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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
0 y& R9 a! P1 e ` |* N+ yglobals[* d9 l. n: a4 f" i$ s
xmax
2 X7 `; C: ?, ]! h- z' l" ]) {+ Pymax
1 d7 K. D R& k8 t. l1 Aglobal-reputation-list9 g4 h; |, s' _0 L
. L; x3 P1 p2 T
;;每一个turtle的全局声誉都存在此LIST中
9 M# E* ?1 A; o2 mcredibility-list/ _2 c- `& ~3 X8 a
;;每一个turtle的评价可信度( w4 ~/ @, \# v$ X
honest-service
! [; t* b, c0 l9 i/ T& m7 d4 t* Ounhonest-service1 o5 j$ v) W+ ^, c$ q
oscillation
5 w) J) x: w! ~9 p. Krand-dynamic
2 o' m" c4 ^' A) A1 J3 f. \' A]
6 f7 O5 Q; ^$ r2 S5 G1 L6 E3 n+ V3 d: t$ V8 `, t
turtles-own[( [/ I+ d/ H+ }" f
trade-record-all
6 R/ @* x v" y4 j; i6 `( n: m) R' };;a list of lists,由trade-record-one组成
; D& M) p4 A- u8 I: [# U& [trade-record-one
v! [& u3 O9 i;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录% c* H3 O. J# r
( m3 S, v$ Q5 `/ T9 p6 d
;;[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]]/ E! d5 J5 b7 e+ o& w- M+ B
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]/ |; v z* S3 y
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 J7 g6 c. S U+ b# q2 Q- z
neighbor-total
. K( N( ^2 C$ i+ A- c! o;;记录该turtle的邻居节点的数目6 Y$ T* t9 \: W7 P% V
trade-time
: u# e, W; {( N9 p" G' C* E7 p7 m# Y;;当前发生交易的turtle的交易时间
6 ^- _4 B. u& x ^- Q+ a' Xappraise-give
A9 e4 t- W, S1 C6 m;;当前发生交易时给出的评价
; J. |4 x1 o5 w) S iappraise-receive; b7 O7 x3 C4 Q+ t6 I4 R9 g, i
;;当前发生交易时收到的评价
/ ^/ M) J) ?, x) n9 ~appraise-time' |8 Y# Q# `/ B- J" V
;;当前发生交易时的评价时间
! r3 _% R: \9 H Klocal-reputation-now;;此次交易后相对于对方turtle的局部声誉! Z% ^% i0 u R- E0 Q1 e
trade-times-total
$ Q- o6 ^" O+ V1 k;;与当前turtle的交易总次数3 }& h7 W/ g& A8 u3 K
trade-money-total) H# i1 f# u2 s& n/ l2 J" R! _
;;与当前turtle的交易总金额
, ^5 c8 j0 y# B% R+ d: _local-reputation' Y/ f/ c) C; W
global-reputation
% y7 C* R; I9 q. l; q0 Vcredibility$ T m$ X9 _4 b: g) m; `
;;评价可信度,每次交易后都需要更新7 P7 p- {4 {1 G
credibility-all
7 w2 z! d9 m9 o2 X( i;;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1 ~8 c( z# c: J! X* t! u
! s% J& ?1 }8 H+ g
;;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" I! k6 ~" G% y7 N; n+ P+ S: y
credibility-one
5 Y& _3 j* j7 {" b! y( E/ W;;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
/ p# r, N- i3 l9 R. j: I2 D1 pglobal-proportion! h/ ^, P2 f; n9 O
customer
; R x$ N- M# W2 `- lcustomer-no9 k7 G+ Z2 L' \9 e, x
trust-ok
8 `7 @# Q1 q* \: T& ]trade-record-one-len;;trade-record-one的长度
3 X$ a. {7 S/ O( h9 s]
4 Z- k, q4 N n* o: {1 A
: o# K9 T! o( Y$ C;;setup procedure
) _2 y; v J. B: S" S5 Z* u0 r' z. {0 r1 k! I$ m
to setup0 o: E) d. m4 f3 A% e
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ca
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initialize-settings: C( v% \3 ]- P) ~# J8 Q% D, u7 }
0 [, n, V! P; a$ ^
crt people [setup-turtles]* \( p. K2 y4 i2 A- Z
* y. K p# ~1 b5 [( W% ]
reset-timer
" T# F6 I/ r% P' A. G& z
$ o9 I! X1 D+ |# Ppoll-class
$ E7 q7 b6 M& u% Z& K
9 T" q9 M$ b& L* @; dsetup-plots
" d% E# h" d v. N# A; h6 n1 B! P _7 r( I
do-plots
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. N! p1 B0 @% I s4 ?4 V+ v o$ zto initialize-settings
3 C, J8 i6 y9 p* R4 `, p& Z4 R
9 @: {1 w9 F2 y4 y E* Vset global-reputation-list []4 ]) v5 Q) B; ]+ Y1 `; _
5 z K2 ]2 U& w8 U9 w# F& K0 l' z
set credibility-list n-values people [0.5]
6 x3 t+ x8 \/ t2 N( W) X4 `( K
8 K1 {/ n7 h$ F6 A3 Lset honest-service 0
1 Q2 ?4 z2 ^% x9 U
3 P6 L) x8 k$ T: @& ]6 S$ Vset unhonest-service 08 q1 p/ }6 M+ B# V# ^
8 [1 N) o- J: {+ h/ }' c2 ]
set oscillation 0; ]# m! G3 h& X% k; ~7 u6 Y- {
& G2 C9 i3 j8 u x- X) E$ ?# Y, q* ?, ^* dset rand-dynamic 0; u# c3 J6 q& z- t8 o
end
$ [. U- B/ P. K" H' B$ z& c) S
# w3 k% M+ [4 X" l5 C! Jto setup-turtles % j+ L" c! O2 s0 e& L
set shape "person": E# B8 E# M z( W1 e% E( F% A# B: `
setxy random-xcor random-ycor
# a( p! \& j1 c+ i; b0 ^* nset trade-record-one []* }% y0 _/ V: s& P1 ^/ x
' C% C$ C q/ w4 \1 A; kset trade-record-all n-values people [(list (? + 1) 0 0)]
( H# f8 V# b7 ^! O% N8 m
% W2 l2 p/ `' b3 @9 o8 Q5 ?4 yset trade-record-current []
7 b! _! q4 E R) X8 Hset credibility-receive []8 ?( _$ u4 s+ W* _
set local-reputation 0.54 f2 S" O8 _+ z$ M. \# `7 e
set neighbor-total 0, M6 p# O; F+ k1 Y7 F: {# _" [
set trade-times-total 0
" J' w7 [2 d% M3 aset trade-money-total 07 X3 i" }- C4 |6 h! c9 i
set customer nobody
' s" o. W. p. b L. O! lset credibility-all n-values people [creat-credibility]$ \) B( B1 f/ C( F @& ]
set credibility n-values people [-1]! X( Q9 v3 a8 B# x
get-color& ~; J& O/ S/ _+ i0 M, q) p; {1 F
% D1 ~! _3 R/ H$ ^4 _+ Oend- n. O: | i; _- w
* L0 Q% D5 @6 F7 }
to-report creat-credibility, b5 b. Q1 a5 O) Z# }5 ~* M
report n-values people [0.5]
d# @2 [! r; p: @! Cend
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9 ^& v- Y9 u! I Q Lto setup-plots' K4 r/ g& N( J
/ z5 l0 r9 M' y7 X2 u. Q# rset xmax 30. K# j- n- t# |" M5 b3 d# w
$ x6 M4 @. o* @8 }/ J& C' i& ~set ymax 1.0
0 C S" l: s f. V8 C& \3 M5 l
clear-all-plots* x9 t+ N3 \. V" V5 h, G9 y
* ^$ l0 F' ]/ ksetup-plot1+ f- |, E' V) s7 _" R3 S
G5 N$ Y; x8 E$ Psetup-plot2! c+ g; ~6 y }' r6 J
; O4 T: ]% g, h2 h! V7 l/ m# o3 A1 K
setup-plot3
4 l* d; u( h P' p5 {, C( wend
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( C8 j; t: G8 ]! `. M# n/ p;;run time procedures
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to go7 j; l- P8 S3 O$ l2 i
! }& N8 R5 |7 \5 G5 [( g: iask turtles [do-business]8 z; c3 T; T2 c, k. Y+ H
end
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& e4 w5 P# Q1 P" J# ?+ n% ato do-business
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9 |+ \2 S. G% W R, y+ ~
rt random 3603 R% E9 j# _5 L' w9 m5 ^/ n9 [
' g1 Z) e$ x& ~$ X* }7 J5 J
fd 1 ?1 s; ^0 n: F: Q3 L/ B; i
9 {4 l% }* q$ O+ y3 V6 Zifelse(other turtles-here != nobody)[
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' D2 a- e3 w t2 @9 eset customer one-of other turtles-here8 b, j* _0 N' M t) Q+ Z m
6 H9 @7 }( ?: O* f, y l# k& @
;; set [customer] of customer myself+ W& Y! u0 s5 t9 s* J
! O) a0 ^% M0 U( @7 }! B9 yset [trade-record-one] of self item (([who] of customer) - 1)9 a4 V) E! r: Z9 f5 p1 C, E
[trade-record-all]of self: a# ~+ E- M' g8 x
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self1 S7 d5 V/ K& }! ~1 x# }, v( K) M# j
i. D7 i/ P$ Sset [trade-record-one] of customer item (([who] of self) - 1)
7 x; c% I3 Z6 J5 a. B- w$ R[trade-record-all]of customer
# q" \9 x& ?: r4 W! Y7 D# g5 m) F0 J, j( c: Q# E5 n
set [trade-record-one-len] of self length [trade-record-one] of self8 B# U4 Y# O9 ^6 B
7 D. e8 n9 b) G* v% aset trade-record-current( list (timer) (random money-upper-limit))
! U1 e' Y% R, F* b1 T* b6 S; u5 `4 g0 m, M j
ask self [do-trust]
: W) L q5 P9 T0 j;;先求i对j的信任度7 j c" ~; j9 {0 W+ c
8 B8 `5 g, K/ L/ W" Z% r9 W# M/ I
if ([trust-ok] of self)* J7 N& y) p4 V N
;;根据i对j的信任度来决定是否与j进行交易[
% _* A/ ?5 Q4 C; _! yask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
. T6 C. h1 u6 ^' i% z' O2 \. [# l4 x+ l5 M( }
[/ F' m3 }8 t# w" V5 `! m% z& X
4 q& d6 Q) y8 f. {" E0 [+ y# ]7 r9 Mdo-trade8 f5 l, g+ c% _% v
7 ?, _% w# `) o% z6 v5 uupdate-credibility-ijl
8 }6 K7 ]8 M, |+ Y) r4 _. n
7 d3 U. a2 e0 ~6 rupdate-credibility-list) L$ ^% h, P+ t
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6 b7 `( F: ?. I. ?, l, }. Pupdate-global-reputation-list: J5 Z" z9 V; m4 W
, i5 x- N2 ~4 h3 l7 F% ~. k4 S
poll-class
; ~0 y/ G5 K( j% ~
4 Y: _, j$ @' X! S; Vget-color
* A% w/ p0 _& o, E4 A0 C, [/ O& V
]]) n: ]# j, t9 Z9 L
, q7 J6 ^* d1 Q;;如果所得的信任度满足条件,则进行交易$ @7 G" A5 {+ {) N4 H }9 b
5 F# g. r. j, S6 ]* `8 D
[
& q& p$ K: b$ T. W2 x
, `/ Y+ I$ @- {" ?0 trt random 360, j3 Y' {( e- z; W9 Y1 J
' E9 I9 \+ j5 }) \) P
fd 12 Z9 N, [) _ N. J( q2 {
/ Q, b, M8 c5 \- s]
5 L) y5 L5 i! U# C8 b" v5 Z/ K3 e: {: g. X
end" ?3 h( V; j1 \$ s7 L1 y* Q2 P
& o+ j7 }; h. e, J0 V2 Z$ Xto do-trust ; G4 T. _% \: y% x. |5 z( @9 T
set trust-ok False
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7 ^9 x4 c( c) q' j2 j6 I# }% i: a0 c
let max-trade-times 0
" l; X' v. n9 F% ? A8 Nforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]( s. E$ h5 P' x6 N5 y, w
let max-trade-money 0
; [9 N7 l" t& H6 q) ?foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
9 v# B* ~2 Q" F, hlet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))- j# `6 A; u& {2 b
c, P5 U |- h. a8 J2 i- P3 z
. m& ^, N0 w' ?. t
get-global-proportion
" i0 i0 s5 z, b) }! d4 c3 x. Ulet trust-value: V5 j1 p5 D c+ T2 m0 K& R
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)% b# Z6 T% p9 G$ Y" z* {9 r
if(trust-value > trade-trust-value)3 ?8 D: f" X+ a& v% W% y
[set trust-ok true]
. Q" l, {: i" x% T, F' L) g9 ^end- g5 ]$ B: ?7 O* v% S- C
1 n# c" u+ q# m5 E) q( @
to get-global-proportion
3 v/ B1 }% ~+ p. Y' Gifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)6 j) D: }% w9 d% v( ^$ i# O
[set global-proportion 0]
: C# `" x F5 x6 D( M[let i 02 t! F4 {6 n7 g8 I! B3 K Z
let sum-money 0
! [, a2 m* ^" m& g$ [8 Y+ r* wwhile[ i < people]
- C4 V' d( Q D[
/ v. x, M/ D' ]$ n( d# Qif( length (item i
8 v0 _: U( h. S) y6 W4 P3 X( F[trade-record-all] of customer) > 3 )7 h `# T T. D! I4 P9 p" `, |
[4 u/ @% a& W6 ?2 _2 b( I4 u
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
. X0 v/ s, B! e3 \2 }6 n$ }6 n]
1 ]& W$ J6 P+ q3 g]* z- f3 j/ E6 p$ M/ S0 x- B, M8 n
let j 0, q4 T9 `9 z$ B0 V2 o" P
let note 05 x/ g3 z. `: N
while[ j < people]& A" p. N8 Q- n9 t }6 N2 r8 k, _
[0 Y1 f& Y! \: N3 ^, D
if( length (item i x1 C$ @- B7 l' U3 J9 ` M
[trade-record-all] of customer) > 3 )8 n+ q7 G+ }( R. v
[
5 i$ m: d4 w' C+ H4 Z* G, n+ kifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)* y* t" r& E' _) [" }5 f
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
: g, p! l/ b! J* q1 [: S8 z9 H[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]- w) [# y6 V7 v/ M' G( A! |& d
]- n) J, N& i3 q" s( d+ f) N- Z( F
]
9 h; q: T# H6 Y8 vset global-proportion note
0 [7 O$ A L+ I. I]
: q6 }/ \& S, C& y" [end
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to do-trade
9 D" C/ [# B- x, c! o! |4 R;;这个过程实际上是给双方作出评价的过程( H* k$ e- G- m: C
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价& d4 m+ r, h8 p6 k* I
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价5 b' O- ~0 j9 K' g! \
set trade-record-current lput(timer) trade-record-current
% G4 X! k6 W# G- p4 F5 d: l; n* q;;评价时间0 F: y" C' m+ Z
ask myself [
. j& f3 O8 v: L8 H# L1 Qupdate-local-reputation7 I- }8 u B' L1 \
set trade-record-current lput([local-reputation] of myself) trade-record-current
7 r; \: x) u5 K; U+ x' I]3 l: L- b+ E* K+ C' `& K
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself3 Q0 v6 e' p* i
;;将此次交易的记录加入到trade-record-one中
- }6 w) y f& {9 P) b" M0 N* Q: Cset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)* l. F& R2 P8 m/ x6 A) T
let note (item 2 trade-record-current )3 N. v. y7 s5 q# w0 n% x
set trade-record-current, a7 A" u& l9 |0 d& |+ X, e
(replace-item 2 trade-record-current (item 3 trade-record-current))
& p2 ~8 M& u! j# Fset trade-record-current! i/ _4 {1 ^: U- G4 y& _- x
(replace-item 3 trade-record-current note)
' S+ h! b3 J$ `% {5 q+ V& u. f
+ m' s$ i {% i5 s/ z/ I
ask customer [
% Y0 ]( @0 Q( S& n3 Y. x: vupdate-local-reputation
$ `2 t8 O- x4 u2 \3 q4 Xset trade-record-current# m1 @. L2 b! y/ ~% k' W
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) / @; C8 G' c4 K1 Q8 p) `* z
]
5 E5 f* e' M& x( u0 l+ B, j0 A( J* h
/ E$ c* R3 C! E) W" @set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer( X* r# v7 O( l
- e8 L% ?" y w2 j K5 i- Y
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))3 A3 C- [$ L' t+ U% n3 V
;;将此次交易的记录加入到customer的trade-record-all中
! h+ i( z! d- |! gend
6 c1 x! l% ?' r8 z0 H" u$ Q" p! R2 n8 e9 t
to update-local-reputation/ s6 G8 P4 j f( |) m
set [trade-record-one-len] of myself length [trade-record-one] of myself) Y1 Z6 K" G& G: W' ^
R: F ]& P# t! ^3 g) @' w
0 q' d( u0 f; F" w;;if [trade-record-one-len] of myself > 3
2 t$ w5 A; C1 u2 v' A* Dupdate-neighbor-total
8 |+ \/ M7 t, M b% x6 E9 f;;更新邻居节点的数目,在此进行- O3 ?3 `& S, H, s' l' Z. f
let i 3/ Z7 T5 y: a1 q- ~8 H! U
let sum-time 0
2 o. `8 v$ ~4 }1 e% twhile[i < [trade-record-one-len] of myself]' y8 f; b, e, v5 c1 ~% @
[
8 [( w4 C6 o# \- x4 A: Nset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )0 k* R$ e. N8 C+ u$ O/ X+ g) @
set i
4 m5 _1 F. D' Q/ t! c5 Z( i + 1)
2 T v/ G; _; _* f]: ~2 ]' i8 D% U+ d p) G
let j 3& t- `4 H+ ~$ \* m+ c/ R3 ^! v
let sum-money 0
6 V! a* C! g6 o) m% T0 @while[j < [trade-record-one-len] of myself]) H! a4 a8 C/ M5 t9 f5 u
[ R5 N5 j6 M) {; h! c3 F
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)
. ^! C6 ^7 }* W) [/ q; lset j
, R! e: C# T# e$ w2 D* n! F( j + 1)
, u% e5 u' @* U]
1 w8 f U! \& @2 M0 i" dlet k 39 G$ C9 p$ _; ?( ?; o9 a% L
let power 0
; i3 I& x$ G/ l9 p8 e( b- W8 Plet local 0
0 d3 Z2 u" c) R Ywhile [k <[trade-record-one-len] of myself]7 u9 X5 |- L( u% f
[5 c9 k0 P) i6 A
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)
: U9 W6 d( {9 Vset k (k + 1)5 Q" d, m- J8 X
]
- b; r; Z/ y) e8 bset [local-reputation] of myself (local); [4 }' j3 E% T" J2 _: x0 f1 |! I
end
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to update-neighbor-total
# w; U" i& [" }+ z* g2 N& ]& }9 s. K% X. `! Q+ [9 t8 I% G& g
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
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$ {2 W, u2 S- U8 ^, Z; y
end6 Y2 \! ?0 T% y6 i. n! T7 S# I
7 I1 f6 W3 Y3 p! A+ p6 oto update-credibility-ijl
5 Z B+ o& U) g" Z ^$ ~
4 M& d- v0 g) A" c;;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。. F9 n$ W7 r, a( N
let l 0
7 C0 q: R3 }6 }; z! g' a6 wwhile[ l < people ]
" q4 V5 e% f5 V1 p6 x& b$ R' [" f6 R;;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 v: D6 K0 t( s) I
[2 H; p1 K2 t" K9 l
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)2 Z v. ~8 T( o( F p/ r* c1 X
if (trade-record-one-j-l-len > 3)
! Q4 ~4 e" ~: w. t7 ^[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
2 ~) W5 w* F: I+ S0 C- X) k Olet i 3
& K& G! ]& D/ m1 S7 Vlet sum-time 0
. X& U! Z2 \ ~ A9 P) ~while[i < trade-record-one-len]
1 E) j8 e5 \7 J6 B' K[9 J8 s! d X8 @7 u' j: O4 ]9 B" i
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
& ]- s9 z D7 p; ?. pset i+ J' o2 Y6 N. d/ d1 Q) P
( i + 1)
3 F! w2 k- K# ~0 m N1 Y) W]
K7 D/ b0 K9 S0 s* \, G6 N' U0 ?let credibility-i-j-l 0
, a0 \" M+ p2 l+ E;;i评价(j对jl的评价)% {& R" A2 P6 G! Y% P- g* G. m6 R
let j 3# ]& e" g' L$ F3 S3 ]. E
let k 4; p( e" E/ t, G0 U1 r4 N
while[j < trade-record-one-len], Y' |6 J- C& o [- P0 w
[0 W3 d2 U9 Q. e% v& Z |% Z
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
% s0 I9 `: ]: N# R% |5 _7 y5 Y, Wset 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)! x$ v( T" `. X1 G
set j2 h3 Y1 I/ e6 M6 |( x( w
( j + 1)7 d0 E2 {9 \# i+ O: ]
]
* |8 A: ~/ Z: G9 w4 n5 H. i( 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 ))
" a: y6 V% t* _( o* O4 N- Y( q0 E; K6 V* |/ _/ z
7 _: l3 \* O- r3 J# Z Z6 S( E
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2)); T% ~9 N' `3 c( Q8 ~. v Q
;;及时更新i对l的评价质量的评价
4 W; Q1 Q$ x- ~( x& g1 d+ Y wset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]- n2 H; o; s8 x) \" K8 n5 R2 w7 T
set l (l + 1)1 Z4 A! |% A0 |# i: L. |
]
2 t$ ^- I' _- s* Rend/ j# c- P$ i5 s* v1 y W9 u
+ O4 c7 B$ L6 q: y
to update-credibility-list
* ~. Q, N9 P5 k& V2 ylet i 05 j) @' x% N6 e+ y4 o; v# t
while[i < people]
5 W9 i3 j3 i' N- ~[
/ k& r e1 N& qlet j 0
1 |+ F* \* D4 L$ Q' U0 P8 R9 tlet note 0
# `, f0 j- Y2 P \let k 0
) U- e! `) r0 G. w1 H9 D0 e4 B9 ^;;计作出过评价的邻居节点的数目
/ n( @* j. ]7 _" _1 Mwhile[j < people]
) ]4 M& z0 J8 W. u; ][, R; v: j0 n, V! Q( B
if (item j( [credibility] of turtle (i + 1)) != -1)- r: |& m, s. |! k3 U O
;;判断是否给本turtle的评价质量做出过评价的节点$ b% ]: \; N9 t l I, o
[set note (note + item j ([credibility]of turtle (i + 1)))
* x7 ]" I8 D5 D b, Y;;*(exp (-(people - 2)))/(people - 2))]
4 a( t! L& U3 W5 w* w5 Yset k (k + 1)
0 X. {; ^$ S7 [; u7 M9 {]' \0 o, y. e6 J" z6 f
set j (j + 1)
5 v' N# R/ @2 V8 w& {]
. M: S7 M' Q. B+ [! ?; G0 t3 w- f# I! `set note (note *(exp (- (1 / k)))/ k)
% D- ?9 p2 N! k1 f" P- C& L+ [: Bset credibility-list (replace-item i credibility-list note)
, ^* C, ~) P, k; |set i (i + 1)
' H( G% ]4 \0 c; V5 n8 []
+ W b. g6 ~. g9 i6 G' w* V W* e9 Tend
9 s/ S0 g S6 T2 T: d% F; G' ^6 D4 W
to update-global-reputation-list
) d# x6 `3 f w6 M( E, ~- Clet j 0" S; B$ W1 c$ Z0 Q, Y# e' i
while[j < people]
: u `0 q6 E+ {4 Z V[
. _8 e) K; O% h) Y: h$ J4 Clet new 0( u k0 y: c9 J1 Z0 O5 Q
;;暂存新的一个全局声誉) _% g( {+ y! d
let i 07 I8 c4 f& X& i6 v% E: X2 k
let sum-money 0
$ \/ P2 H& J. O4 ]) [let credibility-money 0
0 i2 A4 |9 n$ D1 Y; D' R2 R4 h3 K# zwhile [i < people]
9 g( q" ^. m8 o% b[
- l! l* ~0 q, J" _set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
5 y* @, l4 y" ^, q+ \. iset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))6 |6 ?& x- }0 d9 k
set i (i + 1)! l( T: c% B0 ]! v8 _
]
6 O$ M4 v2 t' b: X! n4 Jlet k 0' A* m1 L; h- J( B' i4 A
let new1 0! i/ ]8 [9 T9 K5 Q ^3 ^
while [k < people]
! x8 _% O0 x2 l: L[0 J2 h2 f/ D- g* H/ Y. z0 s# Q2 b
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); ~0 k5 P8 B/ A9 G f$ X
set k (k + 1)) X7 ^* `; W3 Y C- ^
]" C) i1 r. F9 Q
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
5 l6 t* Z$ e. g8 i9 q0 k/ {set global-reputation-list (replace-item j global-reputation-list new)
. [! A0 U0 V' aset j (j + 1)
% O* J& ~' X( T$ ~- h]
+ n$ W9 \ l* y! Lend
( {+ [& Y9 j6 e9 F' f0 [5 Y- I
* i& w0 M. M7 q% \9 h; h# j; I
/ G8 S P2 H4 }! l& x8 W8 J3 t6 L8 \( A+ `
to get-color8 s0 Q* @- R8 O) G
- l u0 c; B* b* @. i m
set color blue- _9 B6 w7 g* L2 D. L- y: g
end
5 M' ]! @1 s7 O3 K# G
5 `1 }3 f; Y/ M5 ?. ~/ q8 R/ Lto poll-class3 ^& l5 Q/ [& R. M( h
end/ H. {2 [7 o5 a( _
* H o/ X, `% n+ H/ H& E0 Jto setup-plot1: |; U( R+ c/ ~! N, G* W6 O& ]% U
5 g2 c+ s' L- T) G& p
set-current-plot "Trends-of-Local-reputation"5 e* p- w- E( T, p+ u
% r3 a* f' e- d; t1 s6 `* D
set-plot-x-range 0 xmax
% i5 y% R, d9 R/ K# k* g# o) I# [ l% D$ I
set-plot-y-range 0.0 ymax: G7 p# F- O$ O8 K' G5 k
end! D4 u4 K! z9 u, H! `' T% [1 U) w4 l I
9 A, N# ?! y1 w3 N( g
to setup-plot2$ `4 r; a! m3 r+ I
7 r9 C& _5 z' Zset-current-plot "Trends-of-global-reputation"
! y, z5 @' k8 _2 [* n) _) }" Z
% ^8 Y& G( q5 q) m/ Rset-plot-x-range 0 xmax2 r+ G6 C' s2 ^, f
7 b3 \' F8 U) f, D( m7 vset-plot-y-range 0.0 ymax
7 ~. w/ n& J6 D" n5 n/ @end0 J( U$ t; A" U7 I
4 K2 z9 ]6 [/ S; \$ ~: [8 k) Ito setup-plot3, j: [+ A* e/ S- Z
+ f; l$ }; Y2 W' J9 z0 H5 b; p) n
set-current-plot "Trends-of-credibility"
# u) _' |& y9 y' h/ f$ @
6 m2 c. g, h% J4 ?- bset-plot-x-range 0 xmax
2 C; b9 x. K* y
4 Z/ }2 g8 T( z# T( C; D; {7 o' e* {set-plot-y-range 0.0 ymax
! M; y& j t/ N6 Aend# u! ~7 ]/ L3 m( O4 d
0 t- ?. N7 N4 t/ k
to do-plots" I s2 J5 S) T% v$ P8 L
set-current-plot "Trends-of-Local-reputation"8 m" ]+ M$ l, L4 Z' W3 D2 l
set-current-plot-pen "Honest service"
. b& p4 F4 c2 V+ L$ X+ j! L. H+ Hend/ I( f0 q: W/ ]( s' b3 e2 o$ ]' d
5 _" k" x! s6 x% z3 p( G) T4 y
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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