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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6 c: A6 [; n& A- K1 p
globals[$ `9 M0 T& w6 V7 {' v
xmax
0 h3 K8 r9 h& |& ]2 Y. O) _ymax
) O) S4 o2 v( h4 w8 V8 H9 tglobal-reputation-list
2 d: ^( ?. C5 n, @
4 h8 \( N/ N9 C1 b;;每一个turtle的全局声誉都存在此LIST中
7 M. i, x8 t- R; J$ E3 I bcredibility-list
4 G& t* ]4 b) _$ e$ v4 x;;每一个turtle的评价可信度3 ~- @& q1 |) ^% S
honest-service
4 y1 L3 b8 n" E! Ounhonest-service2 G }" B# ~+ _
oscillation" I# e, E6 Y: @; D3 k0 y1 n
rand-dynamic3 U: A) Z$ B. \, a5 d* k8 {; @
]( f" w/ R* h# {1 }: \
" L* F8 c. ?' l+ D8 v1 T
turtles-own[4 y* g% V& M* ^' l$ n% r/ u
trade-record-all2 p4 F0 A' L! n
;;a list of lists,由trade-record-one组成
8 w: |( M5 l$ W7 v: Ntrade-record-one
8 v+ R4 l& F! e* m; N;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
( d q3 J4 O4 D6 W# w1 v
" _- @" R$ A o8 V4 X2 [0 x" N) y;;[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]]! o/ E$ K% P8 D% Y
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]! B/ z& j# H. ^& \
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, ]: F0 x* A( ] `% W2 t9 @
neighbor-total
) O P% y6 T U" ?* H: U* C;;记录该turtle的邻居节点的数目. F' C* R/ Y6 e$ s. D) t' M
trade-time1 Y n# w3 r" V7 T- U* `# x: M6 q s
;;当前发生交易的turtle的交易时间* h+ G% C( l! z- F4 W9 e
appraise-give# u/ y' A; x4 n: l0 w5 b4 K( A
;;当前发生交易时给出的评价
) g( I' n- A# gappraise-receive4 W, c$ Y9 {7 r+ G1 ]5 t3 q* V! ~
;;当前发生交易时收到的评价
" @ D1 Z# |! F vappraise-time
9 f& n" x7 Z; I9 _+ `4 n: I# d2 B9 M- V;;当前发生交易时的评价时间4 J# h: R k- h( d6 }- B9 t
local-reputation-now;;此次交易后相对于对方turtle的局部声誉6 C. e: i- h u5 f7 p3 z' M
trade-times-total6 Z# M+ u. o6 i0 T% y; a
;;与当前turtle的交易总次数* l. G; I! S# G
trade-money-total8 H' d! J& ]" g! _9 q1 m4 g
;;与当前turtle的交易总金额4 j p. f* z5 _# l N2 A3 N
local-reputation7 n7 m5 v9 U3 F! W# J/ D# o
global-reputation
. B0 d8 z% t7 V# acredibility# X# m+ C. k z- G; ]$ l: L
;;评价可信度,每次交易后都需要更新; Q" l/ Q1 Y# Y" ` N2 C% g6 v& D
credibility-all
9 M3 p O# c+ {( n; \/ C C: F;;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
9 \$ G- v5 l4 Y! {; g. u1 U- k/ i1 ^8 h, q, C& l
;;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
& u3 s2 T5 x1 {( I% wcredibility-one
/ L- J7 z2 e6 o# O;;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7 h$ x" i- I8 D- q# R/ x
global-proportion
# r3 U* I; L6 P: M1 }customer9 K1 z0 }! ? d. U
customer-no
, H7 m# x) e: o' B+ J( otrust-ok6 i# o; b" C7 o+ O1 C& s
trade-record-one-len;;trade-record-one的长度
& t0 ?, t5 p. y# \# {]
6 o7 z" Y, V/ A7 r# N& b# K, [3 D3 y
;;setup procedure( V3 L9 L/ u" B0 ]
+ |) [' n. r- l$ q7 O* eto setup
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ca$ X- }. {" G2 t i( c8 {- Y( d
4 s- `8 ?) y H j4 Xinitialize-settings1 y3 L( j3 ]9 p
% T7 d* L, O4 }# D
crt people [setup-turtles]
# J6 G- s) l% H- V4 O+ m
+ Y# w4 c0 ^% T; o. y* ?: r, vreset-timer
* X) A. f. G- V. `" }; O3 @ H3 {. L
poll-class; S+ g$ D! k' b
' w8 [, n- q3 x& S
setup-plots! A* U/ Z4 R. c2 L% y. i3 t2 i
, N! I# P ]. U. w: tdo-plots
0 j) ]/ N& P1 R" e4 c1 m4 d. qend) T! R$ |, `* V1 F
: Z! f: F! R, w% X' z- Z, ito initialize-settings
2 r1 h% F) Q/ P, ^
4 s0 x" h( f' x4 Z8 G( G/ ^set global-reputation-list []
8 a- @ b! e3 i( D
: S& i: X% i5 X6 Z3 dset credibility-list n-values people [0.5]
+ z6 j% M [4 t% ? M. U3 m% A) Y; ] d7 Z7 j) E. g& I6 G" E1 d3 ?
set honest-service 0
' h7 G' |/ C) @; D
8 Q* F4 V( h; d! d& kset unhonest-service 0
- S" \4 C+ L+ \3 C$ g& @$ d1 z
set oscillation 07 ?% E8 k* ]+ }
$ j, `$ Q6 I/ _$ f: S
set rand-dynamic 02 I7 n: \1 M1 G8 u5 n
end, |7 P, l5 Y: y7 T3 e2 }
3 d q" p9 ^) I5 u7 H% q
to setup-turtles ( ~2 }+ d- k7 U7 z1 ^
set shape "person"$ A6 O' C+ @. P1 ]& W6 y
setxy random-xcor random-ycor
: M; `; V9 ^ O6 Y: ~! @set trade-record-one []$ p+ ]' ^5 z- n% u
! V; [% J8 u( R0 ~( z/ C# yset trade-record-all n-values people [(list (? + 1) 0 0)]
5 G+ a* u8 U3 @) C& i) ?4 ?& Q6 R& {1 q% l8 v; b
set trade-record-current []
, ~- n# ^& a6 l/ B6 W3 Bset credibility-receive []' a9 _6 `6 J" K) i0 l5 @
set local-reputation 0.5+ i* X a ^) {4 ?
set neighbor-total 03 k: e6 G$ g O9 e' X( g% R. E9 Y
set trade-times-total 05 {$ i7 P& |& [% n; J
set trade-money-total 0
! P( ?) O5 U% dset customer nobody
* o; v* r# |7 v# y; G$ sset credibility-all n-values people [creat-credibility]4 E+ b: p. Z1 S8 x; ^( L [# L
set credibility n-values people [-1]
1 }7 K) N. ], A6 x+ S$ Aget-color& {5 S; B; j! }# R; v+ O. n, E
- c3 I- \1 A N4 c, c
end" R: d4 b9 f/ [ P9 y1 d* I9 @( B
" U. K* @/ W3 S) g8 m$ Y
to-report creat-credibility
% Z7 D: X" g3 p! n" V6 K1 N) Vreport n-values people [0.5]
. @( H& G; `' G! ?end% h Y: \7 x& n; k
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to setup-plots
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set xmax 30
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set ymax 1.0
: ?, E2 k& b+ d# E1 |, F& ]8 ?# B5 F( A* d6 m: `
clear-all-plots
. _0 ^, Q! u8 }6 O: M' d
- W4 R+ g+ q( o' K) H9 C' ysetup-plot1
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! x! x9 Q: u, F5 usetup-plot2* O) Q, \' }9 h( ?
3 l. P3 S3 x7 n) Y) n
setup-plot3
) d: D+ M7 m, U# ^9 Kend, K9 ^% u7 D* q( z
6 e/ u- l9 c: V; U;;run time procedures' C3 a( @& w/ K, a
0 d2 D: f5 V+ A* g2 Vto go
5 N b1 \. S$ {+ s/ P
7 P" { [6 ^8 U. i+ {, ]9 a6 Lask turtles [do-business]
( K) o* D( s( v( Send
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2 Y0 [/ o* a O0 Mto do-business 3 C5 w- H: M+ V$ ^: A \: Z2 y. X6 i$ y
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0 k1 _* }! A/ V: q ]; p
rt random 360- Q( w) Q) }7 r; p5 ?( o
# o+ f! p* I7 f9 A# o) j9 H R
fd 1* B% [1 l5 M4 _5 P x) q
2 E, b9 B7 U2 h5 j: R
ifelse(other turtles-here != nobody)[& F4 j W ]$ D; _% ~. G, |
' j+ T1 ^+ ]8 Q/ w6 e) q) ]set customer one-of other turtles-here- I+ N( {& x; M: R& e6 [
9 W( E7 z2 F- Q6 C% O. g;; set [customer] of customer myself' v$ ?+ V$ q9 r
! d: Y3 m7 c; \set [trade-record-one] of self item (([who] of customer) - 1)
1 E4 F) M: v( @: n+ N. n[trade-record-all]of self- s$ I# ~8 B4 b0 h5 ~- x
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
$ X+ C& S8 ~: ^, h* b$ F8 e' _& d
! d ]" q6 X0 H+ X+ ]$ S- _set [trade-record-one] of customer item (([who] of self) - 1)* N. f/ z$ p: H% A5 ^
[trade-record-all]of customer
6 l( D& J/ K, m+ O' E# i$ N0 _ z1 I3 \( ]; ~3 v
set [trade-record-one-len] of self length [trade-record-one] of self- O- \. w" ]7 P
) U$ z4 c! e: V
set trade-record-current( list (timer) (random money-upper-limit))
& [6 S. v4 u G! Q3 P( M9 {- }3 k8 E1 f, F& }' H b; y1 D. U
ask self [do-trust]- A( j. l! m) q* m3 t& l
;;先求i对j的信任度
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if ([trust-ok] of self)
1 W E6 b: |/ F; D$ |' B;;根据i对j的信任度来决定是否与j进行交易[* u5 U% M' X' R2 s2 y
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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1 Y+ a' J; e+ \8 c9 l( F[
- k# Z1 w+ I7 J: P ?' s
4 \6 K. P, D7 I1 E2 W& sdo-trade. i( A7 i4 ^ S& K& b
s7 ^9 ~" A! _" Q+ aupdate-credibility-ijl
2 o* }# J) ~2 @( R
/ d* p S/ u% h# g2 t5 i5 ^update-credibility-list
& R# k, _ n' y( b) I* l2 y& x9 R; j% I; S& H4 M0 l% v& w8 c, b. b
; f6 M) L: U# ?, {update-global-reputation-list) i' f, p. P9 R5 B+ N
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poll-class
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get-color
1 @' e) }- }* C2 \) |2 E6 M& ?% |! @8 Y
]]/ B% y- z( N9 w" a
8 ^ h! d. A1 _1 K
;;如果所得的信任度满足条件,则进行交易; k- M4 V! I& ~5 c6 U" S
; f, H& {) s/ M# L. b. a
[
4 e" g( i' T; c, @+ w7 ]+ s4 i9 j0 r! Z( Y7 R
rt random 360) ~; P: U0 ~: u
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fd 1+ F* s: w6 c2 W
( s2 Z4 f# H3 w3 Q0 w
]
. p. O/ @2 E/ K. a0 s2 F4 G1 I; k1 \6 ^; W# R
end
; m: U9 ^: W4 l5 V( ?7 ^+ u/ o! |) G' N1 x
to do-trust 0 q" P1 u/ H. S% J1 s+ [1 [7 c: g2 G
set trust-ok False) |' C0 B) g6 s( I
- F1 M! H) K! k- D
1 ?$ C& s) |) z5 Ylet max-trade-times 0
8 D4 H9 f& a& P% Hforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]" H5 I4 p! C, A ?
let max-trade-money 0- F7 t6 t. R5 A# B/ p) M/ _
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
: p; U9 s( r! O/ \. Dlet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))! }# B" v _- P
2 ~5 z# O" M. ?
$ q' _% n% J- ~* g# E% ~
get-global-proportion
: T. Y# A- W" Llet trust-value* A3 s; u+ N+ K- Q [# W
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)
2 P* G' o2 e: T1 pif(trust-value > trade-trust-value)
, Z$ @5 U4 ?* F/ v! S7 m[set trust-ok true]1 y% |0 K0 D5 X9 x% F! D5 F
end' z4 e0 }: g: N, G: h. w* u
( v& t2 Z8 H8 y ?& Z3 ^to get-global-proportion
! f; ~# U$ g, G8 e$ z$ q; r( yifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3). @5 q; `: x. m$ {* R; [; ~
[set global-proportion 0]
& y; p( _) j" { u: k7 a) f) M[let i 0
8 ]' J' c+ e# b2 j; w. r5 x0 |let sum-money 09 a" ?5 i, G/ k+ R9 X+ e1 q
while[ i < people]; g, q/ t# H7 e, ~+ A$ U0 Y6 z
[8 l0 b) Q5 R: v6 o; J6 ~
if( length (item i
: n+ }0 L3 J: E4 c[trade-record-all] of customer) > 3 )2 c. f4 E; k' M& u/ H9 h
[; N; @ U1 C! B8 V
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
4 r1 I1 L% F1 X]$ n; _6 g* M8 h! d
]. G: z/ T6 z9 r8 {' I5 _4 T, R
let j 03 ^# C( h( L+ c) b9 l: b
let note 0
, ~9 }" h" d2 O5 e* ~; Wwhile[ j < people]
( T2 x! r' f' a5 I[
; q+ y3 A6 O! m, j; Vif( length (item i. D5 C6 j+ p, _7 H* C0 D$ R1 a2 S
[trade-record-all] of customer) > 3 )8 h* G& _6 B V! j
[
: S' I1 i r5 \& A% Nifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
0 Y9 |+ d0 U3 h0 B/ D[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
. m- v/ _9 j1 V[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]2 j9 c# e/ D& _- N6 Q
]
+ P& I2 `$ c C+ T$ g]* m# y* l+ Y" v5 ^3 @) K& Z
set global-proportion note" n: H: H$ ?9 k1 m0 }/ G
]& O6 t4 h8 R# W. o
end
( h% |8 R D; K! o. ^
, G) ]7 I. G* v" n# k. R+ }to do-trade
5 e# A" K0 a" c) E;;这个过程实际上是给双方作出评价的过程
7 ?5 C" H1 [5 @1 Qset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价) v6 v8 B" Y6 A* U ?# G
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价8 i1 G: D+ q }' z( ]0 z
set trade-record-current lput(timer) trade-record-current
+ \7 S1 J" R" u/ @; F7 X* f) e;;评价时间 {- D+ N% S% o+ @/ U4 `
ask myself [
! \# D' q; h& A! s. ]2 ~) q( Eupdate-local-reputation* R, a5 I) s3 W, g9 D! u
set trade-record-current lput([local-reputation] of myself) trade-record-current+ S7 H& M8 P6 D& j/ G
]9 }. u# w/ v: m5 ?$ U d" |
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
' m% V c M' z& ?;;将此次交易的记录加入到trade-record-one中' P: C; z, A/ ]" }. \5 B/ a
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
0 W: x, \/ M& l7 R; mlet note (item 2 trade-record-current )( Q# ?3 K- A7 Y" z( k! ?( H6 s; G
set trade-record-current
/ |( Y6 k! C, {* {' W$ \(replace-item 2 trade-record-current (item 3 trade-record-current))1 i2 n( {) K- \1 r
set trade-record-current) }' u) i4 l; b( y7 h5 l* x- ^, M
(replace-item 3 trade-record-current note)
( ^* U" i) Z: e% g: ]1 |% z7 I2 a; V: T' f( g) a, n5 C6 ]
! b# e+ f2 m( |' c1 zask customer [
5 j( ?; l1 F0 [. z" Y9 n4 {( wupdate-local-reputation
) \0 m( c# X0 @3 o+ C) h, ?9 N& Rset trade-record-current
4 _" w. T- o" R(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
+ f, D% m2 W: }0 h) a V]
p6 g1 o' y7 ]+ V3 L Z( b& ~$ b; e s- C5 G5 x7 z
, Z8 ~. f& o" f1 M
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
( N9 q$ Q& q) D* f( {/ h
$ I2 v' t* v! z2 z$ E- P9 Lset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))( E9 f+ w! @% C( C3 U
;;将此次交易的记录加入到customer的trade-record-all中& e8 ~0 F% m0 u6 B: G
end
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0 {9 x. R% ?; ~* c& xto update-local-reputation
& g* Y7 ]+ g* xset [trade-record-one-len] of myself length [trade-record-one] of myself
f: a* |; ?# v- B0 y4 n0 k+ W
& D# K4 d+ }# R6 e4 g7 L0 B" W9 U
;;if [trade-record-one-len] of myself > 3
Y; O" Q. ~5 Rupdate-neighbor-total
0 |, v- l- E/ l) Y;;更新邻居节点的数目,在此进行
* j/ c F4 P) j: ^" `- K. e. h1 [let i 3! Z; ^& p- [6 I/ i7 C
let sum-time 04 w# U6 O6 l% D" f3 n
while[i < [trade-record-one-len] of myself]
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set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
: ~3 n' ^/ x! ~1 n4 Tset i5 R4 ^. {7 F( o9 q9 k3 R
( i + 1)
# d" I( X9 t: F0 O" b2 i]
$ V1 j8 _+ w: v1 P- z8 f1 zlet j 3
& o* h, M8 ]4 W, W7 v. g) plet sum-money 0( q# h6 C( m) G5 D! Y9 X
while[j < [trade-record-one-len] of myself]+ b, B: j* m! e; j; f, K6 B. \- a
[; `. j/ @& W0 Y4 F
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)
2 q9 M; n: S7 b2 ?* w3 Uset j4 g4 [" |- Y$ ~/ }
( j + 1)5 ?4 d p- O- d6 \: r% ]5 ?3 w' Y2 z! z
]: ^' ^1 o! K8 O' ^
let k 3
3 h! c8 s4 d. N2 llet power 07 K/ u. J) n2 H, k9 N/ D
let local 0
* m8 S8 u3 X! d: ]& _while [k <[trade-record-one-len] of myself]3 z. Q5 p3 b4 `( h
[ p& x# y+ u3 e+ R# F6 |
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) : ^% l! k# r. S( ~9 t7 ]
set k (k + 1)
% d3 ?; j, T, g. m. ]* ^]& r' f* ]. g. ^
set [local-reputation] of myself (local)' [. a; H2 m2 q: n9 o
end
2 h' J5 X* \, P7 ^
5 {2 A- A; G/ w- G u- Hto update-neighbor-total3 i$ u0 p) e3 X1 ^7 @2 p
8 y) s9 I, t" H9 ]" S# q& n- Kif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
: |5 @0 s4 W2 f- w3 J5 ~/ ~1 n/ ?& R' u% Y% s% Z8 B M
% i% n/ m' H2 N( Dend
+ ~* R& U& }& _& i, D8 G
/ _4 e9 I4 N2 G) r' Bto update-credibility-ijl ' }! D b* Q' ~, m! Q
$ Y2 N& ?% T5 ^- y7 T2 ?/ J;;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。- w( W7 h6 J3 }3 `- o$ Y" D3 t
let l 0* B' c) J& w3 U
while[ l < people ]
7 \7 u4 V+ S9 a) t2 z n;;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
3 j, j3 U5 m- o[& X: V, _' b7 U" `7 p
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)( I# ]5 N" T9 n0 E& Y
if (trade-record-one-j-l-len > 3). _7 g% L0 `. f$ {$ L4 N
[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
* ~" o( g/ d# {% X# Hlet i 3 W/ F$ W/ d: Q
let sum-time 01 W; {; s, y+ x6 ]$ _! i. e
while[i < trade-record-one-len] v9 y4 B- d4 X4 w) F) s- }$ X
[8 D) S5 t, e! z" E, `6 X) y7 W
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
( L; O; D% S3 b2 z+ c* sset i
; q. n! U* ?: G9 v# p6 g; F( i + 1)" ^2 W8 I- e. L, S1 G1 l
]1 \& d ?* k. z6 ]3 x9 _3 D8 e
let credibility-i-j-l 0, o! R" B; T! Q2 f$ C/ U
;;i评价(j对jl的评价)/ W3 l7 U) o2 j* A
let j 39 c6 K% ~3 T( y6 ?2 D
let k 4
( X4 v. L( T0 g( P$ V* C! Owhile[j < trade-record-one-len]
3 O, }& W; Y! \" D& s9 |[
7 ?: L2 _, A1 \& Awhile [((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- S0 s! j5 C$ ?/ F
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), J& i3 ]) Y( A
set j p: Z/ x/ B9 {3 x) L% U
( j + 1)# U% y8 y$ ?! J5 m$ q
]
/ M. `* j* }9 ?2 }0 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 ))8 W) F V( c3 ?; x
+ l* x5 E1 [0 I5 w4 {9 i/ m: b8 _9 g3 n! ?) ]1 @' h# {
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
5 @% [9 g) Y1 d& X& i( `# _;;及时更新i对l的评价质量的评价# d% L2 P& T) |+ k
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]: x* O- Q3 e, T/ ]% C( e. ]& e
set l (l + 1)' z' ~; L, n1 r
]& J C2 W7 s4 s \* j7 e3 c. n
end$ u X1 x8 `3 G
6 b7 \$ }* v. |# J
to update-credibility-list
/ t; w2 A& \( a5 k4 G/ xlet i 0
. j1 m) }" E) ?- Mwhile[i < people]$ W/ w4 h9 V8 q. r6 D2 \
[4 D+ ?6 q2 B" V, g
let j 0% ?* w1 w: c# r1 W; \
let note 0
5 B" ]6 I; a; P0 Jlet k 0
: a6 O9 v* e- W/ u;;计作出过评价的邻居节点的数目
# n: [3 p# O; @/ c5 owhile[j < people]$ n3 d* r: t+ z% L; G
[
/ F4 L0 L6 a+ q7 ~+ O5 i% Q! {# ^1 Yif (item j( [credibility] of turtle (i + 1)) != -1)
; O2 W% B. L8 d$ T% n- G6 r9 N$ I! @3 K;;判断是否给本turtle的评价质量做出过评价的节点 N7 |0 y4 s! A& s* Q
[set note (note + item j ([credibility]of turtle (i + 1)))
. X. {. e3 X, Q9 B% U) F;;*(exp (-(people - 2)))/(people - 2))]" x h& K8 h+ s8 z- n3 D9 q0 a) M
set k (k + 1)) O; f! Y; _7 f8 S+ `3 }; S% l: [
]* N' E! P3 k5 k b$ x9 k* Y6 V
set j (j + 1): o" L' M# B0 {2 L% `$ H
]
3 L+ I7 _) A p. E+ fset note (note *(exp (- (1 / k)))/ k)" g$ c2 H& n- T
set credibility-list (replace-item i credibility-list note)
! B5 e$ ^1 u; u2 z& u! Y" k1 ^2 h" Vset i (i + 1)
" l; F9 N2 B( C6 R- B- Q: v8 \]" z* ~1 _) }& G, V5 w1 b
end
- h7 [5 q' x7 K9 @: H/ q6 W
+ L/ p U1 ^3 l/ q- u) Nto update-global-reputation-list
4 B- E8 L; G' T$ L; Y" Llet j 0
2 P. L; Z) l' Z- dwhile[j < people]
4 G; }1 @% x% P& a/ h7 M[
1 E2 }; ^# @1 b5 h' Flet new 0
1 ~8 M" D+ ^6 |" q6 W, T- _0 L;;暂存新的一个全局声誉
. c( i5 E$ c7 U. r# z" x) l: H# hlet i 0
' N1 o" j( T) @ @let sum-money 05 D% l g, z, \) g! y
let credibility-money 0; x3 a) P) S, c0 R% c9 W
while [i < people]5 Z8 J4 b4 `' I9 b; Y. D9 {+ k
[4 R3 S9 `' g: w$ h
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
; T# U4 J: i# A# u+ {* n+ Dset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
+ K& s/ U; a Y. y1 `) e( `1 Qset i (i + 1)
|& |, z5 Q) {$ e]
9 p& v8 w% R* B; B1 M0 v9 v9 z) Vlet k 0
2 U$ W! u* a$ Y; nlet new1 04 Z9 x$ m0 x% m5 n
while [k < people]( F- L( Q8 u8 W. u9 f% w
[2 n; l) [" P7 [( C3 o/ M
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)
& z/ l" R' `7 V% r5 H7 o; d; }set k (k + 1)& | }3 m6 k8 m! v! ` d1 `7 M
]$ q! y/ L: n! }
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) + @, e& {* I; Q: E( Y6 `
set global-reputation-list (replace-item j global-reputation-list new)
/ M& u D& k3 Y/ Iset j (j + 1)
" ]' R+ k6 L( J]
% Q5 t5 V7 X2 w" j) jend
" ]2 K& \( a% A% A6 Y5 P3 w5 N1 m8 G. _ U* |$ }2 P
8 n; l, ?2 d2 X9 ^* v
8 e' i* ?/ z) a7 ]! G' X9 Mto get-color
: S% f* [# Z$ G# {( M1 _) ~
- b, }3 l. I* u" J- `5 aset color blue
7 E5 r/ O; o3 N0 d2 T+ T9 G& Pend
3 ^4 d8 F* t) M8 n+ m
# c" ]- l3 V- T7 U+ @7 d/ Hto poll-class& n5 P# g& U, a4 D7 @+ ?
end o* D" a" E1 X5 u
- C- X( M- _* e: H0 ~to setup-plot1
' Z4 m! H* b) Y/ |0 M* S0 F5 K& @+ K: @6 O
set-current-plot "Trends-of-Local-reputation"
6 @: {/ S2 @" @! n. V$ ~3 u+ A" B; u" ?: @& W- P* I
set-plot-x-range 0 xmax+ j& x; v5 o5 V& O
! t. b) c* s+ y# {' h( y* `# uset-plot-y-range 0.0 ymax: ]3 y# y" X8 m
end4 D( C* s5 x6 a+ ~& v
" B+ n! E4 g9 Tto setup-plot2
v U7 X+ ~' t R5 u
4 b5 g( Y/ ]4 F8 L) Tset-current-plot "Trends-of-global-reputation"5 D) D4 i7 K3 K9 f1 j0 O9 j
9 U1 o! m$ w& T8 q6 X
set-plot-x-range 0 xmax. h. K. V! d9 e8 _/ @
/ J) j/ ]8 Z% P Z! n; F% x
set-plot-y-range 0.0 ymax
0 [- Z; t1 _( T. X$ ~7 H; b- h* Q- Uend
: K: K k& S' T% x
! P: U+ E5 o( U5 O _+ Nto setup-plot39 a1 p$ C1 U4 T
) P- K% z' z E: Y& P
set-current-plot "Trends-of-credibility"
9 n7 F0 @8 b+ K4 h# Y3 _
8 f9 U% A7 D+ L j' q* Q& ]set-plot-x-range 0 xmax1 F. i7 B; R. e
/ q6 j) J. x: o8 k4 |( ]7 e
set-plot-y-range 0.0 ymax6 A& U( t) z, v
end! }1 n1 g" Y! x& B! ?" X4 ^
' P, a0 ]; V. d" s( w) p$ X0 Gto do-plots
/ r% i* j% t3 S0 H }! L+ l. m; Uset-current-plot "Trends-of-Local-reputation"* c/ p0 ^ s: i
set-current-plot-pen "Honest service"
' u. T: j( j& Y0 p" xend9 v' ?$ v: F w" R& h$ t3 A
3 M e/ }, d0 F$ R$ V[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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