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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2 F/ q/ F% }8 b* H% q
globals[
! g, ~- L+ d; E7 R5 M. Mxmax
1 n2 O4 B6 g1 }9 `4 i% tymax
$ I3 o, G) U& n2 Y! T/ Dglobal-reputation-list
; q4 _8 j. U# Z" y( A7 z3 G' I! H' L) E. p6 J$ W7 t, Z2 P/ h
;;每一个turtle的全局声誉都存在此LIST中
, @3 v1 |3 h: k+ ~7 Hcredibility-list; {0 `4 w; x: Q$ W6 Y' O- P- j
;;每一个turtle的评价可信度+ Y" w) y. |5 j4 \
honest-service8 I4 r$ U- {3 [
unhonest-service
4 _( _0 s# V4 y& a1 doscillation+ u9 f5 p5 N0 z L1 _
rand-dynamic
5 s% |( p" Z; u% a; g M]
7 d; g T9 Z8 `" O* g4 f
3 |: @5 f- J9 j3 p" }1 Mturtles-own[& n8 J. I% ^: @& n" }: `! d
trade-record-all
! c# ?- L6 J! S- Q2 Y8 X# s;;a list of lists,由trade-record-one组成8 e, Q. O7 _: ]" N: p
trade-record-one
% S f- V& ?/ j;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录6 Q* q4 J6 v5 u2 ?
5 Q& l0 {$ S7 c3 K8 X2 ] ^ 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]]* q# k0 n0 m( u: f
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]& Z. D0 T m2 r( ^5 M) `+ G% V9 p4 o
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
; M* H7 D' p: ?; Q( d0 Yneighbor-total1 s. V# }7 x' t* B0 `, N7 ~; l$ W
;;记录该turtle的邻居节点的数目6 }4 o9 J5 F! ^
trade-time8 x, D6 n1 @8 G3 L5 \2 A
;;当前发生交易的turtle的交易时间/ G% w# J9 m, {7 c
appraise-give
. b2 }; A3 f% n* `& z;;当前发生交易时给出的评价, _$ q" b3 P, a8 j/ P8 [* O
appraise-receive2 ^2 X/ N7 Q4 p
;;当前发生交易时收到的评价
3 y N; V4 E5 S; Jappraise-time7 |& s3 I! Z. R- h7 u1 B1 E5 F
;;当前发生交易时的评价时间
1 e' s% ?; f; T5 X2 ulocal-reputation-now;;此次交易后相对于对方turtle的局部声誉6 N5 ?& Y0 u$ k. \( Z. T
trade-times-total. ~" V) A7 z- h1 c) U5 V( ]
;;与当前turtle的交易总次数
* b* q: E& M9 K. e' F& H4 Ptrade-money-total N+ J6 ^' \: `1 k6 r! T
;;与当前turtle的交易总金额1 R+ p: N$ |7 u& @: B8 w0 H6 f' V
local-reputation
9 T# \# }( v5 }& cglobal-reputation
5 M% g1 z h1 J$ p. Pcredibility
! E/ y* L2 ?( I; b;;评价可信度,每次交易后都需要更新
8 y4 Z; G: v( D! ]" @4 {. o% Qcredibility-all
1 U" K; L. A3 H' v: a& k" B+ D;;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2 j7 ~: [' W. [2 ^0 ?2 A
* `- e$ Z. ?2 R0 w( x8 n
;;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' V9 l& A) i* }- w: K- b6 M/ G! O
credibility-one
9 e% P. @& B. E C8 _+ K;;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% {1 |. s" r; D) d
global-proportion& o; U$ x/ ^# J
customer
0 E6 @+ D! O4 ]$ X+ i) A- @. [customer-no
& i$ Z) z8 W, Z; l+ \* gtrust-ok
0 [. g8 c- Y0 G' _( ?trade-record-one-len;;trade-record-one的长度
+ f3 N7 @! [' x; M" A& e+ y]' ^$ _) }0 |* N, @/ w7 P
( W8 ?( I9 ~! V1 u;;setup procedure
0 R( d; {6 ^" a- X& ?' y! |& \
# y7 |& C0 D# @$ c+ b0 j) vto setup0 {" [6 Q* q% t. u% L
9 E( u) x6 ~- S, _( A- U; r% F
ca7 {+ f" p* K! @* `7 {& R
7 w8 u- l' T: P
initialize-settings
6 P& \4 l, |6 ^2 A3 m z o) p7 ?; t9 c
crt people [setup-turtles]
2 h8 c9 P3 i/ h P6 _5 O' ?% N4 |" _
reset-timer
k! X/ i0 b0 |% D; ?- I+ \0 G% R9 @( Z3 c3 q% ~6 j
poll-class' j a: c- h T) \ Q# ~- _ g
' Y; s; Q4 P& _3 ~
setup-plots
' Z7 K' A5 ~) m2 _" M
8 [* h' s8 P0 g( m! Q* ydo-plots
' M8 A& g$ x: J6 Tend
4 X2 l/ e" `! }+ `2 j( r o
; R3 V/ e: I* j2 zto initialize-settings g5 p, s8 d. i# U& N/ s+ F. c
6 \/ c, E4 H/ Q9 p" P2 ?4 {' P) cset global-reputation-list []$ E' E& q1 A3 g
1 n- ^. }/ v) r+ k- k5 mset credibility-list n-values people [0.5]8 e7 [0 u( O1 V" g9 J$ R& Y% J8 d
. R# m& U) Z4 J" X8 R: h4 ]& d
set honest-service 0
0 A, N6 N$ C8 \/ c) U7 r6 W2 w! `! f+ F! z. f4 D
set unhonest-service 09 @" \! E8 N @ h6 v. M. S
. e2 q9 M+ c+ n0 S% o$ ^
set oscillation 0
0 q* T$ l! K$ `* ^4 z; B5 l5 p. y, \ J: ^5 G% V3 b6 J
set rand-dynamic 0
g' X2 q5 D& Z1 | M5 o rend
7 U9 D/ s+ I' O9 `0 D; t% v O% t' f3 f0 k7 t# N$ F
to setup-turtles 3 j" T8 }' }5 x: |3 b& S9 }) L5 Y
set shape "person"( Y3 D0 R" k; p' m- r# |% n
setxy random-xcor random-ycor
8 Z2 A: J2 Z0 ]- p: B0 ?$ y8 mset trade-record-one []' g# F0 G$ Y( I
! w. l z& Y8 \3 W- Y6 j
set trade-record-all n-values people [(list (? + 1) 0 0)] , z: Z$ W' S" p& t/ I# B( u$ ?' z# \
6 |: ^$ R; D; L+ zset trade-record-current []
& e0 Y6 J+ h% \( gset credibility-receive []: _4 p3 F, \4 E- S5 F
set local-reputation 0.5( F8 V5 ~# L0 w2 ?" _( ]4 o
set neighbor-total 0$ ]- H9 L- m+ ]; O2 I3 L3 B( w
set trade-times-total 06 |+ f6 d/ ^8 T8 T+ f
set trade-money-total 0
c% _/ H& M9 _- v0 _8 g9 u% Eset customer nobody! L+ g7 g8 N. H6 c. [; J3 @
set credibility-all n-values people [creat-credibility]; S" [0 e% w4 a" @$ p! u
set credibility n-values people [-1]4 R; k4 `1 ~+ B/ [2 u
get-color" n1 L5 B% Z2 f
4 F% L) B& ]; P( u8 a. K: G" x
end+ h% r2 ]1 _+ V5 ^# h B
5 X) z* J0 C( Q2 z* a S1 U
to-report creat-credibility B9 ]- k7 y: h3 A% v
report n-values people [0.5]
& q r9 ]; x) [5 h* q" Kend4 `7 U$ M+ R& x
; p: j- o+ n0 C' E) q5 s, Mto setup-plots
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set xmax 30
( b0 n$ a3 _1 T4 A" z
4 l/ _/ Q/ v9 ~6 y7 h d. sset ymax 1.0
* t N; R# j1 u: O2 ]! W0 \( o c- Y: F0 {3 _
clear-all-plots
( P8 F0 X# @4 W: n1 H2 W* ~" h/ V p3 n4 h7 X1 y- F, ?
setup-plot1
# ]/ d! s: _1 ?' b1 W* x a
' p" i1 x$ r4 S) z d) bsetup-plot2
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setup-plot3
0 p0 R! }/ @$ e( E" @2 r8 Vend
) Z# k" E1 W9 o. z0 u
. x+ |. f2 `8 ]7 g$ e% w- _ n;;run time procedures O- }: u; w. J
! C( u7 w, P) |, b/ M% dto go
& \/ e, g! a |# s& p y9 T9 G% N2 c4 ~( U1 `. k! j9 D
ask turtles [do-business]9 j, ~1 `( ^( T& X" D; T, [7 x( M
end
: }: M; Y. {2 C( j2 _+ ~: r0 @- b
to do-business * I4 k1 ?% ] [+ D R3 e1 Q5 {
* @$ v( U; R& Q! S t# h9 |- i% U, o& Y" m; x0 ]3 p' ] J9 s/ M* E. ~
rt random 360
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fd 1: n- r) o" c/ N0 ]
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ifelse(other turtles-here != nobody)[/ d+ m& A7 P5 d
/ h c7 Z; P2 n' M9 r8 J
set customer one-of other turtles-here
7 G' O1 a% Z, z
7 C) ]3 ~( A+ B4 k; e;; set [customer] of customer myself
7 E4 t! x; z& b0 F
# e- n3 O! \$ F# ~( Eset [trade-record-one] of self item (([who] of customer) - 1)
0 J4 u- Z4 \7 {" ]3 \9 Z[trade-record-all]of self
7 \/ ^2 `! b$ o' Z5 G# r;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
; Q2 W( r$ d5 z' Z( H5 W2 X) G2 f& \9 I8 F1 R d- m' _- l4 U$ {# ^
set [trade-record-one] of customer item (([who] of self) - 1)
2 o9 t; P$ r/ W; S[trade-record-all]of customer
/ Q1 x" Y& \+ [6 o/ i( X T" N- b- v* f3 [6 s3 H! H3 v; }
set [trade-record-one-len] of self length [trade-record-one] of self
: ]% K$ ` G# r9 L) `7 ~, V2 j4 p" T2 w: O+ s" u6 Z/ |0 F
set trade-record-current( list (timer) (random money-upper-limit))3 q- H3 {$ [3 D4 U" W
! e' P& ]4 [+ p! i2 V
ask self [do-trust]( b; R9 o7 |, h$ \ g( [
;;先求i对j的信任度" z8 ]/ h+ Q1 \$ y/ j; T# W
. M0 a( M& s, b* G$ U; D5 b
if ([trust-ok] of self)
3 Q1 ?2 i4 e. a9 z( O k4 x3 ~0 c;;根据i对j的信任度来决定是否与j进行交易[$ v c; D9 q# v
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself* y2 V* s: D6 ~
( L6 |7 y" r% S/ z/ P: l
[
# R: ]6 s( V R) @$ F. f# \, T7 W! `3 d6 `
do-trade
5 ~! U6 l; T: A# o9 E
+ `* n( M. l$ u6 U# Mupdate-credibility-ijl
2 t4 ^$ M( ~) q* [- p& r) c; l) M4 o2 _0 Z/ S
update-credibility-list
$ a- A2 O- r% C: g, j8 O
/ E6 J# M$ J) x5 l6 A$ c# O1 P; Q- M: M2 d1 S8 g. ]' b
update-global-reputation-list" f* t5 R! q: a' {
6 h4 j- b# M- v4 ~' y7 ?
poll-class
4 h/ H; v Z9 C" }2 |2 z/ h* |+ w; y$ q, J' S
get-color% [9 u7 W& g9 U2 u# T# V& D
2 j: w' ^: {: y+ n: I
]]
5 U7 N4 a, B U. C( Y8 K
! l/ d" `: H V3 b) J4 W% j1 F;;如果所得的信任度满足条件,则进行交易
6 `! }2 z. ?) Y
/ x1 E2 G# r* k t: r[
2 X, u& W( z* D s9 u/ B& X5 u$ m& T' P7 d% t2 X" P7 `4 B2 Q) p
rt random 360
' Z& s8 p; D- t8 `: H% e8 B0 K% w/ |5 r( @
fd 11 r8 J! P2 Z2 y+ I
6 S A5 k( F, k& P]
! v( X* |5 @- B2 o0 V: r
: c! t2 [. @7 w, c" `7 `0 Gend
2 s8 |8 o, W' a* r4 H* F5 k; y$ O o( J
to do-trust 1 G/ |3 }0 k: W+ C7 y
set trust-ok False
4 z N5 ~9 I( [" R( i1 c# p
6 V! p) I& ?! Z" V. V$ c: o3 r9 Q' j
: ]; V8 }" F" f6 Y6 h% |let max-trade-times 0
% N' D' p' g$ I: o- gforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]1 G6 m+ T9 W$ p! X; j8 d
let max-trade-money 0
3 s( B T9 g- j/ iforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]- g2 Y6 @' e" |6 m 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)): K- u+ J- i" c
c/ E' z) M" x1 g! i
5 i2 K- s0 C+ Y! I
get-global-proportion
* H" p+ ^9 V4 I# @! R3 x0 r- D2 |let trust-value
; Z* q, f* M* p) |0 S! g( Slocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)6 W+ d9 ?9 D$ O R6 U
if(trust-value > trade-trust-value), Q: d; [4 ~; L0 H) E. P- {# H
[set trust-ok true]+ g3 U7 ?$ G6 X! @8 p/ w( R" A% Y
end
& o0 L) ^- g# k0 K: l0 P! I: i8 {
' C$ Z9 K* i: m; `' hto get-global-proportion- ~/ u2 y5 n* G$ b U' R4 i
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
* i# Y2 k; N/ K7 J( Y& H* O[set global-proportion 0]/ U5 P) @" J! }. T, N
[let i 09 S( i+ n! b- S/ Z9 H2 [
let sum-money 0
5 Z* u E8 L* W$ y8 [while[ i < people]
! a: N8 A; |" E) }$ o5 z$ Z& I6 j[
; T' P8 f" e+ Q2 R- r8 `if( length (item i! R* f+ D" j" A$ {- C( \5 \* ?
[trade-record-all] of customer) > 3 )
" d; ^% d: {/ d! E: y# W[
, B& q9 P8 @3 D: Zset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
; @" ~; A; |. ]) E]
" d m7 B$ k* G* ^+ ]* l]! ^% h: \6 `8 c
let j 0
/ }' S6 Q" w8 v2 K# B: u% y3 {3 slet note 0
$ }& J# N( u r# F' _while[ j < people]* \' M( W: S; t/ o/ w4 j
[
- u5 g3 \* I8 |) r% c- _" B$ Mif( length (item i: n/ G7 Z; z1 O2 y: V
[trade-record-all] of customer) > 3 )8 z0 w% ]3 ~! c- i: p
[9 {7 A& n0 x3 U! ?1 x5 `8 i$ |3 W
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
* _- J- [8 z& |/ a! Q5 X8 U0 S[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]$ y5 i1 H3 i. r/ Y
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]+ C1 s) q: {( c4 _ T; L
]$ P' R" g+ F1 J
]
6 z f/ l. R: W/ p6 Dset global-proportion note6 K8 C' a! B6 r7 U
]
# q; S& P( I) F2 C8 iend
# C! Y A4 {0 Z& `( m) i
5 F# F" X2 t5 }: ?5 H# wto do-trade
: ]% P+ @7 t6 ]0 Q" b- d, f, B4 f;;这个过程实际上是给双方作出评价的过程. W0 @7 t/ G/ _. e$ j$ _3 b
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
8 h- K; D1 g8 {6 m, n: Sset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
1 z' H6 R0 P3 V; bset trade-record-current lput(timer) trade-record-current
+ t, H$ B- l* \# D$ u( t7 j;;评价时间
& G9 w4 v0 L! f3 _. V8 mask myself [0 l: D4 \5 T/ t
update-local-reputation
5 {8 T- L) _& r, r; N5 x' P5 H! e cset trade-record-current lput([local-reputation] of myself) trade-record-current" f* {* t$ }1 ^4 C1 W; P
]% H3 G+ x y }
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
' o, [# X5 W& l y8 ^;;将此次交易的记录加入到trade-record-one中: f3 N/ r# o+ R0 p9 c' ?
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
: }( _# n3 N: x- Q. Q( zlet note (item 2 trade-record-current )0 |( K9 d3 E# j* O
set trade-record-current/ f( I! E* D* A& z7 g, b# F! Y& ~
(replace-item 2 trade-record-current (item 3 trade-record-current))
3 Q$ H" j$ i/ F* a% ?7 ^' Gset trade-record-current
. Z% O; j% k) d7 z8 `: ]0 }$ H(replace-item 3 trade-record-current note)" V8 { a' N D. y/ \% p: h
! s# N2 _# t& a2 ~" L$ H: ^
$ g0 O% K; o K# o) S* ~3 ]
ask customer [3 n9 m5 u# s: ^2 U
update-local-reputation
7 I/ R% w# n$ c8 I' hset trade-record-current/ V, p, K5 j( B2 c4 y1 O
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) 8 J3 \' M- _: E s' u) n
]
" h( J8 l9 L/ E7 I* e' T" p$ Y$ Y# \) B+ [2 t* J* Y
; t1 I# Y; u" ?3 xset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
. E* t" j% f/ R5 b. Q( d9 r/ E% z* O- B
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
9 @' ]0 c$ x. g* E' n" {+ d;;将此次交易的记录加入到customer的trade-record-all中
0 e D, G e- h9 v k: J: i0 aend
# F$ g, P& [6 f: G. M" E& U1 c2 f& U7 d3 \! u: u4 i
to update-local-reputation
* _3 k* v s! j$ k) Aset [trade-record-one-len] of myself length [trade-record-one] of myself7 a3 Y: s/ k7 `. z% j9 ^
) E# g* K1 \" M6 c# k0 t& U" J8 c( Y
;;if [trade-record-one-len] of myself > 3 % X v$ Y, s+ p6 `- s" f
update-neighbor-total
3 N; m* \3 e& q9 w) Z0 n( j8 G;;更新邻居节点的数目,在此进行3 X2 s0 i, |6 p
let i 3
3 S! W, A5 m, G5 y+ n) x8 D% l- clet sum-time 0/ R7 @, O0 p# V- Z
while[i < [trade-record-one-len] of myself]: P( H" _$ i* Z- c
[' ?% N3 _% @; `- V) H$ S: U$ Y
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
* X& C0 F9 z3 `) Oset i/ y; Z$ c/ q; c
( i + 1)
( m; b7 n8 H1 Z1 U9 G0 z], `1 f0 M8 n- T. q$ r
let j 3
( k4 W6 U; V( X1 ]- D+ }let sum-money 0
8 n& r# C8 e. k0 |while[j < [trade-record-one-len] of myself]- h q" Z8 ~, t3 u% h
[! g: Z- ?: |1 S
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)
x* G# I; ~; Oset j3 u2 d) D4 T5 ~ @7 Y1 d1 R4 F* _" V
( j + 1)
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let k 32 p) A, A, _1 b0 J+ H
let power 0+ k' r% Y) z. h5 Z
let local 0 J, F2 s7 Q# U% j
while [k <[trade-record-one-len] of myself]
. H2 }9 i! d+ n0 [* G[
& D+ |+ T( S t1 G \0 {9 M; |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) , L0 R1 e7 Q5 [ O/ s" z$ W- ^
set k (k + 1)6 H, o9 Y( F# I2 f4 g$ k
]2 g7 l/ B, |5 b
set [local-reputation] of myself (local)
; W3 V1 _6 h- d0 x5 r4 l. U! Vend
( `6 c2 [& H8 v8 |( d0 B3 B, b$ d8 ^0 S
to update-neighbor-total
$ |" j8 b) _2 v) D6 c) @3 M3 M9 l
1 y4 @( F( {5 I! k/ Q2 D2 Eif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
7 @( S8 G% R& f4 \9 _
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7 D; l, ~/ D/ O6 Eend3 B1 }7 v+ F" E& @
% {# u" h0 ^; E6 ~/ ^& a' H3 ^to update-credibility-ijl
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8 P0 U. u. [4 j' c7 E1 c( U, H" 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。
# f5 K9 v& N5 H2 `9 f. dlet l 0: x: _. W" _" g c
while[ l < people ]
6 Z4 D4 }+ X ~& d$ K* Y;;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5 _4 P9 b& u; U$ g1 g
[' Q1 I3 m$ X$ @6 Q. w
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
% b4 _1 H0 h# l. Q1 ^, p% Fif (trade-record-one-j-l-len > 3)6 f* d; _, c- G9 L
[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-one2 Y- Q7 x9 k+ J) \4 |3 j N1 i
let i 3& h/ u* u5 [* G! ^! P8 _0 N9 r% c
let sum-time 0
5 Z9 ]# X3 M. J( j0 `- [: t2 C* I7 ]while[i < trade-record-one-len]
( P. ~8 v4 Q. ]2 c8 {7 w4 y# G& t[
0 |/ K3 O! }9 J5 J# m: Pset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )$ e/ o( }& A J4 K
set i
* v3 {, t9 A; h+ Y9 r( i + 1); O6 t# `* E$ z1 @# e! d# V7 G
]' W6 D; {1 m6 u% }) ~) p$ a
let credibility-i-j-l 0( r1 P( e4 F d5 F: u' Y! @7 a
;;i评价(j对jl的评价)
1 T+ L5 G8 Q) \* K8 ^' Blet j 3
# K2 r: r* {# elet k 4( ] a/ V& U6 X* w2 t4 ?
while[j < trade-record-one-len]
) M: u' ~, l! p. z[7 b" g( _$ \( a6 @% ]* A; w
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# |6 D: Y2 V' E e. r( s& G: 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)
: d2 ^. _) s" v) Hset j
* S2 C0 P1 }8 c* l& i- B( j + 1)! H @ y/ [( g7 ]
]
' J9 M* G/ E- `set [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 ))% H9 ^; z9 M- E2 p0 V( o
1 x* n3 a' j0 |! U7 Y# Y
# J+ X6 j: j% y" Mlet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
4 P4 N$ }3 b0 x4 ]7 U) x+ {;;及时更新i对l的评价质量的评价6 Y' c7 g9 J* _/ w& F7 S5 q% G1 U$ ?
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]6 U! P/ w0 I$ C1 F
set l (l + 1)- g, k/ b7 l5 S7 I
]% ]( \# G5 r3 P* E' _: s9 A
end
! Q! F0 e( q5 T4 E7 J1 }. t9 A. X j' N
to update-credibility-list. V* ^) G* @! E" W V- `8 h
let i 0
* t, k" H G, \$ {( f4 O3 Pwhile[i < people]- l1 Z o; g4 D; a+ \
[
r I! F- n) x% `let j 0# x6 Y( c, s1 z' e5 w( G9 z
let note 0
: M% Y# g. S& q) E1 U! G) W/ B8 [let k 0
3 s! a" {# L0 d;;计作出过评价的邻居节点的数目
+ s! l( v, ~4 E s9 t& z0 v; T: Z' ~2 ]while[j < people]
! H: g7 b* w- ~+ P9 P3 u[, ~& A, n3 D9 j. G
if (item j( [credibility] of turtle (i + 1)) != -1)
& C; B- W6 @+ \# W% ~, h$ B;;判断是否给本turtle的评价质量做出过评价的节点# G0 g+ W- n- w8 F2 C
[set note (note + item j ([credibility]of turtle (i + 1)))
. k! c: N P/ d;;*(exp (-(people - 2)))/(people - 2))]
7 a7 {5 Y: V! H, P# Jset k (k + 1)
+ ]; L- G. C6 C1 x* z& I]
7 M5 p2 Q+ e7 g: G5 nset j (j + 1)& a( C- q. N- |$ z# T9 y
]
& N) a1 w9 N. i# jset note (note *(exp (- (1 / k)))/ k)
. W7 w# w, s/ vset credibility-list (replace-item i credibility-list note) z3 |* U1 M. ~) r+ x/ E+ Z
set i (i + 1)
* F0 ^( {; D2 z1 []
6 Z9 i4 f7 G5 e, J4 v5 T8 {4 l# |/ Uend3 \: _; @) R0 P) Y
6 ~0 K7 y. x' U! U9 T) \( R" V
to update-global-reputation-list
1 B% q, [5 R% J/ K7 U: ~let j 0- D5 s1 M* |9 P i+ @. V
while[j < people]% T- W# T5 _* j9 r U& w
[* X2 t, f& P9 V9 A
let new 0
3 z/ ?& |: X7 E* k;;暂存新的一个全局声誉* d* R. w5 d3 c
let i 0
, R; q( W; _$ R7 K# x5 ulet sum-money 0 l! h) c* K W: n) o$ X+ e
let credibility-money 0
) l4 }$ m1 R8 E: ^+ A2 p) Rwhile [i < people]
/ ^3 ]$ }0 n. b, v. ^9 U: h[
& {* l w9 k2 z! k* Eset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
, s9 l6 P- a" m( `7 X$ f0 {5 yset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))2 q8 O- }8 f: {* W' i+ P( l7 _# T2 i
set i (i + 1)
- [5 J0 h" L w# q. ?8 L* \]3 g. V' A8 [6 b: n5 |& s
let k 0! O, j" s. ?4 b4 Y3 g4 y
let new1 0
' \1 k5 S9 C: i$ K' ?* fwhile [k < people]" E8 G1 R2 B& l+ _+ F, p: c
[$ y- X% G* q. b3 ]7 t0 C
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)
( L- H9 I+ m7 `8 Nset k (k + 1)
4 o6 L- G1 { l], ^" q6 ]+ k+ T0 Q( N/ U9 F
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) # A3 I) c0 L! v; u. f
set global-reputation-list (replace-item j global-reputation-list new)" l" h p ~# X( U
set j (j + 1)% S2 F. S1 Q3 n( h/ ~
]9 u2 \. n z, D
end% I5 n: \3 z1 M* o5 z( O
) `0 T: {; d. \6 Q6 B( x5 C: B0 @0 Y, \
) E6 P. a" t" ^1 o1 |) h7 xto get-color
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set color blue, J( A# i' S1 s" r; T" B- i' {$ w
end% U i2 y. W1 ~6 \; n U
6 a: ~8 Y( v) V# ]2 G5 }1 I
to poll-class# j3 l2 d! F- y
end
+ d6 I; B* b. _1 m I. W- F9 }& `0 a5 ?$ D2 ~# R4 I
to setup-plot1
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set-current-plot "Trends-of-Local-reputation"
5 t, p' e! l- z' r* r& z% n/ R/ J
: t! G5 [% R3 i4 q( G. m! mset-plot-x-range 0 xmax
- R- T; r% o: U7 n# R6 S8 S
, @& ^7 t0 n1 B+ f* iset-plot-y-range 0.0 ymax
' A. m2 J- m- lend# q: X$ `7 E$ _# |+ b3 x
% s& d1 ]" Y, {; p1 p [, jto setup-plot2
6 I, F2 z5 t* O+ [7 `; F2 t0 B% f
% a5 t. v/ Q+ g% o$ o$ J5 aset-current-plot "Trends-of-global-reputation"
: r' t2 I$ G* k' M% U
# c% P9 N5 r9 I" W& \* \set-plot-x-range 0 xmax
$ k9 e/ s$ G0 ^" l) `5 q$ G* Z; ^! u$ J* u3 G* p7 Z
set-plot-y-range 0.0 ymax
, x5 U8 _: C t2 T: A0 ~5 S4 Zend
9 q; U$ L( p* w* X( J: a5 c `' g) y9 f' s( I
to setup-plot3: Z0 h5 {9 i/ v% d0 v5 {; B: y
- i) ]' ]' j7 F# Q
set-current-plot "Trends-of-credibility"7 f% a9 o' j D5 I4 x4 w4 x& a# |
: _4 E8 ^8 K3 |set-plot-x-range 0 xmax
I, q+ \. \. {$ N2 J0 l K2 R6 L: U* @
set-plot-y-range 0.0 ymax2 z. t I: X! z& E& F
end' T5 ]+ @" l4 V: n0 R9 x- W0 g& |
% D4 { I2 c8 T/ E' u
to do-plots
, `5 J. ?; b. Vset-current-plot "Trends-of-Local-reputation"
+ l+ c, c, @# bset-current-plot-pen "Honest service"6 [) _2 D% n' k N& V3 d
end& x/ P. m! N9 E2 K1 N
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[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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