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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
0 W- ?4 `8 i9 a4 ?4 o Zglobals[. t9 ?( ^) k! m( u5 W$ W {, k
xmax- }! W2 l& v+ R' d$ m' z
ymax' b% M! N8 m1 Q0 v: H
global-reputation-list$ O8 D b. V. Q* m. k8 W' d3 ~6 M
9 O2 Z& {, m( k- H( a( k1 Y;;每一个turtle的全局声誉都存在此LIST中( S. q$ t( i( A! w
credibility-list6 A% Z% s. [7 D; k$ Q
;;每一个turtle的评价可信度
\: _6 _" }9 }4 b; L( hhonest-service
9 p8 K: i+ N, A7 k, junhonest-service
' _5 I" S8 [# m9 O- x2 Moscillation2 u/ d- Z$ B( v* s9 ~5 C
rand-dynamic
& t& i" v) Y4 C) g, g7 ^8 @: }" F]
% e5 E0 p& B. U3 d9 O
6 q# g% \4 J* J; o0 G. q" [turtles-own[4 Q+ N6 P) H0 G- n; L: ?9 M3 e
trade-record-all8 L# e) J9 _% H3 W' Z1 _
;;a list of lists,由trade-record-one组成
( q1 @1 ^) B; [* z4 Btrade-record-one
% ]% d* s) F( h- R* G& f; w' y% w;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录: Z1 K# d: N, M( u/ U
( ^9 P1 _4 E) H$ v;;[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]]
0 U; J+ A' t1 u/ gtrade-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]
; i6 u) c0 z* ~2 \( Y2 lcredibility-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
1 i( \! v- e7 ?/ h- W; eneighbor-total
' v6 i' F# D# a5 l; _ [;;记录该turtle的邻居节点的数目 u- R4 [ o+ {! } I, v
trade-time2 T: M7 p2 h1 S. N+ d( d
;;当前发生交易的turtle的交易时间" w9 u {! P# _ G3 ?! |3 E; {& ^
appraise-give
4 V0 {' P# r& ]" y: d& E;;当前发生交易时给出的评价/ m7 z9 Y H0 d' S: A
appraise-receive6 F! h7 B/ R* W3 M0 A N8 u0 G# [( j& P
;;当前发生交易时收到的评价! R9 u6 Z, C+ V; [9 q2 t. a' x
appraise-time
. {5 q) F( T7 T& @/ O) g;;当前发生交易时的评价时间) F- r5 n8 k! Z7 `% X
local-reputation-now;;此次交易后相对于对方turtle的局部声誉) p W- w4 t+ t# B; V/ k% I
trade-times-total
/ t6 a/ I x0 e$ P;;与当前turtle的交易总次数
, p3 r, s' x. K% i0 k0 l) A3 @3 Vtrade-money-total
' e3 N$ ` ]) K: v$ J5 Y0 z;;与当前turtle的交易总金额
- f( {2 M, q, d3 R5 K2 Tlocal-reputation
* x( c" ~6 t. O% ?. ]global-reputation
( I3 T3 W2 A( N4 jcredibility- J) h* f, d5 s) b7 c7 a
;;评价可信度,每次交易后都需要更新
d1 N, N$ U3 L/ w6 Kcredibility-all
. l, \. C6 [/ w5 b$ ?$ Y# j;;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
! U4 y- w. R! Z- ^" U6 l" f
( v4 r$ R& L9 ?; 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" S5 K1 g) w$ ?6 Z. M0 B
credibility-one2 g1 q" h9 T: R
;;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
6 p8 k4 M% }) }# S% ~, s$ {global-proportion
% e* T4 Q' B. G# J @0 X" a2 zcustomer
" y) u1 Z% C# t( n- E+ dcustomer-no
0 u6 o! H* w4 ~/ ?1 n' htrust-ok
1 q. q& |3 P/ F" Q) }8 Vtrade-record-one-len;;trade-record-one的长度2 v) @ O2 D% {, l
]. p3 U6 p# [, w4 \4 J: m, W
* _+ }; W/ W1 p8 `8 U9 p7 g; F6 Z;;setup procedure5 g( g8 A4 O4 [, B+ i4 q
$ r O1 f" l* w. J: S. _to setup
" F. O' I6 ^0 L# P+ I t u4 U P t! m( c t+ s
ca1 X/ a9 H* T& b! y }: F
) g9 M* \9 o6 q' Cinitialize-settings
5 N: M* }$ m1 h- ]' Z2 \- L5 h5 h/ F$ a5 P# U
crt people [setup-turtles]" |7 O& [! S2 b- g4 V0 v
4 j: I" j) ^0 m+ n: M4 ?* V
reset-timer
* v& ]2 u+ i0 Y# n3 G& z$ }" F9 X9 |7 ^& v6 n) w& Q, f
poll-class
9 H; }$ a8 |% X" r3 K2 L9 n$ \2 F6 w& ^
setup-plots; Q3 w' l9 `2 m- A. @
- K7 D* t* M! Ddo-plots. {6 T, @# L6 [$ O, z8 o" c
end- {' w# w# Q! L, a& H
% _" p; y7 a+ o+ Q
to initialize-settings5 q! e+ [* m- @) ^! k
' P5 K* L% J5 s
set global-reputation-list []# p5 q; N; F0 X) F& Q* a0 N
% I' X/ m7 j; v: O- a4 X& X
set credibility-list n-values people [0.5], R& A& A0 d# |: y" H1 C* A3 O
" A" n1 Q2 e! t) I6 wset honest-service 0
; [. A+ c* @3 I4 u8 Y; h3 |9 j1 g& q) \
set unhonest-service 0
; ^# U h# r# O/ L/ ?" W x6 S) X" I. r6 ~8 k% e
set oscillation 08 F1 B1 v- ~1 z; W4 e& Y1 e, h( p
) d6 J K4 Y% L
set rand-dynamic 0
: k) [7 r; q9 I$ c% qend
7 G4 i' C! e+ P$ O# A6 U$ _$ L/ j
9 f/ j5 E6 l3 g( _; D" ~: ~7 I3 wto setup-turtles
0 V) `8 D/ a: J! Pset shape "person"# \3 ]1 M: Y2 ]7 W1 U, b/ g% J& R
setxy random-xcor random-ycor
5 O3 D/ y" o# W% q$ h; Sset trade-record-one []
1 |- [ ~6 u/ u2 v7 `2 M: _: d' w0 p
! G5 Y$ u/ r; h T+ A! @! _set trade-record-all n-values people [(list (? + 1) 0 0)] 6 D p# j8 n5 H4 L$ F% e" d: E
& }% Q# t; M) O2 bset trade-record-current []" [' E* Z% _/ S! F7 [; ^+ t0 t
set credibility-receive []
* G4 S. ^8 T% A# y* J, vset local-reputation 0.5+ l. G% d5 k: A6 D' \ v! C8 A
set neighbor-total 0( ^6 n; d) n* {8 {3 W$ K
set trade-times-total 0! J8 M5 r; P4 [* ?. ?
set trade-money-total 03 `3 i, b4 s* ? f5 e9 w5 [
set customer nobody
' G4 n+ u+ C ?7 h% n! [: ]! c% aset credibility-all n-values people [creat-credibility]3 G+ x! y* j3 Y! a
set credibility n-values people [-1]. D& X0 @% s8 Q9 h
get-color( e. U0 K: p! T# b. |7 D
! l% \2 s1 X& t# [2 P
end- d! s% V4 B5 D3 _. U! S6 x: E/ P
; Q& d# `. g9 E; K
to-report creat-credibility
5 ]" e/ d" O7 ^) y* zreport n-values people [0.5]
% O, f' P9 ^8 \- n" M3 R0 vend" E8 d* Y3 p2 \9 S
- m: {* f! G& j& rto setup-plots1 k6 n! h# K7 K+ L' x, W
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set xmax 30
1 [4 \% D( [0 c6 |. ~/ r
( M) X3 V( {' R* X8 T$ [set ymax 1.0
# l' o/ ~1 x$ v
- y( S9 K4 I/ a" Aclear-all-plots: i, K! H" Q c* b5 c
- E7 O4 D k/ B
setup-plot1
% h7 I" I. }) A
. [$ b! J& ]8 Z' l$ U& u" k8 Gsetup-plot2
" o, r& L0 k$ t: y5 e0 X! O' v
) E. F0 K+ B0 e& W% @' nsetup-plot3
/ B! W9 T+ Q( D) t' Kend
' w4 S3 _2 i- ?! ^+ e
! X% Y3 b: B; w7 N( R6 Z& ^5 g;;run time procedures
* ]6 H; Y. a1 [- N. [& r
- a1 D5 J" _1 [; N; Z, g" [9 ?to go3 j; e* W! k3 S, u* ?% n! U9 E# v! i
/ H7 U9 P- X4 ?' j& q7 Qask turtles [do-business]& R7 d( ]& [- F5 X
end; A& o0 ?, d. L5 ^* P
, r6 V: y# z( e1 v+ {
to do-business ( V0 E* o* e( M! L B! Q' O
3 J% @( Y) ~1 j% X
2 c% d% b6 Q0 x3 D. t* p- x6 qrt random 360% [, ~) }) P5 L9 Z# {
/ l7 b4 c. e+ e, ?: F
fd 1
?( v2 ?' ~' v+ k
9 O+ B5 a+ j+ F5 u2 z$ h6 ^ifelse(other turtles-here != nobody)[! Z: J! `! E; t' R3 Y9 h; E
# e2 x8 y- E" M1 _set customer one-of other turtles-here
2 V# f, J* P* d. X. l# J
- H' d- D, t6 M8 n. S7 g7 x. O5 J;; set [customer] of customer myself
2 Q% T: q( u. T8 C( X
* w# W$ E# I$ o6 [- |# ^6 Tset [trade-record-one] of self item (([who] of customer) - 1)
$ S9 ~: I# ~+ d3 M+ {; S[trade-record-all]of self" V o/ S7 ]6 w
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
3 B7 Z9 w7 x1 ^/ N9 r( B7 C1 q1 y: c E3 C% Q3 d
set [trade-record-one] of customer item (([who] of self) - 1)& v9 q9 I* r; ~% {
[trade-record-all]of customer6 |4 `" V3 w7 `
0 M. G$ \* K, m; g( s: wset [trade-record-one-len] of self length [trade-record-one] of self) }7 J2 t- S& ?; [
4 f" G K$ W) z* u+ s$ ^set trade-record-current( list (timer) (random money-upper-limit))9 N$ k6 Y& s3 B* a* i6 {7 r' D
* V J9 a) Y5 E& ?0 y: m
ask self [do-trust]
" ]& [; {- e0 @2 k( U;;先求i对j的信任度$ r3 J+ v9 n) O7 B0 z: _
7 t, P& i4 S: a, `2 C7 u3 kif ([trust-ok] of self)
& H2 q7 c& u8 z5 b;;根据i对j的信任度来决定是否与j进行交易[/ f3 o* T+ N5 k
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself x( o8 z9 y; `. P0 J7 E) g
( B' ~' V' \$ s5 j
[
7 B- F( O0 X1 c% a% K. a% |# h9 F( k
do-trade7 `9 \, Q. x: [. B8 X1 R1 Z
- L: {# c8 v& a
update-credibility-ijl6 C( ]/ n/ d+ B1 v0 b- n9 y% s. ^
0 U0 R8 _5 m9 m) x2 Bupdate-credibility-list
* k- J" j0 Q6 i% x1 O% k) i- n2 e+ p; p- M, V
# A( O1 j& {; l$ Z8 O9 a) p
update-global-reputation-list- B2 [; o$ ]3 q4 k. J' `) r B. V9 k
/ Q6 l/ j! l1 ?" F9 b* H) A9 kpoll-class) U6 C/ A! [5 o# S f5 k
6 X: e. {2 F) W( z$ U! I& B
get-color
. v% Q, d# T k( h& `0 `' C! }* O# E# t0 l+ Y% n; V) D$ z) S
]]0 Y- i1 b( M- `
( L+ q# G P/ M/ y3 r+ a' q. j;;如果所得的信任度满足条件,则进行交易8 O% {1 H" \, @, M1 `6 z
' w9 ^. d+ ?! C9 t; ?- h; r3 l
[/ n; f$ ~/ Y+ {9 z" j2 R: }; B
9 e- J: \ K+ X9 {7 |rt random 3602 L0 q/ s: w2 i, a5 T. H
* c/ }) Z- L3 I, _* Q5 j& |. K
fd 1
$ K& q, s$ P! K5 b
9 W5 g! h4 ?0 @' P0 M2 j' W, d]
9 y, y, W1 r1 c5 q+ K* x
8 g9 j8 y+ s3 h/ c1 t/ S2 eend
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to do-trust * B+ \5 @, _9 r
set trust-ok False
+ r9 n6 _) q2 a0 t3 D" i o L% b( L$ H) c
6 v0 b1 R7 \' q+ P, S
let max-trade-times 0+ N1 `$ n/ \$ q5 J m3 ~! a
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]], F) g( M. ~- u3 ? j& @9 `+ r6 ^
let max-trade-money 0
; ~. T/ F) b9 n9 Z/ `' oforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]4 G; ?) h8 O6 n! \9 x* A
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
6 n9 d \, i/ \4 I) e
" P) z2 G& X( R+ z. C. w- r. d- E9 Q8 l" H9 w
get-global-proportion
/ i) i+ T4 W0 Q8 L) y9 Slet trust-value2 r! x: A1 o/ b# R- z
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)
/ X; ^7 h$ R' D, g( b! Fif(trust-value > trade-trust-value)6 C0 e- y1 q9 ~$ y! E. S. F0 b
[set trust-ok true]1 G8 Z4 R: X4 V
end+ D+ x6 |9 t* G/ @& _* N
0 ?8 @' H5 W! b; a: s' P
to get-global-proportion
+ r, H- f4 D! r% X3 W. u: sifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)- R, a# C1 P5 ^
[set global-proportion 0]
6 H9 b% X$ Z: l1 X! T[let i 0/ Y3 i& X# o- e
let sum-money 0$ |6 k+ G( ]/ e7 J+ ~; e3 F
while[ i < people]- b2 \# h8 r% `: [7 W: s
[
% ?' [$ n$ K5 J! |3 ?; \if( length (item i* `* N. N- x1 m' M. B/ U
[trade-record-all] of customer) > 3 ). }% ] u2 p+ v9 c3 l
[/ L% U% x, N' q1 S
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
+ w8 f; `2 U; _' {( |]
3 k, {( Z* \1 H]
' }4 V5 I- c ~2 l0 x4 k1 Vlet j 03 `+ m9 @( ]0 I% F2 \' `& M1 ]
let note 01 V+ m/ X) |8 |. A7 D, {
while[ j < people]0 [' m' `+ `- a/ l5 A. r# H0 n
[0 w: W8 {7 {1 Y. E
if( length (item i
2 L U) `! y _[trade-record-all] of customer) > 3 )9 _/ ?) M! {% n7 Z( q% y4 c
[' P# T9 x) e; E1 A9 Z9 d5 z
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)2 @ i+ [: r. S/ ^8 { D) I
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]! l7 [' t; O3 Z3 |9 B
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
! C/ X& @: q6 g8 ], C) S]
- H; a2 e+ n z, M3 N]& c, j6 |4 ] n# y" Y _4 R0 x7 @
set global-proportion note
3 Q& O. `, b' l6 p J+ v" u]: h4 z6 m0 ]( T
end
9 B# l- {3 Q' ?) n8 ~7 m( [0 w, N" s$ h
to do-trade' r2 L O, j6 @ f% F, I# g- E
;;这个过程实际上是给双方作出评价的过程
; r# l1 D. l4 {& i' oset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
3 q t/ I* |; _! T# Z0 kset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价0 o" W* H1 t& q' z
set trade-record-current lput(timer) trade-record-current4 O% s* L) i4 A7 |# t2 T- k4 S% s
;;评价时间
" Z$ e1 D: X! qask myself [
; s6 h! u z0 P2 W9 E$ R4 Supdate-local-reputation" n, u" m. e3 f! E: A/ O8 N0 R
set trade-record-current lput([local-reputation] of myself) trade-record-current0 p5 H% v. I. K1 I6 _
]
- @: Z5 ^/ o) T# r- Fset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
7 T; B& _- v% R# z! b0 K;;将此次交易的记录加入到trade-record-one中
; S$ v" C W" Q) ?1 A- fset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
4 e2 C5 |% R Y( s, Elet note (item 2 trade-record-current )8 j) p9 _, _+ A
set trade-record-current
* |8 ^; t i. M1 v/ n(replace-item 2 trade-record-current (item 3 trade-record-current))
# {2 K: y/ o9 J1 ?6 i8 eset trade-record-current* G: N7 U- l& z' v8 x
(replace-item 3 trade-record-current note)
c/ {1 S7 S/ D. e+ Q/ s. ?) e" j* l5 l! t4 ?
- F' n% z; K, k0 L* k, ~5 n- |9 Lask customer [* B5 E9 p* W- a6 N8 v& J& \: G% A
update-local-reputation) y. Y3 p* A5 O& t+ h$ |6 Z s
set trade-record-current% x/ }5 e, v# r
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) 2 s) \. C2 D* N& R1 y" }
]# D4 H' I0 r1 O0 K. o
3 b; B) B3 R6 P5 T0 _7 n. w/ s8 z6 G
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
2 ~1 k6 A7 }0 a k" z3 n9 Y8 h1 j$ k! d8 L
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))5 F H" a5 q, E' O! `9 k3 F
;;将此次交易的记录加入到customer的trade-record-all中
G* L5 S! @2 `end
# B# D# U3 g- Y# _" w! q" x( @- T. Y5 n
to update-local-reputation; ^, X H( _: a
set [trade-record-one-len] of myself length [trade-record-one] of myself
3 v8 s- _" x) d% H/ G
2 z% U9 y5 U+ ~) n [; ]/ H9 x% `. [0 E& `2 q: b. V$ e
;;if [trade-record-one-len] of myself > 3
& h8 q" ^4 r; Supdate-neighbor-total
- A4 X3 x, B8 m2 s( ?4 t* ~2 l4 b;;更新邻居节点的数目,在此进行. ]# m- N! _4 v/ L$ r. Q, R( j
let i 3" u0 Q' H( x* ^
let sum-time 0 s7 Z( L7 W0 O: k+ u- B) A. ^
while[i < [trade-record-one-len] of myself]
]1 P' ~3 V u: l+ p" q[
/ k. R5 ^' K1 Z! X; [ D1 hset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )5 o0 f2 a+ w( D3 c3 U* Y6 ^" {0 E
set i: j7 ^% [5 V2 n |) W- O8 B
( i + 1), ?3 n. B& g7 C0 w. r/ M( E# V
]
. d& M- D) M# P* I7 Klet j 3; [. e' q& }# W) z5 h, H
let sum-money 0
; L# G. k, S( B1 ?. Bwhile[j < [trade-record-one-len] of myself]. s$ \1 T' U! z+ u4 g" O' q/ W
[
& l; Z" u3 z9 c) o7 Iset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
/ z' U R5 H$ x$ I/ C" j2 Tset j
H7 R# ]$ H8 F1 e _( j + 1)7 j' a* @5 ?. L! g, V8 b' [
]
b' `9 O# U. K$ \4 }let k 3- q" J: @% w; [; T4 @
let power 0
. e2 T ~1 P: m+ ?& Plet local 0
) _# k6 q3 @% ~3 N' {! mwhile [k <[trade-record-one-len] of myself]
9 I' ~3 p3 M7 C2 K7 {9 _9 ?7 o+ C[9 H9 e; E% n9 h9 U0 }
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) 5 e8 f/ r- d$ O% P7 \
set k (k + 1)
& f1 n9 V4 r& o2 u0 h3 Q+ F( b]# x) a- K% i9 H. Z
set [local-reputation] of myself (local)# N7 C, E) a/ O! T) u
end
; I# l: p4 W) d( S/ d/ T! Q9 x, b5 V8 j, m# L. W+ D
to update-neighbor-total
8 @3 V: O+ u0 S- E
. _+ K4 X1 _6 d0 ^% t( H% Wif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
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( c( L' F V: X# h, eend, H" Q% C& d! O3 d$ V! s
$ {0 z$ I9 Z4 w( H$ p
to update-credibility-ijl ( i' c; P( z2 b3 {. y- b
" q/ N$ u z( l2 [9 V' L' p;;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。, V8 E; X7 m/ ]0 b: `
let l 0, I& a1 E' K+ T3 Y' C- N4 `4 e
while[ l < people ]6 `3 [2 z" G: F3 P$ T/ {: m
;;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
8 F* q2 V# G" s. X" _[1 B9 O H2 O4 T4 }# ]! J- r; m
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)0 j# @9 ?/ x& r W8 W. K/ K
if (trade-record-one-j-l-len > 3)" k; k1 H4 t5 {3 o/ h% r9 y ?2 n
[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
. n% u9 {, ^6 v1 a2 olet i 34 q- [$ G R# L- [6 R, X
let sum-time 0
% t& |4 ` k$ c+ M8 Jwhile[i < trade-record-one-len]
: X7 B! |) s$ n1 N0 Z[- s* d' O3 R/ {/ O4 F1 l& {
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) ), e: A, V( I. X
set i0 }# ?! y0 I2 o, O! a9 A
( i + 1)
6 F- G0 e5 R, o* _]
3 T2 r9 {) A, elet credibility-i-j-l 0
" [$ w' [7 @% ]7 _;;i评价(j对jl的评价)" g7 M" Q# x) C' z
let j 3( F( w- E' @% I) H; K6 C5 i
let k 4
I5 ?, w3 o6 Xwhile[j < trade-record-one-len]
* ^* z$ n* n9 _) Z) ?[
. K" X( G9 F5 a0 Nwhile [((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1 Z7 x) E5 S7 x+ ]% p) ?
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)
$ Z) [1 L, @. S4 ^set j
* m$ z) Z1 \; |' b( j + 1)/ o6 d2 q' f$ _
]
' r" V" ~0 G2 Hset [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 )): b" k; N1 }$ w) }
" g+ d+ G) w- n# }5 N2 X1 i3 X
1 R o9 ~- F" n: e, h3 q, y2 M
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
3 U$ Q0 v, W9 h/ `7 h: i;;及时更新i对l的评价质量的评价
& @ T. D: ^/ \+ v9 Q/ dset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
4 I# h1 H$ E' R5 ] E+ Fset l (l + 1)
1 b3 U: p4 ]6 ^]
# P" t4 q6 D- ^2 m' }1 P: _end, F* J5 H' E9 b- L+ T& v. j: S, }, E
" g2 c4 ~/ V& `- q/ \0 |
to update-credibility-list
% ] ~& w9 Q' B1 L( clet i 0" d# A# C3 s% k6 |5 u6 e6 O
while[i < people]
+ W1 A2 F+ T! A( L" w! x3 t2 I[
* p. E% R& T! o& U. _let j 0
# x$ ?0 i$ U" i2 v- J1 qlet note 0
- E: z: j2 y/ Y7 k9 g# Ylet k 07 j; F8 d' ~4 A/ [# h
;;计作出过评价的邻居节点的数目
; ?6 A* K6 n" H7 ~while[j < people]
?+ Q+ u' I# V[
$ k. E2 y$ r0 X' _8 ~if (item j( [credibility] of turtle (i + 1)) != -1)$ R, u5 c9 u* C( c) P0 g+ Q
;;判断是否给本turtle的评价质量做出过评价的节点
; W, s3 k) P! w. Z[set note (note + item j ([credibility]of turtle (i + 1))): O4 x* S8 `/ B
;;*(exp (-(people - 2)))/(people - 2))]
( g7 ^" n. M L {' f- m! d0 eset k (k + 1)
, V" d ^# D3 ~# i# d]; n3 m' S9 t$ }$ ?6 }
set j (j + 1)3 ]$ G9 u& x+ N3 {
]
/ K. P+ l. Q# A5 kset note (note *(exp (- (1 / k)))/ k)
0 B! s* x2 n' C6 e, l4 l( }set credibility-list (replace-item i credibility-list note)3 u. Y1 u U* u+ I. B" t
set i (i + 1)
: F) K% @' L" }]* u; a O! K( |/ w+ y
end! [9 L. V k$ k9 |5 x
% X7 W, d& u H7 g; o
to update-global-reputation-list0 g; Q4 v' g0 y
let j 0
$ u+ @% P. I+ Vwhile[j < people]5 i, _4 t: e2 ?! Q b* N- r
[
0 M7 ]; r0 @+ b. u. ]# e- x( [let new 0! J" ]8 C3 Y0 X$ j5 V; A
;;暂存新的一个全局声誉9 n" J: |. t5 j( Y
let i 0
4 D$ B$ z& ]1 Y( t! }6 J4 Qlet sum-money 04 i7 N# U- l. @ Y
let credibility-money 0# K- q7 ]4 @- j/ ?, I8 J
while [i < people]% ?7 @& l1 D2 V9 E+ Q
[
8 {& k: m3 {: Z9 ^/ A& }set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
: n: G" t, H! K/ X h$ L3 Rset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
/ A1 G5 O- ~* l: ^7 h3 x, p& F0 hset i (i + 1). y6 @, O9 U0 N0 ]
]# b- O! p0 ^1 c% w+ a) _ \
let k 0; V5 ^' _! s w' S! ^
let new1 0' B0 c& m' K' K
while [k < people]' t; I- s) c4 [2 E! S. l
[
" ~* s8 k" x9 a: f# e0 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)$ U/ o" z* M( Q8 g
set k (k + 1)
1 W% i& T4 N6 e6 j8 j]. ]. s2 a' z* r4 Z
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) 1 }# T9 o: s( s+ S- k' R* n' v: _( j
set global-reputation-list (replace-item j global-reputation-list new)
1 v* R. j1 Y* P$ J% |. Z# |2 Yset j (j + 1)/ s, [# K! q! z! ]7 _
]7 E2 E* ~$ E( F/ U$ t! F* W
end
9 ?/ ]0 x- R$ ?5 P9 M+ T3 H" z* V2 m. G' Z# X) O4 i
3 V" o k7 Z+ J; p
8 K6 u5 R/ L9 Fto get-color
( X+ U0 ~5 S% G! n+ A- |1 e2 i3 @( `$ Q' h" _+ ^* G$ U
set color blue- W5 P/ A1 v& T, X
end) M# ]" p" [0 S
! u7 f: Y' d1 d/ E( \5 Bto poll-class
% |/ _$ f$ U% e4 u( m1 O: S2 fend. q% k2 t: G6 j; S' b, Q
7 I# c9 K$ y, b. s0 A+ }5 i% o
to setup-plot1
" B) G: m$ L( {# ]3 A) z
+ O0 N4 i. d) B8 v4 b9 Y' v/ {set-current-plot "Trends-of-Local-reputation"& o7 z2 ]) A" K; j7 u' f
0 X1 n- U) L4 A! O/ O4 `( F3 @8 Vset-plot-x-range 0 xmax
9 k5 d1 j/ k3 u. N4 _3 J
& P6 p) a# ^# N. n' T& p% M7 rset-plot-y-range 0.0 ymax, U& L/ t0 l; T: V
end" w! s4 e- l" C" x5 ~
& A) q Q# j1 L% wto setup-plot24 I$ _$ |6 F/ }. A. p
1 |% [7 U6 f* k
set-current-plot "Trends-of-global-reputation"
3 X9 c# C7 l, s( i+ X9 X: N* D% ?7 P" J& Z; s
set-plot-x-range 0 xmax" k) k/ Q, R1 A* _% o
p+ \3 t- S8 E% Uset-plot-y-range 0.0 ymax t1 J; P6 T. r& g
end
; K% c; e3 u# J: W* H+ Q* }/ p/ ^0 X+ C
to setup-plot3
+ [7 v+ ]% K5 t5 V# Y0 p8 p! A
# u4 W$ c! T0 v2 y7 w Y, W5 yset-current-plot "Trends-of-credibility"
8 m8 E. l* B1 q) j! K y( T; P$ p2 U/ E' B V
set-plot-x-range 0 xmax2 R- x: h8 O( R$ ~4 e3 z
+ D' u2 }' ^% W5 bset-plot-y-range 0.0 ymax4 c6 | w, b0 [5 d1 n% z# d
end
' z W9 z) a. F+ k& q) v
8 o1 N$ i7 L$ b6 r. [8 vto do-plots
& R( E3 F2 I, l0 Cset-current-plot "Trends-of-Local-reputation"
+ y4 }3 v' z# D5 ^$ Iset-current-plot-pen "Honest service"( W3 }# Z8 `; i1 @
end
) b5 U; m+ q( y& o
3 q5 B+ m# P( q% @! L9 d* v[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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