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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
# l/ N7 V4 ?; n5 D8 s( y. dglobals[
4 ~' m: i- H3 \! axmax
; x' ~. M$ y7 }5 Y0 O3 Eymax
( e/ X' w; ~; _- U, yglobal-reputation-list5 c! k N0 n6 Q+ U
% [5 | D7 X/ ?;;每一个turtle的全局声誉都存在此LIST中' w: Q1 j+ o/ g
credibility-list
. s% n3 Z( v: [& S;;每一个turtle的评价可信度
8 B1 Y) S5 {4 jhonest-service" d* c4 ~# C# g& G- ?6 `9 ]
unhonest-service
M9 i! Z) B7 x9 }% W5 R! Moscillation
) r! e: r1 ~: N! p$ Hrand-dynamic& Q8 |- l5 G) I7 x) M2 a
]% M, @4 H3 @8 G" U! d( d
& {) ?2 }& x+ C. B- X8 P, n9 L/ O
turtles-own[5 j* l: B5 X8 l- V5 q) ]
trade-record-all* k& |: G/ e. ~/ p1 b# y/ q- d
;;a list of lists,由trade-record-one组成
6 B6 ^7 \( Y: Wtrade-record-one$ d X- _0 K d9 c7 a
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录" P, b* M& x/ Y( O E
' D& W; P7 ]; }) G0 o" E4 z) ~
;;[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]]8 I! J: ^, {: e5 o; ^; R7 ?" N+ t
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]
3 C/ A6 a) H7 q9 G2 n8 {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/ N* T, B" ^5 x `
neighbor-total
: k7 A! V( t1 ~+ l% q2 _;;记录该turtle的邻居节点的数目/ d8 d0 p0 @) x! S9 m
trade-time$ i0 [5 U R: _
;;当前发生交易的turtle的交易时间8 ^& i. X/ H, a3 w" Q' U
appraise-give' z% K" } s! l# `5 D9 y, a
;;当前发生交易时给出的评价
6 x1 n! J( p& F0 ~appraise-receive
7 D! K3 @$ p7 y# _5 g) s7 w;;当前发生交易时收到的评价
7 k1 v7 d1 |- {; y0 _. F/ nappraise-time
. V( C% c: i& K' C9 X; k/ @;;当前发生交易时的评价时间# i8 [4 j0 M" h; O7 d
local-reputation-now;;此次交易后相对于对方turtle的局部声誉
% E. B1 m* m6 Q/ n1 F) Rtrade-times-total
0 ~5 Q1 ^. n' X4 a4 l;;与当前turtle的交易总次数2 ?" D1 ?; N3 l6 h
trade-money-total
+ P2 n' J9 g5 P: t& {$ {;;与当前turtle的交易总金额
+ q& L6 Z3 Y7 W+ x: ilocal-reputation6 h# M% W2 E' Y1 }
global-reputation V) S# D& W. M
credibility
. P* x- C/ J- ^;;评价可信度,每次交易后都需要更新: R9 I; n" B0 z0 q3 x0 _& E
credibility-all: P! z/ x- X6 a* q8 p( J# O
;;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# A* a1 O: a: t
1 n! V5 m! h1 v' k6 R% 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0.57 k# R8 u/ d" [7 u9 V% j
credibility-one
. j/ j* w6 H7 O7 o; v! h0 I2 d: V;;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
0 X8 H6 |1 a! ^6 L0 n) [global-proportion$ j/ `) w, z b
customer
3 B+ v, u# h# q8 Gcustomer-no& t' W8 b: R7 t( y. }& z
trust-ok
# o- K+ ~8 X& i1 c+ _trade-record-one-len;;trade-record-one的长度
7 @; i" A% F& z; c* b]
) ^& ?' [+ |7 {5 o! d9 ]
2 w% W4 K3 l, p; z;;setup procedure
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X# h- x* s" ~, pto setup; S; e( l6 \+ D8 K! r% c* |
+ a. I: K( Q) O& v4 Z
ca
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initialize-settings9 S% K) ]# W4 l: y6 Q
% O( P; T L' ^2 h" j2 H, n& z1 N- S
crt people [setup-turtles]
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% y Y/ E+ r! q: n! q0 kreset-timer. r0 n; T# l9 Z
: n# q% N# k) g1 f8 @
poll-class% P9 R2 M0 n2 Y, Z) W
& b) N7 z" r! g8 Wsetup-plots
! g% {# r B, J$ i% j0 _, b0 L: c8 T0 `& L E {+ G
do-plots
) G5 D5 E0 N5 u2 S. V3 oend
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, V/ R- q" c8 A3 O3 Q4 l" ~to initialize-settings
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set global-reputation-list []
3 |6 n, _6 X# k0 E
9 v3 P$ M- S4 P" J9 zset credibility-list n-values people [0.5]* Q2 P( G# g! Z: b& J: e3 A
6 N$ ^4 t9 E( V9 S
set honest-service 0
& s7 g* p' D8 N% l5 ^+ G5 v; F- k; V
set unhonest-service 0- l8 I3 v: ~: F5 ?* D
* Z, J/ e6 U! J3 u/ jset oscillation 0
% R3 Z9 ]* p e0 u
: E U( P# e/ h1 Dset rand-dynamic 04 o2 I8 t5 D' L! H
end
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* A0 p8 ?* i( m9 f! I+ @to setup-turtles 6 e* g$ v4 \4 z4 z$ f. U
set shape "person"
" z) B" x8 O2 F! m. y+ h% lsetxy random-xcor random-ycor
) a% c7 ?3 u2 Z7 jset trade-record-one []# _" c" _* x( _9 R4 L. n
9 L3 t+ Z# F* G3 K( \+ rset trade-record-all n-values people [(list (? + 1) 0 0)] % u% M, ]9 I- R. u a6 |8 n
- \9 d6 W }: z: S4 C0 p9 u+ v+ x4 P3 Q
set trade-record-current []1 g6 S3 n1 T- w
set credibility-receive []
$ }8 m( v/ A/ L# k* @7 {8 l* [set local-reputation 0.56 @% G# Y; ~- L1 q- g1 _
set neighbor-total 0
5 L$ C+ X8 P ?" F* }4 |set trade-times-total 03 T6 p$ f; n$ {# P5 F
set trade-money-total 0/ t& o- K0 w4 N7 |
set customer nobody
- d( V. q, S; c+ \2 f5 `1 oset credibility-all n-values people [creat-credibility]
/ C3 ~. \0 o* B" e1 ?5 pset credibility n-values people [-1]
# x- Y: F3 j! e2 E& _0 k, `$ ]" v/ Gget-color
3 O( r& _! ?, M/ b6 }7 Y$ C# W# Z6 F# N( |' j- w! k& x3 T
end
6 n1 J7 D/ q- h2 z( x o; Q8 W- y# P; R1 N; C4 x8 O+ j6 f
to-report creat-credibility/ r: Z5 m/ ^( F- K$ q- Q
report n-values people [0.5]" j% m' i5 G: q4 D/ A+ L
end a }4 ~0 o: ^" V6 I" Y$ T' Q
2 o5 g, x" r0 i9 w( X' G& xto setup-plots
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set xmax 30
; a4 A5 {, j9 R+ p
2 d5 k# z' h+ I0 |; e2 Sset ymax 1.0: f2 U# d# r% C# c2 j, D) L; h; Z
4 ^& K. i* T3 }
clear-all-plots4 l: q9 i8 D; E) O4 y
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setup-plot1
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setup-plot2
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4 @+ _, c+ _1 ksetup-plot36 d- @8 D# n# M1 U$ E* s* P
end9 H6 B4 C" X9 C! |, k! f( V; O0 U
, S m& u% }% Y, u
;;run time procedures
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& D* d2 v/ M+ m; gto go; i- h- J5 ~' p1 v o% \
2 e9 r; X! e0 }; e6 p; mask turtles [do-business]. y7 [; M# ?8 x$ r1 P- [6 c
end' p; c# \) h. o7 X9 `
7 j# u7 h3 H6 s! e
to do-business
' u8 h/ C$ a0 ^+ F$ U) N& @, O6 a$ r3 r2 y- A
+ j6 ~- D/ U6 ^% H8 F1 F- E
rt random 360# u7 T n5 E" O% H+ ^, l9 k) w
$ ^% w# p9 g/ d- f/ a8 ~. zfd 19 d; W( ?# f# s
4 Z) w- `2 u; p' w' U# rifelse(other turtles-here != nobody)[
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5 H% d; n0 D/ S& v& c% T2 {; ]* p: c" ]set customer one-of other turtles-here/ L* R! }/ y+ U/ D# }
8 h! q! h Q& p" y" @' v. S" c;; set [customer] of customer myself
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set [trade-record-one] of self item (([who] of customer) - 1)! [# p0 N- f$ @& ?) V
[trade-record-all]of self
6 q6 K% N0 v1 E9 C" q: b;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self. \; m% ~+ J6 `" f. U
, B2 M2 O' O7 N% }9 y) f4 c3 ]set [trade-record-one] of customer item (([who] of self) - 1)% N9 P0 u( R+ n/ \8 h! u
[trade-record-all]of customer+ a! t( A- A! b- A# f7 X
5 C; {5 i$ ^5 L- o
set [trade-record-one-len] of self length [trade-record-one] of self
+ u. s9 [: K. M/ k* c P- I
3 _+ s9 n: O% Z4 g @6 i6 Qset trade-record-current( list (timer) (random money-upper-limit))' x# L) C8 @9 N( J8 j% I- O' s
9 F7 S5 W" o8 T
ask self [do-trust]! J" v& D! I4 i1 b; J2 i% ?3 }8 j
;;先求i对j的信任度
# A) ^% g0 F( I; K3 `9 G+ [4 k
6 c" m$ P+ X4 Hif ([trust-ok] of self)3 r6 s" e% L( Y8 ?
;;根据i对j的信任度来决定是否与j进行交易[' ~7 F$ n/ c; W
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself$ c: P8 ~: Q. _' @% Z/ @
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[5 r" `4 A3 g4 k$ H1 W3 C1 a! _
" s! n; d V R) C. V& Hdo-trade% `; ] J2 L& }7 Z
' Y- [. x/ l3 G) Oupdate-credibility-ijl$ d8 ?0 X B* I5 v0 O6 w8 r
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update-credibility-list
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2 X! w6 d& i7 s3 S( z0 \( v2 ]
+ _4 o# }. {' M0 mupdate-global-reputation-list
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poll-class
4 d8 v0 m; s5 F- H7 [8 _) q
; }5 M/ D, t2 P8 x- gget-color
) i- J+ a- K: u; d
5 ~, Y2 f$ i- M, v$ A Q5 y]]
5 m8 `( H, t' t0 |2 I8 g
! e7 p5 M/ Z* W/ ~3 w' O ?3 W+ l;;如果所得的信任度满足条件,则进行交易
& K1 [' F+ n3 g {1 z1 R
( Y, }) ^ |* ^2 X8 H/ [[
! m$ t0 s$ j0 d' c8 m" ~$ Q$ {; Q) Z" n
rt random 360% A$ X F+ S5 ^2 K
! x- w* u: p" h* s5 l0 W3 O, u
fd 1
m- U e x/ E1 a( W9 q) r5 ]( r4 x+ A4 J, Q- m2 X$ H' N( z
]# e0 _& z+ T6 g' C
. Z3 N1 |) C/ Y) s; W5 C; T
end
& S& V6 n4 W/ z7 Y1 g% m7 f
* R: G2 s9 R1 ?4 x) Z- A. d) Kto do-trust / [; \% F: p: R- b( q2 t9 f! o
set trust-ok False
9 @4 W6 V! ]* q+ [% L' @# c6 y( `+ {9 K# d) R; ] _
9 H2 T# F1 G: [* m. d
let max-trade-times 0
3 {; G9 ?5 v* X+ {foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]+ K& s( r% y- M) C5 w; r; r, ?+ l
let max-trade-money 0
! i/ f3 s e! G- G4 p2 m' T1 rforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]] w; ^) A& b& X, Q F6 O2 l P
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
! w9 ]$ u# s; c' P/ m' M4 [8 U4 [; w! Q! X/ w
) b: c! Q! _8 x* Lget-global-proportion' y; o* W. Y- _6 j$ `2 I) B
let trust-value
2 O- r$ W8 b" @" R( {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)
$ {/ ~9 b; k" W2 g7 T- Nif(trust-value > trade-trust-value)% B$ Q3 P6 Z: W/ c9 P
[set trust-ok true]
. B1 S4 i Z: n- H6 cend M7 U; c' T* P8 |6 f9 z! P/ O9 o: k
# \. o8 T, D9 z: s f4 Kto get-global-proportion* l# `. d4 o( H2 t* A
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
9 F( @! ?* u6 p- T# j[set global-proportion 0]9 q2 T4 G7 p( y! H) L% q
[let i 05 V# m/ K1 _3 o* x5 M2 x9 H
let sum-money 0# i- ]9 E2 B- h9 \' h1 S- U
while[ i < people]0 D! K/ Y+ I: A* O* ]0 u
[
3 j0 d/ H: O5 W" |6 _* d: T) |if( length (item i
% l/ [$ b" R8 Z$ x( i1 v/ N A; K$ ^% d[trade-record-all] of customer) > 3 )& n' V) n' @5 |2 h& E6 Q
[* g0 M8 g- h$ V5 q
set sum-money (sum-money + item 2(item i [trade-record-all] of myself)): {4 E8 F2 k' G( k6 a5 J4 k
]. K8 h; H) o3 v
]0 [2 U) b( k7 D0 A+ {8 T [
let j 0+ r/ X$ r, b# i" w6 s6 C
let note 0
: A, A. v( k+ _8 B' ]while[ j < people]
" Z6 V) ~1 z% w* c4 ^[5 y: r7 K, a5 k1 j% i$ d
if( length (item i! {8 e8 L8 F# F9 D4 k3 G- x) Y* s6 b% { ~
[trade-record-all] of customer) > 3 )
: Y p% s/ q; o[& {2 @& H0 @4 J7 S: j3 U8 W# L
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
) L8 ], E' T# {1 Q- E# q/ y[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
3 w) N4 K( W/ A7 v[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
6 a7 d/ F- _5 B' g2 n9 g! R]5 a! L0 h& a9 U' }# N! `: Y
]' X- ?' ? ?: B3 z, T* w
set global-proportion note
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end
5 y2 S, i" A: E7 n* X/ A& a$ f) ~, z. `, g) @ ]; e3 y* R2 p
to do-trade4 a0 V9 h# w( C' J
;;这个过程实际上是给双方作出评价的过程) J4 U& d, i+ i g3 A
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
/ |7 N4 w% P* `% b' T0 [set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
0 s; W7 l B! q* M6 jset trade-record-current lput(timer) trade-record-current& ]) T H% b) K+ z+ H
;;评价时间
3 z' w8 y3 [' Q' T0 D/ [ask myself [- d$ e1 p/ Y' F
update-local-reputation- l0 N5 L& s$ N7 e9 ]
set trade-record-current lput([local-reputation] of myself) trade-record-current
7 g; g. r- ?9 a- s! S( I]; s; N) X, d( @5 N
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
7 r; r# a! g5 A) A6 }4 ];;将此次交易的记录加入到trade-record-one中# \2 [( \) ^4 v5 x# U4 g$ A2 }8 X
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
1 W0 p3 W" T. s# R2 Xlet note (item 2 trade-record-current )
& i) i V8 }9 t7 K6 b6 y+ [& Iset trade-record-current# O2 ?1 W/ A0 c: A0 z, Q
(replace-item 2 trade-record-current (item 3 trade-record-current)) q' L: J4 ^. o! P! n6 c4 ?
set trade-record-current( {( H# z' O1 i$ r8 S
(replace-item 3 trade-record-current note)
, H# ~3 I0 b! z+ H9 _8 @" t$ b8 J
! E# f3 K# }5 ^
ask customer [( @9 h! p9 |( g: f R
update-local-reputation$ @; x. t* c5 l- X& y
set trade-record-current
* {5 L( L( k1 \3 o( w$ i- b6 n @% k(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) - t+ G1 X( Z! m
]' H: l% J) k# V( e" s+ g
; y" u/ w1 J: ?5 x, k- b7 t; c/ d
8 t! R7 E/ J$ H9 l f) J9 u8 Kset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer( `2 m5 N. E6 H$ k- Y$ }) s
% p4 ?# q) K% ~$ n. ?0 H' iset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))( |1 c. P8 d# _ w2 q1 ?
;;将此次交易的记录加入到customer的trade-record-all中! A, j+ s$ E% a1 p
end
& @& j d4 {. L0 F+ q1 N( h% j' {4 R
to update-local-reputation" f, j/ `* S4 j
set [trade-record-one-len] of myself length [trade-record-one] of myself
" ?1 y( e: J& j0 ^- g. e! X. u$ K! Y/ y' `, b
4 l9 g6 v) p8 D: r) C" {( j;;if [trade-record-one-len] of myself > 3 6 j: q5 N+ i7 {
update-neighbor-total1 a, _" A. N! E# Y$ G
;;更新邻居节点的数目,在此进行
! H# F0 h( h/ f4 k2 s* M8 ylet i 3: x( ]/ r4 [. ?0 K
let sum-time 0
5 ]( N* b0 M+ u/ Q6 s6 m3 }4 x7 kwhile[i < [trade-record-one-len] of myself]2 q* k. ~& m P/ r: w/ \
[5 v1 U: F9 G6 N4 _& v0 k
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
1 y4 N1 S' K% ?. s/ T/ Cset i8 W9 G u7 g3 G' {1 m! v
( i + 1)( \2 C6 q' ?" s; j0 j
]: F% m- G0 B% F3 f
let j 3, A \/ L! ~; [/ L
let sum-money 0
' T0 l2 R$ e) {% Rwhile[j < [trade-record-one-len] of myself]4 f1 @+ [/ a% e
[7 c: d, x" m9 l D
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)3 i$ `2 G5 {2 D, O/ d. c4 E
set j/ l/ O9 m& ~! L9 A: L
( j + 1)" Y2 ^5 ?; `9 U7 |5 P' T0 B; U+ H" R
]8 \+ o2 W+ c, {* L/ e+ Y( a1 y: o
let k 34 B. v) c7 c' X6 Q- t: p' _$ M( Q3 X; w2 n
let power 0
9 z6 }7 m% U1 e+ a% `9 F9 J( Y9 elet local 0
/ D3 n( K- t. H# F0 c2 U/ _while [k <[trade-record-one-len] of myself]$ i3 J8 j+ d; ]9 [2 O, u' f
[& O7 O- C8 F# g
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) + L$ H& u% }- _7 {, j
set k (k + 1) S. y+ ?) F; @, v9 |
]6 {6 U" a$ }$ K% _; X! y x
set [local-reputation] of myself (local)0 X- |9 L1 `2 J4 n6 C" g9 k5 P
end
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- c8 s4 e0 s( f; kto update-neighbor-total
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if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
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1 Y3 G7 a: R( [: `( E0 v
end
8 j3 d% G( i( G0 P# B4 T9 l' c& p- M% c/ i
to update-credibility-ijl & S5 Z1 K/ F5 J$ `: |+ z2 E7 x5 C
2 U3 Z0 D6 A7 d3 r5 V' 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。
7 O' B& n* a; Y3 i% j4 Plet l 0
7 H7 h8 P. {4 F Q3 F+ V$ }$ Mwhile[ l < people ]* S, L1 l, d( P1 R" b5 {4 D: m
;;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
$ W3 e0 C7 I) R, c) w( [. n[* S, T) e2 `4 J2 O0 u8 _) G5 p
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)5 q. E; Q+ @1 T- R% Q# v% h0 `
if (trade-record-one-j-l-len > 3); h% P3 b" E: ^! d2 ~
[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
3 E# t% a$ C( t( Xlet i 37 F' W0 [; e0 p9 ^1 T1 `9 O
let sum-time 0
$ O$ c# ~; @+ c& g. zwhile[i < trade-record-one-len]; Z, a( C) y; r! M1 A
[
: _9 j9 A2 F( S7 vset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
. I0 w9 v- p1 \& E- Eset i8 W! m/ K/ C( |$ C
( i + 1)! P0 O) [5 A, W( T s* T$ x# \ y
]
1 I' Y+ d Z [: w" Dlet credibility-i-j-l 0
& w p1 ~- w" q I& ?3 ]6 J5 @# w7 ?5 l;;i评价(j对jl的评价): Z+ j) Q2 E% H% Z# x5 t
let j 3* Z' ?8 y# h/ |( f; [/ l
let k 4
( S5 l* P+ f: t1 W4 iwhile[j < trade-record-one-len]4 s( H& Z8 s% g* V; N$ y* G
[4 m, \. S! U+ z) N5 B8 Z% R/ n
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* ?2 `8 G) L y% ?! k0 l! z4 a/ x
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)
; D# V1 @. v, g* ^set j
5 j- F" y x; p. W( j + 1)
# n* k0 n {' p1 h]& x% M# [; s, j$ i, z8 J* X) g
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 ))
5 h3 B; f/ n! u6 P* v5 M/ i
9 n \# R3 P& W. ^1 s P7 c- F! l/ Z: K' u2 C5 Z6 M
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
3 T* ?+ C5 U& p* v7 v6 a;;及时更新i对l的评价质量的评价
5 s4 t. ^* x$ E3 L3 f9 d# Y/ qset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
, ]1 w3 q' o9 ^$ wset l (l + 1)0 K3 m: c; S6 K2 R. `1 s
]
4 i/ L: ]6 c1 k7 e! `+ {end4 y7 c6 G- _+ O
& W! h0 F9 c1 Z1 v2 }6 dto update-credibility-list- C9 ?9 W" K6 ^# E. Y8 E
let i 0
8 f' M0 ]% ?2 b) l1 Lwhile[i < people]# N/ v& G$ E+ p( ~5 j- }8 E4 M
[
' D( Y- ^- w( Q$ Klet j 0( F) d+ d3 ~- H2 f1 A2 w6 H# P
let note 0! V# T* l) w* e3 {
let k 0
5 h3 m# |1 P3 Y& {" K ~;;计作出过评价的邻居节点的数目
1 \5 R$ T' ?+ B4 V6 |while[j < people]( {+ _- G2 p2 D; c' B0 i
[
" Y5 ^" _6 r, U1 @) n! Nif (item j( [credibility] of turtle (i + 1)) != -1)
S W) W+ U0 E- t1 g;;判断是否给本turtle的评价质量做出过评价的节点
$ f5 a5 F( H& |3 n: K* p8 p _[set note (note + item j ([credibility]of turtle (i + 1)))
; G. `8 j/ x5 r! J8 O, x+ {# C;;*(exp (-(people - 2)))/(people - 2))]. v0 b" Z8 K& x/ ~3 l
set k (k + 1)3 ^* ~ K" `* g( `9 v% z& G
]" W5 q, s* @ x. |
set j (j + 1)
6 x( B& x- M0 U+ S; `+ l]2 t: {( m" F% b9 v$ j5 w. c2 P
set note (note *(exp (- (1 / k)))/ k)" Y" b8 p8 x' t: R; t3 o
set credibility-list (replace-item i credibility-list note)8 z' B& L5 H8 i' R6 T/ c
set i (i + 1)
9 \$ _& V% c$ i; v3 e]
& F- f0 W% A, X) \4 }end
) k ]+ k0 v! E+ R& t
|$ B) ]% ^5 `" D& A4 v! ^to update-global-reputation-list
+ o: ^( b$ U' }$ j! S Mlet j 03 Z; r8 J1 x& U
while[j < people]5 h2 H) b9 J# _$ x; i1 a
[7 P5 ?3 D% A# ^6 z
let new 0
1 W% L r# e) a; l% Z$ o;;暂存新的一个全局声誉
( v6 K9 x, z* Q0 S$ Jlet i 0, c" H+ m6 M) ]4 ~# k) D+ c
let sum-money 0# z* j& z3 ~. r4 b
let credibility-money 0
1 P1 e t# z" _6 J' awhile [i < people]
$ P; D D9 i1 v[5 O3 y- l9 \8 D7 z# y, {6 m2 r
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))8 [3 \1 x* a. T. W4 W/ d
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))' A2 s" B/ z0 a5 ^. D5 ?3 r( o7 F
set i (i + 1)! R$ f. z3 \ ?5 B' s6 o; l( [
]3 b0 o/ i% {) _* v& j
let k 08 s0 V8 c& m7 L4 `/ L. ?
let new1 0 _' n9 @7 H# r5 M( k h) ]' g9 D
while [k < people]
9 }8 \- R/ t4 g[- v& M* c, x" p. s" h. v( G. u+ L" @
set 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 K8 j4 s a" w! i$ ~ Q' ]$ |
set k (k + 1)
+ H& P0 B2 e6 h# {# G% p]4 C+ P+ y8 c* I$ ~& Q, J: S
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
2 k, c5 } P [: hset global-reputation-list (replace-item j global-reputation-list new)
* S5 F2 c; N) h/ C7 `: B6 iset j (j + 1)2 n/ T+ X# k- G" q
]# Q! c3 ?! Z0 Q. I+ t& E9 F6 ^
end. I$ K" A& v8 R) M$ v
6 e( t6 O4 d) o+ M6 ^6 ]) n$ P; M5 g' d7 o8 z1 A
/ C5 D1 s5 X- G$ n) D9 e: w
to get-color4 [7 ~1 A5 j8 C! J
% E. _; q0 \% f( }0 R) N
set color blue( C4 B2 R2 M* h% n% O
end0 s! d o- x9 C1 Z7 g6 z8 [, t6 f$ a
' O: O5 W+ [) cto poll-class# J; S9 i, a! ]/ P. D
end
) Z6 a8 o8 d% n. K% E$ B$ N5 h0 d6 `( Y$ a
to setup-plot1
# @' G6 S6 L- I' [4 B' c
+ [" \. l2 ?0 [set-current-plot "Trends-of-Local-reputation", s: j% b. Y i7 ]
( R+ t/ @' F. Q: l& Cset-plot-x-range 0 xmax6 K6 G! e* ^# W0 f8 U/ o! J
3 n: R3 t" h; o' V& H3 J
set-plot-y-range 0.0 ymax$ t4 P: @" l7 c' |
end5 r+ {+ A+ a% w7 z
& f# o5 a. C8 U5 i9 s
to setup-plot21 @2 [6 ?: H7 p# e4 ]. [
6 q5 Y$ \, V% w: L& w: o0 xset-current-plot "Trends-of-global-reputation"
+ r$ ?: ]- `9 w+ {- ?/ y) m" o4 j9 u; k' D" |2 e
set-plot-x-range 0 xmax
8 H/ N6 ?5 W9 i& y7 v2 m8 r O0 `' S6 E" c
set-plot-y-range 0.0 ymax
+ A9 i* Z Y+ ^9 v2 Lend
; g ?1 H d% B6 V% M" _6 J. ~* r" L# x- K
to setup-plot3
, x+ S: V) G- A2 V3 R- Y
! {0 I- k& M6 Z! t" R# nset-current-plot "Trends-of-credibility"
1 a- K( S6 X, O; @4 h) N, R. }) Y1 J# ^' n3 T
set-plot-x-range 0 xmax9 S- z8 k( t0 W3 e, E* k
& [' }/ a0 h# _5 t
set-plot-y-range 0.0 ymax5 O- ^. i+ q ~" d1 `
end
% M9 F6 u0 ]% Y( c2 c
9 c; l; v; J T. a" Y# s: m% b1 yto do-plots
$ t( F( |; r% v: iset-current-plot "Trends-of-Local-reputation"7 d5 |1 a! n4 M8 U1 K
set-current-plot-pen "Honest service"7 e, G( p' A/ R% e; ]& q
end
3 h9 @- I/ H' a$ M/ _% j# K, ^, v, {8 K# ?0 q. c
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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