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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! c6 q0 b3 Y% D8 \
globals[
; ~- q' G9 Y5 Q2 R Ixmax
5 I H( U& T9 o) pymax3 @9 C5 V D+ v5 c5 ?: v
global-reputation-list
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; r2 v: Z a2 ?$ [8 X;;每一个turtle的全局声誉都存在此LIST中
6 S- M/ M# \) N( L) m, j3 O- qcredibility-list8 Z7 K7 g) P, f f* J1 |4 E
;;每一个turtle的评价可信度4 A2 M' j$ c! S& V& A" G" f( u
honest-service
( f7 D6 ]4 A- Z8 n; _1 runhonest-service% B" z2 t% F1 {% x9 ?
oscillation
+ l" o: f5 \9 a' `8 zrand-dynamic
% J( q C8 b( e6 y% B8 ^& l]
7 ^6 ^ B- y! V2 q$ Q% x- t& ]% B0 `! c6 K
turtles-own[# l) b* z; [4 ^' w+ v/ \# ]2 ?; x
trade-record-all
1 u- i6 O/ \5 V. M: d5 h9 A$ g;;a list of lists,由trade-record-one组成
) W1 o# w- y2 t& Ptrade-record-one6 s7 K7 g$ T- Q9 X& `) a! d
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
2 [/ ~* U- B' B. Z4 E/ ?/ ^. Y& M% l: X) G( x' K* p. H7 ]! i
;;[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]]3 w8 n6 W0 Z" G3 S2 r5 E$ L
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]
# U: z" J+ F: D& x' 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' L1 j4 ~$ D* [' W0 t
neighbor-total3 |+ U6 z& a2 t |# q- x
;;记录该turtle的邻居节点的数目7 q/ i5 e: h& N6 y* Z
trade-time1 i. e& E1 p# _: a' `) C
;;当前发生交易的turtle的交易时间
7 b5 c2 l+ G& U9 Q! Nappraise-give w7 s7 c3 d+ T
;;当前发生交易时给出的评价2 W) t% u% `# s4 j9 Q
appraise-receive/ c2 c( R) c. h2 l+ P
;;当前发生交易时收到的评价
( q; c0 I1 ~' [: ` W/ G% @6 happraise-time: t/ N: t; z& t$ T \& s, c, {
;;当前发生交易时的评价时间
8 g% x9 h: l0 ylocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
! C, o, m1 Q% l* z' ]0 k2 Htrade-times-total: E# m+ o$ Y- v
;;与当前turtle的交易总次数
0 x. C2 M1 e( Z: ktrade-money-total
, ?+ _, ~+ t+ h( a0 {, D;;与当前turtle的交易总金额
: T. p9 W5 [/ flocal-reputation
, T3 l9 Q/ n4 yglobal-reputation1 ~) L( c- q* {2 @
credibility
; e0 K2 X3 \7 p3 O! m;;评价可信度,每次交易后都需要更新8 Q1 Q7 p) b' X1 q
credibility-all0 ^0 d, K. B/ S6 y9 G
;;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! s5 P. T( r0 k9 S4 Y1 g1 }. ^4 d6 a
; R- j5 T6 Q) I6 s" G) }. l;;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0.56 G" i) K3 _( ~3 c( T
credibility-one
( F5 C* C6 c1 i' |;;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/ N3 [9 K' O9 |
global-proportion) i# D: g4 Y) Y- z2 _
customer/ F- E# N( i$ e& P
customer-no0 A& L) |' U5 o, c
trust-ok( H' o+ A. q! U
trade-record-one-len;;trade-record-one的长度
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4 B$ g$ M6 @2 ~- Z# P: S& x' v _;;setup procedure: w( W/ K T/ E' P9 p
+ Y# Q' H, P, z0 H, |
to setup
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+ T% W! q7 w$ w0 D# U% Sca
: U% l& g& i; |; D" K1 g) N( r1 @% y% j* c+ j: ]( O$ R) r& @/ R6 b y( j
initialize-settings
$ ^" w9 R+ c+ i
; c- h5 g' O) n0 R0 _crt people [setup-turtles]6 C8 l4 B) X0 {8 H' w' n
9 ]" k1 R% w/ O j
reset-timer
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4 p% ]- J2 C8 w; s, Ipoll-class. r, b2 h/ ^ f* o# l( n
+ m9 b. }! P" }6 X* j
setup-plots, U; w* r$ i3 }& \- w( p% R$ {# a
i& G, c1 F3 b: L0 v8 e( g4 |" odo-plots
1 F! Q5 M& l# c4 F Xend9 }; D; ?) K' j% J8 X$ M5 N
. L1 L! a3 U( M- J: h7 R5 tto initialize-settings, w* l/ x U9 F) Z8 v
4 m5 L6 t5 F: W* s! V, B; z4 Dset global-reputation-list []0 J0 o. D% f2 H& F# |$ _
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set credibility-list n-values people [0.5]+ Y' S6 T: a$ m2 v! r6 O# x
0 {3 D2 p9 `) E# l- _0 M$ _! _set honest-service 0
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) m& G- P% X, U9 P1 Gset unhonest-service 0+ ?$ K6 v! `: c& ~+ g) Y
- R, m% o( R2 ?+ d
set oscillation 0
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5 p9 Z$ B* G4 A+ t0 tset rand-dynamic 0
9 A M, r% M% bend E/ b# i f4 v& r! O5 S
: m9 r! v C( P. X6 L* `to setup-turtles
$ U9 w/ q: `3 V4 d! ?- v' P5 y. b9 Cset shape "person"
1 B( {; \) T9 b- }- _) Usetxy random-xcor random-ycor8 V$ a: B7 V7 Y- E/ @# B9 v6 w
set trade-record-one []9 S3 ]5 a, f5 e. [) j, `/ b8 O" R
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set trade-record-all n-values people [(list (? + 1) 0 0)] 1 d; h( c+ S: u0 C% J
1 I ?. J$ h& t" [8 u) R* I6 |+ gset trade-record-current []7 u# ]/ K3 U0 f5 ]* D, `
set credibility-receive []- \- Q$ s# V5 J1 ^; N \% B
set local-reputation 0.5+ g1 T$ I8 H3 o- H2 p7 t
set neighbor-total 0: [! c: U# s/ @7 S. I
set trade-times-total 0
2 q! q% A- x0 U8 f- I! n6 Wset trade-money-total 0% f- v$ ?# Y* O3 ?
set customer nobody/ D5 Q7 b: d3 @( p& S. {6 P, b
set credibility-all n-values people [creat-credibility]- x/ U/ d! C: x0 A( [8 D
set credibility n-values people [-1]
5 o/ R& ?! o7 R" Oget-color, V0 m3 C5 Y$ I4 y2 h' G
8 y8 \/ z+ b) h3 V; ]end0 V( X& ]: l5 y+ V' `
e1 d, o: h+ Kto-report creat-credibility7 Z1 k, }5 Q+ ^' Y
report n-values people [0.5]' ]( C. _% H8 p& b" n, k3 G
end
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to setup-plots
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- c# h" V& |* P0 A) k! K A6 eset xmax 30/ m$ y4 k/ ?; m9 @. r3 n# N3 A
5 l% F, f! g0 C. ?9 I4 e! p9 }set ymax 1.0
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clear-all-plots7 A9 G1 F/ U+ x5 b/ G
( Y" N# S4 c' {( j1 r& O7 c5 Msetup-plot1
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' }" B" _7 q' e0 ^9 w" Y) U+ rsetup-plot2, {1 l" s2 J: Q4 c+ t* ]% w) O
G8 B# J/ d# }4 A# ^9 [! bsetup-plot3 g1 l+ _; {- R$ j9 F+ |
end' W( T# F& ]* F) `- C
* D, Z; i$ _: V7 D5 C4 ?5 J;;run time procedures
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8 Y3 t3 `- F" w9 C4 Sto go4 ?6 M/ p3 R: o. Z" G1 h
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ask turtles [do-business]5 V* y' _% J" t, P% o* t
end
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! b3 a" L& s( _. @to do-business - ~: P# c& P8 Y! o, h4 m$ Q
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; p2 p V, m8 z: H0 b, y, @4 Krt random 3609 o6 P, }# m/ k( |8 }+ V
& o3 A9 i5 k! x5 ~. z6 H, cfd 1$ v! ~# ?* c f$ w* A! R9 z2 R
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ifelse(other turtles-here != nobody)[
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8 Q+ @0 ^/ k0 A7 ^$ oset customer one-of other turtles-here! Z" ~5 m2 j8 D% g1 h# s& T* Z
8 X, s8 I- W/ m+ }3 e/ j3 ~2 b;; set [customer] of customer myself0 _/ {9 {# L' I) Z- G" C
* s p: p' X: g8 Z0 w( Y6 E. G% g. E
set [trade-record-one] of self item (([who] of customer) - 1)
' W! H* x7 ]/ G) F5 _[trade-record-all]of self( e& K* C: i" n3 z' W& Z3 _* M6 [2 a
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self4 b, R) x6 D8 ]) ~) N
$ g# }' i) }' ?3 j4 i( _; n! Gset [trade-record-one] of customer item (([who] of self) - 1)! |8 b9 w& N1 F3 ^( ?
[trade-record-all]of customer3 e z" X1 | N+ L
- V) n( F3 r9 a6 X2 xset [trade-record-one-len] of self length [trade-record-one] of self, ]+ s4 W3 i7 |9 y' X3 K
: @- A) ~) t0 {3 }7 M) aset trade-record-current( list (timer) (random money-upper-limit))( p0 O6 G. v& L3 \1 I
1 L8 C5 C/ _- F( ~ask self [do-trust]
1 l0 X1 m! n5 A( w3 o;;先求i对j的信任度/ G8 f+ J8 Y! O' t- y
- X( @- l# w- O/ l5 R9 E& o) Zif ([trust-ok] of self)
; R. T2 A$ l% x- E% X$ E;;根据i对j的信任度来决定是否与j进行交易[2 x+ e, o2 c. m; l/ K* ?; ^
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself O& x5 n. ^8 o- u. S( G5 [0 r" ^
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[
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do-trade
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$ k! |: i4 s0 ^! W! x0 S0 d. gupdate-credibility-ijl+ E7 P! t" X6 ]$ x/ ~# O+ W, X
( {/ I% K" P6 S8 u* zupdate-credibility-list, T( g/ y& `' N: r! R
9 _, D# V4 s$ R, O7 T' o( L, p
8 ~" V6 b! D4 `0 }update-global-reputation-list
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/ D/ w4 K2 v9 @9 spoll-class7 Z( @" A$ v8 a9 v4 z
. ^" u$ j8 z7 k+ Rget-color
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# y1 P+ i/ ?8 L# S8 A]]6 O( c) Z4 W. M. K
$ b2 O* E. P* ^+ ~' U' K
;;如果所得的信任度满足条件,则进行交易5 i4 V+ w p; j6 ]1 m; `1 V
# Z* H$ z1 C/ I5 B[
5 T% f1 Q% A4 w
) J: U8 p% N- C G+ e& Zrt random 360/ |$ [% \% d% k# A- d; C$ \2 Z
( I! L/ Y1 c- gfd 1
4 v8 @4 @9 B! ~) h
% n% ], X% e4 E5 D. ?& p" u]
& \( T1 i" ], ~( @* [7 j+ n% a* A6 {# v
end5 o$ u, i; y- X2 D" m8 e; @6 C
' f F- ~1 ~7 x8 D/ L+ s2 rto do-trust 8 u! `- \+ u2 R: o; u2 l$ I
set trust-ok False3 c% [. ] l* t z S
* [$ L, R$ E8 w6 I
" v1 P# ] H6 ?" dlet max-trade-times 0
; ?- W8 j7 M5 _" q1 jforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]2 w0 y$ v7 K! A6 m" t
let max-trade-money 0
; t4 a7 ?# P5 X' ^1 e# Gforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
$ b- T. n* d. y. B+ N& h3 ~let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
0 l; u7 e7 s' d5 Y
7 u/ o/ R& j) _8 m' C. u$ U( f. `8 W
get-global-proportion: |: Q/ j+ ?9 t% |. K+ p( f1 Z+ I
let trust-value
- N# |% J8 c; _7 ^9 }9 B! jlocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)) b3 z/ d+ u1 E: K
if(trust-value > trade-trust-value)6 ~" E7 \& a6 z y0 o' Z4 l
[set trust-ok true]
; s; B/ S/ s% N2 Qend4 _$ Z6 \& O3 S9 c
/ m) @( M7 z: p8 U1 V$ [* dto get-global-proportion
& @6 p3 g4 S4 sifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
8 U* |' |% \5 n" Q9 `0 A! |* f4 k[set global-proportion 0]
. k$ ?0 t1 E# }7 r3 v4 Z6 B[let i 0
& I% R/ J0 X. K2 d' E( flet sum-money 00 q; R" @# P. M: f" I+ t
while[ i < people]/ ~5 R+ F4 _6 n1 d
[+ s, x+ m O8 \ x9 [ `
if( length (item i
) S8 h4 V2 V) L9 l[trade-record-all] of customer) > 3 )+ O1 m9 s5 k! y- j& [4 }
[4 [5 `' t6 j! K8 X
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))0 R+ ~( ]- d+ w
]
5 d) h. H) e p- Z]
# n; u7 S- U5 e) [: S% ylet j 0
) j) D6 ]& O+ G+ p7 ^% Alet note 0
7 _4 U$ V* l6 |! i- v Z9 V" nwhile[ j < people]
# m0 J' c, d/ ?$ x3 Q( W3 t[" \" ]. s9 t, b1 }% s
if( length (item i
7 @) ^( p- }$ f( p[trade-record-all] of customer) > 3 )
1 U$ k& o( c' K3 Z) k+ s[
3 k7 q. d2 ^5 F! o1 Mifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
5 F7 ^9 n7 ]: h( S9 c[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
1 j5 ~" }& U: b6 ?3 p8 `$ c[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]) i, S0 N6 I: K" w! ^: e
]
7 L& N |& b( B% i]
. m9 D) ~/ R: A0 Y8 M5 Lset global-proportion note# g" A$ m) J9 X$ }! x0 W- w* I
]" h, x3 Y, S# u! z
end5 j. A) _3 O: Z; q& N6 g5 Q! b
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to do-trade& [" p1 B& L) j, S) h! d" z
;;这个过程实际上是给双方作出评价的过程& E& u" n/ A( w
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价- Y0 X! x( g! {- a- h& L
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
+ J! [2 F! |% q; Dset trade-record-current lput(timer) trade-record-current, }( s# G% L( G* a2 b
;;评价时间
' M# j' r+ P6 S/ Lask myself [
, R s" h: w; q* h' Q! Zupdate-local-reputation! F: c7 d0 e: C! b+ R
set trade-record-current lput([local-reputation] of myself) trade-record-current
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set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
$ x7 J/ }2 O. e% X( S, X9 n;;将此次交易的记录加入到trade-record-one中
4 \% L( D. }4 D: [$ Wset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
% J' E& y" g! R! o. S0 z5 C) slet note (item 2 trade-record-current )
" E h7 F/ Q; V6 r/ R1 Jset trade-record-current2 C3 W7 ]' k- e L X. V- ^0 ~
(replace-item 2 trade-record-current (item 3 trade-record-current))
% w g/ t: K* j) }$ c8 `set trade-record-current
" ]! u# K) }& g' n: g, ](replace-item 3 trade-record-current note)
& ~# A4 ~0 c4 n: [
$ `' D- @5 S4 ~, e! e3 q5 _& m% M
ask customer [
$ {. f( e5 W0 @update-local-reputation
, F/ n. W9 N1 u; {set trade-record-current
2 P: P0 `& n9 I! i1 r, ~% O(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) 5 T& `" V' ~/ R3 I; z5 A f1 }3 ?$ b1 v9 }
]
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( u" v( x0 i* ]2 P* s) {: s
4 B8 N# W* F# C$ ?; J1 `' \7 }0 Yset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer: K8 ?+ @) |0 g7 @6 ~9 T. L* Z |' P! K
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set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))- L1 Y1 t4 k! A5 k8 A
;;将此次交易的记录加入到customer的trade-record-all中$ V+ w7 C* N+ Q t
end. ]7 ^/ U& j& E0 q. t j" }+ G
$ d0 i' ~% o1 M% {# A. ?1 x* k
to update-local-reputation; z- M% [- a; B' x
set [trade-record-one-len] of myself length [trade-record-one] of myself, T. q! y" Q9 ^' q+ X! o3 x( e
h# {2 w) }% ~, y" {! p b* W# c) o4 j* H
;;if [trade-record-one-len] of myself > 3 0 n5 I! D" Z* X; b
update-neighbor-total
/ L8 c/ l; z. v+ I) o;;更新邻居节点的数目,在此进行5 A8 E: E6 `( z! _
let i 3
4 O) l7 [# G( K: ]/ |' G- G# n" \let sum-time 0
. Z5 k7 p4 |, W' M1 twhile[i < [trade-record-one-len] of myself]1 ]3 T/ u6 M- i4 [4 F+ A
[/ A) g; c* U/ s, A3 n
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )5 q" J; [" m% u
set i! j+ D0 M% k7 o0 |7 t ]# F% C! r
( i + 1)
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let j 3$ Y- A' }! q: o: |. `" \) d
let sum-money 0
% i# B& [. r% M, Twhile[j < [trade-record-one-len] of myself]
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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)& d# n+ Z- @& `; P+ J# {) o
set j
6 z/ R) V5 X/ @6 o+ j1 w5 V( j + 1), G t. O1 z- _; y6 t
]* i' T- d% T- F0 j4 R, K. b7 J
let k 3
! _' G0 H2 ~) R, J0 O& flet power 0
* p8 b6 s; G8 A+ O9 hlet local 0 ^: M# a: @# r7 f+ e* r* e& ^. i
while [k <[trade-record-one-len] of myself]9 Z; F+ R' s& a0 ~" `* l
[$ i0 s) G6 m$ G' q3 n
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)
* g0 W V1 T* n9 [. D: Bset k (k + 1)
9 \* m8 P2 K" _$ o/ y4 l( [0 s]- |4 q0 ] {. Z5 q2 e2 O
set [local-reputation] of myself (local)) V" a/ u8 z; A/ V! r# U5 p
end
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to update-neighbor-total) R5 y+ \7 Y- R8 T
5 W% C; ^2 }$ z1 P8 W& ]if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
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7 C- ]) f% k% m9 m1 q' |3 i7 E* T! o- X; T5 U& P$ b, F
end
1 ~, W; `* q8 H$ P9 Z/ g4 t# C# B3 ]" \: s. T, k- b M
to update-credibility-ijl ( }6 _5 i& l. T+ Z. @5 W, k
8 r2 h, j# C1 f* A: R) y;;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。
* _/ h' M- H- a9 C1 Clet l 0: s) m( I4 L/ V8 i4 E
while[ l < people ]! V) @9 h/ s* L5 r. [! @+ D: j6 m; L5 l
;;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& x1 [! Z, I2 O7 `: i# D- {* |8 \8 |
[
& s. Y8 I6 B# Slet trade-record-one-j-l-len length item l ([trade-record-all] of customer)
) ~( z' I# e/ G6 b- Q$ Mif (trade-record-one-j-l-len > 3)
/ B. n {9 C6 X' a t[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
! e D+ e2 _- R+ O- e$ y3 D$ Z! Mlet i 3$ n% Y$ R% d; ~, ^( P; q$ J/ V' _
let sum-time 0
2 r+ U/ ^) _7 t9 @& Awhile[i < trade-record-one-len]
4 h; s7 [% R! Y1 Z7 m! K[
7 l7 C7 K9 g# w- `3 }' b! Q$ Uset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )* r8 L! u7 F! n2 ]* t1 m8 Z
set i: w: p# q+ I N) d
( i + 1)
% A% Y7 |( x( h& L]8 a) o' e# ~6 C9 \2 f& y
let credibility-i-j-l 0; A. ^9 L9 A) w0 l2 @4 N
;;i评价(j对jl的评价)0 K7 o; V7 u2 R" s& R8 X
let j 3
5 |' V0 ^! ?0 i0 y* R4 c* v/ Plet k 40 l- A# ^3 e) F/ S, y N" K2 a
while[j < trade-record-one-len]4 U* u+ \; V* P7 J. K% U
[
4 d7 T9 N6 c* R& y1 T+ V* C) b$ Iwhile [((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
; n# w( @9 D+ y2 `8 A" Aset 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+ n8 P. p3 w4 J$ {6 Q
set j* A. ~. V& k$ @) G# s
( j + 1)
7 ~+ _$ ^. A8 U) \9 @" {- E/ Y* P]2 l5 F- f! A* T
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 ))3 V) K. m& D' \8 B
: X* H6 l- J/ | {" }/ ~
1 m2 o) v# A% @' c7 }
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
/ \1 c) i4 n4 Z; H2 b; B;;及时更新i对l的评价质量的评价
5 B/ B) x* L7 N Pset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
6 X/ B6 K2 E% d( ]- L1 L$ xset l (l + 1)
- D$ x8 Q8 B+ t0 ?! G( f5 x3 K]8 p: R0 u4 i7 [: V* ]' g3 ^
end V5 B) [7 [8 ^
. p `/ e3 v. E0 G. {6 e
to update-credibility-list; q" V5 e& h% X1 M4 G( M, t
let i 0
# o, @" b$ d' R2 p+ Dwhile[i < people]
0 n% V3 [, \. `# {0 R- w[+ l( G+ F$ @0 u1 t# r5 T. z, j9 [2 f/ K
let j 0
- ]1 { m, {" I4 jlet note 0. l% |0 ^% Z j0 I# x
let k 0
/ y' Y1 L+ k; ^/ |, p;;计作出过评价的邻居节点的数目9 R; j1 G- ^6 g! s# N
while[j < people]
9 n9 E) M5 X% K; \7 V% h [[/ u% x5 I& s1 ]7 ~
if (item j( [credibility] of turtle (i + 1)) != -1)4 h1 n; @8 r1 s
;;判断是否给本turtle的评价质量做出过评价的节点
9 Z' y6 E: Z6 E: W[set note (note + item j ([credibility]of turtle (i + 1)))# j" |. Y7 B {4 ]( ~& l" J
;;*(exp (-(people - 2)))/(people - 2))]
/ i" s J9 w {set k (k + 1)9 j c: x% [* {+ c, b# i( p
]
2 @- O; i* K1 I" R4 ^ {. Zset j (j + 1)/ |0 {" L8 e: J; |, F
]
) `+ U" C! \( bset note (note *(exp (- (1 / k)))/ k): C" M: {% A5 k1 p* @2 m4 E( m
set credibility-list (replace-item i credibility-list note)
) k$ g& f5 P# `( I* T: vset i (i + 1)+ Y3 u7 h4 w# i+ _/ @* q; c5 M% r2 c
]1 m; y) K* Y" ^+ N: U$ h! x m
end1 Q% D% \* X, V' C4 j* z
% K# n8 v1 V2 B$ }/ {to update-global-reputation-list
. U/ n7 R$ v) S8 Z. \let j 00 ^% U) v9 m" U
while[j < people]9 y9 N7 t& Q7 c
[- o8 e; V' I* t( C
let new 0, U& Z$ t" t9 t1 ]2 Z
;;暂存新的一个全局声誉; s/ q) [% w& I' G7 B
let i 0
+ e' c: Q! m5 _7 E, `* r4 vlet sum-money 08 m2 V8 Y- x4 U% B3 }2 h9 C
let credibility-money 0" P/ r! z- T2 ?1 V1 S) x e& F
while [i < people]" n; P$ B6 {: J
[
' i' x0 V9 A. [0 I' | }! {8 } Mset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
% k7 c$ _% f* P" Q3 aset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
) H# d' @# k y8 @set i (i + 1)# _/ {8 O* N6 Q; c3 Z
]; ~) S j; k0 J0 Q) g, H! G. O0 H5 x
let k 06 P2 w9 Z! m5 G
let new1 01 P* x6 S$ A" d
while [k < people]$ ]# j C- `4 k. d) W
[7 F0 ]* m/ n O7 ]
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)3 y. f4 b7 b* {& H$ A! ]& M: _
set k (k + 1)
/ s9 D6 g2 x9 r6 t- G]. o z3 c8 T# y2 ]9 \
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
/ W6 n7 r" } w4 J' Dset global-reputation-list (replace-item j global-reputation-list new)
. ~, J1 s2 b; w: q( l! Jset j (j + 1)
2 A! B A$ ~; U2 |2 S( ^6 B]2 O: r+ C/ w- g* t
end
5 U3 R: ]# @/ P+ [3 g: z
+ g2 u" \9 v$ z& g7 h; a
+ k, o. L, u7 p* m# U9 p$ c+ s5 J7 {# v; b( K
to get-color
3 @: c9 S/ x3 H0 ?4 h1 L
. ?! X' H- I5 M! a( @& v$ dset color blue. U; e: o2 C) a" H
end2 c" z7 @& T6 Z; ?: v# r3 E! R# J% l
2 h9 N* g" l7 cto poll-class
& z& D; P. p( B6 Yend6 C4 Q' O9 a% `7 [5 e
; e" O/ X5 b& [9 ]' ato setup-plot17 J) z2 J* w; @+ j
! s+ {9 t! M0 Q( N. V; S7 d# bset-current-plot "Trends-of-Local-reputation"+ `, Q2 h$ E9 u+ T8 k9 T, r
* [/ f9 n/ H4 f) I; g1 h. Z
set-plot-x-range 0 xmax# P! B. x$ z7 Y) ~+ v
8 k# L- E" @, `8 ^
set-plot-y-range 0.0 ymax
/ `. A7 q/ N" A1 P; p! aend
5 Q M f- K- L! n% @. [2 R
2 R" h& ]* B: g$ ~9 _3 c' @6 @7 Nto setup-plot2
' }! Y1 P( k' w" h
& h' N7 ~3 n& ~set-current-plot "Trends-of-global-reputation"
7 ^% n0 s7 g* f- o4 X% ^+ a* p* o8 r, Z/ W- \; Q2 e, O
set-plot-x-range 0 xmax
) g `$ R/ \1 O6 l# Z8 ~+ L- V
, Q6 n, L+ x( yset-plot-y-range 0.0 ymax) [, I- l2 l; s6 Q; ?7 J* v$ Q) {7 i
end
3 x" ]1 a5 l- o3 i% m( a4 h* o# y3 c8 `; j* v \1 B. i% i
to setup-plot3: ^. e1 R4 ^7 K* Z7 i
( `* M. B; o5 M/ }& L& e5 Gset-current-plot "Trends-of-credibility". L' s+ H5 E8 n1 v( K3 N
, I# Z# C: z' D0 e: y
set-plot-x-range 0 xmax
% f( t" K7 T" ]& b- F8 b _& H- N5 P
set-plot-y-range 0.0 ymax Q2 a$ X9 d' b# k% P/ @
end" |% G8 k4 B% W/ ^2 S' E( B
) q: [. k9 N/ R/ Jto do-plots
1 o4 w8 }6 p6 o4 H5 Fset-current-plot "Trends-of-Local-reputation"
; @5 I9 u4 h, w2 F8 kset-current-plot-pen "Honest service": X! \ x1 y* \& n. M3 q" `; B7 ~
end+ i4 ^- r3 ]# S& m7 W3 x9 z7 B
; w$ F- h! R0 r* U9 w5 I E9 v
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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