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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. q( `) Z! S2 J* ~) _- j0 n
globals[- e" r7 G' C& q. C+ h- h- \( v
xmax
3 l3 x0 t3 w/ K, S" ~, @ymax3 ?8 N; h$ g! y* r9 c6 u8 |% R# C
global-reputation-list" V) U9 z8 V. T ~
$ m) C3 w. W6 X9 p$ W; ~
;;每一个turtle的全局声誉都存在此LIST中- _' U6 u0 n7 j: i. d& [
credibility-list) @0 a) H! V" Q* p0 w
;;每一个turtle的评价可信度) e% _( g {6 B* e1 J. Y' _( L) K
honest-service
0 b1 U7 Z. S% l! n" p3 ^unhonest-service
& Y, Z' j/ f! Ooscillation
5 E& c4 K0 P$ J) |0 H! M) ^' `$ rrand-dynamic5 k* E: O; e- d2 w" f
]
+ w1 d; {: J2 v# l& w- V8 R3 W9 Z
turtles-own[
* X8 i& f/ p1 |, f5 p4 D7 Ntrade-record-all' z! ?; t3 ^% p6 ], w! {8 D
;;a list of lists,由trade-record-one组成5 B6 _4 O& m- s
trade-record-one, S5 ^) D0 Z, D- y9 a3 }: c
;;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 c T5 l' R; r7 s% C G! ~9 c- {+ z! V' ^: U8 S
;;[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]]. _+ ]" E9 [9 ~/ ]8 p
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]
# G( f- B! `6 l' s* j% `( Z$ o2 C8 C+ _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" R+ o h- i8 y2 n/ m
neighbor-total
+ d5 o, X& w3 l' Q$ y0 I Y;;记录该turtle的邻居节点的数目: Z0 H A* }+ l4 ^
trade-time
8 j' W) |3 [% V: Q0 A0 r; a;;当前发生交易的turtle的交易时间' R& D; K' A3 f
appraise-give+ t" x( ^$ y2 d5 W% _/ o, x
;;当前发生交易时给出的评价
: ~: q& a/ o& j2 I: O }6 ]appraise-receive4 n) H; y' {" d- I) R9 j( X/ T3 l
;;当前发生交易时收到的评价
0 l; U1 g- u# n4 l( Jappraise-time1 u% J7 F# n( x% _
;;当前发生交易时的评价时间7 J/ |: q7 a1 `) v1 y/ \( j6 `
local-reputation-now;;此次交易后相对于对方turtle的局部声誉, m( J2 i" K7 j" J- A
trade-times-total: ]* u0 p( A* @! ?3 x# L |
;;与当前turtle的交易总次数" _3 _" G7 K. R% L
trade-money-total. k1 z. ^& m! g% n1 F, q- [" p
;;与当前turtle的交易总金额
: b# J/ K! ~6 @9 ~' @ p3 y4 hlocal-reputation
3 c7 i1 x' R7 A4 ]; p) {7 \global-reputation
5 ?2 O3 m; _% xcredibility& u0 r3 ^& n+ K j* L" x
;;评价可信度,每次交易后都需要更新
' b" v2 t( ?8 ]9 o, |3 B Kcredibility-all
( ]2 j {; ~2 o, D" A2 T;;a list of lists,由credibility-one组成。[[1对j的评价质量的评价][2对j的评价质量的评价]……[i对j的评价质量的评价]……],其中一共有people项,根据1 K$ Y# L& d" W4 G
# v0 `2 d, h6 s! \1 c
;;turtle的编号对号入座,对于其自身的编号,在计算用到的时候再进行剔减,初始值均为0.5
" o/ c: H: F4 F8 p$ Wcredibility-one0 R* O. S4 S' s, m* \
;;a list [i对j给1的评价的质量评价,i对j给2的评价的质量评价……],其中一共有people项
, C% P: q; u# c: |* G5 F% ]global-proportion& \: X1 X% Y% v# w, n3 b
customer
8 `/ Q1 i6 w/ m; G9 W) n# wcustomer-no
" A$ b. {3 r7 ?trust-ok6 R) [2 E5 v# }4 A. h4 u! Y2 \
trade-record-one-len;;trade-record-one的长度
! F* y5 \' R2 j* l$ u$ M]5 Q; } Y4 G4 H/ A
6 t3 I" ~" S5 ~* c;;setup procedure
8 s8 [5 n2 @) [* Q. C/ ~1 ]; y) {/ F6 m. C9 ?$ u& b& m. P
to setup8 `2 ]' l' _3 P0 n0 N3 ~& t
& h+ E% y7 X1 U! H
ca* q+ p7 D; {. ^$ y d. p
( l) M1 T0 n3 r/ F8 H2 S X- Oinitialize-settings! Q) y& E) ~& J) z
4 O d; u" Y2 r' I* ccrt people [setup-turtles]
5 }8 K' E; d( s3 U* h
# O- H& b1 R7 S. n; d2 ereset-timer8 g% T4 X2 k5 Z c# Y
4 p- j- u% B" L$ Q0 t+ P
poll-class
1 F2 Z) \) i$ l# s8 P
2 K: E2 T& D% X( q5 I. Asetup-plots4 C1 S0 Y# S' k6 Z- r5 `1 k8 w
1 v" H/ w/ W) ] T- }do-plots
% A3 W+ r& a8 M& ^: l/ Mend9 G) Q4 ]( i# J/ d" R; L- x- f
4 a/ d* x1 f: L- a/ rto initialize-settings/ t P$ I" e) ^( g& N7 _
7 P! m' l! M. X1 U+ X% z# Nset global-reputation-list []
. U: b S. }1 J/ K4 D0 x4 J) g# a4 m# h7 V2 w$ k
set credibility-list n-values people [0.5]. `) @2 O" u- i3 ^; Q$ \+ h- Z
& \+ J \1 u4 h4 |. s* z( p l* X2 Vset honest-service 0; c% e3 |% T) F# R
; {7 a) N* \# G/ A0 Aset unhonest-service 05 C6 A( R; N( J% M
+ q& e; ^" E! S9 d
set oscillation 06 S; ?/ z" _2 }& C
n: F: s7 D+ `1 eset rand-dynamic 0
: ?& S5 J) o. m1 K' Q1 c1 {$ qend
$ J; A N2 i$ L6 I; W; w+ ^' _& w7 O
to setup-turtles ) H1 c0 K) E4 Y8 f* s' B
set shape "person". T0 V9 z+ h- f/ `* a3 A* h+ B
setxy random-xcor random-ycor
, j. W5 X3 w' r! C) _, P* sset trade-record-one []
* f& }1 K5 \, m
6 d" ^5 e. K- L/ P9 i8 ~set trade-record-all n-values people [(list (? + 1) 0 0)]
( U/ z( Q! E1 x+ A3 R9 F* y
8 A, U, v, N4 v$ Oset trade-record-current []1 H& g! s1 P7 x S
set credibility-receive []
/ P3 I7 V' Z. f8 sset local-reputation 0.5
2 y; O1 k/ p9 F9 b) @set neighbor-total 0, O: C7 j5 E9 H0 h+ N) O6 z8 C: `
set trade-times-total 08 u* `8 H/ H4 m/ c2 W
set trade-money-total 0+ \/ s6 \9 l. T+ i8 Q
set customer nobody
+ h% a X" X& M2 X- g$ ^& V% g9 iset credibility-all n-values people [creat-credibility]! [7 e4 X+ l% }# ~
set credibility n-values people [-1]
8 G9 g% G7 a" ^4 Gget-color
( U, R" l0 v% N8 k( l# p) I% f- `4 }: l
end4 L0 N. W2 O2 @! n8 R+ W% }; ]+ T
$ R$ c: r, n! O( Q% }6 Hto-report creat-credibility. L V; u* N* O2 K1 x3 F# M2 ?
report n-values people [0.5]
1 Z& L1 V6 O# ?8 E" Z1 wend+ n" J2 Q( P/ A4 a& d0 Q
8 |) W" T! ~$ Z I1 d1 X# k
to setup-plots$ v0 r3 E4 r' L# O: q! U( M3 t( J
5 v+ K; Y7 m' }" _1 Pset xmax 30# w% g0 q9 i9 A
2 `& r- w. u( W1 x, X# A5 Nset ymax 1.0
' F' O/ O, C4 v+ `( I+ q1 m' {0 F- z. G+ x8 A
clear-all-plots
' u. B* d) @0 R% c* d
) |$ L O5 @7 g2 ksetup-plot1
/ O$ m) G: A* K: x0 P* L# f
* i' B, @5 S5 ksetup-plot2+ E8 h! ^% i) l- L& ^( v2 `) @
0 O6 _7 U- l; J) V! [/ D4 Rsetup-plot3
) y G( i1 Y4 c0 J* o6 X5 Oend$ Z; k7 \9 Q1 F d* `9 K+ F
# y; c6 o; j- a0 ]! J" F
;;run time procedures
% z4 z/ H+ G$ u: X/ X' D. P' P* [% U O$ K
to go
. [4 C( y" Z ?6 Z& k8 ~. V f) M
! M8 \! ^3 l# M% Zask turtles [do-business]
\" n5 `5 D' r: Mend
. Z$ I- G$ C# i: C) d6 D9 A( s3 S+ k1 k
to do-business
; ~+ R1 B) m1 g u. D* S" Y; `, k! N
* n& z( U/ T" _( ~6 H" [
rt random 360
, }" U6 R; M3 f& ]# \$ ^" r1 _- O7 V2 u5 r5 K9 q( V) D G* t& _2 @
fd 1
7 |% F& v6 U0 s/ y" e0 n: l$ x# v8 |: _! K
ifelse(other turtles-here != nobody)[$ a! V3 t8 z- E4 Y& c
* G9 H' C5 q' I2 j0 B5 nset customer one-of other turtles-here* U7 B5 k! L$ S$ u" V' E1 n
& Z$ l7 s: V- |" N" h" J: b3 b;; set [customer] of customer myself* ?+ P1 R) a$ R& O" G4 A3 M
+ Y9 _4 j3 g K+ i( p
set [trade-record-one] of self item (([who] of customer) - 1)
- ]$ u$ s4 A( }[trade-record-all]of self
" P- h6 l) D& X% T; ?, w;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self: r, ~4 d2 }0 G2 ~
- B7 L2 u: f& _5 d4 @
set [trade-record-one] of customer item (([who] of self) - 1)
, F3 S7 E& ~4 {$ f- U[trade-record-all]of customer5 h% O' u5 q. ?; h) S+ }
1 t1 s9 w# O2 t3 `4 h! ~/ B( ~% Zset [trade-record-one-len] of self length [trade-record-one] of self: M6 v0 p D$ u; r
1 J- D% a5 ] D. B8 iset trade-record-current( list (timer) (random money-upper-limit))
N) k- z* U9 I K, ~( J: i1 i1 B. ~
ask self [do-trust]
; e% s0 O+ A: v; Y5 |* b, i;;先求i对j的信任度$ f" r2 x3 j+ O$ [; o; k
+ K: l' F* r t9 u: v2 w) U" N% J
if ([trust-ok] of self)' Y9 q7 g! ~$ S3 O! e! t% _
;;根据i对j的信任度来决定是否与j进行交易[& h5 b: @1 ~: t/ K, j) b) f
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
+ L* t- y0 a/ e) }) v! [# S2 d: ^' f
[
) }* _* L _ U" U$ A& c t
& Y! Y% b( }1 V9 I# f* Xdo-trade
) \4 p6 n, Z; j5 X, D/ C5 B1 S) d( A
update-credibility-ijl
7 F+ o& [& ~8 K3 B! C0 g7 q4 O
) O/ F) Z; P( s2 gupdate-credibility-list, \9 l7 |0 k. B7 O- u' N
, o3 g/ \8 w: R- S2 Z% V
3 \" i8 V9 I+ a7 }6 y$ I0 @
update-global-reputation-list/ d& k4 L: e5 D6 A. L6 ] s
# _) D% R9 a h1 r; upoll-class
3 A+ g! \( h0 @) u4 v! f) d1 u
0 T; E. H& I; c% H0 jget-color
, p8 u4 \. N% j" r1 U" {
) v4 f) d0 D3 A0 c5 o6 z5 u8 | h- ?% |]]
' }: D0 ?8 k7 s5 [$ C5 [
; I& q' s9 |- ~0 @4 J;;如果所得的信任度满足条件,则进行交易: \& T! D. D9 g' H g
z2 M6 P d( e0 ?- W
[9 q2 P) h6 _6 M; M
: @! p% t4 e! Q! h1 _# J/ jrt random 3606 s* |5 w. L8 C, g% e
' s# l" n3 e5 t; e q9 b' N; O
fd 1
5 w* N+ ?# ]5 p6 R8 }& f& s5 R6 Z4 f8 r0 p3 w1 Z
]
# _: q' d5 W' |4 d
6 T% Y& c0 f; i7 e+ S! Wend
! g/ N% I2 x# v
7 s Z/ u8 L0 n6 `( M$ vto do-trust
4 C: L6 t p4 S- q$ wset trust-ok False2 I# F, _% H* r' X/ r- y2 f' Z4 h! p
0 C* _0 K3 C/ Y+ u
& Z/ h5 p0 Q' o! ^3 K6 w" W
let max-trade-times 0* l/ v" g" B4 p: u* ?
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
! F4 d& @7 }0 |* C" alet max-trade-money 0
( T3 i) ~5 D/ T* tforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]7 [/ t* F: F. i0 K
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
5 b! g" ^0 j! ^+ a- V" [
0 d- ~; r8 b7 D D8 B/ J( q1 N/ @: z. T3 Q2 ]$ @
get-global-proportion" l; Q+ P% P0 m# s. @9 i
let trust-value% Z0 q9 K* n- p
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)
7 t" y9 Y7 @/ h. {if(trust-value > trade-trust-value)
& G% z; {- T( w" Z+ G) O[set trust-ok true]# s$ z8 X J* W9 o1 N/ w
end
1 J1 c8 Y2 O2 y- w( o4 m
% `, C! [" _/ Vto get-global-proportion' U1 [/ V) A9 R* c. ^( Y
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3) o p/ q/ {* L5 n2 V6 A8 v
[set global-proportion 0]
& Z( J' h4 o/ [. g2 l[let i 0) [6 G4 b9 V5 Q9 P! b1 G
let sum-money 0
" E6 L% h; L5 Z" t: Pwhile[ i < people]
" u. ^5 ^6 n4 A2 x, ^[# ~1 x2 J5 t$ l
if( length (item i4 D2 c2 e5 f8 G8 Y1 Y
[trade-record-all] of customer) > 3 )
, |- {1 L6 q2 |. {7 h[
E$ w+ Q- Q h$ S1 J, ^, l) Fset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
' A2 P9 E/ }2 [$ Y- ] n]
% i# z' j2 {& D9 a4 T5 C]
+ L: R: z P) P+ A+ |" }let j 0$ H) t: Z* E0 G* Q
let note 0
/ k, R H/ {4 ^9 ]! [while[ j < people]
! A2 c* U I( U' i' Y[# ?8 K" e4 E/ ^% x* c S( H
if( length (item i
0 U3 U! I, Q$ ~0 w0 c* b% S4 I[trade-record-all] of customer) > 3 )
$ o. N& u9 u* R% u" G) m9 I[
; v. D7 Q* P p" H6 tifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
, E. Q" w; Q3 b, `$ U[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]: C* S/ c; m1 z- J! n9 l
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
2 U, v) i T% b' T# v1 T R' e]2 v8 n5 s0 {& U- P& b( t
]
4 x% [ ]) v8 uset global-proportion note
% O% d) m' h, [7 Y: a" c7 |]
& J$ c8 K/ A Z, ]* T) H) \end' D7 G0 b4 A9 N7 s/ p
5 r% n- J: A" B- j( D* M5 f
to do-trade
% S! @0 g: T/ ?6 F- c;;这个过程实际上是给双方作出评价的过程
0 w6 C+ x* ]; F( Z1 Bset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
/ F3 o' W/ o0 e/ b& Bset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
6 B J) @; ^/ O6 Jset trade-record-current lput(timer) trade-record-current: d, m$ F0 j4 x: ]5 s
;;评价时间4 x G) l( l* L* r
ask myself [
4 V) p$ R( p: t" v$ F8 p: |update-local-reputation* ]8 W7 Q% a- h* U. g$ G. {+ f9 J
set trade-record-current lput([local-reputation] of myself) trade-record-current# @) S" O9 x. A1 p+ m; o) o
]" e8 o: _# T( n3 }* Q: a$ D1 y
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself* C8 A4 i' N* z; b( K4 t s
;;将此次交易的记录加入到trade-record-one中
4 g( d$ c$ c8 I0 }set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
- r2 j- D8 Z8 Ilet note (item 2 trade-record-current )
5 d1 q' h7 H6 f s, N: z1 \0 X& zset trade-record-current
0 y/ D, R# A3 Y- s9 c7 s(replace-item 2 trade-record-current (item 3 trade-record-current))7 G1 U2 L0 j$ H
set trade-record-current3 R4 }# I7 B5 t
(replace-item 3 trade-record-current note): n( y9 }) s# z! V# R2 R5 `
% R2 k3 Z1 J- l- Y
3 ]# v. k- T, h- E3 @$ Y% x# ]
ask customer [ ? M3 z7 k- f" k
update-local-reputation5 S! T- f! _$ Z# M( j
set trade-record-current
5 P5 ]# |! `$ i% n' S(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
$ T$ J# u% c C- |/ D& {# G]
' l0 v% g. J+ U/ b5 B, k0 E/ k1 p9 a+ H) h6 e; f1 S, h- B" c: l, ]' N# F
7 ~5 l! @$ C5 i7 |7 [$ wset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer$ r; _% b! n/ {, r% v' I1 O. g7 C
+ J8 S1 P3 |* R* H* N: H5 Aset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
$ N! K3 S! {* q s; T;;将此次交易的记录加入到customer的trade-record-all中6 U- a" o5 r4 ?4 a% S1 K! c/ @
end" M* n0 @/ Q; r6 ^) y
0 N w4 V9 r7 [5 c* ]. H; Ito update-local-reputation, R4 Y1 h1 F( m8 F& y4 m
set [trade-record-one-len] of myself length [trade-record-one] of myself% b. @3 x& x7 z$ T0 U" v& y
2 P {8 s8 }. ]8 ~1 f9 i, [( i2 t! g+ ?9 |2 J% J
;;if [trade-record-one-len] of myself > 3 5 Z1 w" W+ I+ O( A
update-neighbor-total6 B b; w" _# U" M/ S8 m
;;更新邻居节点的数目,在此进行 ?8 \ F4 U5 D# o; V) h' T5 H
let i 3
$ f( K1 |& C' P' @' W. l. @/ K$ ]let sum-time 0
3 p x' ~2 F* swhile[i < [trade-record-one-len] of myself]: e. `' M9 ~0 J) e4 s7 J0 U0 [4 o
[. q4 O3 _: G0 s6 Y6 ^8 K) F
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
- D+ g: s. S" z; G7 Kset i; u$ g5 E' t8 K. T4 n
( i + 1)
) O! b! [& b; ?! N( T8 @. O]
/ h6 P7 q5 Y5 o2 w2 K/ zlet j 34 k$ V% X3 g: k$ \4 ?- i9 K; C2 @
let sum-money 0! o, U; b$ x8 g, @+ `+ c
while[j < [trade-record-one-len] of myself]
- U6 @5 o @+ |+ j/ z0 J[- j" g% M0 A/ s1 o5 s4 G, Q% P
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)
- n8 A! C/ _: w lset j0 i8 M* ?7 |, [9 ^7 _
( j + 1)
* H4 {. v' `& O]
0 ~, W( P* v7 W6 a: Y# D0 v" nlet k 39 I0 n, R5 l+ E4 N8 d" z4 {- B
let power 0
5 O( M7 x0 b0 `/ @' D% I' x+ Elet local 0
0 n0 l9 v; ], q: t3 O6 zwhile [k <[trade-record-one-len] of myself]! o0 ]/ N, j' _6 O5 k
[ r5 a I2 R+ s0 b' [6 M1 \& c
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) 1 O8 t. c/ @ N7 r6 g! F, x: u; @& e
set k (k + 1)
6 B3 H* _+ c$ y. z]) q* P5 x) ~& y
set [local-reputation] of myself (local)# I1 }: A+ c2 {
end
0 p U! i* z* G% F" Y7 m
0 h) D# g5 ]& Q" o2 e1 n1 Zto update-neighbor-total
* |7 d) w7 T9 B( Z4 L
: [( n; }3 c9 Y( Q( T/ F- Fif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]6 \* Y! s6 E) y
! q3 g: L, L4 `' m6 K" [( v8 J! S
% V& E4 s: \! k! D/ Y# n7 Hend
6 Z6 E6 Q) g' u
2 k. n9 y% [+ l. fto update-credibility-ijl
3 u; V' |& |+ P0 V/ {
. g. r N- \9 D' ]/ @0 {3 r;;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。4 [9 w, Y1 ]. c! Y
let l 0
: q' u; |* m- L: Z0 H1 rwhile[ l < people ]
$ u' q, E+ }# h3 S6 P; E;;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
* R; |" K9 e, [: b; D[
: N9 t6 A! q# l+ Wlet trade-record-one-j-l-len length item l ([trade-record-all] of customer)2 a, S* h% `6 D
if (trade-record-one-j-l-len > 3)
% k1 g3 d( y- t[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* `! A2 p8 _& ]5 a
let i 3
$ @. F( G7 m! m5 f; k& nlet sum-time 0
& C) v; R" g# Q! {while[i < trade-record-one-len]. r1 j7 Y: d2 P: O1 ~" x
[' I/ g+ J- @- I/ h( }3 _0 @$ h
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
. Z" W, o; [: K9 W( bset i3 q" b `2 W. Y. W( u
( i + 1) @$ X [" a w9 \" p
]
1 c% F# A& K+ @0 W& p+ \5 b! zlet credibility-i-j-l 05 ?$ ], O! f, t' h
;;i评价(j对jl的评价)# u1 I6 v5 x7 w6 L+ {
let j 3+ C9 ]9 e* F2 s
let k 4
9 n/ b9 E( N7 c! D4 ]while[j < trade-record-one-len]" W* V8 D5 p, Q- q( S: y
[0 C3 E, W3 A p' y& x
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
" g# k) U1 _1 c- @9 V2 W& gset 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)& s t' u. ?& e/ [, C
set j
$ p6 {4 N: n+ W' P$ s( j + 1)
* b" H% j$ k, m- ]]
. \$ K- m4 R) E! U# ]( e+ M$ s0 Rset [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 ))
- l1 s7 i$ J; _/ z
, D* j' _" [# [2 y( Z9 S0 [' A6 r7 T/ j
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
. |4 u( y# ?) L/ X0 j( A;;及时更新i对l的评价质量的评价8 s# }( J, u( i& ~8 h
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
: ?7 D: W8 t8 x9 b% Qset l (l + 1)6 g3 ^+ M, \3 @
]
& F, L- D T. z. Jend
; E+ b; x2 F6 G( m% {5 l; z* X9 |% ^6 e4 P
to update-credibility-list
0 N: X0 q% q, b8 `3 V9 C7 v; z' dlet i 09 M$ e4 \, @# l, z- i* V2 ]& Q
while[i < people]
+ W) O5 C$ h/ h- v0 _[* s: r _0 i( f3 X- q; W+ C
let j 0
. J& U0 x$ K" v) S# e( `let note 0$ Y% p8 d3 f) |+ G$ C6 s
let k 07 @& K" R. w* V& A" `, o
;;计作出过评价的邻居节点的数目; _: e! Z5 S- F4 q1 \9 N5 |5 J
while[j < people]
0 h% K( {2 N' S2 V& S2 t1 F1 F[9 B L+ y% ?8 y9 @
if (item j( [credibility] of turtle (i + 1)) != -1)
& e( V% c6 D: ~; z& F# y$ a( G;;判断是否给本turtle的评价质量做出过评价的节点7 g' K$ U1 c6 i! u
[set note (note + item j ([credibility]of turtle (i + 1)))1 J- U0 c, c& u, f4 l* ^: k+ ~
;;*(exp (-(people - 2)))/(people - 2))]
; o) ~) x6 U5 I8 }- ?7 wset k (k + 1)
- r/ ~: E6 p" t" d5 _* f]
& w; b0 m) H) D! o& E: _* i% Wset j (j + 1)
" V; C9 e6 n- p5 E8 ]]
0 t: H7 j% p4 `9 B# h4 i. h* Wset note (note *(exp (- (1 / k)))/ k), A# Y$ M, `( u7 N. M% L
set credibility-list (replace-item i credibility-list note)- m* b4 t; {: A! C. h
set i (i + 1)
. v g) ]8 D8 ?3 v7 y9 p; e]
$ Y2 n; e+ n% qend
) c6 V* X$ t' @) d6 @6 n$ m
2 d4 h1 g% [/ b: w9 hto update-global-reputation-list8 p0 e( r' Y% i. z
let j 07 X; i. u1 W* O7 X9 W+ h
while[j < people]
8 r% U7 b! R* G3 C4 r- M6 R F[
% m8 t+ M. }' P/ I8 m0 `2 }, T) xlet new 0- k' u/ r# @$ k/ A% Y& X
;;暂存新的一个全局声誉
/ g8 W# F/ q# w! I( y klet i 08 m* z' m8 G& J" H
let sum-money 0
$ C: A8 G' K% H6 x, L0 Elet credibility-money 0# ?: {4 t: s8 F' [) E( r% Y
while [i < people]
3 Q9 C0 o3 P! b4 |[
0 m( M' c# S5 d9 }set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))0 J5 d0 ]% l: Z! J6 C# l4 e
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
1 h( l% @# p6 R+ ~set i (i + 1)/ D9 A; l4 c. E5 v" T" t; u! [+ O
]) |) p5 m: O/ P1 f: p
let k 0
- Y! s7 \, I/ b& W& k: Tlet new1 0. y' q4 v* ]: v. b
while [k < people]+ ]- F" l: T5 Q1 r" `6 G
[, |9 J& s% s8 ^/ @" ^
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) U, V! Z( I% Y, Y( ]
set k (k + 1)3 A! T! y- W1 R( \7 f
]
2 X. t0 A7 ]. p0 |set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
0 ~1 w6 S: C: E, Q* \1 Jset global-reputation-list (replace-item j global-reputation-list new)
, C' U: Y% r6 ?' S# eset j (j + 1)5 c2 {4 Y# n7 c) r
]
, x+ g1 b: l, b& S/ Gend
5 O) e7 ~2 m- C) ]1 s
8 ^+ R0 N% M7 F4 ^+ ?/ {. @
. G% \7 E' y* n% K H, B9 j5 K
- ?% L% h, P7 Z5 M; v* f6 O* _to get-color8 {8 H5 T* U, i2 y6 X
8 ^ I* E2 M. Z$ l( ^8 A
set color blue% X/ N" I/ ?1 Z# C0 i- W; o
end1 c# |: d6 g' Y2 ~5 w. \5 c
- \8 _9 k$ L1 I0 z7 h% `; x; P
to poll-class
' Q8 u8 r) y4 d w7 J! R0 wend0 N% \" [$ Z$ W) l, E
; e$ I0 i0 ^1 A* ^) H6 s" \to setup-plot1* }/ L; ^" p# b1 x
) c5 P7 z2 V1 o/ [, O, C6 ]9 u: c& B
set-current-plot "Trends-of-Local-reputation" m* z3 v7 j7 F7 e, o
- a C7 w$ A R8 ~& f$ K L( }. b" M/ Z
set-plot-x-range 0 xmax( q# [: c$ [5 o @# r
; n2 L1 E' K0 ~' [set-plot-y-range 0.0 ymax
5 d3 u% ^9 e6 A- w' y* G F8 Dend X- }) E: ]1 Z1 l" A% `
3 T; A/ J `4 P7 B1 f7 `& M# l" r+ _to setup-plot2* O: K+ \, l1 F4 G2 T
u7 w/ h7 r$ o1 J
set-current-plot "Trends-of-global-reputation"
2 z4 l) k* `/ d" X+ c9 B9 I( ^* L- Z; y' c
set-plot-x-range 0 xmax7 n7 K2 I& D0 F) t
# g6 J/ p0 z2 _) [. P
set-plot-y-range 0.0 ymax7 f D9 y ^ C
end2 W2 p' |/ u6 {$ Z, Y
; Z2 F, ] R# W' I" L/ x$ N' p
to setup-plot3
5 d% z- A' d X: V6 y0 t3 I/ N) G* m5 I0 e$ n- y
set-current-plot "Trends-of-credibility"+ t3 l$ C( J. `. j+ n% T
* q# K% D& w% \/ O$ l: p# i
set-plot-x-range 0 xmax
! n3 N7 P4 ?1 y4 N$ x
5 m" y2 `/ f$ f& a% u$ mset-plot-y-range 0.0 ymax3 e8 K$ g9 H4 L) c
end
. o: y$ G0 ? J- M; z0 H" I; M8 n
to do-plots
[4 M/ E W( |( ~+ W. Cset-current-plot "Trends-of-Local-reputation"
! g; A" @' o0 m2 sset-current-plot-pen "Honest service"4 G( a% K* e) |4 V4 n) ]
end
# z2 U% h+ |! W! d# c5 T- ^, c6 X2 y8 q- C O' {+ j% E
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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