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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& i6 `' C2 \7 q
globals[: H! j; i s3 m7 h8 | i
xmax
6 o% r2 H' U, [" f" Vymax/ H$ k+ u: p# ~4 N4 Y z' t
global-reputation-list8 W! j3 ^; D) B/ Q
! R& l% S0 Y- x; V;;每一个turtle的全局声誉都存在此LIST中" V' O7 \% `8 t- V7 F! O
credibility-list7 T7 m4 _/ a9 b& a) w
;;每一个turtle的评价可信度
4 j! A2 J4 @$ shonest-service/ {$ a$ J% m, p+ |& N
unhonest-service
% G5 x7 \1 u' h1 V$ Qoscillation6 I1 n4 \. z _# \ m5 P2 n9 ^: f2 _" y
rand-dynamic
# f- o/ W) h6 b) ]]
1 \; X0 [! _7 y; T& p+ j8 A0 a( m4 j( Q9 P+ R! w; ]2 Z
turtles-own[
/ K7 U* S. r: v- F: Htrade-record-all
+ \$ O" v0 N/ V. z2 M% v;;a list of lists,由trade-record-one组成
M9 A: u- G7 z y4 }6 xtrade-record-one
& D! B1 N% S$ e, Q+ W& \7 \- b;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
, }8 \) l* }0 J# _
/ d [3 }* l/ K) O3 W+ ?/ P;;[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]]
! T C9 n( A; K7 h3 Strade-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]
, K" r A3 m/ 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list
$ R3 w* g, x' [& z' `9 ineighbor-total8 X. `& M1 |: N- u8 `( l& y% X7 w6 E
;;记录该turtle的邻居节点的数目
6 S# F& {1 H2 s3 S4 itrade-time
& \3 p& W q# ~$ R- |9 F;;当前发生交易的turtle的交易时间
) g8 z6 @7 n4 r: Gappraise-give
# w+ d0 J" `4 L) {9 \;;当前发生交易时给出的评价: P& p. z0 C. p4 q Y: | b
appraise-receive# G/ F! ^2 M. F6 b Y. P% Z2 W3 G
;;当前发生交易时收到的评价
4 k k& X/ @9 b% ^$ Tappraise-time
7 l+ ~8 _5 {- c3 f) c$ B; P4 U;;当前发生交易时的评价时间
! {$ R% @$ ?, O. V9 Olocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
& N% [0 y o. r0 I" _trade-times-total: ]; M% H5 B8 J R+ e" g- J
;;与当前turtle的交易总次数% t* q' a6 J F: J+ @* X4 c
trade-money-total
+ ~1 H( f2 u) o;;与当前turtle的交易总金额9 g- c& u+ Z: ^' z* j- P2 M0 o
local-reputation
2 j! P5 {+ y/ c; z/ u, r4 |global-reputation+ S8 v3 ~3 ~, W: p
credibility/ l7 B2 A2 z4 E+ Z- p
;;评价可信度,每次交易后都需要更新
0 B* I" y5 V' pcredibility-all
! z' ~- h; `- x$ E' u;;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! B( q, R) v. o! u3 U5 ~
8 n, Y/ ^6 X: t3 m2 } W+ r" u
;;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, R- W) \0 d' G9 D1 v
credibility-one
. h; {: d7 K; ]. b* y;;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 N1 ~6 }; S! k8 N
global-proportion# I% |5 z* ^! j, n( Q
customer1 { C; g+ F1 L, d k* R# k
customer-no
5 ^& _$ _9 \ f$ jtrust-ok% i$ s8 U4 V- B; @/ q
trade-record-one-len;;trade-record-one的长度0 W& G% ?& e$ k G q+ Z
]: w/ I' L# k$ T, t6 ]
/ W7 S$ W& I: S) C: O6 n& ^' e# C5 D3 t
;;setup procedure6 g8 u& S+ U# }/ D/ [( @- S
4 T0 C( D" ^# W$ M/ Z3 o# h
to setup. Z, ^: f3 U- [8 Z# V4 J9 T
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ca: B D' n/ n/ A) z1 d% `: B' g6 b
$ Y( t& c/ t+ W0 i: d6 s/ Zinitialize-settings5 `- v8 |0 x& M+ m* \2 L
8 p4 q0 e' T5 i- c( _. @$ }
crt people [setup-turtles]
V8 O. I& r! l
6 Z% Q' j% ?, b: l5 t3 E2 {reset-timer
% X/ E6 i& I* \/ }4 [# k
& i5 Q/ e+ K L( m: b4 c1 A3 s" b( f/ [4 ppoll-class4 ^' V0 g9 |3 G) ~4 Z
# ?: A) G+ U+ z; j4 v
setup-plots. G, a2 O9 j; `
% U% ?% w: y- R7 Q |/ U
do-plots2 F0 {0 x9 r5 }* V& M
end' \* L! B$ z0 E( O! q: C2 x& X
, `8 @3 V7 b3 [8 C6 k/ j+ I5 Lto initialize-settings" L- j0 p" w1 h1 ?* N" Q) m/ V
' w1 ^* [/ D0 ^$ l* v. _
set global-reputation-list []
9 t y4 ~5 V+ I7 G* T3 d# k' k) [" ~3 ^) F" C- u% N$ O' a a
set credibility-list n-values people [0.5]
4 U% j5 q0 x2 V# k7 D \& n! t- B* I6 e r/ X
set honest-service 0( h' i: }/ n8 `
* D" ^9 Z; `/ p6 C3 d9 _
set unhonest-service 0
' t! R) Q9 t4 i5 j
# k( ~+ J7 A; E; S& F% p5 Eset oscillation 06 k+ q% a. }* c$ z- b* L
" o2 {; D4 N& U! a7 Hset rand-dynamic 0
- \* C4 d; L' j/ F, y1 O$ Jend+ {/ g9 a' h9 b
/ f$ v! K: C0 `, n' C
to setup-turtles " z2 d4 I2 j1 Z" L
set shape "person"' p# Q: M" s: r' p5 d5 y
setxy random-xcor random-ycor
, ]2 t4 X% u7 |7 S: f5 l+ Dset trade-record-one []
; B: s4 T/ [5 X( A& R7 W1 S$ @ u9 W) `- c+ }
set trade-record-all n-values people [(list (? + 1) 0 0)]
, u+ |: T1 a. T1 n& f3 v8 u( {; X* }! T( |
set trade-record-current []
; c# r, `3 a; |- Oset credibility-receive []) |9 w# `5 s/ V. P/ F' d" d) }/ A
set local-reputation 0.5* i6 W, t/ \; e; N; D0 ^
set neighbor-total 0
0 _+ X6 @. H& |set trade-times-total 06 U$ }* r; Q8 R3 h/ D
set trade-money-total 0
6 R! m G3 c# [8 ^/ V' x2 N3 Cset customer nobody0 |0 V; G7 ~% b
set credibility-all n-values people [creat-credibility]$ |3 \+ O4 @8 }# F9 l7 U9 q
set credibility n-values people [-1]+ B4 u ^+ a4 c) d. ~% X
get-color7 n2 c2 u1 d4 p7 J9 q8 o1 ]7 Z
* [% b9 ~4 O% Z. C; m" C
end0 J# H6 n0 q# V* u% |
9 w* B/ U- L$ P c7 ito-report creat-credibility. Y" V- x) e% d4 E9 h) S1 @
report n-values people [0.5]
( K* N( ?" e& z( J0 Oend
. X" ^9 m+ r+ ]( U8 D$ B4 x4 j; d6 j7 X; v: s
to setup-plots6 Y- @" t' ?1 v
9 p" y) y- F5 d4 a: L. B9 mset xmax 30/ {) w/ j* s' e" w5 v2 q
+ i! d4 \& j1 N7 v
set ymax 1.0, G; k' P) P' h8 i' }- h) S
9 [/ A- P; `' e$ d1 K0 _6 t5 ]. `2 kclear-all-plots0 w: |% q W; x4 q" u v$ F9 C
) P H) J0 Q+ S) E% ~6 V' m7 G
setup-plot1
1 S$ A2 |& R) ~1 k
& l6 G8 L5 r6 K2 O6 h) Asetup-plot2
# m m0 \3 }0 S5 E7 Z1 V2 R& o6 u9 ^( n" U+ M- O
setup-plot34 X3 |4 \0 N0 N4 p
end
2 O8 x2 h+ X) {# V' ], X% i. o, `$ l S5 L
;;run time procedures2 W5 g! l# }: ^7 @% R' u
! S1 W) O7 k& x! v6 x: x3 Vto go* L7 b5 K3 y7 ?9 d- N) H# w4 t
5 C; }) p( E4 [! v5 q2 L3 `
ask turtles [do-business]
* P9 o- B& S# s+ k" E5 P8 G3 m) [end4 K V0 O6 P( e8 T9 E! U0 Q( u9 y
! L3 d* Y7 z4 U( C+ i* u
to do-business
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" G9 z# r% _0 h( T
& ]% l. t# @1 ]& u; @rt random 360) B4 G/ p) L, V" j
# L9 A8 W6 a. h5 Wfd 1
4 `5 {) _. g, R1 P: L+ p8 ?3 \1 M' c; A
, [1 {6 t% g* P8 a* Lifelse(other turtles-here != nobody)[. v" V! s i4 M, J
. A" C6 t, D) J" M
set customer one-of other turtles-here8 b. P/ j6 g! b- v: g
% V% L6 c3 M6 t& l N+ L. A;; set [customer] of customer myself9 f, E0 B. h: d+ _& y/ z# s
9 c {1 S* K' p3 k
set [trade-record-one] of self item (([who] of customer) - 1)5 V; l: Z; z; Q. m8 G) j9 `+ O
[trade-record-all]of self. ~3 j0 b, B, T: O4 s9 T
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self3 z+ _ c3 a3 j: |
3 t$ k6 E% m9 x7 S. w1 G/ j3 C
set [trade-record-one] of customer item (([who] of self) - 1)
7 I0 V# U, l& l1 I[trade-record-all]of customer8 ^7 N& b# j7 j$ }% O8 z8 F6 B
: U0 B8 ~ k8 e+ l
set [trade-record-one-len] of self length [trade-record-one] of self
, L, D# K Y: p4 d3 i4 @+ k3 _. U5 i1 |/ _7 k9 b& i/ m
set trade-record-current( list (timer) (random money-upper-limit))
% b3 R! Q9 O- G4 f- w; B5 i x, F( g2 Z
ask self [do-trust]# _3 R& C u' n5 ^; M7 G/ L3 x
;;先求i对j的信任度1 s8 k+ C# W. o4 [
8 W9 D. m+ Z& K5 T0 ^8 R4 ^if ([trust-ok] of self)
! u' V4 i& V# X% C5 |8 H;;根据i对j的信任度来决定是否与j进行交易[. ~- l8 c* X) [& u: c9 E6 z
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself/ L [2 O8 r5 y. `+ L2 I
1 x; B; E; w+ o0 e4 W
[0 s8 S4 [$ w# S- w) g4 N, N5 C
4 W6 Z% Q( ?$ S. O3 O0 ~$ F! ldo-trade
; X% e; z; c4 e' l+ o7 W( X; I) h8 J' k
update-credibility-ijl
- O2 G" N# g" x- k: x x1 g( S0 @, z% ?/ n: G' }" T) H, l3 y* s. s
update-credibility-list1 @# D' o) Y1 v0 b5 j' z6 a% l
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& u% Z* {, Y0 V; T) d$ g0 k
update-global-reputation-list
) p7 \$ _+ f% e e' t1 K1 b5 h5 N; M- |) s& z; Y1 }9 E- `
poll-class
$ r, f1 I, C& [. P2 ?7 c; q3 N' p" B* M; U
get-color
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1 ~; h2 d% v3 n+ G7 W]]# I3 v- {$ w3 C( P8 m( }" a
0 v) B$ v$ g8 s) ?+ z;;如果所得的信任度满足条件,则进行交易# u4 ^& K; z4 J5 N% g6 J# V2 A+ J
* K, z, P) o' n( g[& T8 U ~1 J/ t
4 w, T( W0 e7 r7 Z8 d3 R! drt random 360" U5 D5 f% Z6 K! A+ m3 \0 K
( v4 u- B. I* Q4 [
fd 1
" T$ J# L- D. i' J/ q! w# X
0 i$ `* J: C5 K4 p- l) k: l], Q# A% q c5 Y9 ^
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end8 x7 e7 F9 w% o
) a% p% A! | U6 vto do-trust 6 O. M- e$ P' a) m* E/ p
set trust-ok False% T6 M W6 ] v D
; V" U2 N3 p9 |* D" @5 R6 _+ M. Z9 w* |
let max-trade-times 0
" c; P# r9 Q$ M- G/ E1 Dforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]' V6 t% T/ P* b+ Y& R& R4 [3 e) p
let max-trade-money 0& P" i3 Y+ @! J
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
, L- [) T" ?5 d$ ]0 Zlet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))- O) e$ ~) F2 \! F
! q1 B4 C: ~. T4 G& h" W4 Z5 ]9 Z
) {7 G$ G0 v: B3 r. n- C6 z+ y
get-global-proportion
; R6 |. l& m5 P3 a* Z) D: ylet trust-value
1 S* v' v6 H. ]5 k: c; L' A# Alocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)' D, g7 D4 B6 x4 v8 b
if(trust-value > trade-trust-value)
! j6 O1 J/ K3 A6 G! k+ J2 F[set trust-ok true]( r& Z7 R2 B ~* p$ Q& d$ F, S
end/ L' p. G/ P. {6 n& {
@) _. p6 Q' }/ y1 @' L9 x0 x3 ^to get-global-proportion
& p8 S, [: N! l" Tifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)* M4 J2 G& m! y7 o8 _6 b
[set global-proportion 0]
0 _& ] I7 \) p: {" |8 p) \[let i 0# o/ g& o- x* o
let sum-money 0- X) P& A- V+ K* b J7 z
while[ i < people]* s" @/ ?4 Q) A$ a
[% j& o, { w. I. ?6 } C
if( length (item i5 _3 w7 ^. T" B" O/ o( I
[trade-record-all] of customer) > 3 )& `$ i/ ]5 j! T0 S
[7 {2 q5 e5 f& C. K+ s0 f
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
) ~* u, ? ^* Z( H: a+ H) K]
) y1 v1 k, b9 F]4 r9 o- U/ m. u" `# l
let j 0
# U7 g! E! b1 x, Jlet note 0" V! D( i( c- F s) _0 x% {
while[ j < people]! V; L6 k0 }7 @' s0 e) Q1 A1 ^
[/ D# L5 Y5 f$ Z- i; }( G1 a# L
if( length (item i9 [6 @9 J6 C( ?; S! e- I/ ^0 g5 c! o
[trade-record-all] of customer) > 3 )
& W: x+ n. N$ H# A3 T[
! G3 G! L K3 g# T! V6 Z9 j# m Fifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
! H/ k' e% M8 d; X& v) ~[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
; g# L6 ]' G* Q- L7 F! P[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
" Y6 U4 i" M6 J! D# g]$ e* f4 f3 W3 h' e9 O# h
]' e7 {5 ~. D* Y& ]/ W
set global-proportion note5 z# t7 ?3 I2 f+ B1 g; B) U' X
]" |$ s# k6 X& t2 O" B$ T- U
end
( p8 `, B5 [5 x1 I, [& l2 `
* V5 }/ u& v5 G( ?- W9 i+ pto do-trade
/ k* \! w9 D4 w6 s$ E;;这个过程实际上是给双方作出评价的过程8 I$ M- m F1 K
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
: H' u+ Z2 F/ Y* \$ k( Bset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
* F1 N/ t, N$ X7 c0 V# K0 `- e" mset trade-record-current lput(timer) trade-record-current
, |1 o! i8 u6 {;;评价时间
4 r, ?) p3 x4 T2 x! \ask myself [
2 f& m! g- ~+ d6 z, tupdate-local-reputation) ?+ z% `' _; R4 N0 q1 m- n7 H' k/ k& @! P
set trade-record-current lput([local-reputation] of myself) trade-record-current
4 C( \8 ^! S2 ^* x3 o7 p2 S]
- b f$ P; b9 ^* ?set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself0 R3 F3 o: O1 ~* U9 V' m' P5 S
;;将此次交易的记录加入到trade-record-one中' Y# I* y2 X3 p. N" G
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
N) Z) z; T9 F8 E( \+ ?3 glet note (item 2 trade-record-current )6 B1 N, k# Y2 n" O" ~% U* T* z. S! w c
set trade-record-current
$ q+ L4 t$ V. J$ q/ _(replace-item 2 trade-record-current (item 3 trade-record-current))( Z7 T9 Y* b' L0 W8 j2 E; a0 C
set trade-record-current) f' p3 M! w# _; p
(replace-item 3 trade-record-current note)
4 `; O# ? ^9 r1 S1 W- J
Q" J1 Q! V" _7 K6 G" I& r4 F+ n) @ ^ I
ask customer [
g. s, j% T% q# X9 ]$ {5 Aupdate-local-reputation1 j( c4 o) R/ ?6 F1 q
set trade-record-current2 y& c' L( s+ f8 q6 Q5 t
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) 4 B+ G+ I- W3 I" n/ t1 C
]
) x3 d, a9 j; ~' U8 j( p
" T) V, L! \" @& g, R* ^* j v6 B2 ?
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
) h6 w3 F4 m) Z) g; F5 ?. n7 Q, j, C, F; \% ?) }, L' c
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer)): U( B- c5 X: M6 a
;;将此次交易的记录加入到customer的trade-record-all中+ d) A% D. J1 T( f/ Y1 x7 G8 k
end
, @& ?5 x, J Y: q" `0 X
& o3 d8 [/ S) q8 x6 I$ M9 C4 @( _to update-local-reputation
' O7 g, I9 T5 i+ t0 @set [trade-record-one-len] of myself length [trade-record-one] of myself3 a( e# t H. S8 d1 N8 I. m
: s( u7 _' f- L) |
9 U! R/ T2 Q$ A2 |0 h9 v;;if [trade-record-one-len] of myself > 3 7 {2 i+ z4 T# R3 D4 D
update-neighbor-total
, m* m1 m# l3 r: R4 G+ z;;更新邻居节点的数目,在此进行
$ \& Y# B/ A9 wlet i 3
/ X) F) R7 ?- A8 A; Clet sum-time 03 @/ n& [2 l0 U( n. u. ?% l
while[i < [trade-record-one-len] of myself]
/ {, F' z- [" h$ B* \$ `$ P" y! J3 z& w[
. h" s5 C+ Z* ]set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
5 s3 c1 I% o2 O, v% I8 I( x; I" W. Uset i
! z+ E' r8 X5 U# O7 ^ J( i + 1)
* N5 v: R' V8 j4 _: A( w0 G! d]
! h0 {. ]: ~! x) rlet j 3
" _+ D/ @- a# I/ B; v: ^( c, olet sum-money 0
) y2 d1 A: V; G$ O: S" mwhile[j < [trade-record-one-len] of myself]
. w2 W T( E- C; U( q[7 }+ A$ a0 Q( h& e
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)0 p: C! A$ d2 h8 \
set j0 t7 l; w9 w4 D5 i
( j + 1)2 ^% `5 g/ L; p+ f1 b; G
]
/ H! e6 ^* ]) slet k 32 w' B+ q+ h; v! K W" ~4 W
let power 05 P/ v1 E7 ]# J& r
let local 0
4 J! ~6 j! W8 I$ k% Y+ T: |while [k <[trade-record-one-len] of myself]+ C" ~ L+ B0 F0 ?) P$ x' n+ w; h- ^
[$ c% `; U! K2 G
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)
) d" `7 Y# M7 M% Y4 e) Kset k (k + 1)
- V( j' K" L0 s* A% |% W9 l]. z8 V$ B3 z' z: K9 B; W# \
set [local-reputation] of myself (local)
+ V" @) e0 \# J# l4 H% ~: ^3 Fend' v( p+ x/ {4 j+ c
7 e0 T* h. v* q" \$ Y
to update-neighbor-total
, F# c) O( G; ?, B' O
. ^6 R0 T# P6 C9 ^0 F. Qif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]8 z& e( b' E7 D" g
9 w; t' r) n# M" d" J
& h# L1 `6 Z6 r; Tend7 M, r2 Z) d2 G- q- V& p
5 i- ]$ V7 X5 U/ {7 P: U) w2 f
to update-credibility-ijl
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! a+ P; V$ _, V) v+ 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。
0 g, s; A, f1 T+ g' x3 C; mlet l 0# h- f6 D* ~! W) \: T6 G* U* }
while[ l < people ]
. k. h J$ y) @, H3 n% T! _; b! h;;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)# D& R( A& M$ G% b2 `
if (trade-record-one-j-l-len > 3)9 Q5 R1 v0 a6 Q9 n/ a7 w
[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) ` Y4 M* X% B3 Y
let i 30 }* ~# L6 e- j
let sum-time 0* O! H; u6 q/ R
while[i < trade-record-one-len]
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* A% }& w% ]1 ^5 k; Dset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
* |. [9 |0 P% _" Uset i5 o& B! U8 W9 v* ]7 x/ y$ X9 j# Y
( i + 1)
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8 e; a9 Y3 M6 d2 F% k& B" w0 X5 [let credibility-i-j-l 0
7 ~6 M4 _6 e% w& H5 A;;i评价(j对jl的评价)
* C9 ^0 t$ ?. z( W9 Flet j 3
$ z7 Z) Z8 q% `' p. H# {6 Glet k 4
) F# `% |; e9 w) q3 g7 Gwhile[j < trade-record-one-len]
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+ m F a' p+ O' v/ S3 r+ Pwhile [((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
/ T3 O) |+ U1 k: o! H8 @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)0 {5 `" z& e; k+ M5 T8 a9 c7 O, T
set j
. I6 ^) J, n" z. Z( @$ x+ w* n( j + 1)
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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 )) K3 h, P8 |2 Y% C' O8 ]/ x, {
# [9 B$ O$ F' @+ n6 n; u! ]
7 r7 V; O {2 B) b- Z, L" blet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
7 A4 h. k+ L9 k8 f3 E2 B. x;;及时更新i对l的评价质量的评价4 X0 j7 L6 [9 \9 u8 J0 [& t$ l
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
- L$ J0 }3 U. r" {set l (l + 1)
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to update-credibility-list
6 e4 N' X. Y0 d4 c% zlet i 09 k! G. Q$ B7 S7 H
while[i < people]0 H. W7 w6 [8 o8 D2 H
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let j 0
6 W3 M# ^5 [. A" llet note 0( b6 v/ x' x3 M8 N: c, u
let k 0
* f5 R3 S" U7 ]( [' L x;;计作出过评价的邻居节点的数目" [9 y* g5 [. n* g' T* V
while[j < people]" S0 \) u+ i7 k6 N0 ~
[
; f) o% Q5 {# q9 _- l: W7 `if (item j( [credibility] of turtle (i + 1)) != -1)
; c/ ~' [, ^+ p2 v1 |7 ^$ v;;判断是否给本turtle的评价质量做出过评价的节点
9 E" R+ V' O' ?; z7 Y* H; O: r0 J[set note (note + item j ([credibility]of turtle (i + 1)))1 g: l/ }+ V }7 t, Q
;;*(exp (-(people - 2)))/(people - 2))]
, I# a6 ^9 X1 P! }set k (k + 1)
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set j (j + 1)
+ E0 P1 t* o! }9 v; e$ e]
6 `& R% _7 P* |2 Gset note (note *(exp (- (1 / k)))/ k)# K) y8 q' [+ B2 R: e9 {% n
set credibility-list (replace-item i credibility-list note)
( u7 _. Q% O2 ?) pset i (i + 1)4 z7 L6 y: e( Z4 {
]
. ]0 N$ R: E- T9 e" b/ `- J6 t hend
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to update-global-reputation-list4 }3 E1 p- I/ Q; i
let j 0
2 R9 ?. I4 h) t1 h) Awhile[j < people]
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let new 0) _, ]- a: y, K9 g! ~2 E8 J+ S
;;暂存新的一个全局声誉1 F4 }2 i) h4 M
let i 0/ _8 }7 g$ x+ Z0 \* v
let sum-money 0, }5 ^& j6 n/ G8 Q- p5 x
let credibility-money 0# h: h- \) x. U2 }
while [i < people]
0 {# y* [6 f) Z2 Q' q: N[) n6 O6 H4 q1 b& h% C: H0 h& J& Y
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))8 D1 H& g4 S, \" A6 l* k, l
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))2 W) b) y$ }, ]
set i (i + 1)/ H& h4 _8 k6 K+ \% x4 t5 H
]
% }& u0 c3 W, T6 Dlet k 02 G: _7 _* `: D$ q, `
let new1 03 }( h+ l7 d* Y
while [k < people]
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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)
& @) c2 d" a& Q7 xset k (k + 1)
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set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) , ^% Y; N0 r& H( D0 L
set global-reputation-list (replace-item j global-reputation-list new)
2 d2 R8 i' N. D" S% V, s4 mset j (j + 1)0 I- s, R3 N* \" Q
]
3 r9 ^. N0 ^9 V$ [; H$ c- oend E7 t# d7 c" N7 Q+ W7 e
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to get-color
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set color blue
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3 r2 Q1 e& I& W3 O: Jto poll-class
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to setup-plot1/ X' M$ G7 e( |
6 q" f8 Z2 J$ P3 q" pset-current-plot "Trends-of-Local-reputation"
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. n7 U( L" G- W- sset-plot-x-range 0 xmax4 Q3 {/ C8 ]* b g! C- f
( @3 r! c/ }5 c6 O5 H4 c( P( Tset-plot-y-range 0.0 ymax
! H3 W; P3 K- }0 K, W$ \end
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to setup-plot2/ [ O, b$ D7 n3 g+ l2 A
% i1 I3 Q2 L; A0 lset-current-plot "Trends-of-global-reputation" o$ h! w) A: t+ v2 X0 A
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set-plot-x-range 0 xmax. ]4 B6 V! E) _8 J1 T. V& u
$ e5 u ^) \& K1 N6 z% z8 _
set-plot-y-range 0.0 ymax
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" t# t, e, {3 _
to setup-plot3
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/ M' J$ n( I4 Nset-current-plot "Trends-of-credibility"
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- ^+ |4 l! `& ?) d8 I( J; ~set-plot-x-range 0 xmax9 T* ~- z2 ]2 K! ~
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set-plot-y-range 0.0 ymax
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+ z3 P; C/ p# q# y4 U3 M/ I
to do-plots
P9 r* R1 ]# L/ D1 F. rset-current-plot "Trends-of-Local-reputation"( L( [ F( W4 l+ d7 f2 W! F. n! D0 g$ b
set-current-plot-pen "Honest service"
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[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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