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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" R- O- w9 N. @/ m' o
globals[9 e2 f1 I" m) l/ J) _0 a
xmax
" w( [$ i$ C/ o4 K B" Pymax- i) p' d. h, y% Y: g9 p) Z
global-reputation-list
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;;每一个turtle的全局声誉都存在此LIST中- l7 s r5 P' V. {
credibility-list
9 o1 D V3 {- i! W! p6 D;;每一个turtle的评价可信度
3 |! v! D) _4 u* A v1 Ghonest-service" J- Z: I/ d8 p
unhonest-service9 F/ u9 f% s' k( y- }4 f. m/ [; n- E
oscillation
' k G8 x8 ]1 c y' [/ Q- I7 irand-dynamic/ E6 X2 x; @- S
]% O& Q2 I! G+ Z1 A! J, j
7 `3 K8 q2 v" }: C( M
turtles-own[# _7 u: b5 ]& ^% ~2 P# n
trade-record-all
3 J! Y9 ^, r/ b" z' R0 R6 w;;a list of lists,由trade-record-one组成
: i$ z" Q: D# [% F& s8 Btrade-record-one
# t l. d. u0 h8 D4 S' O;;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 c% b/ E4 M8 R, ~8 _6 I& `
! B! l/ |3 N6 F' f) |;;[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]]
* ]+ L* O# I, |$ @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]( ]/ [ K; R t! \0 z3 q @- L
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
! u8 x8 ?" \2 X" P; `neighbor-total+ p0 U2 Z; J- V% _8 ~
;;记录该turtle的邻居节点的数目$ f* h; p x. [9 s2 r4 i
trade-time
5 Q$ A9 h0 W6 I* k;;当前发生交易的turtle的交易时间
$ W: D' v' i+ K6 T1 z3 M/ Bappraise-give( a- ?. u% H/ b
;;当前发生交易时给出的评价
0 G+ A; R- W2 Y Q& K' {2 \appraise-receive
" v x! n9 q6 K;;当前发生交易时收到的评价( D3 V' [6 D ]' M L; A; k4 v0 s
appraise-time; |" P7 k2 L, E$ _
;;当前发生交易时的评价时间
+ C% C! z: ~2 n; A- q9 M% Y: Qlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉) P6 n, i Q8 t. U! s
trade-times-total2 l6 [9 w- e3 d3 U0 `' L2 v' ~
;;与当前turtle的交易总次数
5 ?8 D" |6 _# }; u0 Z( C9 \trade-money-total
) I9 V( V, v5 H3 r2 D0 ~! b;;与当前turtle的交易总金额
2 _& v$ z$ t' t1 ilocal-reputation
9 `1 y# L9 T! k: l0 Oglobal-reputation
- p& N+ t4 b0 z# L" y6 z5 Vcredibility6 @+ S& z) n8 S0 L/ K) ?+ w2 e
;;评价可信度,每次交易后都需要更新; D5 x+ Z% y. ^$ C' `
credibility-all
: H3 R% |$ `( K;;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+ u+ Y. B0 }8 y- J$ {. ~. q
' }1 h. {0 J) _% H) N6 _
;;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% |8 }& u5 O3 w% X4 ]1 P* ?9 C
credibility-one
" v8 _/ ?; B- [9 L/ t% k;;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! u' H( }% h+ v6 D; W/ R) L- ~
global-proportion
7 U1 X/ |' Q# B7 T8 l7 ]customer
: N$ g, g- `6 J9 u; _customer-no
1 j8 s$ {1 J! S9 Q) J; |trust-ok
! i- @1 T( Q0 R1 w9 mtrade-record-one-len;;trade-record-one的长度: _0 I* T: J. w% z# z3 G2 R# ?
]
- `1 \0 B9 ?" Z
% R8 V0 E' ^* O1 Z;;setup procedure
d: n7 B. j! U0 ?: ~/ h% m! X
! D! D- n) R4 sto setup# r& F2 Q. e- P; M6 R! _6 f
2 i% s) ]8 n, Y! G; g Aca
) [1 a7 a. ~. V; W8 h& W2 [+ s# ^0 B: a5 }
initialize-settings
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+ u8 P7 s$ Y. @$ y# p8 ecrt people [setup-turtles]
+ o7 O0 ?* H9 D$ D% b$ [9 I/ _
, ]# N8 K" m4 k# m" E7 mreset-timer. b4 v, r+ J, T. ~8 B" \
# V3 V9 Z" {2 ^* k( G r0 j
poll-class1 A$ u8 @( P% G P# k) }' I
$ ?2 @% U( ]1 t9 x; k$ z$ Fsetup-plots4 ]( v) d- w+ g
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do-plots4 E; H, `* ]6 u
end+ ^$ D6 m5 L) H' s7 x( L2 t
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to initialize-settings
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set global-reputation-list []
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* ]- c. h% k. p5 z& qset credibility-list n-values people [0.5]. u% L. l3 x" ^; N: y T( D( v7 K# R) w
9 K" _# J6 x" j- @9 x/ x1 {set honest-service 04 b, ?( Y, V8 B& ~4 \4 a) p1 j( W
& A8 T6 J7 n t9 p }3 @, @
set unhonest-service 05 m- a- {9 Z$ }% F! D
$ C6 u F k$ `0 V. o
set oscillation 0: [* F* @; h0 H$ K3 O
p; N. z6 B1 C. Q, z7 ^
set rand-dynamic 0( e& N) ~) ?6 H9 J/ d6 h
end, k; y- d5 a8 e. U! S. l4 a
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to setup-turtles
" B$ ?/ g* a0 D7 Sset shape "person"7 g+ a' t- r4 E% s
setxy random-xcor random-ycor
; i0 f& t6 Y: b3 h1 a/ X) i: pset trade-record-one []
, I- z, p/ C3 ]) h
4 t; n D: t- h! S) J% Bset trade-record-all n-values people [(list (? + 1) 0 0)] 0 C: T: ^ b1 K9 z1 X0 ~! ~
: h# j2 I; Z9 j' A8 i- Q4 J
set trade-record-current []2 J9 N& ^2 S+ I4 f6 l w, q, {, X
set credibility-receive []# C! _, W9 I# G2 N& g. x; _0 E1 Y
set local-reputation 0.5' v% k% I: X' ?9 [( Y
set neighbor-total 0! A- b# m* Z8 o9 B5 A1 k7 z
set trade-times-total 00 O1 g2 |- p& T
set trade-money-total 0& Y1 u& i m; b0 ?
set customer nobody
+ m# {* ]& J0 R' dset credibility-all n-values people [creat-credibility]
3 k3 N: Z/ a( q8 n" E' A+ C3 H$ zset credibility n-values people [-1]
* y! p! S7 S) Pget-color
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end
# Y+ s( t0 B2 D
" k1 [8 }( c0 R; W7 ^0 Ito-report creat-credibility
% q; X; D7 ^+ o" W' S3 S+ D6 hreport n-values people [0.5]
3 V& \% H1 ^- Y4 ?0 n! _end. _5 M5 z& i9 l" @1 A. B
8 V, r. G( E, r. c! v$ C
to setup-plots
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5 a1 Q+ z, x* S# \5 X, o" zset xmax 30: x3 Z& F/ R/ B6 J% I, j+ X
5 {" u6 [. _% x$ E4 w$ M c! Fset ymax 1.0
( K5 r' `# C- @3 V7 _8 H1 Z" `3 {; R" g7 @( }4 o) W
clear-all-plots
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, T, ~3 s5 K5 o' U0 C3 Fsetup-plot1& s6 t) U' j, p: L2 ]" B
# E: J; u3 t( q6 Isetup-plot2
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setup-plot39 p, R" a1 x/ H, w& ~
end# b S# c" Z' ]2 a
/ s* `9 M$ M$ E/ H;;run time procedures
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' \ W/ t9 A6 z0 P! }% Sto go
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" E0 f$ s$ {4 l8 aask turtles [do-business]7 H. ~9 x% ?7 i( q7 D2 `
end
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to do-business
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1 P( H; _- Z2 V- C4 T; n% Z$ X' b& L/ `
rt random 360
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; g: l! _0 Q' u% N% P! N: U+ nfd 17 t- U) v6 b S7 o2 h4 h8 E! M
( Q% x" n# I1 \9 H" {6 \% x% Iifelse(other turtles-here != nobody)[
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set customer one-of other turtles-here
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8 Q" F, K' Q* T1 Z. w. |! n9 v;; set [customer] of customer myself. I6 S/ v9 b0 ?0 ^* r5 F
9 K2 d) ]4 w7 r7 `# @+ z
set [trade-record-one] of self item (([who] of customer) - 1)
8 z; E# \" M+ ~! C' K2 S; V[trade-record-all]of self2 }! v4 t: `1 D# y- [
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
8 @0 ]5 M- ?" |
. s; T0 R2 h$ Cset [trade-record-one] of customer item (([who] of self) - 1)
9 d7 V* J6 j- Q[trade-record-all]of customer! ?/ `' j; J, r- d, ^6 }/ m, V
7 v1 \- E" T1 B& m, H4 K0 p3 Wset [trade-record-one-len] of self length [trade-record-one] of self
8 r; {& s7 ]4 H- P! b
/ }/ W$ G* b" l5 gset trade-record-current( list (timer) (random money-upper-limit))0 i, x3 b) @" j2 Y+ J7 r7 Q
7 }9 Y: @4 X! v$ |' u
ask self [do-trust]( u1 p* }) g& l; Q8 o4 h' {
;;先求i对j的信任度3 B4 d* x7 w/ v8 X3 G, t
6 X4 S0 X) N, Y- S) ^+ U; V0 ]if ([trust-ok] of self)' t6 o) {( T& d" E4 j& j; Q
;;根据i对j的信任度来决定是否与j进行交易[
* i8 `; m' e/ O& _' j/ [4 dask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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5 A! K0 ^9 w$ Q[
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do-trade
8 y9 K* o: {+ x' U
; l1 [5 m4 a& v6 Mupdate-credibility-ijl& R- t2 r K' R5 t
: v6 w u- x2 l6 h Z7 X( d Nupdate-credibility-list
" _6 |. w$ P% W8 H9 c, i
5 {. q- }# ?$ L) P
; T2 S( I" o5 Kupdate-global-reputation-list
: B$ f- M Y5 h I2 s X6 ~2 |: h7 h3 n* K
poll-class: C9 ~1 x7 k8 O1 F1 E
- u9 R8 O/ X8 Z
get-color
3 A% ?0 v5 A2 O; I5 Z
# p! e p( v7 D% Z6 I, ?/ k]]
" D! `3 U9 q q3 w& R* [( |
$ H) H4 s, e6 o0 q) X0 ?;;如果所得的信任度满足条件,则进行交易 t+ u9 _. \5 Z! X9 |4 o
# ~ J0 ^, c) j' p7 y; q
[% U+ N5 I; N, p* W
7 o6 S: Y4 _( b8 ^% u' X
rt random 360
+ `7 R0 @2 g! n- N: d4 n9 \; L, j. |) U& B" C0 w! o4 F
fd 1
! y5 S6 p; W ?1 H$ G8 d$ d) Q% Q6 t; ~6 L5 }% v
], P9 U2 G% C0 j
9 a2 d4 ]* {# D5 l/ Vend
& [1 k, L/ \5 { _3 B0 _/ \& p% i" l6 Q& ~
to do-trust
% r/ ^1 ~( @6 @4 p& Kset trust-ok False; B: B% l8 r9 @
0 h" ?- u! _+ \9 L9 I" ]
. `8 d) ?" _8 ]; o% nlet max-trade-times 0, U0 L3 B. ~% M" k
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
, P$ M) F7 j/ d* Z7 O# @3 nlet max-trade-money 0
9 m) Y# z7 u) C# C) n4 eforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
( a& |& ]* u2 [let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money)), } x5 E2 J* K S
! ?, x$ }% B( t( ~8 p& Z$ W9 d% Y2 J( r$ J1 o! A
get-global-proportion
. a1 w) W6 I R+ [ slet trust-value
: d. J; {4 b, n+ b9 j1 s* c7 Clocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
9 U& i- m5 U8 F7 O' I: aif(trust-value > trade-trust-value)
# J6 L) g' g* P# \( N[set trust-ok true]
# o% F3 a6 v7 y, Eend
7 S6 f1 ?+ G; p/ j& D- q/ ]2 M" O; R0 y$ x' M0 n! Z4 ` q* `
to get-global-proportion9 s2 P, a1 R* g6 |- R: |" L
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3): S* \" o R" y6 t. P v/ h
[set global-proportion 0]/ x, J+ W2 v1 \
[let i 0
) e" y& Y% U7 J' O1 B0 E6 k n0 Llet sum-money 0 z5 U4 {; ~! _" I, i; t5 F
while[ i < people]0 T4 a; L! D( ^! ]$ E+ P% ^) c& @
[0 x, a6 j. ` ?3 J! ~
if( length (item i
+ V: Q: P, g3 _% b0 v[trade-record-all] of customer) > 3 )/ _( p7 \; Z$ x
[
5 @- r T" S8 q2 F8 B. Mset sum-money (sum-money + item 2(item i [trade-record-all] of myself))5 g" P$ T; {& V+ Q4 P# h" p
]4 @+ |- i7 t, \7 V& v
]
0 P7 m8 b1 L$ V/ W! Blet j 0
4 H, v3 ~2 j) D: S2 O& u( J, Blet note 03 L! x& v$ I+ |0 k! P* h/ U
while[ j < people]+ C0 `2 k6 i3 c- }# B' v6 U+ \
[
+ S6 G2 ]0 X: q- A' X) ~if( length (item i
* D; ?: T- F5 p7 d5 G( M# ^) k5 k[trade-record-all] of customer) > 3 )
c: J8 Q! G9 H0 Z K. ^[6 n8 M0 Z" J' V8 |3 o2 |3 n
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
; p3 v4 V' W& w[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]3 s" I/ j" b3 y7 G, ^ c
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]9 @7 r+ E1 v% w; u9 P9 t
]
. o& ?' x) C( n( J]: p7 U; [5 Y' K: f9 Y7 N5 J
set global-proportion note, I& A; T, w6 t! l' B* v
]
% b y$ b! ] u& U/ w& b( y& Gend
% Z( |/ u- O. k+ l$ ~" ] {; Z# J5 h0 X. w( t
to do-trade
- A; Z% }/ u3 e' ~- j4 w o;;这个过程实际上是给双方作出评价的过程* l" Q$ C R t) x
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
# Y S% m+ s0 U" G0 P- e& Mset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
& R! Y! p6 U* w7 d( ^set trade-record-current lput(timer) trade-record-current5 u0 }7 C0 [/ E% [8 s
;;评价时间
* G5 E1 p5 K! h4 `- R4 n- _ask myself [
- A$ F( ]$ M6 N6 Mupdate-local-reputation6 j, w0 L6 q! w s, v0 G) o
set trade-record-current lput([local-reputation] of myself) trade-record-current
/ g$ l) b7 ?* W]
+ ^ r. n1 ^$ Pset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
! `" g$ g- {" y% o;;将此次交易的记录加入到trade-record-one中. I; T+ `! F! I, k3 x% n9 n
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself); k W+ O2 T0 Y* l& ]5 z
let note (item 2 trade-record-current )
/ {; g0 d r6 v' S! oset trade-record-current
( N; z% U$ m/ P6 X! f(replace-item 2 trade-record-current (item 3 trade-record-current))/ ]2 A& p. I( E8 s/ ?- y
set trade-record-current
1 e) C0 o* U+ D; w3 t- v6 l8 }(replace-item 3 trade-record-current note)9 N. @6 U P8 w
6 Q& `( t; ^5 D3 w2 f4 o# s* J8 D( `
8 l% p% X: c6 D6 {+ D5 z2 Oask customer [ i% h7 `3 N+ z. ]4 R, N
update-local-reputation T2 Z7 T) s7 i+ q% Y0 K8 b0 D0 m
set trade-record-current7 l- _" R9 J$ J# ^5 a* b
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
2 b4 Y/ Z: B, P( d]
6 w+ Z7 z; F* W+ c) X) o i+ i3 H4 `) w) _6 d' Z1 M
8 k" R% D9 Y/ z6 o8 S% ^
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
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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))' S) N. n, ]/ w" J; W8 ^1 q) I
;;将此次交易的记录加入到customer的trade-record-all中6 p( b! P! T d/ X0 b
end
7 T& h: @+ R# R5 L& q1 S
% p- y; g3 u* E; e' R8 @( E0 j Z) bto update-local-reputation
% _% O# c2 C' g" t* k* n7 r+ l+ Vset [trade-record-one-len] of myself length [trade-record-one] of myself/ n0 P0 |2 k8 K* i- _5 c
( K5 f! e% y* B5 z2 A
) A, g" M" u# B. D9 d;;if [trade-record-one-len] of myself > 3
4 n) M |4 l! U) Q' P1 ^( d. ^update-neighbor-total4 @% ^% ^. }% }% y3 k
;;更新邻居节点的数目,在此进行" i3 f4 S" w" R# X1 h3 I
let i 3
5 e9 m8 E2 `+ F9 r, U7 plet sum-time 0
6 N4 U7 X- \9 M2 G! K; cwhile[i < [trade-record-one-len] of myself]
! E/ E6 R" N4 W9 A6 [[8 y; @% f2 ~# S. n* L0 F" C# b+ U
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )1 }) _! o0 y& X1 w( G; y! ]. e
set i
5 B( P4 x e9 b; r5 E& q( e( i + 1); j/ x+ N3 B; s8 k2 ]
]' ?( }3 i; b2 u4 ~) I
let j 3, [- d. _5 f6 w7 m. u, a* O
let sum-money 0
g. [. B& \7 h x( \while[j < [trade-record-one-len] of myself]0 b3 j* l4 k3 R8 ]7 J
[* C1 y3 e7 y- S& @. h% p
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)9 ^* [+ H h& X& }& K5 o/ y
set j
5 M5 p: e0 e3 ?8 ]8 F6 u% ^( j + 1)
6 @5 C+ K, d4 p* C& j; O/ x2 V]
) L+ z: Z) ~7 E5 ?# elet k 3
- d) v: B6 _5 W4 Z9 H) K8 }0 ?let power 0
0 O ~. x' t9 Y, Y8 p9 xlet local 0
5 H9 i5 ~. w3 x7 E% U* p+ I3 Twhile [k <[trade-record-one-len] of myself]
8 S6 T0 A9 [ |[
6 m# c! t6 c2 l+ }2 |! S# q4 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) 1 W$ w# u/ Z& D
set k (k + 1)* |# u& c& u6 Y. B
]
' Q* G( f. U% p1 tset [local-reputation] of myself (local)
) S- l, g/ j8 Q" X0 @5 xend( [. |- d# ~3 N' X. |4 @: r" k6 D
$ ?, O7 R/ z5 Q. a4 I$ o6 {to update-neighbor-total
0 H" [4 n9 A0 _4 E3 A2 l" w1 n3 b. q" B- l4 T& U4 |0 ]
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
- ^3 d! V- E" A
o7 ~% k8 k8 t0 j& N0 c2 D& p9 N
& b. z9 q" d8 G$ s4 wend
- R- |1 A: u4 ~ R) V1 }1 t+ S( }3 [- b! |7 ~0 t& Z
to update-credibility-ijl 6 `2 e& t- Y% L R% k6 V3 b
0 Y- ^ A1 ^, y1 I
;;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。. Q8 c- w7 b* H3 T) b7 E
let l 0+ ~, ~' @/ X6 Z
while[ l < people ]5 s, C9 t* R8 k
;;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
w& X* N! T+ c- O) Z[
' C& c. r1 z, q% l4 f8 g: Klet trade-record-one-j-l-len length item l ([trade-record-all] of customer)% k" T6 ?) z$ J
if (trade-record-one-j-l-len > 3)( g/ |& H6 v9 Z% ]7 ~
[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
1 t0 q" v/ A. D8 v6 hlet i 3
& m F2 H1 f& a; ]7 blet sum-time 0
* k; q3 }5 c2 p( Mwhile[i < trade-record-one-len]# k: C5 i* \1 I( [2 t- q1 L) ~
[% h6 w! N( a- D
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )# E% M& s7 e1 e/ p- c& ~# w
set i
5 W) A, W8 d/ x. z3 _# ?5 T( i + 1)* h1 B: @& W8 U/ f- j+ G
]8 t7 K8 {) T4 f. G, A
let credibility-i-j-l 0( J$ S* {5 p$ [' w. L
;;i评价(j对jl的评价), D- Y+ P* I! T. h
let j 35 D8 Y: D Z; O3 G
let k 4' F/ t0 j% F% x( F; j6 |3 J
while[j < trade-record-one-len]7 U/ e' h* _, X% f/ U* w( |
[
3 _" D; _; L! ?1 jwhile [((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
" c& V) D# k% N) p, ]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)
' f& b1 W! U* {set j
' G" m# Z+ x, W6 o* ~$ x1 r( j + 1)0 W" t/ l3 e1 j0 c) R
]% G) m+ k0 k. {+ a
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 h0 \6 I; ^, D& q+ a* R/ _2 ?! V# Z- b8 U
! ]9 Q3 _6 }9 E% z3 t9 E t
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))3 r5 y- ~# d) O' o
;;及时更新i对l的评价质量的评价: Z0 {1 S( W* k* C
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]9 `3 F' b/ |3 ]: q L5 Z- u. v% I4 p1 B
set l (l + 1) J0 x( t) z4 B$ @0 F: T
]
' Z$ W1 Y2 t! J, K& pend
8 A# k: \* ^7 v) q3 p! C* D- d1 c8 U1 d
to update-credibility-list
3 n$ k( F' X2 R' k; y+ dlet i 08 g" I. t8 ?& ?0 R% G/ b6 \; L! f
while[i < people]9 N9 D# T! d1 Y3 l/ K
[* s% Y# \4 h# S+ w l) a2 @
let j 0, |* J; ^, @9 o( n0 B
let note 0! T8 @; e4 T( q& H8 V
let k 06 m& b6 I( t' N2 Y
;;计作出过评价的邻居节点的数目
8 Z8 _* |! _' bwhile[j < people]9 C2 G7 v8 |% z& r' a& g
[' I. N g% w, i; n4 b8 o9 Y
if (item j( [credibility] of turtle (i + 1)) != -1)
) Z0 r4 d1 T1 Q;;判断是否给本turtle的评价质量做出过评价的节点
' K; r0 W* ~$ j/ k[set note (note + item j ([credibility]of turtle (i + 1)))
# T! D7 v1 ]1 R s% g;;*(exp (-(people - 2)))/(people - 2))]0 Y/ g* @5 n/ J2 c
set k (k + 1)5 Z- E$ P+ [2 Q. P6 U
], m9 q J& p; k% Q% Y- h
set j (j + 1)4 L' u- b) M) D) Y$ y( Q
]
9 i- i3 V" N9 ]set note (note *(exp (- (1 / k)))/ k)- i2 V$ U w6 C
set credibility-list (replace-item i credibility-list note)
& J: i# T( U6 M0 K7 u: M% X* d6 qset i (i + 1): \3 r% L# |+ a) H* s9 |
]: @* @) ] l1 K4 [' H/ m5 T
end5 P8 Y: e* ?5 I# v$ [' M
7 g9 L% G2 u e3 c& C: c* B
to update-global-reputation-list; S+ P# R4 \8 m2 @) `3 ?
let j 0
& _0 D0 c; Y" ~while[j < people]7 o6 o' L" ^; G s& w7 u. z
[2 ^: N- t z3 X
let new 0
- e9 V* a# m, ]5 S0 M* S, v4 y, v;;暂存新的一个全局声誉
# r/ s' h6 D( J# u5 G* g- Mlet i 01 c7 u" L: n* e, V9 `8 ]4 j! x
let sum-money 0 |! Q0 e% _: W3 T. E- l+ m- G
let credibility-money 0
: f; h8 U' y" {8 awhile [i < people]
3 ]1 [* l3 v: ]$ |/ ?* [+ K0 j[$ c* x" n# |2 s9 F- V2 o& r) e7 t
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
6 T: a5 z! }, B* B/ oset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
+ y8 e* P! i! D" f) N% Eset i (i + 1)" U( O+ S. R7 V
]
6 w) j; V0 D9 b( [4 e+ qlet k 0
4 ?) O2 c$ Q) L: _/ O3 S. t! W, nlet new1 0' g7 | }# e! M. c" v
while [k < people]
3 |+ c5 E: i _ H3 b6 Q[
7 _+ r n6 k- u5 Iset 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)! S& H! K( c/ C. r( j; [
set k (k + 1)1 U6 i4 H0 F/ W- d
]5 ^! W7 M3 A* p3 d2 l3 [
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) # n3 p' N4 Q& V& C8 ?) O: Y
set global-reputation-list (replace-item j global-reputation-list new)% F7 z! x j& L
set j (j + 1)' {. i5 i" W8 B9 A% }$ R3 k/ m; v
]
- I7 }- }) q& r' l: U$ Aend
" \7 `7 }* j% ?6 D4 Y* l _+ U, ?4 X
! `, \2 c7 y. c5 n8 Q- N/ F
( f% X& d: Y9 p; p5 E7 dto get-color; M h0 i9 m0 L! G* w
% Y* I) q2 T" i4 T( ~set color blue d) j' V) w2 A5 D( H6 J( R
end7 i2 ~ V* s3 N# [' f
8 x. Z& y# B% S" o4 S# `* H* d
to poll-class: f% N5 g( f5 L% ?& U" ~; G! \" {
end
. g9 h8 l G2 y% A
+ {3 O g7 g- S& b2 v' x6 T6 ~to setup-plot1
, }4 d2 e# j0 H/ H: _ X( N: e, @# E/ X& t: w
set-current-plot "Trends-of-Local-reputation"9 Q1 c6 x" n- ]
/ j" g! s/ `' x& Z0 ^/ K" \
set-plot-x-range 0 xmax
, B5 ]3 o& P! M" U$ i
/ I) C4 k0 i- gset-plot-y-range 0.0 ymax
7 p! b3 L0 C) }9 }- vend
7 s+ L9 J( U5 F9 M+ a; ^! }. E( z* v( j/ C* M0 Y2 q. @
to setup-plot2/ E" N: i# U; V6 Q" C4 f; z
- _% q* L' f' I1 `0 e8 w* U) A# a
set-current-plot "Trends-of-global-reputation"6 m- s/ @! U4 v. n6 F
/ Z& q. d5 W1 p6 k0 Lset-plot-x-range 0 xmax( F4 P8 E+ j- p4 A; K$ q4 F) ?9 L d
+ [4 Y: {" X! w# r% v {set-plot-y-range 0.0 ymax
( U1 i8 ~, I% H: Hend
) p4 G/ V9 \9 p$ ^/ X3 ?: _% [+ B; i7 D" a6 z2 O/ ^ E
to setup-plot3) v X7 t6 f3 H {. r
2 p# K- H, g7 n5 Wset-current-plot "Trends-of-credibility"
/ f& Q- n0 a- t% P. X. _4 O Y! u; ]1 r; V. y
set-plot-x-range 0 xmax9 u5 z( n' B! D9 [% E4 @* L
" V) a, p6 B9 [% O$ y( ?0 lset-plot-y-range 0.0 ymax( l; _3 j6 n3 W% g
end
$ g3 j" |- t/ R4 \6 P: z% K
- E8 y6 J; _" `) C. z6 _! q0 Pto do-plots
0 ?$ Q5 [4 V7 G( M K% h) }2 Fset-current-plot "Trends-of-Local-reputation"
; g3 i9 U2 Q% P! H. hset-current-plot-pen "Honest service", D. X; ? H2 e8 n3 O. S, R3 T
end
4 |6 d; d' X& g! P, h- e
# o g8 E/ l- ~8 K8 ^$ `[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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