|
|

楼主 |
发表于 2008-3-18 13:10:54
|
显示全部楼层
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: i2 P1 R# \( p: `+ i, l5 _
globals[
4 a5 h7 h; T8 Q& [, Txmax$ M; ]/ h# p: h
ymax# Y$ w. W9 b! i
global-reputation-list4 ]! }" z1 X* m. N4 f
/ l: p/ V+ d! |- L7 e0 z9 w* ?
;;每一个turtle的全局声誉都存在此LIST中( t; O# ]2 l! u9 t
credibility-list) u+ v# T9 m: T6 f$ k) l% }% ~$ D
;;每一个turtle的评价可信度
. g* h! i: f4 d5 b& y. G' r4 `honest-service4 g* x) X2 U6 g3 |4 m% n
unhonest-service/ n* m$ Z6 R7 M# B0 Q7 s
oscillation
1 K3 x7 A' l9 ~- M3 S: v+ U( Q8 Xrand-dynamic7 E6 f; p+ q" h8 T; D) c
]* J5 r8 C8 |9 n( r- u- @0 r! V7 A
" d8 B- S" n. h. v# h5 k8 p ?
turtles-own[: @, A, O0 b1 B; q9 g
trade-record-all
8 z8 e- T' u @) Q;;a list of lists,由trade-record-one组成" `4 e8 n2 Q5 S3 [8 z7 N. ~
trade-record-one' W% k6 q, R+ C. j2 F( @
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录! J2 Q8 |! z+ {. y
" c2 I0 V9 q2 |% [; ?7 K, D
;;[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]]1 F8 S) n' p- 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]* p# @# M2 U) @
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
9 T8 r! P, k) Eneighbor-total
4 I- U3 s+ K: @5 s- q( W' {$ p/ H;;记录该turtle的邻居节点的数目+ }) r7 z- ?% b/ B
trade-time7 Q+ y* q* ^8 R5 _: R# T1 Z# T
;;当前发生交易的turtle的交易时间0 b8 w$ t1 p( w8 K3 q, B
appraise-give: B' h* \( H. D c1 r
;;当前发生交易时给出的评价
$ Q& l7 \5 v5 Z/ _0 t! q# ~appraise-receive
& c/ E8 j; g8 s6 @- R; S; n7 c. ?;;当前发生交易时收到的评价& Y) ~9 f* U( f8 \0 V
appraise-time
) b+ e9 ?3 K" r4 I; Z0 y6 x" X;;当前发生交易时的评价时间
0 p7 d# n# \4 G# d3 Ilocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
3 r: H J% A0 b1 z# Strade-times-total
0 H: S2 X. n) W;;与当前turtle的交易总次数
- Z3 S4 K: u4 n |- k4 ltrade-money-total, T: Y: ^* O7 u+ n; O, A
;;与当前turtle的交易总金额
# @0 |/ s- K: x8 `9 U. w4 }* K2 Ulocal-reputation
/ B$ O$ X; F' Y J6 x! e4 e9 O+ |global-reputation( L( V g" }# \ }: `
credibility, t3 |0 i. N# C- C5 B) I, O' F9 ?
;;评价可信度,每次交易后都需要更新
+ I8 W7 f4 N a0 }credibility-all
* |+ Z" z- y, B;;a list of lists,由credibility-one组成。[[1对j的评价质量的评价][2对j的评价质量的评价]……[i对j的评价质量的评价]……],其中一共有people项,根据' \! [2 z- u7 S7 D$ ?$ m
1 R( Q' R: ^, A# B$ _0 w
;;turtle的编号对号入座,对于其自身的编号,在计算用到的时候再进行剔减,初始值均为0.5
; H; E0 u r0 ^1 A* t5 f# t7 ycredibility-one$ u, l j% ~+ ?! ]/ K
;;a list [i对j给1的评价的质量评价,i对j给2的评价的质量评价……],其中一共有people项
4 H! a$ b9 D) P3 a' C% rglobal-proportion
' ^& U) o' [/ K2 B Y6 {% `4 v. ycustomer
5 Y1 J. O; x2 d) Acustomer-no3 X* Z# h" @+ h
trust-ok
+ [# C( E1 P: a: l$ `' W8 `trade-record-one-len;;trade-record-one的长度
* y& G) C' y- W0 E% _7 P]
+ t9 Z6 B" x' c7 V/ c# u1 [
0 W. Y- j& K( \! i;;setup procedure' t8 ~4 r- Y9 G1 Q" n' L
- o8 Y% U" U/ } Q3 c
to setup
% J" H5 s9 L+ }5 A+ B8 [
% ]+ T( |. q8 L& O5 X5 Eca
" N2 F$ U) C+ {$ _5 |6 Y4 Z2 \) T6 H7 |
initialize-settings
8 v8 @% M- m1 _' h
/ `, O; |& l% L% \6 H% m. J# U% `+ \. Jcrt people [setup-turtles]$ }* ?* v3 ]4 E# h, q: p' q
( P+ m8 w& j, M/ c1 S d$ J4 t
reset-timer& r" ~ T2 i5 _8 C7 ]. [( L0 h
! z! o- z& m, g+ C9 k: E4 a& S
poll-class0 Z( ]$ y7 s A+ y
, v1 q4 ?8 @7 {+ r
setup-plots/ `. M7 U# z0 h! t; ^0 M
0 P3 r; j# E4 n9 i
do-plots
5 K( i. k y% Xend
4 q4 G) O. i1 A+ P ?" Q* N# d$ G: p, P9 q* _, F
to initialize-settings! Z; B2 a) e- w8 m
- P9 Y* D9 @3 Mset global-reputation-list []
0 m$ g8 X O# k! u. k5 U" p" d' P8 j
set credibility-list n-values people [0.5]
1 K; P! q% Y. @4 W# L2 s0 Z( _. [0 @* l9 X* `* m$ X! ^( M
set honest-service 0
- \/ O# D, s: x) B( f1 a( M1 b- W& E' u7 Q+ h1 m) l. i$ U X+ C; G
set unhonest-service 0* y( i" y8 ~! e3 v
+ F/ w, `9 H' H- |& \set oscillation 07 p% `0 X+ ~2 b* k
& I/ R+ Y# [: r
set rand-dynamic 0
" w2 \ F9 F! [end
. ]- |0 K+ b2 V- S' z D$ g' g) X- F; C1 ?
to setup-turtles
0 T' y9 @; @& Hset shape "person", f7 q5 q8 z( j3 b3 q# _0 I% T
setxy random-xcor random-ycor$ c5 d5 F- g) S7 e$ Z! J, t! W
set trade-record-one []
8 W- R( @! d! Q* m, f. c1 F# q$ ], o! ^; f/ v5 {
set trade-record-all n-values people [(list (? + 1) 0 0)] & j+ A& b6 O6 O. `4 V. b8 q
4 Z! j( s( H9 c) F+ t! `9 Z
set trade-record-current []
8 r/ V! x" W4 wset credibility-receive []6 E* o# w9 ^1 j) Y1 m- l
set local-reputation 0.5; i5 c& o+ K% F B; x
set neighbor-total 0
5 r2 m R0 v+ ?& n. |4 @set trade-times-total 0" p5 S% p4 `' O
set trade-money-total 0. g. O8 v( @( k: q D7 ?7 {
set customer nobody5 E3 j# I m4 f1 T! a
set credibility-all n-values people [creat-credibility]
. @: z' |2 T# x' x- j0 f" l$ tset credibility n-values people [-1]# P* `' V5 l' P$ ]9 K
get-color
9 _: \! u& `/ K) T/ q7 r7 }* y
# S8 a: H+ n3 \end7 ~9 \, X) c _
6 E" ^* M/ g' o: @to-report creat-credibility
& Z) a I$ i+ Preport n-values people [0.5]+ S% }1 X9 h. @/ o9 A8 n
end
% @4 p) ?" K) k9 D( n9 s
+ Y8 `4 G; q9 q9 _) B" m. t0 C- ~& k: b& tto setup-plots* H1 g/ _ A# _6 F6 A2 g
$ z% l$ }) ?# x! n- z0 j
set xmax 30
) X% s. \9 e8 D- `( Y, P/ e2 V; G0 |- n6 c: L+ N$ i
set ymax 1.0
' }. ?+ m$ a$ x# ] Y
3 e& d S/ \$ ?! ?& ^# E' Aclear-all-plots. i1 U5 m+ p$ }% Y$ W3 T
& z8 Z; E' T" q3 l' J: H* f. [
setup-plot10 J! W3 ]& o/ b3 g$ |
, e9 E! E- E D" T9 h; p
setup-plot2
6 M4 I5 `' Y4 K F6 {' L
2 q& E! K6 W6 nsetup-plot3
' I% m2 p$ l" K$ f+ U, }( ]end
; c6 G1 i0 C* r4 s1 J
9 e$ A5 H6 R- Y& {5 {1 W5 g;;run time procedures
; ^* P/ e2 {9 {& Q7 b: t; x$ J6 W+ N- u: |
to go7 g1 y8 F3 \( Y9 B! o: k
# @* y8 @9 d8 ]( v' [ask turtles [do-business]! F4 |+ j( o, s6 Y# g% C0 y- G
end
" z$ p9 ^3 z: i( K0 p
! o" H" ~7 H- [2 Y: s8 Yto do-business 5 l/ B" ^3 y+ q1 d+ R
& O2 {$ p1 _, g* R% o s4 S! D$ `8 K+ a* \
rt random 360
+ A7 K/ v4 K4 c
& u3 U/ T5 f! Yfd 15 ?4 u7 q! j1 m4 K& r6 ?0 R3 U* k8 D
7 v6 O6 g s& H2 H4 D3 C; h Q
ifelse(other turtles-here != nobody)[
0 Z% u: r- }" v @
/ z9 \3 ^% J K8 A" t wset customer one-of other turtles-here! \$ G/ ?7 u- D+ R5 I
" Z- S% o, S" u: }2 V;; set [customer] of customer myself
+ ]- {! a# ]2 d" h$ Y, h! M! n
; X: I: x0 L3 q& \set [trade-record-one] of self item (([who] of customer) - 1)
& c; A0 Z6 z; a) v ^' E0 r[trade-record-all]of self
1 R6 J {0 Q9 D1 I/ F% z;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self+ ` y/ r. T" @! ?4 {% P! m
( M# z4 v" q! |9 y. ]
set [trade-record-one] of customer item (([who] of self) - 1)1 P- i4 x6 n* Y w
[trade-record-all]of customer2 r/ @: Q+ C& i% K' z; A
. m9 V# K% E3 R4 d
set [trade-record-one-len] of self length [trade-record-one] of self
S# I1 s1 a1 P" M8 p/ w$ _ L4 W# S) X4 g% }" Q7 f! a
set trade-record-current( list (timer) (random money-upper-limit))
! q3 x" E" l8 z0 U/ w/ D9 G: w& S3 `/ i, Y" _* S( c& ?
ask self [do-trust]: }, G P- ^/ q, n" D
;;先求i对j的信任度& @+ P6 N1 I! J0 ]! G
# K0 l! [% j. W9 ?7 m% \& R: [; K
if ([trust-ok] of self)6 T4 B2 L' D' Y7 N
;;根据i对j的信任度来决定是否与j进行交易[
5 }1 B9 x' [, E3 _0 ^2 e/ dask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself# ~" V% |2 t' W, S, W% {
- {7 F& u7 f; _% T5 P
[' j, d. x$ J- U* u7 N; p
- L4 a) \4 P, I* l8 d
do-trade! @6 q+ ^" ]# K6 S! n' ~: Q
( ~6 U: f) a4 ?1 J3 a" Lupdate-credibility-ijl
. f9 Y8 m! j8 W& o/ I Z2 v* W& T; W$ D& a) d6 \3 W
update-credibility-list# U/ X2 b* @- u/ ^
2 Q, g/ E J4 ^/ j b; u. N! q! M" N1 d% ` P( k
update-global-reputation-list$ w7 Z: `5 z, c8 G6 y+ k! l7 i
+ {: Q* M1 ^5 M& D Mpoll-class
' R# j: o& t, F5 m0 F V4 w( x3 Y6 c4 b& a" R
get-color; {9 G+ w7 s3 L& ~$ x
% V) i% P& [! j/ L8 Z7 O+ _]]5 v( e1 T6 t+ W
: z. j) a3 \$ L. Q" Q
;;如果所得的信任度满足条件,则进行交易7 a+ u/ y# z: G1 s. W; w2 j
& K4 y5 [: y% l% v- v2 E! }9 c
[
( N3 C `% T. M4 r5 W) k1 o- n) M
9 _# {& C4 o: x" }rt random 360
- M6 v* t# y# u: x
0 M# z5 A4 X3 C3 X3 d* \5 z' N% efd 1
0 d) Y3 ]( \9 b1 \+ T7 t& v; V/ m( ~9 I; s% \$ ?
]
h( z- h( O+ ] `9 J& ^# l
5 [% n$ H9 A6 Y- x, Tend
2 K$ o% w4 V' ~+ i4 ?! B4 O J0 Y$ O8 A5 M/ R
to do-trust
" n, t9 @8 m1 O" Y+ s) ~set trust-ok False
7 m4 ?. W; f- ]; }6 i+ I8 v$ H4 l- w: l: Z ?. K( P# q9 O( G% {. N
- e4 D! R* s% A: J3 @( j6 Z
let max-trade-times 0
/ b6 h2 ^* X+ l: B- Jforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
4 ~: M0 y7 X z- glet max-trade-money 0
9 g/ ?0 P0 W1 S/ Y- Sforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
9 d9 f. a! N6 S. ^! mlet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
7 D3 q6 J0 }& E$ w0 k) j' I# G
, q1 t3 D6 M3 e% k6 i) h- u3 @, S7 }
* x! n2 _( B* tget-global-proportion
& K6 @' @2 p6 \5 J t/ b: b" S8 [let trust-value" s. A! G r; o
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)
) w- k* J0 S y) P9 zif(trust-value > trade-trust-value)
, ^2 T: h9 J2 v+ K4 v[set trust-ok true]
3 ]) S3 e' l* m; d9 B4 x4 K) B: kend. S$ [$ r! Q- I* U
o. o; a$ ~: u& x" cto get-global-proportion
* z% u8 _: _$ ~' j# `( m* tifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)9 Q4 @4 {' A# B% C
[set global-proportion 0]2 j; \# i: T/ [, j2 U
[let i 0
8 N# l% V! W2 S2 W2 z+ V' b Tlet sum-money 08 x1 l5 @- ~ p4 P8 ?
while[ i < people]& F4 F% H t' \4 V$ t/ f$ {5 j
[
7 I2 b/ T1 `+ c4 s& V- lif( length (item i
0 J, L: u5 h1 {& P0 B. ?3 j[trade-record-all] of customer) > 3 )
2 h" l3 C4 O& W d[
w) N: o: |! N+ l- r, vset sum-money (sum-money + item 2(item i [trade-record-all] of myself))* j; a4 E* A2 P8 Q5 O) T! h
]
6 [: I% Z9 w6 `]+ A* s B* B9 b; T
let j 04 k, e8 C( Q( u1 W2 @4 Z
let note 0
6 _" {8 m Z: D( x" bwhile[ j < people]; Y& J7 |: p8 Y3 i$ H
[
* q$ W; F6 K3 l) Wif( length (item i
" v, d. Z) i# G7 l! j+ m[trade-record-all] of customer) > 3 )
3 l3 C" R9 D! g' ~- d[
/ @( `- B5 a1 Y- T# r& sifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
: P. U0 q+ i% Y1 Z) U J0 o[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
3 e9 m* |, ?& x% B8 i[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]) f3 V) W$ ^/ z, v
]
+ J2 ~% b$ L) K9 k]
# |9 E( p8 a2 N5 zset global-proportion note" n7 n9 K. \$ Y. n; h7 H% l7 \5 d
]
% o' G! t8 O8 k' gend
4 B" l9 f: D" w* b+ p
3 J0 e7 a% G: G+ P. J4 | x- nto do-trade k2 r4 m+ W Z! G
;;这个过程实际上是给双方作出评价的过程
( j$ L( ?9 J; Oset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
8 c- W, u' F# m/ o- ?0 mset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
& U. ~% }6 D$ Lset trade-record-current lput(timer) trade-record-current
$ }& S2 s* G ]- b5 x- O;;评价时间
* h1 D* a+ d5 T3 m* J7 Sask myself [4 E/ u7 [" {6 |# b8 ?- B
update-local-reputation
8 ?6 D* C8 _$ C$ B3 L+ Zset trade-record-current lput([local-reputation] of myself) trade-record-current
% c1 x) l% X% J1 n) z/ c9 ^]0 y+ P" K6 v& I" t, c
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
, b4 m2 }% Z, Z6 P7 g9 i;;将此次交易的记录加入到trade-record-one中
; f& X. t6 V: ^* e$ U, mset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
m1 b0 G4 o Q2 Q+ W; G9 olet note (item 2 trade-record-current )
) T; i1 {; n4 ~( R* k* i9 \2 Iset trade-record-current
9 W ^$ ^, L7 t( l6 ~(replace-item 2 trade-record-current (item 3 trade-record-current))9 x" `4 e+ P4 k
set trade-record-current
* C( p& w# b! l p; |2 D' d# [& K(replace-item 3 trade-record-current note)) a: ?$ ?$ H3 S* w" [5 c
) g8 X: ~1 b1 S, i- m& w
9 d( Y* n" N0 yask customer [0 J, q. f* }3 O" W& w3 E4 Q
update-local-reputation
7 q3 R6 u, \" l6 qset trade-record-current& T: P; `1 ^% z$ j! O. _) j% y
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) g- l; J& O6 X. S$ F' m
]
& P. I/ P; w8 e% k0 Z4 O$ A+ X; _& A, o$ u4 L0 [
" Q. \3 X& Z* O$ J
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
6 A7 w( Z$ w/ X x* U/ h$ A
( x3 x* J$ a+ B2 d/ Wset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
. B8 V5 N7 l& ]( t# s# n8 ]7 x6 P/ U;;将此次交易的记录加入到customer的trade-record-all中: @/ Q7 _- Z7 d% z1 x- u
end) W. b: N3 y' R# y: q: e0 V
$ ^' c4 n# T5 c# m; A
to update-local-reputation
! `1 j5 c% R* Gset [trade-record-one-len] of myself length [trade-record-one] of myself
; [/ K Q3 I; m% h8 C u1 `; _6 w) L& B0 e* i$ u
4 @6 F! ^, Y7 h2 J8 m' y;;if [trade-record-one-len] of myself > 3 " P: N5 r+ H6 i2 P6 v$ d0 ~
update-neighbor-total
2 O# o2 \: E2 W% v;;更新邻居节点的数目,在此进行
. @- Y" U( G! ^* @" Y; V7 U& Slet i 33 _. I+ l8 K/ g3 h* B/ d, C
let sum-time 0
" Z1 c; K/ j+ @9 k0 V* lwhile[i < [trade-record-one-len] of myself]. T' h, `. \) D4 l! p+ o
[4 _' ?( F8 a$ U; d
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) ) }8 h- y1 B! n. x4 J
set i
$ b7 y/ W* x5 ^. ~6 a @( i + 1)4 j. E& Z% m3 T
]
! {8 w! G$ Z9 ~5 J8 o" O/ r- Wlet j 3
1 x* F4 P$ h# K6 U$ _' ^let sum-money 0
/ F+ K3 M E4 R2 V* k/ O4 F uwhile[j < [trade-record-one-len] of myself]
! c6 g+ i5 q4 p: i- w9 S/ {[
! Y% T8 r* x1 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)
$ V0 i: U- R1 M1 Y0 ]* G3 ~5 M9 Gset j1 }2 y Y% t6 s: U, m
( j + 1)4 T" M* P9 c' H% U1 \: b
]
: f8 y& Z; t& T( rlet k 32 h! O0 g+ J* H' P+ `9 H! B1 R
let power 0% g( m9 g. k4 }, B& ?8 \6 }
let local 0
7 V. k+ W# ~" k9 r# l# ^. Zwhile [k <[trade-record-one-len] of myself]
( z8 F; F" w. U+ T[) Q9 C8 u3 Y* t7 b% U: R" z- l4 Y
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) : o: U8 Q) V5 M4 z m
set k (k + 1)
* {+ j5 O* ^8 I; K' E V]; }+ f( F3 H3 Q7 u* j% \
set [local-reputation] of myself (local)% N; e' v% l+ `
end& A) [4 U/ K( l* `. w' f6 t
+ a- Z$ L6 a1 s4 t d; r6 \: ^
to update-neighbor-total
+ w9 Q: v, J( Q" r: }7 C( F6 \* C- S: I2 H# I$ s6 z
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
M) R! _7 o# Y$ u9 ?- B8 E) t, R
% G% j" w1 n/ B/ R- w" ] T7 k- J- {! w( w
end
0 \: Y% L; I* i- T8 G
- a1 u! |4 i$ _5 xto update-credibility-ijl
9 W' q0 b9 p V _: x0 W5 c! Z5 U7 a, B6 T& 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。
6 K$ A- b) Q' O+ ]( flet l 0' r0 i0 e5 ]1 v! t1 ^
while[ l < people ]
* T j4 H; v3 h6 z;;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0 D+ M. X. \6 d/ \4 e! E- F3 w
[
3 B9 v, A* w" h( u4 `/ i9 Ulet trade-record-one-j-l-len length item l ([trade-record-all] of customer)
# s x& M# O5 a2 r* K6 T7 J0 Eif (trade-record-one-j-l-len > 3)
) H1 Z1 C* n- W8 ~. C. S& P2 M* P[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: s; I9 g2 r. X
let i 3
1 F4 u( e8 P: y, flet sum-time 0$ Y' l& z2 G2 D1 m& C) _3 s' F& S2 v
while[i < trade-record-one-len]
6 m( L& @+ _% H: N! D[5 Q; V7 @% t" ~& D' V6 D/ K+ b
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
$ e! s/ U3 f! Y2 ^3 N! oset i
# {* I- H1 C3 ?5 t; T( i + 1)
, d: c/ c! d$ O" O* m3 T: X2 @0 A]
( J3 A* D- w0 R" K; o. f/ H) I' Wlet credibility-i-j-l 0
' `: r% {# K2 |7 I, B;;i评价(j对jl的评价)0 I! T3 W q* l: U2 B. j: _7 G0 b
let j 3& y' g4 \( b& S' I, v8 R
let k 4% E% ~$ B2 a! m* K
while[j < trade-record-one-len]
" e+ g7 X7 l9 t& F/ e# t. ^[
0 ~ E4 T3 p) {6 d7 X) Q+ pwhile [((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! }7 `, I! v% x5 a b* r. m2 c7 p& ?
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)
- O! j1 M7 Y# Xset j5 m9 ^, V% v4 j; B( X; m
( j + 1)
9 L" a) }1 `3 M]
c4 z; ~3 `- E4 F' Eset [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 ))
* {0 n+ l3 k- i8 N; r- {6 v8 e: G
, k9 Q9 f( n$ k4 u3 |6 t1 S
% _# {3 j0 ?3 T% p9 ?let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
6 p( d( z% O Y9 f3 e;;及时更新i对l的评价质量的评价
( s7 e" U2 o8 kset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]& W8 I( v% o0 m9 L. K* k6 G# R7 E
set l (l + 1)
% c' ~" ]- W, A; o- A0 q. K]
9 U- M0 p8 ~/ bend& t+ s, t+ ^: E
, `5 @( x$ d' ?) G0 h
to update-credibility-list9 J$ Y' i- f) m/ l$ `5 [
let i 0% {0 g2 C8 A, o1 \6 E9 w
while[i < people]
- D9 C' [9 k$ {- O[
8 d e* o! H# h/ |+ V5 B8 Rlet j 0
& ` F, [2 k" b0 Mlet note 03 a8 O: y ~+ o8 U: Q4 ?, Y3 c
let k 0
$ [3 k6 A0 W: d% D) v# t;;计作出过评价的邻居节点的数目9 I1 S+ i" h4 D& m% d5 M
while[j < people]9 _& a w: C1 D. f) F* A, v
[; B1 @1 m) G/ D/ {) y1 g
if (item j( [credibility] of turtle (i + 1)) != -1); n3 i3 H* t5 ^# Q% I7 J( a
;;判断是否给本turtle的评价质量做出过评价的节点
3 |) t, n. ~$ U) y- b[set note (note + item j ([credibility]of turtle (i + 1)))
3 |1 |) v/ l7 _! K; R" x! c! k+ v;;*(exp (-(people - 2)))/(people - 2))]6 R9 I" @ N6 p* x9 j7 N! z- u
set k (k + 1)( G q6 g: w8 J, H
]
2 p2 U/ W9 F5 a7 kset j (j + 1)% Y: y/ m* \, l2 t# S
]/ ^ I" L" W2 O }' ?7 L
set note (note *(exp (- (1 / k)))/ k)* Z, o% i$ H; p5 O1 V( ?+ T
set credibility-list (replace-item i credibility-list note)
, w: |4 [7 N' b- j4 f5 Q& oset i (i + 1)1 y. j; H' E3 K+ B* l2 m) m1 |
]
9 n! R9 ]# `0 K6 aend6 V' f4 R9 v' \& i$ O2 o! }" R3 L
; j$ S! m f2 ~; G
to update-global-reputation-list' K% j+ _- h1 y0 H( r4 w# @
let j 0
: L, o$ u6 t6 @% I+ J5 \while[j < people]
& F7 u9 B, ~& t[7 x: p5 f, {/ \0 f1 ^' f2 l9 R
let new 0
: I( u# z, a. m3 Q) b# m$ };;暂存新的一个全局声誉
: z7 s. ~$ r- V6 {! }) B& |( {let i 0
- j( M! I1 i: ]% C) G Plet sum-money 0
, T+ B" g! K. `1 s3 `6 Flet credibility-money 0" t% e) x4 \* f% |/ ^4 Z# _) c y
while [i < people]
: P4 q! c+ w# ~3 s* O& u0 J+ v[
- t0 G4 }/ e1 @, w% x. Q+ e! l r# Uset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
; W! }# b3 z L6 e6 X" Z3 p- Hset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))9 V8 m+ n; }# ~$ B8 o& d
set i (i + 1), C9 P; J; |5 t
]2 _7 p/ i$ g4 \$ Z7 v* e
let k 0- @5 F0 ]4 s& F& I3 w4 V
let new1 0
8 T' L8 z4 _( Y; }) a6 Rwhile [k < people]4 \1 N! ?. k2 d: X$ @: J8 N
[
1 k- Z3 f, H1 U, b* C" }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)
" E. `+ L, }2 Q1 xset k (k + 1)
) U8 j/ M* K" I& I8 g% l]
/ R: z9 J1 e! cset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) / u( h0 }( s ~# t: y; u* a
set global-reputation-list (replace-item j global-reputation-list new)
2 L- ^6 q6 v) Wset j (j + 1)
" E2 i: u) E$ a. \& w6 u]
2 ^9 S$ I5 {5 D; send
- D: E+ O; g* H, R, a: i3 A( r5 V5 c5 e0 `1 m P6 T1 y
. b4 J# U- V! {/ [
) C: w+ j+ }5 R' Z
to get-color
! w, o. Z4 C* z0 \- ~2 l
' N7 q$ i9 z+ H2 iset color blue
! \; C2 P! S. ~5 nend9 B% {: {- Z, a0 C$ E; i
) F. ?: ?, S" V3 q
to poll-class3 B2 c" I" d3 Y3 |
end
% H! r9 Z4 o2 T" W7 ~) T6 m% \. f$ c
to setup-plot1
& w9 K) V$ ]+ ^# }7 H
5 \/ [/ t' n8 F+ sset-current-plot "Trends-of-Local-reputation"$ b( w: O1 e: _) e9 K) |, |
& B- z& Y& o2 {; H9 c
set-plot-x-range 0 xmax& v, P/ h9 W; C
1 Y" _9 {! `( I& ?set-plot-y-range 0.0 ymax7 F8 p5 p! q; m8 _. m& t
end
W# X7 V9 F$ O" t% v3 X
6 d" E: \# z# n" h- M8 \; ^to setup-plot2- x! A& c! T; N2 Q( }1 b" n
/ h7 a5 O! J" Hset-current-plot "Trends-of-global-reputation"
7 |/ `# C7 E. ?# ?
( ?) A0 i: B; x# ^% v8 sset-plot-x-range 0 xmax
) R8 Q s. O0 }. f2 V2 h9 ]( ]2 p1 I
set-plot-y-range 0.0 ymax
9 a9 X" c' X4 u( ~* iend
' d8 ?4 V6 ^/ q% T8 o& ^% N6 t, S' K2 `
to setup-plot3
: a3 a! B, v. v& E3 Z) g" {' }$ B# @4 k" @! I' M( r# s% _
set-current-plot "Trends-of-credibility". ^. G0 a+ A; R0 R- y- J5 ^! y
* k$ u. b: F/ F& T$ e
set-plot-x-range 0 xmax4 p2 T' {. M, Z7 R# ]
) g/ B0 [: O) o/ ]7 z$ e4 u/ U3 Jset-plot-y-range 0.0 ymax8 s% _9 z, q ?4 s0 n
end2 d; p& |' S+ Z! [0 z
+ J+ F0 V4 C; l3 c$ Qto do-plots
- \& D5 R' K3 w' yset-current-plot "Trends-of-Local-reputation"
9 N' ]9 i6 D3 N# ?% T% u; I! ~0 ]. oset-current-plot-pen "Honest service"! @' l3 M% l# J2 [5 z( X5 D: u
end
4 P& h1 V. {4 ~, j
, P& k( X: r/ `* l# F1 G[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
本帖子中包含更多资源
您需要 登录 才可以下载或查看,没有帐号?注册
x
|