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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) U) B3 F k3 ~. X$ u3 s3 kglobals[
2 }. Z. O, q+ H, Txmax3 N2 i6 p9 d* A0 s7 ]: N
ymax
7 @7 K* i( u" k; R8 X$ Uglobal-reputation-list1 t) H; _6 @8 |5 n
1 o; I1 W! G/ Z5 r;;每一个turtle的全局声誉都存在此LIST中
1 p q# Z' ?. r4 W( qcredibility-list0 v5 S6 `' B6 ~; g! ~0 t/ c+ {# G
;;每一个turtle的评价可信度
0 V; f) K' l8 {7 U3 Dhonest-service+ T6 \0 f; A7 c" b' W2 Y3 O
unhonest-service
4 F5 P5 @( n/ A+ o5 ^6 D1 ^oscillation
9 U: j" _) \+ L( H2 Z7 Trand-dynamic
, d6 c' b2 g( D& ~]
( \3 M; L0 l4 N7 p
: W/ [/ P+ o1 _7 j4 C) Eturtles-own[
" N/ M# Z! g( x, \) x1 Xtrade-record-all+ F' R% I, C6 U R' E) M7 {
;;a list of lists,由trade-record-one组成
' O3 O4 N. }( htrade-record-one: b5 O6 E6 L6 c6 F
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
/ T- s% t& p( d7 b' {9 O6 Y: ?4 K, A
;;[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]]0 K7 G+ w+ [6 y- L# i2 d
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]
# x0 Y& n. {, ]/ Acredibility-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list2 y$ s; N- q/ y7 s" c/ r6 J
neighbor-total3 ~ k" n) d$ Z
;;记录该turtle的邻居节点的数目
+ Z1 J7 p0 a+ D* ?trade-time
* v( ?& e% k; ~$ O3 p2 [;;当前发生交易的turtle的交易时间$ r3 n* p( W# g9 m- B
appraise-give+ @* c& x. M. j
;;当前发生交易时给出的评价" I, r6 B: b$ @ Z" s8 u
appraise-receive
4 s- L4 `; H1 [; w+ ~' B;;当前发生交易时收到的评价, [% @7 E/ D2 L0 X
appraise-time
5 j( }7 _! r. p" L" K;;当前发生交易时的评价时间
7 G5 I4 v2 b# V6 Wlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
: S t5 w `5 {, d6 Ntrade-times-total
) C2 B# _. X! \% q" i& Z, i+ l;;与当前turtle的交易总次数4 Z" c# h! x; {# G, q2 a
trade-money-total( Q1 K3 H0 a S# O$ a) @
;;与当前turtle的交易总金额
\1 r' \2 y, b& ]- ^local-reputation
/ K* J8 c$ ^; t& R$ o% L6 q. }global-reputation j# I9 H& f% e+ f6 |
credibility
4 ?. _3 U8 B% G9 C S w. ~' J;;评价可信度,每次交易后都需要更新* y+ N8 H9 J3 w
credibility-all5 Q0 C5 T& `0 T+ P
;;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
2 R% C( ?8 m2 `5 N. n
6 I( `3 C8 Z R, q( m) f/ V;;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0.53 D3 Z; I' t" S! N
credibility-one3 w' K' j( i" A7 D6 {
;;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
+ w7 @, V, x" C3 gglobal-proportion
. d; F) W* ~! Xcustomer
" H$ N t Q/ r! v6 n& ]& S3 e7 Y3 bcustomer-no
" I4 |7 x" h2 r6 qtrust-ok4 V0 s$ I: U& H4 o. ~/ e( `5 V, G# g
trade-record-one-len;;trade-record-one的长度: O5 ^7 Y D- u+ z
]9 i6 [. d: X) p
( f: G7 a+ b2 h: E' V4 I3 p;;setup procedure
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% K$ q9 D% Z4 s* k8 g6 yto setup" j; e+ g* w( K p6 n$ K) O
+ ?4 C! ?* d% Q' B: ^+ \ca5 h. `) d1 k* ~* b) o, [ h
9 Z" e/ \. e: ]& U7 D2 b
initialize-settings3 }/ s% J3 |2 _- g* p4 [
, Y9 g- q1 y6 F) r/ C: b
crt people [setup-turtles]
4 Z |# X+ q/ S: t; v# K7 O" A; }0 v- a+ W5 S1 c1 S3 I. @9 `+ O9 ?
reset-timer: v* s! x4 J: N. z) z, w
8 u5 _. d$ S( Q1 x
poll-class5 S ]6 u; u0 ~% S
# O. ]% o2 m# \# hsetup-plots
5 |5 T9 R5 r5 L! L1 P/ k! ]7 C
) w3 E {( l J0 z& G4 V/ Qdo-plots
9 [) S: L4 A- {# d3 z. uend" s% d5 I! f8 h+ C3 G
3 r" a- A+ v1 f8 b
to initialize-settings, h7 ]$ A" y( u, X4 B: M
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set global-reputation-list []
% @6 ?" J& A( d* r
9 w" [$ B1 I) G# s: o0 ^set credibility-list n-values people [0.5]' Q: j B8 @0 W8 {" W/ k$ o- P
0 g( q0 i+ Z# I$ p# j( @set honest-service 07 k9 v4 G4 G4 K' {* ]: ?% d4 v& I6 @
0 b# q( T4 {7 ^1 B/ h, r
set unhonest-service 0
4 D+ D+ Y4 @9 O1 h" }
5 ^; a( F8 c0 w4 E3 |set oscillation 0& _& O+ u P: k2 V+ }
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set rand-dynamic 0. v: k8 ~) V5 ]! X
end8 W4 P# ^6 A+ c5 ^% C3 B1 y
* p7 h5 {" |3 V, @6 vto setup-turtles
" v5 f- a% b6 Z) j6 Cset shape "person"
8 n! l& P, r4 q5 a$ ^setxy random-xcor random-ycor
! i8 ~% p; f/ h) e: |/ a/ [set trade-record-one []7 B9 Z, _4 n% o, L5 P @3 W, t
& K1 B! g2 G% `2 D0 S1 q3 gset trade-record-all n-values people [(list (? + 1) 0 0)] $ K5 |8 [. G7 V8 V
4 R4 q% U# Z2 U3 i6 l3 `2 wset trade-record-current []
: X% T2 h9 V2 g }+ D: s7 O! Y; iset credibility-receive []* G+ s9 E5 R: Y0 g' H$ G0 I# J
set local-reputation 0.5
: f; w" e" L9 }# }1 }& Rset neighbor-total 0: {# b$ M. w9 t8 y% f, U
set trade-times-total 0
1 Z7 D& M' l9 tset trade-money-total 0
0 u X" H% x/ \, vset customer nobody
/ O; o) L- N7 |8 l- A; Uset credibility-all n-values people [creat-credibility]
2 p c$ F. S; e/ A# zset credibility n-values people [-1]0 G/ c! j: V$ _3 u) I2 s- g9 k
get-color, d# E0 Y. `+ Z, {3 g' Q* ~; v
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end4 g& W9 ]+ D0 l7 H8 {: w
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to-report creat-credibility
" H% ?) E; B) \3 O; Areport n-values people [0.5]
v% ?& ?4 h& S) N" Y3 rend- Y4 q! J, T5 k4 R$ Y
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to setup-plots
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set xmax 30
; A! L0 j& q g+ L4 B3 ~% d: B2 S* d& H* ?$ k& \
set ymax 1.0& u6 T$ y: A! W g8 U* y) ?7 M
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clear-all-plots/ H! U$ I$ o' X8 x
- h5 r* b' S2 K+ ?+ E6 m
setup-plot1/ [- _$ Z+ I0 R+ H5 v
. E( K, V$ \) qsetup-plot2' p4 a0 N; @3 e/ w7 W- g
$ D( @7 `' ^ W) X! C/ r0 X
setup-plot3
9 c+ r9 e' s7 Z6 e( J2 |% H; _end- T4 e3 ]) N5 O1 O% h9 y
! Z% A9 @- }* R* ~5 k ~* |4 Z;;run time procedures8 d6 Y7 n; J7 \( e4 f+ k$ S. k$ @! O$ r
& k @! b8 C- A6 T3 W, T) c) c; v ?
to go2 J4 _1 Q3 s7 m8 j
9 e: Z% c! ^" ?2 q% C; c- v4 ~" N9 Lask turtles [do-business]2 g: S ^- z1 @9 n0 o* l" F) g
end
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to do-business & P5 O1 E8 `# ~
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( P# V# k' X3 s% i. f- brt random 3606 W$ H2 [# K0 l2 S' O
6 G/ P' l0 H1 X) M0 x' jfd 1
% o" }4 h7 s2 I; T1 c4 k' o% b1 K/ S5 s) o
ifelse(other turtles-here != nobody)[; I* s& |9 Z+ h* O% `3 e: ~9 t& v
# {( P& F k# b2 |$ o
set customer one-of other turtles-here
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7 B0 U9 g, }! |. g }- E;; set [customer] of customer myself. ]! ]3 I/ v; j" z6 C5 }, ]
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set [trade-record-one] of self item (([who] of customer) - 1)
% z& l2 X2 K9 D/ E[trade-record-all]of self
, g3 C! {% X7 j( x;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self2 M2 p' j. t7 q1 \5 p. o
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set [trade-record-one] of customer item (([who] of self) - 1)5 F% W$ G6 c" x ?- R' A4 W7 P0 `+ M% S+ \
[trade-record-all]of customer3 d' ^0 @; s2 ~5 ]# O- M# u6 C7 |
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set [trade-record-one-len] of self length [trade-record-one] of self U @- ?# Q, o: N8 E3 o
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set trade-record-current( list (timer) (random money-upper-limit))4 L8 D% T) T0 r( h! ^
) A( T; ?- K* U. V& B! oask self [do-trust]
# N% J8 f( c6 E* c K t;;先求i对j的信任度
% k$ c0 z; G! P1 |/ u8 j, l0 Z
$ J& n0 P G1 q( sif ([trust-ok] of self)( J" T u: e8 A- K
;;根据i对j的信任度来决定是否与j进行交易[
$ w2 `" g4 p- J5 l+ Nask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself Q4 x' L9 G' X5 |( _$ e
& U7 [8 p! W, z9 B) s Y% x7 y[6 c% r+ _( w6 U$ ]
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do-trade
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update-credibility-ijl
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6 ~' b- f# _: h/ [4 D) q/ \update-credibility-list
$ I1 E4 M4 }3 }) i2 ?8 B* V. C5 ^' F {# G# W' i% k Z+ K
8 d% y3 z) m) a4 m" j# l0 Q' pupdate-global-reputation-list
2 |+ B% S0 l% D
% X6 d' _, k! s$ n( Q* D4 r8 {$ Xpoll-class7 A. s/ @( x. m( y" s+ _8 o# Z
: z7 B4 V H8 P3 y6 c+ Pget-color) V* ~7 k/ A6 i
! ^ o6 S* I" G0 D: N j4 D: X* a7 @! F]]
7 F# o8 s& ~ `; H; ]
7 }2 e5 _' b p* [ W: z1 |' ^;;如果所得的信任度满足条件,则进行交易
Z( n3 x4 ? N9 J" A, c9 j# W9 F# G% @3 ]& h# m
[# ?' A5 R$ ^7 n2 d; n
9 i8 E! M2 c) j8 w5 ~$ m* _7 N$ h
rt random 360% X! w% g i% R; _# `
% {6 ]5 j* C! e0 r( r% K5 \fd 15 [9 p% Y6 z* l2 m. U
% s' F0 p: v' u3 L e0 b# w( J]5 E9 u/ |: ?7 V
( L8 v! p0 A0 X# F
end1 A6 R! d6 f0 a
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to do-trust 6 N3 f0 R/ {! @' K5 J" K
set trust-ok False
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let max-trade-times 0! d4 d+ N4 C9 x9 A
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
1 _1 o8 Y, t _1 j5 y# d# |let max-trade-money 09 k3 m& Z0 ~) I1 d
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]5 C0 X( }3 c. {0 X3 u9 d
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
- a/ f, }1 ]: p0 z! }) Z+ ?# c& N/ @8 s) I9 w. z
. w! T3 D+ g9 D- f" y! f
get-global-proportion) d, o3 }- m9 F
let trust-value
9 y3 P) \" ^" Y: rlocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
/ S2 } W% Z* v. Eif(trust-value > trade-trust-value)- h6 ^4 C# O+ z* z- J% w+ b
[set trust-ok true]6 a! r5 O4 X8 Q
end
( n% _/ `- P6 L2 U5 P' p2 j$ F+ Y: ~/ s- Q, O" A1 F2 J3 h9 |" B
to get-global-proportion
( d8 m, a, T( H% [8 B1 N) |ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
6 p. U$ D4 o* u[set global-proportion 0]2 r( ~& [. |* i
[let i 0( P2 c, y, h# x
let sum-money 0; G; I7 n( }3 Q6 {/ ?9 W
while[ i < people]5 Q- W, X3 L) O9 [4 ^' @+ }7 V
[* e0 F+ z/ d' ?
if( length (item i- M" _6 h$ U, a
[trade-record-all] of customer) > 3 )
7 w! s# r: V5 a, r `: H' W4 a[8 W9 b1 \/ C* @9 L/ W# Q R
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
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]# X" a4 Q9 m) z/ P) C
let j 0
& H* ?+ ]6 m4 N" D4 Dlet note 0
* ^2 n: p, o3 t% [; j' U' ~+ E, Kwhile[ j < people]
/ n# p7 T7 Z- ~+ F6 ][
/ Q2 C/ ^: v6 l: d& `if( length (item i( Y! K% C& b% n6 W) l1 s/ V
[trade-record-all] of customer) > 3 )& A4 O6 d- p4 X: H& P# w( W# e
[
8 _& n5 \3 }4 W. A: J5 bifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)" ?$ ?6 ?5 z3 }% Q$ |9 ^1 @) J1 I. L
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)], m' v# M9 [! n- I
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
; X* e8 E4 h; N. }* f]
; ?- Q7 _, }7 _0 r4 S]
g5 F9 T5 ?9 F* _9 M: Z% q j/ uset global-proportion note3 _* X) Y6 v( }% m
]
! `3 k7 | w5 o# y1 Lend9 S, g' W* E2 J8 f7 T/ C( ^
+ q. \6 H3 W- @( Z: u1 c3 A% [" p$ G
to do-trade
+ Y9 q3 W& ^: j" p2 J;;这个过程实际上是给双方作出评价的过程+ C, G5 x( G! ~5 k$ S; g* S: v
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价$ U$ D- K* ^$ q+ Q- ~
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
7 W8 Z# U3 t7 x2 [5 ^set trade-record-current lput(timer) trade-record-current7 k$ A, T" W. J) g# d& W
;;评价时间+ O% |7 W* b/ R$ O% y) o
ask myself [2 k2 J/ j1 L r$ L* ~5 q4 x
update-local-reputation& @0 \7 A3 ?2 `3 q0 h4 a
set trade-record-current lput([local-reputation] of myself) trade-record-current8 [4 N1 K% @4 `4 N: q
]" T0 F( r9 Z! r! Q+ T9 ^3 ?* S
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself: U* v+ n% p5 ]4 m& `
;;将此次交易的记录加入到trade-record-one中
+ D; V7 q) Q$ k6 T+ S: A8 Uset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)8 q7 [' H5 N, ?5 u4 Q) U: Q
let note (item 2 trade-record-current )
, Q" v! \/ }+ `" d3 nset trade-record-current( P j0 e7 z' z- b R6 P
(replace-item 2 trade-record-current (item 3 trade-record-current))
4 K4 s$ i" j8 o7 j' w' Pset trade-record-current
' q$ X J u9 O- p(replace-item 3 trade-record-current note)
) } {0 d8 L% e6 j6 _
' Z. s) H a# ]) s* X7 l8 I4 I9 T) j
ask customer [
* L: x3 A$ J- F, S2 V+ |update-local-reputation
" z. G6 Q2 n3 K# m. l0 rset trade-record-current
6 S* R# k# g" Z5 E, `(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) + K3 D3 l# ^( X+ c* e. h l+ `
]2 k6 I* i: s" A$ f' f; L0 y
* r! y" Q$ C' J, ?. [, W: _
' {" J) J- U9 _* |4 ^) C; \set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer9 T. T9 G D8 g; z. I3 m3 B; q4 i
5 t; a* R5 k5 a. X1 Uset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))1 _, E/ J% y* T$ j+ q( U
;;将此次交易的记录加入到customer的trade-record-all中6 i* ]) B9 X4 I! j U
end+ w: K4 L/ ^$ C$ {
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to update-local-reputation
+ `8 D8 ^' [# u& {$ _set [trade-record-one-len] of myself length [trade-record-one] of myself* @8 ?. t& C6 S* q2 |' ~
, V x( _2 l8 x9 d
" i; v. c9 P3 I7 A" T;;if [trade-record-one-len] of myself > 3
6 J/ o+ L% n# qupdate-neighbor-total9 V7 ^ M4 Y3 k! V6 }# @# C
;;更新邻居节点的数目,在此进行
7 k7 n ~% C% [4 i! P# wlet i 3 U O: p4 t) F5 \/ [
let sum-time 0
7 l, C2 K" [: s' s8 |- @while[i < [trade-record-one-len] of myself]
0 x. {) Y5 M( v+ r, g[
2 i! B; B* ]( E; b5 ^1 _1 L5 zset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
4 h! r, Z- u' uset i/ @& [* W, Z# o g
( i + 1)
1 g: j+ k6 u5 [- I1 p3 v" w6 p! ?) A]1 D r3 O- S8 d& T6 ~/ Q
let j 3! ?( v$ P! ?2 I5 G/ z7 z/ R ~. O- |
let sum-money 0
$ l; @0 Q# `# `" z& Xwhile[j < [trade-record-one-len] of myself]
. e# b; o9 f6 i! S' K[
0 t: }/ ~: Z. w0 Uset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)" }2 f4 p0 r) K) _ c: l1 c
set j6 [0 Y- w8 S6 q4 t1 b! ]
( j + 1)* R. p) Y$ z$ _
]( z" m0 ~; O7 p" A
let k 35 Y) Y r7 n0 n8 W6 x
let power 0
. M9 e! G0 v- ?' D" Qlet local 0
0 w# I+ U6 f b+ A" u% cwhile [k <[trade-record-one-len] of myself]- t/ G' [, ~* a0 w+ [
[. W$ A0 `( y( X' B8 O3 K2 V
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) 6 n* k% U8 p( L
set k (k + 1)3 P4 g" j( j9 U+ H! j- H5 K
]
4 i$ }" D' h& K! oset [local-reputation] of myself (local)
+ u$ k& E7 I$ I" cend
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to update-neighbor-total, F# X8 C+ C/ c: Q
1 @, J/ \& ?* \/ T: o5 ?if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
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3 h+ w V5 v% Q; e" b3 Z$ \& o! x8 p0 h3 E% A0 d
end" ]8 G. Z% `3 p) F$ S
. Q3 I( Q1 @2 o2 B* ?to update-credibility-ijl 6 f; W, t6 g& n2 n6 p3 j
# T& m) q n& [3 H5 ?# I
;;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。
" q G9 R. y) ]. u# v/ p0 P! Blet l 09 S. y' p2 B D+ n1 n# C# W7 ?( g& {
while[ l < people ]
5 e1 `/ A0 Z2 O* T1 [+ a, c/ z0 f- F;;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
6 k+ `3 s! f, [/ O6 ?+ b% R[
1 ^# e! F- y5 Z5 S) O8 H) xlet trade-record-one-j-l-len length item l ([trade-record-all] of customer)' R% }3 k' q5 m% ]
if (trade-record-one-j-l-len > 3)
# `% y1 ^* e$ V2 \* r* @) P1 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% \. ]/ W+ `$ y4 A' \
let i 31 s4 r% _ _/ l% G3 M
let sum-time 0
+ \6 p% R. q6 T5 h, L3 F( E! E$ ewhile[i < trade-record-one-len]# E9 m" ~) E( a, O
[* U# X/ t' U6 J, c5 s, ?$ p
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
% v1 R! `8 {% C$ Y6 G4 ^set i
# }: N) d1 B8 ]) t- U( i + 1)6 W- F5 K6 O- ]7 C- l6 ?
]
( \, a& T% h6 O0 ~ mlet credibility-i-j-l 0% N) n1 o' `# r- s$ E- C
;;i评价(j对jl的评价)
6 ]; ~! b0 v. A, Q: `let j 34 a4 R; [/ ]: O7 c
let k 4
8 k/ | i+ l% q' U8 \while[j < trade-record-one-len]
* |9 S& K3 I) X7 L. J3 u' `+ G[
8 B( Y8 b8 x6 z7 f3 twhile [((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6 `1 y7 |. T# k5 o: x- F
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)
- j5 d, ^' n# q8 e' hset j) R$ y8 K# J0 B; r1 |0 H
( j + 1)" |2 K l. R/ }6 {4 ?* Q
]
3 Y# L. M8 e! T" _7 i2 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 ))- m( Y0 m6 n7 t5 {" q' f! L: i
3 q3 C1 p7 [$ k) Z( i
\& U* o, a8 Tlet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
* h- [+ h2 W: q;;及时更新i对l的评价质量的评价
5 q7 K: C" E9 a9 M. pset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]% S3 p; g$ t6 Z- `2 K
set l (l + 1)' X c, k# o% p1 ^. S0 k% I
]* W7 e: D2 J* n$ Y7 y3 ]
end
3 {! J9 r# }3 h2 \% g9 x& S: J) F( A, m$ o( u
to update-credibility-list
* S" ~4 C" d* S! C, _( C! Q; F2 Ylet i 0) O: r3 g! h- L+ k
while[i < people]# l4 V8 k5 e) G, c- o
[
* O g5 q0 I% U. x) Tlet j 0
2 W8 S% X' C( f- s- b* n7 flet note 05 b# z S' t- |2 D
let k 0; \6 {0 N7 J3 T4 s8 A
;;计作出过评价的邻居节点的数目* |" t0 R, z! A; o
while[j < people]0 J: x" v! Y* b ?
[5 s* a' x) N2 E; x6 K
if (item j( [credibility] of turtle (i + 1)) != -1)* Z/ Z- U" Y( C0 R$ V: m; N+ G9 I4 ]
;;判断是否给本turtle的评价质量做出过评价的节点; c9 q. l F+ z( I; ]3 a
[set note (note + item j ([credibility]of turtle (i + 1)))+ a$ H" G( T' i; @" G
;;*(exp (-(people - 2)))/(people - 2))]
F) w- X5 ]* i! Sset k (k + 1)
* {# R* c# H0 `( T], b0 y* Y5 ^3 W3 s( [# B% ]' m: j
set j (j + 1)
; X- f" N9 X: l]! q1 F n( ?: h9 N0 C
set note (note *(exp (- (1 / k)))/ k)) G0 @8 s* U9 U0 k
set credibility-list (replace-item i credibility-list note)% o% c7 S/ @9 m+ k, y, u% ^
set i (i + 1)) j6 {% }6 g2 c `( A( J6 f
]& ^/ w( z- B) L/ m
end
3 A: y3 W, o# v7 Y N L6 P% x
/ u: _# z0 b' t! Fto update-global-reputation-list/ G' H+ w4 C1 l# _4 \
let j 0
% i5 L0 G( W2 A+ \' a, }2 iwhile[j < people]4 M- {; n c' M5 H1 V# i
[
" a# o$ C; m F! C0 E: |let new 0
" B% @( ?" ?) w% ];;暂存新的一个全局声誉
5 T# b+ I- ~! }let i 0% p6 t" ^1 `/ ]& _: S' Q% N
let sum-money 04 Y4 o# x% [6 S/ y" ~% k6 e
let credibility-money 0+ D0 e: {' g' H0 Z. M( B$ ?
while [i < people]7 b6 B; i8 }' r' d1 Z P) M7 @
[
, ^# |) U3 ?% e- s: ?set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))) j: ~- ?" ]+ S5 `2 v) z
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
9 k: ~1 j3 F) W& Q( Fset i (i + 1)
+ r+ Y2 _9 @8 l1 O]& D, M$ }' D z- _, w
let k 0$ q! Z( Z: `- M
let new1 0/ W! f6 C) j% ^
while [k < people]% j' ]% _7 d- H3 T. l
[
- G6 m x! j2 u$ Q) u$ F2 tset 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)
/ b' u. m( O* p) q" i$ yset k (k + 1)! H' r+ I: S0 z
]' J' j9 V; m3 [
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) ' z$ R3 E) q+ _* T3 t% f$ k
set global-reputation-list (replace-item j global-reputation-list new)8 |7 v' S: X+ I2 l
set j (j + 1). F/ B7 X% F: P }* t/ e
]
, j) [" C. @2 j; O3 Kend
! t! s* J: l U. |2 d; R
9 b! `' }6 ]* N _0 b/ r$ a
9 _8 w) e# I+ Y; t
& s2 E4 B* c$ y9 c( _to get-color! k) L! D1 B k @! j. E0 o
) ~# B4 C @' K
set color blue
' V3 {4 G# t2 E; J' d1 bend* \; z$ z3 V7 A
5 _5 y U1 y3 q3 P R( H6 ]to poll-class
. |0 Q0 H/ U/ |end
- n5 b# Y& l6 ?; i8 d' A. u3 z m& H$ F
to setup-plot1
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# J* o& C) p& W9 Bset-current-plot "Trends-of-Local-reputation"1 Y8 C: U- d, M
( ]9 @" O/ P e: n6 k; K# z1 jset-plot-x-range 0 xmax. T8 l3 w: E/ X0 H- j8 Z
2 _% P8 Z! R, b# J& K
set-plot-y-range 0.0 ymax
& Z0 X+ f4 Y, n+ J! w+ qend: x H3 e" A# s" K/ Q8 y4 X% d! r
% o: G- I* k0 v s$ ^; `* gto setup-plot2
4 K! D: L3 H' Y7 }6 q' I
' s$ R) s( c% e8 e) n4 Y- L2 ?set-current-plot "Trends-of-global-reputation"
0 L* h* |! h: p' l: K8 f3 J
! l5 ~! q( C9 e# c$ Wset-plot-x-range 0 xmax
* n' d8 X# d$ A5 _2 X. B2 Q' I3 O9 g
set-plot-y-range 0.0 ymax c9 b u0 E4 @" e$ X
end! K" g3 x: v5 h
5 T9 j5 q2 K5 F0 S) P: Tto setup-plot3& C: z& {, k9 V$ U$ V8 y
1 A2 K/ h Y5 V( P
set-current-plot "Trends-of-credibility"
& s1 q9 c1 L) p5 ?% d2 l% ? `+ G, k$ X
set-plot-x-range 0 xmax
@. C! w- G0 N$ B# X7 X4 {6 ^% M; ?% H
set-plot-y-range 0.0 ymax2 w. X' ]# `( A# A; j( n2 U
end$ m% \: g( _5 F: x- f2 K
. E4 b! J' [' Z0 f `5 C. O. b9 kto do-plots
1 x2 ^$ [% B$ h% Rset-current-plot "Trends-of-Local-reputation"
1 w- Z" R; m1 P( fset-current-plot-pen "Honest service"5 g4 y/ ]( w/ G* S# J
end
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[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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