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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% o4 w7 \# J* L1 I; o8 L5 X7 m# w
globals[' Z: e; G( H3 o3 u( M- i
xmax0 r" g6 Q7 P! }$ `4 _
ymax) [' Y5 ]$ H; e& X$ k( \' R
global-reputation-list) [6 g6 b, m/ u% {( a3 }. C1 T
/ ]) {) Q3 V1 r;;每一个turtle的全局声誉都存在此LIST中
* ~. ~/ {, K/ W6 U9 Gcredibility-list6 ^# r# W2 D+ B: h T" B
;;每一个turtle的评价可信度
; i- U" f4 l% T" Y6 g$ z* J6 S1 @honest-service; q" J4 `4 n8 H* f' N, h
unhonest-service5 {: b8 c3 O3 o( E
oscillation
" V( T7 U0 U* j; c* n- f; Y. U3 Crand-dynamic9 O7 s+ q- _3 w; ^
]
6 I3 m% G0 B! k( j0 Q* D% @! }) R
8 B6 ^* q* R2 cturtles-own[
- S, I! ^: c6 Z! E8 A- F! X& ytrade-record-all
. s0 o. h" O+ \, e' k) ~# C2 {;;a list of lists,由trade-record-one组成$ \$ t" R/ d0 n7 Q! J
trade-record-one5 X+ j# }# F) N5 L, u2 v7 A$ r
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录+ E. ~" G1 `7 n+ i
1 f3 \# ~5 V4 s4 d
;;[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]]
# e1 t0 z+ J- F3 S" u) _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( [: J& E
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
* s% K1 }. [/ ^+ R' w5 b& \, Oneighbor-total# o5 j2 G+ ]* r3 o7 Y/ r
;;记录该turtle的邻居节点的数目
. d9 q( n5 h& Ttrade-time
& W2 Q) i$ ~9 G, J;;当前发生交易的turtle的交易时间5 ]8 l# l6 Y8 _6 Y6 Y
appraise-give n. C9 u: P! N8 Q3 u
;;当前发生交易时给出的评价# |8 r; B a4 P- _
appraise-receive7 L" V. p! X; r( N
;;当前发生交易时收到的评价; L0 Q, h J+ G" V: d, T
appraise-time
6 V7 H. V) Y) ?;;当前发生交易时的评价时间
% ^, B2 \( u% s9 c: r, `8 Dlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉2 X2 f# A4 k' b3 x% l
trade-times-total
" h4 I6 I% ]1 U;;与当前turtle的交易总次数5 R; |- Q. ?4 S+ ^+ M
trade-money-total
0 ?( J& n. H6 u, j5 F" }" U;;与当前turtle的交易总金额
' i- p; R9 k: U1 w8 }local-reputation, F. Z4 E. j9 m1 ^9 r
global-reputation- b9 O2 [: `$ Z5 @: s9 {% o
credibility3 x, l/ i3 |2 _- c
;;评价可信度,每次交易后都需要更新3 f$ `2 ?+ m/ ?0 p2 u) v
credibility-all
6 _6 ~& U; e. N' A;;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
8 m0 _- c' R a& O
, m8 S! n6 v8 B8 p9 G4 v+ G;;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0.52 X) x! t" H; ~% X& m
credibility-one
2 _& p6 c9 V6 [6 Y;;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
/ r: N9 q x' X9 m$ h- m! K* mglobal-proportion5 ^+ h2 M, B7 e
customer
8 Y, ^+ x/ V3 G# {% fcustomer-no/ @! x; X7 ^4 {. V
trust-ok+ K o7 c8 G. d4 P% @. O
trade-record-one-len;;trade-record-one的长度
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6 t# E- a, O0 ^/ s) B% W6 k2 u;;setup procedure
/ n& z3 c2 V6 W0 Y0 E) Q2 @ c( U# r7 P
to setup
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ca3 r6 i* J9 `" N
! R6 z9 J# h5 W+ G2 }- Pinitialize-settings! C! {* q3 z1 V
: J0 \% U' V( z
crt people [setup-turtles]
9 e. v' u. A# Q3 d
3 X% v; ~) a9 }, O" Y% }reset-timer0 s7 @: w: k7 m/ x/ n9 G
' b/ A* i; N- L) v9 M" Xpoll-class3 |: K8 l! u1 @6 |3 t, O9 r `
+ d: t" A' r2 `* Z" s7 n9 rsetup-plots+ H( T/ m& j: s1 Y# M5 R" |
3 p" g& s: L( y, c
do-plots
7 w7 k9 V4 l: k k" Send# r% l D' D: S! L [
+ C7 a9 a' j; q2 k2 G' ]
to initialize-settings( Y) N* S- ^3 X- \% n
- ^# ?- N- E5 L2 o1 F1 q8 K* T5 Cset global-reputation-list []# e; N2 F. w3 ^% K T
; {, d" ~: ?" m1 o" P
set credibility-list n-values people [0.5]2 ~: ^3 s% l |8 b0 F
$ a; B& W7 U. K6 e
set honest-service 07 O: P- E2 }# |7 a- k- g
: A7 ~' l2 P3 x- F+ N
set unhonest-service 0
/ r' i6 w5 ]' F ]# g0 m5 r4 }, V W
C# @% o j2 T; e, ~4 N# ]- X+ }3 X7 ~set oscillation 0
9 \$ Q* G! T, X! n w, A4 p
2 j. [3 T7 ?% k* [+ iset rand-dynamic 08 [' `" U+ \! c8 E& g+ O
end9 X8 b% q' b" p
7 Y& }$ ~( P/ B) [8 H( _5 m
to setup-turtles 0 p6 F/ M" V. K& @8 J
set shape "person": W3 m! _: _- M& w! q8 l( i
setxy random-xcor random-ycor. M4 z0 t% f* r1 H. i
set trade-record-one []
# `) j2 A* E/ ]4 f% \! q8 o8 \% B. E/ C1 l6 I7 K
set trade-record-all n-values people [(list (? + 1) 0 0)] 8 J4 \0 Z$ ]+ z% |3 T3 d9 }; G
+ A% Q2 ?7 U# d ~/ V
set trade-record-current []- _' l2 Q; \ d: X
set credibility-receive []2 C9 D* `/ x( m( O: ]8 |/ y
set local-reputation 0.58 I$ }9 ]3 G) I$ ?$ n& V- t- d
set neighbor-total 0+ u! A+ z4 |4 m3 v- L
set trade-times-total 0
. u, n: [3 ~/ A8 l, G7 Mset trade-money-total 02 P% N) ^9 { T0 V
set customer nobody ^+ Y, G. k& [$ j2 j1 C0 i
set credibility-all n-values people [creat-credibility]% d8 Z C( w4 X- v# g
set credibility n-values people [-1]8 b, c& P* D3 v$ H$ a. k2 N) w! s
get-color
9 [% E- R1 h4 X0 f/ _4 s: r/ A0 r0 x1 J4 M4 b+ C1 m# h( j
end
- d7 l' Q9 B9 `' d2 }3 V: u2 ]5 O" ~. t' ]
to-report creat-credibility
3 {9 ^1 @. i0 d! I! {9 m) nreport n-values people [0.5] p$ P5 R6 \8 |4 s' C+ u" q! @
end
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' g, E5 U$ g ]$ S, T! zto setup-plots" p/ D* u7 B$ |+ W1 T
$ @9 c! B( U, ~& zset xmax 307 H. z* a5 a1 x' ~
( P. \% k- W6 d k( d! h
set ymax 1.03 e) A! j2 M, i) K2 x% p6 b5 _
0 L1 ]2 ~* v3 O+ F) Y
clear-all-plots
$ }" i8 h3 B5 m2 M' v) G* \9 W2 D- ]5 y1 l' H7 ~5 H. j
setup-plot1
2 c/ S- ^5 n- [ c3 f6 j+ M9 c: |
setup-plot2
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% Y0 e: C' r8 g: I2 esetup-plot3
! W9 E: O: P/ lend
* Z1 Q F# O# \3 H$ ^ p3 j* H9 [& {4 V
;;run time procedures
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; e: f8 d4 h0 d' g! Eto go# L3 n% A* O3 ~5 i0 K
/ \) D- b2 O/ x# a6 z* h* Fask turtles [do-business]
1 v, \: X. N9 G+ E3 j, Gend& b. x6 A; w1 { \/ Y5 E
! S( w2 J7 \& { q3 r! H$ m8 T+ [
to do-business
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% \4 |$ ~1 v# {) Z" o) F8 c8 z0 r3 Y) | o: Y6 E |) a
rt random 360# M0 N( K- k% y1 b! Y5 N0 Q
( R5 [ E* g! P( @5 Z: nfd 15 R" h r8 K0 t
) C! Z8 \( c* Zifelse(other turtles-here != nobody)[
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set customer one-of other turtles-here
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;; set [customer] of customer myself
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0 l8 ], P( G, t7 x5 @set [trade-record-one] of self item (([who] of customer) - 1)
2 o2 x6 V. A( Q0 z" G[trade-record-all]of self* w: g( I! w& r* Y2 L! b3 b
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
! i- s, c8 q1 ]1 o0 b' K& N, K+ z( k* x4 B- U4 ]: M
set [trade-record-one] of customer item (([who] of self) - 1)
7 e, j$ O' m: D6 O0 g' I+ f[trade-record-all]of customer
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set [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))+ ?8 u& ?* Y6 O8 y, d% h; H
2 c8 A, x" q$ c0 i; A/ Q
ask self [do-trust]' [$ q, G# N. |! D. G
;;先求i对j的信任度2 W: z- R- U0 o4 \6 T
, i6 a) r S9 H2 q r
if ([trust-ok] of self)
7 J+ @- ~% g/ l9 O;;根据i对j的信任度来决定是否与j进行交易[
, D; K8 @# V: L, oask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself6 y% `% j, _8 ~! v. q
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do-trade
6 V3 |. c, } e, U0 ~( r! s
9 s$ P$ y, J4 dupdate-credibility-ijl: W2 S' V. Y1 p* E4 d# d$ Z
6 J; A* [/ v" t* h/ e7 o( N% Jupdate-credibility-list2 L: B1 u/ H8 E/ ?- H5 ?6 r
y5 l4 ^% B" Z0 i
* K" H3 K2 l3 |update-global-reputation-list/ u4 Q5 |9 R, x5 p4 a
9 {6 W7 @# W4 }; Y2 @
poll-class
) } _4 c/ J9 L; E8 {- q9 [1 }
get-color6 e( g3 ]7 W9 T" @1 r
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]]. l. J( ^6 a- Y+ {' s. A( j+ r
. Y! X- `+ i: \4 s* T
;;如果所得的信任度满足条件,则进行交易
3 y0 o" l/ ^* e1 a- \! m9 Y& {3 X8 @) ?- P1 k# M, A2 ?, K
[* h2 n5 r* Q4 e7 H6 g6 G4 J
- u' ^# _2 u4 G! w1 X7 T; P& crt random 3606 h s# v9 N7 |( Z# P$ n
7 ^/ I) H7 G) \2 N; R/ Q1 j6 h) h
fd 1; s! I, d* l: A5 k# P
& A& s7 G7 f; ~' ]9 n
]
# P0 u. J7 r$ P/ T( @5 Z
, |2 z/ j, p" Y! S+ s* Iend
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to do-trust
! K6 W! {- V. a$ eset trust-ok False
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3 D" p, ~+ E* }& `* g
let max-trade-times 0% X! ?% N8 m3 h( b
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]3 U0 ?5 V9 H9 f4 x6 B: |; g
let max-trade-money 0
5 ~; }. S/ ~' L, Q' x* jforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]+ M& o0 E, t( I, n8 p0 W5 D
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
$ O b# T% v6 Y, Q( F. S
K8 a: K( M- i! G2 [5 c' T. s9 l+ y: z6 G1 W L
get-global-proportion' J, O. N% |. [8 s8 [
let trust-value
6 }5 f; z$ Z& x$ Q+ ^& Ylocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
$ E; h( q4 H( {6 R% C" I( L! N! {if(trust-value > trade-trust-value)8 x. J& |; s/ H
[set trust-ok true]
8 p7 f) ~) F# e: Q! Uend5 X+ k- y$ o# g2 R# t* i( ]( P
. x* ]. d2 z) x& n' _6 U7 z
to get-global-proportion
/ o+ f6 z/ L5 L$ @' Jifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)) p) \% B, [! w- z% G
[set global-proportion 0]
4 I( P5 J6 J* F9 h* N" s[let i 01 v* l% D/ u* R- ^8 w
let sum-money 0
% i8 N' u: c) t) d. ? X6 |% u5 V3 Uwhile[ i < people]
! }( P* g8 h" ^' e3 [$ ]& ~; @! L; H[
! {5 c5 x1 @2 w! Lif( length (item i& h7 N: E# B# H7 h( B! V
[trade-record-all] of customer) > 3 )( t- z# U3 r9 q
[/ ?4 B* `1 ^! }% V) ^
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
/ I$ C# E# V, o0 H]
$ n6 G' [/ h1 j]
1 R' `2 _4 [' K6 l7 _8 l. ~$ ^6 ]let j 0
; U: H C, A! x7 |) vlet note 0
' Y. ~* J; r( H- r. B) y5 m9 vwhile[ j < people]
1 j1 `/ o. o/ R( o- D[
* {5 d6 c& s% J ]) k8 sif( length (item i
6 b$ m D6 N5 _' R( S) e% `[trade-record-all] of customer) > 3 )
3 s( X& I4 Q, y6 n) w[9 _- _7 l& i4 I9 U W' p3 s
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)+ |, }# L* U; N- N2 D& i( |
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]) {) N2 N; G+ Z ]. I
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
0 l) q$ v3 `% Q1 V" E]6 ?' X1 _# H8 H5 _+ X- S
]1 p1 R1 p* N% k5 S+ d* y2 b
set global-proportion note
) J0 \! C7 Y& s* k( J1 f0 Y- K]2 N2 m V9 j; g0 q' ?
end& ~; h$ P& h; z" Z& Z
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to do-trade. p; C- m% i& _, P% T
;;这个过程实际上是给双方作出评价的过程
0 @- M( t& _' ~! R) F2 b- k5 cset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价9 n+ r. m/ w2 I. y" f. ]
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价- j1 I$ p# H2 a1 C" H
set trade-record-current lput(timer) trade-record-current
8 F1 n5 u! U e/ r3 m;;评价时间7 G; ^' j3 o. A3 i7 H0 R
ask myself [1 G9 F3 q% m, n I
update-local-reputation
% Q$ a, b, ^- u) H$ Aset trade-record-current lput([local-reputation] of myself) trade-record-current5 i( _6 q( e6 S& A4 P, A
]
2 v' h+ m+ ]$ B0 T- S, L/ Zset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
2 y X$ H* i% T: g; K& _; p;;将此次交易的记录加入到trade-record-one中# h& V: `8 F7 m7 i- s: k
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)9 _. L$ c5 ?4 q/ ?/ R
let note (item 2 trade-record-current )0 m4 w E0 h: Y. I/ D
set trade-record-current. \7 b( I, ^! H2 \# W5 b
(replace-item 2 trade-record-current (item 3 trade-record-current))
. z# n4 D- A$ J& H: vset trade-record-current+ v, a+ b+ U+ A4 y% a; e9 p: x
(replace-item 3 trade-record-current note)/ {. l- [5 z( {+ F7 b
( {# ~/ |4 ?" o6 @: z: x0 k( ^5 a
9 Z- }% }, r0 ~ g8 I& sask customer [. p# \3 {2 R5 {, m( k8 y5 e
update-local-reputation
3 e# U& D: t% l9 u2 Yset trade-record-current
+ I. y. d3 h3 O+ }# ]9 X, n# E(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) ' ~& [* T' o2 b& f8 E/ k5 X4 B
]
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! j3 M Y/ _2 R! Z. M7 x
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
$ R. G6 q2 k- a, e% j, |( z U3 `+ y
, W6 q! H$ r0 l9 A; eset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
- D7 |- r# ?5 u& q( @;;将此次交易的记录加入到customer的trade-record-all中
3 L, N! a& S( bend- F! v( k: P& `: i. v
$ v# R8 C m; `0 p+ z8 Pto update-local-reputation
" r) j0 s/ k% e1 O! U( E7 |7 R" e% ~set [trade-record-one-len] of myself length [trade-record-one] of myself
7 }0 o2 ^+ @7 c: |6 ^7 |0 r: V) V0 i6 c
: T- J4 j5 u( r' m9 _/ w/ P; ~;;if [trade-record-one-len] of myself > 3 2 d% m. n; N) g$ J: L. ?5 S
update-neighbor-total2 x1 q+ O: A) k( W* U
;;更新邻居节点的数目,在此进行
( q! C$ |: x- m3 b" Klet i 3+ b. ^! `! C! U5 R7 f
let sum-time 0
- z8 g4 `7 c+ t! F& z- x8 G- R: uwhile[i < [trade-record-one-len] of myself]
, m8 b" C; @- U7 F[
4 o( A6 {8 g' cset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )! ~ _* s) l+ M! z! O, H' |3 E
set i4 W' d6 q/ ]* M# W
( i + 1)
6 t3 F2 h( i# H2 P) ]: g3 p]
0 ~1 S5 W+ W, h+ hlet j 3
+ b& b* Z6 S5 u Clet sum-money 0' N4 c% ^2 V- T: B7 q
while[j < [trade-record-one-len] of myself]- z- e0 {8 c' e/ o7 b2 N! t( k$ Q5 @
[
: [2 j& F0 i! t5 y7 U8 f+ p; vset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
3 }0 T( F4 f. ?8 K# xset j+ s$ J# x7 E {; Z
( j + 1)
% ]3 A5 q( K7 @9 o9 b4 i; P1 v]% T1 h! X3 Q* E! x1 Q" J
let k 3
& x. c w3 b& c2 |/ ulet power 0# I8 m8 [& n- N6 @9 `# u$ J
let local 0
4 G* P0 R" i; o: _# {# k: y( Awhile [k <[trade-record-one-len] of myself]; ? W5 `0 ~7 f6 p: w
[
7 \6 i5 B$ Q$ o. z, v* uset 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) ! M E5 ]. y- A$ n4 i7 \3 B# C
set k (k + 1); q/ X; q5 C. s
]8 w2 f" @- e- o8 \8 {: X
set [local-reputation] of myself (local)* ~0 i7 R4 U+ ?* J3 ]; m. T
end: _5 Y$ F; }% p6 a
* [$ F9 }" m qto update-neighbor-total
5 x6 ?3 d5 m, d3 ^4 b4 I. j
' J, u! e. _% eif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
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; Y. \ Z) V6 S4 g, W
! j" @* w% `& m( E0 lend
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1 `) L, @/ T" j0 R# O, L6 qto update-credibility-ijl 7 T% ]; S# ^: J/ N# @% T
6 i2 j# Y7 v, F% ~, W5 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。
- u$ B; x0 G" v% k. \let l 0
! Q: ]! @) G' C. Qwhile[ l < people ]
2 H. N2 _ O9 W- R;;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. [( a4 v' f. V" n& _/ `! A
[. x; Y% O. \& j! A
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
& k& ?: H: }$ C" l( @( e+ jif (trade-record-one-j-l-len > 3)
! D, T% t. l) |' H% r$ o8 C1 G- X[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-one6 \& C( ?1 P1 T8 o! ? M
let i 34 V1 \( U: _8 s8 A- J K" k
let sum-time 0
9 v7 e& a- M3 |+ j! v$ ~0 twhile[i < trade-record-one-len]
$ a8 B; L0 c# u% R; ^' e4 P[
9 {; A% w: p! C( z4 gset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) ), `: X: G ^, b9 w
set i: Y- S: M7 l# I+ S
( i + 1)
: M9 |5 l7 c( j3 }]( O0 D+ W& C$ {1 h2 j2 M& ^
let credibility-i-j-l 0! b5 w3 V% ?9 ^, a9 M6 h
;;i评价(j对jl的评价)" y. _& w% \: D# \; a* f
let j 3
5 |5 }# n- W1 J0 |let k 4* M) Q$ |7 ?- A
while[j < trade-record-one-len]
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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( U( _! B% Q6 p. P4 W* n4 S- F
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)4 l7 o/ V9 m7 X/ z" m
set j, [; U% r& O; d
( j + 1)$ @3 }8 v l" P, M1 X4 n8 ?
]3 N" | x: F5 ~, p% J
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 ))
# @ C) N. E. R3 p( @+ e& E6 ]0 M$ t9 Q# m0 k( A! R
0 O" |2 L+ x" M9 [. Y4 _0 u7 T
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
3 y. a: d) L3 H h/ z/ {;;及时更新i对l的评价质量的评价9 Z& C( c9 g2 k: i: a. V
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
0 j+ K% }, i0 _1 V& I9 Mset l (l + 1)
9 ~5 M; M" B' Q# L( F]
9 T! S: a( T% G4 iend6 W7 F! H3 R; E8 Z6 X
, D8 u& `( }3 G* ?to update-credibility-list
* z: A+ l q: ^3 Z3 L, t1 Ilet i 0
& A( g7 ~. ~- H! ?; Vwhile[i < people]
5 X& G; Z0 ?/ ]3 p' I" l9 J[: b% K" [3 u9 `) t+ }, G4 x- _
let j 0
Z3 _( g3 `+ o, d$ q" H i- m+ \let note 0
, O B- n" h8 j& u, i0 j+ Vlet k 0
, J( k. h8 a( v' s;;计作出过评价的邻居节点的数目
6 m/ a3 P6 w4 V: |! X2 u) ~3 w3 R" Iwhile[j < people]( N+ O, c( R! A5 I; Y8 y( V
[$ I4 X7 I s4 s8 Y
if (item j( [credibility] of turtle (i + 1)) != -1)+ _& d- f" e: s! B* q! }
;;判断是否给本turtle的评价质量做出过评价的节点& ?/ Q/ d8 F) L7 E
[set note (note + item j ([credibility]of turtle (i + 1)))
8 t$ D0 }6 P- X( u;;*(exp (-(people - 2)))/(people - 2))]
. A0 p- N N1 z" E `set k (k + 1). `: r6 @- ^; l; K
]: g2 S& e: R6 b% c+ U0 Y
set j (j + 1)
$ q/ e5 E% M8 b+ w- M# }], A2 O" w8 x; m3 C& G5 A
set note (note *(exp (- (1 / k)))/ k)7 ^+ h5 n, M/ [- H/ Q- a3 v5 Z* c
set credibility-list (replace-item i credibility-list note)
7 h0 t" X" Q4 xset i (i + 1)
6 m4 e( ^6 z* J2 ^* Y, c- j; C]. c) _7 L. n& C- ]; ?
end1 @( F0 ^0 ]4 \9 ]: o
2 J# v2 d+ ]* n! l5 Hto update-global-reputation-list
& V, q$ A" K6 } q. Xlet j 0# Z2 k5 l2 y/ }# y9 y
while[j < people]
5 e" z. |: t/ V% x[. e" g1 u9 ]" j- k+ r
let new 02 P1 w7 S0 d- P% G' c6 P; t5 |0 q
;;暂存新的一个全局声誉
8 i6 ]* |* a( }) @6 d: U! Hlet i 05 {9 {0 }! r: s1 w7 B5 N
let sum-money 0
/ _! `/ r& l' C: Klet credibility-money 04 R3 b' ^! f8 Q$ l& X
while [i < people]
* |( B+ ?& r) g: H[" m3 Z, f, {" U8 U
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))( S) Z( y/ j( r9 K% F2 Z# h
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
, Q' c# m# H {! I3 D5 W( }2 lset i (i + 1)
( X9 F+ h! F" Z! P. x+ d6 h* []
/ K8 @& a% t; L& Ilet k 0% h, |- D( o; i+ i6 a0 n5 B: _
let new1 0
( t- G) `6 e! x7 [, v4 jwhile [k < people]
2 R' f1 l! U3 Z( l0 l: W- B* i[
% d: ?1 e {5 x. T9 Pset 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)* W5 |4 o7 l9 Z/ I' o7 u# }
set k (k + 1)
! D: [" C( \, v; m" r2 D% F9 x]
& c8 s1 z% u1 [1 p: ^set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
" E+ @+ ~& M% \9 A Nset global-reputation-list (replace-item j global-reputation-list new)4 @% W; t: ^8 ~" ]5 P( Y+ p7 C
set j (j + 1)1 q8 E7 [! Y; A) r
]+ P$ }5 o2 N' u+ \6 l0 u
end0 B' y$ K! h/ |! x% t
v8 G3 y1 V' O* e7 R' G6 D3 U, \0 u
5 V( z5 n3 q, l; b4 U! s" v
' p; U5 R- a' P5 q9 N
to get-color2 h+ [& D. b$ X7 k
) f9 M6 R; ^3 q+ e( j$ zset color blue
- }" Q( e; ^/ v- tend) U- |1 f& w/ ~* I: p
m; q/ c( S+ q6 H; o; i. r
to poll-class h/ g, z0 O5 ~6 b
end" X# Y' J1 v1 g! m- Q; A- n# R
8 m- B9 O R6 f4 T! H7 C
to setup-plot11 P+ Q: a- T- o5 Q
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set-current-plot "Trends-of-Local-reputation"
* `7 Z+ b, d: ~( t
$ P0 _8 W8 j4 y- M: Zset-plot-x-range 0 xmax
H4 _5 y8 G' _4 | M- }/ C; Q4 `5 p; r5 I( G, i, e
set-plot-y-range 0.0 ymax5 S( q8 b- O1 D6 @
end t0 d7 c [. a& u& [
# N1 ?8 z1 ]7 K. Bto setup-plot24 J4 d6 ?+ _+ r, @
1 J9 C! Q5 d" X
set-current-plot "Trends-of-global-reputation"
* M- u0 S% [, v U( Y8 H: l g0 I+ h6 ?
set-plot-x-range 0 xmax+ S9 \5 ~- ^% z3 k, T: _5 M& s
' M* {, y) F7 U2 c7 Eset-plot-y-range 0.0 ymax
% c% R/ F- W- ?# Qend
$ x0 ]. e" G2 q/ d/ h! s4 w
6 Y, L6 o1 Y- }) Q! q+ qto setup-plot3+ s9 h' K4 f. l
4 c3 Y2 z7 u% ]set-current-plot "Trends-of-credibility"- y9 ^% A' S" g5 O) X
, W1 x3 f& H6 _1 l# g4 s; ~set-plot-x-range 0 xmax
) K- h$ e" A! U$ o* y) V' ]! N* ^0 U) _ C" B* ]! `
set-plot-y-range 0.0 ymax0 S0 |. p/ q' x u9 }
end- i2 D- J/ C R; o5 `2 k
4 ^5 G; }) K& b9 U7 }
to do-plots' B6 U* y( g. L; g
set-current-plot "Trends-of-Local-reputation"
$ u+ [5 c/ f3 P6 x$ n& w' ^) U9 }1 Mset-current-plot-pen "Honest service"
. t3 \) E" d+ H- I( uend
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$ V' K k8 J0 d0 ^[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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