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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# [3 Y8 Z! a& U7 r7 y ?
globals[6 X4 H5 T$ W0 S0 D: d, V
xmax" B, d3 ]1 \- O- y5 V# r
ymax
% d' F( R/ B# |" Gglobal-reputation-list4 z3 }' Z6 V# c' Y2 k# N
% N" k$ [/ B W;;每一个turtle的全局声誉都存在此LIST中3 C D9 `; t# V4 w, T. e# S
credibility-list% m0 Z- `5 L: `( z S+ H- p
;;每一个turtle的评价可信度. _. s: F; K) {/ w9 @% M
honest-service
8 ?3 v1 ~4 c% W5 x7 G( Munhonest-service- k7 c; D$ S" ^7 B2 M$ G: `( v
oscillation
+ C5 R0 E5 [% l$ i( u4 e; Xrand-dynamic5 i% c0 O8 L) ?
]
5 G; [. S7 ? e4 `0 u: x8 z/ T' o2 r* D3 a
turtles-own[
( a8 l! A* g, otrade-record-all
, \* H! a- C3 ?: m& `" \;;a list of lists,由trade-record-one组成
, b1 {) h( l# k9 s6 ^) utrade-record-one7 _3 x& }! y3 d8 w4 v y0 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1 E$ a' q9 S4 _! Q# w
0 j* `1 [' @0 X% n7 ^
;;[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]]# e& u3 q$ O# y; w' d+ b2 e
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]7 H* _, v3 a y/ ^
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; Q m% V: [" [% ]( D( l4 f
neighbor-total: l# [/ z% x% Z
;;记录该turtle的邻居节点的数目& E% C0 k4 t8 F4 |4 @
trade-time) M4 `/ g. [* f' W& `& o
;;当前发生交易的turtle的交易时间
5 Y# b& e7 e8 Nappraise-give0 Y+ ]( u$ G6 ^( D y
;;当前发生交易时给出的评价
: M2 S1 f* U& k+ xappraise-receive
2 Y5 b. `# T9 ~% o, l;;当前发生交易时收到的评价6 y6 |- B) \6 q b. G3 u$ a2 l
appraise-time9 V9 d+ X8 @( P/ M; ~+ I; j
;;当前发生交易时的评价时间
! c9 w2 _2 T* y, n: Jlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
& w- j4 M" P3 p2 O, U8 S) o4 Htrade-times-total& f, H. w/ P+ L
;;与当前turtle的交易总次数, j1 M) I/ p9 L
trade-money-total
4 |- m) z" i3 q! P;;与当前turtle的交易总金额
' Y5 ] o+ \# `4 dlocal-reputation
' V# d6 M9 S! C, b" x+ \/ Eglobal-reputation
H2 q. W, Z C$ I0 F7 r6 Ccredibility
e0 N, f1 i, A9 N/ q7 J! ^0 ];;评价可信度,每次交易后都需要更新$ X* `4 W7 @- a0 i0 ^& q
credibility-all! k; ?6 n! i& 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4 u6 S" L, D- o
) R$ l( Z' p+ O* K ?6 m) I
;;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* G* k- w8 D2 D5 ^6 l
credibility-one$ p, ?9 ]7 s$ @4 Y: l! u4 S, O# }" V
;;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% o& h1 e: o* w4 h
global-proportion
, t$ m, |) G- C* b: `) M/ j2 Mcustomer+ O& H; V) ^" D7 Z- X! X
customer-no
# }& V& ~) g4 gtrust-ok8 k7 a6 ]( ~1 s$ | B1 r- N
trade-record-one-len;;trade-record-one的长度' _) b/ x* s7 { Y A5 p( H
]6 X. d% s2 _5 l8 _4 U
4 m, e" p, j% N5 O j- F;;setup procedure7 `/ _# V2 v9 H5 N
8 z9 a$ W: H: a6 ~2 P5 f d
to setup2 c/ |# k4 r% H
2 q. s7 ^2 c! R4 k9 `3 Oca
4 k5 J4 E- h! E8 t6 _3 ^& R
, g+ \4 ^" I& \ rinitialize-settings1 o! I4 K6 x% M" y
) U! G6 O8 K& _! r" o9 N1 n5 X
crt people [setup-turtles]' n$ z& G1 | u+ ]3 @' t2 @. v- G& E
" Y8 {8 v2 K1 t) Y7 I
reset-timer
2 |" a/ ?, {1 @: I% x: `( V7 I( K" P
' O6 h' @, J& G( M& ]+ V0 m0 Dpoll-class9 @( e* U5 J+ w" B
7 U+ ?9 z$ @% Z% h }3 G9 l9 tsetup-plots
1 h& o$ v% v# i1 g* z3 S
; V2 f# }9 K* n4 T" \. sdo-plots+ m8 k% K! c8 X
end
( L* o2 ^( c0 ` ? u: f1 i! Z. G) C2 x1 N0 y" G
to initialize-settings
4 i& g8 u4 s2 p- q n+ y: ?9 L! P3 _
% \4 s' O( R: J+ p2 e# G3 Xset global-reputation-list []$ O: m; b/ B+ j) y8 }1 O# q4 u
. c" ]5 d& n# G2 @8 U( Q( Z8 }# l3 eset credibility-list n-values people [0.5]
- E! `( Q& _- N5 c
: W' i$ N q3 q: ~; iset honest-service 0
! H5 C% d8 W6 [7 ^- m4 E6 M# @4 n
/ n- E3 D$ V# k7 L; W. Sset unhonest-service 0" w" m# `& q5 F+ Z/ `1 S) Y% u
1 k$ \4 Q' \, X" x8 Q2 i) H# J9 jset oscillation 04 p1 m" K+ ^) c) p
" f+ F2 n- }4 a0 u- cset rand-dynamic 0
( ?/ A9 E% U; E5 Xend
7 R" z1 ^. R; x' b$ B J ]7 D0 M4 H# A ~1 [8 U+ \6 s
to setup-turtles
4 U4 f' h8 ]. P3 K4 _4 K& j: M3 ~set shape "person"
# R2 B/ N' g r" ~+ R% c, \& [setxy random-xcor random-ycor
% v6 ~% Y3 y% O B6 Rset trade-record-one []
: q- j- V9 j5 l: F r b5 U7 s
$ Y6 p+ G4 f6 U5 xset trade-record-all n-values people [(list (? + 1) 0 0)]
# @' w$ D5 v9 s& L1 K2 n
' ?) ^7 {4 Y2 p( n0 Iset trade-record-current []
2 {# p8 ~; r! u5 y& {+ dset credibility-receive []
( M9 Y8 T$ T* Iset local-reputation 0.5
% m2 A+ ]0 M4 A6 L, d3 y+ a' h# x% Hset neighbor-total 0
/ e% b/ d5 | a) [& l. C: sset trade-times-total 0" F8 {: P: l: c5 [- ^
set trade-money-total 0
: O, p* w3 z- w* x% W) V8 mset customer nobody
. h& Z: d( y G5 @/ `# D1 Mset credibility-all n-values people [creat-credibility]
- M* D, U0 k Q! \- u! Dset credibility n-values people [-1]
) H) ~8 Q2 r2 E9 F) |3 [get-color
: K1 @ v* j, Q" V% Z3 n% f$ E0 \0 K, ~2 ?3 U, E) C! N" [9 i
end0 j, J& m0 v. C: c4 u2 G0 ]
! K& x' w/ t3 J& B6 {) ]
to-report creat-credibility
& b6 j; I9 P' D, \8 M! A, Greport n-values people [0.5]
+ Q/ ^ S l" I! Send: B0 c, l. w! G Z: p* x! V
' s2 C* U& n' U
to setup-plots0 C! H8 ^* u* X! O
6 f$ u9 y! B$ Z" H, Z# z3 \set xmax 30
5 H/ k, i; s/ O0 q# E- _5 x" B% X [, h6 \
set ymax 1.0- _: x8 Y/ ]& F! S
. \* a7 q3 l& E1 r! J* _. d2 Uclear-all-plots5 Q) t0 U4 N* | V- E# r. g" A
/ Y4 n" Y1 @2 p( @' v+ C, @3 G
setup-plot1
1 R! s" ^& V" H9 {
3 j+ C' O! `8 Z4 v3 C0 ^. `0 i5 E) q! bsetup-plot2. C E' l( G4 d7 Y" T
5 M/ G% e7 a2 @3 ?9 \% t, L/ c5 J6 R6 csetup-plot3
% A5 O2 q3 b& X! V2 yend2 S3 M8 Y& H- J1 o! R( w# f# `& q
7 V0 u }8 f: {7 ^
;;run time procedures8 c# Z" X/ Y; _: |5 L3 |) J, ]
& W, n8 e/ Z9 m; Y, xto go
# n; B. I6 u# {! G% i4 _
/ }: r4 c+ j$ a; B5 T4 D; fask turtles [do-business]5 R/ V x* u* q, R; m
end( M' \( n4 S6 c& A6 u
# e! a( p: m9 h' c$ s2 Y& v) C. ito do-business
1 z; ?; \4 c% D- o t, n; X5 C
/ ]$ p& ?/ @# d2 y2 x+ y
7 M% H S$ G2 \rt random 360 d7 F d d4 K& w
4 X( S- X! c8 B* |) X
fd 1
) N: p: h0 R9 |9 {$ U' o P) z' B$ t$ Y `2 y) [& F( u
ifelse(other turtles-here != nobody)[* ?7 r- e r4 ~2 S
" G# y' }$ l3 j- P+ z( |" u
set customer one-of other turtles-here* K3 [1 g! ~5 t
$ f& C2 c% n' r9 L' e* I;; set [customer] of customer myself
( R* y6 g& J4 \' u4 L; X2 a: Q" e% ~7 B) Z
set [trade-record-one] of self item (([who] of customer) - 1)2 b$ g# x# t8 H' o! ^0 ^) F4 ?
[trade-record-all]of self7 j; |6 o& M( ^; G# Q* `
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self5 Y5 r# _3 a6 O. b n
' `5 G& j- e5 E. m1 {7 J% `( }
set [trade-record-one] of customer item (([who] of self) - 1)
! g4 Z9 f9 v% N Z M3 ?2 l[trade-record-all]of customer. H, ~ V6 D E) n3 \
/ d7 g& ^3 K+ f2 d9 e
set [trade-record-one-len] of self length [trade-record-one] of self
5 H. D+ T W+ Q9 M; I- P' r( t
. A- _2 j5 \( O, }" m, K0 t8 [set trade-record-current( list (timer) (random money-upper-limit))) j6 M* |8 C' R+ m
& P2 F J2 ?( _1 F2 n1 o3 _
ask self [do-trust]
2 @6 U, }6 a3 n;;先求i对j的信任度; a: S& i' j w/ q
; I, R6 A K6 u( eif ([trust-ok] of self)
: R) l5 r( J8 }( H2 u5 S3 T;;根据i对j的信任度来决定是否与j进行交易[, a9 X) t$ n' T. q8 F O7 q
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself& {/ O4 K3 X3 d. u' \
6 s% N5 a9 i2 y, G[
) `2 ]' z6 c& s! T6 I: |+ l9 V" ?, u( g) v& W; J
do-trade
- H ~, y8 y# F4 j" W
0 \ X3 _! M- q7 }& z# bupdate-credibility-ijl; K% ~, D; q3 S/ Y c% V/ m
- V0 ~$ e' a, K5 |* ?
update-credibility-list# n; E' Y. K; }! A' L8 v6 ^: s
. ~8 L6 W$ r) I( F
# }$ p% p* [' p+ nupdate-global-reputation-list& f0 A. B7 w: B) @* W- T
9 @) R! K, C; @* B1 |+ ]7 Cpoll-class
, z6 U& w' n& }3 a1 _3 n c9 [* ^7 u! L# Y% H! o! w
get-color
1 v4 Q% g* E1 R. T$ {' J7 y3 J; B/ F7 r
6 S4 [ C5 N& a0 F* A]]+ r6 ~$ d8 F# |) C1 V& W; B, S' ~
) @2 J! I H7 F% x" b
;;如果所得的信任度满足条件,则进行交易
# O8 y' S) }" ?" I/ v) U7 r; N8 b% h* B
[
- w, G& n, q9 P+ I+ F# S* n
9 n! @; ?- Y0 X% ]; J3 u4 jrt random 3608 s4 F$ ~2 e, H. N; V0 O
4 m( ^/ Z- W" g8 U% K# Yfd 15 h( e$ f3 O& `; Q) X/ u" H, z
% ~$ K7 R5 e, Q
]" u ^, V" ^1 k4 [
8 x! T x& I. ^9 ^" t
end
% H, l+ L6 F8 W1 `. F9 T7 z6 r
4 R! z/ z: t% ]to do-trust + Q% v1 j( _" Q7 {1 w) }
set trust-ok False" T1 n2 |8 G N& ?0 {& N7 ?
8 o$ i$ N @" G7 k8 u7 s& s0 g
! ?- d9 r5 z2 V. X
let max-trade-times 0
3 y h/ {7 x5 G% H( z4 @foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]" m8 Z6 u( d# j( x, t& X5 W1 x
let max-trade-money 0, C" f b7 C5 _
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]- e& q/ d+ e( ~( l, N$ m: Q
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))' r- A. k- Q5 @* I
; }# [$ y* E& X f* i
! B* k4 }% ?$ a4 H2 Y: mget-global-proportion, d" m* U, u- R1 N
let trust-value
* [ P/ y( e/ P' v* A) G* Ulocal-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 e, o, E2 W" k0 H
if(trust-value > trade-trust-value)0 `) P' F+ ?/ l" Q5 X9 ]& q9 N. j
[set trust-ok true]3 t. N7 r1 r4 }' g* S
end
' F% ~+ d1 F- F4 n8 h" o
1 A* u( ~! d' N+ E4 I- hto get-global-proportion2 I$ X+ A. N! U
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
9 l7 D5 n- K: ]9 W1 Y$ }[set global-proportion 0]
7 P* c& [( l) R8 B" O! v[let i 0" X& q" A/ c" a
let sum-money 0
/ Y z5 [! {: [! Y0 P* d2 A. Twhile[ i < people]' l* O8 E, F% P3 J
[( M2 l9 E5 E: Q0 }) [3 w
if( length (item i# ?% ~: y, h+ E; Z' w
[trade-record-all] of customer) > 3 )
# | ]8 g! G# @) R[5 Z' @' t5 e' A
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))0 \8 \ M' t d' a
]
# ~: b. U, v# y' C |( C]
% g' M8 ^( ~3 m. T$ \let j 0' p) K4 g0 n: s$ q
let note 0, Z# S3 ?3 {5 W" R4 j* K- L
while[ j < people] a# `+ }3 Q! m$ w. d/ }& Y! `
[& S- w( `! v5 ]4 t. x& F
if( length (item i
/ e1 g/ Q$ ]4 @) |" G1 k. J+ z[trade-record-all] of customer) > 3 )# B. L1 w3 b3 p( f
[
+ V* d9 l7 X0 U* Bifelse(item ([who]of myself - 1) [credibility] of turtle j != -1), J x5 { N, C0 e) U3 U" i' ^0 ~
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
/ ?. O$ [% O- L" ?7 Z. l1 g# `[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
( b+ v; E6 \2 U3 Y]0 q( o0 R0 G6 Q; K% L! s: S
]
, D( V% o' I9 c" ?+ _; I) dset global-proportion note6 `4 q/ {7 T1 T8 l$ e# a8 @( M
]' _6 t7 [* n) u
end
+ [9 v _; {) E) Q; M9 t2 H7 l* u; L8 ^8 X
to do-trade1 U/ ^9 J/ Y. ^1 F
;;这个过程实际上是给双方作出评价的过程
- G5 i% z6 p; @( P7 {set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价8 t2 K# w4 T) n8 L% u4 V7 F
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
0 q7 F/ B/ j! ^0 T) ]. J9 W; e4 pset trade-record-current lput(timer) trade-record-current& e7 k1 m* |$ P
;;评价时间% Y) [0 ]9 R' ^, Y
ask myself [9 Y- s/ J" e+ z S
update-local-reputation
9 b' H, Q n- x: pset trade-record-current lput([local-reputation] of myself) trade-record-current
. V6 H. Y$ ^0 _3 A& M]
; U. B; ?& ~( J( {8 |# Tset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself: n1 v4 x5 r* o
;;将此次交易的记录加入到trade-record-one中
: N% o0 k$ y ]set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)6 h1 H- c. C. N$ m
let note (item 2 trade-record-current )
2 n" U/ ]4 k. o# ~ e1 Yset trade-record-current
0 ]0 l6 J6 r2 S' s! J(replace-item 2 trade-record-current (item 3 trade-record-current)) X' A3 j/ b+ A: [. w+ l9 Z# F8 u
set trade-record-current
2 P0 F- z7 L1 |+ M(replace-item 3 trade-record-current note)# }" Q1 a) c# k2 \7 u9 s( m+ ~
% n5 ]8 o# [. Z" p, N
+ w4 l* y U; h7 @" Y
ask customer [
. A+ i5 b( y5 Gupdate-local-reputation
4 J U6 E+ Q" |/ }7 K" @( Uset trade-record-current
, n4 z2 B$ i/ w6 k/ R(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
3 B) H; |# U, v* {]
( d5 K' E" u# p1 a! R- A+ }( _- [. @: f* t/ K: [
! H( C$ Z* ~4 M* sset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer3 Y! f/ E; ?) J0 Z
w9 X" j" u2 M1 f3 u3 ]; e
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))7 W1 P& i, v( m( v
;;将此次交易的记录加入到customer的trade-record-all中
: Y4 f+ T4 j8 o( ]5 {end
- G' L* ~4 x! h$ K% q6 W @7 y$ R( k
to update-local-reputation. x- O) f4 r3 p" K7 U/ I- x2 i, a
set [trade-record-one-len] of myself length [trade-record-one] of myself8 C. a) i3 F3 H3 [
$ u5 a$ {/ ^( c2 |7 L
% x( s$ K; D( c: [: Z6 D N" Z;;if [trade-record-one-len] of myself > 3
; N% h7 U5 ] fupdate-neighbor-total# V8 f& u/ t) K
;;更新邻居节点的数目,在此进行
! s* I8 O6 G$ L3 W1 \ Y4 E7 ulet i 3 w9 V% P% w6 J3 v) [5 L3 ^: [
let sum-time 0
* U" ^- R% r! cwhile[i < [trade-record-one-len] of myself]! C, ~ s# y" ?3 Q2 i
[/ c4 \" C3 r( H" F/ a2 d# x
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
5 J, Z8 q5 A2 N; A( j) Sset i/ C' j3 ? q' V, M, z" @ h p9 a
( i + 1)) ~1 `6 f. R8 z4 c3 P1 g- d" |
]$ P h4 A L7 x/ J
let j 31 ]8 i- i3 f3 x
let sum-money 0
# Z* p& r: W4 P5 [while[j < [trade-record-one-len] of myself]% m k# e4 a$ Z& `
[
$ z% H, K" ?! J4 U2 u! j! I8 b# Yset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)2 n& X% M2 h; q3 m2 j
set j
( u% H' l" T5 V& d& J( j + 1)
1 Z# W2 `/ m* @]
! f: q4 L n6 p+ r6 xlet k 31 D3 O' i& f6 a, e8 T, M
let power 0
* d) w% f4 e$ X6 r4 M: a3 |let local 0
g5 e( t3 S/ E9 _1 Q+ T; twhile [k <[trade-record-one-len] of myself]
0 H% |$ p# Q9 O+ ^+ V. O. z* O[
# ^: _! a3 j& [* r0 s- V6 @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)
y2 j+ ]5 m. c( ~3 i/ U8 }& eset k (k + 1)
! X, s* G8 }4 v7 F9 a3 r]
/ Q! R. p0 |; Pset [local-reputation] of myself (local)
0 P T. {0 x+ |4 send8 U5 @; P& C P" a: |2 K2 P4 X* F
' k1 i7 b3 W0 K: M
to update-neighbor-total
) G8 p* u& m# w( `& i
; L4 f c- Y! v+ W5 ^if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
1 T' D" C6 T0 H/ T X! W3 w; M. y9 o: I, o
2 R1 c$ S, v0 G7 r: \
end7 r# B1 W# r n! Z& Y* F6 Q
! O' t& \; i |$ e4 m3 O. H) m
to update-credibility-ijl 5 C4 y0 B/ U) y3 j
% y; Y* g% J6 A7 f4 s; D& |! o! ~;;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。
; j8 [) w3 x9 y) h2 Wlet l 03 q! q5 z2 v; }
while[ l < people ]5 E) W! Y( A6 r2 |" f' @ A% {
;;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
" j: W/ O1 t% L0 K6 B[
$ f- A; M h+ i6 D/ Y/ x" E, f q9 ulet trade-record-one-j-l-len length item l ([trade-record-all] of customer)
8 y( }& K0 G1 n/ O9 K1 ~if (trade-record-one-j-l-len > 3)
! A2 \6 |4 ]$ u, Y0 i) F[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
! Q# d) E* \! O$ @, \let i 3- P' C% H) A: N3 N
let sum-time 0" @' b5 x5 N2 r( ~! r
while[i < trade-record-one-len]
- N T) b# w3 Z# L; o( R[
5 }) v# g* N! U7 w* k2 A* Lset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
Y( Y+ d' C. Fset i
- v+ d5 ^. J) ~/ H( i + 1)
1 t1 o( D% t+ ~# {7 \% ^5 Q]
5 h3 [! G+ h$ @$ w0 Z) r2 h# Nlet credibility-i-j-l 04 [; Q' _9 h/ v9 h' k) ?! h
;;i评价(j对jl的评价)
; O8 P/ u2 _: q1 q( F) x% Klet j 3
( C. l# I; P0 y. d; ?8 ?3 rlet k 47 y P1 [) O/ y
while[j < trade-record-one-len]0 C( S3 b: W" T7 ]5 x
[: P E2 }- k& u s) y4 c, h n. z
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
1 N! ^% T0 D3 g$ A: pset 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)
" d, Q+ l- ]% q, c- @! I7 ~( Sset j% j4 h+ W8 k6 p8 p) g8 I% j7 b
( j + 1) u0 i4 Q N* `) B& l) ^3 K
]$ E. f2 i) l1 x- J, V
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 ))! Z. y& i& l4 u# L3 E& O
. V# Y4 n5 x7 M; u+ E- j; n0 _& E7 u# n
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))3 a" O' o" B5 B7 p' o. `
;;及时更新i对l的评价质量的评价+ b" }, K6 r, s3 q y4 ]
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
; S5 t$ K) R9 e5 }. v+ v8 gset l (l + 1)8 B0 X: G3 E. z+ ?7 w/ E1 v3 v
]
" @6 h9 ]' w6 E0 ~end
- x+ e0 J6 B/ h" F9 y" ?) x( T6 ~$ r; E, D* _* I
to update-credibility-list
) ~! q7 F( q0 t6 l7 s' l3 h9 x5 ]let i 0
6 I" x# B; `1 |5 s, G, k' Iwhile[i < people]5 @- }2 d2 A, v# F6 q! D2 {, V$ q# X
[
7 R: t3 S U; jlet j 01 |; O( r, S# H3 x) E& Q+ O
let note 0% P- e' G# [" C3 p& e- K
let k 0, I) [- i% L- t& `. R; `+ l/ D, G) X
;;计作出过评价的邻居节点的数目
5 Y5 k+ Z F3 f! Z$ Rwhile[j < people]
0 A7 k2 ], ^) U. I: w[* W- P6 f7 P* n& T6 o" L `
if (item j( [credibility] of turtle (i + 1)) != -1)
& p. w7 r, _; {& t* Z;;判断是否给本turtle的评价质量做出过评价的节点) e/ D* u; \: U* Q8 e6 ?+ c
[set note (note + item j ([credibility]of turtle (i + 1)))! ~, U0 U' j" t4 L
;;*(exp (-(people - 2)))/(people - 2))]. n& M) ^* d, v% D# [
set k (k + 1)% G4 t$ N0 Q f# H
]
1 F& s8 C( o h! \) w o% jset j (j + 1). r: ]; }% p2 _. X# u: w5 @
]6 ]5 [* x5 R% ~
set note (note *(exp (- (1 / k)))/ k)
- f, O! \; c" V: T ~( sset credibility-list (replace-item i credibility-list note), z; W7 G! {; `! S( W
set i (i + 1)
2 F* v- g% X) r]
5 b1 h$ u( V- a5 ~7 send8 }4 X f, H- v# Q% k1 Z1 T8 r K
! G* Z7 a0 c |: w& Jto update-global-reputation-list
4 k9 ?" {" X" s3 a( S5 p; Slet j 0
- g$ r' H) Q! T' wwhile[j < people]
4 p+ b9 w5 D& S. C% V[
6 i+ I7 w# f7 h* W" ylet new 0
' q6 j- ^0 \/ n% z% |8 E;;暂存新的一个全局声誉2 y# `' v7 h, ?
let i 0
" }. \$ _9 q% q8 alet sum-money 04 Z. Q( ^5 q% w+ |$ j& y
let credibility-money 09 ~0 [ ?( |' z7 e+ x5 F
while [i < people]$ c# _7 J" K! v0 Z8 o1 K/ T
[( F- [8 r/ E B7 _1 F
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1))) B7 a" t. F7 S9 x5 }/ t" ]3 I
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
5 _! G( i l% U) d3 S0 b' e. s6 I$ `set i (i + 1)+ Y: K0 J# b9 G) R6 s9 }' t
]
! v, X2 I) Y& W* qlet k 0% G5 A+ h- W3 U
let new1 0
Q$ T2 q- V) ?4 q" A; hwhile [k < people]3 J8 I0 j/ ~& y- y7 {1 R
[
( V3 h( t9 X, D8 L" C1 C0 ]( N8 qset 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)
; F0 F& u, D2 f& `$ Uset k (k + 1)7 L, k4 X* B4 d. Q
]$ J4 v! d: w; F2 j4 J1 z3 l
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) 9 r' V& a6 W( ~8 R+ P2 l* F. F1 {
set global-reputation-list (replace-item j global-reputation-list new)/ a b/ ^* ?- D0 O- B, X
set j (j + 1)
: o: R# V0 o# H6 k+ d% |" m8 V9 L]- L6 }8 C+ e. L1 r a
end! E9 f: Y W4 @
9 }6 c. [, W+ h x; }! U1 Q9 z. R/ b/ a9 \6 ]0 ]# K, e5 l
3 O( T! \& h1 n, Z- d
to get-color$ n' U- D5 t1 _0 J7 x
( c7 Z: ]$ H- @7 ^8 t' @set color blue7 L/ f% ?% {' y/ g. D" `8 y
end
, }! {" S. s! f- I
8 |7 R9 b% a0 ?* x! i6 i) i# G7 Jto poll-class
X2 D b7 M3 B4 d Iend
) r/ r; _ x. E, p c" V( I/ U0 k2 N6 u8 ^
to setup-plot1& j b! l. t5 D
/ @) a I& B* W% Y& i3 y
set-current-plot "Trends-of-Local-reputation"& ]% E4 ?4 S, @# H5 b: q0 y
# y* R2 m" F( d. q7 `# tset-plot-x-range 0 xmax
( y4 I1 a* [% H' l0 Z8 C# v* V$ M' q7 `4 ?, {
set-plot-y-range 0.0 ymax5 y$ J: t' E- P5 o0 F
end
# i- w' [# k1 W
- i% p- M. Z/ b! Q) ato setup-plot2
5 R% B$ ]$ N4 l2 I. ^
$ a0 n9 l. q0 ]set-current-plot "Trends-of-global-reputation"
. Z( e) M' `8 I; A; `3 o( V
, R9 t# c, n& \& S; P* f+ W" Lset-plot-x-range 0 xmax) ~ T" s) g* T6 {7 E: u
/ Q* ]) I" I( m7 Z' u( a. Fset-plot-y-range 0.0 ymax
* e' B7 O' P- f# P5 ?end; R% {2 |) }" \4 P l# N% H
8 I0 M% k+ G& H; d- a7 |
to setup-plot3
6 x1 y8 D, y& g a$ O8 l
8 j/ ~/ w- o% gset-current-plot "Trends-of-credibility"" X; P) e v+ o% F! J
- `+ R4 _8 k4 o$ `. T
set-plot-x-range 0 xmax
& b7 ]$ j$ ]4 l. R) t$ g/ A+ w% l* @' J) _
set-plot-y-range 0.0 ymax
4 f6 P7 r; z& a+ Oend5 a1 k6 k; g: \, K$ e5 B
- Z. r+ c5 D% c2 n& r. p1 z. N
to do-plots
2 o: \8 Z% D, ]! f! d1 w& yset-current-plot "Trends-of-Local-reputation"
2 a% O3 ?, A0 Rset-current-plot-pen "Honest service"! s" C# T3 [! |6 [6 H, J
end6 G( w3 t' e( r& | P' a
; j2 Q/ F/ E5 o: r[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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