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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
. f$ k. R# d, H8 g) Q$ v0 s- x# @globals[
% E! |8 R5 Q* f% W8 W8 A3 Vxmax
) x1 f' N7 S/ ]0 W" O. S/ ], o mymax
6 V& @, x( S3 y7 B4 ` N8 lglobal-reputation-list; S; q6 B2 m. l- k1 {8 }
! l) D! z# P* V+ B0 l. k;;每一个turtle的全局声誉都存在此LIST中0 M C W+ Z1 y3 ]% i3 K
credibility-list2 H C$ ?2 U8 T# q
;;每一个turtle的评价可信度5 L) s) s2 M7 b/ i/ z+ p _9 z& m& w
honest-service7 k3 q/ B M! E
unhonest-service
5 G9 V3 i& b# J* I- X/ Coscillation6 I, }( _4 u/ v, u0 N
rand-dynamic2 T% w+ T: i' N8 [; \
]* @- G; d% _5 i5 W
& {; p: F) X8 X N
turtles-own[& X2 G7 D/ w0 H3 b
trade-record-all
2 v8 u2 J9 C {1 G0 h' ?! J;;a list of lists,由trade-record-one组成
9 |6 K+ t. W1 P& o/ a, z7 gtrade-record-one
. Q r( \& _9 T0 ^4 k9 ^& w;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
/ W! O" S2 m& l3 U" A9 `. O
3 w! a G* M3 }; x0 K;;[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]]
+ q+ @' A& T* k/ y/ ytrade-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]
@$ B( S0 b! H) Wcredibility-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' N: H/ L: R8 H Z( Z o- G8 k
neighbor-total
6 S9 s4 K6 w5 q$ y;;记录该turtle的邻居节点的数目4 y) O9 G# s0 @; H7 z2 H
trade-time& x. o8 J' _+ N# T
;;当前发生交易的turtle的交易时间
5 z3 d; K1 Q6 u# g! _appraise-give8 B8 y. r$ d8 J, N2 {! D
;;当前发生交易时给出的评价% }% n$ }# }; S# y6 Z
appraise-receive
, w1 R* q' }% I( ]# t;;当前发生交易时收到的评价
* ]$ x' `% q# o5 v4 c1 eappraise-time
/ k! A8 S4 C% ?' Z: `, `3 k;;当前发生交易时的评价时间 d# p7 v8 P% H O1 i! Z
local-reputation-now;;此次交易后相对于对方turtle的局部声誉
9 ^4 {1 s6 O; H7 m9 j. {6 ]7 btrade-times-total
! C2 ] w V; Q0 l( r w: m q;;与当前turtle的交易总次数
+ @+ P4 c. v8 {( s7 [trade-money-total; g. j2 P% O2 v1 v% X4 A Z
;;与当前turtle的交易总金额& j8 |! T. ]8 D2 i2 p
local-reputation
J4 {/ @, v/ K- {' G' oglobal-reputation
3 r7 O% p2 E& O* K+ ]. |credibility
f2 ~6 \. H1 {* N! h$ `0 \;;评价可信度,每次交易后都需要更新/ ]! d0 x5 P. f( z; H% U
credibility-all
$ k) ]9 U) [8 g- I) ]6 z- m4 v" w; W;;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
% H! k" u/ c5 {$ K. I/ T5 c$ n9 @
, x' x3 {$ H, K1 Z5 O6 m# E;;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0.59 v4 F3 R" L& B$ {
credibility-one" R0 ?( }- f1 T8 q' l% 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
5 x F8 w3 r, O) Oglobal-proportion
. I3 m# X* {5 r3 o) Ncustomer4 Q0 v( {) E- f2 S0 B" B9 k& w
customer-no, _( e* h* a% Q4 A
trust-ok# B7 `& n0 b' b3 v" N0 s& X
trade-record-one-len;;trade-record-one的长度# m& {2 m# x0 ^) Z8 t) R
]
( A8 [3 r) O- w2 F F
R |% J1 R) e2 G: D( d0 E& N;;setup procedure
- y; O* p2 @! b9 ^+ ^! z; k( k) d! k M3 i
to setup
( w5 [! u4 \/ o E
8 B7 p5 M' @2 J8 j- Aca0 t7 P! l/ ~* x1 l1 Z0 R2 F
3 |8 s% b* W: W5 |( M! qinitialize-settings
9 [: Y2 R' i* H, S B- o
o F, }6 P; y U1 n- Ncrt people [setup-turtles]# t6 k2 H. v A- s+ |+ u8 [/ p
3 O# x9 Y( Y. _4 p+ h1 Kreset-timer9 O: h- A j. i/ @0 u$ Q! S m
# N% J. }4 ^1 [( e3 ~7 L
poll-class
) a3 u% j9 j, T" ?4 l
7 m) |( W& d0 r; y% ^setup-plots0 p5 u# i# y0 `( c
g* d) t# K0 Y% b6 W2 I1 m" Edo-plots
5 q: a( W/ H; m: _2 zend
( s9 A7 K5 q6 `$ T" s* {
* I5 X! e; c8 `* V* J7 O/ Sto initialize-settings
' ~1 d+ |( I) K2 T' d% q7 m
4 F, B+ o" o3 }2 Q4 [4 ~' p% Sset global-reputation-list []
: Z9 F( t: r" z: y3 M; Z1 c
& v/ k1 ^, r1 tset credibility-list n-values people [0.5]
% T8 V7 U4 o( w9 g( {7 ]6 N: X& M7 L8 R8 W
set honest-service 0
/ s7 \2 }/ d) ~ a$ t1 d
5 n0 ?: ~: D4 b+ o1 Q0 Q& k# Yset unhonest-service 0# B9 E# j9 |; M& n( t
' q9 \. h) g1 k( _$ pset oscillation 0
: A" M* r/ G8 w; a" n' c& e4 d; |) J/ }9 ?- K
set rand-dynamic 0
& E! L4 p) g# H0 K2 w, ]end
" V" V, o) k: `$ p7 _
& I. ~0 d. L' Ato setup-turtles $ T2 k4 M1 y4 C- S; @9 d. E# f- `
set shape "person"
) }$ [3 ~ x8 hsetxy random-xcor random-ycor! b$ h# Q0 r+ f; L1 P, |* d" M
set trade-record-one []
- x- W$ L' n6 E" p) B* ^" c
0 K9 {: B5 l5 F* D8 A* e) Xset trade-record-all n-values people [(list (? + 1) 0 0)] - T. X! {) y, T% F5 p. b
' _/ g+ e) O2 _( jset trade-record-current []( L5 @8 [7 o. S4 A: l5 k% P& X, h
set credibility-receive []& K* C+ j9 I6 p# u. x# o
set local-reputation 0.59 d4 r: _0 \, h! e0 f0 {
set neighbor-total 0; z. ]5 R- a# y
set trade-times-total 0. u( M' `5 z3 V0 x$ n
set trade-money-total 02 h1 @/ s, e2 d" ^6 F$ J \' }* `
set customer nobody
) x% o% A6 z' M2 g! k& Lset credibility-all n-values people [creat-credibility]1 a! R) B0 l& `' y7 Y a; o- f) w0 P
set credibility n-values people [-1]
" Q6 ?( i8 K1 Y+ fget-color
/ s) M! D. R/ }) y9 t4 a% U6 q) c8 J5 J* P: V3 O' f( J, i
end
H# ~& V6 k* v7 @4 r% Y, n2 N2 a8 a0 }7 E2 o
to-report creat-credibility
/ P: F0 ]$ R C; ^ jreport n-values people [0.5]
/ U) b4 E3 c* P, }end
0 o$ }, H% M( V6 [' n& ]4 ?- U W7 V
to setup-plots
# B S2 e. ~5 _) u
0 P1 H+ l9 P# E+ S' j8 _; g. xset xmax 30' R+ Z7 V- u8 k, q
! J" D+ \5 Z; ~6 y4 F
set ymax 1.0) u' V, n7 n' j) j; T
* t. \; v% Z! R6 @4 x* `
clear-all-plots7 ?: _+ Z# |3 S& G
2 b, w' h* t; {- Vsetup-plot1
. d, u' Z$ X. @
, @% o7 T d( e0 k, y, Wsetup-plot2
: }/ R9 u' M7 W: E+ N: E# D
& w* f7 m: M8 A, V M2 R$ Dsetup-plot3
`8 Z; @4 J# w% T+ p5 r; Z; J3 |end
3 Q# c. ~. E1 J( i, G' l6 O3 N8 z7 I. q7 O! D
;;run time procedures: W8 A3 {* y3 S/ n4 m5 N( ]5 z
] c' Z& g; q
to go
2 R9 u% j- R( d* _9 P. [. v6 D' G5 @: l$ {
ask turtles [do-business]
6 I% P) t5 e ]+ S# C5 y. Gend
# M9 d }9 b& X+ g
2 a. F9 r$ E/ k- E$ P9 ?to do-business
* @/ s; p! M8 ]; k/ |. e; p
+ i( }$ t: E9 a) \6 Y6 G+ p/ a
/ I' {0 \' P9 Ort random 360; b9 `2 U" w% b9 a
7 n# T% I; \8 S" E+ q7 Cfd 16 z% E7 k$ z# ?. ^
" O$ |4 w- l7 \, D# fifelse(other turtles-here != nobody)[2 Z! j' L8 b+ q5 R0 M) Q# a
3 J0 f5 a0 q# P4 s9 S* W, kset customer one-of other turtles-here
a n G: |1 |$ d& f% r8 ^1 |7 l" z5 y
;; set [customer] of customer myself' G( h1 |6 ^" d6 a
# D$ h5 `% r' h0 o+ K& h' W. C+ u
set [trade-record-one] of self item (([who] of customer) - 1)9 K V: i# t- S$ c
[trade-record-all]of self+ e' J, w, {; L5 n6 h
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self0 E( C$ y6 v1 n! i$ r0 e, e( K3 g! p
- _) i+ s- A: O/ bset [trade-record-one] of customer item (([who] of self) - 1)
# @# {$ c; i9 V ?% i! T8 G1 L[trade-record-all]of customer4 H! p7 B: Y' A. w5 t
5 W1 c! t7 b& bset [trade-record-one-len] of self length [trade-record-one] of self
7 a0 [9 {! [! B
0 M- j/ b: N( L. M8 q) Rset trade-record-current( list (timer) (random money-upper-limit)), R: ]. A" C- b" i) j5 K
$ \0 x6 b7 E1 [, X; w: z# l, hask self [do-trust]
% E% |7 w) r7 g5 t8 @0 c Y+ _;;先求i对j的信任度( n% i* n0 Y; u# e
: o6 u8 B& h; k) [3 q# b4 B2 x
if ([trust-ok] of self)
8 Z6 W0 [& U/ Q( c: M4 f;;根据i对j的信任度来决定是否与j进行交易[
1 T# m+ L5 @6 l# Yask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
9 j+ ^& @ G* p# H$ L @# B( Q6 c- h9 x8 T5 F3 c6 T! Z+ c5 Q
[
" j& W. u7 `2 i) \! w2 G. H6 K6 V6 f# ]: i7 V
do-trade4 |# H( @1 O& t
" t0 D7 r! h" d. f6 M8 ^4 uupdate-credibility-ijl
L7 p: a% g+ Q, u, @; J
% U( V" V0 _7 ~* rupdate-credibility-list m3 v. l& z6 b9 ]% m
* ~9 ^3 u! w" W! m$ d6 f
5 D! ^# W5 |, E0 N
update-global-reputation-list3 p& A( E& K) ]1 f) j
' s$ w n L% e/ I4 X8 Ppoll-class
- s( z/ t: V& R0 K$ |. w3 w/ w; k! A$ i3 O3 m. q
get-color, P- f f7 j# @
/ {* W1 |" s. f7 A' \! p]]
' Q2 W' i3 v8 a/ d" O: y! u( e$ [# F; L3 K4 b
;;如果所得的信任度满足条件,则进行交易
: W+ V4 L6 w: p0 X6 T1 h3 @5 _5 n
) N' C( T0 Y- F, T2 j1 v' ~[
# ^* k% m, \; {$ M% e/ j' E4 k: Y; s% l$ C& f! ]
rt random 360! _ C8 D& R# @3 E
2 J1 Q8 K$ U1 C& y$ `1 G+ T. gfd 1( R# q- o+ q |0 K
! {% u9 e5 O+ S$ x) }]; ~3 f! K5 @( _$ `5 q" B( F
/ t- M6 {0 i- F% ?2 U7 Q6 yend
' U6 ?4 n, G. z- U3 q" e/ n
8 D$ [5 ]* r1 F l6 C" @to do-trust
+ s7 {) O6 I8 `" q+ Iset trust-ok False
7 m! V5 r( _! b9 N- @. R! z/ N" \' [7 R5 X
7 j- i+ j! O; r* @" q; M, h, tlet max-trade-times 00 W7 Y8 A* ^" E: `
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]. z: m* i5 A1 V8 `& P( D
let max-trade-money 0
- j# H6 o6 B U& f5 Z( ?+ oforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]! I' d* d0 Q' R# O5 f g
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
) h7 O" _) n" W0 M0 z5 ^+ |2 o) f* ^5 R" Y
% C1 O3 O* u: }) i; f+ l9 ]; Aget-global-proportion* ]; D4 V0 E8 b
let trust-value
& w! B6 J9 r2 p3 Clocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list). T, R9 n3 C8 E: [1 c- i
if(trust-value > trade-trust-value)- `; z4 m% A+ _3 ]8 D
[set trust-ok true]
5 x$ u j: A. ~" \end+ [" x. `8 ~# B. c
7 E1 {0 ?0 S0 k- Q0 }+ A/ w
to get-global-proportion( a( t4 r9 v! C3 h
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)4 C# x5 x# }, `0 L/ L: _6 m; C( ] y
[set global-proportion 0]0 C2 V" t2 O7 r; r- c2 K! J
[let i 0" G& f! O, @ \: w
let sum-money 0: r A% M3 S3 k }
while[ i < people]
' n0 W" G; P r4 V; v[" `& @/ P$ v' J* y: H
if( length (item i
, Z: Y% Z8 g, `2 A% L) v" O[trade-record-all] of customer) > 3 )) A" L, L3 n9 e( ]4 a
[5 L# x# s2 l+ O2 c' ?
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
- Y/ D: m- [' `]
* t* j* K/ @ f]# y: v$ D3 h( t/ w/ ]
let j 0: ~6 |) W6 x7 {; |8 w# O2 y
let note 06 e) a3 p; E9 r- v6 _
while[ j < people]6 W/ G' U0 F- y9 y$ M7 h
[
/ b4 ^ ^! p" m" y% oif( length (item i
, W+ a1 o; s; S6 B( i, Y[trade-record-all] of customer) > 3 )
" |1 \- K5 w, {% u& g, S8 S$ r0 t[
0 H. a6 k4 c3 w, N# tifelse(item ([who]of myself - 1) [credibility] of turtle j != -1): e6 z0 {# {% O7 o
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]- b, N L! @" ]( |4 `
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
# e) w9 j' _( q0 D9 v]
) U1 L: j' y: k. s( k {]$ s0 a3 V1 `. l5 `
set global-proportion note+ E, [: k4 J6 s* @
]
, F4 }: u0 D1 tend
. p! n" k i) Y" g" y8 k0 V8 \, v/ [9 `4 c$ p9 j, ~3 w
to do-trade
( n0 D; b' U: g+ P6 j) w* f9 v;;这个过程实际上是给双方作出评价的过程! \" c; @) o6 B
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
1 n+ h. E% x& V& J/ Nset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价0 K) s" u( t; Y/ G' _: e2 G+ h
set trade-record-current lput(timer) trade-record-current
/ I O3 `) O) c# y) I9 G& `;;评价时间
; J( @8 G0 k2 @ask myself [
: N8 b+ g- I" Pupdate-local-reputation: d& z+ E" c# R+ z1 k) R
set trade-record-current lput([local-reputation] of myself) trade-record-current
S! J9 k. i+ a, P]
0 r3 b2 O2 [6 N9 _4 r# W) |0 M% wset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
0 t) R$ W$ T2 r1 \9 Q+ W;;将此次交易的记录加入到trade-record-one中4 t7 _3 N7 W0 h& c% \% N8 b
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
8 u( o. U( O$ [8 n& nlet note (item 2 trade-record-current )
5 x' G& p- K0 C* A& D, b0 iset trade-record-current
9 _4 z g( ~. t6 M( f( D" i. N(replace-item 2 trade-record-current (item 3 trade-record-current))( s( `3 \2 s$ D: w# T) K
set trade-record-current
0 }0 S' c H* C(replace-item 3 trade-record-current note)
7 v1 L7 h! E% z: `# X( [0 i2 A* `" a; J; v" F4 G$ Q' ~! Q* }
5 n- ^7 @' F! t% ^8 k( Uask customer [
# X$ D/ T2 r8 ^+ O( F* dupdate-local-reputation3 k2 l$ C: [+ {/ w# ?2 H2 r. E
set trade-record-current! }( M- S+ f9 n4 G m. n
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) 5 c L/ k8 A' s1 }9 J1 k
]
1 x( b% `4 W( h% _
+ r' b6 o# c [7 u7 ]1 d5 O
9 R: q7 A) `, t/ k2 p O, n. zset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer" A- B0 b5 `8 \6 r+ M# ^
! q: ^7 }! q2 Rset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))# Z* z4 `. a2 o2 W/ V$ g2 g6 w
;;将此次交易的记录加入到customer的trade-record-all中) A3 G9 }% j" s! P7 R2 Z
end8 {( j* B. d1 b5 f0 B8 A9 A
0 Q' u$ r; a% R# C- _/ R+ [ Fto update-local-reputation
) I& o$ [+ C* }$ J2 v9 v1 U! Bset [trade-record-one-len] of myself length [trade-record-one] of myself
' M8 j3 g; V5 m. _+ C# s- K
0 `% Y3 R" J5 o U2 u# t A
0 g3 v* j2 o9 K- X;;if [trade-record-one-len] of myself > 3 . ?# W" F2 H" u5 m. K
update-neighbor-total- C3 ^9 I2 |/ @* b6 U) I0 |
;;更新邻居节点的数目,在此进行
4 K9 r8 A* d: v E$ M( V2 Llet i 3 o9 E& I3 V! Z2 g' b
let sum-time 03 B4 G8 \- I) S6 b& g0 n& D4 z% f
while[i < [trade-record-one-len] of myself]
1 k* e& n$ C% a, Z( k R9 g[
; U" v+ a$ K& y- Cset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
& m$ }2 ~0 z4 b8 y5 s0 m6 Wset i0 `6 }5 A/ X O- A" r8 D
( i + 1)
( z- @# X a' E- V]2 y; U3 r& {: q: o4 h# u2 Z: ^
let j 3/ e9 K8 Y& G6 A- i& M4 x
let sum-money 0; _. T; [/ z5 X/ @6 m# p
while[j < [trade-record-one-len] of myself]1 @/ |( R, D. n
[
2 O3 U v5 U2 r1 L) P; X6 bset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
8 ~7 f! a) C% k1 h) G4 |set j
* f. E$ D8 [+ R# @2 `( j + 1)
+ a" y/ C. |2 T1 Z i+ T' ^]
: W! ?! r) M7 G+ h, tlet k 3& J8 i* U# Y- Z& y7 |0 P, N
let power 03 o9 R9 h W. y
let local 0
* l! w8 x( B% @, x, a1 Lwhile [k <[trade-record-one-len] of myself]
0 ], q7 U. c: R w[8 }, ]# C7 Z0 _7 V$ f8 V
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) % p! [" z5 k* J" ]
set k (k + 1)
) F+ x, Z& E5 }3 M' {- t]
7 R- r5 m) i* d: _! l! D. ]set [local-reputation] of myself (local)! u% z" D$ i3 K: ~/ A; C, D
end% n4 T: u0 R; N; L! Z
7 T" p7 l2 i* \ ]% rto update-neighbor-total b8 m u6 \ S6 |5 g
, v0 F4 W' w" X: W4 Mif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]7 A8 G- U. Q! V% \, p
$ \1 v* a7 y' ]3 ?0 j
9 `) a: _( j0 B4 E" T8 [2 u
end- G- G1 r3 e: v
: m8 O. L4 I/ b! b. [, A9 @to update-credibility-ijl
# @% t0 _# o3 }; J- x- n
2 P( I- O# W# I k3 i/ K;;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。
# C6 K8 d) F7 X% S8 m/ M* }let l 0
6 @. G6 f! Z8 P8 `7 {; R) mwhile[ l < people ]+ M! z$ o3 q: p2 Z+ 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5 g' Q: _$ b! q
[
. T1 u* w! I- A) A. Slet trade-record-one-j-l-len length item l ([trade-record-all] of customer)# e8 }. {* U1 y2 s! n6 \
if (trade-record-one-j-l-len > 3)
% Z' M8 L7 b" c) P' J5 `5 m7 F% X/ [[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
, ~. L+ y$ [! U$ xlet i 31 {; [% \$ q" x& v7 N9 W: Q
let sum-time 0
2 E8 U1 ~6 ~5 K& g8 owhile[i < trade-record-one-len]
* ]8 O3 R8 }! ]4 | k, [[
- b$ n' j) d2 ^4 L( B, Pset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
1 V/ c8 z, t2 A9 `% Uset i
+ e' m2 d+ J1 G, w( i + 1)8 K8 L" h3 b9 Y' G* K, p
]
/ n" D& x. R4 i) c- Slet credibility-i-j-l 0$ a8 i9 r K! `0 Q) Z# {( M
;;i评价(j对jl的评价)
1 J" [8 x& e& K0 F" f9 B' elet j 3$ w7 b: n" Y! }+ G- Z; v0 X5 j
let k 4
) I" N: s1 P$ N6 W9 ^$ m( ~9 n! s% ?while[j < trade-record-one-len]
: n4 N3 V) }& e" P N+ P# S[4 V2 A& x; f$ [: _2 n' f- g8 M
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8 d! ]/ e; x" T- ?2 L
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)
4 g% i B6 ?5 U, C cset j
7 W! y3 A; h; j1 v7 T5 l0 ?! L( j + 1)
/ C2 M! n+ F5 Q7 v3 T]& n4 t/ I( D `5 Y* d0 n3 G( c/ s
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 ))
/ R5 H9 s% n" t" K4 y
# u$ W( o: L. U9 l x# Z) _: K& I. _0 s& O8 `7 ]
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
" z5 `, D, k$ u* J! x;;及时更新i对l的评价质量的评价/ ?2 J4 G. L$ j: c3 m. q
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]- t0 D5 z$ U7 e: t, |, I8 e
set l (l + 1)
' }& @2 R& y/ p2 l]
! s9 K$ H: z5 Kend
- p4 O# C2 _* I* @ @) L* b* I" J, t2 K0 Y6 j# x) f+ [) U1 T
to update-credibility-list$ }. D; e& c# b# {+ d' D
let i 08 A, u! \5 e$ b( ]9 y$ u4 \% v* x
while[i < people]' o2 Y% _, n+ x/ W1 N i/ m- X# `9 r
[
! ?+ l0 j8 D( o! ]: \0 Jlet j 0
6 `0 i9 `0 F: g8 R# f" llet note 0
) g# S( s6 ~1 o0 g# } blet k 0
3 _/ L. ~0 \- h7 B& T) H6 X* ]; p- B;;计作出过评价的邻居节点的数目
% E" U3 c5 m. \& Mwhile[j < people]
" c0 B5 |; E- u% `6 L. K( n[
# G, m3 B; F0 eif (item j( [credibility] of turtle (i + 1)) != -1)
( y: c- z0 f5 `+ y;;判断是否给本turtle的评价质量做出过评价的节点
' R; H( D; d' Z7 f[set note (note + item j ([credibility]of turtle (i + 1)))4 m7 a2 a: P6 ~2 p# V
;;*(exp (-(people - 2)))/(people - 2))]! P/ P4 J0 V& F/ s8 f& c
set k (k + 1)
) p6 t/ r7 Y; J] A' b% L5 Y R$ x
set j (j + 1)+ I# Z/ J" E5 v7 b
]
4 X- L0 a8 ]( ~$ rset note (note *(exp (- (1 / k)))/ k)
; J) y9 T0 p% R2 s: X$ `set credibility-list (replace-item i credibility-list note)
$ B4 H# Y/ q2 l+ g9 ?set i (i + 1)! _2 W3 X4 H- w. j
]
$ K# j7 d; e/ c+ m/ V1 L% Hend
1 A4 m9 S9 h5 l2 q1 e9 e0 ?7 k! N2 T5 h4 _" |# l f8 y% v
to update-global-reputation-list
+ }! S# h. Y) `/ C6 }- I6 h" mlet j 0
3 P- g+ S8 \4 V1 \' vwhile[j < people]; T. y: q: e& a0 M/ j
[& k) ]1 o& t# L0 L3 N2 {" A
let new 0
) f% n- f; _% Q* b. V1 H: V;;暂存新的一个全局声誉
& m F+ }/ }+ b$ ]0 _let i 0$ l0 E0 u! i. F4 v
let sum-money 0
( W, [+ V' t7 m/ M, f% nlet credibility-money 0
. P9 t" n- Z6 ]" U, n8 ]6 twhile [i < people]
& u' g" h2 V ^ O[
F' x1 g5 V- x1 F. j3 }! v2 S) @set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))5 L) p6 p6 w4 b0 B+ q& M: l
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
+ ?) V+ B4 b+ F9 O1 vset i (i + 1)
0 n. j: T* t+ ~$ E: K2 j]
. @. k2 K. d8 zlet k 0
0 j* R6 H. y. Y6 Ilet new1 0( a- C! ~7 t9 L3 m2 g
while [k < people]
; T) o5 B& J4 B5 C% d( F[
( o9 M* r8 \; D9 D$ N0 c9 |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)
* b5 z V. j+ xset k (k + 1)3 ]' S6 @+ e5 R% {+ M7 v
]
/ K3 w" _2 L* R4 Oset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
$ {4 {- Z7 ~; k% R9 T* ]9 ?3 H; rset global-reputation-list (replace-item j global-reputation-list new)
! l; ~# b6 {! A" Lset j (j + 1)# \! m# B, t$ M G7 P6 v
]9 F2 O# e Y6 `2 c0 h) q5 N$ g
end }. X/ G) D6 C* l
7 f* C; W9 }3 E' g( H
$ x# |! V* [( @8 e9 p( y; G0 O7 h. @( h0 J- \+ R9 @6 D
to get-color0 j7 j5 J& |4 I( D* t6 ~
1 { L8 {* b. s% w. o) x7 l- F& p; e
set color blue) w! ~1 \8 z/ S: U$ Q: z
end
# S- d& I! I0 J+ K) C# m/ ]( C4 O2 J
( i& S0 {' m1 R; R; Rto poll-class
! H( |% r3 g' }# {! M0 kend4 v& \- x9 \. c
& k. B' u: h& ?+ j& ~8 yto setup-plot1
1 L2 k U- d- A/ H/ F$ {5 W& W* b: U
set-current-plot "Trends-of-Local-reputation"3 F6 `' C: d* O3 ~
' W7 y. X4 \1 z' g. [+ ~& C
set-plot-x-range 0 xmax \) u( y8 Y, f, a2 ~
4 g3 B4 O0 n' v7 D* ~set-plot-y-range 0.0 ymax1 I. B+ ]0 T' x
end
0 K6 S& d3 U" l" c6 ?# b O1 U- V9 l' z
to setup-plot2: y2 k, F- k( Q: z% [) ?# L3 K
]7 }- B& |/ @' Q) H/ R: vset-current-plot "Trends-of-global-reputation"
; L+ f% ^, |1 [- O3 x4 d2 |- i5 P3 d. R
set-plot-x-range 0 xmax4 Y0 _: o" w) `) G" A
+ F0 q4 Z E' D# L/ `! H' aset-plot-y-range 0.0 ymax7 k) g3 l$ k5 ^3 Y1 X* }' ]
end
R8 x, a" V$ p3 O: ?4 |$ w( j
3 v+ [4 t* r8 Lto setup-plot3
, p8 `6 n! j" m8 K, H8 S7 c- A, u
) F/ d9 R2 Z' b, J# o! ~set-current-plot "Trends-of-credibility"; c. r! t8 |0 W( g7 `' z
/ E0 g7 @- ]# d0 V5 Y( Y7 ^
set-plot-x-range 0 xmax x' e' f) W" R. x1 [8 ]; X8 d
# d$ O! }7 X' D9 n }; W, V) {6 L
set-plot-y-range 0.0 ymax3 u1 d J3 e7 G& H8 {
end) Y3 I) L# @+ s/ ^4 ]
) l, @ w0 y. g5 f1 y5 ~
to do-plots9 w5 s' H" ^6 K
set-current-plot "Trends-of-Local-reputation"
, T: m4 d# {7 i6 q) zset-current-plot-pen "Honest service"
, E5 s; t& V8 {+ Y; g$ mend
8 x7 [, s0 H- d6 b5 r g! R2 S5 j: L4 S4 Y5 D1 n
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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