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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+ k% U Y& Z0 C9 F. C W3 L
globals[
& e8 w( {6 }6 v: O0 d N9 G* N5 _' Kxmax
+ A2 O- I4 p2 E& Vymax
0 X, N3 Q$ L. H7 N! J: [global-reputation-list/ E% f# k. I0 |1 K w# j/ E
* D" H0 w8 a8 D0 D/ M
;;每一个turtle的全局声誉都存在此LIST中3 Z! m" Y1 ?. o6 _
credibility-list8 }" m$ Z) Q/ T4 c6 U& P
;;每一个turtle的评价可信度
; [( O. n, O2 f- ?/ ]honest-service
2 l$ |# }- N J1 ?unhonest-service/ l9 B6 | q- f/ m$ x: R& x" V$ K
oscillation: x5 ] p! s a. U9 C
rand-dynamic
/ s& A% }2 a8 E c* U% h]1 h9 b! Y& s! r
/ p' s2 u& s- e) r
turtles-own[7 k: |' H; q! y8 K5 u
trade-record-all9 c, a1 g" S: k1 k( X
;;a list of lists,由trade-record-one组成
# a1 O. ^: Q& Q. k/ ^1 ytrade-record-one
0 l3 _. H8 ~3 U, U5 v* 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
" x! F1 Y! h+ N! H4 R3 X& k
+ s* X8 y: L2 b& t% W$ B& @;;[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]]+ e/ I/ M3 J! r+ a
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]
8 H5 K( U, I1 K0 K4 \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; J- H* G; ~2 c3 P( F/ }# @
neighbor-total5 Q5 F/ Z2 v. N8 a* b3 c5 n
;;记录该turtle的邻居节点的数目# h8 s3 `, h( T" W8 Y
trade-time
8 V$ G; s; H+ ]9 A" w- M;;当前发生交易的turtle的交易时间
0 U" ?6 B4 l; D& L+ sappraise-give
; X" g' l) F1 b4 [9 c' X9 g;;当前发生交易时给出的评价
7 {0 c f" E( H9 p, N9 H. Rappraise-receive
* P7 H8 Z4 d/ x3 E3 _1 e0 i;;当前发生交易时收到的评价1 V9 p. F( \0 g8 I3 A l* q; W. I! j9 i0 O
appraise-time
6 {2 T' v; w0 d;;当前发生交易时的评价时间! J! g+ _$ u. @) M$ [7 U; L( A
local-reputation-now;;此次交易后相对于对方turtle的局部声誉
, }$ [0 ~$ ?: n- y- g# M7 ttrade-times-total
2 X0 Y- I3 z* |4 f, Z4 s: x; W;;与当前turtle的交易总次数' P- U M" T6 Z) S- w" e
trade-money-total
3 X, n8 x' r1 Y, i! [;;与当前turtle的交易总金额; h6 y9 {$ d( ^0 S; ]
local-reputation
* W; W' X4 D8 I9 ^global-reputation# o( r% Q" h( F: s7 d/ q% `( k0 _
credibility
1 T q6 `& i h% r/ d) Z; Z, M# Z" M! `;;评价可信度,每次交易后都需要更新; }5 R) h) |+ M$ q0 @4 Y
credibility-all, {! r* H2 }& f7 h
;;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8 m1 w+ R( x+ I8 j3 u* f" d. b6 _
- |3 }5 G. w9 m
;;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& G, a5 V2 g, N) b$ S/ n; _
credibility-one; w, c2 n! l- ~; G& ^* ^' m
;;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" t# p5 g0 r8 V- J! ~8 y3 }
global-proportion
% z) J7 k, @9 O0 `; e8 `& Icustomer
8 O0 _9 B9 u% ~6 f, k8 xcustomer-no+ S8 x% f6 I" p7 y
trust-ok
7 i+ a. o l& X% `trade-record-one-len;;trade-record-one的长度
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) g3 r7 R7 x% ^3 k$ y* q
;;setup procedure
5 N6 D) m8 h" o4 @) u. @6 V- o- D: o' H6 j- Q0 t$ d# L
to setup$ Y I0 z/ d: y) l3 n. D# U
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initialize-settings; l7 `! p, V X, L: p7 C1 S' _: V
# \$ h, g+ q/ l( J; i5 Dcrt people [setup-turtles]; m* @* E# d5 L3 V4 m! j8 S( F. w) X
! a; d! @+ X! l6 t3 ?; F freset-timer; M* a% ^' j1 K' B0 v& L9 m! J
, c U) u% F) K+ tpoll-class
- h1 r! m3 w. s7 G* @- t! [
" d1 F) I; W' `4 Q" I2 Asetup-plots1 Z# t0 \9 L$ o9 o9 t- m, t
& w; i6 r! {- R8 G9 Edo-plots) K' Y; G( k4 E- l' O" ?
end% C5 P0 h+ x9 t1 J$ K/ h
5 x, _. {2 [- U6 D4 ^3 pto initialize-settings
; `! `$ @ K9 G) b
1 W) h* A0 x* h7 A' sset global-reputation-list []
5 Z' F$ R) M; W; A
7 M$ |% i' z1 C& B7 i# Vset credibility-list n-values people [0.5]
: C/ z/ V: b* I7 R) H# N; f t: _/ `6 R
set honest-service 0
& P9 D p7 ?/ S- i' f
2 f/ L: ?7 y# G- {, v B G$ Bset unhonest-service 06 Q6 T6 b) o$ E1 D! p5 Q
3 ], K4 Z* W5 A* h0 ` ]
set oscillation 0
$ K7 [) J M2 J2 R0 b+ L
' H& ]5 L) e+ O& m1 y8 ^8 F1 a: [# O1 ]set rand-dynamic 0
) q6 g7 g% V# Pend+ k! g' X8 k0 ^5 d4 B$ k/ b
9 h! N2 T c& s! j
to setup-turtles 6 c V* d1 {8 J
set shape "person") H1 b Q: _* I! Y: t
setxy random-xcor random-ycor( d2 Q5 F5 f2 \# ?7 [) v5 ~4 g
set trade-record-one []* ^" u ~( ?$ }( F% ^/ i p
$ E* ^& l" Q* T! V& ]set trade-record-all n-values people [(list (? + 1) 0 0)]
- `. e& v7 K# s. C: L! S5 q
! H E2 y# F* t/ l, b$ gset trade-record-current []$ J4 E3 f: x% a; S" d
set credibility-receive []
5 i0 r& A& _+ g6 ~' z* @4 iset local-reputation 0.50 w7 T- S: {$ s+ e, t+ j
set neighbor-total 00 a: D0 {8 {% ]! r/ ~" u* k
set trade-times-total 0) e q4 b# D" r; t& Y4 G
set trade-money-total 0
: o7 x [; _0 i3 S( Rset customer nobody
7 l" m, D! A, Tset credibility-all n-values people [creat-credibility]
9 O% K2 A: f7 }/ J# @set credibility n-values people [-1]
4 R5 g7 T( Z* |) |) t C5 oget-color
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end
! v- ^$ j% ?' m8 ?+ g5 ~. r+ f/ r; \, V; q' H5 ?3 s; W
to-report creat-credibility
6 _& m* y. X, t/ ?; C. `report n-values people [0.5]
& b( H) a i& L+ n( Uend
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to setup-plots
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. i5 q6 J* d' r; ~set xmax 30
+ s( P0 Y5 w( J2 ^ n
! l2 j/ n" x1 m" B& c( iset ymax 1.0
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clear-all-plots- A' \0 Q6 B6 e6 f% A- `# U
6 [7 Z- P( q6 y9 Y8 i* Asetup-plot16 f# P( e/ F- K- F0 H2 S" S# A- n
: R9 o+ ^. X6 B0 _- V
setup-plot26 Q6 a; O2 W1 Q* X: M4 t$ R. @2 A3 e
$ k& J/ ~- K- k. G1 Ysetup-plot3* l# r3 f% H/ |% G* D
end
, i8 K! x) h3 |* I2 H& A5 |
, E" w. z4 B' d4 x3 D;;run time procedures
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to go
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ask turtles [do-business]" c5 V* ~- ]6 R+ o
end) Q: L9 T( F2 R; y
5 A$ Q, d4 ]' ?" @
to do-business / b. h; ] m Z- c" r4 ^
% k! n4 H+ }9 D1 q2 n1 z+ {: q
5 @ ^7 W5 G& H: e
rt random 360( g' X1 h5 d! l
$ y, j* N _$ }fd 19 N3 Y8 k; U: g# w. J" b1 w
) V* A. h" M1 X+ B/ Mifelse(other turtles-here != nobody)[' n( g# e$ s. _8 U6 n
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set customer one-of other turtles-here$ B! u F0 [. _1 T0 S) ?6 \7 T
3 s& N7 X0 h/ Z
;; set [customer] of customer myself! Q' y- o- U$ K
: h& }2 i1 [, a# b9 \set [trade-record-one] of self item (([who] of customer) - 1)' W) U6 S6 j- ^& U2 _
[trade-record-all]of self Q' D7 p* F; G
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
: o* L+ r, j- N9 Z# s- _
1 F6 j+ p% ?+ Oset [trade-record-one] of customer item (([who] of self) - 1)
8 F! j1 Q$ k# `# e- x, Z+ u* R[trade-record-all]of customer0 i! |: `6 y8 M3 ]" C! \# E; M
; u) H& d4 E* c) b$ Z. ~( Cset [trade-record-one-len] of self length [trade-record-one] of self
4 V9 w6 t/ I2 R( t& W$ K
, z+ z5 Y6 a, c4 V9 ?- r! zset trade-record-current( list (timer) (random money-upper-limit))
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ask self [do-trust]
( l; X9 ]- _' U u) ~* _;;先求i对j的信任度3 ?6 B& L8 p% y! D3 L
; E( U: f3 s) {0 z! P- B: k" V3 Sif ([trust-ok] of self)
. W; ?" M, c& j7 B) ]3 ]7 `2 Z;;根据i对j的信任度来决定是否与j进行交易[# E B- z2 \7 ?, @
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself( _( q4 z& [" K' i- ?
+ G+ q0 o9 R; ~- [[1 I8 m S: K: Z2 i Z
3 M( G5 X( e$ B5 o$ R$ sdo-trade
! l3 q. _7 T1 t% h) l" k9 V' k/ c" g( Z1 R0 F# L" ]
update-credibility-ijl
$ b d* z& K) E/ k
; A& c& q! _2 s. J, m0 Pupdate-credibility-list4 P' k5 [: A! @. v$ L4 I J
& ]$ N5 i! ^8 o. z! X) P& c9 _, f5 ^6 j- L) i
update-global-reputation-list
y e! A6 Q( H6 r3 _- w+ o4 `0 i8 w" k( v- {. Q# o
poll-class* g! H- t) L; [% k( K" N
4 t7 _& [( }5 ?! C/ T" O8 R
get-color
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]]
7 _, I: ~. G# m; L; i8 H1 C9 s$ D# v8 L: v j6 Q$ E2 F
;;如果所得的信任度满足条件,则进行交易0 d6 C5 o2 V5 I
, z3 a2 \5 K9 `8 C( l, ], f- R* @
[4 n# m; K Q2 ~! P* i
4 H" F5 d. Z5 M/ R, {% A0 ^4 ?0 B. U
rt random 360 q. R2 s) U7 x, C% I
- K! Q" _7 a q, M; j
fd 1% t$ |8 v1 W$ q- [( N2 W& x5 n
+ t1 Z$ f8 h6 I9 X* N3 c
]8 |1 r8 A: @0 L% X. }
) G# V9 w% t& w: Z9 L) t
end
9 _: d H7 v8 Y: W' @) l& |; I2 s' q/ \. T. I
to do-trust ( o" F0 Z0 _9 p
set trust-ok False
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let max-trade-times 0
, W/ K6 C, q9 E$ o. ~6 Zforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]4 p, u8 p9 ]/ y8 |: P
let max-trade-money 0; h: n* ^! T) F3 Y/ ]2 f
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]] _- K" G" X; T; F5 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))
0 x( d$ R4 X) N
8 N- G6 A& J9 H3 T6 Q) h" Q. _' F% a2 e
get-global-proportion
( n& f4 T: [6 C7 w% C3 _# Jlet trust-value9 ~' p( K0 @6 d$ T9 ~: h
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)9 f" P2 h) _; u d; q* K
if(trust-value > trade-trust-value)
" d6 }% d N/ Z- k0 `6 H( k; P0 q- K[set trust-ok true]5 W( P. k2 Y# }5 ~
end) V8 F/ O5 [ Z+ p0 b g
: j; O. o8 C; \ q Gto get-global-proportion
+ ?. Z% Y% ]& q' E& ]! `$ T+ Kifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
/ R4 t( l v) l[set global-proportion 0]9 k' \3 l! d4 u1 `$ I
[let i 0
' X+ h6 t* L2 r% }) Ulet sum-money 0
1 b d `! K z; fwhile[ i < people]
; N6 ~) e: b6 `2 }5 E, A[
. W7 p. e8 Y& w! Z; j9 J3 |8 R+ G% pif( length (item i% U4 Z# U* [- i0 W+ ?, c
[trade-record-all] of customer) > 3 )
2 L' `" f& J9 @* }" q. \[: z( x4 E+ ?4 `4 w. | o
set sum-money (sum-money + item 2(item i [trade-record-all] of myself)): q; C+ \% {/ H
]
8 z( j# F) J3 z `]6 s4 t$ c, g q6 \
let j 0
- v6 ?# S( W+ j6 }: E- Qlet note 0
- u2 b# ^% o$ C5 |( k5 Jwhile[ j < people]4 l1 f! X9 s3 l. Y2 s
[0 P+ n, o1 \) B5 H, \
if( length (item i
* t. _8 W5 d: a( V" e% \) j+ {) o[trade-record-all] of customer) > 3 )4 d5 y0 d& @( c
[4 o8 P8 `9 ^0 P
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
5 G! G; I6 k' U- l% ^1 c[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]( P6 ^3 q7 _9 l( ^6 n
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
) ~! s1 B& U/ }" u' v' I( |" {]
- n/ [; F% c& P]' s& K e" A% z' v6 _
set global-proportion note; k, J; e5 Q' S; v$ h5 i7 x0 G
]+ m6 K9 Z+ u) f/ \5 U; j; h. h- a
end7 x8 ?6 O* F4 _5 b$ w+ N4 O
$ f9 z& `, R2 v @9 F# dto do-trade
2 Q1 D: @: F. ]: m1 X: Q6 l;;这个过程实际上是给双方作出评价的过程
9 D& `3 u- z0 L* yset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价1 H- g/ @) x: ~) b# A
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价7 f2 z. J* {6 Q& }, ^9 }: B
set trade-record-current lput(timer) trade-record-current: f8 b% {# v4 v
;;评价时间5 ~9 q7 d+ h2 A- S* @
ask myself [
5 O3 W, P1 \1 g1 q' H: f$ yupdate-local-reputation
; O. ~* K: @/ V+ ]set trade-record-current lput([local-reputation] of myself) trade-record-current
% m( j2 \! e% y b]4 P7 B+ m3 P. m- ^( k- Z3 K. K1 C
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself* }. t2 D' v0 e
;;将此次交易的记录加入到trade-record-one中
- g* H0 k8 R7 |2 K( Cset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself) L7 B* } {& @; z
let note (item 2 trade-record-current )
' d+ c6 h) {. X$ {; `- X; t Xset trade-record-current
- P# U0 @, G4 a(replace-item 2 trade-record-current (item 3 trade-record-current))2 \/ Q% ^; I4 ~/ e5 f
set trade-record-current, s( ?, t" J6 N$ U6 p
(replace-item 3 trade-record-current note)
3 Q- H- A+ @' Q. s4 k
0 r) |3 b8 L7 K u% u! e! n3 I6 C3 n3 \8 P# L
ask customer [( F" s, n9 W. k
update-local-reputation/ {2 o) y# e5 i4 i% I
set trade-record-current
) {* [2 Z$ p' C9 v Y0 n9 \(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
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8 S, Q) ]( E( c/ W* A
* p$ V6 S* c) @/ Qset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
# Z2 F3 r) [5 Q( e* S3 \, M
/ L6 `2 c* K& d# o' D+ K% O, Dset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))0 l2 X. B3 I" n
;;将此次交易的记录加入到customer的trade-record-all中9 x* V2 H7 u5 `* r0 _1 T0 n
end
* \/ q ^) S4 G1 s
9 h h1 `- E* V7 Y" G) Nto update-local-reputation
@0 ?% N' X0 h% R) j3 Oset [trade-record-one-len] of myself length [trade-record-one] of myself
/ z1 c6 f( \ t. f* W3 O$ t+ O3 _
( E; }4 ]! |# L: c8 l
;;if [trade-record-one-len] of myself > 3 6 F9 r, [2 s' D
update-neighbor-total
/ e0 H$ B' ]0 v7 G! L;;更新邻居节点的数目,在此进行
1 ?( p6 D( Z; Dlet i 3
; u/ g: a4 H( q: Glet sum-time 0) Y8 n7 ` g' r+ M& I/ a! a5 x2 r% y
while[i < [trade-record-one-len] of myself]
3 \/ |7 u7 W$ Y9 ?" m0 b[; [- s( M5 J* H: I/ K
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
0 s- m9 c" d1 I: ~' Y, Pset i; G# L* z, D8 N8 \% ^* ~2 {% ]
( i + 1)
/ |+ v b5 K( S. h! S; b) o]* H: u, ~/ W) \8 J
let j 3# Y9 t% P( k5 x4 \9 F7 i
let sum-money 0% b9 q0 O# H) ]5 n1 e9 V
while[j < [trade-record-one-len] of myself]
9 p6 a* O6 }% e4 }/ \[
6 q2 M2 j2 e1 X/ ^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)& q9 g/ B- v+ ?0 Y7 e/ W
set j
* J5 F) C) t" \( j + 1)
) a" i* u3 [; U, K# p]- ?' h. P& [9 @" y6 d
let k 3
4 A. R5 j: u& ]7 B+ R s/ h2 vlet power 08 w1 J l f2 M6 Q5 d0 }* X
let local 0
8 ^) R! J" a* gwhile [k <[trade-record-one-len] of myself]* S: ~( ]+ y; C+ Z" u
[/ v9 Z. b: t0 w u& `$ U b, I
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) + Q# `- r* ^9 m' V0 D) a' g) P' X
set k (k + 1)* X- C X3 y7 j
]6 A4 G) e$ d. o! L8 W
set [local-reputation] of myself (local) `6 y) `3 s* h8 p5 g, L' e, h" A
end
( c2 N9 Y1 F; F: s- r. s. c* P
& m: U' v# T4 Y6 W/ G* m" qto update-neighbor-total4 ]4 B U! j6 u. O/ n. l
3 g9 @6 w1 Q$ a0 q# i( Eif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]$ f3 T6 k8 e' T
|6 e9 J, i# a& S" F J& ?
6 i8 M) o& n! k8 Hend
+ i$ g" q+ x0 A* b5 @
4 @# G2 f$ l0 h# z6 ato update-credibility-ijl ! ^( R' h1 H; {+ f3 l7 m" U# {2 n
6 W) D4 ?- e N3 z+ M;;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。
1 `2 p4 F* y! t% k; C; x, Ulet l 05 j4 }5 L9 ]1 Q- h- v& R
while[ l < people ]" p g6 X) Q' 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
. C1 A" t$ e2 V! B: Q[
) R6 F. ]9 o$ n( b/ e' P4 {2 `let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
! l) n8 k( B) W4 n6 q% J I. }if (trade-record-one-j-l-len > 3)
' N/ U8 D% Z2 z- a& k[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-one5 ~8 d! O3 j( v: G' B% |1 {; `2 |3 z
let i 3
# V0 q) x: u! B4 A5 j+ b7 h9 ~/ ulet sum-time 0
) d5 C; w/ }2 Bwhile[i < trade-record-one-len]# `! x5 H/ B: _
[
: B! M( C# @3 }! z2 iset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )# O! q# ~7 ]3 n$ f8 @# S/ f6 y) G6 H
set i3 r, r* W4 a4 w* I
( i + 1)& U9 M8 @) `: L6 z
]8 u0 M( ~ f) l) n: O) J0 s
let credibility-i-j-l 0
0 y( J9 f4 E& L* K;;i评价(j对jl的评价)
& w: V, G% B( C2 O! y: ylet j 3
+ {7 W+ m& v! O( @3 jlet k 4
7 I7 g) M( [ u/ w2 w* U5 kwhile[j < trade-record-one-len]
, h+ k4 @: H+ P" {( `$ \. e# `9 [+ a2 t[
l% D& J, W6 T( O, a; Y9 xwhile [((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
, H# t1 T5 C! I$ Wset 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): n" O2 F& z! r8 X% h; F; D) Z+ A
set j" r2 F3 s$ t5 Q% ]
( j + 1)
/ [7 V l. E' y$ y) ?]5 d3 c" Z) W: @ g) l- e
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 ))
6 V+ Q3 @# l( G8 K9 _& {% r
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0 h( B5 P7 J: o# A1 Llet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))# N. x' J/ O! A6 G# ~
;;及时更新i对l的评价质量的评价5 y w+ _% m* J: b
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
4 C0 l4 d9 k o: jset l (l + 1)
+ i' g# E. d2 j! y! p K0 D]! {7 C! x4 q" \7 A
end" v: d1 ~/ Q1 a5 D( d
3 p: j2 B/ Z% T" Mto update-credibility-list" A9 s6 }- U9 k4 [7 A/ K8 {9 {
let i 0
# S* c& A3 u' ?+ ~" l8 Y) { Wwhile[i < people]
; d9 x7 V" Q0 B3 R0 m) N[; s) F( x4 W0 t- c6 M4 t9 P3 a d+ R
let j 0/ b3 W2 w' P3 C9 l
let note 0
" p# a( @* w5 z6 ]9 m7 e$ R- hlet k 00 |& D6 |1 l- `4 W& j
;;计作出过评价的邻居节点的数目- H6 T$ ^& g" C2 X" y) z. r: a
while[j < people]
$ E3 l* U1 E# u9 l# h: {1 V. O[$ W6 Q; d/ K$ U, z) U
if (item j( [credibility] of turtle (i + 1)) != -1)! a$ u/ t+ @3 z3 x, q- Q$ q
;;判断是否给本turtle的评价质量做出过评价的节点1 R3 X! H3 H) T6 j1 r4 o. O
[set note (note + item j ([credibility]of turtle (i + 1)))! M$ M' r6 u. v7 @$ }4 z( w7 `
;;*(exp (-(people - 2)))/(people - 2))]
+ z2 v3 n6 N4 L* N- M( K1 g& C+ qset k (k + 1)
# |9 J' u0 v5 q]
2 b; n) S' K E# |: e/ Zset j (j + 1)
0 I/ W e8 W$ Z2 |7 [], t3 I/ W E5 Q( M- W' z8 o: _
set note (note *(exp (- (1 / k)))/ k)& `! M9 x v- N' F
set credibility-list (replace-item i credibility-list note)
5 w3 I- [- J/ m& Vset i (i + 1)' [& L& m1 S9 d1 w0 {2 G/ o
]
/ _5 E. E; R0 A) C, Q4 Zend% T0 W3 U# J* d+ c7 T6 s9 K
; b+ D, f2 m, D4 M0 J! O
to update-global-reputation-list" ~( o. J; D% @( u
let j 0- y* P1 ]( e0 {* K5 @9 u3 ^; ^
while[j < people]5 ]3 @: l% N( E0 ~1 r
[, d) j* M" h& s! i K9 `
let new 0
+ c U7 B. l4 g& u;;暂存新的一个全局声誉& {+ l8 E- |+ h8 ~, t1 ^; d- U2 o8 _
let i 0
3 B" F9 n% P3 g! x' Mlet sum-money 0
9 F# c* _5 @3 X8 ulet credibility-money 0* ~ Y' d8 T1 ], c) u4 n( Z: `
while [i < people]1 q5 W2 S* z& `3 u
[
$ b3 |4 ?) G) N9 Z* H' F0 E7 \set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))2 m2 l3 b! C- {0 b
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))2 i$ \( T" I, E; P- a) |
set i (i + 1)9 V& V. F1 f: [! _
]
* k* {: R% O8 V' a7 _let k 0
C! W, k! k$ @& f7 G% ulet new1 0
) o* q5 k2 m S" Vwhile [k < people]6 p3 U, I) M) z$ `0 d9 t7 F
[, O0 z7 x' P& x9 L3 T6 N" P
set new1 (new1 + (item k credibility-list)* item 2(item k [trade-record-all] of turtle (j + 1))* (item 5 (last (item k [trade-record-all] of turtle(j + 1)))) / credibility-money)
/ X$ \7 k, s& g) Z) C | zset k (k + 1)
7 c/ y4 j3 O- L& q4 E$ a! W]
: U& ^9 e: q% ]( G2 c' dset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
6 n! A! t; t& D, K: A( ]set global-reputation-list (replace-item j global-reputation-list new)+ m( V6 @" I# j" H3 B _
set j (j + 1)
* c& a- k$ @) V7 T9 P7 v]
1 z! @! @' ~9 rend
( N+ a/ q) r/ O2 |( j$ D5 |; g1 w" j6 y3 S: J, p" k- S
5 N* U. b+ \) q6 o, A7 [: O8 n* \# a
to get-color
$ }5 Z- t! B3 d) t! S. M+ Z; l6 D. F$ L+ s, l2 E
set color blue
" H6 B/ C+ y! l6 B1 E. Nend6 i: |9 U/ `3 J) y1 p- v
6 T) B8 Q1 M6 I$ d2 q
to poll-class
+ R) s: D: t' y5 G$ N8 |! qend2 E$ a3 ], R. b3 _
* e, c5 F# N! E; s7 c/ @
to setup-plot1
; h5 j! ^8 \1 U+ {3 k, G3 U2 H# K/ s, [1 g" H6 P- P' u0 h; e# U# P: g
set-current-plot "Trends-of-Local-reputation"! R6 O5 ~) Z) y& \: Y5 F% x% j
! D+ e# Y- M! f$ _& h
set-plot-x-range 0 xmax
% v; Z1 N. _0 }. R
; v$ o. l* V: u: T- X9 R8 Bset-plot-y-range 0.0 ymax
! V/ J% ~1 \: M- d4 N, o& S- fend* e7 [5 f3 r! q6 c! }& T
" _" `' H5 J% L8 f
to setup-plot2
1 n& w4 m0 A2 T# X& i/ \& l$ T
" p8 V5 `+ H' K, s0 V0 M, N5 s5 Oset-current-plot "Trends-of-global-reputation"
# Z# s6 s+ J8 m6 u3 @% N. b0 \8 G( I
set-plot-x-range 0 xmax. C) W4 b" n; }9 K% k2 t- }
# w$ A8 C) k% V) p8 H$ s3 r
set-plot-y-range 0.0 ymax
7 d$ d y* g2 I: B* G( Mend
; t) X. }: ]% q& W: f, H! J
3 V4 c- q8 Q) F' ?' Rto setup-plot33 y! N, b5 v1 l" Y1 x8 ?
! _, f" b* O; w1 Bset-current-plot "Trends-of-credibility"
]2 [5 b1 x) z& N0 |
F: q; g* V+ d7 J) Sset-plot-x-range 0 xmax
3 w% w/ F* [8 o3 P7 k2 d$ J* d# x) E& _6 u
set-plot-y-range 0.0 ymax3 h+ q8 S& v' N) P" a
end
3 |& h# D }: L" {) u# c/ }# n, q5 C, ]# P2 n N* D
to do-plots
/ ~& }" n& A% wset-current-plot "Trends-of-Local-reputation"' }! |( C' h3 ]) w' X# Y. h+ C8 V# v
set-current-plot-pen "Honest service"
5 C7 v& @9 v3 h2 f6 d) T* xend2 V A/ ]2 a% v- @/ [) i( d
% e8 ]5 _# f! y; G) {- \[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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