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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" H1 X* d% a C( A
globals[
, L0 T& `2 ?% l) S: Bxmax
6 @4 t6 M L* Z* s6 {ymax$ A5 Y( w% W1 R" S' j" Z# `
global-reputation-list
/ P# T- J r0 ~" ^2 Q- V( @" C0 ^# n/ L+ P' y6 _2 B: Z1 `' {- U7 D
;;每一个turtle的全局声誉都存在此LIST中& X9 E3 ?$ v; ~( Q
credibility-list$ ^: c& w0 }$ r1 l
;;每一个turtle的评价可信度
7 }, ]; j3 A0 }8 V+ V/ E# zhonest-service1 d5 l3 U$ ?: s4 p: f% [
unhonest-service( ~2 K7 R# K6 `% w5 F/ a# L' m
oscillation( ]2 l$ J' T+ f& M! @, l6 Q
rand-dynamic
2 q5 V. R- x9 |) ~]
+ i/ Z! J+ R" j+ \3 a8 R! a; U0 Q8 j; D- j1 `+ M
turtles-own[( ^- A- ^* X% H; |; w5 s* P
trade-record-all
2 s6 K1 F J2 _6 y9 H- K7 T; A;;a list of lists,由trade-record-one组成( j- m5 l! K! Q$ W3 J# s) h+ w
trade-record-one+ H$ `2 h1 f3 V) D0 ~
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
- y) ~# `0 ^* T# i6 u1 W5 x0 _2 I7 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]]
' ?$ [0 o' c4 r* N1 Y0 N7 W- G3 otrade-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]+ b6 U: {) _: `) F% z, T
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list0 n" `2 @0 j, h, ^1 o Z, l
neighbor-total
* n* x, y n9 z$ L5 @;;记录该turtle的邻居节点的数目
5 v' z. E0 V7 R* Mtrade-time3 p- \4 M7 d+ I L- E$ Y; q
;;当前发生交易的turtle的交易时间% Z# a$ d6 u( u Q$ W# _; I
appraise-give
9 k$ B; V5 W+ S" x1 I3 L;;当前发生交易时给出的评价" G) D. L( F; w: X
appraise-receive2 e( b7 W1 \+ k$ x% M7 I
;;当前发生交易时收到的评价
0 p' O2 n3 J6 A5 {) Z0 tappraise-time
, {* Z' x, G( E3 @3 z- p;;当前发生交易时的评价时间; q, k$ Y1 h) o/ }- \* M
local-reputation-now;;此次交易后相对于对方turtle的局部声誉
2 H+ W N- Z# A4 H7 i$ |* Ztrade-times-total
K, U( ?6 p2 t3 Z;;与当前turtle的交易总次数# M- L+ y8 C+ [) u
trade-money-total
8 Y4 o, e0 t. r& t/ W;;与当前turtle的交易总金额
" V/ F9 e- ?8 b' [% W) P. Blocal-reputation
$ Q0 G9 T# T5 E7 \& x: X. Oglobal-reputation
. G, [2 X L% O9 @% hcredibility
: r6 r4 f$ ^: };;评价可信度,每次交易后都需要更新
7 y+ q6 h+ U, @$ ^. ]6 j3 pcredibility-all
9 l& B+ b8 A1 H0 y7 D8 @8 U, d;;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
) O5 l8 ^- I! j" W, S* o/ [- { l X! p/ q' j
;;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' G( Q4 f% T. z
credibility-one
- E" X9 U1 m* x9 V, x7 z7 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
& z: r. n, h; eglobal-proportion
/ Z7 W% Y6 }8 W, x: |+ fcustomer
+ ^- Q2 P8 b9 {$ s3 r' d: Fcustomer-no {$ b% z' _2 G* f6 m& V t
trust-ok9 D; t U' K# H3 ~5 Y5 a
trade-record-one-len;;trade-record-one的长度# p4 O$ j# i0 i
]
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) R- s* b3 V& U- E0 U;;setup procedure8 E& R3 [, C. k, U2 o: ~8 j" u
) a9 z" U0 h* N& g; E* Eto setup
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' k+ S+ e6 E) L$ \4 Rca5 ^- a8 G" }$ v( @
2 a! @, j$ I& I9 e
initialize-settings
# z- y. {, i- ^6 Y; n
5 t; H- P$ p$ G5 w6 ]crt people [setup-turtles]
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reset-timer
0 W$ _9 W- s( t' @6 \
# B0 _% |3 Q0 F- z upoll-class
, \' D6 v" B5 I7 m* r4 s0 f
. H8 u4 q% @3 t c8 ^setup-plots9 H; i% [% n3 x
0 B( a8 N/ G( C+ w
do-plots
6 p. Z% u) h7 }- dend
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0 |: c1 e, F8 I* I7 u/ q6 [to initialize-settings% O1 x( o. O: \" B
( n2 R% U# H1 \4 u5 P! w. wset global-reputation-list []
' }; e" i/ r# V) y$ B* t* H
3 L4 Q5 A5 m9 o0 y- Z! pset credibility-list n-values people [0.5]. T( b5 y" ]4 K9 e ~) l
6 a, ^3 U- K: ?- \- m' x4 Q; I
set honest-service 0
+ m( g' A. ]9 w' P4 [1 U
% z2 L5 |& M) p% E: |set unhonest-service 0. ?% f$ D$ w" @- B% C; T
5 \$ l1 a0 L T* P% p) E
set oscillation 0( x7 X8 U5 p. G6 D% T
2 C( e5 M9 F0 O2 sset rand-dynamic 0
" \ P! J, M# h) @3 yend
8 j% R/ e6 m: ], c0 v2 {# ` B7 `: b% Z% a9 k$ J! {+ m' v
to setup-turtles 4 w+ w0 l8 m% K( @5 [) i# c# [
set shape "person"
! o8 p( G5 @- L% Gsetxy random-xcor random-ycor' \: t1 Z6 ]3 I1 T1 d6 h; T3 [
set trade-record-one []) r6 X e8 ?5 ?+ b3 m( C& O# ?
9 I, Z5 s$ U A I
set trade-record-all n-values people [(list (? + 1) 0 0)]
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set trade-record-current []; x0 k/ ?% M3 n! \/ O) |
set credibility-receive []
8 B% g4 l( x$ D6 ]7 c, Zset local-reputation 0.5* S! V( m- h/ j* j0 Q( G: w
set neighbor-total 01 U* b& z1 ?* y- c. q# K, n
set trade-times-total 0) `+ c) S. Q, T: ^/ G5 H6 U- W
set trade-money-total 0
5 h) t, y3 J) r! ?1 q5 Cset customer nobody
0 M1 C3 g; L# s0 Xset credibility-all n-values people [creat-credibility]" y, o" F3 d' `+ q
set credibility n-values people [-1]
7 Q; ], H2 I H3 ]# u, \1 k( P6 P& Oget-color
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% ^: ?% b- B, v/ bend9 a, W9 l5 |" ~$ x7 ~
. [) Q6 r/ N- E5 n# ~
to-report creat-credibility
4 R \/ u; _) H4 o8 G/ H4 G4 @report n-values people [0.5]/ w3 s- l3 M8 N
end
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! I! i: m' C- S! y$ W. |6 r, v: m& qto setup-plots
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+ D1 Y# T& V; V( z" T; u; Pset xmax 30
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6 T& R8 |8 c+ q9 _0 f4 Iset ymax 1.05 C6 E! I$ N% ~ I. S: h
4 ]) X# D! _( ~! O4 z" Iclear-all-plots4 m* Q! L$ e+ D5 \ p9 ?0 U
% C5 T4 V+ i# j5 `, L' z) s* Ksetup-plot1! }' _3 q* {: `
& U* z0 ^; h( t* v" h! i* U
setup-plot2
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9 [9 [4 ^4 V8 k7 n8 A7 n& v. zsetup-plot3
3 c0 G) S! l. a a9 X- o, send" d* y& ?( A, e8 P
3 Q, Z$ F3 b, ?, l;;run time procedures0 d2 i" v2 X4 F) F2 K
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to go
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ask turtles [do-business]
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( X1 L3 e0 |# f3 h- k: F2 c( O' M% eto do-business
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- T. N1 E8 h; J3 t
rt random 360+ v6 M2 c/ C4 R: f
: K9 [% X% b3 W9 b4 ]
fd 1
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/ ]8 ~% `/ ^! E- M! u- U+ jifelse(other turtles-here != nobody)[
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6 V" _- v; [% S! c1 P$ Zset customer one-of other turtles-here
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9 Q1 q; M6 Z) Q/ d' x+ k m1 x;; set [customer] of customer myself, C2 H% g7 R2 r4 Q( N7 r0 b
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set [trade-record-one] of self item (([who] of customer) - 1)
! [/ H0 u0 a, }/ Q[trade-record-all]of self( X9 L- L) l+ N: W8 ]
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
0 p+ f1 u, @/ q( {4 Q6 f# z+ j# U; S s* _2 e: G
set [trade-record-one] of customer item (([who] of self) - 1)
! U( P7 j6 P. |" N: k/ y6 ?[trade-record-all]of customer k5 H6 Y$ A* G3 x
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set [trade-record-one-len] of self length [trade-record-one] of self
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* f7 W. o7 `3 V) F& c1 r7 N# |8 y5 ~set trade-record-current( list (timer) (random money-upper-limit))4 E1 _$ B0 c* G9 z+ d7 ?- s! c) J8 Z
3 G+ ]% B; B a$ Bask self [do-trust]
- M1 H! v- Y9 E w1 `;;先求i对j的信任度
0 Y* X- B$ n N0 ]' {5 ?
2 v2 V9 H' l. a' A" c; Dif ([trust-ok] of self)
+ | j6 m1 g+ a8 f" S3 x3 y;;根据i对j的信任度来决定是否与j进行交易[
$ c* p9 j4 ^& s; ^ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
# x1 F- \. I! T% Q* X& V6 ~ f, x8 S- P+ X! s5 C$ @3 X, x1 w
[" e/ e0 ?) F( } `8 N9 _ g4 t
" H6 u% \. K+ V9 p- U6 x8 Udo-trade% d/ ^$ O* U5 P5 |* X1 Z* Y+ x
9 t/ R2 P B* ~) B2 e9 g) iupdate-credibility-ijl
$ i% [4 V; ` X4 z8 F% P; X7 b3 w+ A" x
update-credibility-list! \* L& O4 C% o3 C h
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0 [! M2 i1 A! ]3 d+ y- Wupdate-global-reputation-list4 q( m& i$ D) S0 J1 v. Q+ H w8 W
/ f5 ^# y6 z1 w: T
poll-class2 F8 q9 v/ j. ^/ `5 E
- y5 s5 n8 p; y0 x+ r) z4 x9 }get-color
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6 u5 U. V; x' O; ^/ |]]
9 q! q L' Y7 o" p, j) Y8 {& I2 H( a1 U( ~0 ^$ n' T
;;如果所得的信任度满足条件,则进行交易
7 B. T4 Q: |. Y6 O0 O8 Q" }( B' w7 _' g5 E
[% _. x9 {7 N0 b# l
( i8 T4 I s7 z! p e4 ~
rt random 360+ K) x0 |; S% G* X' |
, n6 L. j% l- c1 G3 }4 j
fd 1' V( P; y5 @2 r# t3 W1 C' K( I
8 w0 ?4 y0 N1 A! G' I/ p c]
- `. K9 K2 @. ?, y( G. i
3 H# @# I% w3 I6 }end
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to do-trust
" D4 ?5 ^% l6 O+ t/ dset trust-ok False' R/ p7 k6 b9 m0 E, J
# z# o% q. A7 b9 q7 L
) `+ y: Q9 h9 ~6 g+ ]/ R" {let max-trade-times 0
1 c% x: G+ ~+ D5 h8 {9 F: xforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
5 q8 a8 Z! ]8 b: a1 e# J( \/ V& H1 alet max-trade-money 0
( _9 V5 D I+ uforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]] h8 B5 V" ^( n% W1 X) L
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
% Z- M I( `3 j1 v8 n- e+ b1 G
2 a5 \ B' ?% ?! }% v* o* C- b, F8 Q& Y
get-global-proportion
( t+ L; d2 T4 ~& d8 i! s6 @) ylet trust-value f; O- a! m* i, j/ {: Q: E) f
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)0 \& S4 j% d4 `# z F, E0 [
if(trust-value > trade-trust-value)
* e/ T1 }) x" }; m7 V# I[set trust-ok true]) r( d2 ?( l- b
end8 d2 t, _2 z% `4 i
J7 D5 @* ?5 \* {9 V' J6 ?1 xto get-global-proportion
; u4 R: X& W2 W2 n; Xifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3). b! G: T; j# y+ m( p9 e5 \$ R
[set global-proportion 0]
, h# |: O7 e5 d; h L[let i 0
, j( w# L% a* G5 f( Ulet sum-money 09 o9 W7 ~8 G/ c
while[ i < people]
: d+ `$ g( n( x9 H o7 R[# @2 E7 a3 d$ L
if( length (item i7 a3 c" \6 q. s |
[trade-record-all] of customer) > 3 ): o& D P3 R1 z
[
# {, {1 ]# m) G3 R3 `set sum-money (sum-money + item 2(item i [trade-record-all] of myself))5 {$ L0 R3 B9 a P( A; ~# i
]+ v: f% ~, U! E
]7 |* O1 Y0 |( Q
let j 05 b" M/ `* N! C( i
let note 0* l- o) g# S: H/ \5 ~+ i7 V
while[ j < people]! h! W+ O. x; Z/ Z/ A9 f
[# Q7 ^7 l! ?7 R6 H) p$ H1 L. o
if( length (item i2 b: {" f- n$ H' j) F
[trade-record-all] of customer) > 3 )
9 @/ t# `8 E; {7 L& B[
4 j% V7 G4 J/ R# x' l, `ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)/ d5 L0 Q, q: q" D0 T3 l0 U; E A
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]" z; m a" a4 `
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
2 V4 [3 H; F6 U]4 g6 D/ ~4 \3 e1 p# ^6 n! }* i
]. H$ g5 v6 S0 x0 l1 h( j: E7 U5 K9 _
set global-proportion note! D) Q6 s9 t2 K4 v5 w3 y( b% O
]# X, a6 i3 X( f7 k! k
end, a! p/ N7 Y2 v) j( q" q6 I- D
( c+ O3 }% I: B1 q1 ?7 Zto do-trade
5 j" W$ n% d. T5 o;;这个过程实际上是给双方作出评价的过程
+ C9 X4 P8 M' I, T& V/ S9 s' `set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
D8 V; @. W/ y% {( wset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
& y" `( |5 G: f$ xset trade-record-current lput(timer) trade-record-current3 P- u/ b3 A$ V. _
;;评价时间
2 |: k& B: v/ [) z$ Kask myself [
! }4 _3 ]5 T: Q- Zupdate-local-reputation9 m: R1 N6 U3 l5 U) s: x
set trade-record-current lput([local-reputation] of myself) trade-record-current
% R# w$ u3 S! A, \# r]% ~. p. [0 K) _9 A
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself# H4 a$ B$ u! s0 G8 E$ x' Z6 P+ {
;;将此次交易的记录加入到trade-record-one中
. @! Z4 G! U4 ?, g* j0 lset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
7 b! t1 Q: x& f" I& f4 m" K9 Wlet note (item 2 trade-record-current )
6 F# j2 \: h+ g# a' D. Xset trade-record-current
6 V: c! j5 b: P(replace-item 2 trade-record-current (item 3 trade-record-current))
1 w1 v; _, X) |; h3 Y* G) X5 Oset trade-record-current
- v4 H0 [ y+ I1 j) X1 a(replace-item 3 trade-record-current note)8 T, a: V( t9 Z6 V ?
4 m3 ]! p9 v' _5 y* z$ n6 j4 c
( }. M& v& e8 e4 |- [ask customer [
5 C: y3 N6 ~2 X" g6 l. mupdate-local-reputation0 N. h8 |' A! J3 p$ J9 v
set trade-record-current# P8 Z( h- e5 f/ G6 }, \1 o
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) * U9 R0 G( ?; n8 T8 z, a
]
6 G7 \' ^ ~3 Z" M$ P# W& x B2 U8 k2 D, Q! [+ b. t6 q8 ?# k2 Q
) [6 r. `# s, l' J. |5 vset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer" `7 V: S: x; [/ x* v) j
( q" \3 U) @3 g! pset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
0 E% x& J. z& ?! }; h% }) W& q;;将此次交易的记录加入到customer的trade-record-all中
( Q4 O3 ]/ A+ g% H, Qend. A; H/ o/ E4 t3 \5 n8 T
9 e# P j% |/ O7 j" `
to update-local-reputation& W% g+ p; O" r! L8 e
set [trade-record-one-len] of myself length [trade-record-one] of myself7 @, _4 B' a8 |
! y; W$ r9 a" r1 ]7 ]# B9 T
, G& V/ I3 T% H) |$ K;;if [trade-record-one-len] of myself > 3
& M: q6 G. `" l. p0 ^/ mupdate-neighbor-total% A/ [5 Q: A, P$ }) ^
;;更新邻居节点的数目,在此进行
; e' |. s3 {6 xlet i 3
/ s$ ?0 H2 j1 xlet sum-time 0
) O1 ?4 y; G7 x# K4 dwhile[i < [trade-record-one-len] of myself]
: {/ b- `! @& S# ~ I3 G4 P[
0 [! x* @# F' q* Iset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )4 x; f U: K1 k1 g) K0 k- n
set i
5 i' O- i" U* W1 E( i + 1)
% _+ E: a, v1 m3 I- H/ G1 _: [/ v]
0 _' u: ~ N- D. t! r$ Tlet j 3
& t2 V* [; H7 z5 S. ]let sum-money 08 y# L) ]0 P, Z; U' k; h
while[j < [trade-record-one-len] of myself]
' G5 W; Z7 M1 C$ q- R5 G[
) @& o6 X/ S2 v3 U! kset 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 ~* z) g7 r9 J9 v: b
set j5 s7 S7 A& q1 D i" \, ~
( j + 1)6 O5 V0 ^" F, i; B8 L
]
3 @$ ]( R: ~" I; |7 [2 h9 e9 A. K6 ^let k 3
7 X: [) I& v, J* i; J: Vlet power 0
) m( Q( r5 }- Ulet local 0
1 B8 G+ ?8 i8 Q) r7 k9 n" pwhile [k <[trade-record-one-len] of myself]
1 M9 @7 ^. F" d M[- r- n' `4 G7 z
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)
3 Q& e8 K0 ?6 [4 v* W ?set k (k + 1)
7 l7 B8 d; {8 P# U, ?) R]
% m7 e M/ r S/ B' {set [local-reputation] of myself (local)/ ~( ~; d" G2 ?5 o9 N; q
end
1 ]/ h# b, z2 k/ y1 Q! s4 L* |3 _) W* \: k- k
to update-neighbor-total
6 _; }+ t& b# X8 Z: M8 O; ~3 j0 \: \9 I) [* Z3 r6 q t# C
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
9 x+ U2 S* r% ]8 p6 ?6 J2 E: v0 z, i N2 ?- u% K- u4 E2 J9 I8 Z* O
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end6 D2 s+ J& n. L* E; V- V# p' g
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to update-credibility-ijl $ C0 }6 O: K% v9 U( x$ r
# l8 K. t( c6 _! H; _, y7 U9 u;;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。
+ J4 H7 n/ }1 T* I8 ulet l 0
' A6 u1 o T' n/ O4 e; }while[ l < people ]$ K$ r5 ^8 a; j- Q/ 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7 x* Z- C' V. ?& ^! G
[5 F+ o+ X9 T4 b L
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
5 I# {+ [1 K5 r1 E5 S! j: ^& Gif (trade-record-one-j-l-len > 3)
" S! h% T7 b/ x- c[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
; d9 _& d/ D4 T0 m4 D! M% O8 Zlet i 3
/ b1 I% E8 E; a+ B9 c7 J( tlet sum-time 0
4 P4 \ i/ S) k( V8 Ewhile[i < trade-record-one-len]
$ [6 P' R c4 |2 s% k[7 ?7 r' Z6 g$ ^) J1 s
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )% ?- q. I# ~- J/ r3 e+ D' `' C
set i
2 f& K5 C9 |8 e6 \, {" E( i + 1)
: `' C! {- O) F8 r: V! b; N]' V7 Y) C3 b/ G- v" j
let credibility-i-j-l 0$ }! K! e$ ]# h: e' _/ }& Q2 [ s4 j, c
;;i评价(j对jl的评价)
5 a1 K2 b8 \8 X8 tlet j 3% ]- |. ^' M6 ~& c. B5 r0 a
let k 4
) Y! ^9 I# M" G/ Vwhile[j < trade-record-one-len]2 ^+ ^# x# O1 F" X( N. J
[& ?. ^" `/ i6 ^3 ?! S$ P( q, f, a
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
- p; g3 m! k" o( p/ g3 Pset 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)
( |# k, k0 `+ a. f, k7 N/ Z: Pset j6 s0 h/ u1 k3 a6 y9 f
( j + 1)
$ j& j$ J$ ]* k: u]. ]% ^2 ] ~" u: S( b/ \ t7 \+ 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 ))2 k: a3 A) O! f* s* L" p$ S
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0 N1 F: P; H% u. W$ @( J
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2)); b& c4 l2 S+ r* `4 h8 f5 O
;;及时更新i对l的评价质量的评价, \8 i6 Z6 x7 O% @8 X
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]$ Q& L$ t$ Y' A5 n9 l* x
set l (l + 1)
q7 E( J$ F2 ]; i]) J2 o* E5 s7 i
end
1 v% [: s2 W* t+ ?4 j9 X* i) G+ z) R, V$ c2 z1 C5 t
to update-credibility-list
, |3 E7 M; h8 p6 U2 L0 ]let i 0( k+ T# \% q7 _) K* u/ r
while[i < people]- X+ A1 u7 K0 U7 {7 w, k
[ e5 R# p) w" N& G% e0 X( b( H
let j 0
5 B4 R; l1 d1 S) f6 k7 zlet note 0
& _1 l6 L) c# {: Q' T/ Dlet k 0
: F6 @& G8 D2 I;;计作出过评价的邻居节点的数目
0 E5 m! n: X* ^" K3 l! [while[j < people]6 j% P ^4 Q! m, U# Y4 O4 m
[" z7 `/ W/ H0 h
if (item j( [credibility] of turtle (i + 1)) != -1)
+ b: z9 l X6 k4 N# g4 f9 o' E;;判断是否给本turtle的评价质量做出过评价的节点! {# m: h! h( _2 f: \
[set note (note + item j ([credibility]of turtle (i + 1)))
8 R) @! v" ^) L% e& ^, d! g6 a;;*(exp (-(people - 2)))/(people - 2))]" R; ~% l- |0 b. X' g
set k (k + 1), Q6 p9 W0 A# y/ P, A8 }: ^
]; V. V) {# T% u7 C5 r2 H9 W
set j (j + 1)
! N8 v* A: {* M' E( `5 N]" R3 S, S ]/ _" Y4 v% C% ^
set note (note *(exp (- (1 / k)))/ k), R1 J7 w; d8 l! e) w9 w7 }7 \, D
set credibility-list (replace-item i credibility-list note)
+ t% C2 ~+ {/ {4 X8 l3 Rset i (i + 1)8 i6 x B4 z2 @ a
]
$ I! }+ m9 n: v$ ]* d( f! Bend
& v$ m+ b9 e2 ~3 M: C; f/ M9 A4 T3 C: c
to update-global-reputation-list! ^' h2 F" f) q d6 }6 x& X
let j 09 O9 V( D3 T/ u& I" h( M, D
while[j < people]
1 t( V' _, _4 |" F[- M; |/ m4 I' |" t: n+ d
let new 05 s2 t8 A1 n1 L) L4 E" Y0 c# l+ g9 l
;;暂存新的一个全局声誉& e) i& ^( q4 V0 C/ M, H
let i 0
+ h! f$ q( Z/ [let sum-money 0
* _' A4 |% R/ b) G4 X) v Nlet credibility-money 0
; T% q F, Y% j5 w0 pwhile [i < people]
2 X( i8 c6 ^. ^! O[
5 h6 a) U1 _7 yset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1))): J, d, w* ~+ M9 m8 c x
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))0 w7 G) T* T' s) I( B2 h @$ W
set i (i + 1)$ n8 y/ M; o- g" L! y' U5 G: b
]1 C. W5 `# z8 [0 V8 c" x0 O/ a
let k 0
6 L+ F3 H# X3 j1 D8 Y; r. H4 dlet new1 02 p0 g4 h0 T3 O* D1 s c2 @
while [k < people]
0 D/ v9 S* Q3 M3 S[
# ]1 n& q T# f6 I$ xset 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)
9 ?% F' g0 `& U7 f$ Y! Gset k (k + 1), F* S) j1 c- Z" x5 u; I4 F, e7 f
]3 {- w* e3 H- u$ _( `9 o
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) ! Z& D' a7 B; z# r8 e1 V5 h7 _
set global-reputation-list (replace-item j global-reputation-list new)* }1 r# ~8 _6 l* y9 l a1 A6 C& X
set j (j + 1)9 Q7 [& Q: J+ @; X7 t" h/ @3 V- _! {8 H- y
]6 E: K8 R4 a+ R& l
end
; c! ?( x; Y: y2 ? |3 ?5 }$ Y" M& v$ \: e
% i/ Q3 |, z% n
; J g& } q1 N2 zto get-color! V. J5 H$ N/ c* T( |3 e( ^
2 s- R- G* t4 x& v/ A1 H
set color blue
- @0 w; n2 |8 I' h, L& Dend4 g3 a# M4 e! b! M
2 F$ s6 \- [ B9 \6 j2 Fto poll-class
) P( W( Q# g) a, U9 a4 vend
, L' e7 A% n+ w0 g: w# P) b; e" a% g1 t2 g1 ]: S
to setup-plot1
) o' C* f) x2 u- o+ ~; S
' Q4 v2 _+ ]/ S! Mset-current-plot "Trends-of-Local-reputation"
# @) J2 w2 S5 A
g" C! f' L2 h6 b( l+ Wset-plot-x-range 0 xmax, Y2 R( v' d# i5 X- @
1 n- u$ V4 E/ W+ C: tset-plot-y-range 0.0 ymax
( b9 i# C7 B6 u( I1 e9 j! Q aend& Z9 Z" r. m6 @5 p, A
/ U% p% F* N G" J5 {- Kto setup-plot24 ?6 b* a- p$ z% m' c
: ?' k& m$ \ `6 j3 G! w* _, M$ Yset-current-plot "Trends-of-global-reputation"
1 D# J: G. e, s1 D x$ ^4 c9 {& Q+ Z3 h
set-plot-x-range 0 xmax8 |0 L# ^) l/ ]
- D: {& W7 _+ h0 `2 ]$ ?
set-plot-y-range 0.0 ymax0 P8 d: J5 L1 `. _4 r- o# @) q
end) T: \) v4 v7 G8 F+ \' w) O
$ L2 w: R0 t- R: h1 s& f( kto setup-plot3* R/ d2 U1 x4 r0 ], ^4 V
( f& r! s* h" p* t. R
set-current-plot "Trends-of-credibility"# Y% d+ A% s5 l7 z# [9 D
$ o+ ^5 \9 e- ]
set-plot-x-range 0 xmax4 J" i8 E- e( M4 ^$ p2 E8 H
/ ^+ G* U, M8 Kset-plot-y-range 0.0 ymax
; k) K( S& S# ^9 J4 {4 Xend
3 J; b" |+ _& G7 h7 j7 l
! s! C$ _/ [7 {+ X6 Q4 Uto do-plots h% u* W9 M! k# |( _3 S
set-current-plot "Trends-of-Local-reputation"
3 Q, [8 i- A" T" p9 v X: v' Pset-current-plot-pen "Honest service"
C# n& Z2 @+ ]7 H" [end
3 x+ j- Y6 d) p! x! @( W- y
% d0 g* s1 i: {; ?& g1 D9 _[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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