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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
7 \( \4 m8 t8 r) J! J7 _globals[
- V" b) t+ ?* j6 Xxmax
0 _+ w# w. K* s1 i; i: Wymax/ ]/ j/ `! B6 I# e% }. ^& x
global-reputation-list! S8 ]: _) j! e0 L
% x; x6 O; Q! ~8 H0 W
;;每一个turtle的全局声誉都存在此LIST中
) B$ v' y& i a: m) acredibility-list! U, ^/ l& Y% O3 Q* J1 J1 S: L
;;每一个turtle的评价可信度
8 a/ y5 L: o" I6 j$ vhonest-service- t. J( f5 _) Y/ m5 V
unhonest-service
. p: ^3 W4 s9 Ioscillation
" F" e8 U" P7 J `rand-dynamic3 P7 D1 G1 B+ h) i6 \
]5 [9 B3 j6 t9 `3 X" m& w
# {! }8 w) ]+ } I9 R. k7 Uturtles-own[4 ^# o2 c |: I% j L
trade-record-all
9 N% Y& I- C: h% G: I8 f;;a list of lists,由trade-record-one组成) G) o5 m9 |+ N! Y7 A
trade-record-one
; H* |; N; u( I* T$ n" 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
! N! q* C% i4 X$ F8 M: X0 z# {; n" h- B H
;;[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]]
3 B7 A1 T, @" ]' ]' q! q: ?; {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 ^: V5 V+ i6 A7 p9 scredibility-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list9 R7 p0 o- H+ r- |' W
neighbor-total
6 R8 F3 ~( V9 T8 |# c;;记录该turtle的邻居节点的数目- z" ?5 c; X) e0 K6 n% E4 r
trade-time1 f. j6 H, L" t* `
;;当前发生交易的turtle的交易时间) n3 q* _: `) T; v# K
appraise-give
' H$ K3 w% u) x- G;;当前发生交易时给出的评价
0 T# l- x$ }8 H- ], nappraise-receive6 B( Z5 P; F5 ~/ K9 s
;;当前发生交易时收到的评价
5 G; v& e- q* E, |2 P3 jappraise-time
& X- S+ p+ J3 _;;当前发生交易时的评价时间
: ?' ?1 e% Z3 Y( K A8 v1 plocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
: [$ U$ r. X% H* S8 D; e% xtrade-times-total
" x7 X, L/ I* C3 B* U6 N( E" J+ _;;与当前turtle的交易总次数
8 h: c* S9 c" A' ?$ @trade-money-total7 M1 s. n6 M7 Y: o+ Y
;;与当前turtle的交易总金额
, D3 K$ e( U3 }9 |" M' o# qlocal-reputation
' a; k4 o/ _/ Y, d& A% Pglobal-reputation
$ k: [& j* h5 o+ m- z2 _( }0 ocredibility" _1 D: U9 B. U5 I' x, ^
;;评价可信度,每次交易后都需要更新4 F; ?- H% |, @5 ^. w
credibility-all5 S. k3 h$ w! i7 Y% t8 I
;;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
. _5 u2 q( K |( o X, H- e' V2 @# |& b. 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0.5
' I/ m! A" G% G! A/ u; T: C% ?credibility-one" t# r& _/ V& O1 ^1 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' ^& R- @; ?' D; z0 S4 Z) l
global-proportion
+ e" l/ r6 h7 P, g1 \0 icustomer5 Z* o2 q* O9 B T; l% C( B
customer-no
1 O( h% |& C1 r. E b% h# htrust-ok
7 N5 `6 H9 C: L c# B$ v$ k+ ]3 ?6 rtrade-record-one-len;;trade-record-one的长度
`& y! f! K6 m]3 m! u r" H2 Q/ C# Z4 \
8 \9 R+ p T, h P( f2 J7 ?;;setup procedure
5 A" m( K" R/ u1 L- U2 `! X+ C
; L( H- g2 }% ]( r: @to setup
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2 x5 h$ C+ B, n) P- Zca8 r2 d X; ?) R) u
$ E/ N: I8 _4 {3 u& Tinitialize-settings
- F& s- W# J/ C0 G( G' D6 B
; I% e( E( v- ~' Vcrt people [setup-turtles]
9 |- a0 l: ~! d* s: C2 b' b# u
$ r4 ~( C% c- Y, j) jreset-timer9 p: |' P! f# _6 }
+ ~: l; K8 z% M
poll-class
' q+ {4 F H% i0 P7 E# E8 {
, l- }: R" i! Wsetup-plots' I2 c9 |' f% l6 Q x2 |
8 h3 B" b; F+ e6 z& H$ V" n% ado-plots
5 ?' \' l, T# c1 h cend
/ ~. M+ L) E; [% d0 P. E6 y) T$ R1 H6 T4 [ N/ _! D' n# I1 K
to initialize-settings% L4 J; E1 k- E$ m5 c9 X/ j
# `* h6 j# D" N! t" l% A& M
set global-reputation-list []' \; F# T: z8 z9 P# ]4 Z: q) J1 |! h/ A5 _
, c: A' \' ^# a" h1 ]% ^
set credibility-list n-values people [0.5]. a' Z% X# R W1 t" e+ h. a6 Z. M
* j5 c* e+ q$ b; s A' b! `: J
set honest-service 0
3 j' r) u8 V6 R# ?5 E
5 X) E6 z2 z xset unhonest-service 0+ a! B1 f6 J: |, M) k" |9 l
) a8 Y, g* D: J% ^set oscillation 0
! U0 m$ K# x5 V$ @/ c6 G8 W8 ~, F, p& b
set rand-dynamic 0
3 `$ e; u; D0 m' S. Yend
5 i0 ~3 u7 f. n. Q p9 `2 A
! S; Y2 i% }# v$ ]% K( tto setup-turtles
& q, x4 f/ W0 M2 _2 hset shape "person"2 n4 Q5 M8 `; z9 a6 ]( L! ?
setxy random-xcor random-ycor8 p# d4 i H. V+ M2 o; _( Z3 e* x
set trade-record-one []# t: a, f* A L4 S
9 p0 m/ o# c# M
set trade-record-all n-values people [(list (? + 1) 0 0)]
9 F& ~( N6 R& J8 y; H
6 r: ?" ^2 x# i/ dset trade-record-current []
- F0 L0 z# ~) `" @7 T4 x2 }set credibility-receive []; T0 A- o, A/ v; w+ d8 b/ c1 b4 a
set local-reputation 0.5+ F2 K! [) V; R6 j% e/ k [! e
set neighbor-total 00 B& t$ B, ?; [7 u( Y
set trade-times-total 02 b# t* Y1 ~8 I M6 r
set trade-money-total 0
& s. n$ l+ v, O5 J# I: pset customer nobody7 @6 }( ?- V/ G) o/ M" P
set credibility-all n-values people [creat-credibility]
4 s+ y' i1 k) Y# b2 h) ^set credibility n-values people [-1]) ?+ N, Y$ O9 |7 V7 ^) `1 ^
get-color9 K2 |2 ~- w. ?% f8 Z( z; I( [
* u8 p9 Y+ ]2 `end
0 J& ?2 R. E/ {0 r" V
6 {+ X1 |+ O" Q+ ito-report creat-credibility
C- B* K! w/ d+ Q. _report n-values people [0.5]3 P: o# |5 ?. }( w5 q
end
. h4 g/ v/ N4 a+ _& v& z
0 s4 ]; z1 @8 n& P1 n9 Yto setup-plots
n$ f: D- b. ]7 _5 n0 @9 K& i1 m; k" _: ?! H5 I+ I9 O
set xmax 30
( N. N3 C ?8 K$ R- o/ V+ U2 {' |6 ]# ?1 b$ b. R1 W: [6 y7 G
set ymax 1.0 N' S" o* E( o* c! A- x& D, ^9 W' O! M
9 \3 z9 c5 _- s1 t0 Lclear-all-plots
5 ~( m2 y3 d) b4 b* c* U& ?9 {2 v& m; i' u6 v9 [+ f& A
setup-plot1
9 n6 ~( L+ z O0 I7 f- ]( P6 v* m2 K! ]! f/ Y
setup-plot2/ ^% _8 j* }( J
9 `! \$ l+ U7 W/ n1 @3 j6 S' y
setup-plot3
: |& o- d. O* a' \3 v Iend: M; x& p8 h, V. F M- E
$ y0 a' E1 H/ C3 F! ]0 d
;;run time procedures
/ R) M; `% L" G6 S# C, z" |( i: I& T! k4 y" s
to go( F8 Y1 w3 r$ N( w
* X9 U' Y& m" E& `( G7 B3 mask turtles [do-business]( Y2 O, v; r, n- P
end
; K# U2 j. r; t) J" M( i3 T4 c+ n5 t9 L* I7 ?: i
to do-business
( o* J* F5 k& @6 H* T( N3 A) \; o) F* E
; I9 C3 ^+ W+ L
rt random 360% g+ M6 J% I" { ]- }
! c9 r \# ^. j3 I. L& J1 C. K
fd 1
$ j, f- p& ~6 ]/ Y. ~8 Y# j. {3 K V) U" _4 ~+ g7 B
ifelse(other turtles-here != nobody)[
( b3 s, u, O2 a/ ?
% h8 n9 `8 \' j( M1 X9 G6 z- Rset customer one-of other turtles-here8 i3 @; |' ]* G6 r" e$ J0 O- V) d* Z
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;; set [customer] of customer myself( P' E, n7 @0 L& s1 j p8 T4 Z
% r9 F5 A4 V% k1 j& _; h0 Y
set [trade-record-one] of self item (([who] of customer) - 1)
' }: O* g0 m2 C0 E; X[trade-record-all]of self9 O2 B3 i" ?6 v
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self: e$ x& N0 z( D. Y( }0 p9 c. W0 s! ]
1 q2 ]0 z; I1 W1 i6 m9 _" e
set [trade-record-one] of customer item (([who] of self) - 1)
9 V* b4 ?- o7 K[trade-record-all]of customer) j" G, Y5 h4 e* s& ~
# }9 O6 m& R4 E$ xset [trade-record-one-len] of self length [trade-record-one] of self
9 i$ a4 n1 V+ r" u; {# k% C
; Z6 p. j% q j* Gset trade-record-current( list (timer) (random money-upper-limit))
# k( _7 Z! ~4 t7 r4 b- N- T# A6 A, u6 A: \8 U) P2 F
ask self [do-trust]1 L$ E% N) {! ^4 C/ ^/ s
;;先求i对j的信任度
3 N6 Z- \. {2 I. r: S
' ]( d3 l/ X$ K+ c) u# yif ([trust-ok] of self)7 L8 A2 f$ |6 ~- E1 E, t/ a
;;根据i对j的信任度来决定是否与j进行交易[
# O# h7 @ P) u" ` G, G; m+ task customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself" |1 f" _+ P: t5 U# q9 N
! M' P+ }5 a# T2 x) v7 O
[+ o( ?+ }8 w5 b; \
2 t( S. Q: }" [/ t* t( t
do-trade
: B3 u ?7 S/ U# ]& c' H6 ~8 r3 W% w( K, u' R# d( S. b+ N* T
update-credibility-ijl; ~+ Z2 Q L' ~
, Z- r% e$ Q4 A! s* yupdate-credibility-list
' k- F7 R# Y' u& c5 J: E" f/ X6 }. I/ Y6 g3 h0 i9 T
$ x b5 x+ C( l# P: Z" l# O4 ~0 v
update-global-reputation-list
! e1 P# v, d* a" q, d! |& E# ~' E5 w% k
poll-class5 z; _+ }* W7 q4 Z; _
3 i9 @% V7 d- l$ Z! x
get-color8 V% ~+ r: G% w, N) w; {! `
. ?- A0 O3 ?' b( f" E' y]]5 }" ~) Y& M. E1 R8 I5 j
9 b" W8 D8 I& M;;如果所得的信任度满足条件,则进行交易
2 A; p( L; N9 y! [1 K* q! u) E0 Z0 d. a) r8 w
[
: [- }, N) v4 t# v R& N
' s* q9 D1 g5 h6 @0 R& K8 h) ^rt random 360' |; }' F% x* x" {
2 A% D, w+ L) `# ^5 }
fd 1
L2 E) O9 T! D* F$ h
/ r' c" X& z2 ]9 } T]% r% o, R! ^- Y' _) L% G! C/ Y* M
0 V: a* B- N! Y) k
end
) }' v7 j+ G5 y# C; r7 {* r, W
4 E N/ B4 {" S% q9 I4 Fto do-trust G: D+ J- I( l+ x1 ~' F
set trust-ok False
+ u6 H! {! c9 M+ K' I, \ }' [) h" O3 L; u) O, o8 F
, O6 Y+ n( L9 H* f# {
let max-trade-times 0. x/ B, B1 d' f
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]], m( L q t" ] B7 H
let max-trade-money 0) z8 t6 E& t" D: ~3 ?; J
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]: _$ X, F) t' N# ~8 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))' f. R" f3 P' \, |1 r
- ^) B: f5 D" E4 t# _- q5 f/ k2 k, Y' T- K/ n3 T+ v& r
get-global-proportion
5 x" n1 h3 m4 N# r! Q: D: ]let trust-value1 Z* O5 A! H7 `3 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)0 F* O, @' x7 A
if(trust-value > trade-trust-value)
% U0 p, ~' o4 i* }[set trust-ok true]% p) x# i4 C; g( a% p( `, O
end/ h$ g6 v! M) u1 ^" @( s
* @" ^4 w% v( gto get-global-proportion
* f2 h: R2 H7 _" Q# Uifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
* I4 a& j/ c2 q& \! j }# Z! c[set global-proportion 0]0 C3 L# a% [+ Q; a5 r
[let i 0% E( `1 R# n, N) g
let sum-money 0
; `3 J2 J: c! L& [, j( ^6 Jwhile[ i < people]8 v9 O7 G+ n; O3 m( r
[$ z0 \* P& j1 T0 S) Z( s" b
if( length (item i+ ] W( A4 i! I5 g- g" W% H% ^6 f) a
[trade-record-all] of customer) > 3 ); m- ^/ u# y. f
[) g# A8 G$ b5 _
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))# q# ]" }0 \; q+ k3 ^2 ~# o+ c! ^3 y
]+ Q8 V$ U( v+ ^* G5 L, E
]+ j: o6 D) X R, u0 ~
let j 0$ @" }# f. v o- M( p' u, m6 P
let note 0! P6 Q: }0 I$ S) I0 G. l" G
while[ j < people]5 l7 }3 P3 `7 m( X. D7 f. Q0 A
[
7 v: o; w1 @! p- ]if( length (item i
' C' T& Y" r9 [, N[trade-record-all] of customer) > 3 )% C6 }7 k: F& Y- C }6 C. g2 W
[( x' z2 b# c3 S h( F& u( t, Z
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)9 t6 I7 F' g8 c2 R( |4 K! m
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
6 G. K) ^+ j5 c' k: ^% A5 P[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
. ~) i% L( j& q7 R]
" j# ^# B! n$ t* Z. U, t/ ]]
: N [+ t; x" I1 H- o) {+ E! s9 cset global-proportion note1 v+ l+ v# l; c5 {* N/ ~1 Q
]
4 C$ i% H. c/ B% ~- uend
7 i5 h7 B3 I. q0 M: c Y4 P
! {1 c) F% E2 s0 e( S0 Xto do-trade9 Y- ~6 @ D5 O
;;这个过程实际上是给双方作出评价的过程
& f; r# N+ {! `( k% ~+ `. Q! Yset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价' r9 s. j+ G7 h5 N k: b. M
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
1 o r3 F: g: c9 L- Oset trade-record-current lput(timer) trade-record-current+ J; p0 k( n$ f1 q) M
;;评价时间. o. F1 f8 b: j( ~$ U7 o
ask myself [
, r8 r" y5 i5 Jupdate-local-reputation7 d1 v& j9 D, E( Z& I
set trade-record-current lput([local-reputation] of myself) trade-record-current# K; k- Y, K9 t: V! V
]* {8 @ T$ z" e- U% |
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself p( y( ?0 g/ ~+ E# T/ b3 P2 s
;;将此次交易的记录加入到trade-record-one中" s) f! a& m) _2 [" P8 Y
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
* x$ c" I: g( f; Plet note (item 2 trade-record-current )4 r* Z, e" y* B. a S) _; ?) G1 M
set trade-record-current
; g( `, N7 c$ ~% u2 o9 F9 w+ ^% w(replace-item 2 trade-record-current (item 3 trade-record-current))- A0 R: M! l8 X n6 t/ ]; B
set trade-record-current) z2 ]" G/ `5 y; ^
(replace-item 3 trade-record-current note)
{* V% @2 _- o
& ~8 J$ i- \# u- j. h% U
3 M) E+ h# |0 U5 @ask customer [
8 l& R0 K, V4 q& U6 E; D/ R z5 s7 oupdate-local-reputation
" Z* h4 X3 [, X$ Z$ C" `0 sset trade-record-current: T3 u# h6 B4 B7 x4 g
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) ) w3 ~0 N+ m- R( d* `) w, `
]
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; u0 J1 M( ]* w7 i* A9 p8 T
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer7 a, Q% O7 u# c8 E6 p
7 P$ c$ Z# _9 p n5 D7 X' E% Vset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))* Q" t- F6 S3 N M
;;将此次交易的记录加入到customer的trade-record-all中
! f7 b( E8 H% I" |- g! eend2 F( ~2 c: n% m. V3 c( s7 L1 z
4 [; ~" _2 h) k1 o* U2 I/ ito update-local-reputation
3 t% r, E3 H6 h; ~/ y+ bset [trade-record-one-len] of myself length [trade-record-one] of myself
1 M2 Y4 E7 w5 z; I& y* c* G7 F/ o9 }' V) l; m/ j
1 u9 u V! m: c8 g g2 Y* n
;;if [trade-record-one-len] of myself > 3
: D0 ^4 z7 v u/ f& aupdate-neighbor-total
, e2 Z/ q9 o2 ~& m9 |; v;;更新邻居节点的数目,在此进行
3 f$ {9 b, {5 P. m% x9 ?; clet i 37 @3 M/ m7 R6 I1 }3 q0 v
let sum-time 0# D1 u# v, w( b# }9 Y j: R; i
while[i < [trade-record-one-len] of myself], s) A X. c/ c, y! F1 Z
[
$ s3 Q( A* o. vset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )% v6 @- e& \/ L
set i% x! `# j5 B* y5 b" |$ @
( i + 1)6 H' A, G3 m5 N
]
; h% A$ E' a( k, mlet j 3
& }+ @0 l6 @3 }0 H1 d6 G& P% xlet sum-money 0% @% p6 ?8 B7 C
while[j < [trade-record-one-len] of myself]$ z1 r5 ]$ @( x& r. _
[
0 }; y% r. y7 T- X% T7 qset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)5 e2 B, G3 F+ i8 @$ q1 p
set j' S) Z) n5 l' x- c8 E7 s
( j + 1): F7 I3 r! j( K* k3 z
]9 s9 d1 g( w6 X6 C5 t( u+ b
let k 39 G; U$ f. q. ?6 |: c+ t( d. o4 `6 b
let power 0, C$ e7 c0 G$ t) C) ~
let local 00 w, R0 k1 E) H% U* |
while [k <[trade-record-one-len] of myself]- i& ]$ z' O G+ T
[, @0 r) v2 {8 l1 a) w0 A) q1 S1 X
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) ; Q) N) ]2 ?- G* H$ ~( J, M! _
set k (k + 1)" Y9 r9 x8 K, `; Z' T$ K
]
$ m, A; G) S( g* @) ?* @6 f5 R/ A( aset [local-reputation] of myself (local): y/ o0 s5 x7 M; T& D! O) {8 E* M9 e
end4 Y9 Q2 \8 s" @0 X* F; ^
: m3 @6 [ U/ U6 c, jto update-neighbor-total5 r8 X7 `7 `) G! X
6 v2 _# L0 Z: ]/ j0 R( ?' s$ g& Tif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]% S$ \+ B5 N' X, m* M2 ^- E
5 |2 t, \* A k% l1 z Q0 i0 g% {
* M( y$ i: G$ l( Y' Mend
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to update-credibility-ijl
+ _/ n# p1 M1 h- T( Y8 | j8 c
& _ s! N& M( v;;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。
$ f% D# q7 c3 _( R9 r/ o% S8 h# C+ Wlet l 0
/ g9 Y m. f8 [$ U, G* J, y* N- rwhile[ l < people ]
, _% I) T$ D, ~5 n* b;;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: e$ _& `$ t' ^- z& o+ z" |) e
[1 }- i% g: G& R) V6 z
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
8 I8 l) O$ C7 w/ W: Kif (trade-record-one-j-l-len > 3)
8 F/ D1 O5 ?5 U2 y4 j[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
/ {; N* z9 h: w# U/ t1 clet i 3
: c4 v/ L% X1 `/ q; b4 u a; slet sum-time 0
6 Y: f- c4 o7 q% I: y( G5 \while[i < trade-record-one-len]4 L0 z% e# X- e, a& v5 O
[
2 C$ U- J0 @6 F" N5 dset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )1 J- z( o) _. @) Z3 ?" t
set i
3 X( H3 l2 i* _: ]. D7 f2 H# h( i + 1)+ f( c* F) r+ M( P1 R" O; m( _4 L
]3 Q2 W# V& F7 U8 B& e3 U7 Y
let credibility-i-j-l 02 g# @, s- k- r
;;i评价(j对jl的评价)
' E6 t& W' @7 m, f. Rlet j 31 A" Y$ A1 m, o/ b
let k 4
1 `# p. h) t5 ewhile[j < trade-record-one-len]
l! f4 n8 Q' p+ G' {& e# j7 o[1 Z- D; {; p2 R! J
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
1 E0 l3 W5 |1 `+ g9 |5 O; dset 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)
. M& M+ N8 n- G9 A) r6 B: V& P5 O+ Gset j
# z1 Q% R4 p, Q8 S4 w/ u% v( j + 1) Z4 i9 X. p5 [7 x& m1 J
]
. w' K9 t8 ]4 e$ ` @; wset [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 ))
3 I8 R. D9 d' p6 N( h* Y( u1 j0 @, q) _5 I$ B/ d
& r v3 l) z$ q% dlet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
5 ] I1 R4 D* G: w7 `;;及时更新i对l的评价质量的评价1 E3 ~0 n- d" Q; c& {0 A6 P3 T
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
# j+ s& n0 X# C7 B, z k7 c4 I7 Jset l (l + 1)( e; V8 ~3 h/ ~1 l2 H" `
]& ^6 r8 s, T% w2 V; q- d; d
end" W' E, K, d5 W) N( X2 J. _! |
+ `5 `! S5 G/ s1 y$ g4 l' sto update-credibility-list
' [* T% b8 x' ]* Plet i 0& {. t5 D! K# H1 L# x* R ~% V
while[i < people]
+ M4 X% S- H: A6 ~' L1 r[
/ E: V& q/ N* d" @9 i8 `4 Plet j 0
9 x- z7 a- f. K8 a. Y: H: jlet note 0
7 ^8 y5 G6 x0 R8 O7 f( Vlet k 0
+ P# a. U& W' H' j* R;;计作出过评价的邻居节点的数目
0 }( R R1 D) m8 R5 Mwhile[j < people]
0 n/ V2 b7 [- v" b" G, w- a4 @7 O[
4 N: \; V" X) y# q6 N( t* Iif (item j( [credibility] of turtle (i + 1)) != -1)# R: h) H( i8 O B6 P
;;判断是否给本turtle的评价质量做出过评价的节点
4 ?( R, Q- Z, p' G+ x[set note (note + item j ([credibility]of turtle (i + 1)))6 N: `* X* d2 Z; v% Z$ n/ p$ c5 ], Y
;;*(exp (-(people - 2)))/(people - 2))]
# S# ] P) h7 D0 C. [5 f- T8 jset k (k + 1)4 h/ ^1 j; W% f6 T! G
]# _& C; R/ ~4 q% H, [1 x/ T& V4 Y
set j (j + 1)" D; r, }( I+ w$ [6 m8 j
]
3 Q# W/ k% [1 @7 D7 E7 |set note (note *(exp (- (1 / k)))/ k): p4 }8 u5 ^* f6 y
set credibility-list (replace-item i credibility-list note)
: @4 u" t3 `0 ]- Rset i (i + 1)4 o, k+ j% G- }* j5 p$ }* p
]
# }' }6 {* b+ e7 N+ z6 `end
, Z! E E% E- t
. w1 Z5 p3 U3 |& d. b5 {to update-global-reputation-list4 z8 a: A% @& S# P7 ?2 M
let j 0
, O% ], k7 R' m+ i+ a' h5 gwhile[j < people]
4 b' g% T4 i- m8 e7 }# y[+ i( V1 w5 |( g% f: c
let new 0: e2 w( [6 T& H+ H n
;;暂存新的一个全局声誉# L! X, h# M6 I7 W: j: g- M2 B* G# j
let i 0: c5 h: }2 l5 X* V- v
let sum-money 0/ }5 j2 V4 O8 l8 v& O$ N: C: d. \
let credibility-money 0
5 R z+ ], q: u5 X2 Kwhile [i < people]; A( g& R- ^# m. ? x
[4 G5 d2 [( r# V" f3 e& s4 o
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
, Z+ b& z* }8 Q: H Jset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
2 u$ }. f8 j& D2 D4 mset i (i + 1)
" q" v4 S+ V1 p, Y% U2 q] e( t5 U, |. q0 C6 A
let k 0
$ S ?6 a! }7 Xlet new1 0$ j2 ?, X' f) g+ X" e7 L
while [k < people]
; A) M( @2 b# W[& x3 G) B( a5 e/ J% S
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)
" v0 B; y9 d* b7 Uset k (k + 1), ^# u7 R( y3 F7 h o' U7 ]/ c% U
]- x" D8 ?1 z; v+ J5 J
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
6 ~7 E* `/ h7 M7 Q; D7 N1 Oset global-reputation-list (replace-item j global-reputation-list new)
0 [% g6 P& W; m. Y' fset j (j + 1)1 j0 r4 K, B- e! `. b
]
0 W) ?; Q& E+ M6 p. d* xend
) a# N3 M7 N/ n7 a- n: ?: `& S8 \/ Y, G# ^
& R q" M, l" r' j* H, z
) n0 b4 x# R! T7 Ato get-color
$ |, S) o) w( N, K6 N }6 ^ F* c% q$ r& S
set color blue% t( K, x% F2 `/ R* f
end* M! m+ U) v- g' q7 ~
4 Q: U" b' N% ?1 C) r) [to poll-class( ^ R I" v1 R [' x/ C4 `: ?
end
6 ]* V" ^8 [7 T/ L) ^5 y) Y2 ~ j- r) l! X; _" ~( C! \+ C5 @
to setup-plot1! c! U+ y$ H, c/ B% O+ R; F
5 n' P; E4 E: T* v$ \set-current-plot "Trends-of-Local-reputation"
, k( h; `$ D$ [; a9 w# @6 ^2 h5 a! ?/ M) V# c, a
set-plot-x-range 0 xmax
! N5 x5 [. l, Z2 W3 I' r$ O/ g
. u9 _2 {# V7 A: Bset-plot-y-range 0.0 ymax& i" P4 ]1 B; u2 c; t. r$ `* C
end8 ]/ g" D/ s, z! H5 k
8 L1 o3 n8 n# V% ito setup-plot2
0 G6 G, O6 C6 [0 C* i. D0 X' O4 g% y2 [8 j- ]0 @$ [
set-current-plot "Trends-of-global-reputation"
$ F$ w1 ]; O6 n% M4 V' L9 {: K5 W! |) G' C
set-plot-x-range 0 xmax8 H E* \& m9 A; X
. W3 X' q" G4 n6 E& \set-plot-y-range 0.0 ymax
0 e I& [3 h3 q( R0 ^- W9 s, cend4 w0 F9 m& y$ l. L5 W
; f( S& T& J* ]1 ^9 R0 ]
to setup-plot3. j* @3 W% H) } ^! `% O
X( ^, {+ i) D+ h1 p* C9 bset-current-plot "Trends-of-credibility"5 J9 l8 E7 a! u. p* H
* Q3 R. M3 S. y8 ~* lset-plot-x-range 0 xmax, o/ j; ` v Q9 w1 {5 ]: L) j
7 m& f+ D M& v6 v% ?
set-plot-y-range 0.0 ymax0 b7 B0 D7 d! H
end
" E: i6 B' K; m/ t, K& V) I4 a0 i1 j! f; h
to do-plots
; v* a9 k8 x7 Q. i. U4 Dset-current-plot "Trends-of-Local-reputation"
3 S: J) w5 v3 A% M0 Iset-current-plot-pen "Honest service"/ B, ~9 C4 J+ a4 R
end7 G9 K( X) ?$ Q
4 [9 s% Y7 ?4 [* o* ^& ]6 Z8 }$ {
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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