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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1 S% Z8 V" h: B; i
globals[$ E6 k9 M9 N3 V2 J
xmax ]" S1 R$ k% i) R6 p
ymax! P! W5 g3 {; E5 u* u" j- H
global-reputation-list
; _- V8 h" l8 R0 _) @+ B
% @2 X8 a: L8 Q;;每一个turtle的全局声誉都存在此LIST中
: S4 T& O8 ?0 g Q: }, g% vcredibility-list
. @1 f8 r( m3 Q- H;;每一个turtle的评价可信度% T$ k8 L( ?8 d' N; h# N
honest-service; m9 G! o3 Q* ?
unhonest-service
$ W ^2 u5 E) q5 w" A+ R0 O- }oscillation! E; `; [5 i1 O- }' P( h
rand-dynamic
, c0 b' J, Z6 N2 ?, @3 w% J9 _]1 H) P: }. J5 Q* @
L T9 O% [0 ?. q. M
turtles-own[/ M- f3 i3 r5 K4 L% ~- p
trade-record-all
" o& O4 R5 t& G# E1 @;;a list of lists,由trade-record-one组成- U7 h+ V0 V1 z+ ]( c$ L9 o
trade-record-one6 t; }) ^' e* ^9 S/ j: I2 a
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录+ r/ V4 f: q$ X) ^2 _5 Z$ z C
8 [* k6 k! ~/ P0 o A1 }9 o7 C; 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]]
6 A. L4 I3 |; b, O" @+ I8 Utrade-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]* r" `& V# j, f# j# x2 {. c
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
3 y o( A) a0 W$ s4 V, r# S7 tneighbor-total& B1 c3 ^- {( D8 w [! K) B
;;记录该turtle的邻居节点的数目! A+ R7 m, x2 [/ v
trade-time/ o6 H3 X& T- Z u& j
;;当前发生交易的turtle的交易时间% n$ r! w( h% Y
appraise-give
) A/ s; C' I6 k;;当前发生交易时给出的评价
) Z e" L) ?8 Q# j) E/ c$ `8 N8 a2 [" lappraise-receive3 |# h; o# z: U; |5 k
;;当前发生交易时收到的评价
1 W+ w$ A& Z% c4 J! d! ]( T% Gappraise-time
1 {5 a9 v4 d q7 j1 C: z% k;;当前发生交易时的评价时间
6 i" g$ r) a8 V8 z/ o4 ^3 nlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
, C* j& y" _* i* Ftrade-times-total* v3 |; }5 l7 T3 B6 ~$ e5 o
;;与当前turtle的交易总次数8 L+ ~; i1 y' W) Y- r4 s% l
trade-money-total
% q0 N6 n1 J! v/ K$ N2 G/ P;;与当前turtle的交易总金额( h9 A' B8 W& w8 |/ i$ Y% X
local-reputation& o' @0 s% c) V& a/ i i
global-reputation
: R& W* `) p a4 H. k# Fcredibility0 q" c2 U2 \) {! Y- E. t w+ y* k
;;评价可信度,每次交易后都需要更新0 e6 N6 \' ]* S( p% h# O
credibility-all
/ P2 \4 \4 G$ j5 E7 z8 l;;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" t, r7 _3 ^8 ^8 q4 R& r# o+ n
+ o0 s1 M/ j( Z% 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0.5
J8 b# m. ?6 Vcredibility-one
9 {5 w% s$ q/ y r" b5 ~$ j! p, X, _;;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/ y1 f+ R5 e$ S' O
global-proportion+ t) E. l3 a( n0 ]
customer- ^, W* r* X k2 Z( D! ]' i
customer-no( l# T& B/ R* |# b& ?8 V+ h8 ?
trust-ok1 S2 r! \. `5 L$ B J
trade-record-one-len;;trade-record-one的长度
8 N. u" ^7 b+ s3 F* P]7 X% N( U- o" a4 \- |, y# a+ C
: D5 G2 N8 k5 R8 T1 c;;setup procedure, `/ Z4 t+ g! C5 b
8 g: `* ~8 _& p4 J2 K2 Z
to setup
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5 v- P/ ~0 W6 g* y7 xca
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initialize-settings
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2 r1 R# w5 Y' T4 i. y7 fcrt people [setup-turtles]
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# R: N0 S2 D5 {: h/ {6 vreset-timer
) Q0 ]1 b0 x4 C
$ V4 U$ f, F# ^8 N- _ ppoll-class/ W$ {6 m. N l( ^. F4 B7 r. S% Z
1 c) ^8 w2 P( @2 w; T
setup-plots( x9 ]! L9 ^0 k# m8 N
/ @! O/ r! }2 ?% }3 ?6 B/ G! {3 ^" Xdo-plots
, B X# K7 s" zend
% e/ m7 p: u$ l
5 T8 [* q! \" J! x. yto initialize-settings7 B; R" S1 s& A" d( ^- e( o
) `) r0 t" I' T$ i* V" b' yset global-reputation-list []
# a B, T R$ b2 p6 L8 {! o- a% m+ K5 Q k
set credibility-list n-values people [0.5]
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set honest-service 0, l0 X) t: h6 N0 a( \
* K3 ]1 m7 d3 U3 Gset unhonest-service 03 r) a) m% }0 ~" A% p
- X0 h1 V2 l) a4 i1 u/ q! f
set oscillation 0/ I( Q9 \7 a' [4 ?- f
5 G3 f' ]. s3 X3 }set rand-dynamic 0- F4 k" n y0 f
end
( ` H: h- N) j$ p( F
7 r, c. S4 ^- s: H+ c0 j+ E. ito setup-turtles
i6 ?7 c# j, a- O! s- F. lset shape "person"
4 M' S) e4 o1 I5 p* Usetxy random-xcor random-ycor
4 |. }4 d- I! ^ f+ P# Vset trade-record-one []
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set trade-record-all n-values people [(list (? + 1) 0 0)]
2 N; x& Z2 U8 H4 O
0 `* D- c4 Q4 {# j, j" k" d% mset trade-record-current []" C. I* F# ]* z
set credibility-receive []
1 z: _4 L; \0 R# fset local-reputation 0.52 Y( Y w, D2 d: O
set neighbor-total 0
+ S) T( W8 u9 K3 n' T' fset trade-times-total 00 }- s/ J) d$ m0 ~
set trade-money-total 07 T4 ?; m0 X R5 V. z; Z: h
set customer nobody
9 j( K W2 j7 \set credibility-all n-values people [creat-credibility]# P, f6 x5 Q( p1 U
set credibility n-values people [-1]
4 v" X1 ~1 c2 N$ K! F8 _get-color7 q7 m% v) H3 m: T% J, Y9 b
* r9 D3 q* G9 _* d/ fend1 w9 _+ c1 ^/ D% ?( k1 `: H
2 ^1 I, x5 N( v$ k+ \to-report creat-credibility8 I- D& v4 }( e6 |" b
report n-values people [0.5]
* Q# O" | X4 z+ H$ N7 f+ Kend0 ^0 M! \7 R$ r& e0 r5 |& o
' ]( a5 d) Y$ R, `; n, o: X
to setup-plots
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% t) R4 w' P& G' ^$ h4 U% lset xmax 30
/ \2 t9 f; h! i9 `/ O! T% ~4 K0 J% `% e. q
set ymax 1.0
" b* f& T3 Q% v, a% v, x* Y( \8 i% r; _
clear-all-plots
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8 S4 c0 G2 a! }: Psetup-plot18 m9 c+ `" s7 J- C* v8 d- O# H" D4 x
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setup-plot2
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2 M. s) ^& h. g! A3 }6 [4 q) msetup-plot3
3 Y' m. i7 X# D6 X7 `2 t0 Y' ~& Oend
$ B8 U& ?/ I) O' e" {% O, _1 l
! t7 g& C# m4 ^/ g, _% n) o/ [;;run time procedures$ [6 p) Y2 R' w' c! j$ ~1 b) e) P2 | U
) e) [& V' {, _$ O3 y$ |3 dto go$ z7 m2 r5 `: y
% d( U' @- ~/ w: h: l; n$ r" C
ask turtles [do-business]9 n! v! H, r7 Q" \& y
end2 w4 ?( Y+ V$ o! y8 A
3 ~" b2 B+ G6 N: X- K6 ~2 d, Z; dto do-business $ E" Y- L3 d: S" Y9 ^7 e2 v
# z# c3 r9 g& N+ ]6 D
3 P) }' f! d( d+ d7 A$ |8 T4 Hrt random 360
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, A' ~! j5 c' @# d& Zfd 1
" i! ]4 t' U+ B5 ?
- P4 h4 P {3 K: y& {8 Q& p& eifelse(other turtles-here != nobody)[% R: D; Y9 C- ], F4 B) v) A8 m
# g" F7 K* H" {$ e# e+ ~) Q2 C+ Eset customer one-of other turtles-here- r0 v0 O( y! S. M) ]
* q) P: O4 ]& c x
;; set [customer] of customer myself
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set [trade-record-one] of self item (([who] of customer) - 1)& v% t$ T7 }7 b" y1 I6 m5 ^! v8 Q
[trade-record-all]of self
# ?4 t' |: U' Z' m% d;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self C) {+ ~+ {0 z, _, f n9 e+ f
7 O4 Q6 z4 n; \* o0 yset [trade-record-one] of customer item (([who] of self) - 1)
R7 O# i4 o6 X" [% {! w1 b[trade-record-all]of customer$ Y- E C$ n+ W
4 i P0 g, s. ]& U
set [trade-record-one-len] of self length [trade-record-one] of self4 ?- ^$ A: k: r* ` L% O3 G
7 ~, Q2 Q- r9 O) mset trade-record-current( list (timer) (random money-upper-limit))( A" }- M: J1 ]3 `9 u* V1 C
$ ^& G, ~) o+ w0 j1 Cask self [do-trust]
" v% o/ q# F( ~9 I5 f l2 \;;先求i对j的信任度
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; L4 H/ Y5 N& w. Sif ([trust-ok] of self)5 n9 V; m M) a/ C) x" D
;;根据i对j的信任度来决定是否与j进行交易[
* W/ ?$ t* L& V7 Pask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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" {& K) K( _+ c9 z/ S4 u: N[
0 b( H7 Z2 p+ q/ ? n
( C/ H/ \' [& ?do-trade
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' c3 U! q0 F9 P6 V# F5 k9 Bupdate-credibility-ijl
+ X) a1 i1 v }' n/ u( w% Y) I' x
update-credibility-list0 @! C5 n4 |4 v8 V
3 d( T0 b* l ?; x/ a
2 O* \* g; M' ~" n/ \update-global-reputation-list
# }4 p* {* O& D1 \+ k9 |: Q2 |) b& U8 I8 r& ?9 [, X0 A
poll-class
& o! v/ o. w6 v" ]/ N2 k, X+ I. u% T) D/ q0 [
get-color* u' k( P9 z3 E! W
7 r. z; N; L; T, [# m
]]
' x+ Q* Y; W- P+ W$ A. w2 Z$ {$ ^8 U/ r8 \8 _1 b8 V
;;如果所得的信任度满足条件,则进行交易
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[
5 D3 B; n% ^% D/ f9 m! R" h4 n* P' G. `# U! V$ J# b2 w, O2 @: o
rt random 360
. L% [* ?' I3 Z0 L! f
8 u) n, ~% t; }7 `% O) O+ t! ~( d6 X" A- kfd 15 S8 Z( ~& W1 e6 Y" `
% T, ~6 |' b8 W4 c Z]6 |4 X+ d9 R0 C, u0 j2 P
+ F$ T6 v: `" B- [( x2 ^ M8 \
end8 ~; c, `8 U; O* C/ ^8 o& b
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to do-trust
. n- I" l/ z0 G& oset trust-ok False9 n) [. {1 K. H/ B+ Z
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5 T7 d/ P+ A7 H/ flet max-trade-times 0
# {. |1 `) l% h' ?foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
w b2 _7 I4 `8 w) M" z3 L tlet max-trade-money 0
# E! `$ i: _5 d' R+ R7 [" Y$ jforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]; n& L: b7 X: E6 q0 S) A, O( i
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
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6 N' w1 C9 F4 v3 o1 w8 \4 `; Qget-global-proportion
7 ?9 q" n5 |. C7 A0 U! b; tlet trust-value) o; y T* C/ Z
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)7 f \8 `6 j; a; q# T. G% n# S5 M- d
if(trust-value > trade-trust-value)
: }" U& F) n3 ^( ^6 y[set trust-ok true]
/ ]; Q* U) Q/ ^ ~! |" E3 f8 |( Vend
3 \7 ?: z! W# V" K2 @8 d% Z, o( p/ _1 Y, n1 a
to get-global-proportion
9 m5 s1 C5 e1 v2 Q# W: K6 \ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
- X) j9 m0 h B# ]- l; w[set global-proportion 0]) c5 {& E9 d, x% e0 ?- W! P/ r
[let i 0
% D2 Z* m8 q, x0 u9 alet sum-money 0
* c1 r: N1 C6 l& U) h/ I/ Bwhile[ i < people], d1 }6 ^0 u! U3 R" B* a" l4 @
[9 v5 Q* t! W2 C& {0 S
if( length (item i
* I3 Q6 f8 f2 \4 h[trade-record-all] of customer) > 3 )/ p6 G( e/ D! F- \# m7 U' J
[4 t# @7 u! L4 K) y5 R/ L, ?* U- u
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
' B8 W1 A- j0 S# N5 ?8 i]
7 c* v6 r, Y$ Y, G]9 A6 L, d1 E; T# C6 D6 Z
let j 0
/ v; n- E' u( Elet note 0
2 |3 B0 Z$ R H! s4 v! hwhile[ j < people]. a& C6 R6 ]: _6 A. |% h- t! l
[
1 }# Q: y+ r, G) n: ?if( length (item i) G4 i$ F; q$ ^# H
[trade-record-all] of customer) > 3 )
, n4 {2 M) C; M- o3 @% H- j6 f[% b K$ I$ g a( ?- ^' ?
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
, g5 V% R4 c+ K& b; \/ B+ _5 g8 y[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]# v% {7 Z0 l( ~8 F
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
/ n0 c! R& c/ z5 c- A8 C]
c0 r1 y* M7 P5 ]) c]: R: J6 `9 M: x% j
set global-proportion note
" w! W. b* x8 C* z& D8 o5 Y]
6 M% \. t" W6 q7 n, y l9 Y: nend# w) R9 l; R. t4 u5 u
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to do-trade
+ `& p7 P. K* o0 i& \;;这个过程实际上是给双方作出评价的过程
6 S/ v8 B. O4 G- vset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
7 L+ \& I. a4 Cset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价: |2 u4 _. L* P" G9 K5 s' `. Q
set trade-record-current lput(timer) trade-record-current
% d" ]1 B( Q' F# S( l* \;;评价时间: Y9 g* A4 E# f
ask myself [( M8 j6 b+ c# ]. T
update-local-reputation
' e, \8 z7 S) K$ hset trade-record-current lput([local-reputation] of myself) trade-record-current
% r9 c4 Q% t ^7 y" x]
. V- D) `' L4 v, j* ? s5 ]3 V+ {set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
1 C9 L& t# \, I4 w;;将此次交易的记录加入到trade-record-one中
- M% \+ q/ C- s# G6 W% g' Cset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
6 X2 `: Q8 s: ~6 z# x' ^, P+ O, ^1 c Tlet note (item 2 trade-record-current )
- J/ Z$ O2 r* V8 h+ n; _set trade-record-current$ h' s: r. c1 }: ]' U) K+ a+ b
(replace-item 2 trade-record-current (item 3 trade-record-current))
. h7 w, W3 X aset trade-record-current
3 S( p2 J: |+ }3 C$ R(replace-item 3 trade-record-current note)
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& S% C) G* C6 i$ `) ~2 U |/ u, ~: G2 c2 O
ask customer [5 _) \: X. O7 M. A7 l
update-local-reputation4 h: @5 M) d3 s* ^4 Y0 Y9 E
set trade-record-current# d3 i! T) A+ {5 U
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
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8 Q9 O8 h% \+ Q: a) [ q1 b
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set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
" {# r+ v _! K
; n8 G& L. E2 _2 b: C1 tset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))# V4 J$ t- M. E7 S
;;将此次交易的记录加入到customer的trade-record-all中% P1 ^+ _. v; b2 [! S( o7 u
end
9 Z A. Y& ?3 K1 k3 @: o" |& x, T: b- K) B
to update-local-reputation6 I6 h- `9 d( i' B: h# M
set [trade-record-one-len] of myself length [trade-record-one] of myself m5 g0 x6 e- U8 b- }
' @% }1 V( Q4 `5 B; L* b; t" A; E! Q: ?; C/ P% `; _ N
;;if [trade-record-one-len] of myself > 3
- Y. ]! E# O+ ^5 }5 j; Fupdate-neighbor-total
5 F3 D8 |4 w7 O3 w+ O;;更新邻居节点的数目,在此进行
& ]. F9 P2 }8 e8 Z' g; a+ ^% Llet i 3
1 }& ^3 M2 V y0 @3 G8 C( H/ Wlet sum-time 0, d3 f3 e8 m3 k1 B6 x" C
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) )
# h. d1 |4 _2 B4 c1 F! }set i
$ a# H/ C' t' T1 ~8 a( i + 1)$ ]0 e) {. K- L
]
6 y* `! Z# K5 [7 ~4 t9 olet j 3, t0 U& a$ p1 M+ s- i: w; K$ e
let sum-money 0
8 Z" ]/ X9 j, g6 d) zwhile[j < [trade-record-one-len] of myself]) c8 }3 c( p& s: r7 ? m
[
; n/ T R. ^6 A2 r( m% Qset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
6 p) n+ n+ n+ r' }set j
+ l2 l- V, d7 C3 d- B; E( j + 1)5 T! L2 m& D* d
]5 w7 i) M: W/ m1 C, @- s0 `5 y
let k 3' m% S$ U2 M. Y, w) M; Z8 I
let power 0
9 @. B6 C- |( }7 B7 y* K% slet local 0: U1 y7 r; O% J4 i9 ^5 K
while [k <[trade-record-one-len] of myself]4 y# a/ y" Y7 o
[
% P) a/ y8 i& y) D# m( E# D' h& lset 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) ; Z) [' y/ L5 {7 j1 | u1 L
set k (k + 1)
- r0 b/ Q+ z( O4 ^+ `]
4 y) V1 t/ U# }% lset [local-reputation] of myself (local)
3 N0 K' z+ v* ^( g0 v: T" g6 X( c! j- c- |end
, N! i! W8 x) o) m: Z# _
) }, r( z/ P& \ Uto update-neighbor-total+ z. {9 o& J3 \3 u4 s- _
2 k5 z. n+ X, Q; a
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]; F- ]# h( T0 s! G; r. W
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: H8 L5 @' _3 h* S) }0 a$ e: Rend2 M% R4 [8 B9 n/ N) S. F
& h9 r: ]7 ^* q! ato update-credibility-ijl 6 n+ I/ a! i$ u: r# n/ G
* D/ _; F" ~! x- ]
;;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。' |; x8 I7 t, {# Q; c9 ]5 y
let l 0
7 i. s' B: h" m5 ?8 i9 @/ L& z1 r% Swhile[ l < people ] R( |) b' }' V( }4 g) e6 A
;;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), h/ I$ S" S" P7 w8 k6 N- l
if (trade-record-one-j-l-len > 3)
/ |& Z, ^- {! _ f% A2 X2 ~[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$ j3 z2 w- m0 c' D9 Y
let i 35 E$ F' T/ M' Y* O; X5 u# m9 v
let sum-time 01 A: C+ u/ N; P: y
while[i < trade-record-one-len]
; t N/ E/ A' o6 y; z[
$ ?$ w4 a! G8 e4 D4 ] U& eset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )8 o. b0 H% |6 M3 V( T
set i
9 T/ M7 Z- d4 z8 z( i + 1)
) d$ \ x- N) a9 i F]
1 y5 ]$ O3 t% J T5 O3 {2 ?let credibility-i-j-l 06 W2 b8 X( D5 ^7 p9 Y( j
;;i评价(j对jl的评价) z( ?2 G( h5 T1 F3 u8 u2 Y
let j 3
4 S- X+ N; h. `0 g& V( f) _) e2 Nlet k 4
t" ]$ K7 r! |1 ^1 B f9 h$ q9 twhile[j < trade-record-one-len]* y/ y4 ?! b4 m+ O4 l
[
% z' j. z" S5 q4 Ewhile [((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
! Y7 w* A$ n8 k# q* p2 x! L6 Rset 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)
: }$ i5 @( D0 g$ yset j
% Z4 k3 m: q5 P2 ]2 }: ~( j + 1)
7 s4 b& t* [ P]! K6 Z& z7 C" V j+ _2 x3 h9 u
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 ))
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\( S1 I) C, w2 Nlet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))4 d' B5 g; ^! x/ W
;;及时更新i对l的评价质量的评价" o% N; w8 ^4 s3 B Q
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]" m2 w u' C- D: w4 ^# K9 i
set l (l + 1)# x. H; Y+ E1 l4 u# \; ?. C
]& o* Y8 U7 n' b
end
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( n( s1 H8 W# ~6 Y. a3 } Oto update-credibility-list9 y. _1 w9 w q3 y2 V: _4 Q
let i 0- A( N5 f* Z8 E; i
while[i < people]
: }5 z% k2 i" M! p[
1 T1 w( e: h/ s1 J' P) X% Klet j 0
, h5 f, t% X- d0 v% w. q9 I& ]let note 0) D* @8 A' `% ]5 x5 |
let k 0
$ s4 {2 Z0 T, J" t% N! V3 L0 f# Y;;计作出过评价的邻居节点的数目; c$ L! G; H" F
while[j < people]
: f# U$ o8 c2 ~; F! [" o[- _- k9 h7 k, S* z/ F5 g9 E9 v
if (item j( [credibility] of turtle (i + 1)) != -1), V! @+ x- ?) v4 I, H7 `
;;判断是否给本turtle的评价质量做出过评价的节点( o7 U& o- Y1 [; f4 t8 Y, V! g
[set note (note + item j ([credibility]of turtle (i + 1)))+ Q5 @% e6 j! p! ^# z5 ~$ s
;;*(exp (-(people - 2)))/(people - 2))]
! P) p0 Z/ P. i; s+ oset k (k + 1)
" ?) n, ]% t- A3 G/ f$ n; I& X]
! Z$ }- b# R/ p6 qset j (j + 1)
8 R! ^* {( C. J2 K; U( l" {]" z, j( ?( ^* \2 e; c9 m: d
set note (note *(exp (- (1 / k)))/ k)
5 W5 ^0 m0 B' C0 D3 ]6 }set credibility-list (replace-item i credibility-list note)* V3 s- Q& k* L2 e: N5 q) c
set i (i + 1)4 f* Q+ w5 L; q* S C0 o \( Z; x; ^
]$ {* `! m, e1 f" U
end: }4 F8 y& K `8 _3 H
" l! a$ v& `0 ?& E0 H
to update-global-reputation-list
( X9 ^* B: a- x: ilet j 05 f/ z8 `7 k# u/ g1 _$ L7 s/ H
while[j < people]7 z* H( S3 `2 \- {, U N ~
[
5 b. r4 }6 E$ A& Alet new 0
0 _& A1 A' H8 u1 p* H. h9 S7 O, n;;暂存新的一个全局声誉
3 v2 W3 W* ~9 R% c+ u7 \8 zlet i 0/ f9 p- S6 e% h- b8 J3 B9 @5 X
let sum-money 0 A Z- E8 O8 e Z! e" K
let credibility-money 03 Y8 n& d, N. n
while [i < people] j; Q8 s. F) e m. b6 }& @
[6 |+ ^0 D4 q# d9 T9 n
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
4 {6 k# a' \% [. Iset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))2 b+ e! ^5 Y- ?0 r1 E
set i (i + 1)
) v" ^( j# H8 B$ U], {( q, h$ l Z: R
let k 06 }& ~9 r0 ~3 [, h2 Q* x. A4 a, f
let new1 0' S! {1 t% A1 ^) B! y
while [k < people]7 j$ C& P! x! m! X# w) _$ ]
[% j9 N) d9 n8 r4 \9 K1 Q; _& @
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)/ C1 \6 V2 m4 C9 y( @- `5 y6 C
set k (k + 1): _/ K3 _' N0 Y. S* q0 r
]
; e3 q0 S6 ` s3 Xset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) : K" \& s% o0 E7 a- V' D
set global-reputation-list (replace-item j global-reputation-list new)
& M/ J* ^( x) Cset j (j + 1)
/ U/ q: m& d: M f0 Q9 j% V]) C* d i8 g! E, S5 X$ _4 q# H
end
9 p7 w' H, G- R4 P4 w
9 ]+ X- B" O% p! Z3 d8 X: g& H4 }6 o& f* S7 K7 l! Y
7 H+ o. L* \$ m$ @. I2 {
to get-color ]0 D+ h7 r0 k: \4 H: l1 U6 Q
2 ^1 ]0 n! U- o6 W
set color blue
1 t8 @: P% R6 L3 Nend
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0 o" \7 l, p, ]to poll-class
' c4 N& o$ _1 b" R; U: cend$ o: m3 r+ \& a( X! p: V9 q2 e! `
' ?9 d- u8 c& r' m4 y% q% kto setup-plot1
+ d5 Z9 J0 {# o0 E6 d5 K2 ~+ c6 c. E: }9 \9 m6 ~& x$ X4 B! {
set-current-plot "Trends-of-Local-reputation"# v$ P5 j* j, a, r/ a0 G
4 w! V2 K/ N8 N6 X' {# C9 _
set-plot-x-range 0 xmax0 w7 h+ e8 A4 [! u
7 W: u' N! j* p A2 v. L- b
set-plot-y-range 0.0 ymax
" a$ e) L) Y/ s; Dend8 J; A7 X: `) A: v1 a
+ C/ u" o* }9 Z$ Q- _7 h) W" y
to setup-plot2' z8 F7 b" f) O; `
/ {- t' P8 @- `, U0 H/ y
set-current-plot "Trends-of-global-reputation"
5 g- E5 {! _% |9 ~: o# ^' l2 G8 _/ K: i7 _
set-plot-x-range 0 xmax
9 s) [3 b) u' W* E; [* g0 c* F$ J$ I- n `" p
set-plot-y-range 0.0 ymax, W5 @( `4 O$ q# V% E2 r
end
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' j* Q3 q7 I) ?: A( q$ b* |to setup-plot32 J& c+ I C1 I, _. l; ^ E
, z4 J r9 t+ Q& s1 ]
set-current-plot "Trends-of-credibility"
" z7 ]% ]* `% r$ F9 Y( d9 ^
) N0 H$ D5 N X! N5 y; kset-plot-x-range 0 xmax0 U, Y6 u+ ^+ K; i
4 Y4 P3 A+ }# Oset-plot-y-range 0.0 ymax
5 q5 Z; K/ A& E$ C$ f1 N# G/ gend6 E- I2 v {; J" {$ p5 |& o. s
# s" j1 ]1 x. L6 P* F
to do-plots( Y1 C1 }. j- ^) B7 M5 Y' ^
set-current-plot "Trends-of-Local-reputation"2 G7 w o) n! I$ [. R7 @9 q
set-current-plot-pen "Honest service"& w% I5 @+ v" T
end
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[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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