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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' s, W( Q) @% y" @4 w2 D' h/ }+ M8 h
globals[
: Q, v$ H# f" T2 w. sxmax0 P. p5 `5 p) p; h, B+ f+ a5 t
ymax
% T a2 p+ o" t- ]% ~" ~; j9 bglobal-reputation-list
6 L1 E9 `" I7 l# k9 `$ d% d! s' x/ S
+ o# @6 l0 d4 n) Q* A;;每一个turtle的全局声誉都存在此LIST中. \. H/ ?- E$ X: t% w( A* |1 E
credibility-list: D( _- m$ ~% s x) H
;;每一个turtle的评价可信度1 ^* W% r8 _4 |
honest-service
! j& T* ?; F, ^! bunhonest-service
+ N( Q, w) x# Koscillation! S9 u) H, t1 W$ K
rand-dynamic. v; B. ^$ m" r
]
, U+ `4 {1 k- i4 c) Z$ {7 |# K
turtles-own[, H9 i0 k1 v G4 D$ o) v& ?4 ]
trade-record-all7 l4 X7 X6 b4 a; q! `7 j( f% [1 M
;;a list of lists,由trade-record-one组成
; `$ c; R4 p/ ^7 p8 Q1 {% A4 c' ntrade-record-one
% c' Y4 B! m# j) I6 A4 X6 T;;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 E( q6 y" I1 N9 f* S Y5 p2 V/ v7 c
/ @6 G8 z* q6 l: p& N( p# f* ]( x
;;[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; P9 y" n# q7 [8 T
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]4 |1 M2 J5 T0 ]0 i* u* M: X
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' P2 U. } w4 a% e& ?. X" m
neighbor-total, {2 D; ]/ x$ z7 ]4 R. R
;;记录该turtle的邻居节点的数目
, ]8 V l% x& _) L8 Q4 c* r5 Q7 s% X: }trade-time' p1 z [1 r5 y
;;当前发生交易的turtle的交易时间
]' X) ]* Z. e' S8 \( wappraise-give* y' c* s7 |* }: l6 }8 b
;;当前发生交易时给出的评价6 ?& p4 ]; o8 D6 D' L5 ?2 n+ H
appraise-receive
. E( D K% V1 t$ y;;当前发生交易时收到的评价: N O; X; N* K. A5 y
appraise-time
f# R2 ]$ m# Z8 {' F;;当前发生交易时的评价时间: r' y* P9 U! l; D2 l5 g0 c
local-reputation-now;;此次交易后相对于对方turtle的局部声誉! i* F( `2 i6 n& Z2 U" H% s
trade-times-total
- ?/ n: E* R) b& n. v2 f;;与当前turtle的交易总次数
- ?3 |& f8 P. Q; ?trade-money-total
1 \" d0 Y: b/ l, g;;与当前turtle的交易总金额
( q- t( }( m& `) v7 Dlocal-reputation3 |# w1 |- p& h, k8 O
global-reputation9 L: i0 x9 ]- b+ N- t7 {1 r
credibility, l7 h5 @3 O" S) O$ k
;;评价可信度,每次交易后都需要更新
# m. R6 T* \- h' ]( |" Q: ucredibility-all- j5 _& }; ^' j& 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
# x9 a* f& N9 @2 E- I6 I0 D6 h) a0 c
;;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
1 k* T. ]0 |6 i: ^0 r# _3 U9 H7 Icredibility-one
: Y' z& W# I$ X, D$ b;;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
) p6 v+ p, u, F: P6 |9 Q7 V; ~global-proportion8 G# _6 m; T U
customer
$ {5 a. g; k4 f B' z7 Z) i$ Qcustomer-no1 l2 J; C* H3 U& o' L
trust-ok
F; S+ j. N, E3 A. Atrade-record-one-len;;trade-record-one的长度
1 {1 @/ V6 L& D8 w4 o4 H1 a]) e7 @0 y4 p7 l7 m
& T& N. P! J8 Q W0 A" e/ ~;;setup procedure
: e0 W! p/ D" c% N
, y" p# {9 S/ i& z" h6 S& p" Uto setup, l4 L- ?" y6 i0 G4 {) W
6 T: @. Y! e- m2 |9 ?
ca" z8 M( f& W V. I
4 ]* }7 O M" S6 v- s8 K6 F$ d- Z4 y0 rinitialize-settings, H/ [9 |2 L) F6 d1 a
# K5 N1 y' p; I6 m
crt people [setup-turtles]
* |' T0 H& d6 _2 r) q
- A% x5 r1 R7 x, hreset-timer& R- ]2 L" J/ L
/ ~+ U9 |) Z/ U: C( h6 |+ a
poll-class9 I) d O& y$ S6 I( z( P# [
9 O) L* L. k$ j* ?7 asetup-plots
2 `- o2 f# L6 y: Y) ?2 u
; Y4 \/ P$ }5 L0 p( }do-plots" j1 ~) N" a2 h. |" x# I8 F
end* k: N, Z( t7 `' c) x6 W
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to initialize-settings
9 G+ `6 K! `1 q1 C; N" J+ ^! p* i2 x. V5 P( j) b# _+ o
set global-reputation-list []
) ^0 n3 H- S, a: P
% ]* a3 ?, i8 T1 R: Cset credibility-list n-values people [0.5]
$ w& a) F. K2 U* _! }( Q- y# E
; W' Q/ Y- m$ b) w) ^set honest-service 0& F+ j/ e' j& c+ k/ q$ U; j) F4 t
( [0 R/ o+ H! i; {% v' Xset unhonest-service 05 e( V; e/ W; {/ N5 J
P( P/ ^1 ^" P* q3 f% Q5 b! ~set oscillation 0
s" I# C& H9 A7 P4 E9 o$ |. U: V4 m# t* D# n, k$ v4 z
set rand-dynamic 06 [+ ~+ O* s" |$ N" H) B$ A# z4 @) @
end
! S6 M( i1 v: y- o' S8 r, s
8 X7 y3 H( V& W, X3 J2 h3 Dto setup-turtles , Y A& y( B! n, l/ L$ s7 W+ ~
set shape "person". u) v4 @' w3 D% V! Z4 h0 g A( Q' i
setxy random-xcor random-ycor; s" Y. b! n7 k) T
set trade-record-one []8 _) T# ~5 Z, l* w7 w0 G
* A7 [( U) \3 T# L/ }$ kset trade-record-all n-values people [(list (? + 1) 0 0)] ' h) [4 s1 Z& i' o* Y& X- k5 F
1 E9 K/ U# D/ D A& {
set trade-record-current []
0 K* P7 j( B* a/ g6 Uset credibility-receive []
3 n6 n$ f2 W" R ?, jset local-reputation 0.5
9 d5 Z, a9 J8 `; ?3 eset neighbor-total 02 B) @4 K% S- _; [, h% J4 O' {
set trade-times-total 0) A( b- {( L* |! s
set trade-money-total 0- n7 B0 s6 ]; h4 f1 A. t6 o9 s
set customer nobody
, o# g: Z/ Y: lset credibility-all n-values people [creat-credibility]9 U Z, t# R8 ~( H! B) S
set credibility n-values people [-1]
0 G7 b( e7 `( z% ?5 s& }: g$ Sget-color
# P8 `5 z; B1 N1 _9 m* I& {+ Y) W5 J" G0 T. [$ C2 Y' H
end
1 q8 B* T1 f% O* d& L' R* i9 \7 I* B1 O5 s* V8 u' t/ E
to-report creat-credibility/ F+ v) H* t8 N7 R. a8 E
report n-values people [0.5]( L. u) x5 p& j( K- z
end
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to setup-plots
7 V9 s! C. B" n+ y0 ^
; t! G4 a6 r: oset xmax 308 t5 M( C$ c/ G$ w2 F) {9 c
5 ^9 |/ q& i0 |8 L& e& V
set ymax 1.0/ w; X/ I, G e8 T5 K8 {* I( E7 @
9 T2 ~) H1 T1 u
clear-all-plots7 y% H7 n$ z) R v1 T3 w
3 t% N& R7 H4 j. l0 s7 J
setup-plot1, q s& q! Q# x, y+ Y
$ t. n: D2 W& f' l5 {$ P6 J4 F, w
setup-plot2
) j1 j% s9 Z6 Q" A; K1 t6 ~+ m6 J9 g, @# ]
setup-plot33 n! `4 t9 N5 t5 A) Q7 |* J/ }9 M
end4 W9 W4 o( [8 E" }
) P- ]+ r% p) Z# y; U
;;run time procedures
" G; B6 X- x; ^, Q5 }3 g
$ Q/ @0 C4 j+ y3 `4 n. J) Pto go ]2 R. S8 ]& ^6 g
" a+ b2 P! P! O sask turtles [do-business]
+ T( A+ N( L) X% C% K: i3 ^* _0 Nend
7 k: |" E& T% ?/ J* I# _
! M8 f$ Y- [9 D6 Z: m' T( cto do-business & G3 i$ m$ ~- y' D6 y
T7 |9 i7 Q9 e6 x f! m4 G8 C
8 H" v+ E, D$ j( _8 Srt random 360
2 ~- O P! v3 t" H' q( V8 U
e F2 _% x* w2 o: L5 Efd 1
" P$ a- K% U7 a. g! O
( [- M/ m& _" [+ e" J3 Bifelse(other turtles-here != nobody)[
" G8 u- M: \5 V8 l( y/ c7 G& g; c% K; C: t4 b1 O! f' _
set customer one-of other turtles-here) a! l- d+ j6 L, Q( o3 G
. ^ B$ }/ l; P- f, Q' |8 K; T
;; set [customer] of customer myself2 n7 R9 D, I& C" \ Z
9 E. W0 M Q1 {: m8 o! Qset [trade-record-one] of self item (([who] of customer) - 1)# U% a9 A) a r L
[trade-record-all]of self1 y; A+ a2 ]2 v( f- w1 E
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self) t1 d' o `- e
* g0 {2 j" V, r4 @& k9 @: b2 a
set [trade-record-one] of customer item (([who] of self) - 1)
7 t( V+ |% |, r[trade-record-all]of customer; ?$ M( q* g. X0 c! N6 A; o
8 R! A" s7 T1 x( _2 f% Sset [trade-record-one-len] of self length [trade-record-one] of self9 Q- k9 L1 Z. n8 [. B+ J
, H4 B* E& p0 k: C0 }' [$ qset trade-record-current( list (timer) (random money-upper-limit))3 h! X/ S' G2 L; ^+ c% @- P& @
h& f5 P. y4 E6 j+ u: j& `
ask self [do-trust]/ r8 S; S1 s& U# _% a3 e& G
;;先求i对j的信任度
6 h. ~( P% D6 q) ]- {
, u2 D4 e) |' v/ ]if ([trust-ok] of self)
- i( _) Q& X2 }; ~& y2 b. ?8 k;;根据i对j的信任度来决定是否与j进行交易[+ K+ k+ T4 \. y9 I# v. @7 Q" t4 x
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself+ r; ?" O; R, q6 K1 W) T
$ O4 E) V5 j( g' Y4 _* _
[/ N3 G/ r, _# b+ m1 H
. E; D4 x# r% k4 L* _/ pdo-trade
" ?7 r# A/ v; W: G( Z
! Q4 R4 M- w+ H- ~, ~# T2 Iupdate-credibility-ijl
4 n2 a8 F( `' k0 j6 t/ B. v" z
2 G, k/ @# {# R; j- E8 D wupdate-credibility-list2 X/ W- H$ M: [' d* b
0 j1 T6 A* P2 ~2 {3 ?' o9 [4 T+ ~- l
update-global-reputation-list
8 r4 F3 |- t. \
6 h2 B. b6 k: _7 n4 y0 C0 npoll-class+ v) Z8 a$ w1 \3 v) L
% B& p( @* U! m0 \0 n' C; l
get-color
2 o4 U+ { y- G2 R% m3 k+ P1 `
, o7 e, m" Y) O3 }! K; V]]
2 E! }; ?+ b) I5 o- h! O% g* D: i
9 n* Y0 I v* `;;如果所得的信任度满足条件,则进行交易6 H. J9 Q* u7 p5 ?: A: u5 R9 A) A) l
2 I& m; r; g- ^/ L( Y1 Z! H[
4 _3 G: S* X! g6 {# f* `
' I8 ^7 f8 M& x( t2 Ert random 360
) g2 C3 H1 y7 G+ L6 g
2 f" s3 j3 e6 bfd 1
C# d9 g! _* P1 g
( s( X1 T& ~$ r; [9 G]
9 t0 I, w7 m- m/ Q$ r+ R! Z" B$ ^. t$ N
end; q# F( R# C/ X, \
3 H# a9 m9 u6 j" Z+ L* R. kto do-trust " s! K! Z0 J8 ]( P# F* g; m% Y( p
set trust-ok False
7 b2 o3 `# x# i; l$ O" m% t7 ^
! ?4 |: q$ y0 d& q& g6 q, a
2 n0 F2 l7 R0 p" g# alet max-trade-times 0; P# ?7 g! p+ w) L* X. Z
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
. a7 N% Z8 M7 b, [0 T% Mlet max-trade-money 04 N! U. M6 ~' F& N5 i
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
- K D P3 Q4 r6 mlet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))0 i7 P4 I% H# Q- l
3 p$ ]) N; l/ D% k! _
G9 O; u# h9 s5 Y4 sget-global-proportion" [$ K% m3 k: L+ [* ?5 T
let trust-value$ W c7 p( j* a8 I) v
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)
: M7 p* g7 u$ U7 Z, H% T% P1 Fif(trust-value > trade-trust-value)4 x" Q/ o, k/ K; j
[set trust-ok true]
3 i9 c5 _4 I1 o: {4 Cend) \) b" J* N; l6 F) ~! g0 n, l
; \2 b9 A- e: C" w( y0 R6 wto get-global-proportion$ f. E3 E9 Z- u3 t' U! F6 Y
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)# h. [+ g R7 W7 u, ?" q
[set global-proportion 0]& ? m2 [* O2 q
[let i 05 }/ {6 O$ `6 Q7 \4 C
let sum-money 08 V* f) _. o' G k: ?
while[ i < people]$ n6 s& S( O8 G' J
[
3 H( X6 d/ n4 p# z) Yif( length (item i
( x$ S% h$ l1 \; Z1 [[trade-record-all] of customer) > 3 )
6 y% N% J; N$ I9 [0 V[1 V. `$ Q4 V9 {% L; K5 a
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))( I/ x7 B# b+ Z6 m8 y
]
: N; |& h% c; b- r: []
* Y. ~' E/ e4 { klet j 0
, V* }$ h, @% ?$ L1 Mlet note 08 X2 [; q" R1 ]' l' V
while[ j < people]. z; c, S+ G$ W" I/ z1 g; f
[
- o: P# ~' V4 j1 p% Z5 ?. dif( length (item i
, c2 H/ T4 P+ O5 C- |- s: O[trade-record-all] of customer) > 3 )
- j$ S1 l. I+ i, Z- C[- @6 r- Q0 U7 J2 {
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)! P6 a* B5 t* B5 L" U+ S2 Q
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]% l" K! n! n" W$ s; ^! B, k9 b
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]' m, @6 L( \/ o4 O2 ]9 b8 e
]
8 N* u* b1 ? M- g% A& y]
, {4 ~! d9 V0 E& Bset global-proportion note* v3 T+ x% G. s) f& I- J
]
! [( S. a W" D4 A+ }' _end! @7 x* A# X; b/ v- d7 Z; L" A
" ]& E2 ~3 _8 S+ tto do-trade, `+ p$ r9 h- `& ]2 ^: a V
;;这个过程实际上是给双方作出评价的过程8 W8 q* V2 u! m3 {6 k5 \, z& `
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
' i: S+ z; O* _8 hset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
" w9 I7 f) {8 D& kset trade-record-current lput(timer) trade-record-current i9 ^) @) X: \, A
;;评价时间9 c/ E: E. m& J& b& I; O1 ]6 m
ask myself [
( M9 E; A' [2 kupdate-local-reputation- V* v) U/ Z7 d# p7 k
set trade-record-current lput([local-reputation] of myself) trade-record-current
( Y/ k% x( B K9 x' h: x) f]
3 |5 u) a$ I h. P. Dset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself' M0 }' I0 I# r+ z; g, q8 Y0 Q
;;将此次交易的记录加入到trade-record-one中
( w, O u; I6 Vset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself) x5 k) Y* B# u( u1 R
let note (item 2 trade-record-current )
& H: F% o" W) ]: o2 R9 xset trade-record-current
9 v- V4 G0 G' \# }(replace-item 2 trade-record-current (item 3 trade-record-current))
. T: Y$ ~+ F9 B. i" H) ^set trade-record-current
9 O/ v' i: b3 ]" n( u) c(replace-item 3 trade-record-current note)1 J/ e. R1 `+ W `9 _
n$ i; `* i! D ^* L0 Z; h
$ u& g! T& }) F: u* |1 cask customer [
$ F# M/ b+ H) uupdate-local-reputation9 [5 t I; Y" f
set trade-record-current
# g+ n% g) i" f% j0 F9 R) P(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
+ l' e) Q* H C* w( r9 z]
5 a: M. A8 R6 z' t! o0 [( T# H, P* k+ v- m+ b* H* ]3 A# _
! T, H% C0 L3 L1 t) ~4 E
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer, `9 e$ [0 B: ^2 p: L* ^1 V4 R3 G' b
$ i& o* U! }+ x2 D0 iset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
- W$ k9 G2 A5 y- @6 f# S3 Y! c;;将此次交易的记录加入到customer的trade-record-all中; ~# c/ j% Y( s0 [
end9 l M7 q t4 G
* B6 L- ^% ]& S! Q! yto update-local-reputation4 y) s( A, J* n. T- g8 j" H% Y3 D
set [trade-record-one-len] of myself length [trade-record-one] of myself
" _8 K) N# ]( M0 X0 `1 C2 S
7 Z5 E5 G1 Z) c! R' u
* T/ ]" z) S+ I+ M e;;if [trade-record-one-len] of myself > 3
) w j, U1 j% r/ Z9 A% k2 Mupdate-neighbor-total
9 R7 C: @3 W. v; K, s* e# E# Q P# X;;更新邻居节点的数目,在此进行
# z0 x7 z/ c5 }1 Jlet i 39 E4 T. T9 {+ N2 C1 G
let sum-time 0( r0 B2 I3 K. {3 Z
while[i < [trade-record-one-len] of myself] D/ C6 e8 e7 h, T7 p
[; ~# ^1 ?7 X5 {. V3 @% t( Q+ F
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )# {1 O: R% ]. Z# T+ |) C
set i
1 @6 j5 T7 p( z; S, i/ j! D( i + 1)5 M9 A' u4 N* K' A- K
]
5 |, S) R' l2 Dlet j 3
% v( {+ P: p8 u8 D8 Y- v& N6 S: tlet sum-money 0
6 m$ A H, |" u- R) Iwhile[j < [trade-record-one-len] of myself]: s% y }4 z: c# M
[# G; i( |! e# J0 D, e; v8 A
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)9 |8 L- j3 |0 L y* J) |
set j( ]2 R r' `% X( l+ l2 F% x9 x
( j + 1)
. e8 ~$ s4 A0 o V7 M0 z]
4 H) W* w, } m. s9 \3 Ilet k 3
9 m X: b" f% U X7 Q& w4 O+ X! d0 e# L$ xlet power 0
& C O# [& L+ V2 v# Rlet local 0- E' i- E+ V! \& Z7 _
while [k <[trade-record-one-len] of myself]
3 o( \, `9 r9 \( W: u& E0 w% |: w[
8 m' I5 }6 ^& A/ a* ^7 yset 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) & G8 D2 u$ {; w# F8 X' L
set k (k + 1)5 e! `. p3 I' F$ Z5 i0 E, v4 A
]
7 L& z0 ?# ~ q0 Q* b6 F& c$ Fset [local-reputation] of myself (local), C/ e! g* t2 j" { J; s! u0 a1 I
end
$ C# {- s! E* o \& D: e t/ e# s& Q
to update-neighbor-total
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if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]: J6 \1 O6 |6 [! B( ]' ^) F8 L. ^
4 l( y0 H4 ^ k" T7 Y) I0 ~, @) n
end2 O8 S! ~7 ]7 e, m* K/ d
9 {$ n7 U# w; [% O- D
to update-credibility-ijl 6 b' i$ U9 R! w' ~( P( ]# m3 }
& O( q+ I1 ^4 G( s. y5 ?;;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。! @# x- l4 X9 Q3 ^* V2 _
let l 0
d& Z; r( |$ N) Q Lwhile[ l < people ] T1 Y; F1 F9 c( [: I
;;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+ W6 K b1 ]7 V+ r) U7 R1 }
[
; n0 `0 m- i' k, s& j$ t; d( Dlet trade-record-one-j-l-len length item l ([trade-record-all] of customer)
5 z _5 o* Z t9 F7 ]& d( Fif (trade-record-one-j-l-len > 3)- J4 w- l, u/ P9 v
[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' } E% L- S/ I8 [0 R
let i 3; J; ^* [0 p9 i8 s
let sum-time 0
f0 j/ ~0 F1 t7 u! F6 owhile[i < trade-record-one-len]
+ f, b$ C+ L, K; d+ ]4 t. P1 s[- r5 U3 |2 ?5 Q2 k
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) ); b2 l2 p, m# r" A' t- R; F
set i
2 U0 V2 L: ^. A% L- |1 ~7 \( i + 1)
# y( H2 ^ O) k1 x; o. \6 T]/ e+ E# \8 Z+ v8 k% m. X
let credibility-i-j-l 0( t M, b+ w2 S. T8 P
;;i评价(j对jl的评价)
3 J3 d3 Y$ V8 h" _7 D# h3 k8 jlet j 3; [8 L) K: `7 t* R3 h% S
let k 4
; \1 r/ p/ R( L0 f/ z+ Jwhile[j < trade-record-one-len]
8 A) L0 j" @! \[
. A9 a7 J. D9 b2 D( Zwhile [((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 x/ \' X; b) X% J: r
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). D0 G' X' L: @9 S$ H' \
set j T( P2 O( j3 R0 V/ b$ W. n
( j + 1)
; z8 X3 T% ?7 s]
+ }! @; v5 {5 v5 B9 h8 hset [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 ))* r3 V5 J5 k+ U) @, m7 g1 c
; v' Z' n$ k/ r8 t2 w, T
) E( _* _4 W8 @# P2 w; B. j& x
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))7 w. @# Y8 a$ f) S' Z+ c
;;及时更新i对l的评价质量的评价$ c* r% p5 {' i3 E( j3 b
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
. l2 O" u7 w" f& A; Vset l (l + 1)/ p) J2 V4 D) _
]
, x/ [ f- X' e5 Eend
9 I9 ^0 [4 E- s9 c/ v$ T0 m& s: W& N1 B( ?( g3 X
to update-credibility-list! T1 A9 I T2 ]* N0 ^. P
let i 0
0 q8 g7 M4 P7 M8 cwhile[i < people]9 {' o4 O. f% B, H5 v
[$ T% N; x$ \! V1 G4 d7 N2 _$ f; d% Y1 v
let j 0
; [. z1 w6 E; zlet note 0
7 i9 ~. A, |4 g q! E0 Wlet k 0- Q5 H$ X2 u0 M0 E. g( I
;;计作出过评价的邻居节点的数目" a9 G, c. I' z$ V! Y- m
while[j < people]7 N& w/ [5 X8 t9 _6 I- ]
[
8 x" ~1 Z) N, D# Fif (item j( [credibility] of turtle (i + 1)) != -1)
. i9 B& ^9 \( J! @# ` f;;判断是否给本turtle的评价质量做出过评价的节点. W' g# P E- n. ^
[set note (note + item j ([credibility]of turtle (i + 1))); i# i$ N0 Q* A- E7 p$ z
;;*(exp (-(people - 2)))/(people - 2))]# [$ f& I5 i8 H* H& n h
set k (k + 1)
* }( t' D" O7 ~& p' S3 e]; l7 i! K1 A9 T$ h
set j (j + 1)9 \1 H# y5 g4 x. [9 I
]* s: R) o* x8 v9 B" c; P s
set note (note *(exp (- (1 / k)))/ k)
9 N0 [6 C B& |, m) |) w- y/ wset credibility-list (replace-item i credibility-list note)
& m |- H* H0 j. V2 Kset i (i + 1)2 u' Z$ E: L- U; \0 Z* R$ |% {
]
3 N6 ]# x f K4 uend. d9 N- c$ e7 s# _# {
3 j& r2 L4 y( G. ~( {to update-global-reputation-list
N2 P( s# l6 i- E9 i2 J" j$ Olet j 0- Y9 V# _# Y) K1 k& M3 w: S
while[j < people]1 K, t. Q- k3 [$ P3 c6 d
[/ W3 d1 [7 R/ Z# X5 U8 S
let new 0, N5 I$ P2 |" I l: ^3 ~
;;暂存新的一个全局声誉
. q/ G8 }7 W" u: `/ J( m3 jlet i 0
$ Y# L0 H' x+ P* _* e0 ~: z Llet sum-money 0
( x+ R% Q9 n4 q7 x% Jlet credibility-money 08 g. `$ @5 X: }( O2 g4 l) J
while [i < people]
. ]7 \7 c' s8 l, A/ I2 B, q+ y[
% b' e/ |8 `, Aset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))* P. i( t: F: b" _8 i, o
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
- J' c. S, C4 M- Y+ W/ J+ b: q2 oset i (i + 1)
, T: T; }: N5 i! ]]
7 B. {, N* {8 Y) Elet k 0; ~0 q$ r$ _% I% n$ W
let new1 01 R) w3 ?, t& ]" D
while [k < people]5 {% b/ ?0 j0 [: ?
[
, G# l: z- S8 Z( f* M% {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)
% p$ M, a( N' [. r( s; ~set k (k + 1)
: E4 Q$ B- i# I- F8 n- |; U9 A]1 R2 F" u; ~" V% [
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) ; B& H1 ^3 V5 f; H4 w0 d
set global-reputation-list (replace-item j global-reputation-list new), Q% {# l H" Z% p
set j (j + 1)
$ V/ I/ f# B. C; X8 L] a7 @( a$ ^4 J/ g- x) t$ n
end
" s, o( @$ f: H6 D" z
' N$ }; q& p; y2 E/ A5 M* L
, a, ^ H2 `6 A3 G
: `6 w! N4 a/ ?to get-color
: R: w, p1 V5 f3 S4 O) y8 s5 q" x
+ }0 r$ I0 g! U5 y! {, f9 {set color blue% b Q. x$ A' T) `8 ?# w
end
/ G8 d* L6 {/ p5 }6 _$ x- b7 @4 J
to poll-class
% i/ B/ A, X3 X! o, ?% ^0 b9 _" wend `6 e& i( J* z: f& ]
5 o) Q+ Y" s7 k3 m7 p- x
to setup-plot1
0 q* f0 V5 X) D( |- a% |; H( A3 L( G9 X, y
set-current-plot "Trends-of-Local-reputation"
+ u# C; K3 W$ y7 s% Y- U* E5 `; }5 d
set-plot-x-range 0 xmax
, K) G8 z1 M% h4 O4 j4 ^, V Q' K5 z- Y6 ^$ X+ \5 r
set-plot-y-range 0.0 ymax" i$ J. F6 V$ ^8 i' {
end
4 t+ `5 w) X5 Q. M7 H4 X) }5 E: f$ |7 k
to setup-plot2
. T- M B8 H! E' _0 i
, M9 z# C& s( i/ \set-current-plot "Trends-of-global-reputation"; i* |3 t7 e( ], H/ N
( Z! F" d( I/ Z$ k5 b/ sset-plot-x-range 0 xmax* _& B, [4 N w( B% h' V+ ^, _
# F% E, g% V5 k' H! Aset-plot-y-range 0.0 ymax
: s; ]9 c# \- h4 g2 l! ]end
; ~- ^8 ~- U+ |! ]# j, n# E7 g- P! g: H; }) M
to setup-plot33 ]" X0 x d3 I5 I6 P% T8 \, p3 I) t
, }3 F1 [9 f' `) ?* j" r4 t) F
set-current-plot "Trends-of-credibility"0 }; U- }+ B( p! D; \
1 K" Y$ e% { X/ W( G9 q
set-plot-x-range 0 xmax
5 u; p) w: G& l1 ^1 x1 ~0 Q8 H0 H3 j' X: t& }. T5 ]
set-plot-y-range 0.0 ymax
0 ? W- V1 N8 \end
* E- o/ U- @$ i$ S) I+ h) s; s) x( N; p$ H7 |! ~
to do-plots( ~7 r% F6 o' T/ C. i, I3 {
set-current-plot "Trends-of-Local-reputation"
! m. k& W6 E- H' q r: Yset-current-plot-pen "Honest service"
B% C0 N! ^/ c7 K' aend. k: x) q& x; T) Q% p( F
. {( m! l( g7 d2 J; x( D$ [[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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