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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# d* s# |4 k0 p* ~
globals[
! S+ W1 ~8 Y8 S: G4 ?8 Jxmax5 h N, g% J3 X0 O
ymax8 P1 z8 H# t3 q- h0 d+ U/ b
global-reputation-list6 {) g; M7 n( J& I- b9 f7 p/ R' X0 C
8 b) @+ m! i A( N$ b;;每一个turtle的全局声誉都存在此LIST中2 E) k. I- {/ C* J
credibility-list' c! |" P+ d) I( Q
;;每一个turtle的评价可信度: r0 t8 p; V' P# Z
honest-service
/ @- T9 }. k+ T! aunhonest-service! s1 S+ e. J: ~( S$ d. L# t# T
oscillation6 f9 S* N' {; b
rand-dynamic+ A0 }8 i! w% m, y
]
2 v2 k; w8 E9 O- x; C4 N; b
# w* `9 b/ V6 ^3 Q ?* v5 `" f. [ Pturtles-own[
( j% Q- z }7 x9 I: b4 J/ V/ Xtrade-record-all
! c( A0 F- w9 {4 J! c8 n& s;;a list of lists,由trade-record-one组成
" ]* k3 b$ P* o* C3 s, ^. utrade-record-one
! B! S/ ]- Z0 ~# h# a9 G* X7 H) 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
6 u5 D- `5 x J$ J* N9 k
+ T; c" Q2 D2 X k2 |5 W;;[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]]
& ?$ x6 Q7 _6 V$ R0 s. o! ~& ttrade-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]
8 B# B, @8 F+ w- Y f. @# u, T" U2 rcredibility-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list7 }3 I$ R; N4 d2 @/ @$ d
neighbor-total
- b* L4 I: h/ M2 E6 j5 z: y;;记录该turtle的邻居节点的数目
2 C( U( g* {" h3 l) Itrade-time- Z5 _" J; T* ~" {8 _. v* Z
;;当前发生交易的turtle的交易时间
4 ?- Z( {1 s$ }% Nappraise-give
" {" T6 w7 x6 Y& r& ?: L1 `8 S1 y;;当前发生交易时给出的评价; ]! e7 D* }/ ]: e" {
appraise-receive
B/ Z1 \' J9 _3 S& q;;当前发生交易时收到的评价
' E/ A0 n% w" u; r' Rappraise-time0 h- D2 W( E! k+ r3 v! x
;;当前发生交易时的评价时间
: D; i- w( L$ M* K! N3 l+ e1 {local-reputation-now;;此次交易后相对于对方turtle的局部声誉5 |6 u5 h1 g% O* q9 v# b+ u" U
trade-times-total' t0 G- Q& Q, L, t k+ L
;;与当前turtle的交易总次数5 i& j+ i1 Z/ E' l2 C
trade-money-total
6 A+ k# e' Y+ U! Y( {! Z;;与当前turtle的交易总金额
% s8 l6 b. z& v! u+ ~local-reputation, O5 R1 Y5 e" J" _, e, T
global-reputation O* u& c/ O/ ?
credibility
$ {/ G2 U# I/ y0 t/ `# R4 C;;评价可信度,每次交易后都需要更新
+ D0 n( R5 X% H# A2 ?3 w, R7 Pcredibility-all, C3 z2 K' A, z5 j* s: s
;;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
8 c5 ]1 s1 M z3 k8 r' P
) k+ d( H, _( d3 }2 a$ m( _, J;;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* O2 t" X( G, b; w3 R3 ]! G9 K: V
credibility-one
8 @1 G7 m [$ A! H# ], `;;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0 W- L9 D7 ]( V# d/ y8 I' x; g
global-proportion
0 p Z$ U" {6 kcustomer+ Z# @, x: D7 l& t+ r8 l. W7 ]
customer-no# U# K$ n- b! M5 a, }
trust-ok0 s/ s. {2 ], c- r1 \: w7 o) [. ?
trade-record-one-len;;trade-record-one的长度
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1 ^( O8 z6 _# Z- }; p! _/ e9 n;;setup procedure
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to setup( `2 [6 R T* w5 j2 J' U) \
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ca
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0 I6 z |) Y3 b. g2 [% Minitialize-settings6 Q6 f. P# C) V) z0 ]( E* R, b; G
+ I) ~7 r* @# r3 |) ?' ncrt people [setup-turtles]
7 s, z% b; g7 i2 Z, k) U' G' I; m: T
reset-timer
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poll-class) A7 Q; ~$ \' N5 x
! _5 N& z( c/ T7 T1 C0 \
setup-plots4 ?5 O) C) Q, ^: E+ ^9 @& t8 f7 L
/ f/ ^" i$ H# w: U, {7 V: |1 i
do-plots
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) b% T+ o/ l. n3 a& z8 _: E( k- Z) N1 J2 g) y7 K# d7 s: x* o
to initialize-settings8 ]. v- X2 H, t: h
" {! I# M! g6 F$ _/ W, i
set global-reputation-list []+ T* C) z6 P0 F! ^) U4 X" H+ K
' ^! _4 }, d' c( `2 O( i. Q, `4 Xset credibility-list n-values people [0.5]* g/ c" h) s1 s4 p5 j) g d
# w5 g9 F& g6 B# }6 l8 k0 x6 S0 nset honest-service 0
! q! a' o3 M# ]( y3 i- e
0 G# z: R2 ^" D1 o Vset unhonest-service 0* K$ |/ @) x1 n8 `" _! A
4 j4 K2 \3 W$ s9 T; g8 Zset oscillation 0
6 q4 Y, n- b6 J" ?5 t! L
/ o4 A9 r: ?" b9 r6 C; v# U% X8 Oset rand-dynamic 0
6 [8 N% o U k3 B8 w+ ]end. f9 k6 R0 C; g$ T8 h- T8 I
1 X, J, w) M, Z9 r
to setup-turtles
& z6 m7 \8 f! e1 c$ W1 Jset shape "person"5 ]! O' R4 r0 _. I6 I$ q* Q
setxy random-xcor random-ycor. s, u/ [1 U( u
set trade-record-one []
$ T' K/ x- d j1 ^% q
0 u* y7 Y8 S0 b7 w& [* Bset trade-record-all n-values people [(list (? + 1) 0 0)] # T: z# y4 D2 C3 ]9 B5 B
7 W( o( [$ L5 `# h
set trade-record-current []
8 P- }/ h! g! y) Q" v9 [set credibility-receive []
0 y5 |# M& Y5 H$ _% Lset local-reputation 0.54 Y1 L1 S, E. F) b# ^; _5 L
set neighbor-total 0
7 x9 W+ D ~% A9 T$ o7 Fset trade-times-total 0: T! T9 W. L3 \7 ?' Y& E
set trade-money-total 0
* g& ]5 Y+ Q& h7 _% b4 N# h7 nset customer nobody7 i' B3 C/ i5 `# c4 ]+ h! Y0 h
set credibility-all n-values people [creat-credibility]; @: [0 [. x6 A( b4 y0 V
set credibility n-values people [-1]
, ~3 W/ k( k, tget-color
- v% E5 R( i/ ?4 F8 `
: _+ z# P0 x) u$ @; M j: Send
: a2 J$ Z) d1 `
; C) J& u8 ~! }+ Cto-report creat-credibility0 L9 \9 D' L0 S* f( U; S
report n-values people [0.5]/ ^. C( v% b4 |5 f! B
end
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1 }0 r) d1 R& y4 Xto setup-plots
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4 |2 h4 P' } c& c8 d- o& Kset xmax 30
/ c# J( {# `# J6 M1 x3 x! g6 G+ i% |+ a7 R; s/ F) P7 I w9 @% u
set ymax 1.0
+ t5 C5 r( S3 }6 I# f& @" F; T
* Q# g0 K) q, U! ^9 H. H( Iclear-all-plots1 B4 r r9 f9 j- u% Y
+ S1 w/ M$ k3 C; z: @
setup-plot1+ k: I3 f W+ S+ S' |
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setup-plot2
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setup-plot3
5 q. k. A% P. S7 b# B8 Kend
. ^: q" v, L# ~ G
% a' Y: @$ y& p2 N: `;;run time procedures& O5 I$ K# z* Y$ X( \ Y
* H: C7 I# O) Z0 q! r" Z" S3 F- Ato go; e& X* Q* ~+ Q
* m/ d3 X5 Z& }8 L* Cask turtles [do-business]. r% l! f2 y' C4 R! B: e/ y9 |! S
end7 H# j* S: ]& w( n, }2 B0 N+ {2 z
7 t$ V+ k: o+ ]; M4 ^3 hto do-business
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6 _- @* X, K* A5 V
# y. b& i$ M& n% H# brt random 360
1 u' ?+ {- y. e+ F5 n( Z& d
' e0 e: E' C7 F* R2 Rfd 1
_9 h( p1 w4 b J9 |- g- P7 X- D7 C+ M; _% P
ifelse(other turtles-here != nobody)[
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set customer one-of other turtles-here5 }( `% P7 d1 e/ o5 `" W
1 [6 y( ` K! I# x# u. t;; set [customer] of customer myself6 o* v x5 @8 L' q! f/ T; a
/ w7 a- r7 G) U/ v" A+ Eset [trade-record-one] of self item (([who] of customer) - 1)7 {. u" r5 S; o q0 w
[trade-record-all]of self) j' S( L) T0 d# Z6 A8 |8 r$ k
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
% ^* G. n, R/ `+ [: j" ^" M7 r" y! z9 H6 {4 _$ Q/ p9 t9 B
set [trade-record-one] of customer item (([who] of self) - 1)! n7 n/ J7 A. q1 s# e( {: Z
[trade-record-all]of customer
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set [trade-record-one-len] of self length [trade-record-one] of self
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2 F+ h3 I' x( K6 R4 Mset trade-record-current( list (timer) (random money-upper-limit))
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ask self [do-trust]
( i" E5 t2 _4 B* l4 G% S& _2 z;;先求i对j的信任度 R' m: ^7 p* M8 c/ Y5 f) z
1 c: z6 K( c! q v k
if ([trust-ok] of self)
. H* _( F" H, l6 r;;根据i对j的信任度来决定是否与j进行交易[) t6 A$ x/ y& ]9 F: W9 A( _
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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[
2 |2 B7 T. @1 S' n# U( X# w# K% C* J0 q
( i( C6 v& J/ K$ I6 qdo-trade
& f) t+ J& p3 X/ X1 j8 d5 N/ P7 y$ D1 }/ b$ x
update-credibility-ijl
% e0 l* S9 X7 ]: Q9 Z3 z* T6 q; X) Q
update-credibility-list- I% d4 e# {. I/ ~/ U, l7 q, Z! y. ^* _
1 }2 M- F2 }2 [$ B
- |, J1 j3 \4 D' ^2 { S& ^update-global-reputation-list8 q( x- E7 ?2 h6 f* w+ t) M% S
% l1 y7 m: H8 w" u7 k6 S( y
poll-class' i5 o; h% ?) O! n" S J
0 H% X& \/ l# S* g+ N
get-color! B2 e3 {7 k+ q
* X+ A2 T0 X! ]$ ]]]
* v- y- N% b; t: c5 X% e6 Q! M6 O& v! T% {. ]& e+ v
;;如果所得的信任度满足条件,则进行交易. c8 e2 I% R8 o7 {8 R5 i( X/ f
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[) x( k: f y2 ~% w& @
. l( O" W. u/ e" ~( y0 J
rt random 3606 [ @; g+ I" j6 M
( D4 M" L e. m9 Y' D+ H
fd 17 W/ b! d j9 X# Z3 b
1 @: H+ X7 w( F- [3 G k# R
]6 V6 ?( T+ ^; u; y
. h" {" K j4 y( k' T
end
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to do-trust
! e s: T; }( ~& a oset trust-ok False
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5 s! n6 ^9 P* K6 rlet max-trade-times 0
4 c0 v/ g7 |! m" ]- Tforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]$ a# u+ z6 H S: m4 b' N- W
let max-trade-money 0
, }* D: O1 P Y& Q, q+ zforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]+ H9 m8 o2 {/ G2 F1 n
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
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, P6 R" ~" |' d" @7 b s+ t, ~& ^6 N' M0 |! T7 m3 V
get-global-proportion, d. Q1 c' k) X9 U6 {& {
let trust-value, S" |+ a! @3 L3 V8 n0 e7 u
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)
* N6 f; U1 g1 Q7 \. w* Bif(trust-value > trade-trust-value)
! Y3 C2 B& Y: y2 a0 Q5 R2 Y8 p[set trust-ok true]: T+ ]* z* C o: V) `/ P! C* q$ k# u
end6 Z$ v. W) ^! O7 Q3 ?. k& V
- |% X% h- Y; Y% @" J$ l' P/ r; Z) h% wto get-global-proportion1 u- B5 p( c {
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)$ }/ @5 [9 D7 w% J ~7 A
[set global-proportion 0]8 C, A* ]2 M1 a! o, p+ @, Y+ R f
[let i 0$ E& w. M* N' M5 g5 H; U8 u V; S
let sum-money 09 H' M! p8 N9 C
while[ i < people]
/ @/ z, L$ R4 T% _: l[- p: Y! D! L. J( V& ]
if( length (item i. i" s5 [2 r' R; {" D) o' t6 Z
[trade-record-all] of customer) > 3 )
0 J, S$ G5 s- I1 b[: P/ d7 Z0 R# C: P! Y, B7 M
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))$ G5 r L9 `( J. b. w& ]
]
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let j 0
- ?" k- Y. w3 E$ H, z) }. ylet note 00 m3 O: T4 H3 g3 S" p
while[ j < people]
* H% _. s# G. |2 Z[2 P& n& D0 k$ z' Z( i% H8 T7 k
if( length (item i: B4 B0 R4 a: r5 P' q% f3 a
[trade-record-all] of customer) > 3 )3 [: \# b7 X# b& T" p$ x n; V
[- n( M6 I+ I. l2 N
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)3 }9 |7 P# ^! i
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
& i' L" h5 k6 [4 `; J; {[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]' k$ Q, h2 G8 M6 v" @$ @
]
0 B: q/ _5 z% D8 _/ F& H]
+ C5 z* @: l' ^7 R! @0 t9 G8 b8 Bset global-proportion note; M& w4 `) w1 u/ \: V) j
]$ Y! i% m+ s1 A& D% F( t, q1 L
end9 U6 r' H" v' [- @. \
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to do-trade E7 H( t! E1 g. O3 K
;;这个过程实际上是给双方作出评价的过程' R5 a! \) r7 J" P5 s/ B
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价* x1 T2 L" T& k I5 t/ \* n
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价( m" P7 \. T5 ^" a* ~& x$ K, U
set trade-record-current lput(timer) trade-record-current
: J& Y% {8 A( u( V( Q6 D* c;;评价时间% M- S5 u& ~: D) n3 S' o
ask myself [2 i5 U, j4 }* k
update-local-reputation- l. Z; I1 m: c1 U- P
set trade-record-current lput([local-reputation] of myself) trade-record-current8 j0 T* a' y% R% D n2 C$ }2 y' J
]
; s) t3 G$ p* G9 A) Z$ tset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself( ~" ^( _3 ]4 r$ D4 t
;;将此次交易的记录加入到trade-record-one中
: o; W t7 G$ Bset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)# a$ |" V5 M# X' l0 n; _/ l! r }! y
let note (item 2 trade-record-current )- k+ g: k5 n9 H! a- k% @! C5 j
set trade-record-current
/ w2 e* N4 ]* |+ w& B, I' Y# ?(replace-item 2 trade-record-current (item 3 trade-record-current))
/ e# ]1 s- X% ~+ ?, Q$ Tset trade-record-current
5 A7 o9 e1 y' B! I(replace-item 3 trade-record-current note)
6 q" M( X; X |; ?
# I3 X- g" T- V+ |
0 D5 v, }& m2 V8 Iask customer [
# r# Y1 N( j& d- g) C& B/ T; hupdate-local-reputation
3 {) X i" a: l; @6 c& gset trade-record-current7 p0 w2 ^& ^+ R
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
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1 |2 ^9 E* @1 A Y) F- |8 {
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set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
4 N8 J/ N$ X4 ]( W
6 M* _5 d' h. H+ _! t5 Wset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))9 x7 r# l9 |" Y2 ?7 {- f: W. v8 j
;;将此次交易的记录加入到customer的trade-record-all中
@8 w" l9 v/ Z N9 Iend
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to update-local-reputation
, h3 S; Y2 R5 J/ @set [trade-record-one-len] of myself length [trade-record-one] of myself
* w9 M: ?- a# \3 i, E3 M4 d& V/ K- [: L' G4 q* |0 B; \
9 v% b0 i* Z9 V;;if [trade-record-one-len] of myself > 3
0 P2 @1 w2 U+ U0 C$ t; i8 a/ n6 _/ bupdate-neighbor-total
2 w9 L3 @- L. j9 H;;更新邻居节点的数目,在此进行- P0 J# V8 `$ N: k; L) c- J
let i 3( M1 ?0 [" P) t$ F! o
let sum-time 0
# n$ G* w3 s* L# n4 rwhile[i < [trade-record-one-len] of myself]
0 R! `: `0 j* v7 q, u[
% b7 ?4 c0 K; D, C1 R" G6 X5 iset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )9 }9 J1 j' |% U7 w. G
set i2 M* O8 @ _' l8 r) M. y
( i + 1)7 p, o4 W, w, z
]
2 V+ _0 D* @0 n# A/ t7 Blet j 3
6 c! g! r! i' P2 s0 Y1 E2 R( Zlet sum-money 0& { W5 B) s& D& B( m; c0 H* J: }
while[j < [trade-record-one-len] of myself]
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* p/ S5 w6 N' _. {) i- {1 ]' \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)
$ u$ I6 u0 f1 a, fset j8 |1 d0 L* r9 Z) \2 k9 k) e7 t: r$ O
( j + 1)
- ~! B' O+ }6 h" \+ k]: ^0 k6 x* @0 X6 g* c1 g5 }' }
let k 3
2 z) ?/ T: c0 J0 slet power 0) Y t& G5 t+ _, ~! |
let local 0- Y. z) o: A# g' R/ K1 }
while [k <[trade-record-one-len] of myself]
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; e* r. G3 s( \$ Z! u }! C3 X0 vset 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) 9 x: w" {) Z3 r c. w
set k (k + 1)" }( r4 l5 R' u2 f
]
3 |+ F9 v" c3 J7 Cset [local-reputation] of myself (local)- Y: \4 F$ P" v3 V) F
end
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+ y, P2 Y; a* Q% W1 Vto update-neighbor-total4 V7 |# Q! J, e0 W
4 s$ h( y: {& yif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
% m' x) d9 g S# D# P5 ?/ _+ b
M* ^3 \; h% m7 m. ]& }0 a! P/ ` L' {# J" J
end
! Y- O+ n, k5 q, \6 k8 r0 J% K! D% T* ?- P: J- a1 \! i/ P
to update-credibility-ijl 9 E1 Z% J3 l# g2 U0 x
0 x7 q& P# G. L2 ?7 R2 ^;;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。2 n) S& {0 X( v- ^# i' _
let l 0; z: b& ?) R- G" h
while[ l < people ]% `; F) o& M2 f0 H7 j+ B* ^5 W
;;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
3 G- o5 n+ X6 V. ]+ k M8 G[
" u/ \3 Z# W/ Flet trade-record-one-j-l-len length item l ([trade-record-all] of customer). u! h: D/ i) b# [$ S7 z4 r% a$ f# p
if (trade-record-one-j-l-len > 3)% b! F8 z* N. {. M7 |6 j. E
[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
" R( |/ p* [0 Klet i 34 s$ Z! m/ p' l0 p: a
let sum-time 0
3 p& C- F8 D# y% G( G0 Jwhile[i < trade-record-one-len]2 `$ _- M9 H$ `2 n) [6 X9 F1 O) X* B
[1 x' @: l( V, |
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )# r% t$ i/ k# H8 h! E! d
set i
; d9 D6 { ?" F1 I! [2 }9 }( i + 1)8 Q& g( ?5 P |3 f0 X/ v4 E5 r
]
1 \' {7 w# T. tlet credibility-i-j-l 0+ t( J5 K" v( L2 |
;;i评价(j对jl的评价)
1 c! V$ Y" t% B9 v. A ilet j 32 a: `5 }+ \8 ^& C' r- @3 s
let k 4
$ {1 R. K3 {: k; Uwhile[j < trade-record-one-len]3 n, m% R' S' I
[
/ p1 k9 Y. w" t8 P0 Fwhile [((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) |& S: L, f% D6 i. w
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)
7 `' q ]) [" s) z" p2 ?. Mset j3 B) t. N% ^8 J f
( j + 1)( `; o) Y4 J* g0 X3 S
]7 n/ V% v/ r' w6 i% s K
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 ))
- u5 u2 N' C$ T) S, s( W4 e8 f9 r
- r: Z7 ~& q0 @. R6 W8 ~# O9 `- a; {* B* M/ v/ T9 M
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2)): F$ U7 D f" W( U
;;及时更新i对l的评价质量的评价
- k/ D1 a+ j& J4 }: x" Tset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
. K Z! `1 l3 H7 Z; y+ Gset l (l + 1)2 T9 @0 ]8 _0 i0 t( v
]
, }, z% q6 @& E4 b: H' |6 @end
$ w5 ?8 H8 y) f% I' A4 U; d
) @4 R& k, c& \# k1 S vto update-credibility-list7 p7 u* E# N8 w! b: q7 X" O
let i 0& Z+ F8 h6 L7 p
while[i < people]% E! o ?/ O6 D6 U. i2 E- v
[
0 u; {2 n0 m* _: \! x! ]0 Tlet j 0
% A' b; m6 g) R( m2 k8 {" Jlet note 0* T' W- r9 q5 `' \/ [8 i
let k 0, K1 S2 U" b. _% U% _) ?
;;计作出过评价的邻居节点的数目: L& M/ I! M. F' w
while[j < people]7 Y7 B3 J$ { |- w# }2 {, O
[' x& f+ }2 ~' s+ B# u1 h7 R* A$ u
if (item j( [credibility] of turtle (i + 1)) != -1)3 Y: q% a$ U; z1 {
;;判断是否给本turtle的评价质量做出过评价的节点
8 r2 U1 P: J( @! B8 |9 S- A[set note (note + item j ([credibility]of turtle (i + 1)))
3 X. s/ B. s, { I$ y9 N1 ^;;*(exp (-(people - 2)))/(people - 2))]) b6 |( `/ l6 O1 ^- a) r
set k (k + 1)
! B# O; F$ }3 s8 W+ `]
2 h4 m, C! h. q% Qset j (j + 1). p+ s) \, W; r3 Z3 D
]2 P: Z) M3 e( B
set note (note *(exp (- (1 / k)))/ k)% y7 h9 Q( O2 G9 r7 O" K
set credibility-list (replace-item i credibility-list note)6 ?/ _4 z5 r( a
set i (i + 1)8 Y6 X& t% Z; S/ S' F
]
1 h& @( h/ I5 y) e3 pend
, s6 a" P5 V& U; a- x) Z4 r4 I2 ?; z9 m
to update-global-reputation-list0 n9 B* E8 b) w8 K& X3 ?
let j 0
2 ^! x1 f. r5 p- qwhile[j < people]
7 L8 m) E9 L4 `. F[, s0 w' h3 U9 w7 D8 q
let new 0, u- I! F3 P( l! T; [" Q
;;暂存新的一个全局声誉
- S W+ f$ [; [+ M7 Elet i 0
' g6 _7 w* }* H; W1 w) e7 Hlet sum-money 0
2 U3 Y4 C9 }$ o5 E' J/ B# Vlet credibility-money 0
3 k, z5 K! O/ c: a; j& ewhile [i < people]
( i7 |4 G% B2 q" T* j0 y# P0 C2 D[7 Z6 J5 K" Q3 }* [
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
" A" g3 M+ H1 B( B5 i" q. Oset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))8 q3 }1 A( c7 z! k
set i (i + 1)
1 f$ ]2 }- \3 _: z: m( E- u- H]! @4 j) T5 w8 i; r4 g4 V E2 x, X
let k 0. p9 S9 `; C5 d& l
let new1 0
' `" H, `$ f& m# f6 i, wwhile [k < people]
8 O* C1 [4 y4 D" d( k: R. n[: ?* U) I0 v) A1 k8 t! h* g/ n
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) r2 A) ]' }: _( _2 ^5 C1 a9 V0 e1 H
set k (k + 1): X' L3 O) x. X7 f
]
, W" \: C# Q K/ n; rset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) 3 e' n3 |0 C6 x t |/ E! B# L+ A
set global-reputation-list (replace-item j global-reputation-list new)* O5 j' Z+ {" F6 S
set j (j + 1)
5 s& y- x# U5 q5 k' V3 m/ I) L. K]5 {* z3 H, Q+ `+ ]7 t
end6 W; ]5 C" |& Q4 h6 Y
$ u$ S! T! i- Y, y, \! W
. k# h7 M3 E3 {$ z
, s& Q/ c" q" Fto get-color
1 t. V1 f! F: V* a( R- C8 ?
( y& A; l W0 N1 T( \0 C* yset color blue
1 A4 T {% b3 [5 Jend
- h* `0 i, e4 C- y
6 y" Z$ c; q7 Q4 u8 o- \9 h* rto poll-class( S& `( D" V/ \
end
d: G" ?& Z" Q( W0 n
* a! N+ f: U' M2 }to setup-plot1
m/ [+ m& i9 M1 ^7 @8 A
$ m n! d' e4 u {set-current-plot "Trends-of-Local-reputation"
3 o6 E$ q5 }& x) H) k; |) G( o& S- x% ~" F
set-plot-x-range 0 xmax
9 r# \+ J$ ]/ H6 j. G/ Z. o" z
6 P: m M( j1 ]% {( `/ p# Fset-plot-y-range 0.0 ymax1 o( u7 w" ]. O( h- e
end
: S2 K9 R( E0 p; k( M2 S6 H
: S" ]) J7 D1 Q* }1 F* kto setup-plot2
* B0 N7 O) c8 k( r8 V
# Q" s8 F: l1 Q# H9 G7 I: [7 i5 L6 Cset-current-plot "Trends-of-global-reputation": G6 w l/ m5 B1 m
" }; @1 l/ m+ F; f* L
set-plot-x-range 0 xmax
, v+ A' B+ H& m# p, ^, e$ ^$ f, W( G7 j& u
set-plot-y-range 0.0 ymax
- G6 Q8 J2 e# y5 D3 b9 B9 |5 _. wend
2 g, v8 W; F) D9 B: F
7 q0 c% X9 }( o1 P9 {to setup-plot33 y" ~) L4 B; o
# ^! u2 b! k# P4 @) Wset-current-plot "Trends-of-credibility"1 `& r0 R; w! p1 ^! l
, v" ~. }2 H4 U" K. Sset-plot-x-range 0 xmax" s# p+ N) O/ O" p+ x, a
) a1 L5 W8 {. M0 U; e
set-plot-y-range 0.0 ymax
1 i8 s7 I6 D. f$ q# g3 a) aend; u9 } {$ J$ S* F; ^* t
* \+ t% R+ l e( r
to do-plots2 r/ m+ X- [ E( ]. ?/ I& e
set-current-plot "Trends-of-Local-reputation"
5 I2 O5 @: G# s* n& |3 j/ s* m- bset-current-plot-pen "Honest service": y: A% g# i& F- U3 B
end
5 Z/ |0 M0 e1 ]0 i8 u6 w: Q
5 Y! O$ `7 V4 ?) u; V9 \[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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