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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5 ~* S. z3 j x% Q' m, M' I1 A
globals[
4 \! D+ ], k3 o$ z* n5 }/ ^xmax( x$ g# M) l) m
ymax
: h7 N6 H/ d( s9 C$ `* F3 Z. Xglobal-reputation-list" j2 W3 P T0 {5 b( l! q$ J
* K2 h: K, ~6 U8 K( o+ \: T# g
;;每一个turtle的全局声誉都存在此LIST中* K. }# r% V3 J# O4 x
credibility-list
. q: x) ^$ v3 l( E;;每一个turtle的评价可信度
6 V5 [# z1 H1 J5 M# w$ {honest-service: j5 `' R# z1 O6 }; j3 K/ ^7 U# g* v2 n/ r
unhonest-service# s* Q- t, Y# x1 K
oscillation+ @. k2 Q) D5 A/ D/ W6 l2 t
rand-dynamic
. t7 N* M0 r( g+ \0 i]0 D8 n" N8 r. U$ N7 |
3 `; Z6 W0 h; x/ Jturtles-own[& G" F& U+ l' w& ]$ [
trade-record-all" P& J% p" b0 D* {$ O
;;a list of lists,由trade-record-one组成
/ [9 I2 d, z$ v% ntrade-record-one4 m* L0 c' B0 i! r. Y8 H
;;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 [! f7 V! ~9 W( L
3 M$ Y1 |) y. `* N/ T( N;;[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 Q/ p+ m3 z3 ntrade-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]
3 _. @( s- m4 pcredibility-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
( k% J/ D% I# qneighbor-total
" q1 a }3 `. X2 `2 n;;记录该turtle的邻居节点的数目6 `+ y4 y' V, }7 l
trade-time
1 B. J/ _' P6 b% N. G8 s. ~% i;;当前发生交易的turtle的交易时间
j# t0 f3 |( C: [& gappraise-give
j" O3 k) G ]- t% ^, y1 V$ L$ h;;当前发生交易时给出的评价' C- p5 B5 G( @7 S$ `/ m2 _
appraise-receive
# y [: ?. p8 [5 m- Z1 H;;当前发生交易时收到的评价
- { S$ o$ E6 j! p1 Xappraise-time4 ^. I& a, r# z) |+ X- I9 o T
;;当前发生交易时的评价时间
9 A- b7 i; g o5 J1 G6 ~' H. w i Blocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
& S) U8 T$ ]9 R* k; U' itrade-times-total
( i$ P& l: m- b$ ?" q;;与当前turtle的交易总次数 _* }% g8 l6 e- b' W3 o. q% Z
trade-money-total
6 ]+ U, d1 V0 z( Q# P. y;;与当前turtle的交易总金额
# l' `. ~# m" Nlocal-reputation
1 M5 k/ B0 N1 |% Rglobal-reputation
- Q. W$ J& {+ p4 k+ ?credibility
. t% S$ t6 }% f! e, D' [9 C;;评价可信度,每次交易后都需要更新, L4 n/ n9 y/ G7 j' {' N
credibility-all7 d3 z; H5 E2 k
;;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
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;;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
7 r X! I) _0 X( U: ?# m& Y" A! icredibility-one
- F1 j% \; Q0 f4 t/ O;;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
5 l7 w: z9 N7 W6 g# F5 mglobal-proportion
! d6 I- t6 a) ]1 G2 Vcustomer! S( |: `6 _3 F
customer-no3 I3 l' f+ d9 n3 e
trust-ok
- J: K' k$ K/ m' i8 {trade-record-one-len;;trade-record-one的长度& I4 d, u$ E: @1 Z
]# }( F$ ]2 i0 A
2 f w' z+ s7 M# E& M3 P7 p& j
;;setup procedure
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to setup2 D) u+ ~* y9 j2 z+ b
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ca; Z$ o, }2 o' a- a; g) K ]; b! R
s' c7 h0 I! Y" m" Rinitialize-settings5 Y M1 C- Y( w+ P- V" H9 _
t7 {; b% S; |( x# d$ S
crt people [setup-turtles]
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reset-timer- ~8 L) K# h* r
5 |' F- Q2 c* ?6 k" Q8 w2 J0 n
poll-class
# g: P3 G% u( [
8 ` X8 K, B+ A/ Ssetup-plots$ D0 Z+ L' l: i) z
* M) ?+ j$ O, l9 w. {do-plots( k8 j* }7 V6 H5 ?% [- g5 K/ E0 s
end/ N8 q) y! d! `8 W
4 X% |8 [% I( ?3 h
to initialize-settings0 P5 G: [8 h; k+ d% I2 T
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set global-reputation-list []# t$ @+ s, b0 g4 K0 ^0 p/ q2 w
8 D5 T3 h8 P9 k" A9 O, O/ {# S
set credibility-list n-values people [0.5]
% y5 x: @; i6 l. L' V t" U4 g7 L: t
set honest-service 0/ D( p$ B$ v- z* q+ O) R% i5 V. x
# k o' l) n" e# |6 jset unhonest-service 0
6 C V# `8 M1 t- u6 Z' z5 M' Y
% j* n; _; w% |) e; v7 ]0 m/ }1 z$ x* m: bset oscillation 0
+ u$ _0 h- D$ ~6 p7 _4 e) [7 X( x8 k/ P5 a$ [$ V
set rand-dynamic 0
6 ], o4 q: e# u; u: M2 |9 vend0 q( V& l1 U' P% i- X
2 a; s. ?( g$ D: n7 Uto setup-turtles
: r, M3 X, j7 @1 }: sset shape "person"
' J: _% A; }* }# S* ssetxy random-xcor random-ycor9 g: T4 e6 b1 ?: }7 n1 y
set trade-record-one [], R2 {4 J) x" b* {- C3 d( D
' f( n0 Y( \! m7 A5 Rset trade-record-all n-values people [(list (? + 1) 0 0)]
/ [" ]" v+ J8 A- A% n: D% q. ^" b. S' |+ c; y. {3 N
set trade-record-current []) t( F5 h6 x; s$ b. a7 r! F
set credibility-receive []7 c5 I1 S: ?7 Y/ A
set local-reputation 0.5; i2 f7 m9 d; A( d+ V, m
set neighbor-total 0
/ N& d- U! T9 i$ {- ]$ |2 Zset trade-times-total 0
?3 X# X% N r- y! z+ H9 k6 C) Zset trade-money-total 07 H: l& Y y! J! X8 R" i
set customer nobody
5 r! Q/ P' D$ t! z5 f. o( g; B! dset credibility-all n-values people [creat-credibility]
6 w. o3 r: _6 {- k; P& @ U- Tset credibility n-values people [-1]
+ m+ D/ V: h! }8 O# h) Nget-color
7 }$ K; M, q W, s% f$ t" ?2 x% A" Z% G6 S* P/ X" S$ W% D
end$ @) }) Q; ]5 E7 p) y
- I a! v& ^- h( \: m% U: ^9 `
to-report creat-credibility( d2 Y+ d, z( c7 H$ W# V
report n-values people [0.5]9 m f. T r# ~6 K& H
end( m/ G! k# _+ c8 R0 x- H% E
3 N5 ^) ~* O5 k( X. K% Q
to setup-plots1 v" D: ` T7 |/ R6 C
! p# _0 n+ ]/ j1 L* B' k& wset xmax 300 S" ^/ A2 T' _/ g- D
4 n+ h1 V& F8 B! h" ?9 @set ymax 1.0
0 S9 E# W+ c: o* s, E4 x: ]. f0 k2 N/ X! Y3 @
clear-all-plots
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setup-plot13 V; M* R4 c x6 z7 `' o
! _5 l5 K6 i; V+ `setup-plot2& S8 M7 D. _* Z# M
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setup-plot35 U& O. [; I1 s
end
3 S; s8 c! C' q ^$ U% D) m, A9 \- g0 L
;;run time procedures
: ]* Y# j7 Q" P0 G2 u& K
* R3 B& z8 d; |' y7 v3 Kto go
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ask turtles [do-business]; T1 A: {" ?, w9 T( K
end
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to do-business
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6 `! x# P- _+ X& H0 U( s4 M) u' p8 |8 ^- E. D# C1 v
rt random 360
4 X8 Z, G% [+ `# q! P4 p+ a
8 v1 u, A$ D6 x, ffd 1# Q; F) Q. \1 I
8 R% Z8 q! {& z2 Tifelse(other turtles-here != nobody)[
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set customer one-of other turtles-here
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;; set [customer] of customer myself. u- @* K: A- d( X5 `
o; j* @7 v8 C1 @& I9 j8 u% eset [trade-record-one] of self item (([who] of customer) - 1): a' Z/ _ U7 J+ V
[trade-record-all]of self
! S; g3 a4 \4 X;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
* D/ p2 h u& _
# `4 r8 H( F3 {7 v+ O7 q) P8 eset [trade-record-one] of customer item (([who] of self) - 1)
* `% Y. K# w, E+ }8 S[trade-record-all]of customer
_8 |7 M C$ b3 w M7 y/ j6 o2 [; X: ~+ t% t% \
set [trade-record-one-len] of self length [trade-record-one] of self# A! n L' S+ }* ?6 ^/ [
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set trade-record-current( list (timer) (random money-upper-limit))
c! @! k" T0 E/ N" ]6 g. e5 Q
* `6 ~- R4 u" \+ z* iask self [do-trust]$ n) A3 X4 \6 S& q/ t+ i1 F, o
;;先求i对j的信任度+ _8 H; H2 E) W4 R0 ?0 N
+ ]- `3 y; X1 Q; Q$ Q# t8 t0 mif ([trust-ok] of self)
/ T8 |, q0 t H;;根据i对j的信任度来决定是否与j进行交易[- _) I7 i: w- Y4 w
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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[, e# F% `* K4 Q" {7 {3 T
* I. \! w3 O {1 v& ^" m, l) w# T
do-trade0 o" z; W4 }, J T. C& p
, X5 K% l; k& a& d2 o1 dupdate-credibility-ijl: ~; C) l$ y. S) t* A3 u2 l
3 h c; w. V5 {/ ?) D! Jupdate-credibility-list
4 `- ?" K l2 t6 g R, v, S5 ^3 H% w' F: m
9 @. ~- W7 a; K1 V7 P$ g
update-global-reputation-list
, S, U; f, d V m- {* e5 Y0 C& P) E3 H# j' c
poll-class* B1 @- D* D1 r& H9 E7 ]/ S
6 I, }1 A+ E# _5 h% e7 [0 T5 c7 S
get-color! q' C- b2 D5 p& J* q& X
# m: z, j3 b4 J$ O$ L- ^% K8 T
]]
( J/ K. @" ^3 l1 `3 t- m
' W+ N* V6 r, A" k;;如果所得的信任度满足条件,则进行交易
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[
]+ Q- a# O( ]
9 a$ v$ M4 Z7 C" G/ [$ L( Hrt random 360
0 f( G- f( r" t) K9 ]+ z% w6 g
- O$ O) o7 g0 H% ~# l; Yfd 1 u5 u( _1 }; {, ~' S
5 ?. w8 R0 ~4 u4 n]4 P$ u* v' r( E h M
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end5 J* v2 I3 T, v( {4 p- C4 j: V& X
3 Z6 Z' L0 q) x4 u) p5 Wto do-trust
" C5 f: j& }/ s- x; `+ Jset trust-ok False
* Z* h& K( @' n1 A v1 k
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& g* a, f% b2 ^' P2 D/ |let max-trade-times 0
3 @' c0 K; E% Y3 d# a' @* @" \foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]. {. J/ I5 n# f( g: v- |: [
let max-trade-money 0
) }) h4 f. P% ^0 s* dforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]: x6 B$ K8 E: D2 N0 d* k4 D5 k/ H
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))- P+ t. p3 b' B d0 `# P- }; u
$ i8 F1 W' P# v+ ]- d) V: {0 P2 H3 i' ]8 z5 X: X3 u
get-global-proportion
% r8 ~6 X/ n) llet trust-value5 F: i6 K/ h) H
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)$ x7 ?0 y* |+ S* R& R
if(trust-value > trade-trust-value)
5 v& p! v& w7 T, b5 Q6 `; T& p[set trust-ok true]
- C2 Y" ~3 B* _end
, F6 D! l. L5 c4 G1 V. U/ d! ]7 x4 k0 ?, P8 b. _
to get-global-proportion
m! i3 @6 o$ X' f% S1 Rifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
8 t" [) R4 k0 N& O) W[set global-proportion 0]; s; A" }( n" |
[let i 0; X, g- E. T" S8 Z* h* f6 k6 m$ b
let sum-money 0
0 I4 }$ P; `& lwhile[ i < people]
. V/ O2 c: p' v[
& |( X d X* R) H" }$ fif( length (item i/ P" X! r$ {% r) d) n1 U2 y
[trade-record-all] of customer) > 3 )$ O/ {: }! ^2 K# F2 @( o$ t5 c4 {
[
+ V i0 \; V% q6 Lset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
) f! V' z) v. ~' F* y]
9 ~" U) C. I0 Q! m/ K- W6 D* o]8 [- S; b# h) K! e C/ f
let j 0& y: `: p2 q; L( J- D% O
let note 0+ L% W1 D+ E" {! a9 A! o
while[ j < people]" G4 C! `2 a/ e6 q% D T
[
( F# w6 I! s; W9 T0 y6 O8 F" P8 x. Iif( length (item i
; n/ ]/ ]- U# P[trade-record-all] of customer) > 3 ); E- _$ d+ K) n6 f
[
5 [* |- ^- S& a" f2 s$ Wifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
0 A2 h* T/ i! g' u; c[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
" H. D( b. z/ @* A3 w) I[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
8 Z6 T8 ~% V) v- C5 |]
$ Z* p7 v; _1 ]; | r]
. r5 H1 m$ R7 I$ ]2 T: {set global-proportion note% e7 ]" G, X! i1 j( ^
]
/ |& R; ?. |- x: }, d9 D" tend
4 z- s) R& N2 T# g9 i8 X. Z' u" Z# b4 O/ c0 H
to do-trade
9 h8 m* J/ u U5 r+ a% M# r) v;;这个过程实际上是给双方作出评价的过程
6 p; C8 b+ Q8 X% T9 Bset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价; v* F/ j3 [2 y$ I. t# g0 ]/ B7 Q
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价 j: y% e6 y! h) p6 d& c. ?
set trade-record-current lput(timer) trade-record-current
6 Z- C7 n# T2 v- ]/ g;;评价时间) W& n, R9 ^8 E( t9 ~5 {9 {
ask myself [# w1 {4 m9 v, x
update-local-reputation1 f1 Z& }7 O2 F/ {
set trade-record-current lput([local-reputation] of myself) trade-record-current
" b b5 S, o8 w1 }]
: I3 W5 ]1 T7 D, W& bset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
$ z+ G2 a+ ]1 ~: i;;将此次交易的记录加入到trade-record-one中
/ v f) M7 [" \set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
( c4 l& I" F* h8 ?" Q: Y* j5 dlet note (item 2 trade-record-current )
& O+ ]9 I$ ~' {" ^set trade-record-current( Y% m$ {" i/ N3 W
(replace-item 2 trade-record-current (item 3 trade-record-current))
. o% N" C; D# N! fset trade-record-current3 v: Z3 N- H# B' @# L* O5 e
(replace-item 3 trade-record-current note)* R, W1 k& I9 `* y
8 }, A+ C' r5 K0 J- `/ U0 k2 w: r, K7 v
ask customer [ B1 L7 E, w% v; H% Z$ |# `
update-local-reputation7 S) o" C+ Q+ i! [
set trade-record-current
9 o, c4 J/ z; U. z8 d, ^$ l- z, n(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) % E3 P- ?* @% {: ^: r7 ~+ R
]7 k9 G% S* L) T `
3 B8 X# h& V2 g/ o2 q! d' d
6 ?/ s' U( y$ y% l6 r" b" Hset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
! Y, u4 K5 F) [# E! y
9 i# c$ I" z8 n6 h* ?. p: ~set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
6 S9 w+ q6 D) x7 G;;将此次交易的记录加入到customer的trade-record-all中' j9 a3 M5 n) s' K0 t
end
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to update-local-reputation$ O9 r2 h7 P4 B' d; T/ d% h* I' R1 G
set [trade-record-one-len] of myself length [trade-record-one] of myself
# ?* B8 ?. ]' [ @
% B3 J4 Z% l. u9 A
, Y: U* X- t0 g& F" v3 q3 t;;if [trade-record-one-len] of myself > 3 - b# _) L4 Z/ q9 _- k0 I5 B
update-neighbor-total# V/ u/ q+ y" ~8 q8 D
;;更新邻居节点的数目,在此进行
$ d2 T" ]; R7 k9 p: slet i 33 z, t7 N# z6 M8 K' J* t% ]
let sum-time 0
8 W8 h8 [& a$ e( xwhile[i < [trade-record-one-len] of myself]
/ a+ ~6 T3 U$ U6 V$ J% V2 I$ A[7 K( K( E# n/ P+ Y# U
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) ): `2 V: D- N! b$ H2 ?3 X3 Y v
set i: F G5 V" X O. J
( i + 1)
7 K$ P$ W6 q6 C/ V7 n7 }]1 A) E# ?1 g- P i- W9 q/ h9 ]- n
let j 3
+ M, q' g9 V: Dlet sum-money 0
0 W% X! ]- L7 e1 ~. Twhile[j < [trade-record-one-len] of myself]& z. s/ o3 J4 d4 x S, Y' H
[
2 q) R- ~7 A3 z9 O) m" \0 E( r( {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)* |1 r, i4 P6 L& f- t
set j
! \, ?5 G9 B! g$ _( j + 1)
# E6 V- L8 P5 d8 ]2 o]+ K8 ?3 ^& G' I$ ?
let k 3
) i' N, o8 S( p; `let power 0
6 Z' V% y+ b3 Q+ y2 J9 ] mlet local 02 ]0 J# @0 m5 R! q5 ~ n: u, V6 s
while [k <[trade-record-one-len] of myself]1 S' g0 o% V( m% X, d+ F
[
" O: U4 [% s- j) P, a0 D0 Nset 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) % w; J1 m: p- S; s
set k (k + 1)0 f- A, ?# R8 Z F# v2 ^) A: w" z
]. f" W2 y' W: @8 A' y; F
set [local-reputation] of myself (local)$ E+ t0 b+ S+ m% e6 J4 S9 ~: b
end
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to update-neighbor-total6 p+ _# y9 U% _8 \ `" j5 d7 f4 w
+ S' |2 r! I* B3 X! Oif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]/ g6 `* ]+ ~( s8 K d
* y, N/ l9 e! T
7 R- h- C6 |, v* B! m* I9 W' f) p
end2 _5 x3 F# J5 j) i8 E
8 S( y% }0 z: h* W0 G% Eto update-credibility-ijl % t m: Q, B/ ?# f# U, q% e
- m% L, h% o2 v/ N& l+ l/ n) \
;;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。
" {, o; I& D7 c! _' ?let l 0
+ _" j8 |/ b5 w; r- |* M1 dwhile[ l < people ]
9 k& d0 ~% E& |- O# P3 ~* 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
* [6 t: a/ x" n% V8 D[
# E/ {- E- S5 q# wlet trade-record-one-j-l-len length item l ([trade-record-all] of customer)# J& B1 L7 V7 B( {7 b7 }' U2 Q7 ]
if (trade-record-one-j-l-len > 3), M" Q5 Z+ M& Q, X3 D, y% l" Q
[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-one7 ~4 V l' y9 N* T/ n/ p0 N
let i 3
: C" |* J5 h) j: c2 A8 W% f' rlet sum-time 03 J J3 n, m" r
while[i < trade-record-one-len] a* @* ^) B6 G
[
: V+ j# { [# k4 I8 [- g# f4 nset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )6 V- O: s6 }" t. r% _" x
set i y5 d* ?& v* z
( i + 1)
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4 z3 B+ r7 @- ^8 Z. u3 Slet credibility-i-j-l 0. O% g7 E9 j7 X2 n. j. z
;;i评价(j对jl的评价)
* I, ~) _5 ?9 N8 @let j 37 o+ C" s6 x- A( a
let k 4
5 ~1 @. Y2 M" V+ m9 |while[j < trade-record-one-len]
% q# h$ v6 P3 }0 J2 Q+ |; f1 f[$ m F& F( q" c, u4 H- g
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! Y8 D$ |9 U* L) o# L0 r- m
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)
d, p9 ], `' F% E% ]1 aset j
* F7 h9 j- {" J0 d( j + 1)8 T2 a# F2 U5 w
]
5 R, W5 i0 V: n1 M* G5 U8 h5 {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 ))
. y: h, W6 @& ^* i5 T# q3 t# H
' |0 b% W% B9 K* |6 a+ [
/ f- M3 w/ w8 v4 k/ ilet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
: O4 i& C. ~( p3 e;;及时更新i对l的评价质量的评价! _$ _6 U: Y/ k% h+ h
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]1 M& x5 ^& w# F. _9 b2 X' a
set l (l + 1)8 I0 @+ `0 Z o) s
]
+ Y* q m2 K4 T6 G) |$ U1 Jend
4 r9 C, N; Y8 e4 t D
9 |; G3 j3 y, O# W: [: s. ~! Rto update-credibility-list7 l/ E% \6 ~+ a0 n e+ b0 j7 H: v
let i 00 O% y+ {% o! A7 F. B
while[i < people]* H6 u" j `( q& m5 w6 R/ v
[
! l4 c/ J: X* z4 A& Ilet j 00 w/ U3 O, t' [3 z4 S. Q
let note 0
# |% H% E* L% I- o* N5 G" rlet k 00 A; C, _, Q0 y: w
;;计作出过评价的邻居节点的数目6 i* K% g n. N- U+ l8 M9 B
while[j < people]3 X" Q! d# [, i* A9 t9 V2 H. {2 S
[
$ e; I$ [ S# b7 Y. s- ]) {if (item j( [credibility] of turtle (i + 1)) != -1) ?/ F* m0 P9 E* a' }& C) v
;;判断是否给本turtle的评价质量做出过评价的节点
}% a) R4 r7 O: l- [+ V[set note (note + item j ([credibility]of turtle (i + 1)))
3 K+ W7 d0 C* c8 `5 J: z;;*(exp (-(people - 2)))/(people - 2))]
, W9 c4 X7 [7 B, L7 @+ C8 `set k (k + 1)) t8 D( V W3 k9 a) m
]
5 K: B8 r/ A" ]7 P' [- ~set j (j + 1)* O P# J+ }9 D# M3 N" y0 X
]! n w5 y( I6 ^: i' i5 K) f
set note (note *(exp (- (1 / k)))/ k)/ L9 ]+ W5 j$ X G3 E
set credibility-list (replace-item i credibility-list note)' n4 I: L8 R0 X9 {% D
set i (i + 1)/ @9 \* A7 e5 @- H! O
]
# g6 _) `; [% {; z8 gend
) p% r% n1 b* ?' j! @3 D: Q( E$ v. `: g3 p
to update-global-reputation-list
$ `+ w: y1 z' ~7 u b. O4 p ilet j 0
; n1 O/ @9 q+ I6 \while[j < people]
" }7 S4 C5 N2 G% q8 T& D+ ?[
6 y8 \" D& [. \+ N8 B+ b7 a! M5 Glet new 0
" J2 \6 M; |8 l7 E1 z4 @# X;;暂存新的一个全局声誉
( F; U" A. D3 N5 L' V) slet i 0# Q/ ^5 M, s; g, p! d! T) F6 q8 X
let sum-money 0# {: R0 |) H5 q6 x% Y b
let credibility-money 06 Q, s% Y8 a3 `, D7 M
while [i < people]
: B, g2 T& B; M. x; [& z[
& @8 D# v) J8 f" K4 pset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))5 v! Z: e4 Y' w s, g
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))* {& w0 Q, @) O# z
set i (i + 1)
: o, S4 Y* W6 f" I) E]
! V; D) S) O! p! H1 c8 N( ?% @. k* Vlet k 0
6 J% U" A' c4 c% V, tlet new1 0
F, O7 e+ {* z0 V/ X6 \1 Fwhile [k < people]& E" q9 Y+ \1 A+ F' q
[
1 C" T$ V% c2 |0 wset 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)
% }& m9 A! E U7 x8 b1 dset k (k + 1)- \! _+ p1 I7 r0 E
]
+ C* i$ {8 C0 x* gset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) + \4 K; q! |6 g0 t/ Q; c
set global-reputation-list (replace-item j global-reputation-list new): k D. Y9 z% ^# V4 p# q: V/ z2 w
set j (j + 1)
# ?. u5 X( g% r8 V3 \0 \4 ~]
* o) U1 i5 C* }4 Uend: F9 f) i, N& O) o7 x {
6 V1 q" h3 `, T0 A0 n$ i) [: d# f$ g, Z4 g8 I
( S* E& Z! c5 X2 l2 h2 l# Q. K/ n/ Lto get-color! x/ Q! a. R- j
* U: ]- T3 F7 r; [/ o0 sset color blue1 v0 O0 @& z7 {, E( [' d- _
end3 `: v8 c- P1 t3 h' }
" N, n5 Z1 b) @+ s6 q) ?
to poll-class/ y- y8 E4 t* {
end% J- y. _, v' r( f
. s$ L% d# [7 j$ p; x
to setup-plot14 k C. `. f2 E$ M
% ~% R! S! K$ R/ l2 s$ Zset-current-plot "Trends-of-Local-reputation", @; @8 j1 Q- s" s
. }8 @0 A H% d- p. x7 ~! l
set-plot-x-range 0 xmax+ Z6 \! k# S Z* R5 {' G, f' e
& \/ z2 l9 y# C
set-plot-y-range 0.0 ymax
9 o4 e) ~ ^" t+ P; M2 K$ z) fend1 x2 P( }7 p. ^! d8 U' {# K
) g8 J3 f' K' _1 n0 A5 \' Ito setup-plot2$ f3 q; H- |8 A' h/ G8 H) y4 O- V
2 U& Y! J8 @- A- ~* H
set-current-plot "Trends-of-global-reputation"( S1 D5 s% F8 ~
3 O e% o8 b f e ^, d; _0 i( J& z
set-plot-x-range 0 xmax
" _( `7 j2 D; i/ p0 Z
; O5 x9 H3 j0 h8 J& aset-plot-y-range 0.0 ymax
- t% T9 L1 @8 u2 S* C2 Eend: W, x; v& B. p% ]& D! [. }
" i5 {2 L4 B4 O% [& ]3 {0 f: p
to setup-plot3
1 Z, |& U% ^4 ?( o4 L7 M/ J4 Z, d( x% U% q
set-current-plot "Trends-of-credibility"
" n7 R2 H q' w
. ^* M5 e5 c+ c. Xset-plot-x-range 0 xmax
0 m: q- Z$ s/ u" O# P6 G# v# q; ?
set-plot-y-range 0.0 ymax9 {) C8 \; ?# V8 {7 n
end5 M# u! H) l k% ? u x' U
9 @1 n' y; s$ ?; z, G/ n
to do-plots
5 K# L: t3 I5 O/ ]7 Q+ N, Zset-current-plot "Trends-of-Local-reputation"6 t* h; h* x& e! O0 g2 T1 H
set-current-plot-pen "Honest service"
0 p' Z/ [' z X" F1 Y Yend
* I- ^; L2 o# Y8 G, L, A
, P' j) E4 y; E! P& N* s[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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