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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 g! o4 f8 M5 sglobals[3 m' ?; N1 H7 u1 B5 s
xmax# ]5 ]/ Q4 n# r5 m/ t
ymax1 X) u; S- u" U( Q' L& y
global-reputation-list* X3 ]2 \+ x" O
& T, Q! M( N y' Y;;每一个turtle的全局声誉都存在此LIST中4 \0 ^: R/ u+ @! a# Z0 g
credibility-list
& i3 g" C# B$ { _" J, b+ t;;每一个turtle的评价可信度& |# q* L6 F" @/ n
honest-service) U8 S7 O8 v5 M( o0 }. x9 r
unhonest-service( ^/ M' {4 ?6 D% V" ~6 d
oscillation4 b+ Y* \+ V2 n8 g1 k9 \- |; T
rand-dynamic
$ E* i0 l- A' j* []
* F" N+ _- q& F6 G, }- x3 f" U% n6 _& c' N" Y+ R0 A! a
turtles-own[
$ u! D( t! [/ C/ Gtrade-record-all# C1 V+ o: S3 j9 S3 M% @
;;a list of lists,由trade-record-one组成
8 t2 Y: |# s0 X( N' E$ a% gtrade-record-one% X5 n0 K% i1 S. U5 t4 R
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录& ?, e! B& S" E* ~9 ?
6 H. Z: [. [* T7 ?
;;[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]], R8 V9 I- w6 m
trade-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]
5 b- ~9 \0 N8 C7 ?+ p$ Scredibility-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. P3 ~/ ~" ?0 c2 X4 h/ K8 g. O( w
neighbor-total, b- j0 X, n( |: K
;;记录该turtle的邻居节点的数目
1 X9 `' g: }+ t x; Btrade-time
+ W* _0 M1 t1 Y5 u" l' S;;当前发生交易的turtle的交易时间5 u) G3 f$ X1 V+ p# C1 V
appraise-give: n: c- u! b6 W j4 K
;;当前发生交易时给出的评价. U% l1 P9 i! g6 n5 q: `. x$ i, w/ P
appraise-receive7 w2 A& O, |% k4 t( a; o8 P6 [1 j
;;当前发生交易时收到的评价
( ]+ A2 I9 t9 T; L& r' z$ Eappraise-time5 D; v6 ~# ]- O# G- K- c$ L
;;当前发生交易时的评价时间* U2 U5 G* l/ b5 e; M( C1 P
local-reputation-now;;此次交易后相对于对方turtle的局部声誉& y3 s& `$ `) X! R
trade-times-total
0 W M/ e+ y% \2 d; X% e;;与当前turtle的交易总次数
5 @6 V5 x G) [: V& f2 h& c P# dtrade-money-total
2 s \8 p6 q/ S4 \% Q( D, M5 l4 O;;与当前turtle的交易总金额
, U, N" Y, V: C2 w* Ilocal-reputation
% i. [5 |* R4 C. ?, _! [6 T7 t' Yglobal-reputation1 t% O) c. ^% i1 d: o
credibility
( G9 _- `! Q4 N! [. K& b;;评价可信度,每次交易后都需要更新
/ p" D6 m. A y+ a9 Qcredibility-all% [0 U6 m: J% ?
;;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
9 c B( w; X1 d5 M, I/ ~" L! Q4 Q9 }. Z2 C* o1 ] d& x3 k
;;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
* @, y* t% Q% [+ e vcredibility-one
$ M3 D) `5 u) P;;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
, c& `; P0 |% q& ^ c" I1 d. zglobal-proportion4 |2 ^6 w8 G, @4 v/ {9 g: v, ^
customer
: h) _/ N0 P. w1 Tcustomer-no
0 v J) t8 X6 ~2 ]) utrust-ok
8 q4 Q5 J8 y) W3 q7 E# vtrade-record-one-len;;trade-record-one的长度
6 \5 u9 s7 U( \0 x6 N( m' b+ l]% S6 P' U7 |# \/ t
; p8 Z X5 f% Y" B
;;setup procedure. @) P% Y- R/ J; V
1 W! |. I+ [; j9 h% m2 wto setup8 r; E$ F. R! B7 c: |, N2 o
) a9 Y" E3 T0 z2 v5 @7 Z
ca
- S- Z- [. p. B2 ^- d6 ?4 s7 D
" v; a0 |4 Q6 w7 L' Z$ _6 N" Finitialize-settings
$ `! R" `2 e7 [, p0 s) j9 P* e c+ a- ^
crt people [setup-turtles]9 Z! i5 v3 ?# I, E" _. T3 b$ l# f8 T* n# a, q
& Z( r( f* M* K1 V% K1 yreset-timer& _/ M% H8 Y! U& Z' u( `: D
' T8 v& \% P; H4 _poll-class5 W, s9 q8 m( W* G. E, ^( X& ^3 G
- T0 R, n, s$ y4 p1 _9 I; tsetup-plots
$ }% `: e% l! p& V: r" t, n+ {) W8 \! B8 Z" i
do-plots- _. W6 P/ d' }: i, |2 X
end Z) f+ i* O3 H7 [( p
6 Q- w8 j/ C/ R$ ito initialize-settings$ g8 c) d' N; b- u& _) ^
; b5 r, a: G1 yset global-reputation-list []
5 Z6 \3 m* E- E: i! t
6 d# u ` M0 I9 v% N9 Tset credibility-list n-values people [0.5]
7 Y9 C) P, h9 a# }$ [, I
9 J: O* j5 q/ J% M+ E8 ?/ B: k% @set honest-service 0$ O9 q8 m2 g" F$ {- H& [6 V
0 {5 h; X! }4 `9 N; d" J
set unhonest-service 0
: t2 f. j' J2 b! G8 ~
3 S n3 z; c9 d. _, |% G- k6 Dset oscillation 00 T" M/ v6 a/ | p- x1 j, X2 U
. i/ ~5 u- f/ I0 n* Q1 Iset rand-dynamic 06 o% S& j: e. X& _
end- E7 X& {" H' j1 F! G. Z5 F
3 f: n2 K; [; Y0 [: ]1 uto setup-turtles
2 k$ e* Q9 R9 h! g8 {2 r! C) ]set shape "person"
$ w) d+ D5 X5 R1 {: Nsetxy random-xcor random-ycor
; U6 O- |7 P O% i, S6 r; y0 mset trade-record-one []6 p( }8 w. v) p- j" J
5 w7 w) ]. ?) m @' r# C" Mset trade-record-all n-values people [(list (? + 1) 0 0)] 1 H+ ]& m7 V# l, O# I
! O. q1 s6 z! Y- @9 Dset trade-record-current []! b) O/ r1 e6 W/ u/ g. r* j
set credibility-receive []
: H" u4 L) o. _% Qset local-reputation 0.5
" U) |$ h( Q3 A# A& aset neighbor-total 0/ d/ Q0 t" e( T \, G
set trade-times-total 0
% f4 s- d+ H5 a: Oset trade-money-total 0% i0 R+ c* d! e
set customer nobody
! G4 K* W) p7 p0 P, h* i2 bset credibility-all n-values people [creat-credibility]/ X& J8 \+ h& u' Y+ g
set credibility n-values people [-1]1 z4 P' N2 S$ S. Q& O X
get-color$ T; \% a4 I* O7 ^$ y) R; v- Y2 E
; Z8 J7 h7 R- Z, y" m( pend
3 h- f' h, a) d7 [
) s3 b0 s3 V# x% ]1 o0 m0 d- r; eto-report creat-credibility
- y9 u. \( B+ `7 q2 Zreport n-values people [0.5]- e' L, p2 F3 |& N* L+ W) E
end
! E* B% y( R1 k. ]# e$ I- b$ T
" u1 V4 @) P/ ~1 Pto setup-plots# b1 {' c) {( i! }- k
( N) S2 }$ `; d6 v9 Z, i1 K
set xmax 30
$ B$ _" V1 Z; Y( {
/ m' j! I# V4 _/ l! n5 K" tset ymax 1.0
# }! ^& |& \" S+ t8 W& t/ P3 i
1 O4 [# K( V- p z& Jclear-all-plots
$ k8 z$ v) V) h8 T7 q
' H$ f0 l+ w1 wsetup-plot1
3 Z$ r4 Y8 h, ^8 B6 `& [5 Q" ?1 a' M$ Q( F9 M: M
setup-plot2$ T9 R# I$ Q5 u) C$ v4 M% q; X* r
4 K( M. k, i/ M/ P- e4 Wsetup-plot3
: k) Z9 v1 _7 W- j+ U' lend
- W# Y \, I3 a1 l+ w2 M. e2 k
* _" B& @$ ^% [* y& R;;run time procedures
6 r7 A# e: x# r \ B$ Q
9 z2 X& A+ t s) n- y3 G) hto go7 V% q1 Y R8 J; i
2 S5 s6 r0 j; v$ Zask turtles [do-business]
, @$ l3 N3 U! \/ I3 B+ H) x! Zend
# C# g5 s f) B- S7 s, O) g7 o- Z6 n
to do-business - G" I( I# E$ z! g) Q
) J- H- G, E; ?- g
5 y2 S% D% R& q6 T, h$ [5 Yrt random 360
8 j- }) T/ ]+ g7 c& U) o( w
7 e* Z; I+ S* Wfd 1
5 C& j; F" u! N9 n! Y O
8 F* b* }! @- p4 T$ E# L7 V" fifelse(other turtles-here != nobody)[7 ?$ k/ ?$ U2 p7 z0 _
) m; g" I+ W- H9 x- ]7 @3 _
set customer one-of other turtles-here g1 o2 [/ c3 G7 _; r$ U
% t& B }* }7 P3 [! Y
;; set [customer] of customer myself
/ s- b8 q2 x+ k$ y, T6 v" x2 d! T& G' [2 v
set [trade-record-one] of self item (([who] of customer) - 1)
, n3 A( ~+ f6 t0 s- I[trade-record-all]of self9 {1 N9 F' m( X$ V
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
+ l$ H9 C* c# ]$ A9 H8 ^
9 j9 X$ @1 A% m4 J, Zset [trade-record-one] of customer item (([who] of self) - 1)/ Y8 D% n, `: w& A8 y- A! O1 j: _3 k
[trade-record-all]of customer/ T, b+ G' w- k \% E1 y& E
8 K+ V0 h r6 n8 t) p+ h' g# Uset [trade-record-one-len] of self length [trade-record-one] of self. e( A# x3 V. i" ]
# ]+ E9 t" \7 ^$ k2 {- c* q. Pset trade-record-current( list (timer) (random money-upper-limit))' |( Y A5 R1 f7 b( Q8 g
/ t* }1 F! G- [/ S8 z4 c2 jask self [do-trust]
' }. \# J% T) n! k;;先求i对j的信任度) ^8 A8 O8 c W' n9 k: d3 J
: d$ O# y9 w( h/ O) a
if ([trust-ok] of self)0 f2 H1 k+ J* H7 c1 @
;;根据i对j的信任度来决定是否与j进行交易[
7 M F0 E! G4 `" |1 i/ W: Eask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself1 @4 t3 ~" o8 F2 b% ]
3 |9 r3 I% k& A5 S/ i a, }
[* Z# i. j/ ?& }5 Y' P S
; A1 _; g+ e) x+ B& [3 V
do-trade, f% R2 y4 @. b
. c4 U* W% K/ m4 Hupdate-credibility-ijl
( m: K. R: Q: J0 n! Q3 h4 J* Q0 X" D5 U3 c. Y! b
update-credibility-list
: s/ D6 _* N9 C. ^% @1 x k0 W
- ?6 G1 J2 ?+ z5 A/ e
9 t( W6 Y7 b5 V; Y7 oupdate-global-reputation-list+ R* _8 I% K7 c1 W+ D) I! _( a2 [
% `' b% K7 N9 q3 V: W' G
poll-class
' U" c7 E8 d$ G* f8 B2 H) {- p: [! ?1 R" I. A
get-color! ^$ f+ |2 {4 f `, A$ O3 E
6 U# s3 K- j& j7 g" |# d
]]
, `- g( m# U" t* R# ?# v( d* @: n$ C1 q. ~+ D9 w& h. J( h: E. ~, b$ U4 H
;;如果所得的信任度满足条件,则进行交易9 l. v6 g7 _: y" A" G
, b5 ]$ ^$ r( t) _) H/ l
[
6 O6 h- ~2 F$ T2 A0 k8 E. w: x7 Y- S: f X {2 K
rt random 360- `6 j# }/ y8 _3 y4 t
" ^& y; y0 ^8 A# _- a- g
fd 1
: q* P4 L8 h) \' Y. I
/ A3 g& Q9 P+ r( b4 L]0 T! r# \, n( D3 `& X# W
) O9 n/ O5 i& u) Z6 K, \ \7 U
end
% `, P6 R, Y m' F$ H
9 p9 v/ p% n0 j( @* P# j! f8 U+ Hto do-trust
$ {! E# y7 @; Y7 s; {set trust-ok False( F3 t _7 @2 c4 W( Y. c5 v6 T
- c, i4 o. s% F |% U
M9 _1 N1 o5 D0 B+ b6 A9 h
let max-trade-times 0/ _' V7 Q- n8 j( z: C3 u; Y7 U
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
9 ?( B/ ~4 R: |: f) }( Z; p- X9 [( A4 vlet max-trade-money 01 `/ z8 l: L+ S4 V
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
4 a% @# R ^8 |2 h% hlet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
0 X9 Y! e# l- s b; Q. K# _( X, D# p; x1 @! o$ ?# P
6 _+ M/ @2 `( _; M( Mget-global-proportion
6 b5 Q) y/ F- Vlet trust-value
" K9 Q I& \8 H9 r+ t' ^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)1 m2 h9 b/ I1 d7 q
if(trust-value > trade-trust-value)- R( F2 y/ W; R
[set trust-ok true]0 m4 v/ j1 Y- _3 T
end
4 [7 x; }" @4 s* ^" f7 o
. c' ~' F0 U- v. z# Nto get-global-proportion1 i" w' T, {" ^
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)) H' B$ z. B1 c; V
[set global-proportion 0]
# Z7 B; ?* Y, z/ V* I u% M[let i 0
t$ J9 c4 _8 a+ N3 U, ~* Mlet sum-money 0
8 k" T: t( i( n) x# qwhile[ i < people]4 x- ^! c: Z; e/ J& r
[
h( S4 w5 C0 F# l4 [if( length (item i/ C/ i$ ~' b7 _# x% u
[trade-record-all] of customer) > 3 )
6 o$ u% `1 }/ @0 H& g; V[
: V8 P" Q4 d- E! \' n9 s9 D$ rset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
/ j, v( w+ }4 Y* k/ q1 S]# f+ f( `5 g8 F F5 Y
]
5 N2 D* y# u+ u1 e: x4 glet j 00 ^$ q. m" {9 A- ^( A
let note 0
% h. R5 e( i+ x! B kwhile[ j < people], D/ |# r8 _+ X$ e6 s
[( ]; O# i, ]! F% Q
if( length (item i$ G' N: c1 w2 Z |5 e2 P
[trade-record-all] of customer) > 3 )8 D+ x/ a' s7 V
[9 j7 B9 J- E/ B! ]* C
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)' A( i3 K4 C$ v- ]
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]. ?5 f6 Q g' C) }1 w# y
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
% u/ P( c* V* T1 N/ @" Y$ K/ j]0 l; z4 b) d1 |7 R* I ?5 i
]$ V- `2 R* L$ `7 ?
set global-proportion note
3 u5 y# F8 n$ d/ Y]; X9 |/ J% ?. }
end
& B" ~9 Y3 o6 ?8 P, D1 Z3 A: D7 v5 Z0 {* C
to do-trade9 r, ~6 L- ^( W5 m# [( z( ~2 |
;;这个过程实际上是给双方作出评价的过程
9 D. c+ W/ w+ x! e5 v% u! ?set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
2 B! v( r0 A: o- E0 K5 }8 Rset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价9 |2 p( I$ v# B' s
set trade-record-current lput(timer) trade-record-current: L$ {6 K* D% }) ~% w6 R
;;评价时间
/ `# z: P3 p9 B2 h: t8 @! ^ G( Bask myself [
! r; r9 y+ y2 dupdate-local-reputation
( z/ U; `- A" |! p0 ~0 `$ Qset trade-record-current lput([local-reputation] of myself) trade-record-current
. {# \9 F8 v) H% b& ]# t( X* ^]1 ~+ k, ^8 ^3 d6 x
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself- r) e# ]' p: O8 k7 t
;;将此次交易的记录加入到trade-record-one中1 X8 S! F! h. O2 `; P: Z
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)0 P4 f6 [( C, E, s- Y+ L& j/ _; p
let note (item 2 trade-record-current )6 `" |, D% g' X" L
set trade-record-current/ U; ^4 Q% _# R
(replace-item 2 trade-record-current (item 3 trade-record-current))$ L* J) t2 T" x9 _1 F1 _; c7 b
set trade-record-current& w- A- C& ^. \1 v' K- ^6 [
(replace-item 3 trade-record-current note)
) R- w$ w" [7 n l3 p; G' `% Z% m9 a1 x" I8 D* X
0 [* j( U' q, L
ask customer [, J* n0 q) ?& A: b" K
update-local-reputation2 P2 c X* h, b8 a' D
set trade-record-current
- i) F' L/ t8 R1 V3 W }2 A(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
7 [+ n: n8 p# c/ Y( O$ p]; { y8 R! [- ^( M/ S4 k
! N" g6 I' \: k: p2 _) A
) K3 }+ ~3 l" |, \9 t8 v& t% r
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer* b$ U1 i9 j5 C, f/ A8 K% Z- J: h" A% m
5 u0 x$ k# g# M% ~& E
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))% H* k) O9 f, _3 U
;;将此次交易的记录加入到customer的trade-record-all中
- }) C7 g# j' _8 A3 d1 X/ Jend0 w/ m+ l9 Q1 ]; A k6 |
2 c% B5 @. v C/ vto update-local-reputation( G2 _4 U/ d: O' ~( i* P
set [trade-record-one-len] of myself length [trade-record-one] of myself' ~' L% }$ y% n9 @
) ]& W1 u5 @+ ` ^" P
1 x1 d, u {( j8 V3 ^;;if [trade-record-one-len] of myself > 3
5 D/ p# Y0 B; ?update-neighbor-total
. z: @1 ]1 y+ ~% }3 q3 G; |;;更新邻居节点的数目,在此进行
7 q8 O9 e' G. ?( e6 S' n( Slet i 3: x. h% d, ?: p6 x& W* l
let sum-time 0) S7 ?, w% w2 B% B
while[i < [trade-record-one-len] of myself]- P3 o1 G" Z2 ^5 N
[
8 h* h. D/ o! W7 C8 F7 rset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
, b' a' N' K( G1 Q' ]7 R. Vset i& I" r( t+ s E
( i + 1)
# d3 m* S% j% E) Y8 d]5 k6 e e7 V: Q# u6 o
let j 3
) K q* C3 c. \let sum-money 0& L3 b/ q5 [: \2 n( L4 s M
while[j < [trade-record-one-len] of myself]
4 U7 l# h" P5 `* [- k4 k0 f" P[" {7 f1 x4 h, r- [' S% |0 S
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)" @! a# [: K# K, |* T, ]" q9 i
set j/ ^- o$ z* o' G/ c3 h, p7 U
( j + 1)* {8 }0 j9 D6 I5 E9 p
]
. E, p" k8 a7 a: S: Tlet k 3
& ^- n6 B8 [% U7 c# jlet power 0$ {6 _3 `! h, A) X$ J. h
let local 0
9 W5 q: [) D/ Y/ Z/ t Xwhile [k <[trade-record-one-len] of myself]5 \. r! |, g* v2 C8 D; \* W+ A, s
[4 A# L4 C5 v. j, q! w- f
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) M5 Q. i, W5 D5 H
set k (k + 1)
: g( K3 ] E# W$ S( R]4 }8 z' a! q6 b3 ~
set [local-reputation] of myself (local) d: L. M6 w+ [! l4 r
end y0 l6 [/ V; \1 B
; g! o z- w5 J3 o6 Z2 S7 Oto update-neighbor-total
( ]0 E" [+ j' G3 x9 T
8 R; \, W$ F$ F R; n1 h! kif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
3 b# p% Y% I7 w2 g; T
1 J1 X9 w, r2 c# v9 x
' [! } y: B/ P' f$ ?end3 r1 `/ j2 Y/ R* z: ^
' x! i4 q2 J( y- j. ]5 @
to update-credibility-ijl
; u) E/ E) P# _( g# ^+ p
$ ?6 r8 G7 h+ J' u;;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。6 M) w7 L4 a# O: S5 ?1 X J4 t
let l 0% S Z; e; k1 b1 v, r; _
while[ l < people ]+ E3 F' s3 x/ ?- d$ g
;;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5 f7 F# |, H& j5 {
[
# X1 W- Z1 `0 q2 L: F2 n8 M$ C/ g$ }. Rlet trade-record-one-j-l-len length item l ([trade-record-all] of customer)9 \& u$ R& W2 Q
if (trade-record-one-j-l-len > 3)* k! B9 [. t( d, X
[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
: Y: m/ M+ k4 ?2 plet i 3
2 V, K- r9 v; v) nlet sum-time 0
- x4 D; R) R3 }; F% `while[i < trade-record-one-len]
9 z0 {- L8 |% K, v' v' }[2 {5 K* w- Z' H4 x
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
2 M, u+ \# C: cset i
, m( t0 t& ]. B- ?0 U1 R( i + 1)/ ]/ T1 v% H. I3 o$ [4 b3 Q
]
* E3 J+ |6 t2 p6 T Ylet credibility-i-j-l 0
4 J9 q- x; G7 ~* ?1 i" Z' R& U;;i评价(j对jl的评价); m! m3 u2 |9 [1 j' y. X1 j6 ]4 U7 z
let j 3, g0 q+ y/ r$ K
let k 4
& D" Q" S9 A8 }while[j < trade-record-one-len]
) h! M$ {. s: v. l# ?* ~[
- U' p; Q( M t3 r4 @, }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' x, D7 [: k/ A5 @) q1 z3 m* ]
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)
: R3 U0 @ h5 O* Kset j4 v D2 ?: Q5 u) K6 L. L0 g
( j + 1)
0 \5 y+ ]& ]$ E7 {- M4 M]
( s5 S: ^" W+ Iset [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 ))
7 V. n* e# x' `- b1 q+ |
9 F1 M# r$ u) h; }
. e8 e0 t: T; Flet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))) T3 V; E5 Y$ V, y
;;及时更新i对l的评价质量的评价
$ O. l7 g4 P4 Q' ?9 jset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]3 ~6 @8 ~3 q% ?1 u; ^ W) z
set l (l + 1)* K7 ?( R, ^; Q s+ e1 ~6 H
]
1 Q8 g1 j4 R- G; J3 k( I. G1 Cend
6 |) K) `" r6 m7 C ]) ?) r# D0 y, `9 r/ |( l7 a8 ~
to update-credibility-list d5 H4 U2 ]5 X5 U0 Z" d
let i 0/ P% S; b0 M6 U* w
while[i < people]
- W4 `1 A3 G1 W9 E[
% ~9 G: U& m( F" x) I- ^* hlet j 0$ [, o. n `2 P& _; G9 q
let note 0
5 T) k% `- h4 k; D9 |: zlet k 0
0 m% g. J5 o: |: c) c& y& Q U;;计作出过评价的邻居节点的数目
! Q9 n% T D& c+ Lwhile[j < people]
. a& s* a) p. w. w[6 l' l6 X/ P. d8 \/ o# k9 b
if (item j( [credibility] of turtle (i + 1)) != -1)6 k+ ^5 W* y' ~2 u. R
;;判断是否给本turtle的评价质量做出过评价的节点
7 Q0 [* K" _8 G; `: i n[set note (note + item j ([credibility]of turtle (i + 1)))& f _. I, c: P* G
;;*(exp (-(people - 2)))/(people - 2))]! q& ?8 {% G9 J0 H8 R" q! G
set k (k + 1)
$ J9 T) P4 a F" z9 j' M]
% N+ |' G# k W" ]5 t# Nset j (j + 1)' U1 E2 a9 I7 G; H9 j1 [6 b r2 M
]
% l7 `8 b( F$ P* pset note (note *(exp (- (1 / k)))/ k)
* x U- {1 a# c3 `2 _7 E. Vset credibility-list (replace-item i credibility-list note)
4 {8 ?% A. s: K5 I& ]# k' [4 zset i (i + 1)
+ M, z8 @. s | L]$ k& l. }+ |, N
end
* f5 ^! \, J5 E) s `* E, y4 H$ X
( N, r: i* a6 t0 N& ], W5 Sto update-global-reputation-list) o- m- U( n3 v7 V5 y
let j 0
. Z* W1 }9 K5 `9 r/ ?; ]; u) hwhile[j < people]
, |( D7 t* K B7 i[
. `7 a6 ?% }5 X2 j flet new 0
/ H; E8 k& H' I. x+ L4 t;;暂存新的一个全局声誉
2 R: c6 [$ z* }% T8 i+ glet i 0
% L' ], P' s, m# T" J5 `$ blet sum-money 0
8 n6 R* O- Z$ _2 D4 i7 S/ [5 Hlet credibility-money 0, d/ j7 J1 Q1 V7 D& a
while [i < people]) E" r0 O `/ b- y! `! r
[7 A- W# @/ K8 e: q# c8 r
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))" C7 N' ?' R5 `! X# p m8 U
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))) y1 [! o# C4 n8 v3 C. Z9 o
set i (i + 1)0 l$ l( v% V2 Q7 f5 S
]3 u: ^$ U& _) O
let k 04 Z; r3 V$ `* A
let new1 0/ v+ d2 P3 }2 [. ~. ^( [" V P% X
while [k < people]0 }$ Y6 V5 b3 b% R9 e
[& a4 J- C% z; S$ a5 P/ {
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)6 J% D2 `, z/ I( m, N/ }9 m
set k (k + 1)! L" }( ]8 x, }& w2 V7 U
]
7 c9 h+ O0 E7 o* p; P2 y! |set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) 6 p3 u9 [' R% B6 Q- m
set global-reputation-list (replace-item j global-reputation-list new)! N2 |4 ~) \* t0 p- B! S% h
set j (j + 1)# Y8 F8 O/ B) W$ Z2 w$ Z8 |
]1 g: f( x7 J' [* q" k8 m- r
end
# l" N" {$ |! d/ o- E& A6 P) d( ?3 |/ m$ I T; J8 a+ @. T5 ^
! U& Q( k! g& y: S$ q3 P/ U& s: h
1 ^) t" e, ^( c4 ~( V& r
to get-color
0 H4 F2 v: J8 s9 ~5 ~" M: {7 g& v2 U. P8 o" i
set color blue
, q0 n, T( T. M3 wend
+ u' v# c3 J- d0 ^8 F/ X' _+ i9 x& r, x! K4 T# a* I+ V
to poll-class# c6 T' ]+ O" n) P
end! T1 r0 n i( v: Z
; g7 n% t* D" P, t
to setup-plot1( u8 ~! g- e% T1 n
4 M$ A; H7 Z; V+ P1 e# _set-current-plot "Trends-of-Local-reputation"
: ~" \& {+ W. S1 c# b: v( X+ a2 S- I( U/ \/ e( r5 e9 x5 m
set-plot-x-range 0 xmax% K* a) s" |+ n8 N
! T& |" T; _8 c+ eset-plot-y-range 0.0 ymax
$ ~! p$ g* n9 r. a6 V$ p% t, send$ S' S k0 c" u. T
: F8 }% U& D& M, m% k5 ?8 a
to setup-plot2
$ |. G( G5 H; @& }, q$ ^' R
+ s, [% E J$ q, vset-current-plot "Trends-of-global-reputation"
; T3 P9 \( X# S2 ]& E
0 W& j; T% e* g5 {3 o8 L" Sset-plot-x-range 0 xmax
" I) z6 j( E/ V/ [
# U! m1 J5 Q: n5 e( y# ~. nset-plot-y-range 0.0 ymax4 l. v! l% Q9 G+ w/ e) w7 k z K
end
& X( P! H+ }& W/ E7 m
8 o, S4 P m# b6 u4 _to setup-plot3) n2 Z" y& U7 ]$ L
# m4 p9 M, o: l/ C0 x8 v0 I3 {8 T
set-current-plot "Trends-of-credibility"
6 m! w5 j* g' k6 R6 O# b! c) p
. |2 |( P5 D& h" u, Y$ fset-plot-x-range 0 xmax3 p; X# F$ j/ R3 _
# D2 k& J$ b# Lset-plot-y-range 0.0 ymax( P: s+ n6 L- M; U
end9 Y! f1 t1 r+ y& _1 }4 o4 N
$ J8 T* C1 i0 A. o1 K1 ~to do-plots6 X- B; M$ O+ h( g; Y
set-current-plot "Trends-of-Local-reputation"
- B+ M$ o( x4 Uset-current-plot-pen "Honest service"
. A$ z6 f: Y5 \/ Vend
" D$ I4 B% ^- l. S; ^, |0 h3 P* Q- h$ ^; B
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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