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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
; R7 D! l& L; Z, Pglobals[( f+ r* z1 c. B4 }/ ]' G2 T
xmax8 f4 M2 g% _( ^( ]6 z4 m4 m) f' q8 M# z
ymax' C2 N$ x. O% \( F# B' r+ ?
global-reputation-list
3 k5 v) F, G$ d* U2 m, {: ^* U% J) @- M$ i- Y2 [3 l. O# ~
;;每一个turtle的全局声誉都存在此LIST中( j: d7 ^$ p9 {. w2 R
credibility-list
R- C5 x' _0 T8 J& ~# h;;每一个turtle的评价可信度
3 f) C% A6 ? Q2 fhonest-service
4 y: v; Q3 I9 x9 `4 ^unhonest-service
/ G6 `# ~' ^( ^5 P; K7 y/ i: Moscillation' x4 ?0 }- y% F6 w& w
rand-dynamic
4 H' Z+ f; O6 m: K: } Y]8 n) N4 L. s" y0 M
) N7 b3 d1 i' M' a& Q* R2 y3 z9 sturtles-own[
! ^ ~: c' J5 G; Z0 I M9 utrade-record-all
, r6 Y& x+ r3 u" X" V9 ?4 c;;a list of lists,由trade-record-one组成
1 M$ Q8 C' R. N+ m F! @trade-record-one
& B; T0 V- Z0 z, }. d$ n;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录1 N* Q8 G2 \ P2 r0 U+ I# U
' I* ` a: {# I, F Q( [;;[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]]
* o! w2 M7 |/ D( ~9 l! O; l) l8 wtrade-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]$ `* T5 F+ W2 Q5 Y- ?
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( P: r+ X$ z$ }# ]/ J6 |. M( o
neighbor-total
6 \: `" p1 r8 y: a0 Y;;记录该turtle的邻居节点的数目- A' L, u0 I1 N2 R$ j* I
trade-time8 M1 J5 A7 P& b' A. M! |
;;当前发生交易的turtle的交易时间
: ?* Z# J7 m0 W2 \( H8 V+ O- J- b, Dappraise-give* A- j- ]+ e% V1 F" @3 |7 \. J4 M
;;当前发生交易时给出的评价
, ?% X/ S& k& j/ aappraise-receive# A4 F4 C& h; Z1 D6 m7 |3 i
;;当前发生交易时收到的评价
" k- x! x% d9 G. k. k" G! nappraise-time
4 T9 h8 X; Q0 ];;当前发生交易时的评价时间
2 s" Z9 s/ K. A( r5 D7 Y; r! slocal-reputation-now;;此次交易后相对于对方turtle的局部声誉' m6 \ r: E: u) g$ J
trade-times-total
# l. c* S2 I }, c3 V D, B5 A) b# ?;;与当前turtle的交易总次数# q* n# ~ q- N' D6 k2 g' L0 r
trade-money-total
5 U% Y& A0 t- n4 M2 D9 i;;与当前turtle的交易总金额
3 G/ Z2 V* @& a( g# plocal-reputation8 u, G7 L7 H6 ]& k0 d0 q
global-reputation
. u0 u9 l7 W6 v2 icredibility% n4 K- a/ h& H& m% t" o$ `: D
;;评价可信度,每次交易后都需要更新
, m' }+ v' {, z1 s dcredibility-all/ h6 z; k6 G) n% ~4 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/ V4 X9 Y, F+ V% \" t3 ?; W
) |) D5 @9 f8 w7 _ w# C;;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
! P, a$ `" P9 {! ?5 ycredibility-one5 l* w( I. {9 n: B
;;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
. T7 Y! w* M! M3 x( f" K% C8 O0 o# H- kglobal-proportion
L8 r2 x0 t9 r. @4 [4 t6 Vcustomer" B8 H5 n" X A }6 _
customer-no
! l5 G- R% Q" X1 u: U; U% d6 Ktrust-ok
3 L3 l8 ^2 q( o* `; }0 A/ G3 m% ]trade-record-one-len;;trade-record-one的长度
( }8 B: D2 b( f- i] l9 M- K8 T' ?' C: L7 u
8 l) m/ h" t! T
;;setup procedure
6 R7 z' v) s& s: N. `& h5 A
; i( I5 `6 Z& E* i9 @8 Vto setup
2 b/ W. `) o- j& M) H8 ?: v
4 P' C& E* e0 _$ i8 f4 Uca
$ u% j# U: ^ R/ N
) C. K& l4 |7 Linitialize-settings! U2 x. a4 m6 }6 t: X' Y: O: n& q& z
- v+ Q6 W" V" o" D6 _5 @crt people [setup-turtles]
: l4 ]/ E" }# @
" m) K% w$ G; rreset-timer1 l, |; g/ j" Y" x" V9 `
% r7 |! U H$ o5 mpoll-class7 ^8 x; x# w" P7 J* K" {
1 Z9 r& G" g- h% S$ E6 ~2 [+ wsetup-plots1 ?; ]% d2 \3 I( c3 H9 O# z
+ t/ S+ K. v3 g/ p$ }( b9 E$ o5 Sdo-plots
" d5 g6 K, j. w3 E/ j! k$ b% Yend1 K) P6 _- c' e9 ]
. @) z/ g. g6 Z0 o7 @to initialize-settings; [# F8 X4 B. L- h& c* ~
2 W, V* a7 N0 x" u0 ?1 |
set global-reputation-list []3 R9 h4 B# s3 v& C' K5 ^9 m
: P7 m5 [; a! q0 o
set credibility-list n-values people [0.5]/ y" }, [, M! D# d6 G
/ x! k# d) O5 |/ C' t1 H# E3 Nset honest-service 05 R* f( H) {3 D- ^2 l0 Q: @8 X* u
- b" t, r+ c: n4 y
set unhonest-service 0; ^: N, |5 D8 `4 E
8 P( B2 o' k, E! _/ P, N
set oscillation 0
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# R7 C( \9 N8 N- X vset rand-dynamic 0
. D# w! Q) ^0 e/ k: Qend
- f0 ^0 ^5 C+ ?2 @; V
- Q' ^" F; a! Q, y- Wto setup-turtles
: p# v" R. A8 Jset shape "person"% A i- O1 @% x. t
setxy random-xcor random-ycor
7 W9 M6 Q* u' K5 T, J9 mset trade-record-one []5 C8 j+ e: |" S4 K4 s' R
& \# t; O2 p4 a! |
set trade-record-all n-values people [(list (? + 1) 0 0)] G. B# Z7 D4 Y, p
& a' m9 _ n- i
set trade-record-current []# a1 i" X7 t( V5 w( M
set credibility-receive []
! r0 Q! ]4 ?' t& x2 oset local-reputation 0.5
; J* a, `0 S; `0 gset neighbor-total 0 G/ o( N4 ^4 S0 R' b$ g
set trade-times-total 00 M8 @" o; p- J. E/ d7 K6 M& k
set trade-money-total 0( t9 R" I4 F/ x5 t: [+ F: V
set customer nobody
5 M+ l" g# P* Tset credibility-all n-values people [creat-credibility]- _: }# Q. T o' J
set credibility n-values people [-1] w& C# m! B) X y
get-color
, k) R* I: \, l' a6 {' T$ W* _: x9 m' K: C$ ]
end
- P3 [: x8 |4 Y9 Q) o% k2 T$ ~: S2 A( X6 \
to-report creat-credibility! a, S! K! u9 ]) Y0 z0 g
report n-values people [0.5]
( p/ g t3 W3 send2 n+ y$ S O1 B* F: S6 j; t; b' {
( W& |6 t' L' g6 r) s+ `
to setup-plots+ |. e, g2 p/ r1 h F0 }$ {
& k+ ~& T$ r: @; F
set xmax 303 j0 O( g& U7 M8 N) h
7 C+ D0 E4 g$ \. T5 |8 Jset ymax 1.0
# o0 \, M: g! S( T6 K$ K, |7 j" k
+ f: t& V" _# Uclear-all-plots
2 C* i( X. l9 @; z2 |
' k+ [2 L% j. ~8 j/ w! Zsetup-plot1
1 Z- @! Q: s" ]# l: |) B& k$ J9 t9 V, H- w1 A$ a
setup-plot21 O. |5 C1 x c( o( {0 P
5 L0 L. \; `% }. E- usetup-plot3
" s+ F, x9 I: b! c$ e; rend. T" t9 g- X6 H3 U$ o
/ P0 P/ D4 \- m;;run time procedures
; ^& o0 Y/ Q F' O2 f5 {2 j |) F3 y' b2 v' {3 l
to go9 o: S! n% r/ o5 |
6 w$ y6 w# N4 g" H; c
ask turtles [do-business]8 E( r w! v0 m+ U
end
8 m5 z5 g0 ?# }3 C5 x+ w% K) \$ k3 g5 E4 k! k7 o. F* e+ N
to do-business , G) W+ g% V$ z6 [/ H% f: j/ G
+ a- U- O& V, r8 T
& U0 R1 J; O0 \7 v. S- wrt random 3606 w# d7 w: U: j- X5 f' x8 c
! [% T) N" W+ k# ^, b+ v
fd 1; n, M2 ~- e) Q4 L' f6 F
8 n; x: Y5 D* C' j& E
ifelse(other turtles-here != nobody)[# ~: T0 H" G' U0 {& x
, I! b& l2 \3 W( f8 A
set customer one-of other turtles-here H; k" w7 j& k w* u
. X7 @ [& |1 _8 e$ R
;; set [customer] of customer myself
6 [% R& p) O. d/ F
i- p4 L4 ]9 c T+ ]- Sset [trade-record-one] of self item (([who] of customer) - 1)% q3 V- f, e/ t$ B" v2 w$ a
[trade-record-all]of self* X) v' B7 {2 v. O8 z
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
9 I4 V8 Z" N/ V) q8 u, y1 {' [
7 e2 |5 L: w& z: }& wset [trade-record-one] of customer item (([who] of self) - 1)/ m, s- Y0 ^% Z- v/ U
[trade-record-all]of customer3 x8 f) z2 e- {1 [5 {4 K3 V
1 X9 S* t) v& G1 L& w pset [trade-record-one-len] of self length [trade-record-one] of self7 m8 A8 K; s% z! s5 X
2 z! p5 `% C# q! Pset trade-record-current( list (timer) (random money-upper-limit))
! c# K7 u1 Q7 C4 }# @# i" _0 P' x, `+ N8 i {4 N9 ^9 I
ask self [do-trust]% k( K3 ^* }7 }; T0 |# G4 g t
;;先求i对j的信任度4 \& L& } r- b& m |0 K
9 Q- t) p1 R! D0 y2 rif ([trust-ok] of self)
7 A3 z5 q# ?% t( g, n$ k0 Z;;根据i对j的信任度来决定是否与j进行交易[
; I3 N1 @- h& d3 ^3 N% V& n& l3 gask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
3 Z3 [+ t/ C: ]" z, Q, @8 H; q4 C8 Y
d: y7 @ w, s& [[
+ _7 L( n5 g+ ^( x" G2 r# x3 r+ E+ p5 G0 E5 n5 e9 p
do-trade
E6 ]- B% }8 D5 L/ Y0 K
7 F' L! @: N/ ]/ pupdate-credibility-ijl
2 {7 E m. ^# |! ]
$ d3 o) `0 H- u% U. ]9 Supdate-credibility-list# A: Z0 c% W3 O) g3 t
3 f4 _2 _) T; k) |& s2 M
! p% j t3 ~/ m* Bupdate-global-reputation-list4 s# I* u( H. S: B
& U5 i! Z! O) l5 l+ Spoll-class$ @- q1 L3 E, H8 K! X- D( \- W+ Z+ W: R5 w
( ~1 e- l8 M' g; Y/ Eget-color( _4 B, U2 e( D4 q( V& T5 z% S7 ?
6 T } R& ~1 T5 [/ l
]]
- d* {: X, g/ I
% M$ }1 f( h" G/ i;;如果所得的信任度满足条件,则进行交易) P. T( b' j: g1 ~& j
7 F' W3 z/ R! h7 I
[
F" q5 s; Z9 }/ ?1 h) h8 i, M* Z
* k( J o: X. y9 z+ E8 I8 prt random 360; n8 q- K9 s& C9 d" R# G
, z- ^+ q9 G& B; B) I
fd 1
' J7 t8 p/ }3 B* M* Z8 V
% K1 y0 I {" ^$ v6 L5 v]
2 M" U8 ?, K4 d# K* u* o$ y4 Q
& o5 E* e; B$ U% C/ S; vend) C- W. T- D, U2 ~; q
3 ^0 q; _6 ]. X2 y1 Z3 d
to do-trust ; q2 I4 V5 h% h1 m
set trust-ok False8 b% p1 @, R6 P' ^$ F
% [% j/ g3 R" i$ G5 N3 O/ R) [
0 X5 j4 I8 k+ M0 Jlet max-trade-times 05 c# V n- _+ D
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
. M0 N' m# n4 r: \- ]let max-trade-money 04 X8 N. S- D; S( n+ e3 Y) j+ r
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
3 s! Y {0 u3 R, z7 o! Hlet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
8 s5 ?+ E6 u% h2 @, Z
1 R% s( H) p* l/ Q7 j
' |$ x% N$ l& L2 F$ y2 l' gget-global-proportion( Y" F* U: d% T* B$ c2 u2 R
let trust-value) |. `" }. t4 _
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)
" e/ l V W6 o4 ? Y! }+ mif(trust-value > trade-trust-value)
9 x! t4 a* _6 W6 M: V[set trust-ok true]
: f) U8 p2 y9 N8 s6 J1 ]! i# iend
! s2 _; W" V7 q+ w
/ v9 V }# B9 D A& E# L4 C% Wto get-global-proportion
+ L% p, m7 w$ Y. O( v, T {ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3) t$ w) w0 w3 B
[set global-proportion 0]1 v2 C# K3 }( G) B+ [& r
[let i 0 x$ ]$ ]$ p' _& q! y
let sum-money 05 a2 B. c" y1 Z0 M! b/ I* f, {) w
while[ i < people]
$ q/ r$ q) p4 ^) m3 O3 g) a! _[
/ C1 X1 j( S( Q4 Pif( length (item i
0 Q! p! ]: V* [[trade-record-all] of customer) > 3 )
" E8 g6 I0 {8 t9 }( |6 w[
( F4 y' P! p3 L! Sset sum-money (sum-money + item 2(item i [trade-record-all] of myself)). H8 J. T: x U3 H/ m! ?
]. Q: Z9 G+ n( V2 C. l( z
]. N6 G( N! M: Q1 {2 [
let j 04 G+ L: [; V# J* \) P! Y
let note 0
- L* g: d) y" C' ?& mwhile[ j < people]
0 z, s4 |+ {9 Q1 P[0 X1 g, u5 n; r" r8 q8 j% m* {- V
if( length (item i6 Z& D$ I$ e6 V5 p" @& }
[trade-record-all] of customer) > 3 )) R4 s. V; e* M; `" U
[/ \/ J0 w& f6 O3 W: I8 Y7 H
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
; x4 w% j) Z2 `$ G" D/ G[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
9 f4 G0 Z. K9 _3 m[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]' H! E0 f5 [, E/ G. B' g# ^/ D' f
]
- W7 M* t( ]9 p7 ]+ C! }& y5 Z- ^]) j+ X6 \% p+ ]' c9 G
set global-proportion note
- c) l* k( l) n+ J& Y! e]. G( F2 n/ R9 ]
end" l, c! z, P1 j
) Q" v. T) J4 n/ X5 S. j, K5 ~# e5 ato do-trade
2 D3 C# r: n( n- l! a& P1 r6 d;;这个过程实际上是给双方作出评价的过程
7 o$ q K' k, _ A1 j9 x4 zset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价- Q$ y7 k, @/ H9 _% d+ e# H
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
! B$ q$ d7 J6 G' H; W: ]1 f% Tset trade-record-current lput(timer) trade-record-current
& I& g( D4 s4 p% ?3 N& z3 p/ ^1 O;;评价时间$ I, m6 ^3 ]/ X2 K6 Z9 Y% u' [
ask myself [
- b! x9 W3 I" V: n; P+ P6 Q3 o4 F' eupdate-local-reputation4 o/ [2 p4 Q, }0 l+ K& @
set trade-record-current lput([local-reputation] of myself) trade-record-current
* ~: a$ O) G7 f]
4 P* Z+ R4 I& }( _( vset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself! a& U+ T4 e0 I; A# K
;;将此次交易的记录加入到trade-record-one中6 Z# n1 F; l/ E7 J4 `+ j+ g
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)7 P( \* X6 t1 {
let note (item 2 trade-record-current )
0 x$ N$ B2 ], zset trade-record-current* |1 p, M' m- y7 M! W2 D4 s. g4 E9 Y' Y
(replace-item 2 trade-record-current (item 3 trade-record-current))
. u+ P+ t0 q9 g& Tset trade-record-current
# \5 {/ T0 L2 i. @/ j9 s; w5 R(replace-item 3 trade-record-current note) A* {5 J K8 y0 p9 N& S
3 `$ K% U' A3 }1 p3 d7 r6 q* Q
% p- |9 b( @" q, T7 ]$ j3 ]ask customer [
* ^$ u% b3 s) m% o v' m \/ _update-local-reputation
" B' r6 K0 | D" f* L2 qset trade-record-current
8 ]$ v7 E+ \ Q# ]; |* A# y(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) * h( F! ]2 t. @. |% K- n
]6 s: q) Z/ J- q
/ y' y% v& k1 i9 f; P
& [' |" V2 H, x
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer' T/ h' A9 @3 t$ b, W
& J r, c J2 b" s- T2 L! C
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
; `' \1 t; u( c+ n;;将此次交易的记录加入到customer的trade-record-all中
- y2 x5 D1 o- Yend
* L7 [& _- _- g* E& o' s/ R2 \ U/ q6 w
to update-local-reputation
A- R" l( w& n9 Q# o9 m" qset [trade-record-one-len] of myself length [trade-record-one] of myself
7 |0 \3 ?6 w* K( @% N* j; v8 z: [: Q. Y/ [# @8 H8 [3 O; Y, J
9 a1 `; L# [2 B" T4 k6 |) H+ ~
;;if [trade-record-one-len] of myself > 3
p( ]" t2 G7 Q/ hupdate-neighbor-total- {. h$ P; z& W6 O) n3 k8 f$ B
;;更新邻居节点的数目,在此进行
) [, l; [- ^- blet i 3
" x8 O* E2 X0 |9 m' {let sum-time 09 j* A4 q( b5 _6 i v
while[i < [trade-record-one-len] of myself]5 f* u: k) e$ _5 B4 Y
[
|3 o% N6 L1 |* tset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
; u% r- X- \! a! n% U0 Sset i8 F6 r9 h# J& v1 Y3 J
( i + 1)% H, {% e L/ J# U' y
]: Q) J- b; k& G
let j 3
- B) A( ]7 N d% [let sum-money 07 X. p ]) U. g. K" g
while[j < [trade-record-one-len] of myself]9 b+ j2 F4 a3 p7 i
[7 w8 u) L+ y# p* M2 x
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)
# n4 m) x* D( f: @4 Sset j& \& L$ j) T2 P, E, L E2 w
( j + 1)
/ z: D9 f9 A4 g) s0 ~]
. x* p+ o" v$ M* f4 q! Blet k 3
7 b9 \8 f$ m h, y# Dlet power 0
T# r( E8 }3 T& B! B @' Plet local 0
0 S, _& D' Q. S: K' o) ]while [k <[trade-record-one-len] of myself]* y5 e" T4 T/ Y& g' R
[
* q+ i4 T! p# b3 ?* X6 @" H, B# e, Zset 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) & {& |5 l% ~) u# n
set k (k + 1)
, x# G/ F$ ]" c8 h& U]' J$ b0 p6 @6 d, D) Q1 ^( m
set [local-reputation] of myself (local)+ Y0 f o5 b) X+ p8 G/ m) F+ l7 M
end
4 |' f7 o' C# K) {9 n9 m
/ f; d+ p# c; d( y6 ~5 v, zto update-neighbor-total* f# D. Z" }0 K
0 y$ K+ v& H8 X4 H) Oif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
( A4 E3 h6 L a% |8 r. K$ `( X3 {/ J( y' @
3 z/ H' |. Y/ z- m
end$ y) M1 j \( @8 U8 G _& s7 Y
# A/ P9 B5 U- q! c1 V& p: Gto update-credibility-ijl ! N- H: V* \) ]& z, y& s4 V+ o. M( V
# E2 y! T+ c6 m' q;;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。
# _) A" Z5 Y7 s5 A6 d' [4 jlet l 0; G5 m% x* T& ^# r* L% [
while[ l < people ]& ~9 | U% Q/ F
;;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
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let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
. l6 A+ W/ L& @. _) }: W: y ?5 n! vif (trade-record-one-j-l-len > 3)
/ _; Y$ i C+ o- g! b[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
& Z' U) s4 p& S/ _' Ulet i 3
& ?( {) V1 i Z# @5 ?let sum-time 0
, `* W3 \- u1 ?, m1 awhile[i < trade-record-one-len]
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+ ~4 D4 S- y. B+ F9 \+ Dset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
' ?2 }9 P4 M5 A& K2 x4 j: K0 Z# Bset i1 q, p% h3 Z; h. X& I+ T; d
( i + 1)5 I. X9 p9 A. T- q1 V1 `- t1 L1 k
]+ w7 }3 `. c' f8 Q5 R+ h
let credibility-i-j-l 0- e! w. u1 C3 i( o
;;i评价(j对jl的评价)! B6 h" f3 S! r3 u" p* Q
let j 3; P5 P9 ^9 b) B/ Q# E* u
let k 4
9 O0 L% C: Y3 M8 @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
" N+ V/ S$ t' u3 ~" bset 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)
; Z" ]4 l" v# n% `, ^set j
6 u+ S H0 s4 y' k$ A( j + 1)& f2 v: ~/ ^ w$ i; D2 x# D7 S
]
" [% N W$ l& Y1 K% V: J) wset [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 ))
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) j4 Y. o: X- m: O! q! Jlet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
- N. Y5 }! M$ }7 U% e1 m;;及时更新i对l的评价质量的评价
, H) T9 @4 r* H" b0 vset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
. _( ~, o+ G( r/ K8 h' yset l (l + 1)
: x/ x0 z* X2 \3 P8 W$ n \]
# L5 w! Z! O3 t L8 V+ _end
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to update-credibility-list% H2 \6 O& c8 c1 `+ s2 C# r
let i 0
+ Q* U" c* A. m u$ w& ]while[i < people]
0 H% o9 H' h, \" x2 ~[
: {! b5 [0 s" A+ D) Mlet j 04 k5 u- H9 ~4 c. Z! w7 F9 C% u
let note 0
$ z) W% l( F# T* R- Vlet k 0/ ~: K6 r' v! D5 K+ ~
;;计作出过评价的邻居节点的数目
, G4 _7 ]5 S' R: s. B N, pwhile[j < people]) h9 S) Z) n: z% c7 Q
[6 L; Q/ H7 o9 v+ [- f/ O8 n+ m4 |- l
if (item j( [credibility] of turtle (i + 1)) != -1)
5 J! k- ^* s8 R! k;;判断是否给本turtle的评价质量做出过评价的节点# t+ p( G+ m: O, {8 p
[set note (note + item j ([credibility]of turtle (i + 1)))
8 H& e7 a6 i4 t9 i" y( g;;*(exp (-(people - 2)))/(people - 2))]+ B# X* w8 I# m7 ]( \; |* E
set k (k + 1) y& v* U7 M. `
]0 _- ^. J, U% {# s4 D
set j (j + 1); H# l s# Y6 S u0 q/ m
]+ r0 _( H8 k" I* A4 a
set note (note *(exp (- (1 / k)))/ k)
/ \ c8 o& @% uset credibility-list (replace-item i credibility-list note)) ~ R; N+ `( J7 y7 u
set i (i + 1)
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end
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5 o* r Y* W p. Bto update-global-reputation-list) \) W; N4 M2 [' N
let j 0) M9 _. E' w2 D( v7 u" s9 E
while[j < people]
; Y6 ^6 @; m, B+ |: |& S& A6 c4 z[
, X* w/ y4 y+ A) Rlet new 0& `' ]) _! Z' F% {8 D* N
;;暂存新的一个全局声誉
0 Z7 ~ p: Q! a) b, r0 ~. zlet i 0; R5 v# O( @: s. y; w9 s1 A( ]
let sum-money 0- G# Q, b4 Y7 z
let credibility-money 08 P- J- t# M0 x% R
while [i < people]: `3 a( z0 j+ k5 A6 t2 o
[
6 ^) @! ^4 b! _: N5 Z- \set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))! S3 A) n; l; f, E- @) a
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))& ?9 O6 R h: `( W, E N* I
set i (i + 1)8 G, ^! s" I5 G3 l$ c
]0 @( w* B9 P1 e+ ?* o7 X) f2 T& p
let k 0
4 T- T3 b9 j. B* `8 dlet new1 04 v" b( P/ X+ N
while [k < people]. P, c! y& q- N1 S* N
[. [. ~- D( V/ L' k( t% S
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)8 f! Y: C$ j( S& X2 T
set k (k + 1)6 n( z% t% M* H/ h H, u
]& D* q9 [: O9 ?+ _
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) & U% B0 f. N+ X7 i5 r) P" _
set global-reputation-list (replace-item j global-reputation-list new)& @* [9 _9 l) t8 p1 Q x' X
set j (j + 1)
# M. z; a" K5 R S]1 v4 [6 v" S" X5 h8 W
end
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) s- L9 S* E7 a9 t/ }( \4 r; q) F6 P7 q1 \5 K( [9 u$ K
to get-color4 f( G& ~ w! n0 u
. ]7 [, q- V+ u- u1 _, Tset color blue
" R. t& f* {. \% e! o1 ?end: o1 @: b# I m) Y1 E" Z5 [7 U2 R
4 b* r/ P' W# W1 V& zto poll-class
- V# h& t/ `+ h* A2 C. a) Bend2 H6 X G6 p5 r3 K) s
6 ]- n2 N& t2 N/ _$ c& E0 Q( vto setup-plot1
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set-current-plot "Trends-of-Local-reputation"% N- [) x6 e4 }9 u4 P0 H5 q& G
' }4 J) l( n- i; {: d, Q3 S
set-plot-x-range 0 xmax
4 g( [7 t T- N9 H; d+ }3 b0 d+ o+ P8 n' p! F+ m. t$ o* f& R
set-plot-y-range 0.0 ymax. p; R% u! f$ b% G/ R! H% Y
end' d$ Y9 D5 m& C6 w' Y
( A) Y- z( F8 ]+ i) M/ r, O
to setup-plot24 |' E2 ~# f5 r( f; J
1 n7 ?% T2 a! p2 G% f
set-current-plot "Trends-of-global-reputation"
7 n) I0 s$ t8 }$ e
# \% N! I) p6 p! gset-plot-x-range 0 xmax/ r8 Q0 A6 F( m' e, h0 z% Y; y( @
% C0 `" w8 V1 N9 _# u+ z0 w9 ~set-plot-y-range 0.0 ymax
2 E$ h% O" v8 m) D: ~end
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to setup-plot3& B4 P. z/ }! r, D
+ V2 x: t. `, m* p6 P9 A( T4 R& Q( M
set-current-plot "Trends-of-credibility"6 Z/ m( s S$ p. j) L; S7 |5 h2 v
; Q+ j! D7 S/ Z1 g: {# Y
set-plot-x-range 0 xmax; x T$ ?# W2 b$ P+ |
/ o+ p2 q5 r# a, Vset-plot-y-range 0.0 ymax% S6 f/ O4 b5 b2 ^
end
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4 g! @, Y1 U9 P& Q7 V) Dto do-plots
( U$ _0 Q+ w; D3 L$ J* Mset-current-plot "Trends-of-Local-reputation"0 M6 x! K$ B% d- S- |7 ?, L. B
set-current-plot-pen "Honest service"- i' z& E! E7 _' e
end
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5 J8 F4 |3 V% Z$ q7 y[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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