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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
% G0 p8 Y/ @- ]" @. ^8 O; y7 ^* Kglobals[, O9 e( G9 [( ?, n
xmax) B- A9 J/ o# O/ f# ^3 y
ymax
5 v! Z: S3 J, O8 G. Wglobal-reputation-list
4 M. H2 Q3 O ]6 P8 ?6 F. p6 B' k0 B* b" z* L" `
;;每一个turtle的全局声誉都存在此LIST中
: Q3 s( D- s/ R; O' N: Scredibility-list% ~+ A8 s9 ^. {# z9 b* D
;;每一个turtle的评价可信度% }2 S& A. ]# l6 g6 @# H" \
honest-service5 c* ^% r' W! v' U8 c, T+ n
unhonest-service
6 u, P7 B z' N* q9 \, E% I& y4 Moscillation3 {+ r3 f* u, k/ d
rand-dynamic
7 y7 [3 e. ~; C1 |]1 s/ C. }! P4 b4 V& _) ~8 L' N5 r
, v. \3 X. S3 T
turtles-own[
( Y6 _" J! _; L* x8 C2 ntrade-record-all
6 O$ z. e+ B" G3 T7 e" r$ `5 p6 K;;a list of lists,由trade-record-one组成" u5 [+ y7 Y, r% w
trade-record-one
) z5 p. _& l% R0 H+ [1 h;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录# Y% A/ w" o O7 v' u
6 L+ |/ X3 K# h* 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]]
. {" `* V: T6 f" @/ 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]
* H: |! }$ @* zcredibility-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list6 @( [! s/ i. f* ?, k
neighbor-total
. ~5 r2 ]9 y7 a;;记录该turtle的邻居节点的数目" z8 B. {: {) v! J, w
trade-time
. I6 c$ {5 W& X( C;;当前发生交易的turtle的交易时间( T2 E, M+ L5 v, x; d0 \! S0 ^! O
appraise-give
% P# N8 D# y6 } U& r6 J- r: t( c;;当前发生交易时给出的评价
j% X9 B: W# i4 T% G" zappraise-receive5 D- ]5 G! N3 b" E& h6 A2 Y
;;当前发生交易时收到的评价1 e1 y, B' i% r) g0 f3 W4 w
appraise-time
/ \0 P2 d9 [( ], B; Y* X;;当前发生交易时的评价时间% Z" v7 J& T8 X/ U3 t, Y
local-reputation-now;;此次交易后相对于对方turtle的局部声誉/ D+ `7 x" [* A1 l4 P& g
trade-times-total
2 Z% V/ G: u9 h. I# k. t;;与当前turtle的交易总次数5 D+ e% L+ w* P
trade-money-total
# ]! P9 [; N8 j/ l" d9 A;;与当前turtle的交易总金额- Z7 z3 g9 P. w' Y1 K. |2 Z9 D
local-reputation
5 C7 G* ^, v) v) _% @# X& \global-reputation E V# y$ W" L$ G8 }" f# j
credibility
, A: y) Z& y, Q& V/ @;;评价可信度,每次交易后都需要更新
0 l0 I, a/ o- X6 ucredibility-all
) W& m9 [: e9 U$ u5 V;;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5 u! Z' L( t- e* e! C
2 ^1 }8 z5 z$ @, G5 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
a( J( \, s$ lcredibility-one
5 `$ y9 y3 m. {/ F* b0 p5 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
* I/ r$ D( X: u/ P$ r# Qglobal-proportion" T3 `# j2 l) i7 s# e
customer
8 ?, C# X3 M G" E7 e; _customer-no
0 e$ U H' ?; strust-ok8 |$ Z! L! L' u `( F& P. {/ D/ a7 Q; t
trade-record-one-len;;trade-record-one的长度3 \& m0 ~, c+ B1 M" L
], u# g3 c$ b, m* X" g
7 a( l o7 _" Y& P
;;setup procedure
; f' Z6 ~" A: L4 o+ [) E2 l Z9 K+ r' _5 e) }0 t
to setup
3 l \! i5 H3 k# [6 o7 b
; i+ A1 n3 m3 D! m* z/ \ q3 uca1 j- p t$ j4 F+ a" [; N
! |1 p1 W, J w, Y
initialize-settings
, M1 c. a' P; Q. {5 M& ~0 z( N8 |3 [% c1 c/ C8 \: ^
crt people [setup-turtles]4 A( Y9 r( |9 d- g- h
: Z# X D+ M9 R
reset-timer# y9 b. P* O# k* @
& Y/ _2 Z! {. u2 S1 q( mpoll-class
6 f; D9 B! n C- K
7 d: s- v/ X6 L$ xsetup-plots$ M% ~7 w% x0 B! k! P. B" C
" d1 d. j/ H8 v9 o" l
do-plots
) ]$ s2 m0 f. ?: L8 c! @; _0 Iend2 Y3 F8 o9 L1 ]- K/ }: j2 _
$ ^ S h0 _. _4 Kto initialize-settings" A7 H& L$ X6 R8 j' N5 X
7 I1 r0 m( o. F) }+ \% b) p
set global-reputation-list []
1 N: c% u: G: Q) G4 A* p
9 u, b- E/ L6 H6 l" x( [set credibility-list n-values people [0.5]- M( e D' p* a w+ L8 o5 X
& @0 n# z' h7 h! L9 k# q
set honest-service 0( C# w, O7 a$ o2 G4 _% |2 [
* }& I" Z% P' B$ s
set unhonest-service 0: k: J: _4 H% k+ ]9 `9 [
* t6 J. _1 j# A; F& }* m
set oscillation 0
% f2 B+ M6 A, C3 R* X
- I H8 w2 s# J- v" kset rand-dynamic 0
' l4 b+ q* P$ Q& Z. Gend
+ `- a2 J3 Y5 O; j" ]
, Y- n& C( K; F7 n! z0 m2 ^6 Pto setup-turtles
: ^2 k$ T8 N+ [; J- F$ bset shape "person"
) T5 S- [, Z$ [% d$ q; Usetxy random-xcor random-ycor6 y4 l* R+ g* N: k/ D) n9 D# [! r) D
set trade-record-one []
) T8 u' e3 {7 z( B/ P8 w" D/ E5 d9 m% A6 v6 y, A, R
set trade-record-all n-values people [(list (? + 1) 0 0)] & |6 b7 \' h- e/ _# _0 i4 Z
5 y' G$ ]+ z. a: X% g+ Zset trade-record-current []- Q$ `( t) t4 d, c% f6 Y
set credibility-receive []* C0 [& M! k6 i% Q
set local-reputation 0.5
& o& z3 y& Y7 J2 t3 Mset neighbor-total 06 h. f/ ]4 S @( @& }* p h9 m
set trade-times-total 0/ l3 Y4 w7 m, }; m
set trade-money-total 0
% y: o* L- H) |1 q9 Rset customer nobody
0 Q, y5 f! N: z: d+ c- [9 R8 }set credibility-all n-values people [creat-credibility]
/ D) `6 ]( z, z. Z' Sset credibility n-values people [-1]) c B1 X& {& j' c7 C+ O
get-color
|' [3 I8 ?" r5 c! w/ t4 p/ S; p! Z! }7 D, V. @2 w
end: y! M( \) O N8 ~6 P
/ \+ N% {+ w: N; s" F
to-report creat-credibility/ O( P6 M2 c9 l+ Z; y' f( U
report n-values people [0.5]1 F. O' z* u7 t$ l/ A; {
end- u3 [* ]% U5 @) d; t
$ O! Y9 m( o2 c# w3 `: Ato setup-plots# _& K( C* D7 |% A! Y( u
$ b% U( O. q, \7 s
set xmax 30
+ M3 G7 @% g e) A- { |, k0 ?7 N
& @# k- ]" Z$ Y; l. c/ ~set ymax 1.0
2 X5 ]) s1 B, `: h7 \; i: S% `4 r$ t$ m; C4 P
clear-all-plots" `. W* `- w7 M
4 o+ L/ Z% d, a% d5 _# Isetup-plot1
0 [, r% k) [ p v M2 a0 E/ W
: v: ?3 h: e8 lsetup-plot2
. Q! m) @. Y5 m! @
! d! J" B w% a! X4 l+ U' S- msetup-plot3
1 z; N B3 R* C3 h7 i& Z, Rend
; y/ u+ R0 G7 W& R
( c4 Y. u2 A! n6 s p" T; e;;run time procedures* Q; t- {7 Y, B# X- z% l! a
% @+ u7 F3 Z' ^7 ]to go
% f" ~$ v3 w& @& x) J
$ E4 Z9 q$ O: i5 [% H* ^) _6 @ask turtles [do-business]* q. z% E p- _+ J) w0 k& R
end4 Y$ B5 e; n' c3 K1 t; ?# n/ ?: t1 `
- R8 n$ X1 l6 `# Uto do-business 9 P4 v* j a8 m; E/ X
7 \8 o T! G' [; B8 l. c5 J: R$ G. W& Z! S
rt random 3604 @' a8 C5 c' J* X* g& b; C# A- k
% N3 q" Y3 y# o+ b* q" l2 m
fd 1! ^2 e$ T) u9 Z3 b ?7 Z1 j6 o
: E, I* I* a! M( u" Y
ifelse(other turtles-here != nobody)[1 K( S( B" m( _7 \+ P
( U N0 Q+ r- b; D" n2 Fset customer one-of other turtles-here, G" e( I5 Z4 b i
3 ^! Q" y; Q' ^) u; c& A K) }9 |* W
;; set [customer] of customer myself
" a' [4 o5 C$ A. Q$ f3 i5 H: T0 G, @; _0 [. B" B8 ~7 R9 Q* |3 ]
set [trade-record-one] of self item (([who] of customer) - 1)! f1 A L U" g/ X! H. B- t
[trade-record-all]of self
2 W Q0 w9 n0 h;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
N: l( `/ g& {/ y
! C2 l c' s. K5 ~9 @( S! e- Uset [trade-record-one] of customer item (([who] of self) - 1)$ L/ T3 i, m% p6 a5 M
[trade-record-all]of customer6 y' I, c) [8 B9 j
- }4 D! l- w5 f/ y0 }0 G; bset [trade-record-one-len] of self length [trade-record-one] of self7 t7 M$ b( b; o {& o
$ q2 b( l8 g1 P% Z% P9 \set trade-record-current( list (timer) (random money-upper-limit))+ C5 m. o) H/ l; o
: d7 \& a" R* n- x% }7 Dask self [do-trust]7 K- M. n( `7 Y! \8 M
;;先求i对j的信任度
3 F; O8 v+ N( S, v$ Y, f+ X' y3 E+ C- V: q. {
if ([trust-ok] of self)
# X; `. Y" [4 f r7 t;;根据i对j的信任度来决定是否与j进行交易[, ]6 A; z, T, A- p/ ^: E
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
: m2 J% L$ Y7 r h) W5 i- ?8 k/ H1 w$ Y( m
[
# u6 \; b, B, u2 d7 n7 q" y' {# H4 h* }' y, N/ c7 a$ J
do-trade( u3 ~9 W x* Z ?. c/ ]0 _
* c- h' M; o, _. V+ `8 A; I% Bupdate-credibility-ijl$ w) f( |1 T. c7 }
6 _3 a0 r9 u& r9 ^* Eupdate-credibility-list
; [! k- ]' n: T) e6 a4 y9 O- D8 P
/ N% Z4 h) C7 l4 Y, T
update-global-reputation-list/ G6 K# K9 C1 Q: l
$ ~0 o* `) B8 q
poll-class
/ L- ~3 W" Q% ^5 w, G {4 T: B2 u
6 s& D9 S( S& E' m0 T3 {get-color$ U! d, s! r- ?( T/ ]% ]) D$ q+ @
6 q' M& ?; W( h. o
]]
7 }& [, j+ |+ \& B# v+ j4 F) A! Q( [ ~0 ]0 o2 S+ f/ V1 h
;;如果所得的信任度满足条件,则进行交易9 U) ?; K0 |/ d; T3 H* x9 i
) {" N: p+ E, y1 v( z W4 @' v[9 Z" Q. l% d0 h5 ^
7 t! H( v) }$ t/ p
rt random 360
; Z0 u/ Q8 ?% ^. C. A3 {' u# G7 K) }/ V, |! ]3 N& d6 i
fd 1
/ L. q S/ j/ }1 X5 V0 m7 D* z/ J% i
]
5 z* X' ^2 v4 i3 M' I, }5 R9 D- w
; ~" `' ]& Y& Q6 }4 w; xend
3 H& o S7 V: E- W: M1 \
) q8 f3 O& l; U2 q1 F0 V/ W+ v% p4 Jto do-trust
9 \6 u/ @1 s/ J- z; |# b9 mset trust-ok False" u) ~: O7 V' W% A8 t5 ]4 |
; Y" S) g7 b5 j% U$ c8 v" X2 M7 L$ j3 y% k; I/ w" t, i8 e# A
let max-trade-times 02 q! ~& e* X, C4 U- E9 l
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
, e/ a |6 p/ s4 W2 }% `: wlet max-trade-money 0
, c: D# y( p8 wforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]( |. N% e1 C# p
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
8 T( m3 K6 [ \" Z+ U5 t4 \( S/ A3 u( i, X% d- Y g8 K
! d0 q5 s& L( p- f* x
get-global-proportion3 w# s, d, y4 @- {7 O. O2 b6 M
let trust-value
5 _, r' A+ |% x: i! zlocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
( P2 L! c/ n+ hif(trust-value > trade-trust-value)
5 c6 `2 c5 B+ `* O! X* |[set trust-ok true]
6 U2 Q5 \* V9 Q& d" h' S, Hend' M' X8 t; p" m z( {# ]7 ~' Q
! e1 M& n" r* D. X2 K9 J* z! W; ^3 K
to get-global-proportion
w; H/ [- i! J4 f4 qifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
' b: I% ]2 w! K* A[set global-proportion 0]- |& M" d+ d) o. [+ @
[let i 0
/ X1 X6 n/ d2 N% Q; p4 Y; Olet sum-money 0! h6 ^4 T. I t2 S1 ^
while[ i < people]( a0 B: ~7 F- V; R% s
[+ a& L1 H$ b( ]7 I
if( length (item i8 i% `6 @4 t# P$ m( i
[trade-record-all] of customer) > 3 )$ U/ ` p8 n* I) E( m+ l! q* M
[
4 {) O6 v& x, r) p8 s. Y3 n! Wset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
; H. z; k: M/ b2 H]
7 h- e+ Y# A7 z2 E" G- g]0 f, O+ g+ f& M
let j 04 r# @ w9 S: y7 d
let note 0( O$ F3 `; P, O" @' `: g3 @* f- M2 h3 `
while[ j < people]# P: X9 Z5 ?5 \/ f
[% L& L& Q3 h- B. J1 ^: N! {+ h
if( length (item i
$ H+ E# ^. c6 _/ D$ R* e$ _[trade-record-all] of customer) > 3 )
4 n9 s/ \+ a$ L[
+ {8 a3 w& t2 k. |ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)# p0 V3 N. q5 t) r6 `
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
% n# n7 {* c9 M[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
9 l$ M" B: F" S]
3 W' A2 P8 E* v]
: d! u2 b1 f+ w2 nset global-proportion note3 y- \) Y4 }& ^( f& m- u
]9 m8 F- q2 S0 X# {& X
end1 e' z$ `; ~' B: r0 P! Z6 Z
' ^& l. T( R& ^to do-trade
& j& S& T9 W: h" H" T& i4 d;;这个过程实际上是给双方作出评价的过程! Y* k# ?/ L: n) I" r g
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价 w- O) R n+ l* j
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价0 G/ d, N' k( m. H# f- `: s: d
set trade-record-current lput(timer) trade-record-current- K! c; B$ r& L6 p5 Y6 m0 `* Y5 y* v* L* Q
;;评价时间
, f& r# P ] E6 B3 g5 fask myself [% D3 o1 N/ e5 A- Q1 B
update-local-reputation$ A" T) z0 R) R0 Q7 }8 J
set trade-record-current lput([local-reputation] of myself) trade-record-current* \& _/ `$ W$ P( W* V, {
]7 M& ?6 V2 E8 e
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself9 R. p6 O. _0 ~
;;将此次交易的记录加入到trade-record-one中
0 z! l$ D% L. jset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
7 ]! N) d: `2 w7 e( Q7 A/ xlet note (item 2 trade-record-current )
" j4 a) S# {! Q0 w6 v a& pset trade-record-current
; m/ a/ F+ {9 |- N' b" o3 J& E8 H(replace-item 2 trade-record-current (item 3 trade-record-current))) f& C. N: h' m p9 i( L" a0 Y% ^
set trade-record-current
8 g- C/ z( O0 x; [: x" P(replace-item 3 trade-record-current note)4 O/ J. E5 }: R5 d
% r3 ?8 P# y: Z' G
" K7 d7 i3 N" o" l: W& X
ask customer [ f0 N3 P1 N/ y5 r
update-local-reputation; q$ d5 a5 B% _$ n; _- \& Z
set trade-record-current5 v9 _7 B5 l: G
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
* Q5 v/ L% U- s/ N( Z9 |' {) \8 Q( ~/ p]$ b2 J2 H/ k1 L" k( p8 J' F9 d
, y0 C; x0 b8 u# Z1 \* J
# T# x6 O1 g- u9 p# i4 b
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
: s! K0 L& z9 j" V0 s- d0 Y: L, T, G# } O4 J
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))" J, R, z) b" L9 c
;;将此次交易的记录加入到customer的trade-record-all中
, q; f I t+ j: O+ f7 A* Cend
5 n; V/ i7 T* C5 P
) h$ c. x; j* Q2 G' C# }to update-local-reputation" O+ F& o+ W. m" d
set [trade-record-one-len] of myself length [trade-record-one] of myself
/ ~* F5 v, Q9 K7 ~ X7 M) p. U) c2 x- X L5 U) M; K
6 `: c, z' X" f8 M4 [1 Q" R; ];;if [trade-record-one-len] of myself > 3
# {8 L! r; X2 g# Aupdate-neighbor-total
* ~( @9 M! I9 \3 p, J! E2 o;;更新邻居节点的数目,在此进行
7 |* W' H1 T S( ?1 m0 W8 x- |$ ulet i 3
/ h$ ?' s2 d* L. j9 `; I3 \let sum-time 0
: I& h' o3 K5 r8 T1 f' C2 {9 Vwhile[i < [trade-record-one-len] of myself]# `% A7 s5 n& P( j$ E; w
[
( [* G0 R Y) n% m$ _1 c4 kset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )+ u6 o- t; D' p( C" |- d
set i
! _8 I1 `) S2 m! Y( i + 1)
+ @/ e* |& ] D]
7 M1 u1 W* H1 plet j 3$ R( e, C7 m, R: I+ d O
let sum-money 0
/ y C! ?$ e- m' U+ ^4 Awhile[j < [trade-record-one-len] of myself]6 F3 K( Z$ C6 A$ @9 g% z' z
[
0 e- L4 o2 Y2 B& c1 X" |0 k j" `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): ]* f7 c, A W# [ N
set j
+ o4 Y& L; T% Q8 }& k, x$ f( j + 1)
0 t& a/ q1 d: H% S. x]0 ^$ `0 ~! W5 Z* [9 `
let k 3' A. E! @/ F0 D0 X
let power 0( ^. q1 ~6 x- n3 z; w9 E2 ~! m! `
let local 0
2 z; X9 _8 b5 y3 ~( Fwhile [k <[trade-record-one-len] of myself]9 W/ M/ |; E+ C7 y, P
[
9 a, v$ G- |' i( p8 X: Eset 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)
; k: K$ o6 I2 S2 f' w5 Tset k (k + 1)
0 A9 g3 `- `7 h5 v/ r]1 k& ^& Z2 S5 K ~' C, ?
set [local-reputation] of myself (local)
4 p$ `6 H: p, _+ f0 Y* o% t# s4 Nend. C0 m( C2 l3 {
K! T+ x9 d9 K' v! d/ }0 s- S
to update-neighbor-total* }! S9 j* `1 v; \
/ i; Y" O7 [7 q2 T0 x
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]9 J; d1 c2 D! @9 Z* r
0 \; o3 D* Q0 V4 I2 |1 P& y+ L* o
end0 u: D# N8 p! [5 \
2 x/ a) J8 \! a8 w, ?
to update-credibility-ijl - N; N! D* Y9 N. i
6 ]5 C! f$ C& X+ b;;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。
U6 n/ E& u0 [: G, S' p' V+ M3 elet l 0
, q% T* ~4 K5 bwhile[ l < people ]
7 Y9 g7 P# u' k4 {;;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% e! k+ {8 u2 r# l
[
. L$ W2 e1 d( J& }1 f2 r. |let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
" L1 e9 X# b1 A9 _3 pif (trade-record-one-j-l-len > 3)
& N* f* t$ l+ T. c[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( M" C% J& }+ q6 Q" A. r8 p) y
let i 3
3 i; G# I+ k' w0 M) J# Alet sum-time 0
% V: D1 |) \' N$ lwhile[i < trade-record-one-len]0 G) e7 @1 d, K6 t" S: w+ \
[
" C6 }5 I/ x4 Q; `" l4 nset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )" R r- L- F; K
set i! K& K0 }- O9 P) {! X
( i + 1)
) `( p- k7 r9 A# i# J. g4 W# D% P]
5 n6 m4 Y9 _, i# K1 [8 Alet credibility-i-j-l 0
# y( s' }! c$ B1 d;;i评价(j对jl的评价)3 I7 s8 H7 \0 f8 W3 R
let j 37 q) i% Y% w, ^$ ? b" _) l
let k 4
& r- m+ m5 F1 I: ]2 U4 t) [8 bwhile[j < trade-record-one-len]
+ ^- Z2 ?4 a+ F* t[
1 `& I w6 v* `/ c. [+ | 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" G' b2 E" B: c. U
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)
6 P3 S# N/ w8 F2 h5 N& |% Q7 ^, [1 nset j3 K% B" \ G6 C
( j + 1)
) q$ g9 C7 ~2 H# L" u]
3 T9 J% `! h& G1 w1 c z7 `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 ))
& G% y i7 q& ^" ~/ M* p& E3 x# O B7 ?$ p* e
5 l8 q) @# [" ~' j. l6 @
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))# ?7 @: }0 P% b& }2 U* U
;;及时更新i对l的评价质量的评价; d7 x+ @. b6 X* A1 w2 J+ N0 k
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
" w+ `; ? {2 ?1 O7 [set l (l + 1)
* @) @# P1 Z6 T: l, {]
. y! d" j) ^: Wend
8 E1 n8 R7 c0 U+ U9 }% h; z0 n* V* }7 H5 i
to update-credibility-list+ ^% l8 S$ X' A) F" e4 A; o
let i 0
* y5 u& e& M& U b5 h C3 Kwhile[i < people]1 J3 w$ A4 d% o
[# c3 b0 ]5 m7 ]: l' t1 N5 h/ _1 B
let j 0
$ P% L% v8 N8 V: flet note 0
/ a5 Q# Q* v/ U: [0 t S5 clet k 08 n% A4 t5 [# x1 ]
;;计作出过评价的邻居节点的数目) i+ u3 I3 [+ A& n0 f( L$ r
while[j < people]4 k1 w6 F b$ s
[
5 u* C. U1 H, N1 J. Hif (item j( [credibility] of turtle (i + 1)) != -1)
: G, F6 p- L" o v: `;;判断是否给本turtle的评价质量做出过评价的节点% l( ~5 Z5 g% {% ?, O# `
[set note (note + item j ([credibility]of turtle (i + 1)))0 e" J& A" G7 K
;;*(exp (-(people - 2)))/(people - 2))]
$ V0 B& ]0 B. l% F- W" E: Mset k (k + 1)1 M' D) s7 s- X$ X$ T7 V' {" D
]
' P8 M; G% i4 x2 `set j (j + 1)$ x6 J# V Z6 B0 r0 W# D% P4 r4 Y
]# V- n% w/ @; J7 K
set note (note *(exp (- (1 / k)))/ k)
( t' e$ R |- c" ^9 K0 E% d9 I9 Vset credibility-list (replace-item i credibility-list note)+ Y: r( b" V1 G1 I/ ?. Q1 ?0 ~
set i (i + 1): R& C2 M& u3 Y/ c& p
]
# O+ b! u* j, [8 t zend) c' \" S8 O9 C u- Z2 G
5 p. f2 S2 y5 q' c# O7 r6 Mto update-global-reputation-list
) q% c) W$ E8 H* @6 @let j 0
( j2 n1 y$ q/ y6 v& H7 ?while[j < people]
+ @% t2 l% F" p" C" C[6 z& ~- {% {! F) y- f" b( f
let new 0- Y+ R* s; f! J' T
;;暂存新的一个全局声誉
' o4 r3 W' A/ q5 J5 B8 r% nlet i 0% x) s: w! t* K9 d, d; {/ H
let sum-money 0
! {1 C1 h. u' F: Ylet credibility-money 0
4 }/ U+ e2 m b o. E9 Rwhile [i < people]
; d& C3 p m2 Z[) H; T5 R# ]* R" M; s. O
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))% o* J, F# g; u
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
4 o) x0 D. |/ j' }set i (i + 1)
2 T/ y* L+ }5 l$ [; W]
3 l, s! \: e I5 v1 n6 ~' q& ?let k 0" @) j, j7 d* D0 H; Z. z& M( X8 r
let new1 0) Z, s3 |! R7 n, N# }. L D0 y/ \
while [k < people]# q2 T4 O3 j7 _
[( ]( w! i6 R# ^2 Q/ 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)
! `& g. k1 p) r1 mset k (k + 1)' F9 j' ~4 X1 B( ~
]- g- h' R, Y2 H! A( N, r$ U0 n
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
4 G% K2 R5 z, L: `' l$ o; fset global-reputation-list (replace-item j global-reputation-list new)2 H3 D @7 m( G C4 S/ d9 y
set j (j + 1)+ T$ i6 ]4 ` }
]
}* o) e8 A* q) x) ^& D) \end
3 `- w" M7 [3 Q# x& R2 e1 H+ l( V4 C7 \; h
h' w! L: f" @7 a% {7 [
& Z& u4 W. e# v) ?, n7 zto get-color
& f7 i6 U( H% q5 p$ ]- v( E- R: Z. E# F0 u
set color blue
! D/ y5 [4 j8 }! T6 q8 Rend) N9 d8 l2 V4 f! V# J) `8 j6 W9 \
7 X1 l- d' C+ f+ |0 O Z4 J
to poll-class
# z4 o3 x3 `" \6 x% fend: X8 a- w3 i- `- I! E$ g3 {
0 f' g. p4 n2 z! oto setup-plot13 S$ N' q# x# H" i+ V# o
! h1 `( O3 ^7 S! E% z. @0 T
set-current-plot "Trends-of-Local-reputation"
) ]& L1 Q8 {# u! W0 [9 _9 b
1 o' {6 [( C6 W0 H2 @3 O' ^/ eset-plot-x-range 0 xmax7 d* n0 Q4 W( `" Y1 w
" R- I; C. K3 qset-plot-y-range 0.0 ymax
$ ~, d$ S7 h% Q7 z$ N7 C& ?end" `/ A- R8 D3 y* T& Z3 ~. X
: ^0 @! O9 L/ c7 E/ q) X. _# dto setup-plot2
2 n, a( e, O! ? o! g! u- N+ h5 Z8 _8 ?- ^# y$ j: L$ r
set-current-plot "Trends-of-global-reputation"
1 t) i* e0 {: \; t6 o
4 r% c0 X8 |/ ?7 _: zset-plot-x-range 0 xmax
5 o4 F6 U$ b; X
/ k) m$ J+ C+ R* bset-plot-y-range 0.0 ymax5 }( u8 v; K/ w0 O
end
% U0 S }3 j C5 `* b( I
* S5 U8 b o% J. Xto setup-plot31 @( C; |( l D8 g8 [
6 L. M4 B |* t
set-current-plot "Trends-of-credibility"
; y9 f# @, Z- X2 e0 _
' i; M% d, v5 l; x9 uset-plot-x-range 0 xmax; Z% m7 ^$ C5 c U- U
1 u6 e/ z- L3 L0 r. B. x9 aset-plot-y-range 0.0 ymax/ j* g# `) S( c% b# u' Y0 M" p
end; |# |3 A+ v+ ?$ u7 q0 e# k
: _6 i: m4 R( D" i
to do-plots
8 B$ h1 _/ N. M8 X9 w: \- cset-current-plot "Trends-of-Local-reputation", [: V! L# q v3 h; d# h
set-current-plot-pen "Honest service"
* L3 _ a5 n& O" Aend
# i- \6 ? t. v# D
# \* K8 j, l/ l: ~. W8 _[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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