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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( N p, D4 Z. Q3 K7 x9 t/ v% N
globals[
- N1 c r, G8 t1 c' a" p8 F- n& Xxmax, s. h; k# A- X/ N% [
ymax
( b, [# m. {& X4 Nglobal-reputation-list
8 i1 a7 b6 J+ z7 X* L; H( U+ i8 ~8 H+ a
;;每一个turtle的全局声誉都存在此LIST中% l9 ?* j9 c, }8 w; G
credibility-list
9 t8 E+ e. d5 T) ^6 f) s2 c" y T;;每一个turtle的评价可信度
4 s/ e" d9 Q. s, j, P- shonest-service
9 j2 h" \1 v: j* nunhonest-service* @( { c) \8 Y9 O* T
oscillation/ J. H( @4 M! d8 l; r' z
rand-dynamic
' {/ h; I* z5 `5 A8 E" d. |" U]
) \0 O( p/ ]% [3 z3 O! D$ s) x' D/ c* ^$ J
turtles-own[
2 T6 [, ^0 f' N+ ytrade-record-all5 j1 L( ^4 e: A% b8 V
;;a list of lists,由trade-record-one组成$ ^; N$ o7 ^. \% U( V( [0 Q; l* |4 Q+ g
trade-record-one
4 @& b# e( Q) u;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
1 O) M! u2 M* F) p5 R6 o9 [& `
6 ~9 A0 F) x& G, n5 a: g- O;;[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]]
( g0 B- [+ {% M9 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]: X1 I6 L/ v/ I
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list0 g7 H" C! k4 b& u+ n! ]8 F7 {( V
neighbor-total
- q6 l. T) P" d+ I; ^- p- r;;记录该turtle的邻居节点的数目
+ \/ X& o" |3 ytrade-time( \. h. ~7 V+ r+ u0 y
;;当前发生交易的turtle的交易时间4 U- p5 y- t6 M9 H, [5 R
appraise-give
9 C2 Y ^4 K, j) r7 d;;当前发生交易时给出的评价 |7 t) W1 b" n5 `
appraise-receive! z& J$ Y+ }" j {# `4 a$ Y
;;当前发生交易时收到的评价
/ ]/ x6 I) [; A2 y3 j) o) Bappraise-time
5 I* \: w4 M0 A8 h. g;;当前发生交易时的评价时间
8 C* p1 O O! l. ? U" Y$ ]9 ]# Jlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉/ g3 c, Z0 H' b: _; n
trade-times-total# {1 O+ \ J6 {2 f# y( b; n1 Y/ H
;;与当前turtle的交易总次数
* k2 v& s: |( Otrade-money-total4 D3 E+ Y* P' _7 \
;;与当前turtle的交易总金额
: r% N0 c4 } k: M. u0 Q( A6 Ilocal-reputation
, H' J. K: j" I" S0 kglobal-reputation1 J X4 D P: X& E
credibility
* x5 ?. U1 h& f! r;;评价可信度,每次交易后都需要更新5 _, J! i7 t5 g
credibility-all
, J4 Z1 n4 g8 K9 V$ _. _; |, C0 ];;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
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;;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# g$ R" X# U; H9 u3 Y: j
credibility-one" d7 u5 q! ~7 X4 ~' ?
;;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( I4 a2 c5 U+ u/ y8 X/ T( u L6 o0 x
global-proportion
) z, {7 n. t: U, J2 Z) G, N4 N; Ycustomer
^0 D" ]% d5 h% J5 |customer-no" J7 H n3 x' c# x% [" \
trust-ok
" H7 }. s" ]" _% ^ \trade-record-one-len;;trade-record-one的长度 t) A( M4 L) l* J
]
. D# U& Q3 {! q+ f4 t
" H/ o9 f2 @. y9 V. r0 q;;setup procedure: z' }& J) V3 i! o$ w
. \* i1 B1 G3 A ]: N/ t
to setup
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ca
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initialize-settings; ]) F9 u }; Z, U3 @5 i" ^: H
! D5 |1 U z5 L- I0 o" Hcrt people [setup-turtles]
& P+ {" a: h; m- ]- j
4 P& \, ~7 `1 N' g) C3 Sreset-timer
( V9 {* a9 L' s; p/ _2 t
4 H! A+ n8 y1 ]: l5 ?* {poll-class
! ?0 j4 l) G: G! \+ e0 J2 U
) B# I% l, F* N' _, Usetup-plots
3 U7 d: }/ i4 X- ]" g7 f2 H+ F0 j4 ~" E
do-plots
+ T4 o2 S( n6 u: `2 Eend
) K$ |0 y: w# N* m
) k1 g0 M0 E! B8 [to initialize-settings! |3 e9 o- y$ p& I+ S; b2 ?3 z4 } v) p
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set global-reputation-list []
/ x. J8 j- N. R3 e
( g& N& Z s6 \+ N& w( u. vset credibility-list n-values people [0.5]
. i1 N% g* I; m; }+ [
& q1 m; A4 K2 z0 n! z" v3 tset honest-service 0* ?) B2 A+ D1 a9 E
0 y# [2 T' ]7 n/ h* G
set unhonest-service 0, R# p# O5 L" w
/ C3 G1 t' D* m( C0 U- b& L
set oscillation 03 t0 m/ z" v! O! E" d. N
# a* v2 i$ m0 U' P- Sset rand-dynamic 08 o% E3 J6 S+ x+ H3 e; u$ I
end& u" C! H" d; n( d5 c
0 L8 T$ v$ B4 t# yto setup-turtles
( S4 O- C3 z: |- n4 p! M8 I6 w7 r8 Fset shape "person"
i4 u+ N0 I/ X0 o2 t# ]setxy random-xcor random-ycor4 }- E+ V- H0 S6 V; F3 i5 V
set trade-record-one []
" J! x6 o5 W* E/ @9 R2 A, ^2 m
# T* @6 C! T6 m" y- A7 ?0 w$ a: Zset trade-record-all n-values people [(list (? + 1) 0 0)] 0 ~7 A8 Y, |1 u) U% x; m5 f6 A
: A! g& K. M2 W2 J2 M/ _
set trade-record-current []
" M; Q2 c/ \5 p( \* v4 Rset credibility-receive []: N+ q8 F; P' L8 H
set local-reputation 0.5* }: h: K. l# e2 x K& v
set neighbor-total 0) ?, a( i. t ^( l/ ]
set trade-times-total 0: G, n# Z, _3 ]
set trade-money-total 0
: C4 v, q v, F5 gset customer nobody% ]) N! N. @( A
set credibility-all n-values people [creat-credibility]
6 a( L- a5 D% fset credibility n-values people [-1]
! w: w) H+ t& v3 |4 Z& ^get-color
( H! `- `7 a, D4 g) p# ^% D$ f
7 U2 n9 @% | x |end
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to-report creat-credibility
' i; {1 c# T; v* i8 ureport n-values people [0.5]/ ]8 P3 K, j1 o
end
* t& h$ w! R) w" F- T' G
# ^" T( R8 h) l1 o) }to setup-plots O% _& {3 k' x- O9 F6 c
3 }$ s; X' E; E: M- L( kset xmax 30! w% r. S7 @8 [' n; N
. Z5 f( T5 v& x2 A: G
set ymax 1.0
: {- c5 M" O9 A) \( t5 K7 J8 }) N
' n8 ?+ n9 d9 O2 V3 @clear-all-plots
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6 q# d7 N$ H6 r1 ]% m+ f1 Q, Vsetup-plot1: M7 [# S( E9 B4 N
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setup-plot2
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setup-plot3: o9 m! \: k" G
end
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2 F: Z+ z _4 Z;;run time procedures
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- y, W. u* E @1 M8 t) R4 oto go! c$ O1 b; B# f& Y
9 L, d3 i. r* gask turtles [do-business]9 J3 R6 ]7 Q; z
end) ~: t5 @3 |3 S( w- U
8 A/ a' y3 A+ u
to do-business ) N; Z, \- u& A6 z# B" _6 A
6 d5 G' k5 S4 y3 U
/ ]' L5 R$ t1 Rrt random 360/ x/ _- l& V& h" `. {" _' A
1 {4 }" K# K* h! y- N8 @7 ~: Y% gfd 1
4 Q4 j0 T$ S5 g5 r: |5 U1 G7 I# M P2 O: `( }' t. c
ifelse(other turtles-here != nobody)[
% h" t0 C$ F: B3 R" k8 h. L4 s3 o6 j9 q+ ]1 n
set customer one-of other turtles-here
$ [' f* b: Q& y1 Y* L
2 X; R# c- ~. Y1 K7 y( S5 K;; set [customer] of customer myself
" j6 Z6 z' {/ F; w5 f! i
) F( W! L. `" p" X% a# \6 w+ `set [trade-record-one] of self item (([who] of customer) - 1)1 w1 m5 J: X# }5 a0 Z
[trade-record-all]of self
& ^. |( a0 T' }: ]- T8 ?6 l;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
, ~; U7 P- | U" m; t, d
% J4 j; t0 A8 |1 m" Fset [trade-record-one] of customer item (([who] of self) - 1)
R. s! Q+ h, o! m% M: w[trade-record-all]of customer9 N& q& [5 l3 ~
, D: l$ ^& P5 o9 P2 ]set [trade-record-one-len] of self length [trade-record-one] of self
$ @7 y* b" y! U3 D2 V! E1 V8 D* M/ j! p g; n' b# b
set trade-record-current( list (timer) (random money-upper-limit))6 G; ?; x F5 l% x1 u" M# L2 F; V
1 I0 N, l2 u' p" ^" P3 t2 i: E( w$ aask self [do-trust]
/ Z( ^/ i5 ] p; A;;先求i对j的信任度, l1 Z [" f) D$ l- V
( U* _& D7 s" }0 Y: @/ q
if ([trust-ok] of self)) _' p: T3 J2 u+ l: R+ r6 s
;;根据i对j的信任度来决定是否与j进行交易[
7 C. i5 Z2 U9 f* aask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
4 K9 }# N9 w( Q1 h2 l
- i- P5 H- L/ Y6 x" {: I[1 Y3 J) L- `+ B B- c
9 L- f+ }, H+ B3 Hdo-trade
, J( w; [0 h6 d; Q; `) R/ ~9 ^% m- D# @! u2 Z7 P: p! V
update-credibility-ijl
3 ]( @7 s# e& e; z" c7 |
/ w6 ~8 b- V! E; b: w1 Zupdate-credibility-list1 Q* s8 c. ~0 _+ l
7 t% O- N) f' u& x! x& c
: E/ r; J2 I( q) uupdate-global-reputation-list
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K' z+ ]- n. kpoll-class4 P' r( P; ?: B
6 G/ o3 s3 l4 M3 G4 M
get-color
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]]! J- M9 c, F8 q4 }6 W
' B! X0 y$ t/ h+ ^4 b! ]- ];;如果所得的信任度满足条件,则进行交易! M+ t i. j6 Y" o+ o& `0 l' K
: t, a% q3 t' s4 s' |[8 X3 `$ o2 F. @" T
: w3 W" z( N5 Srt random 360
1 |+ `$ k$ W' a& q$ w+ Z5 a' b2 \7 n Q: `! D1 g4 [
fd 14 \) ~; ~7 T' H, F5 O
9 \7 t* l0 J4 n% O6 Y, m* r
]
4 V/ a% ], H4 l4 z8 \) g, _) ^* z% e* y: S; {0 v1 r
end8 [3 g1 z# `+ J2 u: f
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to do-trust
9 _9 I; K: Q; h/ W+ U$ k$ Dset trust-ok False2 Z, o% o% ]( b2 K# E; z
9 s* `! w! [* [, x: J/ G6 z! ^! f
1 S, z# R% L7 J) b* k+ d8 zlet max-trade-times 05 x5 ? C& K7 d+ S# l; O
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
% B0 o4 _0 R/ `, Alet max-trade-money 0
! R+ C6 m4 g0 u: H5 h; vforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]] n, e. ^ p# m, t1 e
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))7 e& @$ u2 ]' f
5 z3 J) g$ k- r# g6 J+ I K* y' S- T- r8 M2 W3 a
get-global-proportion
5 O& ?$ n( t/ I/ m2 e% s" rlet trust-value
/ i' H+ T& V5 j3 n# v. K8 |; mlocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
# c. o: X+ {* x/ C. m2 ?if(trust-value > trade-trust-value)9 _8 c1 n$ h2 k* {5 i7 h
[set trust-ok true]3 ]0 c3 }% Z. @' `* c7 x3 V
end
% K7 d. s# Y9 l v1 o. k! \& P$ ?! S& z' C0 ?
to get-global-proportion; V% z7 R, |: }" y0 F7 h1 u
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
$ B9 o Z0 l x# g8 C$ } d6 `8 x[set global-proportion 0]1 y8 m, u6 `' F* `, T
[let i 0
! L( Z' e" b v3 L% c. dlet sum-money 08 K4 y. e; u3 B& O# U7 _
while[ i < people]0 n1 Q. S$ K j. y6 C
[
" f: R3 V# A/ z/ I, Dif( length (item i
1 v/ w7 Y& ^- r2 |' T# f/ [ w[trade-record-all] of customer) > 3 ) C, f" Y; j7 k
[
5 Q0 u$ }8 o& F# i; @set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
5 D3 f Z( b. ^8 s' x]( A) g$ f8 ~$ _7 M
]% V) x( B7 Q: S
let j 09 U9 Z1 _( |! f3 F
let note 0
+ v+ x7 B9 S$ @6 o& fwhile[ j < people]" C, s" N3 l+ p7 H1 _: l" v
[
. E% w5 T& e1 Tif( length (item i
4 p/ }2 h2 V& `[trade-record-all] of customer) > 3 )7 |! i& J& k6 W) J1 F1 b
[
E( y0 R0 ?% e- Y- m `ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
8 s0 C: ^( A. E( F; S[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
j9 A) U- d5 ?. }[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
3 N# Y5 A3 `/ E! q( B) \]: _0 I8 k. X; m8 k' ~
]
5 p6 [* Z& |* X( D5 y/ hset global-proportion note
( D3 D7 |4 W" L' D3 ~! s1 H! h]2 V' z" Y- p4 S$ z( b! @8 C
end0 Y" m4 X; D9 ?4 X# E+ T
: U' e* v( e. dto do-trade9 r R, k$ \6 n
;;这个过程实际上是给双方作出评价的过程
8 E1 y Z# `3 r2 D7 C7 f8 yset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价2 R! U0 g* f+ S4 K9 t$ t6 u
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价) w1 h/ L# {9 H$ \( `4 p
set trade-record-current lput(timer) trade-record-current
! d' \4 Y4 X, C5 i, c;;评价时间- u- n4 G: O0 e+ v/ W0 l
ask myself [5 b$ k/ M ]7 }
update-local-reputation) g( M( V6 J7 l5 }0 ]6 `" J) ^
set trade-record-current lput([local-reputation] of myself) trade-record-current" h" J- f: C- n- C/ Y' Q
]1 G7 b% x3 Y+ K" E# }: A0 X
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
6 n5 `# A/ t! u1 P3 ^- o9 t;;将此次交易的记录加入到trade-record-one中: K) Z- h: @" [2 n+ T6 t1 i1 A
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself). y$ _- }% R/ D! D
let note (item 2 trade-record-current )
3 w# y8 S8 r/ J( {" \/ Jset trade-record-current$ e8 ]0 g5 s3 x& A5 G! S
(replace-item 2 trade-record-current (item 3 trade-record-current))" `' U1 r+ p7 \+ y( i V0 V ? I% f
set trade-record-current8 k+ k G: y9 {: a
(replace-item 3 trade-record-current note)/ h$ W. _2 l7 Q# z# ~8 a, P0 q$ r
4 A( S' b# }& }$ ]7 S* N. I
- a t+ S& P _ xask customer [
! t! i& I* @( L% n! yupdate-local-reputation5 _* Q( u# ?( R( J
set trade-record-current
( f. u: E; @$ o: V8 U6 p(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) . r* @; j3 ~4 u7 \
]3 j/ ]$ X! r$ M6 w
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% \1 |, G. L6 L! _* X9 e; y
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
$ P: {, h+ e6 _0 @, _! j4 ]7 G# Q: ~
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))/ U0 P! ]& E0 P6 q8 L' ~0 X
;;将此次交易的记录加入到customer的trade-record-all中
' ^: g0 R2 b, v1 o" Uend# F3 M+ c! K& [
1 z, @4 y/ ]6 o6 F
to update-local-reputation- V/ j, U7 ] r! O. Q) n
set [trade-record-one-len] of myself length [trade-record-one] of myself
7 c* p2 @9 W# @9 h$ N" h1 O5 P" J( H8 `% E- F g# P" \1 ]( n
: _# ~$ q' n* A;;if [trade-record-one-len] of myself > 3
) }" X- T# J( s" m k1 `; qupdate-neighbor-total* s1 A j' k | f( {1 b1 e; k! q
;;更新邻居节点的数目,在此进行% v3 l1 u! m; U5 ]2 ]
let i 3$ g1 i/ U- ~: b. P9 M# q1 `! c9 O
let sum-time 0: R7 T0 R) V& q
while[i < [trade-record-one-len] of myself]- |% Q( P8 k% N* T7 S
[
1 ~0 v- Y' `$ g5 Tset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )+ s. @- W+ d% P- K
set i
- Y7 ~2 |: `# F* p9 _/ S( i + 1)
' c% K+ E4 _6 @2 D]1 z! g( i+ ~, w% ?1 v
let j 3
% n' l# x! N* S, w- W4 Alet sum-money 0
! \. C* m1 r9 H5 V. I5 k) d3 nwhile[j < [trade-record-one-len] of myself]
* m# \1 ^3 S6 q, d+ R[1 }( l5 O a) n5 K- I c& {, o
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)
2 T& U8 J0 C) s5 {1 K" \8 oset j
" {& w) k i$ n0 @8 W+ @( j + 1)/ { i: E4 K3 i/ E2 o8 P
]0 N: \' Q- H( \ R; @; Z$ V
let k 3# E5 Z9 g8 L/ n+ s2 F3 X+ x5 E
let power 0& X4 ], B7 v7 z# v' C0 K, L2 r( _: b
let local 0
& W7 K1 o* [! J3 D' u0 s( Swhile [k <[trade-record-one-len] of myself]
# ]) g4 v6 y" _[9 |! o8 `) z& i5 D( _& j
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 F) s2 f2 T/ M- o2 B0 Kset k (k + 1)
# u2 Z" t4 P- w8 V" v3 u0 M# o+ h]
8 v( g4 W/ ]) F, q. Fset [local-reputation] of myself (local)
0 t8 ]0 n4 P; d _. q0 Y" fend9 h; H m8 V' ?9 O1 b$ C
; r" q5 G \& Y4 l/ O; ?, z& Vto update-neighbor-total
7 p8 Z$ L' X1 R& [# _. I* M( s+ k y" U! X
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]0 c6 S) ~4 C: r! H" i1 @! `
0 j5 x* r% ]2 x/ _: j( Q% b- S# U7 G
end7 s1 }+ K/ u5 G% d
( x! N7 Y+ o' v7 n' j3 _( Eto update-credibility-ijl
2 `& h7 K; [8 u4 Y3 V' S5 N% R, }
6 L9 q) O$ V Q! m) n. x; T;;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。
$ s# ?: H; e) k4 z/ Z* {$ H- m* Ilet l 00 F( N, |0 s4 u: m
while[ l < people ]
! Z. c8 r. s3 S: d8 x% S;;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* s/ Y# y. ?: P& u* D( @
[
0 M& o: J, T7 l/ W0 Olet trade-record-one-j-l-len length item l ([trade-record-all] of customer)4 h2 |9 a- J0 R) e- M% Q
if (trade-record-one-j-l-len > 3)1 e/ k' S0 y# F# p( B7 y( W
[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
0 }% a3 Q5 P1 X% A' Alet i 3
# ]' M) c- ^3 Clet sum-time 0
# y; c+ e: B2 Y- e0 R3 Fwhile[i < trade-record-one-len]: b) \9 @: s1 u6 _( d" Q" i7 }: |/ M
[7 o# N/ O1 s4 d. d6 J
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )8 R6 L" _9 s+ Z- Y3 k1 l
set i
/ ~- j8 z2 r E& y0 j/ o, z( i + 1)) O4 r$ B7 ?* j j% w3 W7 t1 r' l) Y
]
( Q) }1 W( r/ \/ A3 Y1 l- ^let credibility-i-j-l 0
% k7 ^* D5 t$ Y- a;;i评价(j对jl的评价)
# w, \9 h! O3 s. F8 g) Flet j 33 v- l$ d2 \5 k2 B K. X
let k 46 y* T' m$ E4 D& t
while[j < trade-record-one-len]: ^0 B i. |3 P1 U- U4 ]# y
[/ o+ f" `$ b3 }/ g, C
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! H9 w7 G4 V; m7 O# Z" Z8 k- ?
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)
# M# h* ]( i4 \ fset j9 h; O2 v, `; ]. |0 |' f
( j + 1)
+ K. ] C7 S5 _) U- ]+ R8 _; j]
# W8 J: ?) o4 G) a. r B% F7 ?2 A, yset [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 ))
: h d ~* ]5 G7 c. ~, y/ |. z6 `. g7 | b2 M$ D4 E e0 O' j/ `
9 r O8 _2 \6 @let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
: G5 k" q) c C;;及时更新i对l的评价质量的评价. W/ P$ c! v$ T' W' d: c' E
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
4 P& R) P0 [/ q/ g5 g- ~set l (l + 1)
, h, y0 x# T! r& w]
5 R, e; `% s8 Y( x; \end7 K7 \( a( g: t* Q% D
9 |# |- I! n& @; ?) B; q
to update-credibility-list
. H7 i: W* C2 P! D. {" p6 r+ clet i 0! p" M4 k( D, E" b) X
while[i < people]
e s9 g3 G3 T[: {9 ]' j& R; E% `. j; Q
let j 0
; P4 C, f& u& y/ s u% L% x wlet note 0
6 B( @$ F) {8 Y5 h0 Xlet k 0
" a& P. t( ~: k7 {. ];;计作出过评价的邻居节点的数目
' r" K' n3 a" Q& C4 awhile[j < people]
; h6 o3 o. l j[
; B( R9 V- _1 b4 `/ G! E. aif (item j( [credibility] of turtle (i + 1)) != -1)
: L8 @$ X7 z" {" J; f;;判断是否给本turtle的评价质量做出过评价的节点1 E! b5 b5 j: A) C" S
[set note (note + item j ([credibility]of turtle (i + 1)))
, _( ~4 O7 o) q {* ^;;*(exp (-(people - 2)))/(people - 2))]
+ W# Q. S- V: m% E% Z- N& M5 f+ tset k (k + 1)/ J/ V) A' v' d) Q6 {- O8 O
]; U0 V8 |+ |; T2 V. U( p
set j (j + 1)
& r+ g2 U9 l6 ]6 L! t]
5 h& C; Y. T2 O) R& Nset note (note *(exp (- (1 / k)))/ k)7 n/ E' j; P, T- z
set credibility-list (replace-item i credibility-list note)# R: N7 C/ v6 j% f; k5 D @+ w
set i (i + 1)
+ i- I" i# m+ V7 X]
, {1 |5 @ _# C% R* G. `" Dend
" V$ g. `! ~; ]! K7 K. [1 T: R) \& x* _. B3 S; i
to update-global-reputation-list
7 B" O$ E' _, g$ V {5 A0 Ylet j 0
2 u. V3 p k, p! Mwhile[j < people]6 r' X$ v* e7 {7 X+ ^$ g( e
[6 Z- y; b) p+ B2 s }2 A, G8 S
let new 0
% `1 N0 v) r# g9 E1 h, g6 o;;暂存新的一个全局声誉 a$ m& {: l& ]" ^
let i 0
5 D% j7 D! L9 Nlet sum-money 0
; M% N: i3 z/ p2 H. S+ q% ]# slet credibility-money 0, F" D- U4 j. E& [& g, d0 d
while [i < people]0 d2 d7 ?1 p# d/ i* O! j) z% `
[
+ E1 z/ J7 J3 y" L4 |+ oset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
1 K& E1 [) O- y! p) W: z# w. Qset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
/ f7 u$ D. a7 u2 ?1 L# Oset i (i + 1)
" r' e. H$ n) H3 V. i]) }% h% g, o3 \6 _, ?! s6 X
let k 0
r2 p8 v# S- Y! e; _: L: d& j, clet new1 0; P7 D$ O3 D. x9 T, k8 I
while [k < people]7 I) ?1 Y4 X& E2 o! Z( `; x
[4 k% F/ o q, n5 T$ s, L# v
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)
d1 x$ ^5 w) g4 J+ T M/ zset k (k + 1)% d) X* C% l" G- {7 l x# t; {
]
5 s i, r3 r7 e; B u& ^5 Eset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) ( a6 P- K# F$ m# q
set global-reputation-list (replace-item j global-reputation-list new)
3 E; v+ L/ R% a z+ bset j (j + 1)
, ?% Q6 L2 o: z" R! x]% I* ^7 D, U& `4 c- Q! v
end
# k7 x/ L X* d7 d9 n" g! I
) `0 Z j: Q8 z7 S& `. O' C. m6 L! L* p: K$ ^
- F2 v5 m+ G/ Y+ O& v& {: K4 G
to get-color" f' [- G7 \, J2 Y
% z: F" \! K, V+ V6 d* A
set color blue
. U: a3 ~: a1 `9 S% M4 gend5 S+ B- F: G9 C- T7 l* x
! J% k: E" l2 z: `6 o+ `
to poll-class
! s7 N5 l' b6 ]5 A$ ?% @7 cend
% w/ ]7 }0 a$ |; Y' o( E# F4 O/ s
1 v$ \0 S& O5 g5 }6 y! S# wto setup-plot1- t: Q2 R R4 _: T4 y
4 e0 i7 L/ w' wset-current-plot "Trends-of-Local-reputation"
8 i2 u! q5 b/ e' \# u. T' i8 Q0 \2 }, p" O- O, N9 ]
set-plot-x-range 0 xmax
1 }% c) i- N5 L, c. T) ~
5 v6 N1 y/ ^8 A/ ^* _set-plot-y-range 0.0 ymax5 k6 P1 v7 U9 M- }/ o5 T
end8 w$ M/ g! a* b$ g: ^ K+ M
( a0 S0 L9 q2 z# s' |; lto setup-plot2
" @: }0 q9 W3 y, y) `. ^8 U ^6 N
+ Z: s w# L7 C1 Cset-current-plot "Trends-of-global-reputation"1 a k7 G( B0 G& \: K
& J( y6 S3 R% j2 w0 `. @set-plot-x-range 0 xmax
" x" v4 h7 z9 o" W' s7 K. Y; i& t& Q) b4 {. ]8 ?: E5 O8 h O
set-plot-y-range 0.0 ymax
+ D2 N3 u6 I% h" B' b& s2 gend
" ]6 x. Z1 \) _$ q9 ]) o: t" q2 C2 X3 H7 f6 T
to setup-plot3
7 d& E) V" `2 b: V# k8 ?. a% K
- m' B' L" Z' j. U. hset-current-plot "Trends-of-credibility"* _0 M% ]! V3 J) Q, \# T! `
6 v& Z. T7 @, k+ i) [$ b
set-plot-x-range 0 xmax L( G$ s1 H+ |" a
$ u- s* ^5 u5 f& d7 sset-plot-y-range 0.0 ymax) u7 f& P: Z$ a0 a/ {3 o; q2 D/ W
end2 O: C8 ^5 I4 x+ N1 y
, V; F+ y; o3 Gto do-plots) m a' p! P9 R- F5 N4 X
set-current-plot "Trends-of-Local-reputation"
4 T& }0 _2 x& G- Mset-current-plot-pen "Honest service"
" ?6 ]1 M" l6 N9 P+ eend
& ]- h7 Y2 I: l, d. ?; M' k
. K$ S, B/ A( V- ?) ]! ?( C[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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