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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 m% j5 a( E6 {
globals[
' I4 h P/ H/ J; @5 J7 O8 Ixmax
& R& O2 b3 I v2 Rymax
8 x) G* V7 F* Q* bglobal-reputation-list% N2 p- K3 L8 @* p/ Y
- ]- b. f+ U: Z+ T6 `# b; _) n;;每一个turtle的全局声誉都存在此LIST中
: K* U- [6 ~- dcredibility-list
6 Y& M: H+ i! Y- z; B* P;;每一个turtle的评价可信度
|6 A0 n9 P, ]6 T( W. Rhonest-service+ d6 T; B% u5 z" h: ]
unhonest-service
% @' H- i, `* X6 v& D7 J! Zoscillation
6 n: I* u8 _/ L/ V/ ?% e0 Vrand-dynamic% S) O) V) a; e! P
]
- ~/ _$ ]' _3 Z; W/ y+ a" M; |5 [% \' _! ]) ^+ _
turtles-own[
- ^( L" ?' |* O4 Ztrade-record-all
( ]8 K* N' x8 T& M;;a list of lists,由trade-record-one组成
, a( \, U! I6 h; r% ^. t! ]trade-record-one, A1 E" n) N: U1 S! X5 c
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
2 y9 q1 b+ _7 j0 s- Z: G7 \0 `
3 r3 D: p+ E* z, p9 f! A- h8 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]]
; R" M5 s9 |! o, o Dtrade-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]
9 b9 V# f \0 ycredibility-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list8 i7 Q2 g3 h1 {5 b- N
neighbor-total9 E) m; z# G# B$ E! E0 I$ T% i
;;记录该turtle的邻居节点的数目2 s7 q, j; j- r$ Q( c4 t# t
trade-time
, @% X. I" q+ O" L$ V( k% X;;当前发生交易的turtle的交易时间8 [) i: Z0 j6 N- V0 f; K( n9 ]2 ~
appraise-give
, ^7 n2 R. h$ y# j( g;;当前发生交易时给出的评价
) U6 z" d& s$ p* c0 dappraise-receive8 w% a/ P3 G5 ]; T1 M4 o1 S& r" r
;;当前发生交易时收到的评价
/ d. O3 Z5 |: dappraise-time0 }' h2 `0 k* h3 m! L
;;当前发生交易时的评价时间
8 Q i3 Y# j Flocal-reputation-now;;此次交易后相对于对方turtle的局部声誉1 r# t; C8 u1 {2 _, W2 W T! ?
trade-times-total! Z* {8 O* \3 m
;;与当前turtle的交易总次数8 ~( Q0 {9 y4 v% e! K2 ]+ U5 r4 M" Z& u
trade-money-total- S3 }6 K3 G, O9 ?) l
;;与当前turtle的交易总金额
$ ^. m9 ?0 ?( }3 a5 U' j v( P% jlocal-reputation
T9 Z3 W# i0 a1 yglobal-reputation) U/ |+ N9 z$ a( z* [
credibility
4 U- I% G6 V% b1 c: G;;评价可信度,每次交易后都需要更新9 R c2 c, b; c# T* _7 u
credibility-all) B9 A3 t, Z. s3 i ~
;;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
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. m J; j! z* _, W* t;;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
9 ?, V# @/ T8 }credibility-one0 e0 c: o* g% `3 M; z. E
;;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. V' B# X# z! U- T2 u) f
global-proportion
9 {# I) X& D m8 u$ j2 y+ gcustomer7 O# H1 g1 z- r6 w) ]
customer-no
( p8 r& y) _" D) |trust-ok
1 ^+ g7 X. i ^trade-record-one-len;;trade-record-one的长度: }& S1 K5 v. Z! E: V
]
R5 S1 n9 H- `$ k! _! o, I/ E& v6 v
;;setup procedure' P& o# U5 w5 D: y5 S! t
* C8 I V: Q# u' b9 Z& ~/ s
to setup
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3 |3 S( I! r( b0 Aca
0 i$ S; T. h, x* d* P' \; @
8 P: H$ K" q6 c5 a* ^2 x3 oinitialize-settings
7 W0 e. z8 j1 o0 \# i8 r
2 G6 ? w2 Q9 ~crt people [setup-turtles]/ H% ~+ y" s- V! O; {
- d0 {& n# ?. @" j8 {4 {0 s4 Breset-timer
, G8 {& N4 J* g/ w: o7 e# l5 r5 X2 V: T# Z. `2 Z5 d
poll-class
. i1 B7 q3 h% Z" k- [& J6 E! t, ?0 e3 p% M2 T+ ?' b( D
setup-plots
# C4 }. I7 q2 S1 A/ [* Q) g5 e
+ d1 q' Y5 t5 r( K5 G+ Rdo-plots
& a! i4 x9 F! P) L- ]; |3 V7 ~end
1 |$ d! h% `( |( h$ Y# M; K# t2 | S8 i- \5 ^, F! l2 w
to initialize-settings9 o/ ] ?% j4 ]+ j* s5 i
, [- S8 u" `+ z- e6 E$ Kset global-reputation-list []
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$ p2 `: j K) ?4 I3 Z) X$ Iset credibility-list n-values people [0.5]
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set honest-service 0' l& K9 ^: B! k0 m( ]6 M
0 {- K0 Z! B" D1 ?+ B1 Wset unhonest-service 0; b7 {8 w; v# _! ~6 d, E1 @
+ ]$ g% p5 R, h% _, pset oscillation 0
3 H% k0 P0 \( Y: C r
9 {, T* M E8 g" ?set rand-dynamic 0
* m( v2 b- Z) L! o% O7 ^# ?end
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5 o+ x* X5 ~4 n3 }( [3 B+ h, Ato setup-turtles
, ]6 C* P# ]9 W3 h& ~# ^7 H! uset shape "person" h& r( Z0 L- b# e+ t* v7 B
setxy random-xcor random-ycor3 z7 d" y9 S' }) x9 o9 f
set trade-record-one []
8 K3 _. M+ n( p# I i5 J
1 d$ ~0 Y+ }0 e1 t5 E- g6 `set trade-record-all n-values people [(list (? + 1) 0 0)]
; [ X8 t. x" L0 A0 v
, i1 X- R) Z! E/ L9 aset trade-record-current []2 _# q+ K7 I+ U) [7 R
set credibility-receive []/ V( M/ M4 D' S( F7 T0 h0 I
set local-reputation 0.59 K; P4 K! E% r% ?, z; `
set neighbor-total 0
. a2 B7 o1 `- X/ S# r% Y$ m. E& y$ |set trade-times-total 05 |8 f9 S% S) u, D- W0 w" {
set trade-money-total 0
+ ~% D8 o" h, M1 f+ z( pset customer nobody" A! I5 @5 B6 ~0 ?
set credibility-all n-values people [creat-credibility]
' Q! J3 y- C! J" U) A5 Dset credibility n-values people [-1]
- M4 j' U9 B/ X+ J; {# `get-color
/ D1 G6 t/ H$ N; \. \0 ]& k
2 M; S6 ?$ a" T h$ Z' q( Qend2 c- e4 `, [2 ~& d/ _; @& e
; ]' g' F7 V8 n! I8 x: m1 b" oto-report creat-credibility6 D- U4 @3 y3 {; J2 k% x; T
report n-values people [0.5]4 m: l+ D% M$ j9 h
end# N, i! ~# h6 W) v4 u
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to setup-plots
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set xmax 30
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' _( J: i3 I3 y2 x3 ^set ymax 1.0
5 F# u& O$ q; h+ ?
, f) m% ^$ |( ^! N/ j9 v' _! `clear-all-plots% U7 f8 h# X. c9 z( p4 E; G
* Y0 J" ~# M6 N- {& v# X( Usetup-plot1( V4 t+ f# L0 L4 T2 R4 c
4 s# h3 M5 p0 [- k2 t
setup-plot2
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setup-plot3
% M& ]4 O" W% V6 Tend
4 R* v! D4 S4 s9 R) s! ^% Z! U( z& K/ \/ [& j& b& c
;;run time procedures
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to go
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: C8 C3 z' P6 _% f. mask turtles [do-business]
3 ~1 }9 ]7 n4 i" ^, \end
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) y+ v3 r' L6 w9 W6 ito do-business % D3 J+ b/ Y' F4 B& ?7 B/ C8 ]4 V
4 V X5 F2 _3 f1 L+ A1 b8 f
+ L6 U7 H, j& A. {- qrt random 360% a! `( t# H( Q5 p
`6 D. Z7 x' ]6 S
fd 1
' `2 f1 {8 d0 U6 I' L0 s& s# p: M! [" z$ T" }$ z3 S
ifelse(other turtles-here != nobody)[
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set customer one-of other turtles-here
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0 ?8 H' e! n3 F2 e5 {;; set [customer] of customer myself. d+ H) P1 X5 h- B, j, C/ p
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set [trade-record-one] of self item (([who] of customer) - 1) u. d' F1 y( K- E0 W" c7 _) r
[trade-record-all]of self, ?4 z& Z1 _# R5 g
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self4 ^ K+ t& I( }0 B
1 R: L: a9 G5 C; f6 {, r/ {. }2 z) [set [trade-record-one] of customer item (([who] of self) - 1)
. ^5 P- L% R$ ][trade-record-all]of customer
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set [trade-record-one-len] of self length [trade-record-one] of self* G0 r, T3 a1 ]4 p+ s8 I8 W( T
0 ~+ o: y% f4 [$ Y, g' r, M
set trade-record-current( list (timer) (random money-upper-limit))8 y3 o! R; F" [5 ~4 t
4 b3 b0 N, H- N3 F- {$ r* y1 t: e) z
ask self [do-trust]- |: {8 [: s2 W, D+ k
;;先求i对j的信任度( O& p5 U2 Q. g- h! v) C" f/ X8 F
! \' i1 F2 D1 ~% G" @ Jif ([trust-ok] of self)
6 o+ s7 D* B( [& }. k7 A! k;;根据i对j的信任度来决定是否与j进行交易[7 r- v. Z! l7 \+ s' `4 a
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself6 l" G" t/ r& F5 _% p# _5 T5 f
( X# C$ S: H, O; u" f" h[
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7 d" ]- {! c) a+ D [# }2 X7 ]do-trade: L3 h( V* K' s; K& t
$ s) ]/ b2 D7 q) hupdate-credibility-ijl
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5 f1 n, ~1 p) [! J# Nupdate-credibility-list; z# V8 ?# _: ?7 D/ F' g/ [9 W
n4 A) M( h2 I* Q5 k0 X) L1 g
update-global-reputation-list
, I& X# g0 F7 r
6 E- o3 G% H; R) _6 }poll-class
5 J$ L7 [- @2 n5 {0 ]$ ^* S4 Z m0 z, Z
get-color: [0 J8 {2 M8 {
2 e& |- ~+ V( l% K+ y
]], i; k7 \: V7 Y2 ~; j) ?- t) \
# N5 _* S" [6 [; S. O( r& [
;;如果所得的信任度满足条件,则进行交易
$ C+ x- ?" | c4 L; r+ N) V9 v4 u9 D& u% u9 R* k J" W
[: O6 d* |7 W4 }$ I
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rt random 3606 \: A# m) Z |; `: U
" A8 B& |5 e; @. J
fd 1
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]
1 O, c3 t& k# \! d9 _0 f
! ^! Y/ z& N. {' Z1 @/ Qend2 u: H) }0 V0 N- i
+ H- ?5 y% D* K( i( c: g- R) _to do-trust W3 ~% z, J0 m5 o- P) Z: |
set trust-ok False
$ _4 {! B; Q8 u( T+ S+ {( f1 w5 r4 L) l" N7 a+ x* \/ E
: N6 O& L: q& _* [5 plet max-trade-times 0
; C# a. s* W2 `9 L2 R" C+ Gforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]6 P" u( v% F6 J0 O/ a
let max-trade-money 0( y$ C# v! U2 @, ]
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
9 o- K5 U' q7 ~+ }: Rlet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))) a7 ]& g. W' I& \8 g6 {) V$ `
7 M6 _1 \) q; p- @* g
* \' o; Z' \) Q1 ]* A8 j# pget-global-proportion
" _$ b7 G5 f1 f: d0 \% ulet trust-value
3 c6 |8 w0 w2 j! |# x8 G' F5 Z1 {# I% 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)* L' P- m' J1 @/ h' h8 \% k
if(trust-value > trade-trust-value) m. G- s; _( c. g# T b
[set trust-ok true]( ~: c8 t7 E# s7 a& T+ [7 b# X3 _& J
end* r* a" z# U6 q4 k7 }' o" A7 a
8 s) P5 m7 J/ \& r& g, vto get-global-proportion! ]' ]% {8 \0 J8 H* y1 n
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)* |& s8 T* c$ V! f8 M3 B3 ~
[set global-proportion 0]5 ^0 T- V/ [4 M4 o0 n" W7 g. C& g: d
[let i 0
4 Y: I0 J+ n+ nlet sum-money 0
% _& P6 I) V3 }8 Ewhile[ i < people]: _. h5 m; S& v# |6 ?
[
& u: J+ n5 `3 k5 x* h- f; oif( length (item i
: u* w! i9 e) }0 G5 T[trade-record-all] of customer) > 3 )" L! ? p7 p- K) z
[. D, B. r1 z0 [( j F/ q
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))5 }% c* v% ^3 H# |$ C; F: {
]( z* V. x$ C* [# R @$ h9 I- D4 C; q
]
1 p8 \! q, v+ L+ K( M8 ilet j 0
- [" o7 W E. Q k+ L. R" Y& hlet note 0
5 \/ y9 Z2 J) k) y. W9 L2 X1 uwhile[ j < people]
" f9 Z( s9 {: x6 \# ^& [; e[! y+ J. i% l$ v; n
if( length (item i
' ~7 B/ o- W- P5 q+ g[trade-record-all] of customer) > 3 )
' | j- ]3 J6 S4 V6 J+ I' U* ^[$ d7 E# x0 R9 S, v- w6 u0 d' L
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
y) d! R; z* s5 F, e% ]6 Y[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
8 o+ O# A7 s" @0 F. ^0 N[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
! v+ x0 D' P) T+ @) g. E5 L]6 W/ Z- P3 }4 g, U1 {; M
]
1 n4 i |% C6 h; [set global-proportion note
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1 N: ^% A; L+ K: w* `. F- uend) s( x% j0 f# O
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to do-trade
1 S0 I( n" j) u1 Q# P;;这个过程实际上是给双方作出评价的过程
5 r" b. |! X7 x+ ]set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
! | |$ l( U* u1 d: {2 `set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价2 a% A; T1 x: c" c( S1 o8 ]% b% o
set trade-record-current lput(timer) trade-record-current
* R4 R& U: P6 S) \; g; Q2 T;;评价时间
% m" R' O8 \' [* B! Iask myself [9 n7 P! L2 Q, v$ H! T
update-local-reputation* y3 G7 n$ D9 ~! e/ k6 t6 l- W% I
set trade-record-current lput([local-reputation] of myself) trade-record-current( h9 N7 { L) r7 ^( T% e! G
]
1 }: I+ x* r! a4 V* Jset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself/ c! ^- H( Y0 B$ u( u! _4 p N
;;将此次交易的记录加入到trade-record-one中# ~; u3 Z) F0 k- g
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)$ d9 A3 U& ^6 u0 M* A. I' h! ?
let note (item 2 trade-record-current )* J) }: G5 \# Y
set trade-record-current
8 \8 j1 i( ^) N9 u(replace-item 2 trade-record-current (item 3 trade-record-current))8 w8 X5 f$ i1 m' b1 H) T
set trade-record-current+ ^) W' |3 _8 X: @9 U7 R- G2 H! {
(replace-item 3 trade-record-current note): H& Y7 s3 r+ J# z! N/ k
7 [; X/ n* S6 n( w9 i9 ^3 G. w
_& X2 I0 w& |" \" S! kask customer [
" q8 m3 I, a& aupdate-local-reputation2 \( q( l! O! P1 }2 f, y9 h
set trade-record-current
2 i, j0 I# T, G% T. q& q2 z(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
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2 X4 v( h- d' ]
, l# O9 I9 Z8 x5 u+ v
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
- ?6 Q4 u! J2 V# l9 v2 O6 ^" y
0 |. ~9 R' }% c( p2 Q8 g% b8 Yset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))1 a( | M& q$ j& b. ~3 l
;;将此次交易的记录加入到customer的trade-record-all中
- X; R: F3 ~% G( j x) Xend
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1 q' U; ~8 H6 S" z" ~, Nto update-local-reputation% g1 W% X/ N, z' o
set [trade-record-one-len] of myself length [trade-record-one] of myself5 A6 x1 B/ P4 d
- N& o6 @$ L1 r% V+ x- @9 M
* I0 s- H' j# J1 D5 u. B;;if [trade-record-one-len] of myself > 3 & {' z9 ~' u: }2 G
update-neighbor-total, b( Q/ C" C+ ~3 A! q, l4 |) A
;;更新邻居节点的数目,在此进行- ~8 \# u n7 Y9 H9 L2 ]
let i 3
3 r1 g+ `6 M: r' ~9 |let sum-time 0/ ]7 g' \. t) {5 d8 h% u" y$ V, o/ x
while[i < [trade-record-one-len] of myself]# {. f4 a) J6 x
[
! ?& e* K! W0 E/ Jset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
: H' s3 w! t4 e- d6 P$ o/ J3 Rset i* a+ @( d" D# t* b' k
( i + 1)
- d! a( k6 f8 N Y) s, |+ D]7 R% `& _( Q# `0 @4 M9 S
let j 3: D- w4 a' R& K. {- o, W
let sum-money 0
* y2 K0 T. l! D; D% p# p1 Pwhile[j < [trade-record-one-len] of myself]& @) T W7 b6 m& w# Q- {
[
( t8 S C0 V. A& [6 Z( M/ xset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time): ]; I* y! b& H9 G# k
set j1 n8 e, l/ [5 U4 t" x9 R4 s
( j + 1)& x" t2 N3 U) n# [* [! E5 v _
]
3 ], y) z5 _% n+ G" d# mlet k 3* G6 Q0 V/ H$ X
let power 02 w* C i& ]' L% Z
let local 0 y: T7 c# B/ D( u: l
while [k <[trade-record-one-len] of myself]
! ]( h6 ]9 I# S+ e( d* G0 u ^$ r8 H, v[
, N( y2 K. ~& x, jset 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) ) d% R3 Y: Z: E% p3 _, {" k1 i
set k (k + 1)
+ L! C: E6 o3 _: p]
8 e) L. {% ^( u0 n# sset [local-reputation] of myself (local)
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0 `/ F; I6 A+ M! N5 t
+ [0 g. r" A2 {2 V, [9 z. ]to update-neighbor-total! U1 f Q# p" E/ I" X! z
) r5 h! [. O# s9 tif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
% I, k5 V$ Z2 P: q% {% q
7 c% U* R5 x0 H9 O! s, N: D; u& |# Z2 `! r+ }
end
8 w! S* A& T5 w0 e7 W8 R/ E5 w; z% s# J
to update-credibility-ijl / Z* R# M3 u; K4 Y
a0 m# m8 `* T. N;;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。3 `* F: ?) F$ R. F
let l 0, t4 @8 j1 B5 e" x
while[ l < people ]) ^9 b0 U+ P. Y; Q6 Q, W
;;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" f& n e/ s: i v' \( ^( ~
[
: d% r6 j- Y% b, F7 V( ^4 v; Z. j/ Zlet trade-record-one-j-l-len length item l ([trade-record-all] of customer)
7 t' G+ A0 G* C" Qif (trade-record-one-j-l-len > 3)5 f9 L# C6 G2 U+ Y4 U2 d) H+ N
[let trade-record-one-j-l item l ([trade-record-all] of customer);;暂存那个评价质量正在被评价的turtle j的与l的trade-record-one
" V- k6 A: H1 j$ y3 {let i 3
% E: z% ^6 }4 P9 Nlet sum-time 0
# G$ u) @7 r6 ?$ b+ rwhile[i < trade-record-one-len]7 S3 _+ ?( \) k
[
# Q* J! w+ ?1 Xset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
$ S: v$ u/ Z: B. w) {5 ]6 `- Zset i! T) C, Z' l. h! v8 l) w
( i + 1)
; x9 t' R4 w6 S6 @; v]: n! g" }% i4 V. ~% d
let credibility-i-j-l 0
7 c3 S# v2 E n' e. A$ u;;i评价(j对jl的评价)
5 u. Q/ x+ b4 C) _! ]" j# tlet j 3
" I' W5 c/ r; y6 G: slet k 4) [, S: ?% g. Q* w8 ~
while[j < trade-record-one-len]
* b# w$ z% F" Y5 K% w3 F+ B8 R[ v q( s& T4 [0 v3 Y0 u
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
# A) k9 q/ m5 H/ ~' {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)
+ B; X6 a; h& Q% _$ Eset j* K+ M/ l* C" K0 x9 F4 N0 t
( j + 1)# H6 v& w" \ q8 P+ N' J
]( ~/ F; H# U% V' e5 j* S5 \
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 ))
$ @: w* D7 I4 Z8 b8 _; j# R
8 r+ _4 |. `7 }# Y
/ \8 P% Q; i! y/ z( J! llet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))" l# Y" X% C3 R- D( c
;;及时更新i对l的评价质量的评价
& X! w' `/ F5 \4 ^+ t' e% Y pset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
, N5 K6 f1 H; ~* Pset l (l + 1); h" \0 x5 D; e
]
* t" ~# R5 H6 ~end3 a. G& n5 z8 C# ^2 c# w
. q" G) e4 H& Yto update-credibility-list) l: e! W, u5 [# ^
let i 0
1 b* W2 }' h, i% L' T- y3 Z8 owhile[i < people]
9 I3 t: L# q7 M$ A[" Y% U4 b& C$ q! @/ V2 m& y( J8 L
let j 01 U! R0 t. m. G9 r. o
let note 0
1 d7 L% ]9 b& A2 A( ?let k 0' {1 P9 t7 r4 A7 P
;;计作出过评价的邻居节点的数目; M& |% i! ^$ m9 d$ w B) B. w, Q- _' h
while[j < people]
+ S, p( S6 O+ O" R5 x1 ?) `$ Z[
/ U4 d c9 |+ k0 _4 ?1 E5 tif (item j( [credibility] of turtle (i + 1)) != -1): D& }+ S# `0 N
;;判断是否给本turtle的评价质量做出过评价的节点3 X: Y7 J t0 i, N) U
[set note (note + item j ([credibility]of turtle (i + 1)))% Q6 Q4 r0 [4 |- Y( Y! w! O! a
;;*(exp (-(people - 2)))/(people - 2))]
# e, I; z% g: Q8 l: ?* oset k (k + 1)
4 u R# q. m& `+ `) i1 Y9 ^- a]6 s) {3 K3 q- b" f
set j (j + 1)
. @) { G- F* I& b' t5 j]
* g9 _1 c3 P, [7 `8 o8 Hset note (note *(exp (- (1 / k)))/ k)0 \) z V( L9 V2 p* ~
set credibility-list (replace-item i credibility-list note)/ f+ _9 u# S2 \
set i (i + 1)
, M; x2 P& V2 F]
- @0 m+ y7 W% A* Z; rend
; I! ?) }! c o
1 m4 l* ^0 ^9 y4 o4 `. \4 sto update-global-reputation-list
* ~$ m# L4 t4 z: I* g9 o( j$ R& glet j 0
. U& e0 K0 X( d$ wwhile[j < people]
" d7 h7 y K5 f! c2 G a6 G+ X[
" r9 E- ^. s# dlet new 0
9 P- `( G+ V& w. Z' r* z;;暂存新的一个全局声誉
3 G/ w5 H6 _1 S- rlet i 0
- ~; k- ~8 j/ }4 K$ j) o* Mlet sum-money 0
5 M, @6 D9 S5 e: e. v1 dlet credibility-money 0- P9 w- Z! j1 N
while [i < people]
# E8 [( C' N' V A9 _[7 L$ l# K; v8 s, U2 @* j/ o7 W
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))! }0 p9 q4 }, |! u0 L$ `
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
3 L- F( G1 A) S$ mset i (i + 1)1 N2 w* S2 F1 C: L' @
]
6 N4 `; n* Z5 o+ Y8 f: S4 Ylet k 01 T( b! A7 |+ x5 _5 W
let new1 0+ ^' q4 Z' D4 H! k3 R- O$ h
while [k < people]
- K2 {7 `) b4 G# Z# s. K) T[' r1 V. f' r0 L
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)% T0 o/ n9 x* g$ X, e
set k (k + 1)
' M3 q) M# z9 M3 G9 v& ]# J0 _2 g$ ^]
9 P% ^/ h! ^8 t% bset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
2 d& \$ t, ~# N& P# {set global-reputation-list (replace-item j global-reputation-list new)/ ^$ @( A) T9 x$ o( R5 ^- U5 D
set j (j + 1)7 c$ h/ \7 c" {/ u$ k/ O
]
& M5 Q, E ?! X0 wend" C7 I/ I& F3 U. X1 @
0 X5 n& p i* ?* j
6 M8 S7 f7 G1 |( W) o5 Y9 o, x1 p' h3 n# l
to get-color; F! {! Z) l0 Z6 `( a
# |/ U1 r9 ~/ z! F
set color blue, F$ D- z. q1 H; `
end
* p8 A9 ]+ M8 `) @/ ?/ Y: P- l0 j% i3 ~: l i
to poll-class( J' Y7 q! z9 b' v: u$ a
end
* @4 Z7 d5 T. E8 g5 H
0 _/ ?- i4 I& d8 U0 ]2 v# Xto setup-plot1
8 W h2 |) H1 }4 |
$ N! Y- v% z7 h1 Eset-current-plot "Trends-of-Local-reputation", y, @4 O9 F, D: V: @0 v
' i; j4 _, I# n1 a
set-plot-x-range 0 xmax- Y+ P4 L6 V9 ~) W3 w9 O4 Z& U" i4 u
, E, K, A* S5 ~, Y: ~$ o1 Cset-plot-y-range 0.0 ymax5 {; Q, r; g5 o/ t1 f- P# E6 z
end
" t! x+ _1 B) h8 \ u& f; V7 E" l( z+ @: g( [$ w, A
to setup-plot2
0 |. A4 S* e/ F/ N5 q. @3 Q/ J& L, m
set-current-plot "Trends-of-global-reputation"
( W- |) P$ [0 f8 h
) a, S5 T- Y3 Z/ E! eset-plot-x-range 0 xmax
1 \/ @4 T. K( V/ Q" j1 K& V9 ^- h2 _, k, x# y# |" ~: K
set-plot-y-range 0.0 ymax x! _9 t$ `$ Z2 v, h; ]
end8 a/ I1 s+ `$ c7 A" y8 H) c
G. U8 W$ n3 K4 q7 c: mto setup-plot36 {5 v7 x& n% r) h
* A, @% j3 h, Oset-current-plot "Trends-of-credibility"
9 Q8 M/ a% q% Z
, s6 S% o( q/ ?" m' o2 J K$ ~/ Mset-plot-x-range 0 xmax
: I: y1 r9 t; p, y& K
* E3 v7 k( B9 _& E- gset-plot-y-range 0.0 ymax
- B2 Q1 }" L/ p- Gend
r. k9 ^, K U3 R$ t$ W% n# h U1 J4 K) T, G
to do-plots, b- p+ ]3 E: F0 i9 V
set-current-plot "Trends-of-Local-reputation") B$ ` x& W& O& Q( Y
set-current-plot-pen "Honest service") d Q8 E" c3 u
end
) `. I* u, F2 e% q& A( V7 m& i: O2 e' ?' _5 x5 P6 p+ k0 n
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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