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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8 x3 L- U5 V" i- L7 H; O, y
globals[
5 Y1 Q* R+ `" qxmax
( m- w+ P2 i' I# |% vymax
5 y# k( E7 D. c5 a4 W- l f+ fglobal-reputation-list7 s) U c8 G9 s. o# o- ?, i
3 L M* d( L& y8 {
;;每一个turtle的全局声誉都存在此LIST中) n! w! M. X( @. t0 T7 p
credibility-list
. I! G( B; F9 T5 C;;每一个turtle的评价可信度
/ m) l! F3 N& y# p! J: f. i/ F# ~honest-service
7 i2 \- g$ L/ C9 R8 \# V5 u: Qunhonest-service$ L& C# g3 H+ I% v4 r) a0 i q
oscillation
( F L4 W# y$ F3 Brand-dynamic
^& w$ B. t7 L8 x6 `! l4 @]
( r& v# ?; y$ G r V0 y- U6 q& N$ R
turtles-own[
; {3 {% j `9 j, btrade-record-all( e$ ~% a* T( s
;;a list of lists,由trade-record-one组成7 [' r! ^% v. F6 S; w
trade-record-one
/ w6 c6 \7 I, V& } i0 q;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录0 o: m! N" U4 d* r. A
2 i$ s/ H. ]3 u
;;[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]]" K# W% i( w3 b) x- B6 j
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]2 E5 W* ?& k, {7 F
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list7 |' c9 h: t( V1 O( K l
neighbor-total9 L; V1 K- H% v
;;记录该turtle的邻居节点的数目8 ~7 P& R. M$ W0 t
trade-time
! ^' R+ p( ` u8 X; q2 X;;当前发生交易的turtle的交易时间$ r+ j$ N6 P3 P
appraise-give$ L; w4 Q; A8 B" X% H) x, j
;;当前发生交易时给出的评价( a; q: k) U1 x6 J
appraise-receive+ b: ?/ b6 `) v* p
;;当前发生交易时收到的评价/ V- i* N; r% Z$ W& k9 }+ i# M
appraise-time
' p+ g6 d4 {" Z6 |0 ` c4 m: Q;;当前发生交易时的评价时间- q) _8 Q" l! I+ X
local-reputation-now;;此次交易后相对于对方turtle的局部声誉
: Q( ^# a: g4 {6 w% B+ J3 Ctrade-times-total4 V0 l5 _8 C3 N/ `, }8 k5 g4 H
;;与当前turtle的交易总次数9 l B" e) J9 R5 s
trade-money-total
; Z, E |- W3 c: M2 Z( W+ I s;;与当前turtle的交易总金额
$ {3 C5 q" K+ _9 \local-reputation
+ Z" J$ t6 }8 u5 P3 eglobal-reputation% X# N; R9 W: u: M( }' K
credibility" m" R% r, L, K6 K: R" O S
;;评价可信度,每次交易后都需要更新
0 J$ k. E% J% H4 N1 Rcredibility-all. I: w6 o( o$ S- ]/ U5 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 h+ o8 L9 C: |
9 z8 n2 g! q4 E
;;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, {+ h( a; k Y6 N5 ]: C9 ^8 j
credibility-one4 Z: W4 Z! A, 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+ |' w* J% K C" h6 _; f* h0 P
global-proportion
+ Z: i: i/ x; s( Fcustomer
: ]6 q0 c8 y( K' G; }+ Hcustomer-no
, {" ]7 G3 a# t% Wtrust-ok$ p% Y% Q% Y# I7 Q" W* n
trade-record-one-len;;trade-record-one的长度
% M2 R5 L& H" O" Q1 d. N* z]
: z3 X# j: ?/ t. y* [- C
6 }6 Z+ o4 `0 ]9 }$ g8 U;;setup procedure6 N4 a2 q" U% u U" A
% z( V1 a, G c9 e& Z4 U! N
to setup
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L3 Z: m Q K0 Vca
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initialize-settings
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0 X/ A2 m( v% m9 v; L% rcrt people [setup-turtles]3 x0 `+ i: H6 g
! V! Y9 [3 t4 i0 vreset-timer) X2 d4 X- m N( a5 A, i. E
( z! o7 D1 H9 u" v: B# e- g( Z
poll-class8 Y1 t9 p2 s" S- @3 D, u
! O; [- V4 B3 ] V I; b) rsetup-plots! n/ |) N* G5 N2 ]
/ x; a) Z f" }0 [
do-plots! u7 y+ B, _+ H' g
end3 S$ D- |+ c% }3 i
: |* d" F& ?/ [- `. v% Wto initialize-settings! c, x, k6 D( l8 z z! k
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set global-reputation-list []# T; e: Q T" q& ~9 S. i# P+ t% E
/ Z, @8 u2 s3 W, Pset credibility-list n-values people [0.5]
1 V; [/ E9 | s4 h( l
1 K1 u2 L4 H3 f9 Hset honest-service 0
/ j2 f! f, b0 g3 o9 A6 m3 ]* j
' b6 m& C, v. g4 aset unhonest-service 0
: n: I9 L: O: \1 g6 m2 {3 q! J4 ?/ P$ y
set oscillation 0
/ I4 W) Q2 p& @/ c/ W8 F l
! i; w$ x3 l t7 n. \8 `set rand-dynamic 0
8 F! Q5 b- |, D& A2 dend
4 j9 W) ], N' K/ D2 G5 J9 |1 b; n$ H* I7 r" @8 _' {/ y
to setup-turtles
$ H# [6 U {. q4 t7 X% U: kset shape "person"3 {% ?$ w+ g& o; e
setxy random-xcor random-ycor) W5 w- |( a( t. U- l' F
set trade-record-one []( S/ U2 H# z1 T$ m1 F) E
1 o) Z: E/ F7 u* D
set trade-record-all n-values people [(list (? + 1) 0 0)] 1 I3 y w0 H, k: T
* l( N9 x5 W% ^1 `
set trade-record-current []
. l9 C7 w* M% g8 a8 u/ Qset credibility-receive []! Z7 ]0 o/ {& d) k/ ]
set local-reputation 0.57 U/ O: N% V/ u2 L& q3 V, A; _
set neighbor-total 04 Y$ @; g) Y& z9 ~
set trade-times-total 0
: L- j, j5 i. y3 a, B) ]- v% Xset trade-money-total 0
4 x: c% s9 K3 H/ Pset customer nobody
& N- T3 y8 [9 N5 \& ^* X! \set credibility-all n-values people [creat-credibility]
# H" i, r7 }- X7 s Aset credibility n-values people [-1]
6 Y7 ?; ^8 o6 Q. G7 @, qget-color
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end
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to-report creat-credibility# z' x7 o7 W9 f
report n-values people [0.5]
8 T2 V* o, O6 \/ h% U6 iend
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1 O2 P3 X& i$ Z7 E0 Vto setup-plots: t5 C ?- x2 b. T1 s+ c
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set xmax 30' Q! V2 L$ u1 y q3 C
5 E1 w) i+ E7 P f" d) z2 Fset ymax 1.0 V, h& t) |4 l* U) k
! j1 w( } I: h$ v
clear-all-plots# ?. l; g U, D" v8 }# g
, Y7 a, X; m, E; O+ g1 }setup-plot10 j I: q6 ]+ F0 n z
' ]. H4 Y# L; X! Zsetup-plot24 u: c# @* U' R9 H0 Q% y8 O% s
8 W9 L" ?- g( o& ^% S% ]setup-plot3
4 W# h! t1 ?$ H/ ~ Tend8 A2 q. @" u9 x7 C
& N( r+ j$ Q7 z3 R& z;;run time procedures. A+ F1 q4 ?% `% Z A2 ^
% y$ n! G9 s, D% L, a
to go* ]2 k/ x- c- z( R: n" b$ ^: E
" m% q9 o" l# R( {* {3 O6 @ask turtles [do-business]$ w0 b+ ?+ c4 O1 ]4 g
end; L% H* z( c; o4 k+ X) N% x* W
/ C) E# r9 X% I* y! Yto do-business
' T" W8 o D; Q6 c7 f2 C+ e& j6 \ w+ |. L6 Q8 T5 W9 z7 z
2 o B4 T( c5 \4 a9 r3 u# x2 @
rt random 360
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7 p. g* w% u% Gfd 1
) [* G4 n$ M/ h# {& `5 h2 n: D+ u4 N% p# ]
ifelse(other turtles-here != nobody)[% ?3 \, E- c. Z& H: r4 K
' U+ B2 X' \8 L% h1 w" ], sset customer one-of other turtles-here
X2 r1 n A& A
& M5 |- N) c2 j$ }; } L;; set [customer] of customer myself( O& G) r# F# U: |1 B
4 f1 X5 h) U1 c/ `. m+ @9 N7 ^set [trade-record-one] of self item (([who] of customer) - 1)
7 m# C: o9 h9 Y: \9 i[trade-record-all]of self2 y" ?2 w- G5 B4 v& p$ U
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
& x8 c2 k5 ~0 T9 x2 U
0 n" j' b7 d. W @- c. U. }set [trade-record-one] of customer item (([who] of self) - 1)
: ^8 j' c6 c" w% M: z[trade-record-all]of customer
' d `3 m% `- e5 C& J% Y& P
6 p9 F$ A. ]$ F; ?: {, S9 mset [trade-record-one-len] of self length [trade-record-one] of self" y" L z5 G+ E+ Y5 R8 W1 p) f
) o: \6 @% M& n) I8 T# @- z, l: Bset trade-record-current( list (timer) (random money-upper-limit))
+ u, Q( q: B. r. z# x. R2 p0 M7 y# E1 W' c! R0 I
ask self [do-trust]6 U1 n6 D$ o0 B, N6 L% C; d
;;先求i对j的信任度8 w: V! v" A( E) _( o1 D- d
0 ^4 m9 t: v+ `
if ([trust-ok] of self)7 J6 }; \- m+ B+ l: K( k4 `, Q
;;根据i对j的信任度来决定是否与j进行交易[1 V! V. f% ^+ ~* `
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself7 `" x) N p5 w
! H- g2 v$ r* X; h! x' _
[
, ~) N J9 u0 [0 f/ G |5 A' @+ ~3 b: t2 e/ ^' D# K
do-trade2 I: V* N/ y$ m: a v
) [, y/ U7 M. Q% h) Cupdate-credibility-ijl
; }9 t9 N/ c3 l7 `1 |
6 Q( i3 C. n! E; @- Z: l8 Oupdate-credibility-list
4 {; G% c; F- v6 h% c1 f0 }) j* ~& q+ N* ]- e$ p2 P3 n- z! c5 _
: r' B5 V. d7 M0 u7 T+ S& C
update-global-reputation-list. i' e3 o' V- I$ t. l/ u' ~
$ p: i7 v# \! upoll-class
s1 h9 k* ^& C; r! B i
4 A/ ^, O# m. c# tget-color
* k3 w0 T/ a$ B, m8 ~7 E$ \' K) u! q4 Q
]], t; b; l3 }' \- F9 T( }* Q: e/ t
: q; R! {$ m" v5 }1 R;;如果所得的信任度满足条件,则进行交易5 ]9 E$ Q8 u( J+ t+ x
3 O4 o0 y+ T" j: i1 p; I: N# C: Z9 J$ @) A
[! t1 ~4 Y+ E0 {8 Y3 k" j+ x) a
9 }4 A) t q$ |
rt random 360" a' x: G" _% m( `6 u/ W
$ I6 m% C- z8 R3 J- X; U. P
fd 1
4 g, {0 c, T4 t6 O
2 `7 W: ?7 w8 [* B! _, _4 i& y]
0 q6 O8 ^6 h' r' U( O4 f% l" E1 R% M4 C2 {4 G% h0 Z( i
end9 ^8 ^4 j. `% j
2 D2 }) J3 y7 g# @! ?
to do-trust
, f; S/ K* H; W, s. Gset trust-ok False
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let max-trade-times 05 V+ j$ r: R, Q% D
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
( s" M+ Y e6 u# Plet max-trade-money 0
5 ^/ }$ G W! zforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
, U' t ]$ \* Hlet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
; J" w& o0 r5 `0 s
0 t( Z# C5 q8 N5 M8 V2 b+ n/ K6 s
8 X5 n7 j% u* z; P x9 u% ~get-global-proportion' y) m1 m, O0 u2 t) X$ o
let trust-value
: i8 v1 b ~) o2 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)* t( ?0 T& W, ?0 H, ]8 e
if(trust-value > trade-trust-value)1 t4 ]# _7 A' U2 K0 U( A9 {
[set trust-ok true]0 o ^6 l* X+ W0 E: H
end3 Q! n* d1 L: \6 w( }
$ |+ n: C% B7 N' a9 [) y
to get-global-proportion/ k2 Y8 L1 J# r# [! I# x
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
- s* ]6 j" ]3 H `; C" m( h[set global-proportion 0]
$ o2 p" f4 W3 n! q[let i 0, R0 j2 b! j( {
let sum-money 0
4 e8 E+ q# I2 n1 B3 F9 uwhile[ i < people]/ h% m3 h# q& a( G2 d/ S
[
* b8 e% I0 h% ^if( length (item i8 D1 l0 |$ L! X: {9 Z4 X* A3 u9 y5 e
[trade-record-all] of customer) > 3 )' ]% \( Z( K% ~* k
[
. Y) P# x! J. {0 @4 G8 Q' iset sum-money (sum-money + item 2(item i [trade-record-all] of myself))& k9 l, N# S! ]0 T" I! o( W
]$ Y5 m8 q) Q8 [
]
* r. _3 l8 B1 j& e7 ^* H8 Z% Ulet j 0* D, v* ]+ a0 M i
let note 0
6 ]+ M9 F6 G$ D9 r: pwhile[ j < people]
5 ^9 _( [6 l9 k% c[. ?" [; L, ^* F3 `
if( length (item i" h1 o0 D& ^ `3 A% d4 R/ p
[trade-record-all] of customer) > 3 )
6 L+ I" M! _0 [[
/ P. e! [/ \# B8 N% @% c ~. C% bifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)( m. q* S: x. C7 b( q0 ]
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
. X9 t! G, T7 U" N- Q# {[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]% ?. S0 _% W* d
] C: L( n0 B) _" r
]
' u# `0 q5 Z: x! pset global-proportion note; V- w( g' X0 t, }0 B0 t$ l+ A1 t9 X
]2 y: X0 x% D: b1 o
end8 E4 | u# L3 l+ C( R4 h1 P
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to do-trade5 K" w7 h& i8 P5 M* ?1 u
;;这个过程实际上是给双方作出评价的过程
( h6 h2 i- S- M* E; Mset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
! y. m6 t8 ^- mset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价 g5 I5 }8 r; X
set trade-record-current lput(timer) trade-record-current }) \" c' p* G2 U* X; U2 V
;;评价时间% D# j) B) E' e( r- T. e9 c
ask myself [' W3 J f1 A1 ^- \1 c9 ]& c
update-local-reputation0 D$ K+ B, y) J1 W9 r# ?, f5 A5 Z
set trade-record-current lput([local-reputation] of myself) trade-record-current! I; [" S4 e4 [5 O9 [% E; |
] {* Q) L9 M0 S& n; v
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself$ |8 l2 k r k8 D% ]+ y) X% @
;;将此次交易的记录加入到trade-record-one中
0 d2 {# L+ I3 k2 l9 Fset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)2 o7 e u* N$ h. _1 @4 I
let note (item 2 trade-record-current )( }! y( g4 N8 h9 S9 `7 Q
set trade-record-current, u. f6 k3 l8 a) p6 G( C- [3 b
(replace-item 2 trade-record-current (item 3 trade-record-current))
3 e e" r: k+ ]5 z5 D Y: mset trade-record-current O& a$ [& X' K1 \
(replace-item 3 trade-record-current note)
8 F1 e, O& x- i/ E8 I v! a' M
) d" @2 f$ z6 o' u: U
2 k( |2 a- ^$ |) Sask customer [
( V6 J7 |* z! z4 G: o+ \5 hupdate-local-reputation' k! [+ n+ P# w1 A
set trade-record-current
- D% r0 w; N M! W0 j(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) 3 b Y, ?0 t G% Q
]
2 G5 v, w7 @$ j; {
, _: w. k/ V: p# G1 D
: r/ @: `1 l# ^9 nset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer5 n2 y$ M8 j* X
. T6 g! I4 R% z& D. \set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
( O$ W6 H! [+ c8 ^8 }1 D0 G0 g6 o, G;;将此次交易的记录加入到customer的trade-record-all中
/ r% F5 M' b4 N Qend
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+ e. ~& x$ Y; y! h0 r, c4 \, m3 c! ato update-local-reputation
5 ^) f r8 _' e9 b! l$ }set [trade-record-one-len] of myself length [trade-record-one] of myself
0 }" d$ z! j) s. V
0 R; W9 j, d: A0 T/ a& G& U7 d6 n/ W
+ g" K6 a; m8 A B# r, U( Q* m;;if [trade-record-one-len] of myself > 3 1 x3 C- B+ m2 U+ x' v
update-neighbor-total
7 R& d( \* r7 I1 H;;更新邻居节点的数目,在此进行
+ g! n% f7 [0 q2 Olet i 3/ `0 H+ k+ L. D, ]0 `3 X
let sum-time 0( W# L+ {" w/ w. H5 l; U& L
while[i < [trade-record-one-len] of myself]' W) m: c; W5 p# x
[
% H+ L% A. m8 Y# Sset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
0 x* d. a& x6 `set i
( S8 v+ ]5 D8 ?2 Y( i + 1)5 ]9 X7 q! E: i
]
- B+ ~% b* P% |! o" e( _let j 3" l& `+ q$ U. `( I
let sum-money 0
' C+ Z5 T# [7 B P0 [: Qwhile[j < [trade-record-one-len] of myself]
, h2 O, c1 m+ v( a[. S0 d1 d" v- i7 h& j) K; v
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)
7 }1 N8 P& m% w/ \set j
) k& `0 r ]8 y& }, t2 D" p* [* U( j + 1)
) R- x! I9 X. L6 b0 H5 _]
) b+ s3 U }7 d7 Y8 Tlet k 3
3 ~! h& X6 y, B9 _let power 0
5 Q8 _5 P% D* }) p3 @let local 0
" Z x4 a1 w6 A+ @) `, B# l: M, [while [k <[trade-record-one-len] of myself]) |' |: S& e3 k; W; G: i/ l
[
3 E3 p# n9 |: H$ o/ l }, 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) & z J+ S* H$ I
set k (k + 1)
& U) ] \" H C]! j l8 c& q$ U1 }+ q: Y
set [local-reputation] of myself (local)
! [& v% m: W# M6 q) Q1 Pend
$ X# c7 v. g/ C# v o# l- F7 o- O8 K8 u/ Z# B& v) S7 Q
to update-neighbor-total2 p: i4 H6 G8 d2 W& z* A* }
- y" H! a% A- V6 Sif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]3 ?* D1 \- C! h: ^5 X
3 u. e3 Q" E0 ^
; O5 y6 |8 U5 {; b& Y) o" Rend
. m/ \" A9 }( R
: G! ]$ O; e7 {, O0 W" z. Cto update-credibility-ijl 2 m$ s( t! H0 n6 ^8 @
# ~5 [3 E' I' K- s
;;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。3 b0 }- o3 ]! N( i$ ]+ W
let l 0
8 A" @/ n) v* e5 K/ x3 E8 f4 Awhile[ l < people ]: ^8 i: `5 {& ^4 _- E) j
;;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: y9 ~6 t6 p+ E' A* y7 W
[
! [& O) B3 h+ o0 @4 hlet trade-record-one-j-l-len length item l ([trade-record-all] of customer)- R/ P# O* F6 ^: e4 ~/ K2 J* r, C
if (trade-record-one-j-l-len > 3)1 Q6 C3 O/ \: k* @! x# k. D5 y
[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
5 a0 @9 S, b4 ulet i 3
, n0 \5 E" ~* m. Z& a5 vlet sum-time 0
* u* F: I/ q5 F$ Q5 f& Awhile[i < trade-record-one-len]( l' T" y7 x, B! N2 \$ Y2 t% c& y6 S
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set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) ); f) ?" S# G/ t/ a
set i
) I+ g! _4 J% F( i + 1)
2 m* i5 M' @. {]
0 X7 U$ x, P; F% Ilet credibility-i-j-l 0
/ K: u/ ^+ D, [6 v/ L( e! u;;i评价(j对jl的评价)
9 l, V1 {. m; V8 }let j 3 c8 c/ _3 q' S1 m9 k
let k 4% W2 R3 I( z+ S5 h
while[j < trade-record-one-len]
* O* D m( g; T' `[
$ K4 p* r3 ~: S) gwhile [((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
) R8 h$ i A1 j) Y8 ?& }% |: }! U0 yset 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)# y& E8 ~& U, ~4 k( L/ |: q
set j2 c& ?; N2 i' D' F4 h
( j + 1)% A+ D. x, R+ O4 E: d5 U- m
]8 C' ~9 W, \7 g) g; v( U3 }: y! Y* 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 )); P2 D0 u* U) y; R9 I2 ?/ ^! H
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let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
, D8 D) }) U4 D( v, Y4 I- \;;及时更新i对l的评价质量的评价
, h+ o- D7 T- F' O6 I7 sset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
4 X8 o% E# @* ?5 u, S! N X% Dset l (l + 1)
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" P! E3 o- m- a5 |" I6 M7 d. t+ Lend8 O, J$ B& s# f" A4 i
% r1 f1 \& U6 S6 a q9 l8 R& cto update-credibility-list
$ R( h5 r5 [0 j4 Z; w. v# `let i 0
9 h J/ y) ]+ Mwhile[i < people]9 {+ o+ K! X7 |& H: n
[) E4 k" l' w4 p6 f4 L) N
let j 0
7 v% o1 k3 }! F" f# H4 g8 [let note 0
% n# I7 b" N6 _9 t* T9 ~let k 0
5 ]( O4 M+ ^% x! B" G;;计作出过评价的邻居节点的数目/ s( s, c4 q4 M$ y \( R$ s
while[j < people]
p9 ?0 I$ c' G0 ?[
- d; a% [; ?2 E6 e5 u- I" H: T2 Kif (item j( [credibility] of turtle (i + 1)) != -1)8 a8 ^# E! Z8 ~1 L6 g
;;判断是否给本turtle的评价质量做出过评价的节点 j6 @" Q$ ~5 F2 y
[set note (note + item j ([credibility]of turtle (i + 1)))
+ ^% g8 r, t _( A) z;;*(exp (-(people - 2)))/(people - 2))]$ z8 |7 D7 |( [4 w. G) O9 j0 d
set k (k + 1)
9 o, q2 k! F, v- D]
8 B f: N: p2 x$ I# c. K! ~/ b- [set j (j + 1)( t: O) D n9 ^+ |
]# I; A6 m- P9 N5 J) |5 k2 }. z$ h
set note (note *(exp (- (1 / k)))/ k)# X. I. }; A3 `) x# S C8 D* _9 D! f2 C
set credibility-list (replace-item i credibility-list note)4 X+ e' H0 m7 a: G, ]# v: t2 K
set i (i + 1)
& K2 t1 e$ n& G0 Y7 k]9 {$ @ G2 I1 T" N% [' F/ W& i
end1 A+ o, D6 |9 v! [' K- @
3 ^5 d* m1 G' u6 f; |9 ]* Cto update-global-reputation-list" \" {9 f5 Q1 I# U
let j 00 |. Z+ d. n! ?
while[j < people]
' g+ R) k$ E/ T1 j/ I7 V+ \9 H[
V1 x2 N6 p* p5 z8 Dlet new 0" _3 q8 ~# V) z: z) l5 S
;;暂存新的一个全局声誉$ h, y; W4 `5 q
let i 0: `! F$ v& V c! F2 W6 p; x1 `3 `
let sum-money 0
' w. g7 c! R5 D( _" Z" P7 Vlet credibility-money 0
: }/ ^) I" o( [+ xwhile [i < people]! i7 J1 f$ c' Y* {' o5 Y% @
[
9 u* @! O9 w ` O. H% O8 t( Eset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))/ e9 T+ X. I+ j5 f
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
& E2 u0 v' w- q" pset i (i + 1)
( {: B% ~) r% L- R# \9 z]
) t+ G4 V8 B ?3 c. ?& |: ]let k 0
( [2 M: d0 S- _4 ]1 qlet new1 0
! i) Q7 p2 _/ r$ f+ E* Q% Swhile [k < people]' x1 n, H& H. ^+ m7 p
[
& E0 {% N6 t1 l4 ?( H6 Kset 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+ m5 s
set k (k + 1): l1 Q0 o5 y+ |- x
]
, W9 r' p) O1 A8 f7 ^# ^$ m. [set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) % }7 a. G4 e7 U* d! X
set global-reputation-list (replace-item j global-reputation-list new)" n2 M, `( Y3 {, X: _: e4 w9 q* o
set j (j + 1)
3 ]0 I+ T# P, ]4 g9 \]! F1 y0 U+ z3 Q6 T& q; ]
end
, G, T4 e$ `: ]8 R
0 K! G% v3 X& \; C/ h$ h$ E! K4 c
: ~" k* Y* h0 O/ g3 lto get-color
( p, z3 m) c" g& L+ b
& z, [% U0 H3 }, K: v! O+ }3 Cset color blue
* O# j2 M: g0 u( g! Q' l7 Iend) f& T) O* g6 B# Z2 t6 M
" e' c+ p: Z2 m; B7 dto poll-class; S; f4 N. x% i& w4 V! X# n
end' e4 D* O! M) p$ T2 B
5 b# ?6 g' ^2 [- A' Xto setup-plot1. C& Y9 ^) U8 H7 [$ ?
% P' S9 n$ a% T; ?
set-current-plot "Trends-of-Local-reputation"
Z; Q- S( j; G1 ? N" w2 d$ e* ~' u9 u4 |
set-plot-x-range 0 xmax
/ Q9 U; b% i5 P$ c4 _4 H2 @% B; P
3 k$ r8 E8 n5 k# E9 Hset-plot-y-range 0.0 ymax; L6 ^; @7 L; G4 @
end
2 Y5 u' c" L# n) T+ _: H4 U* C- x$ a+ R
to setup-plot2* ~6 Z0 ~+ g* n' o8 J
6 P0 {$ L7 c: t" Z7 l: Mset-current-plot "Trends-of-global-reputation"4 u. D/ {. P: r/ p! D1 t
( f: B( ~0 D- F9 G) s+ Aset-plot-x-range 0 xmax
2 w! Z$ ]! Q/ D9 e
; r6 Y8 y, u# c b1 j6 _! |set-plot-y-range 0.0 ymax
" z9 Y" y- B+ ~! A- I0 F" f& Mend1 M0 l/ I" B: J1 q5 {
: `+ M5 H" V# H0 ~, ]8 X" t
to setup-plot36 V2 H: B5 |' O6 n1 U+ T
3 i& q) u# b$ g% ?- eset-current-plot "Trends-of-credibility"9 B9 _0 L% l! X( N. C% s
* y! D, X u2 H* G v" B
set-plot-x-range 0 xmax9 A2 ]6 ]% I1 ^1 Z
4 V( P% n: ]! ^4 b* @! ]
set-plot-y-range 0.0 ymax
9 }) q+ l2 g/ ^( E( ]end
* L5 S3 W7 ]0 u+ n* X$ z) @9 P, b: e& a5 w3 j6 ?
to do-plots
) c! @" u/ V, k2 a1 @4 M3 jset-current-plot "Trends-of-Local-reputation"4 d/ y8 Y0 D7 q0 D
set-current-plot-pen "Honest service"+ T. w) b* l6 l5 o6 Y
end
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- f) a) q6 e! r% I[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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