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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
: A$ h0 ]' ?( H1 Tglobals[) w: w9 w8 C( X' M) I1 _
xmax3 X$ b" O" _. k1 c
ymax7 [1 W6 `3 K J2 o; {
global-reputation-list
3 z' d! X( m) ]4 l( E% H1 P8 `8 c R7 E2 P- Y' J9 C) b
;;每一个turtle的全局声誉都存在此LIST中4 e$ U0 E1 L2 u! x2 M) t
credibility-list! w/ Z6 k N# R9 z' E; O" S
;;每一个turtle的评价可信度
' h* J. T2 H) d7 w( z2 Fhonest-service. y' n: I8 U1 d# }4 E: X
unhonest-service
# g, Z# E0 t3 x* E toscillation
! b! Y8 w* w9 w& q) r. ]' [0 Mrand-dynamic
' _& t _0 z) Z# s]
! G! [! V2 o7 d, }8 q2 i2 u( C& n; S3 X7 x# B7 A& i) W
turtles-own[) r, F3 I, ^4 w2 K4 ]
trade-record-all
& Z9 \1 i. T l;;a list of lists,由trade-record-one组成
p' B/ q- \) @8 H: W/ T b& `& Otrade-record-one
- G \2 |. M# e/ O* 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3 } h9 ]( b7 H. g
6 ^7 ]8 j6 ^8 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]]2 u! Y# L2 z, u8 ?: `! N# r! ]6 z
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]- e" k+ a& Q' `- Q( F: Q
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list1 b5 P( q! P# A ^; f* l4 p
neighbor-total$ W; r* B; q# A4 t6 B. r
;;记录该turtle的邻居节点的数目
$ R3 u! c! Y4 e$ ytrade-time
: |+ z* [: m/ C& h. ];;当前发生交易的turtle的交易时间
8 t$ r0 K+ Z aappraise-give
# ]; [" Y2 L6 o k& R6 y% e. a;;当前发生交易时给出的评价" M# C3 s) n, w2 X! T, n U
appraise-receive: e; G) X& z8 s" _4 b w
;;当前发生交易时收到的评价
( q5 {3 V+ G; X( V" E) M; wappraise-time
0 ` z. `1 k, M5 \;;当前发生交易时的评价时间
B& F3 j# P# O% J; A1 Tlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
7 R" X' i6 J5 \. _" Ttrade-times-total
1 V1 i( Z% `$ T( L;;与当前turtle的交易总次数
- m6 t' c p) j2 Ntrade-money-total/ ?% s& _, p$ B( `
;;与当前turtle的交易总金额2 ^0 `$ k2 r; P4 i
local-reputation
6 A, F1 _) i5 W# Uglobal-reputation; k% C" {+ C% U: K; f8 u; e! c
credibility
5 A" P% R. N" ~7 C;;评价可信度,每次交易后都需要更新, r1 c/ z# u' a0 T9 I- r
credibility-all8 T' p9 n( K" I" h9 y
;;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. S2 q* K3 R) ?; O
5 }/ _- _+ ^+ V1 s" f6 R
;;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 O$ }" A# {, ` ncredibility-one
, g' i) t" L, t2 o5 ~;;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4 R2 _! P3 L9 ], ^; Q9 g
global-proportion
8 o9 u1 b* K- E( y3 S- O/ ]; fcustomer
5 y3 b/ M3 D6 W, tcustomer-no
$ N& V o* {% Q1 F. e, F. A F0 wtrust-ok# d7 g2 [: E% u4 G) `1 s+ k
trade-record-one-len;;trade-record-one的长度
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0 F1 s; ?( H& Z; i. H
1 o: I# |9 @) X+ {/ K/ x;;setup procedure
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to setup& O$ e5 z; R \! m/ J0 d1 x) o) G
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0 Y# g D+ }( g9 N3 f8 q: g/ O
initialize-settings' {' E2 P8 k; Q: N! @) W4 U% X+ H
6 f5 O! W& d9 B% A" d4 p' R
crt people [setup-turtles]6 m$ R0 w: _. l/ v) a; I
* G8 o; v, T1 {4 y+ |
reset-timer
. [! S0 [, N6 M0 K# k1 V4 R: F( I8 s; O U" Q y$ C
poll-class- a; Y: w% _; A* I1 k ^6 ~! Y9 {, Y
; B; Y; M( f% _
setup-plots
3 {, Y) S/ z8 B: n$ `* F* B" @7 Q z- H, `3 ~4 m
do-plots
{' d- ~/ o9 X! qend
5 V( x0 D. [' \1 i! l
$ ~$ n! K' Q$ a7 c- n2 ]# Jto initialize-settings$ |5 z3 s/ Y, I; I1 e
7 ^, Z2 v/ X0 b# x# l5 ^set global-reputation-list []
2 t% g, ~. C; c( A5 I) @% } {" W1 a6 y n
set credibility-list n-values people [0.5]
# Z+ e1 h* M" s8 X& C) c3 B3 ` v6 D, F) X. o. x. Y4 r' d
set honest-service 06 `( P- Z- M3 I, M. l+ E
1 @/ B' R; }) m
set unhonest-service 01 m3 V! {) S) g: c5 F- A& e& r
7 n) a6 P" t! q: Z7 ?+ u8 V1 \5 b
set oscillation 07 }( E( g. T' ~1 ]6 H$ M- ~
# f' r5 c! g; @/ O/ }* d9 @0 hset rand-dynamic 0
0 ^8 o8 x3 L1 K. z2 p3 M8 \' nend" E0 U7 J6 V |
4 ~8 h: `+ ?/ I; E4 k/ [8 L$ d; |
to setup-turtles 0 w6 y% H/ V; |1 Y- v1 f% n) k
set shape "person": I2 I( G/ ~# Q
setxy random-xcor random-ycor
+ X0 E$ x& N* G# m; Qset trade-record-one [] ^/ y1 L2 G3 y) q1 v. M& G
+ ?3 N3 r0 X- j" q: z
set trade-record-all n-values people [(list (? + 1) 0 0)]
6 o2 |3 l" R; M" \! {7 Z7 v% G' |1 i h& Y. d& r) a
set trade-record-current [] `2 H3 O7 l% C: Z- x$ N: ]
set credibility-receive []
L1 {2 Y) k9 f9 C7 Tset local-reputation 0.5
# r0 Y: D- g: y1 hset neighbor-total 0
9 z: ^, n4 ?- z! Dset trade-times-total 0; u* c% m1 c) \0 ]8 S9 s
set trade-money-total 0
7 S$ A- s2 h) o; k5 ~1 l! hset customer nobody
0 ]' m" x! Q, L: B0 k. `" Jset credibility-all n-values people [creat-credibility]
' ^ m# N- h6 Z w8 }9 G# N* Tset credibility n-values people [-1]2 z9 v/ O- |. M* m% L0 v) [
get-color- l' I' Q( S3 e
5 C% A4 t2 x1 Xend
. b" n) M' l# U8 v, f
& D N' z6 R# T! j) T6 k0 Mto-report creat-credibility
: I1 D r+ X) ?5 u2 treport n-values people [0.5]
' m! B2 X: y) Z3 Y# M+ r' pend Y' L0 }; O: j& ~8 ~* i5 r
! t' u0 ~6 `, N, V$ ?to setup-plots; {( ~4 _$ j: `, p2 e2 M, @
3 D* [7 n$ P3 iset xmax 30
( k1 K9 X- }8 }) v# r) n
: k; E; ~& c" b2 E& [: g9 d. ~set ymax 1.0
5 p0 ?" p0 d& X0 g; }/ }0 q* s
( `' d/ h# ^$ f8 M# `clear-all-plots( r; \- I$ o2 j2 l& q$ t8 E- s
3 I4 X/ e. y/ ~: h k
setup-plot15 w$ Y- _9 _/ F5 y
1 l0 v$ P2 l9 s0 X# }" Hsetup-plot2
1 u- e, l, x/ F6 ^
0 Q) s; ?3 E& V4 [6 Ssetup-plot3, {) ]% D$ c% y% g8 E1 [5 K
end
& @3 z- X" I" W6 ~/ v$ n; k' o( j: \9 ?/ l
;;run time procedures' [- G& U6 @9 T
1 j$ V! d2 T U# ?8 Oto go4 d/ Y$ c% ~8 |7 [4 b Q; p8 u0 S5 N
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ask turtles [do-business]( y p8 C" M# d( o$ U
end
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to do-business ) E( w5 k, Q$ h) k: K
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4 o6 t4 X& h% X: wrt random 360. D8 A5 c( j. {$ F: \
$ U a7 p0 E9 J$ q v" dfd 1
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ifelse(other turtles-here != nobody)[/ u, e1 w E8 M
$ A% h; ^2 X& V7 D' }! q, g' Eset customer one-of other turtles-here9 L: _ |# }8 C8 S
3 a" b' R- z- g' m$ Z4 ];; set [customer] of customer myself8 W. _% f( S& u" A
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set [trade-record-one] of self item (([who] of customer) - 1)
; {% `. t, L9 y* q/ e4 g. ^[trade-record-all]of self
2 `3 U% y9 o3 }/ h. }( u;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
/ \: {- a5 s7 ^/ X
( @4 ~/ _2 w# i) f' E2 Aset [trade-record-one] of customer item (([who] of self) - 1)
: G# S' X6 I7 L0 V3 ^[trade-record-all]of customer
! w7 m" U. I* E3 A2 l* y
+ F* f" l1 E9 l( m* z; Sset [trade-record-one-len] of self length [trade-record-one] of self& K, ]! r! q7 e$ @* R$ a B, \3 X
$ N) W6 y* O6 L8 O) E, S, `* o, Lset trade-record-current( list (timer) (random money-upper-limit))( q$ H% w' n& ?; { B F
; \+ Y9 p6 ~5 S/ a( p: w, G1 p3 _
ask self [do-trust]% T& m e5 }! J1 R5 c3 P
;;先求i对j的信任度
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0 t* g6 u* i% V. Jif ([trust-ok] of self)
: I/ ~1 d% `9 x3 c;;根据i对j的信任度来决定是否与j进行交易[
. p0 [9 q% G: p5 Xask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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; W- J8 x% e5 M5 _, i( P) t8 P' ], `[0 l, s4 |/ x. ~& ]0 e
$ s2 J& v, [$ S; N* S3 J: @: ]3 xdo-trade" G9 c( V% g/ h$ W
c. }0 T% q3 _2 v5 s- x3 ^ H, W5 c" Wupdate-credibility-ijl
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8 U9 O2 A7 w9 V6 v2 supdate-credibility-list
m0 u* {% j) I& J" i& F- r" {6 J5 F* J9 a. u! v
; u1 b- N+ n4 @4 Vupdate-global-reputation-list
" ^. a9 N. ^ K: ~$ K% Q/ _' F3 Q3 R. }1 B! ^
poll-class
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" X- [2 B9 Z5 l7 ]4 t2 G% pget-color) {. t; h( ?1 a0 Y( F' J( C/ h
4 l2 T* v' U+ D/ U]]
5 [3 {" |+ I. w) D7 ]2 `) H* t* A: ^, L+ e" D1 o$ ~
;;如果所得的信任度满足条件,则进行交易
* @8 d& R/ p0 W }, K
% U# \+ D- I' o0 [[
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- S* @) Y/ J8 Y, U9 E$ l0 crt random 360
+ K- A5 L* [* M1 W$ u# z1 }
3 E2 ]+ J1 O1 _. C: e$ q) c& @fd 15 I& P, D3 h. y$ a8 D7 {
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]
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Y' e5 W6 f- y Z* Q' L: oend; X! X9 O$ r8 J8 u! E
7 E; Y" v+ Z0 l0 H1 f4 r; t+ Eto do-trust
* y3 S" o& G( T) z! @3 M) x1 nset trust-ok False9 J- l' U/ n5 D) L1 {
x) z* p) D- c! [/ d
9 g" m. x8 Y4 i4 P& `/ j% glet max-trade-times 0
1 D0 _% y# a9 [+ d; M9 }foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
) B+ U W/ Y% m+ H! qlet max-trade-money 07 X9 s# g+ Y ^- }+ b8 } g$ v8 x
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
: `& K) l0 Z9 `# r6 E1 Klet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
% N) T) }- |, [6 K* l& A4 `# L! P: E
7 b" K- b2 v/ g0 w1 V$ t: W
- S" M: z5 Y$ Z8 G/ cget-global-proportion
; w. `5 b! D0 m# zlet trust-value& u% }' }- u! s: |' u. d" |
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): E' h' X* d6 W: ?
if(trust-value > trade-trust-value)
1 X- `' g7 y& P [ {2 O3 l6 r[set trust-ok true]) N/ Y+ }8 U9 t' \ k6 [! k
end
4 } m% n1 @( j: ^2 ^ _
6 a& C) j5 c" \to get-global-proportion4 n0 x3 B' G; q1 w% j+ T$ f
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
4 N* i" A! m6 O; N[set global-proportion 0]2 w: o: e3 T% @9 u/ r; d8 w
[let i 0' a2 j) V3 Q2 t; v
let sum-money 09 p$ H0 r C1 W, b+ q0 @2 y" ]
while[ i < people]$ \) E1 ]* F q! d
[ R0 S8 H) Y! i0 S% a" P- ^
if( length (item i
8 z* u! O v) `2 E[trade-record-all] of customer) > 3 )
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set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
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]+ v" u) I+ `7 }- s Y( ~
let j 0
1 @+ G' N k6 M$ v' Hlet note 0
& o0 K$ M* J7 Wwhile[ j < people]
0 E# X" J% ~7 s' m& W[
; \+ k: Q+ g( A7 Nif( length (item i
. \/ U0 l5 j2 I[trade-record-all] of customer) > 3 )
3 t% N* l' {: ]- v* l, R[9 ?7 r f% K+ h# @" {$ o9 c
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
6 a7 a s4 w. T4 g5 O[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
3 K2 D: {& t6 t# p% z[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]/ H; _4 z8 _+ g5 V* v) S( C8 o
]
* Y# J! F! q/ s- L$ O]
1 Z6 P `7 f# Y+ a7 ]0 y) ]set global-proportion note
+ ~* Q; ~% p: l, d4 l]
8 {: o2 _5 a. cend
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to do-trade7 \7 i( ^( |8 e; S# v
;;这个过程实际上是给双方作出评价的过程' U" G: B2 ^3 O
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价/ }8 h3 D+ y( w0 [+ Z, x
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
( R; e; y; Y% dset trade-record-current lput(timer) trade-record-current
l) J2 e8 f4 v;;评价时间
4 t& x) Q/ C Eask myself [
; j& Y& d [% ^$ Z1 Cupdate-local-reputation
( H- M9 X$ E5 T1 ?set trade-record-current lput([local-reputation] of myself) trade-record-current
l( x6 y Z0 h7 Z+ `, w]2 W/ A8 a# _: L
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
0 Z ~ K' ]) ?+ G+ v7 x;;将此次交易的记录加入到trade-record-one中+ `+ b9 M6 @, q% w; D' V1 R9 l
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
9 p1 K# f' J' G6 f4 tlet note (item 2 trade-record-current )
% W3 I: D/ m8 K# z4 zset trade-record-current" L; E n* {, \5 n. j1 G B! K
(replace-item 2 trade-record-current (item 3 trade-record-current))
, a) h7 X9 L% x% L, oset trade-record-current' J+ u: `$ N8 p: S% D; N! F! o4 Y
(replace-item 3 trade-record-current note)
! _1 U, q) w0 z) }3 Y/ d0 P, h1 d8 D- o7 U3 G5 m: y- s; b: d: d
9 P2 v( [1 E! e8 N5 }- yask customer [ q& Y" M" S3 e* P* {
update-local-reputation
9 w7 ]( i6 }& f1 q8 @set trade-record-current3 G' P+ {. ]+ Z+ m! k$ [
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) ( B4 b: y2 c' }: S
]4 f! n! d3 H9 }4 I
8 {4 s. d+ e: ?7 j5 R9 C8 q
4 E& Q6 I( U$ W- b; s4 O. `! K- fset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer/ w6 h8 f. a0 q" J$ }' W
7 J* {3 e: O" @set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
2 _/ V7 e1 K% g;;将此次交易的记录加入到customer的trade-record-all中( O& A! b) O1 B0 V, Z
end4 u- y7 [: W' i* m2 ^
0 u A$ t% Q$ ]+ p7 k; xto update-local-reputation6 `/ l# ^$ ~% ^8 q$ O
set [trade-record-one-len] of myself length [trade-record-one] of myself% f/ w0 S! F- f7 G8 L' G8 m6 J' ~
; |) T- t" l( }! \% v. B9 ]% ^
4 S7 k( Q. h9 @6 j& N
;;if [trade-record-one-len] of myself > 3 ; U; p s% Y: n4 `7 i2 \
update-neighbor-total9 V" Y: K& Z M
;;更新邻居节点的数目,在此进行" `6 P+ U4 ^ X- H# M' Y
let i 3
$ F! H* ]7 x5 i$ R* h' ^' Dlet sum-time 0
) z+ V& n5 z# c% E9 c2 r9 R6 twhile[i < [trade-record-one-len] of myself]# y5 [6 J: o) z+ f( w
[- z. y6 x9 K0 p$ d2 q, `, i
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )8 ^9 s, W' ^' N2 c% K! N* f* q
set i9 \8 F% Q0 P4 N( K/ |( N$ r
( i + 1)
! _. {% B9 \: D' q3 T6 p9 _]
, e- l9 x- A p" g% @let j 3 ]0 ^3 ~ B' U( d) p& v
let sum-money 0
3 m3 O& o) v5 Mwhile[j < [trade-record-one-len] of myself]- \4 X5 _* ^3 ?/ D: z: A- ^. o
[( O8 q8 W. _# _7 c# S. |5 y& |! 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)8 ^3 n# M% {. N; V
set j
+ ^: K+ M" e3 n# c9 |7 s4 k3 }8 ]# d( j + 1). o5 y, Q) F7 x; t6 `7 H: W
]
2 p0 Y/ T I# b* M8 dlet k 3% I/ r: ^/ V! g8 z' e
let power 0$ D6 V! Q! m! t# Q
let local 0
5 X5 k1 \; A( R, y+ @while [k <[trade-record-one-len] of myself]
3 N' Y1 T$ `$ C' v7 D[
" r7 S6 A8 l8 I# I! Lset 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 Q4 \7 j; d2 W$ u. {4 K% W: cset k (k + 1)" D5 x$ K- O5 U9 i: L$ X
]
8 e: a) S* k5 U7 {9 J! mset [local-reputation] of myself (local)
! n4 k4 j$ R# y! @! |1 y6 }end
+ z0 L7 ?3 e4 \7 A9 d' C$ l7 D: U; c& z* F! K
to update-neighbor-total" p1 c1 H1 y! ~- ~4 }
) d; f5 t4 R' T- K" Aif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]- f5 n3 P0 j2 ~& V6 @& V2 v* `
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' y4 {: _9 N7 }& x0 t2 Eend+ r/ L: e$ h. }( [2 Z- Y, H0 M5 s
$ I& X3 {# l$ ^4 |' B& r
to update-credibility-ijl
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;;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。
$ ^+ B6 n7 s* `1 a$ q6 X( tlet l 0
) \1 W8 m* {6 W1 m; u/ o& S) [while[ l < people ]) k( R _0 J4 k5 d
;;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 Y/ [2 d9 K1 K
[- {5 J& n5 h- c2 Z* }
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
3 X- O' D+ x. X S. \. rif (trade-record-one-j-l-len > 3): y& } T% |; _3 c, x
[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# P1 \" ^# M6 P) i9 }% ~# k5 `" Z1 P
let i 39 ]) L) w7 D( j# Q, }
let sum-time 0
, [$ z& G- Y* Z" r; d# uwhile[i < trade-record-one-len]) x9 v6 f. g2 L6 W9 w0 }
[
+ m7 V R P2 S; w) u: e6 xset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
6 ^9 G7 G- ]9 Yset i' D9 j j3 r( A% L# z
( i + 1)( C7 j/ ~5 A" d8 Q/ G* c5 S
]3 B: ]4 ]* ] ~- v
let credibility-i-j-l 03 S% U- g' O, I: X
;;i评价(j对jl的评价)
8 F! K5 Q1 J% D" A. ylet j 35 m/ C$ B. o4 l, V a- u2 u: O6 m
let k 4" i! C) d- ?6 ?/ M1 g
while[j < trade-record-one-len]3 T! v2 s+ L+ B2 f1 h$ {+ A
[3 D7 D3 Y( r, ~) O4 b5 x8 M
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! j( C7 Y8 f% a2 V$ m- C
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)
5 Z( F! n1 t5 vset j* m- [. p0 Y X7 s; {5 R/ b" u
( j + 1)! X% d- I5 Y- s7 m P' D
]
% S a0 W$ ]) Kset [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 ))" L. [4 t+ b7 a* N7 ^" \0 o
( A! @1 g' b- M: Q. F; V2 P+ _/ }( l5 {# o, U
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
; ]8 k# Z, K% H: s, G: r;;及时更新i对l的评价质量的评价
0 e8 O: K9 J; Z4 |. v) Mset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]& ^2 i# ^; W) Z: t0 S. d$ s7 \
set l (l + 1)1 ^! n/ N" s4 _; J n0 L
]5 @0 B4 m( y) W& _2 ?. i
end9 c! c! d4 G/ V# H
; `+ d/ }+ a8 N# [to update-credibility-list- v- K U. X" C- n' H
let i 0
q- P5 R4 _; C+ H1 gwhile[i < people]2 F4 |) ]7 \3 |$ g
[
: f1 _4 @7 [- ^! j1 mlet j 0$ W, `$ x5 S( d+ Z
let note 0
2 F" m5 H, c& ~# Xlet k 0( y e% I/ F! F2 h& L& O
;;计作出过评价的邻居节点的数目
% z2 s* Z$ {0 s8 L* vwhile[j < people]
* ^9 g# `* G& q( q M! W b7 B[; j A$ H' o8 z. `4 X* G
if (item j( [credibility] of turtle (i + 1)) != -1)3 f% ~2 t6 U& ]; H. k
;;判断是否给本turtle的评价质量做出过评价的节点- G, K3 B6 m3 |
[set note (note + item j ([credibility]of turtle (i + 1)))- g. n3 H7 {4 W& h9 i9 M: V
;;*(exp (-(people - 2)))/(people - 2))]! e+ n# A, T& X- R3 I4 r* h( {
set k (k + 1)3 ?2 t( u( |. H* J# \
]
5 Y v% Y" ]9 ^3 u6 c/ D% {set j (j + 1)3 {' H1 `- d. {5 M9 B1 T8 n
]1 ]( W( h# h/ t' m5 p" `$ ?) B
set note (note *(exp (- (1 / k)))/ k)1 `$ O0 S, Q8 K: D3 f
set credibility-list (replace-item i credibility-list note)
/ _" ^/ ]! B$ |/ r( D6 Oset i (i + 1)
/ R _8 i* r" `: C]/ s- x' W' X! U* ` j0 q
end! E8 A) b1 i2 Z1 w! t4 ~% |
/ c8 I. ?) p4 ~: `. ^9 K, ?1 Wto update-global-reputation-list
+ ?) M3 f6 |) g, A tlet j 0% X6 P% Q1 s$ J8 D
while[j < people]
6 z1 j p* ?- Z. O% |8 E[
) H. }3 L. H$ ^' l' l) p) r) Clet new 0
- f/ G# z5 q8 m: ]# i. };;暂存新的一个全局声誉
Y6 D+ E( U8 F( y) K% Slet i 0/ a; f4 v- l* c# k5 ]$ T; \* d% _
let sum-money 0
! j& y1 Q9 M; O4 g) q. Dlet credibility-money 0! \2 Y! V, p2 `* k) s
while [i < people]
' [- D- t: A/ [2 q+ H& {[0 _, D a# d: G( c& L% K
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))) F& ?, r1 s* O* P4 D! N% y
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))2 Z' y# l- ]" x" y& s, v2 C+ k0 d
set i (i + 1)1 L3 J T9 ^7 W K' [
]0 c- f0 j; h) Y% u) V/ H( q3 |
let k 0 Y. f. ~/ H2 x% v
let new1 0% G# t& s; A# B
while [k < people]
6 Q( x0 K2 o# A' J[% y% O6 k; J6 `% A& |
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)
1 S+ _8 l) U6 Q4 ]! jset k (k + 1)2 h& J1 q5 u+ Y; M! z; w
]1 v9 P4 q1 t2 o% Q8 I
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
9 N+ \+ u8 _# qset global-reputation-list (replace-item j global-reputation-list new)" m: S+ `& h: F* X4 f2 }; ^7 y% t) [
set j (j + 1)
5 e1 E, }( R7 p7 Z5 V/ J- k]( @/ S! i. a Z: R! G l
end/ G. K& a) X8 k& l1 w# _
5 U& u2 |, }" \' |: w- s) [4 ~4 F$ f. V6 K
# r& l# C7 T4 m0 C( f2 c' [to get-color) Q: y/ D4 @' D' B; e
9 v A4 i3 _: O3 k% \$ Mset color blue
- V0 x5 ~: F" V9 n# Yend/ p, x* }0 |& r3 e7 Q
( d' L$ \6 K" {. x7 Q
to poll-class% L- W! ~8 O6 p! ~) e* R- u$ G
end
! j6 D8 W, Q5 j8 n6 A. Z* v7 f% |2 k+ V* r' {8 t- @
to setup-plot1# N" s4 x' K+ C2 w. w( v! b
* F+ g, g c/ q1 E( i/ h8 K
set-current-plot "Trends-of-Local-reputation"9 v! ?" {$ Y$ d, ?/ D
1 k( E6 n% }! ]/ q
set-plot-x-range 0 xmax2 `! P6 {& P& l' e
b- h8 v, @1 k3 Iset-plot-y-range 0.0 ymax, R0 B3 P/ R$ g. N9 R% t5 ^: H4 W' x
end! e7 j5 @1 Z) L- L# Z
- y; L$ E! A1 j# l% C7 M" D
to setup-plot23 n& \& Z* A5 Q6 J
: m) w" Q) t; T T
set-current-plot "Trends-of-global-reputation"
' r* H/ T# G* A, i: t9 v" W [' {3 f v G
set-plot-x-range 0 xmax! |2 P& O2 _% R' d9 g
8 E# V* F7 G, u/ xset-plot-y-range 0.0 ymax- S. S1 x( D3 b p8 t4 g
end: m9 N( K% t' k0 ~
2 _6 Q9 p# V# z- b) kto setup-plot3
( V5 C* B6 S y# f
6 f; H# q& ?1 q& } J% i% Gset-current-plot "Trends-of-credibility"& n# D- }6 k; ~0 U
& y& E2 I3 h8 I+ i4 H, Nset-plot-x-range 0 xmax" Q( U5 Y0 b9 ] X" y. Z. g5 V' g
% \3 g# t" I6 l0 t \set-plot-y-range 0.0 ymax( c9 `' M. H9 F( M- l6 v9 L5 ^8 I
end0 G2 g0 Y" f+ q) E) C
- |# m6 M- O9 ~6 J! C1 Xto do-plots
& n: O1 M9 ^1 U! f- e5 [* L8 Cset-current-plot "Trends-of-Local-reputation"% Y) f5 S; F' y+ E/ `
set-current-plot-pen "Honest service"
% g* i( K. ~$ n5 C5 T# I- ^, jend
7 m2 W s6 ?* w9 ?) c& M
2 O6 f. @" F( F; ^7 ][ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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