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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/ m* _, A) Y) u. |0 X' p- X) j- P
globals[
( N5 n1 F R# l) x9 o( u& Zxmax$ T- D4 r4 S; I$ ]$ H8 I- l7 h
ymax
; y% [! Z% f/ G1 Pglobal-reputation-list% S# Q0 f: u! o5 s+ A( x$ K
* O3 c/ T. L H# d
;;每一个turtle的全局声誉都存在此LIST中% k, F0 U4 \8 k: K- `+ W3 R5 S# y
credibility-list! f# C4 z- U$ O' r
;;每一个turtle的评价可信度# I N# k% a4 f7 s+ i- c$ F
honest-service( z3 R0 \8 C1 x& {) u
unhonest-service% z$ Q! Q! X* E- l Y
oscillation# X' I8 _, J( Q) @& e9 d3 M0 N
rand-dynamic) x9 \" m3 C7 s. y4 [2 @$ B
]
2 `/ L5 e' ^2 m( k
% P- `) K# s0 Z$ p" gturtles-own[# x4 c1 ^& z0 Y( w. o [
trade-record-all
( B5 _) g% z5 {) o;;a list of lists,由trade-record-one组成 [* U& O8 Q* k7 A0 W) C
trade-record-one
3 P( I. O" I7 a6 f8 n: 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" Q; J2 h/ r4 b. d" r! E
7 R3 D! z5 x! A
;;[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]]% [. Z/ l! U8 C, P: Q X$ G& x- U/ u
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]& T3 D2 v9 M) i `
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# W, x! D" Z H" ?9 X$ g, K% R5 y+ A
neighbor-total$ O4 `4 m1 q$ k
;;记录该turtle的邻居节点的数目
B7 R% ^8 h) I+ H5 v1 B: l$ atrade-time
8 ~& \9 c! @$ o+ D9 J3 |;;当前发生交易的turtle的交易时间
1 M6 ?$ Q7 x6 S3 N. M8 Q cappraise-give6 Y) t0 ]3 w4 p' y
;;当前发生交易时给出的评价& c7 ]3 M5 ]2 X5 M! j' e
appraise-receive
) s, }$ f+ V' `7 I. X;;当前发生交易时收到的评价
6 `) a3 @: r% _. m+ s9 f) F) c3 Vappraise-time
2 z( m# `# i& i;;当前发生交易时的评价时间" G4 E& m1 A1 ^. L/ W/ C
local-reputation-now;;此次交易后相对于对方turtle的局部声誉
+ m3 ~2 b3 T- N* t9 vtrade-times-total1 g5 F K! f0 l7 i' T, H* j
;;与当前turtle的交易总次数& s. d, T. z% W2 h+ X2 k: b7 B0 d
trade-money-total
5 D, N* Y2 O1 `; k5 @;;与当前turtle的交易总金额- W6 `2 q# `& h, f6 p
local-reputation% \$ u9 l- J6 W h4 [
global-reputation% X/ K' H, G! R. a( d2 V R
credibility- ^, o3 C$ Y( ?+ X+ u; j( j
;;评价可信度,每次交易后都需要更新
$ D, f! a9 B# U( s+ K% Gcredibility-all
l5 `, n& V& d* Z4 _- h9 q;;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' Y" R% @/ K# r- U% E! y" C; g
2 ~5 ^6 j- a0 ~ ~+ c/ x$ V;;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0.55 ^& w, c: o7 g& M" f, x- n
credibility-one/ k/ _4 u5 h" p
;;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) g& z% B2 u# X7 X( c S& S8 r. y4 h
global-proportion
6 Q \2 _; Q) q5 O" |- S* Vcustomer6 U0 e$ u% z3 {
customer-no' t6 H; i; T" j% ?, v) ]0 M
trust-ok
$ l" K6 k7 [' F1 n9 U* etrade-record-one-len;;trade-record-one的长度$ C" D1 C& c# O/ Q/ q8 u
]: n, B: x* L* _: S* E
7 g9 _) ~- \2 g1 y, b
;;setup procedure
2 A6 e& a( l( }( s6 k6 p" h5 _+ S- R: p6 @
to setup
+ b- j( x# H! G; g8 k! H! C5 D/ q
6 Y3 V7 N+ x, p' }8 Fca z4 e- s K5 |8 D% u
1 Z. A7 C x& o1 I+ D1 rinitialize-settings
3 d0 t6 ]6 V/ l; f; @$ P6 o# H
0 `7 I5 p) k# ^4 C2 e, V; zcrt people [setup-turtles]
2 I) J; E) _3 Z- k1 h. T
7 }: w6 x+ c4 j9 T2 Creset-timer( l( e# v U9 W/ a7 W
7 v( _$ i8 z. K
poll-class9 R3 ^+ v$ y" ?$ i+ c6 I
6 q; X4 x4 |9 H4 ]3 @setup-plots z5 j" f a7 m, C0 Y; o$ y/ [/ @6 D
z( A1 h) y7 O, Z5 L% {+ j
do-plots/ E+ B; l8 z2 {8 z( {
end5 D- M0 t; p( r/ ?% o6 s
. ]5 h5 v4 V s* L _- x6 z' Nto initialize-settings/ I; x) F( @8 o# u* J. D
* |+ O. S5 w, jset global-reputation-list []
2 M: L9 S7 g. f% o5 I% p, [8 I6 j6 Q6 I0 a) J, M; P, m: g& ]
set credibility-list n-values people [0.5]
/ U+ y; o5 b& I0 S; J
4 e9 U+ g0 J( Z5 |, A8 j4 C$ _$ E tset honest-service 0
6 |! z \# v) s2 A F, p# N" J
- {" u2 h. _# o& r5 {set unhonest-service 0
4 |8 T1 o5 n/ O7 }' E# i; R& X2 v' Y5 V0 r8 m. b1 ~4 m+ \
set oscillation 0+ t" M: X: f; ~& }& u- U& _
- m7 O" I* x& C, u' `
set rand-dynamic 0
. v" D$ C/ T" iend% E4 y+ V* L. b3 u
' u. N0 M/ x' i$ Q0 t
to setup-turtles
/ O% e, `9 n' q1 o& X5 Zset shape "person"
1 m8 K8 y1 N; Z' {1 n- ksetxy random-xcor random-ycor, s$ A' _. n" q* j5 F" s
set trade-record-one []3 d9 E0 B0 j: f' X) o" _( P, [
* i; @( w% O8 X5 q2 T
set trade-record-all n-values people [(list (? + 1) 0 0)]
a9 U$ u4 y* I, L
# [- _) l" I% ]0 D3 Nset trade-record-current []% P! e8 d& _/ }. r4 O$ v6 W
set credibility-receive []
% E- \. ^1 S% d' m) P, Kset local-reputation 0.50 E) L- v+ m) h+ s
set neighbor-total 0
& N; w H! p3 \. B& d# x* i$ Jset trade-times-total 0
/ M# i( ^2 ~- D6 aset trade-money-total 0
S2 b6 p& I5 s5 t8 E( V mset customer nobody/ W7 I* b+ _/ p5 P( H& Z% j
set credibility-all n-values people [creat-credibility]( y' q# [' ~+ j
set credibility n-values people [-1]
+ U. b5 K* X7 J, Uget-color
! G- f, K' _) \: K m; I
9 q S4 u4 A1 G9 d- Z- d' tend+ U* q' ^' X; ~8 e/ k8 O) Q
1 a7 g4 K8 P! D+ H8 z
to-report creat-credibility% ^1 {9 J9 k1 l" ? I8 ]4 f" i
report n-values people [0.5]8 e- U5 F/ r& L$ F5 n+ h
end
3 G% k0 W2 I. b* a8 v1 Z$ r. E
$ ^2 X: u# [! N) B* X: cto setup-plots) P9 [2 F: a" G8 X
: U7 r* j& g' a! w/ kset xmax 30
' p$ _9 A& h2 c* |4 O, u
1 h8 Z, C {- C+ u7 yset ymax 1.06 P# }0 W5 { V G1 w
( X1 e% U7 K2 W) q
clear-all-plots
" V) ]& ^& G& q6 k) c
3 _' _5 ^) Z7 g* L/ C) f v, V9 Dsetup-plot1
# I1 E! q6 p# _6 }
+ C1 p/ U5 a! Q' Osetup-plot2- u, v7 A9 b! a/ L0 h8 L$ r
; S$ f1 X* R ? v# h, Y3 u; K- Msetup-plot3
( F- @' D- \ d3 Lend0 b! v1 e; N7 _5 J
' J O1 e6 R: X( H;;run time procedures! d. w j6 F+ P1 X
5 [6 H. }: Z6 Q8 R0 ?% g9 l3 `
to go
8 i' i- T W9 F* ?% R2 o' r y# e/ _5 v8 [2 f7 W# Q# ]' S
ask turtles [do-business]
+ s* I$ y* g1 p( N6 }end" F1 q8 e% P! P$ S
! P0 L# Y8 V: E7 g$ U
to do-business
4 w$ x# n2 L* o5 K' }6 X+ c2 p8 U: h* u
/ u( Y9 C& K# P X+ O' R
rt random 360% F* p- k" i5 a: Z7 h6 w4 i
; i* ~$ t- q0 M
fd 15 w K! k8 P% f$ H2 T
0 ^5 z2 g' `) O: Z' c5 a0 y+ J
ifelse(other turtles-here != nobody)[
! z" a R" e( X" ]) T# \
6 A8 p/ B6 Z0 P* O$ Z4 sset customer one-of other turtles-here
3 U) Z7 I5 H; n. [# W/ t3 V5 v! @" v$ T2 W5 y
;; set [customer] of customer myself
5 y* M4 E, i8 ` i4 G
- U: T0 u2 f( A9 |7 ]set [trade-record-one] of self item (([who] of customer) - 1)
. {$ P( L3 B1 w# a; t& d[trade-record-all]of self
0 `. A# U1 L* @: Q: Y, y. t0 d;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self2 r4 {) u! Q9 `( t
) G# L; Y7 `$ A4 t: Lset [trade-record-one] of customer item (([who] of self) - 1)* F8 H- R/ a) t r$ h
[trade-record-all]of customer. B6 `+ m0 K& d; f% T
( P* b" X7 o( H0 v3 d8 o* b
set [trade-record-one-len] of self length [trade-record-one] of self
/ o! P% I7 i$ p8 D! @& E9 l* {
8 y1 C2 j/ n; U8 p) b8 Zset trade-record-current( list (timer) (random money-upper-limit))) ?! [$ J+ x8 q
* C4 a5 [4 @% ]! Z2 P
ask self [do-trust]
' N4 Y H) E/ G; r" p5 Z6 S;;先求i对j的信任度
% [( n3 ?3 l2 m j+ s' K* N2 {8 M2 w" y5 u1 e
if ([trust-ok] of self)
; F r) {9 G, }3 R0 B. l" J;;根据i对j的信任度来决定是否与j进行交易[
3 @! x. }* d* \0 ], g, n/ sask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself3 f j5 L: `; x( c& k. N7 ]
4 E$ s9 O$ g+ E m/ h
[8 P& K, s" D4 r& Z0 I- f; L( G
6 q6 V* Z9 E( D, A! w+ O% Z
do-trade" n- J: j J* {; S& A) u
6 j1 c! e G" _1 Qupdate-credibility-ijl
% O# k- O9 J/ d/ d% ^5 x1 ^2 L- h6 p) o; }8 W4 b9 `9 ^% J U! K
update-credibility-list
7 A/ s r! B( ]
( B/ \, u7 z6 d0 }8 w3 i# T6 }; C' R0 ^% e* L4 ]- ^/ ^% G
update-global-reputation-list8 M0 i1 h% y3 m& x. n( h+ c
/ u: E6 A# C' @- B0 k$ e' g% mpoll-class. H! _, {0 P& U6 _
7 ], f/ B' N2 g8 b8 @+ X
get-color
4 | E3 {5 I. k* m: u7 M0 b
8 d. I$ f/ e( M, j1 ~ t]]
- N% f8 c5 @$ ^* t# u* ~& r9 S( B. ]8 H$ d( Q/ ^0 r4 u. h8 t! F
;;如果所得的信任度满足条件,则进行交易6 l5 U: K7 y7 V2 \# \* q( P
( V* l& i# k, _) n- Z4 b8 d[8 j+ d" l5 X6 ~! M# b+ u$ V
2 I) h8 a0 S9 H0 O* N9 Y! y0 Ort random 3604 j, v! G; o$ g. L" r2 `1 d: |
N% S b- B. t8 D7 L
fd 17 Q; A' \$ v5 k. ?
7 z6 t8 O: z2 q- N2 }]# X# t3 G# c* F/ U: v( {$ E& f
# w Y. h* `" h& k& Jend ?+ Z6 c+ u0 C! e5 L; a
% x2 N/ C6 k- ^ ~7 Z: Q: u
to do-trust
3 Z* b' v6 i) ?9 Y3 w6 Gset trust-ok False0 {8 E; Y0 n) f2 p+ ^
! ?- e. D2 N8 D8 p1 K! x
0 z: e, x$ ^2 y6 k- m+ mlet max-trade-times 0
+ d5 b! O2 R* Y uforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
. ]0 M' ?& \# A" c# d( Elet max-trade-money 09 K) ~+ i- ~+ Y
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
0 w3 m7 K, w; Llet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
8 r, S* ?% H. o, R/ `8 I
8 ^8 n8 m3 C0 \6 O @0 j7 w5 B+ |
2 Y" |' W2 y; k0 [8 bget-global-proportion
' R e' [& p* l2 Olet trust-value
$ O$ T* @. N& X; slocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)3 _& s4 c, t# a1 k4 T7 ]
if(trust-value > trade-trust-value)
# C" z/ S! u) r, c. P" I[set trust-ok true]* h$ ?" H9 c' G6 b! D1 C
end
8 B$ [0 @& G K0 q: z$ d" a& ^
" j2 d1 e5 Y# v8 Q5 Cto get-global-proportion- w; [$ ]0 B7 X0 |6 p
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
" Q( d" S6 U$ p7 B8 _: F[set global-proportion 0]
. } i2 g/ ?# Y1 p[let i 0
8 O& X( u1 ?" ^% l4 b+ olet sum-money 06 E: h* B, X8 ?" R0 L, p
while[ i < people]
4 j5 D$ u# P0 l: x[ n* x' p! w: k
if( length (item i2 x; E1 f2 n4 Q7 h. J' ?: x2 l
[trade-record-all] of customer) > 3 )6 t {3 K% b" U/ A# t! a
[
8 q% h4 A1 b7 B- Wset sum-money (sum-money + item 2(item i [trade-record-all] of myself))8 `. p- K0 @6 D1 w- g2 X6 S6 Z+ k0 d
]
4 G- D7 E7 o( _# i]
0 A- Y, ^' g) L, Z9 o* Dlet j 0/ q) U7 t) n5 [" j, h$ ?
let note 0
% Y/ z% y$ D7 [( n/ Qwhile[ j < people]. M$ U0 {( X. x5 p$ |4 O
[/ ~1 @# B, f0 F$ R+ w1 y4 z1 e
if( length (item i# D7 V/ [0 C4 z& S0 D8 R2 H
[trade-record-all] of customer) > 3 )$ r) ^- H$ j" j3 p9 ?/ E
[
' k8 C9 F; T0 T. H7 V! T6 Q% B2 N0 T1 Zifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
1 c! ]) B6 a6 I" g( n8 `6 ~[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
; |8 W( E3 _( g4 _+ S- G+ B5 B[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
$ v/ q8 t' [ u! m- W) n+ q/ q+ B], X4 L/ Q6 h! C/ t" Q- O- B
]4 `1 _% k% [/ g* o7 I; B
set global-proportion note
& |+ z& X1 P1 ~3 R/ s; I# d/ w0 j]
7 t$ s2 G0 u* ^/ Vend
) b+ q1 ]9 I' Q) F
, M3 e4 i; `/ [& J% F* Wto do-trade
* O6 X' q i; Z/ y' ]3 S' x;;这个过程实际上是给双方作出评价的过程
2 V9 {9 m; H2 f- Xset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
; P% ?, J8 w: w( @. eset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价: x. ~. _4 e# J
set trade-record-current lput(timer) trade-record-current- ~* t2 m. U; y1 _8 B8 f- ?: }
;;评价时间
; _; k, K8 b& ?1 dask myself [
% l2 u9 Q! T0 w8 M1 Nupdate-local-reputation
- E0 j( j3 o, u; W5 nset trade-record-current lput([local-reputation] of myself) trade-record-current
8 Q5 u6 F9 W \/ L+ v9 O]
, h2 p1 t6 a# |9 s; v1 lset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
. P+ Q; |6 g2 k;;将此次交易的记录加入到trade-record-one中: K" o% E5 e9 L! x& g* D" l
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)! E0 i& L# J. n0 b; `7 L/ ^
let note (item 2 trade-record-current )
# J. N- K* e. @( |* p4 Xset trade-record-current# l6 q* y- _1 t' E
(replace-item 2 trade-record-current (item 3 trade-record-current))& \ ]) \) @' |8 R- p# w) G+ Q
set trade-record-current
* |) h8 J! T. a6 k* s(replace-item 3 trade-record-current note)
: s; u& W9 Q6 y
4 H: x e% |. C
) H) t4 A# L: e3 L( b/ qask customer [- n6 ]1 ~' [; Y7 ]
update-local-reputation
- ?- O% n+ C+ l& t- Hset trade-record-current/ ~# h0 g, n9 Y6 a3 |% L% S7 \3 w
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
: ^* V9 {' o+ t% D( V]
9 p8 V+ A/ J1 _$ U: [, v
. T( V' Q' G" ]* K; s1 Z
. E- X( Y: d# C7 ~5 l+ |set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
; n& R7 ?5 |4 D* R* w- B& d
) }: I8 [ d9 ~set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
4 @, d" X, h- _% V;;将此次交易的记录加入到customer的trade-record-all中$ Q; Y$ l2 |; ?& h: r2 p
end5 A4 l$ Z& N! w0 s* A+ w
4 x, i% P0 P% B8 A! e+ ^) ~; Uto update-local-reputation7 t* k y- |5 Z- z
set [trade-record-one-len] of myself length [trade-record-one] of myself v5 h( v. ?) Q( a( ]; ~
, I$ U0 @6 f) j, T/ @# q# H: y, ^/ E J% B
;;if [trade-record-one-len] of myself > 3
! N. c4 k6 ?* s+ j3 C9 Pupdate-neighbor-total$ T$ w. o' M! D1 w5 o, y- U# Y
;;更新邻居节点的数目,在此进行. D- Z' v' s8 N
let i 3
1 s9 W4 X6 T3 M I1 d3 Xlet sum-time 04 A% u G* z- X
while[i < [trade-record-one-len] of myself]3 ~# Y1 R1 h0 {$ K x
[
# B: X. f( n. U! F6 @set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )7 _% F! I' \% e
set i* D# Z4 A5 D& Q" t8 O0 ]" X
( i + 1)
. c. j# J# a! ^) f: h# z$ _ m3 y]6 l+ F |9 O6 \! i4 `% x
let j 3: {0 V8 ~" _& R0 r$ l
let sum-money 0
4 k4 b- {6 t, wwhile[j < [trade-record-one-len] of myself]% C2 ~8 _7 L# D2 k) L7 r
[
% t" u" @: h( 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)* n) A1 H: ^/ @7 [$ c$ S0 p
set j
$ }1 g8 L) H& W; ?' Z/ ]& {( j + 1)% w# ~( a# O3 |# _; ?
]
8 }- `6 e: E! M$ \let k 3
9 ~; f* Y7 L3 F* llet power 0
0 l4 A" D7 |3 e' K7 N7 `* Xlet local 0
: O7 B2 z9 F) i& z9 v! dwhile [k <[trade-record-one-len] of myself]3 d* a+ a7 F- _) Z5 @
[" X1 S. M. U$ ^& ?; A" k
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) . |2 S* T; g' z6 s. d0 w
set k (k + 1)
7 g3 }: O% x. m7 D]
5 c$ H0 W; }* S* R* M" Wset [local-reputation] of myself (local)9 k" x6 d5 C4 S# v
end G2 p+ e+ M. h8 _" Z
. Y/ n) A. C. @5 l. Z, V: _) oto update-neighbor-total3 k" r, G+ ?" l8 x5 M W
$ H7 I2 [7 k- F5 z
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]" \$ ?# B; N+ J4 C# O3 m$ c$ S
|/ c5 {- h5 b
8 n& p. n% r$ x5 [8 ]end0 k. i/ I! v9 c* O
4 C2 k8 D6 w5 Xto update-credibility-ijl
* ]9 O/ ?' o# E% O* D7 w% v2 E( K& h/ L. V3 v9 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 {5 d# X; o4 e- z0 ilet l 04 @; ?* Y9 V0 z! b9 }4 l' m
while[ l < people ]
/ H+ y3 D: f |;;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- k7 y( F2 [0 i. a6 [3 H2 Y5 I" q. b
[
8 T, N& n( ~5 _let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
8 b$ J3 E5 ~" n1 T! P# K! M! Fif (trade-record-one-j-l-len > 3)
! A$ |" B+ a/ r* e7 N* U[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
+ q( C/ c) C# a( ~let i 3
5 Z, ]' E1 v) _' V- x* ~let sum-time 0
: u. I2 j) M% p$ ~. t5 q8 kwhile[i < trade-record-one-len]
$ ^+ s! a1 `7 b/ y4 C+ i( Q[. X% M, X1 I- S' n) o) J; H
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
' V: @% Z. Q' s k2 I- \& j3 g# ?+ Vset i" `3 s4 J" J( w( X. F& `
( i + 1), j9 y1 X% ]" ~, U
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let credibility-i-j-l 03 T; G: ]# Y7 j" `; c8 Z$ u) b
;;i评价(j对jl的评价)1 O- A8 S. K8 \' x8 {: T
let j 3
$ s L. r( {7 q! w3 R* t. Y# q: [let k 4
4 C* ^5 E+ D4 owhile[j < trade-record-one-len]
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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
! M; o& X' _9 Q6 D$ |% A2 Q: {# aset 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)
/ {3 A+ ^! i& ]% p6 f/ Cset j
& O/ z( E9 _* M( j + 1)
0 Q0 m; P# Q! k ?: q( D. Q' q8 N]& b+ X# P% s6 j5 m# w- ^' W' |
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 ))2 W" l' y) B' \ ~5 u: B( ]
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let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
4 ^$ F( s+ X; v$ g( [$ [( T. f$ v;;及时更新i对l的评价质量的评价3 o$ t: D l1 Y: u8 x5 i8 v
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]) o4 Y: U' c. m% s0 A6 B
set l (l + 1)& j' I* x4 f% A# y8 k, s% d
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end
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to update-credibility-list
2 }' M* m7 p6 U( L9 y2 }let i 0( N: l% p3 C& j6 c4 n$ `$ \
while[i < people]
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let j 0! T6 w! n6 }% f0 X' `8 i5 Y
let note 08 X' u9 R$ w6 z
let k 0! u8 u+ E7 z H; u* O9 r
;;计作出过评价的邻居节点的数目
. d& l& n' I- J7 ]9 |9 [' L# q& vwhile[j < people] ~4 y% \; |, W w: H. t9 S; e
[$ R) y Y$ a9 P2 h' E/ D+ g9 c! T% a
if (item j( [credibility] of turtle (i + 1)) != -1)
' N$ l0 n- ?& C$ W. f( Q;;判断是否给本turtle的评价质量做出过评价的节点
6 f! W- G5 w3 d" K1 q: u[set note (note + item j ([credibility]of turtle (i + 1)))
- {( `/ ^) {( y! n;;*(exp (-(people - 2)))/(people - 2))]
( j# q& y- e5 N# N( L& G" S* H5 @set k (k + 1)
: \2 B* z0 f0 `]& h( p4 Q _. O
set j (j + 1)
- M7 \* f2 F3 \. c& R1 K# K9 `]
7 ?( ^) k3 X( y: q3 N8 wset note (note *(exp (- (1 / k)))/ k)
7 B' Y2 D* V0 T8 S( Gset credibility-list (replace-item i credibility-list note)
e6 t2 B) D7 s+ r3 }' fset i (i + 1)
N% O9 R9 H, A* {; y]' }4 j- h" m& ]$ i. ]; ]
end' e$ K7 o' {. L* S/ D0 h# }
) ?. w2 c* c) E4 E2 }8 Yto update-global-reputation-list
6 A Q# ]% B7 q. D# v$ {& M9 mlet j 05 }5 A E, B( w/ Z5 O7 i
while[j < people]
4 |5 u# J- h% I. h' F1 l2 x[
5 L. P* w$ d( c0 t: ^2 ?let new 0
2 M$ Y) H+ x1 a7 t* b;;暂存新的一个全局声誉
! @; Z7 t$ [' O5 u4 ulet i 0
1 ^. b5 g, K4 l! F! h% v# J# p% Glet sum-money 0% h( K" N! ~# S3 g
let credibility-money 0
+ O* f; C+ h p) n/ A9 T( Mwhile [i < people]4 M0 [: \7 V! {* c- m+ p: _$ r7 W; M; ~ M/ u
[7 ?4 J/ ]/ q4 p6 g: G- u3 O" T4 O
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
+ e0 G; F+ D) A4 S6 j# mset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
y/ a4 u0 Q& L H, {* C6 U( eset i (i + 1)" |% k$ Q% t* S3 C2 V- L) b
]! i7 z$ z& E' x' _ W- B2 r; r4 X& M# y, A
let k 04 P4 `1 H) c, m1 a5 W( j! `/ M
let new1 0) X; O4 k- [( B8 t
while [k < people]; A* \+ R& {. J
[4 z9 O' }+ P% g% [8 F
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)# {# u7 T( b9 e. B7 _6 [
set k (k + 1)" C6 h& R7 [8 q6 M3 V# ]5 J
]/ r4 T% `7 a1 i! k
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
5 W8 ]6 w( I# P8 F! U9 x0 Wset global-reputation-list (replace-item j global-reputation-list new)8 j' E+ R; w2 }+ H6 t% I
set j (j + 1)+ ?8 x! K( K6 m" X5 z& f# r7 T5 X
]
5 ~* U" n5 P, d' I5 yend' i7 i0 y9 {* K* |, M0 [; b0 F
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to get-color# `# b; w8 E3 Q* a$ s
: f# g) k- z1 wset color blue* k8 c: }' S3 }2 z B2 n
end( m9 Q T5 \% H2 L
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to poll-class- ]# E2 g3 U6 p5 o0 i- y6 l$ `9 ]
end
; O5 |& _( a) A; p
" ?7 g2 S- n) Z& y' N0 t0 Yto setup-plot1; q, q$ r" L0 P+ W
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set-current-plot "Trends-of-Local-reputation"
; m$ W* F( {8 @, B
2 H- m5 \- o9 jset-plot-x-range 0 xmax
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set-plot-y-range 0.0 ymax2 Z! i7 r9 _. u
end5 C) N# ? {7 Y. K, K5 c; _/ E0 E( ^- x
- ?0 x- D3 Z& V y- B( a* tto setup-plot2
: }9 d8 Z6 C7 e! u2 z( D8 g; |" k
set-current-plot "Trends-of-global-reputation"' S9 P0 _- L( K8 J
7 O, E5 Z$ R* [
set-plot-x-range 0 xmax: }/ @ a5 s; `
+ y3 P; @7 C( j0 c3 X8 i wset-plot-y-range 0.0 ymax6 _7 `1 `* |% g u( G/ ?: d
end
9 I- h' w" y t7 H3 Q" T1 i
; V) r; l& F, h$ W! }to setup-plot39 G9 V0 o3 p2 n) J3 W
. s; S( g+ N. Z! wset-current-plot "Trends-of-credibility"
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- { c/ D3 g, fset-plot-x-range 0 xmax
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5 C5 z8 ` z9 D' R) g/ Kset-plot-y-range 0.0 ymax: M- W8 ]2 E4 Y$ G: l: U
end
1 k9 h$ [' e: I" U! E* k4 O& E) h
* e% f6 p' J; hto do-plots: c$ u$ c2 }0 N u7 E+ E
set-current-plot "Trends-of-Local-reputation"
5 U! `! W; i a1 l. y/ eset-current-plot-pen "Honest service"" u( Q3 z S* R4 ?7 o8 m% A Z
end: @- w! g- Q. n. e! A
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[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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