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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
! ^9 n5 a2 ]" K- ~- V4 o J. A0 Wglobals[' r3 ?0 D, d K5 s. W% b
xmax. E( p- j9 }5 b5 i5 o: P- a, L
ymax
" q+ r4 V) j5 [# f }+ L& zglobal-reputation-list, k1 R: {# [% Z9 w
8 E) r( u) U2 {, x g" [;;每一个turtle的全局声誉都存在此LIST中5 R0 w* z0 P' H
credibility-list" U; J1 W4 u6 K. C, V. w, U* Y
;;每一个turtle的评价可信度
6 I- B& k8 ?6 i. N& rhonest-service7 d& h( X9 b/ F4 L- F
unhonest-service
4 r/ N$ N, D4 Ioscillation
5 m1 O H/ m( F5 o$ y& P+ t0 p' X Brand-dynamic
, i( @0 O# h4 @6 _+ X; a0 v]
) G! N- N$ _0 d( P
1 V6 @* A/ w+ t1 z0 t) ]! ~9 `turtles-own[
0 t, w6 U$ u! s$ x1 j' z" xtrade-record-all
7 A' O3 z3 [' A! ]* k;;a list of lists,由trade-record-one组成
/ ~6 E) V8 B) C- f4 d7 g; Gtrade-record-one
( V9 t+ z. ~% t/ M. V+ q) O1 g$ 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
* @. V- B/ n- |9 u6 o: X: \, Y2 D) ?- i1 y
;;[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]]
7 W1 y4 m3 |2 A7 t! y mtrade-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]: ~9 Y: W5 B* x
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- k8 C: R7 c9 e' y* P+ k
neighbor-total
2 _4 X8 k3 Q! z5 u6 _! f1 I;;记录该turtle的邻居节点的数目! N1 g! c6 @/ v; a
trade-time. ]5 l% B6 E6 j
;;当前发生交易的turtle的交易时间2 c K! j$ G7 a) n \$ O4 n4 C
appraise-give
8 H* n; p. @, p2 w- t, x+ H;;当前发生交易时给出的评价
( f" {8 ]$ O, Q+ Eappraise-receive
1 U2 y/ g+ w8 K h! U;;当前发生交易时收到的评价) x# H. {. G) G; Q, M
appraise-time
* j& q3 K" U6 k: f;;当前发生交易时的评价时间
! g# w2 H m, s7 alocal-reputation-now;;此次交易后相对于对方turtle的局部声誉8 F' Y' S" H. S) K' h+ s; |$ l- J
trade-times-total' Z3 W9 ~6 y- L* L% g
;;与当前turtle的交易总次数( N0 V, G; L0 ]
trade-money-total
6 M' A8 l0 ~; N" Y7 ?;;与当前turtle的交易总金额, A' d5 x! ]! w" f. l9 K u* m
local-reputation
/ a; A/ C6 g/ v' C. Q& rglobal-reputation
* F0 C* ?* e$ H+ D* acredibility( d! Z& W5 x- m3 \3 V
;;评价可信度,每次交易后都需要更新
* R9 s% X6 E6 x1 ] [7 Z" @5 ]! F9 ]; k) Dcredibility-all
/ f/ M3 S" M! I2 S" E( U! k5 q;;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* B: l! R9 P% N4 [( m% j% [" C
2 M, e, z8 m: L1 ]" h;;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0.51 e& w3 E2 o- Z: O" U0 @) O
credibility-one
* u7 K4 S0 h5 N2 T$ x;;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& H" q3 U4 Y$ A( B$ k
global-proportion
$ M7 |* s6 K- u' |9 O# Icustomer$ v) ]- _8 V) h) l/ c) o7 I
customer-no
1 {3 O/ W" v( R# N$ Y+ e8 }5 Xtrust-ok4 k5 h! h' E7 S1 q% {" x6 b
trade-record-one-len;;trade-record-one的长度
5 d: ~+ z/ D" W]
! |/ |1 T4 v+ @' f6 I8 m
, |& |: m! [' l( l6 ?;;setup procedure$ e2 l4 o$ ~/ @' A
2 A6 D1 `- w( E, h+ ]" Pto setup; o2 v, M; X7 u5 g
+ I: {: A. h4 w; r
ca# g2 x' D) J! I0 v j' |2 ~
( R. ~9 x9 X7 K! N: Ainitialize-settings
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crt people [setup-turtles]# _6 F; m4 A4 o0 \ j
0 L1 m1 {# Y' P' v4 b: i$ }0 _reset-timer/ t( Z/ H* b4 r2 f9 m+ }8 ^
. x/ n8 {8 t5 n# {& b
poll-class
. L$ g- \2 O2 V; T; o2 N
* S. f4 _ d3 |4 A- Ssetup-plots, \' E" p! B+ h+ x- {! g
5 S$ Y, i1 x) ?do-plots) R6 g X- @% f& T1 l0 C" ?
end! N6 j: L6 L& |% n
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to initialize-settings. _% `$ B% }3 \: h! Q; x& t
7 d: x6 q, x7 ?8 r7 nset global-reputation-list []" O4 Q* Z# F5 O; j
2 I" H; B2 d w$ p' M! yset credibility-list n-values people [0.5]8 Z$ ~/ K. \8 b( v
0 k# T- _9 p- B7 t" a
set honest-service 09 t, I$ ~1 [1 B
* M3 u; u/ Z1 d0 _( P8 Iset unhonest-service 0
/ o; F3 V: q2 c) @
8 r9 }% i# T' Z: Y7 b8 Tset oscillation 0/ O0 d1 l2 K8 [2 ~2 u
! ~$ F' g0 l4 P6 e1 Z( c ^" xset rand-dynamic 04 }2 y3 {( t/ n6 C1 N0 z/ n
end
( f, e/ t; u. ?3 m- @
% D( U, v1 ?; K4 |* r+ Wto setup-turtles
% S; O# U$ c6 m' i, _set shape "person"1 N) h3 N% I& { f: V
setxy random-xcor random-ycor
% J; V2 q3 }! }set trade-record-one []
5 [ M9 E2 ~2 }4 ~5 E" C5 E& X! t9 g( e' e
set trade-record-all n-values people [(list (? + 1) 0 0)] & B( G' T Z. N! B* @2 f9 H- k( M
$ n7 M/ l' w# ]; Vset trade-record-current []( r* e7 `: i P4 z
set credibility-receive [] Y8 L+ I/ L% q/ M5 `* j9 g7 E# D
set local-reputation 0.5' v ~. `8 Z. I7 q8 L3 g$ a" w
set neighbor-total 0/ @7 S$ J8 j2 D6 U# X
set trade-times-total 02 O" N1 {5 d+ M6 o! t
set trade-money-total 0
9 o2 w5 X" _' D1 p/ x6 gset customer nobody
8 F% V# ]2 M; ?: f! J5 P8 ]$ Lset credibility-all n-values people [creat-credibility]
% E" M/ s9 Y7 m) h' S8 H9 tset credibility n-values people [-1]
% y- B, U. J8 i' Tget-color7 m0 N: E. K5 [4 \0 c7 f- j5 F8 M
5 {/ i" c8 j+ Q+ v8 R7 n
end
& Z. e- z9 L4 h+ \4 m
- \( f* U& F( jto-report creat-credibility9 W R+ b$ _: f# h0 @
report n-values people [0.5]- L: m5 b# G# a- O4 ^# y
end
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to setup-plots
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$ O6 X3 L7 `. f% r0 {* y- pset xmax 30
0 v. N! v( v2 _6 B0 p* s2 h! K5 s0 @9 {4 _3 h
set ymax 1.0
5 C7 [; ^; E; P/ u- s& N
0 q8 O% U) O/ j# `0 @# n7 U9 ~- Cclear-all-plots. k! X8 d, p3 b4 y2 J
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setup-plot1) z9 T! y0 C3 B
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setup-plot2
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setup-plot3
) d8 o2 m4 | Q% k! m: Uend, E, J+ p2 c, B% R' {
$ i- l8 A8 v' @" U* Z8 W# t/ O7 G! p1 `
;;run time procedures q) S9 {% G2 b E
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to go* i- n+ o9 I& R+ ~, w2 J( `
8 w c. r6 }* {( v: T1 p; M
ask turtles [do-business]7 Y& H* u L( r0 r8 V
end
+ F. G) u: }2 `/ b. {
6 ~% f- \/ W/ T, ?1 \& tto do-business
% k( p: w" k8 A4 c8 V. g+ Y5 m! y( m
5 V( h J4 U9 @( Y+ V1 @
rt random 3602 o2 ]* e( H; h- h" z
% p- O- j; Z) n. ~. vfd 16 S5 d5 W r; ?) S( c
6 k, f4 ], ^! r7 Rifelse(other turtles-here != nobody)[
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set customer one-of other turtles-here
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3 `! Z: t$ x* n4 P, R7 e, k* \- y;; set [customer] of customer myself F8 K6 t8 }. _* y
9 ^: t% ~. e) n' ~set [trade-record-one] of self item (([who] of customer) - 1)1 p* P% o9 Z9 D' b: |3 E
[trade-record-all]of self) p& J* ^2 d- ?- z% ^
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
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set [trade-record-one] of customer item (([who] of self) - 1)
& d6 E; m$ b" ^% a1 v* _8 _[trade-record-all]of customer
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# A" ?( ?8 [5 I& x. lset [trade-record-one-len] of self length [trade-record-one] of self
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set trade-record-current( list (timer) (random money-upper-limit))
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2 g2 E4 K- }7 oask self [do-trust]
9 F% w9 [3 |6 D% M" U, o;;先求i对j的信任度% R0 U S: q/ y5 i8 m
9 `( \8 q% y( T2 U$ t2 e
if ([trust-ok] of self)
' F" O5 Q" f+ s+ B) R) n;;根据i对j的信任度来决定是否与j进行交易[
& U, O. ~+ w n; }ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
2 `' `3 s% N+ X' h7 C1 _6 Z
6 ]' U. U& |$ Z. o; s) w" i- c[
( S: [) K; k, ?, d B8 f) A0 S3 n* ?% |: p; \7 r1 I
do-trade3 l3 U) n( I8 V/ n& p
9 @3 s+ D# t* j- G2 l( G( ^
update-credibility-ijl
$ i e2 k% a: Q6 b- L& \7 x T& x
update-credibility-list
! c+ i/ s5 P- }" Z' ~0 `
) P( p# U T7 k( s. P7 }% C8 L4 a5 r" M% B0 b
update-global-reputation-list
+ \6 c4 `. S" V3 v2 |5 Y
?/ n3 Z$ r% p6 E! c1 K) R' Kpoll-class
/ q7 f$ K% N# T5 z: S2 [
; h8 W5 o a9 c& Kget-color. `& S5 T" H: R. J: V7 }( |
9 m% f- E3 h% u, a# w: c]]
# ?' c- a0 M4 j, V+ h3 R6 y) X! Z7 C- Z; @
;;如果所得的信任度满足条件,则进行交易5 p! U, s2 k+ y1 R
+ Q# v3 ^, t( C/ W( m' ?
[
; d) k9 v9 P% L6 R3 p4 |0 U( |
) m1 ~3 A8 z: u5 ` |0 p, s; ^rt random 360! i: m/ |4 v( c( m
6 O7 d6 R+ o4 x K. |5 ^$ Mfd 12 H5 P9 F! c) n5 A! t
* Q/ j/ K: d3 ?# u c7 P
]+ z3 b$ ^6 P! c! ]
8 v! b4 Z! T$ }5 v& C) ?5 ~ Nend
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$ Z5 \- J7 N' H7 m* b7 B) |to do-trust
0 \; D- C7 G* R" pset trust-ok False
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0 u4 M# U2 ^" d( t+ ]( X. d2 d
let max-trade-times 0
- {/ J2 @8 |8 o; K- e& I3 I& |foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
- P* \: \' w' q; L. ^let max-trade-money 0
! [. d4 B! |3 e* eforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]: ]* G6 ^& v& p1 `9 o
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
/ [7 |' [9 \3 p, T2 k( p- }% M
& A# C1 _0 x! v+ p* c2 F2 w
B0 _+ @, F1 x! F* P4 W- rget-global-proportion
0 e# i% R1 C9 ~& Vlet trust-value( a2 I0 Z; M" J# q4 r: \+ h/ U8 k
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)
3 I6 U* y$ R" y% @$ \if(trust-value > trade-trust-value)1 F8 p7 Q8 ~& i
[set trust-ok true]; W: U+ m: \5 j9 Z* I7 C5 w9 s
end
# {( P0 h2 x) K$ s& ?; I8 F2 @. ]9 a" _* b; G- {+ w% W6 S
to get-global-proportion8 J# P; i+ o$ A/ ]4 {! w3 d0 G* h: Z
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
' n( p. X6 U5 i- z- S; q, x[set global-proportion 0]' W I( J$ z& i( R" w: O+ w; _
[let i 0
; c$ g q5 {. U/ g# v# nlet sum-money 0) s" J5 }5 r5 v0 p
while[ i < people]. H& j3 j$ Q/ F1 S0 C
[" N& r" _; M2 o; q
if( length (item i* N9 T( h! s+ p' B+ L3 ?
[trade-record-all] of customer) > 3 )
+ R$ ?4 A8 k8 K; C% @3 h+ f[6 E1 s; A7 |( g0 v3 k
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
2 Z; G. M/ a% T9 m]
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% E& h8 u- S. p# c, @ v! s$ ~let j 0
! y( Y; P/ e1 H: U% Y5 Tlet note 0
9 P+ a6 I+ }. N' l, y3 _5 \" xwhile[ j < people]! A/ V4 Y" W% _- C& @
[( W+ @: R6 d' z) }
if( length (item i* m7 n+ Z/ k2 k7 Y5 w
[trade-record-all] of customer) > 3 ), V f- q) U( U& {+ e
[
; Z6 G S: B5 f$ c Eifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
; R+ H. N* y; @0 U, M# f" ^: R[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)] y+ S9 Y& P2 m2 k7 y; N/ N
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]1 z( O% T5 L' A7 i6 f- Q# m2 C, ^
]/ J6 g; d) j; w: T; Q
]% O7 {; M1 o& p8 c+ |
set global-proportion note
# [. T" S. O0 t1 g$ g% S* D. o]: `8 k! F# t: g2 {* l) q
end
$ w3 e0 c$ Y5 Y; t/ u5 b
1 Q8 p1 m( P& J4 w+ a% b8 Nto do-trade+ N1 n" d1 t8 v
;;这个过程实际上是给双方作出评价的过程
( L: K/ H1 H2 {" p. Wset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价- R( D2 E; \9 ^$ L; |) f ~
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价+ a% A* `3 k- j$ U# b2 S! }& n
set trade-record-current lput(timer) trade-record-current9 t4 j: U& a- N7 r) f
;;评价时间
, ` H2 B* l1 `( l& c3 b" W. H. @4 u mask myself [
: y% Q0 P: C* b. m! Iupdate-local-reputation
3 t, n, z# y2 R( r8 dset trade-record-current lput([local-reputation] of myself) trade-record-current
9 `+ K. E4 o$ {; ~" G]
3 G* C4 {: N" x+ s6 K8 ]0 Y pset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself; R/ \% L; Z+ p; m! f. ]# {* b
;;将此次交易的记录加入到trade-record-one中
# S! W6 q2 ^2 A1 u Eset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
& e d4 a A! }( Y5 Z) n: dlet note (item 2 trade-record-current )
9 x6 y# p- U% @* B" ^set trade-record-current
" N3 F! g3 K6 a/ @% X6 G(replace-item 2 trade-record-current (item 3 trade-record-current))5 o# H, o6 O h0 \% J
set trade-record-current2 q2 ?/ X/ Z" d" |/ ]
(replace-item 3 trade-record-current note)0 j+ ]6 \2 ^" Q! Y
, `7 ]+ H3 s n1 b0 M' k
; W, C/ c$ Q3 p8 F- ^# |' Wask customer [
4 z" ~$ s' n/ y1 h, ^1 \' supdate-local-reputation- y6 j# s- `; q5 c
set trade-record-current
; [: P |' d( T1 y' `& n(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
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* c2 w! r- N) f, I5 A* a
4 a6 s3 `, D* i8 P- W( J8 yset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer3 l9 i( ?7 p9 L) u) P% }, L
& g4 A& {1 E: I& h3 l* P' h
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
" _3 W, r% G8 }% r2 D# C* m! g;;将此次交易的记录加入到customer的trade-record-all中+ o7 u% B P0 K' T! \8 f' ~ p+ K
end
8 j; C0 i+ I; Q" P$ w# B$ j
" u4 A) l1 O% Sto update-local-reputation: @0 ?! k# G: {- [: W( l
set [trade-record-one-len] of myself length [trade-record-one] of myself' i8 H" Z. ^9 I, X+ m
9 Y/ D2 \9 i9 W
: H+ X) o! a" J( G# [;;if [trade-record-one-len] of myself > 3
5 ~" q+ ^% P- b5 ?update-neighbor-total' c8 P, | |) D' t3 W0 m+ B7 u' \; L5 v
;;更新邻居节点的数目,在此进行
, v. r+ {8 y; Y( d4 j0 Glet i 3: M: v' K$ {5 ?: u" i
let sum-time 0
- ^$ |4 R6 ]9 Y. Vwhile[i < [trade-record-one-len] of myself]- T# P3 ~1 F2 z5 x
[
) G% E: p1 E. L" y! T2 \ u. hset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )0 ~& B3 z+ u& u0 }6 I: U7 k+ L
set i
& |, j) j4 d( ] o( i + 1)! V% F3 s7 ^9 b) W5 b3 o6 V
]9 Y( b& H3 X4 s; r- y
let j 32 r, J0 T. [6 B" M- ?
let sum-money 0# c/ j" E. X U7 l! C) @
while[j < [trade-record-one-len] of myself]
9 W( S }! X; H( f2 s/ J, p, G8 P[9 R# \0 L- p) K( k9 V1 U
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). O% T. @* z* U, G
set j
* w" I V5 G- i$ x( j + 1)
. a5 ^/ {5 p: G8 R8 U4 _; h]" A* X# j, y! d
let k 3
# F& G. U( x( G: [+ e* w ?9 F9 Mlet power 01 n* O6 i, Y% A9 n6 ^) X9 O
let local 0
' x+ v' d# N* D3 g6 t* pwhile [k <[trade-record-one-len] of myself]( E' c- n; V7 N0 y: X( k# z+ A' N& s
[
% M- D6 g" W$ Q* O% gset 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)
% P/ [$ Q8 W# t: t$ z$ vset k (k + 1)- [* j \7 c4 d1 _
]
8 i+ O- { I i+ ^" P: J0 \# lset [local-reputation] of myself (local)7 w' V5 K0 k2 F
end& q# o+ U4 N( U' L0 T
$ n* s% _2 f3 Pto update-neighbor-total* C% Y8 {/ v8 ^, R9 a3 V0 R
2 S4 y4 M8 ]2 x- q
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
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8 x5 ?" e) L2 r
- W6 T- J+ C# f. M; L6 Dend' D& [$ f$ J) m! X3 O# u( P1 d
0 D L$ ]' t3 Y$ H; p) P8 m. ~to update-credibility-ijl
# ?0 x. @% K' t7 U' ^! |2 q/ e7 P
( n3 _, `, ?) I- {;;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。" B! Y Y. ]; F% Y
let l 0' r" C' {4 J( K! k3 R
while[ l < people ]
" {2 H/ J2 I* Z. p9 y; z" {;;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
. a$ o0 p7 V" D( K[
* C% |. B' v {( p+ \1 J/ l. klet trade-record-one-j-l-len length item l ([trade-record-all] of customer)
$ i, w6 a1 G/ |( P9 W# Dif (trade-record-one-j-l-len > 3)
/ r0 l! v( i# x. m0 I0 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
1 C- j. ]) r0 C) c0 alet i 3
4 H$ B0 \6 L, F' {7 A2 Olet sum-time 0
o. h# L! v" U4 d+ ^0 N) b3 dwhile[i < trade-record-one-len]0 j2 K9 l% }! V' A
[
2 |0 d0 j9 A4 m r$ ?8 \set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
8 a4 L6 O0 w, @1 J/ X, K5 I6 L; C5 V! y2 {! Wset i$ g" ^* D; a/ q: u, P" r
( i + 1)' D9 W8 T& M; N, _7 ~
]$ T$ R& V* A+ ~$ F. X" Y9 c4 p5 z
let credibility-i-j-l 0
# Z8 { V4 Q8 Q K/ v;;i评价(j对jl的评价)$ h3 k. V4 i: _' e
let j 3( v& N. B U5 B* c( {* [: x! K
let k 4. R) f l0 r- D2 S2 D8 b
while[j < trade-record-one-len]0 _6 `0 ~& M2 J2 |& g
[) O' F. N$ V" C: ?8 W% G0 d
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3 I g# r7 R5 l: F0 c6 ?" N6 ?2 A& a6 k
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)8 u3 [0 g- Q1 w* t* i
set j9 t! c& \8 H$ Z: O# `" H U
( j + 1)* x0 x2 x% n; M4 N! w6 Q
]' V7 {) a# Z# r: N2 R4 i1 Q: 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 ))
; q$ [$ e; T$ L; G! A. `. _: k; h# J& O( O& B
- C. p3 j" }2 J- W- elet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
$ x# R1 w- v N/ F7 j: j;;及时更新i对l的评价质量的评价# A0 W; k; t q3 T
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
! Z. X- C. q% {8 U! [" c3 j1 Mset l (l + 1)
8 a3 g1 p2 B6 C+ l& I], `" C6 Z5 N. D0 F' J
end
' \4 S8 F/ S" ?6 r
% n4 q4 j, ` X7 k4 S( J. p3 Qto update-credibility-list
. h N8 w) K% z; n5 j* Ylet i 0* ], r, |/ ?+ p$ o
while[i < people]
; }+ @6 f$ I9 ~5 _( W[
7 x* e# j$ P3 i/ @* k$ Flet j 0
" L2 U5 t/ S6 n/ h' V) S6 \$ Vlet note 03 \$ c K/ R4 s9 q& L& ]
let k 0* } w1 G- X+ B u
;;计作出过评价的邻居节点的数目
, }2 B( n) \1 C" M4 s& c5 Y2 `5 Zwhile[j < people]
' x3 K5 Y. r3 h) x& p4 u% d[
$ }8 |4 e! h1 {" Y( W7 r: ]if (item j( [credibility] of turtle (i + 1)) != -1)+ \% o& k$ C; C u
;;判断是否给本turtle的评价质量做出过评价的节点5 B$ X: h& _0 _
[set note (note + item j ([credibility]of turtle (i + 1)))
$ u. x# D5 a5 _& R;;*(exp (-(people - 2)))/(people - 2))]' |) ~% Z! z2 i4 d
set k (k + 1)$ t. @, Z. W( _/ G! X
]
8 |- @! c$ W6 v r nset j (j + 1)7 F2 x- M: b4 V/ K' n
]/ M0 h6 {$ ~4 d3 l R: g
set note (note *(exp (- (1 / k)))/ k)/ a E. l7 Z. {
set credibility-list (replace-item i credibility-list note)
! b- G) d5 [3 M; ~2 t' \set i (i + 1)
8 l, B- c% ?5 g1 r) D]
1 K2 i2 w: l! [" {# e$ u2 ]5 gend+ S. y: M# K4 e X
6 }: M$ E3 c7 D @/ u7 _2 J& u9 w* wto update-global-reputation-list
; v, D) {' y! Q5 Flet j 0
- x4 K, ^8 N0 i( i1 o, e. dwhile[j < people] x. F ^* w* ~# K/ C1 f
[- y8 A& d6 M6 ~0 P! U
let new 01 P5 q# b8 f6 m- ~' f+ C
;;暂存新的一个全局声誉) ~" x5 c$ ?+ L6 n
let i 0
) c4 C1 R4 P& P) x# a* n. flet sum-money 0
/ t2 Q! ~2 ?6 N0 clet credibility-money 0" t4 g+ X3 D1 ~: u
while [i < people]
6 {' T# G2 I, M[
: G2 L* P4 P8 H, kset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))" q4 G4 c8 I# z
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
5 M7 y6 K( i7 T$ S+ Pset i (i + 1)/ _* [' B+ D* c3 r1 C
]
# Q3 ^# R5 q5 v3 f' r# x: H2 Glet k 0
. C6 {' S& y# \8 o. Dlet new1 0- @ [/ L9 \2 R; n, R7 N) K& A
while [k < people]( V( [8 y) ?$ Z8 |
[ X) Z4 f8 g1 x' b
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)' n4 Y F5 d+ H5 k4 T/ {0 s
set k (k + 1)" o) j! [- O; I0 d: @, t
]! a' L3 J8 e! y3 t) ~! G X
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
. V) N+ Y# H0 C1 @) xset global-reputation-list (replace-item j global-reputation-list new)
) m& D, O# @7 \9 cset j (j + 1)4 [; J3 Q* @+ i5 S' A6 n9 A
], k0 y& M0 W$ v" Z1 L& j" A9 p) T1 D' J
end: E( @/ n2 p2 h# T7 c: Y
. S7 V7 u( w$ m
) s$ H& C2 f0 s$ G" u0 v
1 c: }) G. K, E' Qto get-color9 C- c9 I8 _0 W; P& J# @9 [
6 v* T( C/ V: P- L2 J
set color blue) _! N- r+ c! ]+ Y& V
end
, I s7 j$ T. B- Y: M1 P, c7 F& R" Q) \
to poll-class
( g0 _0 F* }" T% c6 N" J/ uend
7 L* }! G4 [6 C! S2 ]9 d
' W0 y9 X: g, G' s$ Yto setup-plot1% U1 H" \; J+ Z3 E2 T: _) \
" f8 {% c1 {1 t9 M& [8 p9 f2 ^
set-current-plot "Trends-of-Local-reputation"4 N+ x* e/ T8 N' W! N0 u7 M
: Q1 M/ D9 k, b F4 j' Vset-plot-x-range 0 xmax/ z# y3 o- Q/ q0 e* Y/ a6 w% K% `
6 O, v; ]8 b- t: S6 tset-plot-y-range 0.0 ymax
; L+ m: d: ?! {2 ]. kend
2 h6 Y* {8 Q4 j& [, Z$ C) O
* O( e5 o9 B$ @( G% z/ A; Lto setup-plot28 t6 Y/ V! p+ x( B' Q
" Y- n( `& [8 E Cset-current-plot "Trends-of-global-reputation"
" k! @( b9 J) }6 a* S% h& o- J. O. E" A8 @3 g* ~* f& F
set-plot-x-range 0 xmax
7 m* B4 y$ [/ E9 k6 r$ C: A5 m
' A. E% G# j; g! bset-plot-y-range 0.0 ymax. D) O8 \! F% f- a+ D: k' u& K
end- T. z8 I+ S; n7 | }1 L
2 S' V) g& V4 }: \( G; e, a
to setup-plot3; f. C9 W9 B" ^2 X* o8 z$ ~
) o! E4 T+ ^ `
set-current-plot "Trends-of-credibility"
( ?/ K( W% Z$ M% _0 l* j& g+ q4 J/ v, |1 _1 a
set-plot-x-range 0 xmax9 i& u R1 c9 X; |5 N* @/ x
! o9 o: ]% ^$ h) _- s3 f
set-plot-y-range 0.0 ymax
. [6 y% I0 t2 gend1 @# `8 o# t; Q( F/ M
2 h9 F& m( j! S5 w- x6 A g
to do-plots: d' M( k' B% y2 ~: o- J5 O c# \
set-current-plot "Trends-of-Local-reputation"- X8 G* o$ Z. p7 ]
set-current-plot-pen "Honest service"
2 l/ r# v: {( T) m) `: d: jend
) x6 ], l( a2 ^" G( J6 M1 v4 a
7 N0 | A; O+ B: u[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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