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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
3 D3 m5 w7 \, y/ k" Mglobals[
' O. m% }5 f9 @xmax- _7 f. `" m6 q& n9 e# H
ymax
; }8 U6 O- z$ u% t# pglobal-reputation-list, H$ {1 o9 _& Z- H& O% w
2 V/ W' g5 V% d7 |;;每一个turtle的全局声誉都存在此LIST中
* Q& ?# I- d' V$ ^8 ncredibility-list
3 A3 U* i, g5 r( S0 a8 D i/ N3 f;;每一个turtle的评价可信度
- V; \& V8 M$ y p" `honest-service
) q- Q" e! h7 r7 x5 [2 O! m4 e3 Eunhonest-service
& t3 @. S8 w! s% hoscillation
* ~) Y/ k* {! Jrand-dynamic& V/ N/ d. x. N: [6 ^: a' u
]; [+ |0 I& }: s% Q0 c
x* O4 L W4 X$ O0 ~
turtles-own[; P4 p/ V% J, ?0 {; L
trade-record-all1 Z s* d3 s' Y! r7 z- l N
;;a list of lists,由trade-record-one组成0 ~) V7 i3 e, C% r/ U- G
trade-record-one
$ a1 G8 G5 U8 b- v+ H* e;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录$ o( {0 Y5 W, O; t$ ~$ l# W2 Y* h
3 P/ e/ {2 T3 P$ ^4 c8 Y3 W3 y8 V;;[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]]
; H8 J) r7 i" j% \9 Ftrade-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]7 a; j) n* _8 z; v6 _
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! O/ b4 {# H6 l) T( M% ~; S
neighbor-total, V" {9 x+ ]; Y$ a+ P& p0 [" v
;;记录该turtle的邻居节点的数目5 f9 r) S: O* M( K5 |5 v( i
trade-time$ _( n6 s# j; a3 t' d# {; Q3 U
;;当前发生交易的turtle的交易时间! q- f2 E1 X! k- [) m: X0 `$ Q
appraise-give
' T7 C4 T& D4 t9 V; s: U& G9 S# p;;当前发生交易时给出的评价
4 u4 L% m3 W& g: Fappraise-receive
0 N \( N$ C9 O: r2 E;;当前发生交易时收到的评价, g; Q# L" X2 |! _1 r
appraise-time
4 `2 f1 c% G( \$ r8 z, s! _ a;;当前发生交易时的评价时间
2 i3 W! z3 Q* u* u. ~9 u' Q& alocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
! A6 {# Y, U9 v2 t/ Strade-times-total" `* k! i+ [7 b& m& l4 H" s
;;与当前turtle的交易总次数
! u/ [% z6 N: P' M* W: Xtrade-money-total/ l% \: K6 y8 q. L* M
;;与当前turtle的交易总金额
7 H( d O: g# G9 S% {& ^local-reputation
5 ]0 M8 n" R/ o6 N1 Q7 A8 S( Q: Bglobal-reputation, q% ~1 v) w7 P7 K' l& g) l/ w
credibility" d; o* y" Q( r( A5 O
;;评价可信度,每次交易后都需要更新9 V1 k2 B X0 O; Q$ }6 m
credibility-all1 e6 g8 P9 E* N# d* |0 q9 ?$ @8 A
;;a list of lists,由credibility-one组成。[[1对j的评价质量的评价][2对j的评价质量的评价]……[i对j的评价质量的评价]……],其中一共有people项,根据
2 e0 ]6 v: D, ?1 _* ~" I$ `& j a2 c% @- \
;;turtle的编号对号入座,对于其自身的编号,在计算用到的时候再进行剔减,初始值均为0.5* r V5 _( w; g I7 g
credibility-one
1 s5 F; c" [+ l2 @; s' D;;a list [i对j给1的评价的质量评价,i对j给2的评价的质量评价……],其中一共有people项: Q2 ^( [' a( z1 Q9 C$ b
global-proportion
7 a2 i$ v& ~ m- Ucustomer" O* s" h" K( O- D
customer-no+ w v( v+ D+ X3 l, Z, D- F
trust-ok
/ }1 \. { Q. i8 P- Q+ ^5 C. gtrade-record-one-len;;trade-record-one的长度' k- [# H2 A9 r0 p0 x
]
j8 j+ N9 Y* P8 N# I
( n6 l" N: M0 U+ Z4 @;;setup procedure9 m2 T. S9 t1 Q+ N6 q
0 Z8 m9 \1 e1 K) R
to setup
' @' k, x8 ~8 S0 n+ `/ b* ?2 E
$ n4 A) Z+ h g. o( \ca
% ] N7 w: X# o( F u3 V M
+ l2 y( y: m1 A5 Z! w7 ]initialize-settings
' g: ?6 ?+ f! i# H: l, j
- D0 Q5 F3 n% Scrt people [setup-turtles]* g; Y% u: A# X, f9 e. f( X
' i( H4 D- b! s2 q# S) _- Yreset-timer
# X# P3 |! _) O, y4 `6 D0 w$ L6 Y
0 p* d" Z2 r) H2 [poll-class
t7 z! v9 ]+ p6 A5 ~' G
4 m# r; D% T ?setup-plots
- C& H Y2 H+ Y+ G5 q& ~5 f; G
7 K& l, V- E2 ]do-plots
$ p. i3 Q: y+ J* R: X% rend
+ [: T4 i7 t' _2 z0 t
- ?7 E+ h, @! G* N P) Oto initialize-settings, O6 s3 X: M9 s9 c) S0 B
: W9 ?+ \) ]' m( Z& H
set global-reputation-list []6 b6 y4 t: P. y* s
% N2 u: N0 g" z. O( m
set credibility-list n-values people [0.5]8 d/ z v7 D2 W
( A) x: f/ t' F( ~3 i, f; _
set honest-service 0
6 o/ f3 U. E3 j
+ B2 G4 g& e+ H; y" e) @( iset unhonest-service 0
) f8 P+ q8 K9 [# R
/ |! d2 g' A7 k3 t' xset oscillation 0, ]# Z) @) L- u# r; Y
( S* U+ ]9 ?; Q9 X, |2 H0 _set rand-dynamic 0; X; z6 a8 W1 A
end
+ l* M8 R6 ]* K% P7 E
* [ X0 P; e7 g+ H) a# Ito setup-turtles
( h. I7 y5 S7 r4 i' {8 Aset shape "person"
! h/ _2 X% Q. m( H! E( Q( Zsetxy random-xcor random-ycor
7 C$ u: Y! O* B9 \& b' ~! Tset trade-record-one []8 J: t0 G: {7 g3 @& z
5 K5 I3 l4 i; \( ?' r$ W: Y3 t% iset trade-record-all n-values people [(list (? + 1) 0 0)]
% n; p+ C6 o, m% K9 ]- ~6 w# V8 S- |* l0 Q' Z2 q
set trade-record-current []& O( y' A+ t9 _4 a( @9 S7 C( A) N
set credibility-receive []
+ b0 i. X$ Z! i9 a: fset local-reputation 0.5
9 ?6 F; e6 h) Zset neighbor-total 03 @) e+ `" ]" P# @+ P
set trade-times-total 0' v) O1 y. L* f
set trade-money-total 04 e0 k# t) a2 Q/ {0 R
set customer nobody' B0 z: u2 p! r- Y
set credibility-all n-values people [creat-credibility]) x& }2 m# y. l; L( _& }" \& p
set credibility n-values people [-1]1 g+ Q8 s, F0 o
get-color
2 ? {) V3 E9 I; p! s: X
3 Q7 G. c$ q9 t- s* M7 r7 Oend- z) B7 b$ K% n% |) [
; x) p$ z9 e! j- q4 d/ S
to-report creat-credibility
% e N' c( O6 K2 p' breport n-values people [0.5]% p; U: H) M7 f8 q
end/ x/ d4 V5 ] g
# Y8 R0 v4 f# r1 d2 P
to setup-plots1 u5 _' }4 O& K3 T- i
g3 i+ Q$ x# y% Y
set xmax 30
6 U' m( n2 s. t6 E+ V0 d" `& y% Z- Z
set ymax 1.0
0 [4 }# w# h& q L& R2 `; n% e! k2 g' ^
clear-all-plots
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setup-plot1
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+ r% T4 u& D7 h) T6 O+ esetup-plot2
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setup-plot3# P h9 p e( I
end' c! \! U( e9 s' R- u* L. u5 Y
1 |( u3 n# @! w! ^: s3 v0 N5 ~1 r;;run time procedures
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to go% N C2 p3 [2 E0 L6 A6 ?
% c2 C* u" U! u: ]' j7 V7 j. dask turtles [do-business]; o: t: g( f: |& U
end
+ V% a% B( C2 ~$ {2 @; b5 o9 f& C z0 s1 C
to do-business
& |& Q2 g9 q# F1 \8 }* m
# G, U3 ^, [7 u) F) H% }- s4 F" _, V# w% k" H* ^4 r) [
rt random 360
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3 h9 x' w) l9 wfd 1& a; v- l- d1 ^) {( S5 q
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ifelse(other turtles-here != nobody)[3 C `8 s7 W1 X
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set customer one-of other turtles-here
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;; set [customer] of customer myself
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# a1 T5 N, z% s7 m' z8 [set [trade-record-one] of self item (([who] of customer) - 1)
- g2 t/ M: o6 }# g, y[trade-record-all]of self
, R" o9 s5 ^% e# E( C; ~ Y1 n; @;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
$ u, E3 |. |0 C2 X" D- |, \/ {6 `# ?# M9 a2 P& x: E
set [trade-record-one] of customer item (([who] of self) - 1)
3 x! J" c& |; \' v1 X" W" L[trade-record-all]of customer" f9 K5 @5 R. A3 w
( o# G( [3 b" hset [trade-record-one-len] of self length [trade-record-one] of self
. ]$ n+ b7 U3 O6 j F% O1 [
! K9 N- A& _3 a( x9 bset trade-record-current( list (timer) (random money-upper-limit))
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ask self [do-trust]
7 L' `& r8 t6 n8 N4 `( ~;;先求i对j的信任度
7 c: T4 v& Y4 b. W/ W* s1 r, F2 G7 B+ i0 }" k
if ([trust-ok] of self)# G/ s5 n; N$ o: T6 E0 t/ m1 }- {
;;根据i对j的信任度来决定是否与j进行交易[
. E8 `- w, X& p4 P j% Fask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
+ L( u" l8 e5 W) I1 E6 Z/ ?( i7 J8 R" I( q( x/ Y% a
[- `& p; K) o" h/ ~
" o5 q3 A5 i+ B& E
do-trade* X8 L7 E7 h" L5 f1 ]2 Q
! s+ D1 X" s7 C5 C+ X, v) g7 a: Q' ^update-credibility-ijl
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update-credibility-list: n, ^0 S0 C, V, k$ B' w2 N
6 Z: y0 l( F; Q5 i2 j4 p4 R/ J% g) c p& A5 [7 h- Y$ z
update-global-reputation-list1 x2 p u8 a4 k' H
* E8 _* t4 I$ Spoll-class
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4 ~" j- w! A# q& w( yget-color
3 k4 R5 ~7 i/ k' p
% u6 c" w# [/ |! L]]# t: }5 u( J& @9 E0 i9 [
& Z9 X/ T& \6 C5 Y% M8 r* h+ k& F;;如果所得的信任度满足条件,则进行交易+ J; @8 y$ w. x4 p R) }( w
* S& T0 j# k& G3 D, Q
[8 Z B+ l0 n" ]9 {+ C- H
' x8 y& j( `7 Y3 M/ art random 360
" L) u! t$ K: }0 Q" D
- Q5 o1 b/ ^9 |0 e l& {fd 13 D# S; y6 ~( Z+ f; H
{) A1 L E; b) ^4 [3 h
]5 D0 S' V( U+ x! O+ U' l" i
$ Z' E& u3 u- M& s# m" ?' }
end
' Y) `" B2 D) L" P* }
& v- }) l/ c5 B( _6 W- ?( Q! c( b pto do-trust 0 M; L" e& i# E a, T6 g( `
set trust-ok False
9 ?0 S. ?8 b& o- N4 O& B+ Y$ @6 c4 A* N/ ~8 Q/ g( p% R% t
9 p1 a( @0 D5 s: W+ C
let max-trade-times 0
5 x" W: W: X, l5 Qforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
% V3 j2 k6 a$ X2 Y% ` f) J9 Nlet max-trade-money 0
* ]$ N7 n4 Y4 j& \foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]) S# J& n1 _, t
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))* K& L% L: {( A
. H* v& m4 N, u& B; j
( `: l0 y7 M5 u) ?, Lget-global-proportion$ C1 m5 y+ `& G2 I/ ?
let trust-value
d/ w5 e3 N7 z+ i, p2 Klocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)4 x9 v4 Q* e4 |' }, a, @
if(trust-value > trade-trust-value)
& l3 G" b6 v/ `$ I8 @' _; V% J[set trust-ok true]. o* h9 t9 k, T
end- F: y4 x6 m- w- k) [! u* B6 e+ L
. V2 w P; Z& v5 N. Z# d* o! m; |to get-global-proportion
" k6 Z. L' R: u3 ^, u9 u2 jifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
! _8 U9 A# v' _+ r- [* X[set global-proportion 0]- D1 U- k5 |. p, {- S
[let i 0
' n: s. [' ?6 y( }) zlet sum-money 06 P. c( F) n' T8 p# y
while[ i < people]
. p& P7 H+ |9 P6 t" }[
8 Z3 S$ T+ X( j5 n. p6 jif( length (item i2 J8 ^/ z) R- c) ~
[trade-record-all] of customer) > 3 )5 {) [3 D! n8 N. {1 l
[
$ F1 c( s2 k8 b& q1 F) Hset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
- M: N9 |1 W& z6 P$ I, D]
8 H8 [- O" {. n2 h' R2 k3 n9 R]* e, N$ E+ i' _4 d
let j 0
" j& K( m0 x& D @2 [* j& T7 e5 Glet note 0
2 D+ d7 b+ r" { g: Xwhile[ j < people]" J( ~" o& Z! _& B# n
[( A7 p' Z$ c I
if( length (item i3 P" [7 a1 m" ]7 q: v/ v
[trade-record-all] of customer) > 3 )
9 Q4 O+ S B# F7 K% o% G; x/ J[
0 ^+ n$ F7 H4 B6 \& rifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
$ e& ]- ~; `* D: G" }' D7 P[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
% v) M: P' ]) M# j" r/ Y$ d0 K[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]& h' m* H2 t- G* i! ]
]3 @& E7 `5 v/ e8 ]- p+ u1 ^
]
7 p1 R v- `* w) s5 vset global-proportion note
0 ?2 f+ [, S C V o]
/ u( r# m. F. c+ d3 r: u2 T! C8 Rend9 ~3 ?& u/ M: T \
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to do-trade" O6 t, v s3 x' B+ }6 h0 T
;;这个过程实际上是给双方作出评价的过程* c3 N5 v" g" _8 v( e0 l
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
+ u5 j. K7 j$ p: ]- [& T7 T! s) K0 @set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
: L9 m6 C' g+ z' p- tset trade-record-current lput(timer) trade-record-current+ B1 I4 z* h' b: R+ J/ Q1 U
;;评价时间
9 g2 H5 @( E( ~ask myself [5 V; P M( a( h5 P& o+ i5 B( W' z
update-local-reputation9 n! ^* q8 R5 \4 u# L
set trade-record-current lput([local-reputation] of myself) trade-record-current
9 q# ~3 X" T+ w, z+ g]1 r1 L9 _0 d/ q5 T0 K
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself* d# M' c# L" I) k: J; A
;;将此次交易的记录加入到trade-record-one中
6 o3 i) A$ _ _# x1 Fset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)0 ` q# f& \% |$ u' P4 ~
let note (item 2 trade-record-current )
/ V0 ]" U9 Y1 n* a9 `2 kset trade-record-current- _ {5 t. k* X) q# c: k4 V
(replace-item 2 trade-record-current (item 3 trade-record-current))1 |# H+ V" d4 j7 }) q' o* [
set trade-record-current) y1 r6 s9 c5 _4 f+ x( W6 p
(replace-item 3 trade-record-current note)) {4 H* {/ Q' F9 m' W
% V. C- X: X: o- k
! l9 n( D$ ]9 ?6 fask customer [
: v# m# h1 a- A* l# Fupdate-local-reputation
# ~+ s# O' k2 m* o, iset trade-record-current
. @' J" t% i4 P; h9 ~. L(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) + }8 A6 q# z4 p+ Y1 _2 W3 L' {
]3 _/ r8 F. i) S: L1 {7 O
1 z. W) l! d, Y4 c. K5 I0 M5 ?, |
: E2 V+ A) P1 g# I7 }set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer* ^0 ], ]( `! ?4 c) [
0 q7 @1 f9 S! w- tset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))5 w5 y* e2 U) N+ w0 b5 a2 d# m
;;将此次交易的记录加入到customer的trade-record-all中 K* g& K4 v. U9 z" ]5 k: a0 ?; {
end$ o0 o% K" X4 [2 }
% V( s4 W& y0 s, h2 D _
to update-local-reputation" F' {. s8 y$ ^) X. E _* \
set [trade-record-one-len] of myself length [trade-record-one] of myself5 F1 Q) L% _) ^) f3 l$ c+ C
; H0 u) A. [' d, P: l! g
: g. d: ^! H7 {: p; t$ |;;if [trade-record-one-len] of myself > 3
/ s0 v- V- E8 Uupdate-neighbor-total
, `: V# x3 ]1 K1 T' |+ K# e4 A;;更新邻居节点的数目,在此进行
7 I4 l4 R8 j8 Nlet i 3* J% \4 B: f3 X5 B
let sum-time 0
% C) Y2 k( g% n. Z8 Fwhile[i < [trade-record-one-len] of myself]
9 W! K0 d- u" `[. k) H9 Z- D5 E* X9 W
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )" q. t* v) t+ j4 ]0 W2 I$ B* z
set i
% H7 d8 s: ^, G( i + 1)" k8 x& n+ ]/ |) u3 O* u
]; a- u- d, P: k6 p/ @& F8 ?1 `
let j 3
2 [, ?+ Z: Q9 } e3 glet sum-money 0! [$ z6 E! ^7 O3 Y& s" E4 D; j
while[j < [trade-record-one-len] of myself]
) m4 o$ |$ h V' h[; e0 b j4 T9 i! o" i* F, L$ f! i9 C
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)
+ w9 v% O# s7 m4 z' ~: i0 h+ tset j; N6 x8 P& A' S
( j + 1); m7 ?% ^3 p. M0 s3 B, m" r( _
]; R' R; Q' k0 F
let k 3( B0 v9 S O* H+ ^( s0 U
let power 0# d0 \: c4 S& Z5 m. C7 q9 T' t
let local 0
+ }6 k a; M2 ]1 M; l8 swhile [k <[trade-record-one-len] of myself]
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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) # ~, v; f4 Y2 n9 G/ i9 X
set k (k + 1)% b, x2 n7 h% |% T6 f
]
; o" n$ y! b! s: \ p3 bset [local-reputation] of myself (local)
" M/ Q9 [' i1 Q; e$ Vend
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0 t" \2 w& p$ r# @$ n6 ]% I( e7 e* Rto update-neighbor-total
6 h0 t3 b" f: W: R" q* J& e
- ]" H h* v, D Z8 Q H1 P; vif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]4 J4 S% U1 V; ?* @1 U
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end
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- I9 d3 K6 e% j5 A$ _ e; Sto update-credibility-ijl 0 W5 E; A0 g9 P- c0 |4 `1 ?4 j: u
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;;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。; O9 y6 F& u6 Y; y
let l 0
7 k' b0 _: D; C1 h" F [0 I& nwhile[ l < people ]
5 a) H0 r0 P) q: N8 g$ e1 ~( E;;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
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let trade-record-one-j-l-len length item l ([trade-record-all] of customer)! T) C) e1 U0 Z/ p z& s/ K$ o
if (trade-record-one-j-l-len > 3)
0 ]4 V3 s% r2 t' n, H- n. }- X- y[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$ a2 @, [5 a5 ^: T; J& i
let i 3
1 q4 {# ~5 }4 w' o9 ]8 vlet sum-time 0
" \ Y( h, ~1 J' f2 q* V1 Iwhile[i < trade-record-one-len]. u ]0 C* b9 D
[
" W3 D) P' ?* u9 v4 Oset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )$ R) o1 w9 A- U1 Y# B
set i0 v. c4 H% @- N
( i + 1)
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6 ^4 {1 j7 D. A4 z) R' olet credibility-i-j-l 0
: c' r, }0 X( q" _;;i评价(j对jl的评价)( O9 N; K3 Y% ~3 B4 ]( N
let j 3
, N* C( {% z" z+ ilet k 42 C* n; ~) J( f
while[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5 c# v( S. H) X. C) B, [
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)
% p/ C6 h# |1 }8 U. b$ ]# {set j2 l/ Y3 b- {$ g" @( d& ]# g. x1 x
( j + 1)( h' D2 l7 J; j
]& ^3 f0 \9 m; T+ _9 H) ^& M- j
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 ))7 s3 s2 I2 o0 v/ V
+ ^$ l% F* V6 A9 T* m9 p* l. p8 V* b K; C" B
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
. G6 ?: i, D; N+ Y" X;;及时更新i对l的评价质量的评价
+ ]' E$ s/ @- `' qset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
5 t8 B8 F" t5 P8 [* `( l( {set l (l + 1)/ ^2 M0 g) m/ C( E: T5 k+ K
]
3 x9 k. N& q/ A+ U Hend& B1 W* f2 e" t6 L; L: A& K( ]& Z0 X
* J6 Q& N# J; h
to update-credibility-list
8 ?! g/ ]5 F8 v8 ~2 r s" ^ Zlet i 0
- [0 X+ {" k, k) F" rwhile[i < people]
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let j 0) j i/ `) w3 e; f
let note 0 Y- u% |2 z! W6 n# L. r5 Y% B
let k 0. h' f3 l# c0 ~
;;计作出过评价的邻居节点的数目0 U9 z. @8 t( `; t6 R: {
while[j < people]8 H# C1 O& [. j3 A
[
, t; V2 y4 W' _9 k9 o9 wif (item j( [credibility] of turtle (i + 1)) != -1)3 U6 Q8 R6 U9 I5 Y( }
;;判断是否给本turtle的评价质量做出过评价的节点$ w2 q! s* K9 k; L
[set note (note + item j ([credibility]of turtle (i + 1)))
/ z3 n3 n% Y. H4 k) ?8 D& r+ r;;*(exp (-(people - 2)))/(people - 2))]* j f8 K+ N/ e7 B3 R( I
set k (k + 1)
0 f& _4 B0 V/ Y]
) U/ E) S7 z5 Z5 w; {# F& m" ^set j (j + 1)3 ~, p/ n! ]- C1 |4 \& A- i* V
]* P3 u& ^( }5 y" b
set note (note *(exp (- (1 / k)))/ k)5 n* O y ?' c$ `
set credibility-list (replace-item i credibility-list note)& g' x l1 _0 x$ a0 Q8 `& g
set i (i + 1)
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end
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% ~! \3 a2 h4 C1 \/ q2 ]+ hto update-global-reputation-list/ m% Z7 V7 w3 A; H' m
let j 0
: F+ u6 b1 o2 M# m) g/ ywhile[j < people]
4 r3 F) P" o" `9 X. s/ G[1 \' @5 h9 { R3 K$ j
let new 0: w$ R) p1 ] ?# H
;;暂存新的一个全局声誉* c1 E' F4 d( A" B
let i 0
/ N6 Z& V6 e" m/ C7 d2 V/ S6 hlet sum-money 0
/ `$ u* [. L% ]: q6 c3 a. jlet credibility-money 0# m3 y4 e. x0 Z
while [i < people]
. q8 f+ Y, F6 E, u, [' ]$ `[
6 O2 k+ O8 B+ zset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))# ^' }# M. m, Z {
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
1 F; h# w, y: V5 u: q6 m3 [set i (i + 1)% o7 c) k0 @( S l
]
8 o+ F; k% X* l7 `6 ylet k 0" } P: j# W- M+ Z- d I4 H
let new1 00 j+ N, N [" s$ E! k
while [k < people]
* r, r3 F: J' }0 e! a: j[
6 U& ?/ }2 m. y- ^' H% L, ]* Aset 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)4 F; J& Y& ^ o m9 z+ _9 ?
set k (k + 1)5 H0 o3 _. T" @
]
% h( H; [/ ?- f9 p+ t7 J- Oset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) - K& f2 |. X" q/ z4 u
set global-reputation-list (replace-item j global-reputation-list new)" L3 O' C: J g6 J0 P! i8 T4 ? @
set j (j + 1)
2 T. I: c1 m: a]6 d* o+ Y/ x) P) d" v
end5 W: a$ A$ ~( O3 l- \+ c0 [, e
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, Y5 F ^3 ]8 K4 a$ S3 W1 bto get-color
& a2 z6 {0 F, Y. h# L2 |# E5 J& m3 h: f4 f7 Y: \& Q4 `. j
set color blue
0 @$ e2 D9 w$ [1 y, y$ V4 nend+ S3 z4 Y! Q- c3 c6 G4 W& ~
# Q' z4 ~6 P, k
to poll-class
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4 Y, m& D* g* ]. A; uto setup-plot1
2 t- @1 j5 a: q8 @& \* K I" K8 j. k8 P
+ o" @4 D; p& b" F4 [/ p% ?set-current-plot "Trends-of-Local-reputation"
1 d& Q0 b% h. r6 u
* J$ l4 R1 a1 q c: tset-plot-x-range 0 xmax
$ m: J& Q/ ^+ z% ~1 f+ s+ B3 T5 _5 J) }( R
set-plot-y-range 0.0 ymax
# D8 H. O$ a/ l% V/ l" C4 R$ i* wend7 q% Q$ P. I @9 D$ R. ^) N% V
( q! }* l. R2 k) P7 u* zto setup-plot2, E( I! [! p* A2 x h
! C Y3 h) C0 C: [
set-current-plot "Trends-of-global-reputation"
1 e# b" @' Y. b% U4 ]. K- M+ Z2 _: o9 |
set-plot-x-range 0 xmax
9 }$ y/ n9 y1 K& z% z r8 z/ F6 r3 {3 W$ x+ S* g8 J
set-plot-y-range 0.0 ymax
! A! ~) x; h9 |0 W& T" }end& R! L# {# N$ t) N, R
3 s6 y# Y8 e4 _, v# _, tto setup-plot3# Y! b7 D* m$ ]- w! E9 V
" [" u7 |7 B: P f) C( Xset-current-plot "Trends-of-credibility"
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set-plot-x-range 0 xmax- H! o% `( \) A" s; F8 R1 L# \
4 n8 K- m2 V- M) n7 {
set-plot-y-range 0.0 ymax1 Z0 H* o( U4 H9 q9 f
end
1 H2 l6 ]( K) [) R/ S
+ G5 i) ?/ {9 t7 T1 m4 Xto do-plots, Q+ t- A2 U0 ~. L3 a6 m
set-current-plot "Trends-of-Local-reputation": x- Y: @" P' V! F
set-current-plot-pen "Honest service"4 \: i# k+ o1 M8 [
end
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3 @1 Q& I0 S4 L+ r* z3 Q[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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