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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; M+ M9 L' R1 K# Y3 p
globals[. o# z. G, F9 ]2 K% T
xmax
! ]7 v9 h2 m" D" ~, M8 l8 Yymax9 [% c( D. A( z: M6 K) u
global-reputation-list3 d7 e5 M$ m4 Y3 {
0 S" \" P$ ^/ ~- B( f;;每一个turtle的全局声誉都存在此LIST中
4 Q" q. y* l+ p4 J- w8 mcredibility-list- f& n% i) p+ \8 `
;;每一个turtle的评价可信度, \) Z& H" v& q* N" @2 K. o0 w
honest-service+ G. K/ u4 C, i0 n# f9 E
unhonest-service; V, e% R! [0 k
oscillation6 G k4 O, R" _
rand-dynamic
( m% \9 ?/ `- I; X], I" D. e, \9 W7 ~9 ^/ {
# m8 J$ {1 X6 h7 A) O1 `; i x4 v
turtles-own[
! S9 m" }* M- c/ X4 wtrade-record-all
: P3 Y1 g3 `2 Y1 j6 ^" D3 [+ F# P;;a list of lists,由trade-record-one组成3 d. a1 ?. J1 z
trade-record-one
$ h% O0 ~. w2 A) M 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
$ q1 M* h2 L& R+ p. y( n. [8 T
. W/ L- B8 O3 k) h;;[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]]
! |& c2 {& m' ~( |+ V. z& a+ o% ltrade-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]2 V7 Z3 p) O* u7 i) b% i( V
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) t @- ^' d m* N! X; N$ g
neighbor-total
: d: K2 t' i9 H;;记录该turtle的邻居节点的数目
! g. T% a+ _' otrade-time
$ `, e" p" ^7 t: V2 Q( X;;当前发生交易的turtle的交易时间- D( L% C& M+ V" ~( H/ l0 B) F
appraise-give
+ @8 O8 P' m$ B; H8 z+ i8 c% {;;当前发生交易时给出的评价
3 w( k9 r- j( Z- _, xappraise-receive, J- ^7 `6 @4 H7 y
;;当前发生交易时收到的评价* B5 M$ b/ D' \& L% }
appraise-time: [( W/ E- k1 I: {* j1 N
;;当前发生交易时的评价时间- J9 U7 a: g6 C: [- o" M2 t; R) D
local-reputation-now;;此次交易后相对于对方turtle的局部声誉2 e- Y; Z0 g- b- g
trade-times-total2 u0 g$ R. c* f
;;与当前turtle的交易总次数" y+ M G' a3 g- y
trade-money-total
- i6 w; J5 Z+ M6 a2 o;;与当前turtle的交易总金额8 z% h4 T+ x! T+ P, g N
local-reputation0 u6 g) ~4 _. x! R) @) P8 O
global-reputation
8 V' ?9 ^6 i2 m r& y5 _; w M+ Acredibility+ v9 l+ q( d; v% W
;;评价可信度,每次交易后都需要更新8 l, \) [: T& I7 @6 e
credibility-all! c2 `# l; [5 N% J& E$ F
;;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
6 }: Y! k8 @8 h) G
2 k' ]! G2 l1 r( U% E* h6 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
, t6 G& Q8 e% R& E2 D6 ^credibility-one
5 g( ?3 D4 F) {& }9 h+ k) C$ ];;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
$ Z! @$ C W+ a/ Q8 qglobal-proportion' ~# c) ^, I" h! o- {# \
customer
' c& { R" s4 x% icustomer-no( b4 u# z) x5 |
trust-ok/ O8 p# x/ l. ^* i3 v; W* a: M! V
trade-record-one-len;;trade-record-one的长度: I0 y8 ^# h# h; R0 Y
]
7 P* W& H+ x, Q$ g! P! [5 x7 D
0 n9 J! x' f/ A* K;;setup procedure y- n/ l! v) k! t% }
8 J8 p, q4 e5 L" V1 M; A! _' E
to setup
?' e( ?, J: e3 v! A) o
( _5 w/ Y% s/ ?1 p" H4 E, fca) O D' j+ {% b5 k; g6 Y
& O" v4 O1 V2 w3 i3 J3 A( x
initialize-settings
6 `! B; \. C# R" p- ]! I# a5 g( k0 T& D8 P
crt people [setup-turtles]& f6 ~7 B8 e; S/ i8 \* Z
2 M- T/ {9 C' R( r7 a
reset-timer
* M+ g2 I M$ o2 q. g" K0 J7 y- R' U! v9 x; z3 O
poll-class4 Z0 ?- [5 L7 M6 d" ^9 b0 R" q
3 ^# m/ w6 Z; T6 ~) H$ X" |1 J1 l
setup-plots0 w5 a6 g( p3 Q2 w0 F
+ F2 Q+ Y! q9 j+ I3 F) L$ Q/ bdo-plots: T L% {+ {- U' q
end
$ E- V0 @; ^7 l
; x' \6 N) |1 k; _: I5 xto initialize-settings
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set global-reputation-list []4 z+ E/ p2 D) Y7 I# d" t4 [; N
0 U. z/ i) }, w0 ]& `0 u
set credibility-list n-values people [0.5]- h2 Z$ z+ W* x. P
! q: p! o5 d' W% kset honest-service 0
3 W) J3 h% b' w7 @7 i1 `) Q
0 M2 e( j! D. {9 ~! Y+ lset unhonest-service 0
P/ j2 `4 ?9 c1 d8 }" A6 g
4 Y/ A% ?' x* Q- _set oscillation 0. I# h7 U) U& y' l$ S( j
) y- k1 ^' o. y: K& f: h
set rand-dynamic 0; i2 J1 l) e* n& D
end
$ {; S2 C3 z7 l, J+ R, T N& {2 b5 ?. z* h% j) a, p
to setup-turtles $ s" ^- N( @( l" P
set shape "person"
; g& t& y9 a1 s0 V) [) M1 _setxy random-xcor random-ycor
/ _; J: m9 l1 r: r& l+ Xset trade-record-one []
2 J( _0 B4 k U B8 @ \& R+ s7 y, f. H/ k+ y2 x8 g% Q
set trade-record-all n-values people [(list (? + 1) 0 0)] & @2 c( m3 q' T# X6 p. v
, o9 s$ h. @9 {( P& Z8 oset trade-record-current []& l6 l- R# C* {4 C! Y: ?
set credibility-receive []8 v p/ e% R- {# d
set local-reputation 0.5
' J; X" s3 p W" I% f. Bset neighbor-total 06 l* f I+ k6 G& L
set trade-times-total 0
1 q$ g. ?4 j2 ]: N! d( o( ], Rset trade-money-total 09 v8 I. p! U# D" x5 D
set customer nobody
& H- O# L% ?5 u' F$ I. O/ Dset credibility-all n-values people [creat-credibility]
% Z2 l, p- U6 ~; t* zset credibility n-values people [-1]; |4 }8 m. Z0 |1 w
get-color8 [: i0 W: F+ w% U% _) l
1 G+ p, {$ S d" M$ cend2 B, P6 }" t. e
6 X5 ]" Y$ l, H% g7 }! F+ cto-report creat-credibility6 s1 @5 C' O$ `# [
report n-values people [0.5]6 I+ ~. a5 ^ D* H% H; W. o
end/ v8 q6 r+ x d
; a! d* e+ _5 W) `
to setup-plots& F0 ~4 x1 n: v6 i( g4 ]3 `4 [
3 _9 @7 y3 @- m4 C1 I2 q* L5 Iset xmax 303 \1 a+ s% _" q3 h1 _
& [7 E7 D- V9 I# A* k
set ymax 1.0
/ {2 p9 x7 E" x' T3 Y
8 E: _4 I* A* [" Y3 T# k% jclear-all-plots6 Y- e" y6 V. [& e* w" P( S! I
4 |* t# h7 g! i6 n6 zsetup-plot1! @9 _1 ^# C# t! T( @7 u+ j
) m6 Z1 m2 s0 { j
setup-plot2
6 L5 @( Y& X' z4 }3 h0 u+ O% {4 H2 e9 G% D( y
setup-plot3
7 K5 g6 L, P9 Z% K6 ]9 n) kend1 Y( {7 D/ i) A6 d/ y
2 M0 I5 U& c+ `1 r. e
;;run time procedures
2 y4 ^& f# \' D
" y) K* C' w: p2 v& k1 t* rto go
. g& q' B3 }5 i
4 W( S/ s2 R- D& sask turtles [do-business]
$ ?3 O7 P: J1 O4 Y# B/ [end' W1 t" z, O4 E7 y C3 V$ c
# ?$ y- Q. ^8 b8 ? x8 L
to do-business
" N3 ^2 f) h; E
/ T6 F k0 M, d; I0 E+ U1 a& Q& C. v @0 c
rt random 360
t( I* G* h- i2 s t; G4 p) p7 G+ R
e5 |) N; O6 g2 M6 Gfd 1
; G# B8 K5 P2 O! r8 g. }6 d P. x' {3 O% ^5 f2 Q# x6 {9 t% `. H7 [9 F
ifelse(other turtles-here != nobody)[
* c3 X2 I6 | a% J# k
; Y" ] ]; z2 W2 J; s; sset customer one-of other turtles-here$ s' @. O+ v+ X( M, r
8 f- \2 @. z5 Y& S;; set [customer] of customer myself, ^4 ?; A& v- O( k6 O" T) A o$ S
0 r3 C$ S" s: C- Z% Zset [trade-record-one] of self item (([who] of customer) - 1)+ Y3 o' `6 m3 }* y
[trade-record-all]of self6 j- n7 J- c, I0 O5 s) u* b5 q2 a+ s, `
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self+ |5 C+ i3 \" p, j: @" N
4 l+ h V' v, w \- \
set [trade-record-one] of customer item (([who] of self) - 1)
; o- N8 k, ?2 x" {. _[trade-record-all]of customer
. b3 m# G6 D% P" ^/ ]
7 E, Y! L3 M6 J8 cset [trade-record-one-len] of self length [trade-record-one] of self
* x9 c% c% p2 `% F( X
( ^' u. G* G+ p Q Y- K* q& l* h+ Wset trade-record-current( list (timer) (random money-upper-limit))- Q z1 K7 W* K: ^0 S0 G. f& V- L
4 h; L Q4 @& Pask self [do-trust]9 z2 g& s2 e" V7 g, Y, k- G7 _
;;先求i对j的信任度6 A* B: {: ]+ [- B# b
3 N) h( R8 y D# S n; W# k4 f! W* Jif ([trust-ok] of self)
$ \- o7 f* N( h( e' v2 F. v% R% \8 l( Z;;根据i对j的信任度来决定是否与j进行交易[
% S5 c4 D5 C8 F# B! _ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself( W: m& |; T1 k, [% W0 l" v. a
8 y3 n! L6 }9 B" C5 z, {% \[# W4 C& j3 |% J; L5 B* }% M
2 T! _' Q- a+ U, f. H7 r
do-trade: R) A+ l$ J" }
/ ^- }1 h; B! y* l) C4 @update-credibility-ijl
; r+ }; P& t0 Z. e3 ]& k$ ~) @( ?; h" @; P0 P( T; e; W+ D1 A
update-credibility-list4 |# }2 a; K* R- N7 w
% p5 Z- z# ^9 p* r6 Z: {
% @+ G4 N% d4 }, d8 B) X" t4 z
update-global-reputation-list3 ?2 y; T0 h: D! \4 V% m0 w
$ {% C$ {% C: t: Z$ D( S3 U$ x% `poll-class
$ b7 U3 r" y2 V2 W
* V8 M. Z5 I; C( M2 V- y" uget-color) P6 n' K( f. ^4 ^" O, l
* `! z6 J+ L9 B( l E/ o]]$ L% S8 b0 h# j: n
1 @- X& D% e% h/ L
;;如果所得的信任度满足条件,则进行交易9 ^0 J1 y( g6 A/ Z# Q
# [# U$ W. ~. |- F$ l3 }3 U[
`3 Z; {4 T3 E. J0 L, F( ^( Y; T' w2 S$ c
rt random 360% t, ~& c3 R) F5 _. ^1 [
: F" Q* v* ?6 L1 j% m/ g" o
fd 1
% x' l7 c y' W! ^# U( k9 q% j! G) f+ |- G; v; [
]
$ W! l* E9 F. ~. c# H' [) f1 ?5 O; [' H r& R: k5 o
end; |' M: Z4 \- W7 D8 [/ k- D
6 K0 n6 @. R m& |$ z9 B: q9 _to do-trust
, M- w5 R7 E* ^' P4 Pset trust-ok False
, e4 c8 Z5 z( q2 o& ?4 k1 I5 ?! J" U8 F1 O" v8 Q* w
K* ^' b% ^5 v. L, K
let max-trade-times 0- w5 I2 j: z* l3 f" C" K: Y
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]0 `' m, n/ I- V j! O% s
let max-trade-money 06 g7 z' F$ y7 @$ a
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]" W2 s+ | V# ~) a! w& v) f9 @
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))+ X0 ]( y e6 h
% v) e: ~) X2 A3 P
2 V/ g' L5 N6 @( d- |2 n5 A
get-global-proportion
5 t; w$ C& p& qlet trust-value
" K; o% V. @& x% g. G" }1 qlocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
# y" o8 Y" _" c. Q3 Oif(trust-value > trade-trust-value)' i/ ]+ V4 a, C4 E
[set trust-ok true]" S, e& [0 n+ \
end
2 ]+ I- Z8 E2 L/ }, Y0 Y' a' [: D, o3 N6 y
to get-global-proportion2 W& T: s+ M. x# B
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
. ?. Y3 h% n3 W+ H; D8 D3 b[set global-proportion 0]
1 ]# b N% _# e9 {' |, _. ^2 h[let i 0
0 K: x- Y; \- _$ p+ Hlet sum-money 01 ~' O) w* |# j8 i
while[ i < people]1 a' n8 e& H" y
[
4 P T: o2 \$ R0 ]if( length (item i
2 l3 K3 @( C; T: h1 A7 q[trade-record-all] of customer) > 3 )" J" c* o7 V- Y/ d# E
[
! b3 u5 h X2 |) C4 `# U" Yset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
' d% c0 b+ H# S5 |* h3 Y; ~]
7 Z* B# [1 g8 U4 c]
' O! L( w0 [/ H h: }6 j5 ]let j 0% R: @; i& X* a: b* v
let note 0, _# k" C. O3 k1 I9 u
while[ j < people]0 m$ L4 _- b& u& g$ I% R# A
[( |; B& m# _# R6 ?) G
if( length (item i
) {5 w& K0 u Z1 w2 n[trade-record-all] of customer) > 3 )
6 V' T3 g( i1 _9 p! U[
' N. j# x7 O ^1 `- fifelse(item ([who]of myself - 1) [credibility] of turtle j != -1). Y/ ~0 n! O! _) {/ R
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]$ A; l' P7 n- B4 g' Y( Y/ j6 y
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
+ [! a: q, J: j1 h+ r]; g7 Z7 G% |) e- ]0 b7 \/ N( x6 |5 F
]
) ~, t- M! g( x( eset global-proportion note
9 q% U+ B- T* x( S3 o! b]
# t R7 ^" h3 {! O7 u9 mend/ W K6 @& ~0 a0 n
1 ?) I, L, u( p' wto do-trade. q8 m0 X( {: h! h& F6 j! l
;;这个过程实际上是给双方作出评价的过程3 y# s5 H+ h) H% ~- V# K+ J9 K" b
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价" i2 G: H+ D8 G% E7 T$ E
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
' F/ m$ z2 @9 i- y/ f- Rset trade-record-current lput(timer) trade-record-current
3 s# s, S8 s3 g" R4 n0 u+ S;;评价时间
; z: }, E8 R* b0 Jask myself [
0 \6 C% g" X: _" ~: d% _' uupdate-local-reputation
" @! l; \7 {3 V. o1 @1 j5 q+ pset trade-record-current lput([local-reputation] of myself) trade-record-current
- T" x& M% E' Z, \, s3 I]
: s- n7 D$ _ Z1 I, ~1 A; O; a2 W/ pset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
( C/ L1 F6 Y1 G5 T+ Z" M;;将此次交易的记录加入到trade-record-one中% H: }! G0 Q1 t, ~. S
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
% E) G9 I5 i+ G: z! D! X& a) Zlet note (item 2 trade-record-current )
. S1 D/ b' n+ r9 A# @2 aset trade-record-current
! J7 q* u8 @) _" K5 _) h0 w5 i3 ~(replace-item 2 trade-record-current (item 3 trade-record-current))
T. h9 u' d* k* c( Vset trade-record-current
( P2 d7 c; A8 w( e4 F(replace-item 3 trade-record-current note)9 ~7 Z) h. D! h+ p7 @0 t0 [# E$ w
4 q. J8 O% w$ Z# t* x$ u
3 U& \) P6 n* [+ ^4 Q& R3 z- {% oask customer [$ `- i7 z% ^6 G2 M
update-local-reputation
# S4 Y, ?1 @$ k. Qset trade-record-current
+ L9 [) k9 J" ^! ]/ Y) b5 d(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) 1 p9 K& R# m6 |9 s7 K/ l5 |
]
! y; A0 |( @2 M, l9 F
) V- Z: c/ X, h( X( T$ b- Q. B9 u T
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
+ t$ ~3 o* Z" [: _) k+ _
% m6 m/ A* L& ]$ i' e; iset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))+ }2 y* m ]/ I
;;将此次交易的记录加入到customer的trade-record-all中
6 k8 i2 ?1 {% j9 j {8 |end
/ f i- |7 t5 x4 k
. I3 n5 G. d1 s' ]' a; K2 J( kto update-local-reputation
9 \7 j( y( ~; x* s. cset [trade-record-one-len] of myself length [trade-record-one] of myself
7 d* q- S9 C& c2 ^: f5 `) D4 x
& \8 J, [/ B: M1 X( p, e! H/ O
, s3 z7 r6 V! B( Q;;if [trade-record-one-len] of myself > 3
. K2 o, G1 ?/ }% E) l T' ^update-neighbor-total
$ ^1 m; V6 i/ N5 N0 ~9 u: u! [2 J) I;;更新邻居节点的数目,在此进行: Z0 Q0 u& l0 n8 m3 ~6 _
let i 3
( g: ^# v9 c2 f8 r* n1 p* Q5 ylet sum-time 0
3 w- L& ?6 z9 S5 q4 a7 Vwhile[i < [trade-record-one-len] of myself]4 E& @5 ^& U& z
[
2 f# ~1 u0 m. L1 @- S5 dset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
- d9 Q% Z, y( c8 d% e, V% Mset i- d! O; b. G+ V- A( i/ d# P q
( i + 1)
, d2 ~9 Y U/ r4 {7 Y m' A]
% M! |. t9 w- O* O0 U2 E: |let j 3/ s/ s; _$ Q' N1 `9 L2 k3 q$ b
let sum-money 0
@( w2 P4 F; c* a; ~( Z+ w+ O0 uwhile[j < [trade-record-one-len] of myself], E$ P( y( R( P- _
[
$ u& k K9 |1 l6 f+ Gset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
0 @% y0 E& V/ e! C& gset j
8 m& N7 {6 y8 L9 {( j + 1)
, ^" d2 e7 t j" v]
. r( ]5 d" q K# ]let k 31 i( }) H6 D. W3 B4 j) M9 v
let power 0
4 {( ~3 @3 R7 N* w; nlet local 0
, @, u5 F- K7 ^: k) q* Mwhile [k <[trade-record-one-len] of myself]. I" \ l0 T& `5 k5 y
[1 f* [4 f6 [: l/ ], 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) 8 c. x* @9 L5 `! ~9 r9 ?
set k (k + 1)' n( o6 w! g4 P; R
], w$ b6 Q$ g( \$ Z3 M7 ~& n
set [local-reputation] of myself (local)7 q D; J- w1 x2 W F4 H: k
end
6 Z7 [, R1 W2 X4 g f; a8 q. E7 A) u- i* x
to update-neighbor-total
0 m) ~* o: y* n. X* Y8 _8 v
- N: D1 S, m' nif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
- C$ Y4 Z- e& B; D+ u
/ {! c* D0 A0 f4 ?6 O6 q8 j
9 z* @- o5 E7 d5 i4 `9 G: pend' H' X$ y* F: J
( m3 q% y [. q" |/ H7 hto update-credibility-ijl : q$ y3 H# S$ d# e3 |. B6 ^( B
- D" i, O0 @8 H% L' m) ^;;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。1 ]8 {2 |: ? W
let l 00 s& K' `2 L( E# P* N
while[ l < people ]# t# w) u; @" U; k$ ]
;;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
* l9 B }5 U5 E) W. y2 N" Y8 X) A[
5 o" I9 \; r, I9 l8 W9 Hlet trade-record-one-j-l-len length item l ([trade-record-all] of customer)
6 G. W8 Z, T6 v# ~/ r6 z7 ~if (trade-record-one-j-l-len > 3)3 J- o/ B0 j4 J1 b" U" P/ G* 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-one5 s1 F3 A6 _1 A7 K$ k
let i 35 M2 W5 B; Z" q: l- n0 f1 E
let sum-time 00 e8 I) ]/ u: g' X& l2 d# ?, J
while[i < trade-record-one-len]
' n- F# Z) |0 e) t, ?' K# t[
) \9 E% Z( U6 E! R0 jset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
; w5 A/ M8 S: Q( Z4 Q0 F! z0 M' Gset i
0 s3 D2 {5 U/ o1 V% y( i + 1). M0 C, {" I0 r8 L; ?$ C
]
F. ?. n7 V4 Qlet credibility-i-j-l 0' m/ x) y! O! q: C
;;i评价(j对jl的评价)
! g3 r4 J2 d1 Zlet j 3
" h, y) t1 }. c* H4 Rlet k 4 q1 h: e) m* `0 t9 _: C
while[j < trade-record-one-len]
4 D) d. f; e. ]/ t; M[
4 I# D% V- E, Q3 [& X5 Bwhile [((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
+ E8 c9 Y. g1 Z0 m7 Q2 Z- Jset 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)( c7 b$ P7 e+ R- D6 E
set j: C* Z5 O, l! ?
( j + 1); Q% W" S+ `* U% Y7 Z! C* S
]
3 o4 ]; e1 h: g: J7 a+ ?2 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 ))
, x( i0 x9 R. f! S( j
: _# A2 I9 x5 |( p8 C+ z7 e" P8 }
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
) s" o1 P& n/ T+ S7 v;;及时更新i对l的评价质量的评价4 Q8 Z0 g' v, C5 J" }
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
. Y7 Z6 e% j! C# iset l (l + 1)
( N# W' w! t! X$ M8 p7 ~]
& k8 g- n9 J2 m! t. I) kend' W, n, d+ u( P' E- [: D f* [2 m
9 s- G' d4 B6 L5 R- q
to update-credibility-list4 X M! a! j" i5 b2 z
let i 0
3 @9 @0 w- T# rwhile[i < people]" m, P) A, m; E4 A+ N
[ c0 a# |! q' K6 }8 I- _
let j 0
2 q1 T' p) Z b; e# `! Qlet note 0# v4 u2 T8 a6 ^- A0 F2 [
let k 0* N1 Q( a" j( F$ @/ M! y5 q# R8 r0 d
;;计作出过评价的邻居节点的数目6 Y6 g# U7 F9 b0 o
while[j < people]. ^6 T' ~2 G6 |" p
[+ u; R* \# B* x' T* Y7 B
if (item j( [credibility] of turtle (i + 1)) != -1)4 E( q0 g' Z0 u9 e- Z) \7 F
;;判断是否给本turtle的评价质量做出过评价的节点. F; x# w: l' v' ~. q
[set note (note + item j ([credibility]of turtle (i + 1)))
% ]8 a0 h/ e) d$ b& x: [: s;;*(exp (-(people - 2)))/(people - 2))]
( h! ?2 P& ?, f2 N& v9 G( Rset k (k + 1)! \; K0 u2 t% }4 S$ Q3 Z, z( s
]7 K- y6 N: k- Q( c8 D6 P* w# u y
set j (j + 1)
9 l* g U* X- {2 v# ~( E7 n]) g4 w4 k2 q. O. V. A) y! d
set note (note *(exp (- (1 / k)))/ k)4 F A$ c6 U, E% k0 \. S3 i$ `
set credibility-list (replace-item i credibility-list note)5 y" A$ M7 v w3 x' j9 m* h
set i (i + 1)
' o" q$ o8 M4 Q5 ?]
& q2 W! a8 J) }4 eend# d: z! g7 p2 D
5 S& Q) ]0 _7 s z, H
to update-global-reputation-list `8 w" @6 }! L8 k" |4 a" [
let j 0+ l" q& C/ i# r6 P+ T
while[j < people]( u6 r" F4 A L8 z1 o2 j% U/ p: w
[
2 t, i6 N' I. M& V% slet new 0% G6 M' q6 D: z0 {4 q
;;暂存新的一个全局声誉
3 u" H7 ?$ K* D% mlet i 0
4 V, E# A. V" C0 c d Mlet sum-money 0
0 O8 k; d) x4 ?let credibility-money 0' H' ]/ k6 x1 P
while [i < people]6 w" m/ C- D$ {/ L; B# u) X" o* a
[: x7 A5 | b' E3 k2 s0 F; b
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
4 i; |1 Z, ?/ p" qset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
9 Q5 S8 s% N, G+ [; _' n( Oset i (i + 1)
1 y/ B( b% u$ s]& k6 z* a* R! I* W+ _ J
let k 0
8 W. ?2 ~) }1 W: wlet new1 08 J, H& v, R+ ?: e* d
while [k < people]
* S2 q G* _6 X, i& ^[
4 V) H2 \) x a! s5 a) h/ A1 h; kset 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)
, }" c1 S0 |7 @$ |: ~2 a8 t5 qset k (k + 1)
( ], L5 _+ q$ p8 f7 r3 @]1 q5 K: `: Y3 V5 W1 L, }
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) " k' v% \4 D2 F4 ~2 b/ O, K( {; w
set global-reputation-list (replace-item j global-reputation-list new)7 a) a- l" E/ E
set j (j + 1). Y$ V% t& b+ P( n2 P' }! J: Z% t
]
$ o* k7 a/ b" eend7 Q6 w. K$ r9 I/ u
0 I& W5 M8 \: F6 X; G- Y
1 @" h5 F, h8 c* G. [( }6 Z& J7 c% Z% `3 l Z: W
to get-color
2 ^/ s' g4 H8 m. M- A8 B( Z8 _
& a2 ~6 W+ h* f* @& x0 Jset color blue9 k! ~, _1 [$ c7 E6 j( ?. e' s
end
0 i; {# D& p& {% S k; W) d, h- a/ p+ z
to poll-class1 r+ K( b8 |7 k- l ?
end+ N; U5 }% F) s" K* g, v
6 o$ @; H/ P, v. O4 t" h0 G2 `' S
to setup-plot1: K, l, g+ t6 r# N* y6 k
; M0 `" N3 r M5 P7 C! X: A
set-current-plot "Trends-of-Local-reputation"
1 A$ Q+ v- C t# P# I) s4 L* ]* i: _/ r( Q4 x
set-plot-x-range 0 xmax/ M, b7 {9 y. @
5 G( W' u3 Q. d) rset-plot-y-range 0.0 ymax4 Z0 x2 w4 v/ J0 W+ R. g
end
, i+ k" C! c/ J' U
8 B' F: @' Z' T) F4 `# b( U gto setup-plot2( G) q+ E5 O+ y* E8 X8 \3 k
% l6 n# x& `" {set-current-plot "Trends-of-global-reputation"' ^6 a4 O( W+ `
2 m2 j2 I$ }3 vset-plot-x-range 0 xmax
! Q( P" R- U. S! i* [8 b, \/ e' ^
set-plot-y-range 0.0 ymax
8 [8 z9 j/ Z7 u# g% kend
O$ z, y3 R+ I. |: {) L1 q8 q P
$ i8 O; b2 H! N2 X: L) I) nto setup-plot3
$ j0 o2 G5 U. I) ]) z2 p6 J8 A
set-current-plot "Trends-of-credibility"+ T6 f: t6 p( {7 _( [/ z5 r- A
! r3 l% Q% f* x. U% f
set-plot-x-range 0 xmax8 i2 H$ z; X, _/ b0 C# K. j! l7 F" W
0 q7 X. m# A/ F0 |6 L0 t* fset-plot-y-range 0.0 ymax$ y$ ^: h1 ~4 u p# N
end( |& L2 z! j7 Q: k6 Q# i* k
K! O2 k, j. B4 Q' e! M" i zto do-plots
# T6 G1 L1 h# g9 Gset-current-plot "Trends-of-Local-reputation"$ X$ Q/ u, g( a2 _( f8 y
set-current-plot-pen "Honest service"
! h4 h, V* L6 }4 ^: {end
$ `* _) B1 f* X/ p! W& ?0 t k& p" c3 p9 z
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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