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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
5 r# h, b7 Y' ~' I" M- Iglobals[9 {* ?/ j. {- T* u1 q
xmax
$ K3 X( n; E/ P/ W" z) f/ z6 a; eymax
0 c# G2 c# [9 x5 ?global-reputation-list
: \. F3 i/ D. B9 B) T: {/ x' c2 [% E5 } N' l
;;每一个turtle的全局声誉都存在此LIST中
; k2 Y: ?! F( Y3 X$ l( Pcredibility-list* v/ d+ O. }0 q2 b& D" f
;;每一个turtle的评价可信度! k- b3 R, f3 x' o# Y- _, I2 [0 T
honest-service/ z( Z4 v" p0 J
unhonest-service T7 ?* C' M7 m" I& Z, p' R/ A! Y
oscillation6 J2 f4 C5 Y1 ~! l% ^" G. V
rand-dynamic
- h$ y9 E# {( m) U) p8 ^]
/ f6 g2 q S* j
0 Q1 s4 H+ ]1 M& u& K7 u4 @turtles-own[
& q0 q# }; Q2 a* Rtrade-record-all% q0 ?- n: S. Y
;;a list of lists,由trade-record-one组成; r& k. @" `' f
trade-record-one
8 H4 N* o2 A2 Z& q$ K! p9 P;;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 }+ S7 U2 c; |. G* V( Q S
, x" ^" N, Q9 O* k% F j& j2 s5 ~;;[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]]
" y* ~+ S! V/ H+ K6 itrade-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]; x2 A' w5 E' ?5 J: r% d
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
" S" w: F2 A2 P- h- O4 A, P7 F3 W: qneighbor-total5 n% v/ S& \6 ?( ^. q$ e0 J
;;记录该turtle的邻居节点的数目% F6 E' a1 W H2 @& s- d+ ^
trade-time
8 Y t1 e0 H0 n# ^% b+ F;;当前发生交易的turtle的交易时间9 V. H) {+ i% |$ i1 S
appraise-give0 X. C V7 T; E
;;当前发生交易时给出的评价
; F$ O. d9 V: p. {3 u# [appraise-receive
( R% ?, E5 h# z" ?;;当前发生交易时收到的评价
) d7 \$ M- x( u( f5 `1 V6 }appraise-time, x7 X" C5 C" t) ]
;;当前发生交易时的评价时间. K& B! k9 b6 c& Z3 X6 S6 j
local-reputation-now;;此次交易后相对于对方turtle的局部声誉
r% ]3 A6 P! ]! H M/ D3 q+ V* s; gtrade-times-total
, h% ^' X9 G6 n, X! s;;与当前turtle的交易总次数
$ Y% m3 f" Y* q3 x8 z+ Otrade-money-total
$ h6 n, y7 B, q5 R# |: R1 s% z3 ?;;与当前turtle的交易总金额
7 C8 o9 T" {+ u( W2 l3 i+ ^local-reputation
" @) C9 E6 O8 } D4 Jglobal-reputation0 o& n& f; r0 W$ P9 a9 k8 ~6 D0 C
credibility8 F6 }& J5 ~3 O* |( B
;;评价可信度,每次交易后都需要更新
) Y! O) {$ Q8 P) ? ^' kcredibility-all
1 n, x' p9 |3 K M. T;;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. Z7 ]; {! K) v* c e' n
8 x `5 z& W/ O; S& N: Z7 r;;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) `+ P4 |" q/ D# l& F
credibility-one# u. u2 {0 z6 m% K
;;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4 Y0 J) A$ F, d- s8 Q, d; P
global-proportion
: T0 J* `; h' v1 h7 I# hcustomer P9 Y2 X8 J9 f3 e
customer-no" m! V/ J8 G! d2 o6 ]
trust-ok
% g# @6 V, g+ R' P B; Vtrade-record-one-len;;trade-record-one的长度
, c6 Q7 B5 w# A; Z* \# R' j]+ H* c) ]. _$ r0 B
) Y3 q4 }$ q$ z; _0 I; u;;setup procedure" {/ L5 e1 v5 j6 u& a1 y
; j4 N' }, |5 b# S* d
to setup3 c. ^- i/ G9 _; N$ r4 C1 g
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ca, a8 l* G& S$ \
; R, |& @+ R9 R, M3 u
initialize-settings
7 G: `8 f6 `3 b+ K$ f& G: _9 I; j" V. T- A' c
crt people [setup-turtles]
% Z/ u7 m% h, {
$ p; p0 c' _; P9 Z8 X; g3 sreset-timer
/ r; C! `5 ?" K8 G! k7 C
: m& p& A j' i( t% ` ]' s8 B. Hpoll-class6 d4 F1 W! a9 S& V
0 s- T7 x, W$ gsetup-plots- c+ H6 V1 [: c4 e
) U1 s, {: V$ i2 j: V0 a2 W& Z
do-plots
8 j5 k5 Q$ I9 Z5 L0 N& F/ C+ Iend5 U2 s& x4 K! O% O- U1 ?
: }0 m1 Q* l: bto initialize-settings
+ `% C$ q* l; l9 \! r9 i Z K8 H; z6 h/ h% k
set global-reputation-list []
" y3 O: h Z& T4 p7 k6 Q% W$ p U* j: Q- k& t# T, L, t3 `
set credibility-list n-values people [0.5]
0 X! E5 H. @4 D+ v) W& f( ^8 D: l! }+ L% _
set honest-service 0
- n6 y/ u) t% y# g: ]2 o
8 m9 J, n3 L& Y5 ?2 h5 sset unhonest-service 0" a! q5 s0 B0 f( {2 X2 ?2 f |8 l4 P
3 ~1 h+ B" D6 U, dset oscillation 01 @( w9 F* ?2 o
5 j0 G ~, E0 f
set rand-dynamic 0/ S( n0 T+ Y6 F# ^# @0 o0 ~$ z+ D7 t0 d- @
end
: l0 N4 ^1 ~ Y) d& W" @& W& o. y( F- R! I
to setup-turtles 8 Z) d/ s, Y; o: D% ^
set shape "person"
; ^+ s& l- _- ^3 \setxy random-xcor random-ycor
8 O* U) B1 W5 D( N6 M3 Jset trade-record-one []
$ a6 X( R1 B1 U2 v* ?0 r, m* u" c: m- k4 l$ J# }
set trade-record-all n-values people [(list (? + 1) 0 0)]
! _% p+ K) x; [- f
& y7 \& h* u7 U2 oset trade-record-current [], k& e- |4 n& r$ ~9 {
set credibility-receive [] j7 x/ ?5 z% `( O' Z" j
set local-reputation 0.5& S( }6 d# l- w& H( j
set neighbor-total 06 K. W7 V, U1 T7 ~% D+ ?6 B
set trade-times-total 09 B: o2 x, \8 ?3 H; n: H, a) ^7 K
set trade-money-total 0
5 M) s. _+ p4 O& C* Jset customer nobody
6 u- [# H9 R0 Q7 ?set credibility-all n-values people [creat-credibility]
. Z8 o4 `! p' g" I+ E/ M, m: \set credibility n-values people [-1]
& D! a; W0 m2 X) dget-color
; q( c7 } H" k6 M/ X. V& D% V# d8 x7 A% u
end C: M# b; ]+ G" F( Q
9 ]1 y3 l/ l2 t0 b0 R* j
to-report creat-credibility; S8 A6 d# a- K/ g& N+ z: O
report n-values people [0.5]& d F$ Y* e4 n* o9 N9 k
end
c& c/ x" k' U( A5 k8 M) i9 V
, Q+ m7 S+ v$ r" rto setup-plots4 m# P( C* R' c. M
0 @+ v8 H: l# E7 x
set xmax 30 o s( G% ^' h D2 E
$ Z, H4 G: f1 P2 {/ J% ~- z
set ymax 1.0
0 I5 d2 `, O5 O- C. Q% O! H, g) y8 b' ]+ I8 O* T% l5 h3 h# T1 Z
clear-all-plots
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% P+ v& f( y5 Z8 X7 Qsetup-plot14 k' E5 C+ P, Q6 P
5 l& O4 @4 I/ y
setup-plot2! t( l [8 ]/ ^0 F; h5 r
0 I7 z7 h& j- F4 x7 j4 Csetup-plot3
8 Y6 n1 ?2 A7 B2 ^( ?6 uend
& ]) g5 K* f7 w0 B$ u& P! ~/ j! B; T$ ]8 @$ @, P! r! e, e
;;run time procedures
j$ w1 ]" |7 W( ^; I: n
8 x+ D: z" @, ?( wto go
M! l7 ~: e$ p: w# k" s; I+ A
! K9 }: v5 c# W6 R" U/ O' Nask turtles [do-business]
* @3 _0 r- p% P8 Pend
; ?5 @. ?* J; d. Q4 g
' u7 N1 g- k! n9 E3 qto do-business
% M3 Q' c# o) \- R2 X5 v I+ c! |( i# Y6 e4 U% M, J) i- f% d
2 a# Y" L4 W. T2 l, a% g/ Yrt random 360# T0 j ?7 ~% R8 ? d
! M8 J4 x; B6 O- n) _# ofd 1
3 d- z7 L& l; k/ z8 N2 c2 h
+ l8 U# b2 z5 V8 S2 Lifelse(other turtles-here != nobody)[0 k+ [0 S0 n- d( s W. Y
3 `7 w7 \; W4 Z) V9 G! r/ s
set customer one-of other turtles-here8 G' {& ^5 ^3 u) o$ U* Z
/ p1 X0 L) I" u/ N B/ Q% R;; set [customer] of customer myself
* I& j; B6 @2 h* |* c& ~# n3 Y8 n) C* z& e- _' ~3 a/ |1 {! X
set [trade-record-one] of self item (([who] of customer) - 1)
3 d/ C( \1 R7 K3 j; G/ i[trade-record-all]of self
3 S6 K o/ Y/ d; b+ s. f9 j;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
3 w7 J6 x% V+ _/ {3 o) }
2 ^" X3 P' C0 v3 M7 ~& Fset [trade-record-one] of customer item (([who] of self) - 1)7 ]: R, N1 P% u
[trade-record-all]of customer8 [2 |3 O/ l+ H$ ]5 t) W& k
5 @3 c4 t# [0 |6 A! v: @set [trade-record-one-len] of self length [trade-record-one] of self& |# a4 B' v' a) f4 g
& j2 H2 L; u' g7 i- Y. ]8 Sset trade-record-current( list (timer) (random money-upper-limit))
/ N) K5 u6 m/ |- ]: C! |% C- Z# ~5 ]4 n% O- z
ask self [do-trust]
+ n1 {' U0 G4 q @2 {# K;;先求i对j的信任度
7 J: P: E4 ?, B0 C, H/ y; y
* o, O3 B, B: Q0 f2 xif ([trust-ok] of self)
8 w1 c8 M! X1 Y; ^7 [9 m; \: };;根据i对j的信任度来决定是否与j进行交易[
. h! o' M a1 B0 e1 gask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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2 G7 h1 Z1 d' f[
/ X$ t& Y p0 d7 F9 j2 Y# V" J. H* r* C1 n1 c7 N" s# N
do-trade
2 ~' G0 G3 I9 x, x( M2 p! @
, r, d: ?2 R. i% N1 `$ g: v W" Eupdate-credibility-ijl
3 Y: S6 A: r5 M; Y3 H: \* c) J
. S5 Q; Z% A# O& D6 O) s( vupdate-credibility-list
$ f0 V# `* ~6 {9 W' }0 y$ U; b; T) ~+ \" K5 [( u
7 b1 n+ s4 n5 d& C4 ]! A( N
update-global-reputation-list
. @2 k3 [* H9 O8 C4 Q) m
9 Z! Z* S' _& S G) U" Hpoll-class0 s/ }: l, w9 y+ i( ]$ P
5 X B3 Q5 [5 M3 T0 wget-color/ x0 _, t- m/ u3 ]
8 w% m! p% {/ i r) z) k* O4 T
]]
9 p5 z( h; q, A7 M; m8 n5 x( m8 z B
;;如果所得的信任度满足条件,则进行交易* S' e( \9 l: L) L3 `: Z5 b
, V" c' H/ B2 L$ P H' Q[
4 l" Q d* o. `' S* v8 U2 r0 m1 F w; b
rt random 360. | v5 C# j5 n# r
# d4 A0 x' @' C; v8 {fd 1! I9 `9 T5 v1 t
; Z4 b' g, f( e8 O" ^) P- j
]
. ~) x, K k1 s0 U. P7 L$ G/ e0 j+ f1 b9 v9 \, A- @
end
. A% T; {6 z4 G+ D5 ]9 s/ ^+ o& e, K" ]) U* G* F4 u; |) T! g* p
to do-trust
! J- G7 {7 e. F1 p- ]0 }set trust-ok False$ E3 X+ \+ D- h! B
3 i5 r& g4 t: {, k; \7 C
G$ z* I8 f# F7 I/ L- @+ o J( ]let max-trade-times 04 S; u! U: [3 j7 }8 k
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]3 D' S1 }$ i) s# ], s$ m4 @: N' R
let max-trade-money 0% U. b+ X& H9 F1 i, o
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
9 L5 c% k1 C$ e$ `1 Clet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))6 E6 I: R' X* Q7 ?1 G
9 y1 a' _- k* r1 _# g7 S# r# b/ r6 e
1 @3 x) x( e& z
get-global-proportion
+ e6 F5 |. t- f. k) F `, f7 ~let trust-value4 V5 n0 P0 Y1 q7 j; |* \6 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)
7 G: v# m @. ~- o1 s# U: Zif(trust-value > trade-trust-value)
5 n! L0 K# _/ q$ ]% ^[set trust-ok true]$ @, K4 [) Q( X0 P7 ?7 T
end( ^; h+ v$ S& Q, g4 W8 R7 n" ^
8 H5 A: U! q0 L& v& n: k
to get-global-proportion; W% O! r4 m/ K" i. C
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
- D* F$ {+ A; `. M0 _[set global-proportion 0]
* N* [% e( K: ^ K0 b: a' i0 [: w& S[let i 0
: R/ n0 Q0 {, O7 Clet sum-money 0
) J; h, R, d4 k+ w5 `while[ i < people]& P9 S* H: c+ z) p0 m$ T
[
1 E3 K( H. V* u4 G9 mif( length (item i
5 z" `' k- r0 T' Y3 d[trade-record-all] of customer) > 3 )- T$ F! U4 k- a6 F! U* m
[( f& a5 o% E( D) s' T1 m5 X' n I
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))+ k6 n! ?1 W, G# [' G3 n, x
], T) q) w; w$ A
]- k9 Q+ b/ ]+ f% D, A: H1 R5 Z
let j 0
7 p: j2 |1 {$ a$ x. alet note 0
" \3 M$ b" |+ p$ M& w7 b: l! ~ cwhile[ j < people]. A" m; q7 x5 y) W4 ]% w
[. t1 j& ^3 i6 y3 L7 K1 A" {# S. I
if( length (item i4 q. u9 n. _2 K) ~
[trade-record-all] of customer) > 3 )$ r* i& @6 Q+ ]7 c8 s% g
[6 r1 g* O8 r) [& d+ x. }
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
4 W6 @$ J8 A. x[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
3 ]9 x* o- K! E* Y3 x2 l[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]: R5 L+ r5 W6 I& W% a8 e
]0 k) Y, d, Q/ X y
]" I3 _- B. @, X' F2 Y0 z/ M
set global-proportion note& \" D* o( n4 s$ n+ p/ _- C. `
]/ D) J0 |8 j0 N) \' |0 L
end& w4 s4 K3 w- m# r L2 b% B
' F# Z; p5 {% ^$ w0 T" I8 jto do-trade
, }: K" o, I; x! m5 I/ i7 ]; s! A x;;这个过程实际上是给双方作出评价的过程! W* X; M4 q/ D4 L4 ?) d2 I
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价, B6 G7 k9 ^# J
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价" L% x F! u3 ^% c% T' ]' j3 z
set trade-record-current lput(timer) trade-record-current
3 y, e6 N) I5 K;;评价时间' K. U/ M0 O% }, A9 U
ask myself [
) f! {/ h8 [( V4 z T, {0 rupdate-local-reputation7 r/ _2 ]4 j6 }% ]) w8 e
set trade-record-current lput([local-reputation] of myself) trade-record-current
3 G- x' w; g1 [% o# l]$ `2 Y. D' F0 W) C; j0 B
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself# X5 `' `4 Q( c
;;将此次交易的记录加入到trade-record-one中
# @5 E# m! B& `set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
9 A( e6 ^5 _3 o6 v0 G7 D; Olet note (item 2 trade-record-current )
0 R+ Q+ j# Z! R9 W6 oset trade-record-current
- p+ G% a: K0 j0 \3 P(replace-item 2 trade-record-current (item 3 trade-record-current))+ I3 }! e3 {$ A A* g
set trade-record-current2 C. f8 o0 k# @0 C( S1 I
(replace-item 3 trade-record-current note)
6 b8 u9 K. N# v, ~( S' N& X0 T9 b9 Z3 ]5 k& d
2 P% q: A# I* T* k0 Iask customer [
! C* H: E; P1 Z: Y; O- Nupdate-local-reputation4 k4 }7 i4 T9 Y& a' p" s
set trade-record-current
2 O4 g6 d, N' \. Y(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
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! J6 I0 \ u+ D0 C! s
; R5 f6 x$ e$ Y0 v; Pset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer; [* u2 _" Z" a Y
2 _- ?, I& q; u0 s! Oset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
7 l0 ~9 E) `" t" b. ?8 o. }. S;;将此次交易的记录加入到customer的trade-record-all中( `0 N3 T/ d5 K" |6 ]( V
end
( i" X0 [; B$ D& J7 i' K
4 T% J% O. R+ S: a6 }to update-local-reputation
' M/ i1 S( O0 uset [trade-record-one-len] of myself length [trade-record-one] of myself' O* `9 g- E7 ~. M& d; v. v
/ x1 l) a3 z6 D0 {/ o% T2 D+ p6 T* a/ F \
;;if [trade-record-one-len] of myself > 3 ' g( Z( u9 v, t# h G- Q4 q
update-neighbor-total2 b2 k L/ }6 w* Z f
;;更新邻居节点的数目,在此进行
6 x8 I. k) F# F. X: Vlet i 32 T4 f3 {$ o( U( M
let sum-time 0" J6 s8 i' y8 h; c" X: [
while[i < [trade-record-one-len] of myself]
; e) M* R, Q) H) V5 L G! l[* |; F9 d1 A5 k2 m
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
2 ] o4 ~9 z) k& V4 Z& Eset i% o5 l8 g# H( j0 n0 s( a/ a
( i + 1)" A! W. l" O; p* d I
]
# _& O$ \! I# x; C) X% K8 ]) `let j 3' Z( m; U& ]9 F4 u- T- \ y
let sum-money 08 K& v# Z) A0 i8 r8 c2 P z/ s
while[j < [trade-record-one-len] of myself]
8 h, A$ w R4 o: V% y[
1 D) u- O& U8 w5 { }) g; Nset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)5 u/ C% ~+ u/ D* p5 P
set j$ q1 p2 _& v9 r& U$ Z" w" M8 h; s
( j + 1)
0 Z7 [3 m$ M5 c# x]2 c8 \, W( ^) ~7 K& }
let k 31 f4 U, Y$ V8 L2 R# A7 s$ v/ i: b4 P
let power 0
$ t8 _5 p% m/ E- S" F! qlet local 0* [# M3 R+ p7 M& p% _; s
while [k <[trade-record-one-len] of myself]
: \2 b* L/ n. |[
! a( k/ } m8 \8 A8 _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) $ v/ e8 C1 a$ g2 Z" i
set k (k + 1)- U# G9 L5 D' @" C( ^! s
]
- U/ ^! F! }2 X9 Q7 q1 j( _# n. jset [local-reputation] of myself (local): v: p; Z, j: l. C
end
: H( K. c3 \) N% W. e1 T
( M& |3 L, z* J* [8 S# R$ k: Bto update-neighbor-total x. |9 D5 F4 _* a
2 E7 H; q, N5 i) o
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]& S7 p- \# a0 D6 c: o' h" _
% T! T( o- k; x% g
s4 d( i* Q1 Z! b4 _end
v, D+ b: D& \
' n. K& M* p3 p+ hto update-credibility-ijl
/ Y, i9 b3 z" F) F( q: g: f" C J7 s
; A5 _0 p+ ?* ^) T;;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 c2 s& I/ A, g
let l 0
- O. Y* g) }. t" ?8 J0 Nwhile[ l < people ]; r: C; n" M9 t
;;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 P9 Y t- Q9 r0 p6 d[. h/ t0 B, O9 O: o0 g
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)# K2 ^ I% s( n: G' h8 G) N3 W
if (trade-record-one-j-l-len > 3)6 V9 f$ i7 L* J3 ^. D/ t$ [# H
[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-one8 `8 p6 K5 ~3 S" o, ^
let i 3
9 l, k5 j+ N1 U( `: flet sum-time 0! J7 e5 T" K) u. Z2 Q4 ^, n# j
while[i < trade-record-one-len]
! h% z: }# N3 s6 h* w[+ u( F1 }4 r) r) m9 j4 ?% ^* N
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
4 g+ z: I1 E0 s1 i- \9 P' Y8 zset i
3 w3 c& f! V a7 y1 t/ G0 C( i + 1)
( i( {6 [ q5 r6 f/ E3 r]
" O! W7 j# C8 D, @* Llet credibility-i-j-l 0$ U, [1 E* f: B* P4 }' E
;;i评价(j对jl的评价)
) X$ p8 @3 y7 k/ R9 u1 ylet j 3* t: Z: T6 K0 j- m1 `
let k 4
2 ^7 F1 p; o& y6 Q& t2 Z5 nwhile[j < trade-record-one-len]' {9 G \1 v8 V9 q/ d8 V& v
[7 M8 I, U$ C1 D$ L: f0 Y+ ^
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2 e2 F4 w1 L n2 Z0 K$ C) g
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); @' A, P" R7 {3 g
set j
^; t6 h( n7 g2 A" b( u( j + 1)/ W4 w* I. M# E, @1 Z0 i* ]$ B6 F2 u
]3 K; d, A6 T. b0 D1 s5 }9 m
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 ))8 I% x9 Y. m, f; }
& [/ ]) P2 v- Z4 R7 c( w% l. i
, `2 y$ c, s& i/ Flet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))$ `! c: J L S0 [! `
;;及时更新i对l的评价质量的评价
& M( T+ }( Y) @2 r6 l+ ^set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ], D P+ F# R W3 ^& {
set l (l + 1)
4 B. d" j6 f6 S x]
- ]% ?- H: `) d& F" R: X4 Xend
2 t, P1 p( F+ Z" M) f( z7 r( ]# V8 l; n0 i# C2 x! Q% C
to update-credibility-list
4 o. _8 v7 T- d* g& Vlet i 07 B* x" t, z! F6 v; [8 S% @
while[i < people]. |, z( u+ v4 V2 ^, K
[; d' g; ]' w* E. u' k
let j 0# L' n" Z1 k5 ~
let note 0
" a4 [* P4 H4 e; _let k 0
. J6 K" k- T3 C2 d s2 H8 t/ X;;计作出过评价的邻居节点的数目
( i2 d0 w$ u& G. l3 @8 vwhile[j < people]9 {6 P6 X) a$ x' D/ w% y+ I% q9 ^% Z
[$ ^* z* P3 J1 f i a
if (item j( [credibility] of turtle (i + 1)) != -1)
: Z5 r3 g" U4 @) p/ ];;判断是否给本turtle的评价质量做出过评价的节点6 k0 O& @0 e9 q9 x+ r! \' e
[set note (note + item j ([credibility]of turtle (i + 1)))
) Q7 s1 x9 a0 \. J& j;;*(exp (-(people - 2)))/(people - 2))]- o# A1 K4 p. s- V
set k (k + 1)( _9 X: y5 b* h4 @1 x! n% f
], U$ {( ~9 u+ k3 ~
set j (j + 1)
: d2 Z- S' A/ U2 r' T]1 \& J! P( E$ v. J: p) B: c2 p
set note (note *(exp (- (1 / k)))/ k)/ g2 @( x4 k4 n6 E1 f
set credibility-list (replace-item i credibility-list note)
+ x2 E& J4 c0 M- W; Xset i (i + 1)" S: y+ O& g: X# B
]
* d* J" [) \% g3 `( ]0 g, send
3 h$ W& \3 ?- j* ]% Z4 B9 y& [
; O' ]# T7 B& c* n7 D0 s$ vto update-global-reputation-list
. F7 p' A- Q5 o' I! y8 `, Klet j 0: c& Z9 D" J9 P p, o
while[j < people]4 G* K$ D; v" |2 F0 ?
[
, L( [5 V9 [" L6 ?. olet new 0
7 t/ h3 w6 i/ Q7 s;;暂存新的一个全局声誉
! W$ J; _. j5 Z/ O0 p$ F+ hlet i 06 A! x( B H: }. v# n
let sum-money 08 a# f& U& H/ {; q
let credibility-money 0
4 p$ m4 ~. z" S0 {+ dwhile [i < people]* u, b- m5 Y+ f* |
[
! U$ r6 P4 E6 S9 K3 h9 M5 rset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))# [$ e: {/ v/ f
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))( u e6 L( o$ c% @4 ]1 J9 a
set i (i + 1)9 c3 L3 A6 k, }4 M f3 J, ~% j9 E1 H
]
) T" o& {7 @7 _) f* j- ?; n7 jlet k 04 F) W# |; v9 C4 K& x, V
let new1 0
, i* V) ^% _. ^8 }- vwhile [k < people]" L7 D" f, c8 E) M `/ F* N% ]
[
! m& Y6 L3 w, E# r2 `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)
$ V8 @8 [1 _! L, sset k (k + 1); e$ a9 u D) ]
]
1 i' q/ ]: B( U1 X, k/ K2 Pset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
" q9 X3 W: c2 W" q& e& Sset global-reputation-list (replace-item j global-reputation-list new)
t" E% E9 ]! ]! l q- _! K \set j (j + 1)5 p; V- w& a' b. l! {& x# x
]
1 c6 X5 e5 D% o5 ?" r$ \end
7 e$ Z# R1 {+ Q% p/ W6 M. k! H
& Q4 _/ M. W$ c' R! S0 ?) P, c5 ]* Z, W3 n( r& z
( n8 X7 p% R0 W
to get-color' w( \* d4 }( k$ K
) O2 l0 _0 P& q5 jset color blue" V9 w! f. ?7 T0 ?
end4 ?( v' P% g' R' x
" S; t- ]; R& _5 e0 _) p
to poll-class
1 S; ^1 {" A) M+ G4 ^end3 G/ \! {. k; M% |+ {
1 z' K: Q6 f6 e. c. A8 E* q$ ?8 n
to setup-plot13 p. h k. z/ Y3 O( v' U
* z! d: t3 M& y, Zset-current-plot "Trends-of-Local-reputation"% [4 k! W* a% ]! d2 I
- v9 J: w& E7 i& F9 ]" W5 y) Q
set-plot-x-range 0 xmax4 Y% n9 i) ~6 c" ?, M
5 E* X. [3 {0 X+ Qset-plot-y-range 0.0 ymax
$ Z, \8 i' s7 F7 W# ^" rend
6 g5 i% l6 \( j& ?( }
( P' m9 t+ K/ G1 Y- y9 |2 mto setup-plot2) G' B) t7 a4 a+ f& i6 f
% e; l- @3 x. [" ]4 u% D9 dset-current-plot "Trends-of-global-reputation"
/ @2 T( H4 z, q$ L) s
5 m4 Z$ f/ x5 c9 e$ j+ Z4 Mset-plot-x-range 0 xmax
( ?2 \4 b1 @! ?% `, k1 K b: l) H2 H8 Y3 z# q
set-plot-y-range 0.0 ymax6 j* A# O$ ^: S2 a7 {
end
# u2 U, i5 K# b1 _, F( g2 o0 X; k- \- I; e8 Q
to setup-plot3
& n9 {% q; |( @* \6 c- G" |3 p9 l# j, H2 U& A
set-current-plot "Trends-of-credibility"
& b4 d0 t$ X+ Z0 c `/ t4 k: X" r; r3 T( m+ B0 I
set-plot-x-range 0 xmax
3 w1 }/ r. `4 r$ d6 m8 a$ r& o! h4 S1 z! }
set-plot-y-range 0.0 ymax
I% e( I) e5 N3 {: send
+ d/ S/ n: Y4 B% ?8 C" W: V" H
/ y' s7 X# p5 a7 H' i0 r$ Z" `to do-plots1 ~5 M( C- o$ S* ^7 a# x
set-current-plot "Trends-of-Local-reputation"
3 Z3 O. @2 L8 z9 M/ P9 Iset-current-plot-pen "Honest service"
+ h$ d$ n3 t. Y# }3 @3 Aend
) l) c+ l3 J9 G% c- o. w' S
6 Q8 k8 v6 _2 Q[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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