 S1 y]$ a$ r4 S0 c& i y& c
set [local-reputation] of myself (local). {9 h# l& S, ?* v o
end) F8 t0 ]& C& p5 i# t8 x
+ P) e+ p; B( R- X: j7 G
to update-neighbor-total! X8 o5 B$ S% \2 S6 d
9 ^5 j' ?9 q1 C1 V3 lif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
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% M3 l+ [- x, `3 P8 V) d6 j5 N* K, N \" w z: G
end9 n D) j" ?* ?1 P" r
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to update-credibility-ijl
( l3 S6 u5 Q) h3 j, c, F4 Y
3 R: p% t, K& E# j6 z;;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。
2 [/ G3 a1 W" S0 ulet l 06 N; g r: ?/ |6 h
while[ l < people ]
1 I; p8 q# w, r8 q- U8 };;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
2 w& l# C- G: ?$ ]/ Z, B! e[' z' i, d/ n# q# G3 ?* ]0 C
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
( A) U, i" b/ _, b" Oif (trade-record-one-j-l-len > 3)- U( b; b0 c' ~9 L7 j" v
[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-one3 q; ]' Z) [, k( J5 {% ]2 U6 Y, L! D
let i 31 x( a; R+ \' V( a3 @7 I' Y! h1 M
let sum-time 02 Z8 N: M# |$ z( F
while[i < trade-record-one-len]# _! e4 Y& V5 u( a5 [ @
[ w7 v* x6 t) p1 u5 i0 I7 X
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) ) n3 S& x" d8 ?% o9 ^
set i
+ g+ Q5 w$ |& f* ?- P) p( i + 1)6 L& J. X8 z. E4 ?/ G0 U
]) S s6 R* e" V0 q/ G8 B% f& L: Q
let credibility-i-j-l 0) g' y( b5 }: u# k1 X
;;i评价(j对jl的评价)
0 O8 m3 M- c9 y& c- }2 Klet j 3
% |& \2 g# N# d0 U$ R0 f! k$ N Ulet k 4- V, X& B" V. }% @& Q
while[j < trade-record-one-len]4 X/ C. x3 w, `0 s4 [4 D( P* k
[1 M9 ~9 I# ]. g2 u! l2 Y) I- q* ?
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4 k) C" J& T8 g m
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)
0 S/ A# u1 {8 \+ g5 T. K1 xset j4 Y2 b- I6 [2 u- |) G# g+ g
( j + 1)
$ a8 P$ ~$ K# Z3 h( Y! f% u]
" i7 Q' Z' V% k: F [, pset [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 ))8 b' R5 C0 u8 Y9 Q+ E
# c, v5 ?" o1 c$ l- s1 U9 P$ c. U
8 i, o9 j# g. I, e- n) C
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2)); R$ O- n9 u& T* q
;;及时更新i对l的评价质量的评价, T' a4 ^3 r9 M5 E; i6 `) A9 G
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
6 F" @5 v! n4 b7 ~8 F$ B& tset l (l + 1)0 U0 c3 X! ^. e: K
]
# o5 z) a4 D/ F( I5 @9 H7 jend
: k5 Z8 i: o6 O; V2 k9 n' ~" Y8 N$ H5 I# E. g8 A/ U g7 w
to update-credibility-list
* z" M% x2 \0 Wlet i 0
- {2 J9 L& z9 j/ w! F, S" p1 Iwhile[i < people]) `# z( K% ?6 c0 o' x) P
[
6 x4 ~7 c( _7 G' P* @let j 0
$ W. m% H7 f" Q& j2 wlet note 0
/ J% M& l' b8 V7 Ilet k 0
( v% {5 r0 e% ^$ Q;;计作出过评价的邻居节点的数目: q- _4 f; k Z! z6 n
while[j < people]5 @' O) O( L. d% p8 o* T
[$ Y9 K5 G5 w9 k! x
if (item j( [credibility] of turtle (i + 1)) != -1)9 I! ~( t1 H6 m. m5 L2 u- Q
;;判断是否给本turtle的评价质量做出过评价的节点$ f6 u5 Q$ o! x( a/ s: C7 x
[set note (note + item j ([credibility]of turtle (i + 1)))' O% Z' I/ K" U2 T! j
;;*(exp (-(people - 2)))/(people - 2))]$ G# `! B! h% j1 a- H/ r# e& j
set k (k + 1)
( a4 j V( D( z l+ j( x3 w* X/ ~]& P7 V3 \) Q0 w1 ^) _2 I" a
set j (j + 1)- J: m5 R: V. n
]3 O; @8 e, j* I" b. p/ _
set note (note *(exp (- (1 / k)))/ k)
6 [$ z+ ^/ M2 J! S, M' lset credibility-list (replace-item i credibility-list note); h2 m/ n# x) G7 Y
set i (i + 1), y1 e# P$ \# p9 Z- ?
]0 {" K6 R# Z# K9 N% O, I
end
! M- n2 Z! J; u7 E+ t9 e, ~, t7 f$ D% e7 G2 Y
to update-global-reputation-list: w9 X: p; K& d6 z4 w" r
let j 0
' u6 x* L% T8 ?# j/ E- A: [while[j < people]5 }# A" L4 C* d4 C) V
[
# Q2 E2 O1 I$ t+ b5 F& k7 Y( klet new 02 q9 S8 C: s7 B
;;暂存新的一个全局声誉9 J& y" N5 J6 K# ]6 ~# Y3 T
let i 00 V! ?4 g/ f3 s- l+ r5 M
let sum-money 0+ s# }8 R; e8 r
let credibility-money 0
" d6 D$ U$ W5 }4 t' t6 d/ w6 {while [i < people]
4 {9 F. j6 Q: M. ][; Q2 ]9 C, k. A/ t* p2 h4 X' p
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))% o1 C0 h+ y) Y' t6 L
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))) D3 T7 C1 ]% Y8 r
set i (i + 1)
# N9 I$ M# N8 G]$ o, c# ^. p. d4 K; I" V
let k 00 j ?7 D! ?: @- m" O; G2 |
let new1 0
7 g( z/ y0 Y# y% [& zwhile [k < people]& R/ j2 n, H& f8 m m, {
[
& H; G, x) j7 T4 W1 ^. Y& Iset 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)$ g3 d9 L5 `# F7 \; M0 d1 Z
set k (k + 1)+ i3 c! l U$ e3 N+ B7 ~' e
]
, Q+ V1 o. |6 tset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) 3 w& O" L% x1 k L; q
set global-reputation-list (replace-item j global-reputation-list new)% }( K) H) ?2 s/ _3 G# t2 M. ?
set j (j + 1)8 J9 O; _( j2 `" \2 u" Y& l4 |
]
$ C" M" c& U. Z, w' a ?end! w4 o1 i% H6 Z7 z5 x9 X% p( ^8 S
: ?% {& h7 G! ]0 o+ U# F8 K$ h
2 ~: f* R: {! A+ e4 E% e% D, `+ D* g& J, W6 ~8 K+ K5 l
to get-color) t+ k* B0 k- N1 W7 ?! @( d, L
5 ^" P+ G" H4 r& n
set color blue" p; L! N5 ~! Y+ W
end3 B+ D0 l$ d, _
3 J% w1 u' ~ O! W1 m6 ?! B" T
to poll-class2 g5 W' S& @! _$ c
end+ M: S1 @' H& _$ C9 i% U: R1 U
! z% ~0 e8 y* e2 ]to setup-plot14 q0 ]" T/ Y- a
/ n8 ?4 c7 I* g6 |6 Z: Uset-current-plot "Trends-of-Local-reputation"& J+ X# b% t. m* T& z4 i; i7 f
4 [4 D: g. T. ]8 K5 j4 jset-plot-x-range 0 xmax
# D5 c" I: L/ Y; l
- t q8 c# o; {1 g- r# b$ p2 x dset-plot-y-range 0.0 ymax# [8 V7 Q4 t- d; e: E
end; [- n9 {; d& h0 u. x- Y6 _
" ~2 E z9 Y6 N( ^/ nto setup-plot2" j8 ~# k3 s/ i, v9 a
: n0 y: |% D6 K( o s- C$ j
set-current-plot "Trends-of-global-reputation"
% J8 \" b# k; Y" L8 ?1 p
, ]' J& b9 o0 @, a2 V6 L+ @0 Kset-plot-x-range 0 xmax- c$ n3 @, d; b+ ~; ^: b
+ T) d- h/ `: z8 K; gset-plot-y-range 0.0 ymax9 M+ q- B! [1 g3 |+ V% f
end* d8 E) q- Y4 z7 B2 s& f
. d( W% Z5 I; S& f" y* s$ jto setup-plot3" [- H' i" W# o) N {, q
8 r; o5 q+ t" o0 N8 I
set-current-plot "Trends-of-credibility"
% m& ^6 {" a2 P# L4 T! o1 C9 z9 k2 h" m
set-plot-x-range 0 xmax/ N- O* D/ f- U2 w& b
4 Y1 z5 |8 ]& a& e3 \0 yset-plot-y-range 0.0 ymax
% f) k% @1 s5 A; t8 H- ]6 r) x( ?end5 Q+ h7 M" z6 l/ V- y6 I
( ^9 C+ b+ V, X; i; ] x
to do-plots
$ f, x, S6 p6 @% I/ Fset-current-plot "Trends-of-Local-reputation"
x& K! k1 a" q/ vset-current-plot-pen "Honest service"; a* Y% \ J& {* l7 C' Z( i
end
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[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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