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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6 l* f, J% q+ K0 ]/ H$ |
globals[$ {+ L6 S' j4 q; }
xmax# ?" P- s0 I' b2 f" \# o
ymax. a" o4 B4 [7 I, z8 C A
global-reputation-list' s: S; x2 g+ c/ A1 L
7 }; A' S+ E( V( x: `8 |4 l
;;每一个turtle的全局声誉都存在此LIST中8 {0 `+ h! n0 D$ r* A- o% k0 B
credibility-list
5 @7 V% X& V D* Q; m' T& }7 o;;每一个turtle的评价可信度2 J7 u6 i; B( p" y/ o
honest-service
) h& r+ |" o# Kunhonest-service
$ |2 g b `& J( ^' C$ U" M0 coscillation
# l$ u9 G: y$ wrand-dynamic* i, w4 V7 u* J- @
]; C9 m1 @ O9 ^( ?6 j; W
- g6 U" |0 x. A
turtles-own[: |+ w2 V$ b% l* J' t; B- d/ N8 c
trade-record-all+ u% B! j/ ?5 p/ N% m/ S, m
;;a list of lists,由trade-record-one组成: _5 o& J. B1 n7 D- z% w% C
trade-record-one! o, }' V5 M7 }( G+ t
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录$ L i0 y: I) H8 e
+ U+ G u3 C" S8 ^" e, W;;[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]]" q) h, `! O: D* P% A' M
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]$ X5 Z0 W+ V* A' r; i `9 u0 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list/ x6 k0 S8 h* ^+ j; }$ B
neighbor-total
0 [" q( D9 u1 P$ y& l;;记录该turtle的邻居节点的数目
r( h0 d8 d2 b8 K1 P8 d4 strade-time6 c* t6 Y0 u0 Q( a
;;当前发生交易的turtle的交易时间+ _5 i J: F# h5 `- ?. s
appraise-give& r5 B+ T; H7 |
;;当前发生交易时给出的评价* N4 Q* t F( ^1 t$ f* A
appraise-receive! Y) P6 c: Z0 O! j" Z
;;当前发生交易时收到的评价: C+ T8 ~* G) p! D
appraise-time
2 L0 y/ K! \5 Z;;当前发生交易时的评价时间
0 G8 S/ }6 [& L( s( k* Rlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
4 O, Z$ r1 a: I! ^! D7 ntrade-times-total K7 y' N* t( T2 ^% i+ Q
;;与当前turtle的交易总次数) X3 t& g# q7 ~
trade-money-total
: K7 j- N9 K& V: `3 I;;与当前turtle的交易总金额
/ H5 b8 G4 a* x9 u; [0 e ]1 clocal-reputation. J5 t" y& ^% H2 ^( `4 g' u' E
global-reputation
8 b( N% @& g3 j. I) ecredibility& ?0 i' _6 i; h8 E
;;评价可信度,每次交易后都需要更新
+ f8 ]4 s% F& }4 gcredibility-all
: C+ {+ j1 f- M( x;;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3 t, f' r9 ~/ J
1 d1 c6 p" B6 I# ^ X6 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0.58 j; [& I/ Q$ x
credibility-one7 W, H2 Y5 H& }2 }8 m$ U& N
;;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7 n# L; I1 \; w1 D* y
global-proportion9 V0 ^$ w! Z) k/ G( ?
customer( r. V3 E, m/ U% d! j
customer-no
6 \; D+ W) B5 btrust-ok3 i. `+ ^8 i- G6 M" \* f& }
trade-record-one-len;;trade-record-one的长度
0 n# _" I2 G5 c, a! []
% @3 }7 D+ G" R& M8 O4 ^ i
# L6 t8 a; Y& X# O4 ^4 s;;setup procedure
/ y7 N7 }. K& f. ]; D& N
5 b3 S2 ? f$ k$ O8 r* k; sto setup- C( O4 k7 ?5 e6 l% x, |& f" u
3 j% @6 E/ P! A1 L& c* d6 q3 [ca
* H8 v/ j8 q5 i8 C* a
, A9 b- A! Z2 W: g+ Einitialize-settings
i/ `$ w9 e) g% Y2 @& n: R) `: k$ A0 ~% s
crt people [setup-turtles]
6 C- `$ R9 {5 o; J. q, ?# Z4 |- E: ~) N; g6 K: m4 k
reset-timer* H3 ]9 T' } ^
0 ]* ]" c$ |) N; b! [( M" Ipoll-class
2 f5 e! b2 P; z: Q2 d
1 \' y# i* B! f' C2 Hsetup-plots4 J9 V x4 M9 j
6 l; @3 D3 q; P
do-plots5 b" }$ ?1 P, h0 X" L* t0 L
end, i1 J/ p- _/ C9 g; V
4 l8 `3 v$ `! u6 l7 I
to initialize-settings
! v( |) z3 {& B4 @) M' F( `& j6 ~) g: }/ i& P% c
set global-reputation-list []
9 a1 _( {4 j* B3 E1 J+ M) d
h# e1 n1 C+ b) w& {8 zset credibility-list n-values people [0.5]
! c8 r. K1 a( L3 D/ s8 {( s$ z: h' ?0 ]% q$ l- G' B
set honest-service 00 K! ^! s/ @ _( {, b+ `& @& o. N- X
6 |* y3 I3 T7 Tset unhonest-service 04 U2 j' C6 @- e2 @6 [) g" q% r+ e
$ b" r8 b; }5 d( @2 a% n# N$ kset oscillation 0
( A' X; t7 V7 d2 u5 A- A! `5 l5 z" [9 ^0 Q
set rand-dynamic 0
) E" R* K% }' ?# Q i, Oend
2 I" N2 m, W6 R0 {0 [6 Q4 A$ g. ]) B+ n+ R
to setup-turtles 7 w+ _- A' W( c9 L) }1 {, c
set shape "person"7 Y9 L; V' j* z0 F, c8 p0 E; w
setxy random-xcor random-ycor" s* e9 x8 l* o7 a
set trade-record-one []
7 U% P F& v, {4 f, V
! h% s' G" r+ [# H" [9 _/ R) wset trade-record-all n-values people [(list (? + 1) 0 0)] ) a( K9 [/ g8 C. C$ Y
+ V0 R; ~; B% w! U" e& jset trade-record-current []
5 z+ s, \* H& G9 j" G+ e2 l' Y: Mset credibility-receive []$ v" n. Y' m1 T* i: n
set local-reputation 0.5
. M# e' ?- \, S- M7 Bset neighbor-total 0
a d& \1 D7 r9 Gset trade-times-total 00 x* ^7 T& v" W8 K# K
set trade-money-total 0( Y$ |, K4 q3 Z/ N
set customer nobody8 k/ d2 y* | u! |) |9 ~0 b2 T& i: z
set credibility-all n-values people [creat-credibility]
" N; ^2 z, ^3 kset credibility n-values people [-1]5 t& x7 S0 H. d+ R
get-color3 G# h5 }3 L# ?/ C! o5 m% R
0 p( @3 p- x' ~5 cend" [( u" N$ F6 X3 k) R. v* V: F
! l: S! x) V: [to-report creat-credibility$ O8 e* ^' m' o. k
report n-values people [0.5]+ j9 L1 l' c9 q) n( L
end
* Z4 L% }, E! g# X6 d1 f
% }, v& H- w6 d3 oto setup-plots
C& i- ^; N0 V, h6 T' N8 O( x! [# N& E3 q$ d9 _* I
set xmax 30( u% z% O" r+ r1 C
" @9 u) c5 E6 ^4 ^8 Q$ H2 _set ymax 1.0
9 v9 @# d' S" C5 v* U3 h7 g1 W) C1 ]# t7 `- r3 `) w( R7 f3 g4 N
clear-all-plots4 `$ M9 a1 C" j. H$ v
1 W# Y B3 c- v/ T1 J3 `" Csetup-plot17 d/ H z2 m4 I2 K0 Q$ W5 ~& c
; g% ~$ [9 a$ k) J+ Z
setup-plot2
% C9 x5 y% r; K0 ?! m2 t7 K2 {! B/ Q) |0 P) ]; y9 B. ?% Z
setup-plot3
2 o( s& ?$ U! E+ d7 {% x* cend
9 W4 b9 j6 D8 W8 s' V: V% t( W4 |- Z( [# t! ?3 a
;;run time procedures9 h: _! J( I2 {3 E
, _9 r5 E4 r8 G& t5 ~) v0 z
to go( Z* H; }& p1 t
9 ?( ~/ d9 G& B M
ask turtles [do-business]
- I7 ?; n# }+ M0 w% @6 oend3 q8 o6 ?& w9 {, ], y
5 e) ^" \6 w1 S4 p3 z
to do-business
# i4 E5 k* P) u E; A
( ^! \$ K$ u( Q( O/ `& f8 ]+ _1 B$ z& K; r
rt random 360/ _& y* M# K q; a
/ x' v" s. ~3 K5 F7 b- N+ w
fd 1
( |, Y5 B3 f* ~6 {# P2 I2 S
% C# A9 e' u# Y2 Sifelse(other turtles-here != nobody)[
) B0 N5 Z* u [& l
: b4 I# W2 z9 s1 q7 nset customer one-of other turtles-here' \# {+ P8 g9 Q& P$ B- Y2 H& Z, W
6 J/ {& u2 {1 x( E% b' Z
;; set [customer] of customer myself# I4 B+ s# d3 n' H3 N/ P
& _) C4 O- x, `# s$ p( O$ h0 Eset [trade-record-one] of self item (([who] of customer) - 1)
* X1 @8 Q3 Q( i1 |% w# f* ~8 r+ r[trade-record-all]of self( _8 s7 y. X: a+ [: r6 z
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self* z8 a( o6 r/ {$ w' n& Y& G
1 `* a3 ~, [5 v/ n: n" F
set [trade-record-one] of customer item (([who] of self) - 1)
; w G; X b4 M% F8 R[trade-record-all]of customer
' f6 W& D7 c( {/ n& s: N# C q4 a3 k* S0 K2 T
set [trade-record-one-len] of self length [trade-record-one] of self
/ u, l3 {7 |! q5 t# E& D
& N9 [9 s6 X$ I7 l: W6 Uset trade-record-current( list (timer) (random money-upper-limit))
9 B+ r1 P. q* D
8 i' ~& N& H( M" R2 J0 A! s+ @1 Z% Wask self [do-trust]
/ h9 P! t5 a8 @8 }& }% n;;先求i对j的信任度
" s# h9 M+ X- s3 X* @+ p2 f+ n
+ U. V3 s$ s& Iif ([trust-ok] of self)
4 n, D: N4 M* Q;;根据i对j的信任度来决定是否与j进行交易[
) [2 B0 w6 J7 B2 a& _( o2 task customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself2 U" K9 i: X3 o
+ D5 m6 W y8 D! d) I* t
[' N, g6 [7 e" V9 z
0 `3 w+ p8 c' g* }! Odo-trade9 k+ q( N. M1 K \& E/ N% S
9 u1 l" ^( x7 z+ Jupdate-credibility-ijl
3 A: i7 h- Y: b4 Q3 D& K$ }) s* h( f$ V# M; j1 T) T
update-credibility-list5 o2 r. \; O9 X. P1 ?& [1 A
( U& \2 C( R! ]: t
- m% a/ V$ X9 [' _9 `4 ?& \* @! supdate-global-reputation-list
/ S' x2 p1 O# S
8 T N1 v( b! v" z+ Gpoll-class
+ H1 k% k3 N2 I' H# O$ N. }3 w6 i7 [/ a5 ]- _$ K
get-color3 G5 D; A @3 B6 l+ R& a( L5 J) [
: O, q+ D$ i# G. i h" U
]]
6 v6 g9 \. y. V e3 R# L8 N
5 E8 Q7 b" ^, a' P;;如果所得的信任度满足条件,则进行交易
$ {5 x4 H! n- m V) Q* r9 W
$ w) Z- G, B; O. g v0 k" J" \" k[
$ j8 L; w+ e) }, D9 O
$ ?- a) m' e5 o* b1 g. _% O4 u v/ Mrt random 360
1 U0 K& L' j' G! e% P" G/ f7 K% {: g' n" y/ a m
fd 12 W% X+ T/ t' ?6 [3 A% n/ v& l& F& X' r8 j
! J& q! G+ b/ `* ?* v]
6 K/ @3 W- m' G" W/ Z* r4 {/ P4 E8 f2 c' c
end
, t6 W" f% ]! `) w) m, X% a5 J9 N4 u, t3 o% l- @
to do-trust 5 C; L" g1 q5 c) k, f" C' J" c
set trust-ok False
. S8 k1 N9 }8 ?. x% d( s: q: f+ k8 k
6 G- [5 M& _2 k Q) X$ T
/ t n7 ]8 I0 N3 _& Zlet max-trade-times 0
1 v/ e1 h8 [2 g. y+ r* h" zforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]/ i5 ~$ Q' x! l; `: |9 {
let max-trade-money 0& n% @7 X7 }# A2 K) K
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
+ |( I* m! b, m' o% E: k nlet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
' N; R3 R8 W+ h# e- W0 I5 u0 X- I8 N H2 ~6 X2 Q
' z w. g3 S, T7 X8 V8 h
get-global-proportion6 ]5 N( c# [; l0 _, i
let trust-value
; t$ ^( @0 s6 g: p5 [' h* mlocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
% P& _/ @2 [4 V+ \& o6 m/ Pif(trust-value > trade-trust-value)
5 i& u, N* q. ~8 V[set trust-ok true]
: m! r; P; C: n! fend
* }, f4 d. b8 o
2 s+ Q( b5 Y3 c+ J: M' \to get-global-proportion: }0 Y# Q1 W+ E' h/ |" M5 V; A5 k
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)/ ~0 F. \9 |5 ^% r# r
[set global-proportion 0]
5 p- s) n; x1 J" R+ B: |: Q[let i 0
6 {2 h1 o" I5 w6 b G1 N1 h8 w& Qlet sum-money 0
! y5 R, Y( W6 S6 @7 g0 Xwhile[ i < people]& V6 H! b( k$ Q) t
[0 Y! t& ^% Z. w9 R2 |+ l
if( length (item i
' a6 s) Y4 q' P5 y! ?* t' d[trade-record-all] of customer) > 3 )3 U) \5 }# M* ^# ~; \
[/ N- B9 E1 v, a2 g3 k! n
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))% |& e" E1 W; y$ f% b) S
]/ M( _+ O: x, e* C
]- e# E. t9 i2 K: D4 a) T% `
let j 0
+ x: v2 I" l9 B* F8 m# D; j7 slet note 0
! i5 W% F9 G- w& d' A4 R! m7 G. V& i, ]! bwhile[ j < people]5 n, z0 D" O/ N# e- I$ q
[+ ?) Q( t( K t# h1 f9 |
if( length (item i
+ E7 Q: _$ x$ K[trade-record-all] of customer) > 3 )% }* v% w3 f; A7 D3 W
[
2 m9 t6 @8 H4 V Hifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
/ ]6 \0 ?% n. H0 R/ U8 @7 Y: d[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
3 _( i* e2 `2 ~5 v1 v- J[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
3 D( n; H T' X! s]
& M5 V0 S9 }) i0 f3 o# ?5 e0 x]
8 V: d5 V$ W) {# Rset global-proportion note! Y' W. r: y! v& w ?% |( J5 e
]2 ^, Q/ I& u: v
end+ w; @; U- o* {, L/ F3 R! U, F) ?& h3 q
; E, b1 w$ Z6 T. n* a2 Bto do-trade
/ ]+ t4 f! e: T+ B4 `. C1 e( n;;这个过程实际上是给双方作出评价的过程7 t: o% x' Z3 M2 o
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
/ d/ C' j, w" q% r. r5 s) h+ q( @set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价! a/ c2 L& Q- k( b" f
set trade-record-current lput(timer) trade-record-current) N* T6 c" q- Q% \! d x; b& V5 T- o
;;评价时间
( Z F9 k) j8 H' g$ n& x7 u- Task myself [
2 |0 R2 V' ~1 j5 Bupdate-local-reputation9 t# \2 N! L* A/ y/ ]5 X
set trade-record-current lput([local-reputation] of myself) trade-record-current* i7 w1 B' p; d2 d% K
]7 t d% ~3 V* i. Y
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
" o: [# i' Y9 @;;将此次交易的记录加入到trade-record-one中# W4 I; u: N3 J- D8 k$ X# q6 a) F
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
* Z4 l B2 n* T" z ylet note (item 2 trade-record-current )1 G5 K* a+ u" J; f, v0 E; r2 h" z3 ~
set trade-record-current
" O8 d r( m# N(replace-item 2 trade-record-current (item 3 trade-record-current))' x& q1 U6 F9 n3 \9 A
set trade-record-current
1 ~9 A$ Q3 E8 l6 t1 r7 x, f; A(replace-item 3 trade-record-current note)
" j" p( I. v, D: X u$ F' [4 Y- {7 V3 ^9 D- l
1 H6 u$ t# S1 O" K' I3 fask customer [
7 X4 }) m) r& m2 k1 Qupdate-local-reputation
* t0 Y. I! r: oset trade-record-current
& p( q. @1 w1 R+ t0 G# ?(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) / P$ u6 R( h/ w5 E
]
6 a; C8 `0 y. T% v' j7 y( I7 C5 Q# e8 X% l B
# b7 K4 U* t2 s( `
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
4 h! Y _3 K: P5 j6 y& U3 F! r
! {3 K, h9 D& ]+ h% [5 r1 s; Y" Xset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
9 o; z/ q! L( ?( n( W9 G/ m;;将此次交易的记录加入到customer的trade-record-all中
$ f/ ?1 H s1 i, {end1 e2 m/ T& {& l5 q
0 W. m7 { e2 L; D) h. [$ A- z
to update-local-reputation, I' X$ Q7 d5 q/ W6 c% V
set [trade-record-one-len] of myself length [trade-record-one] of myself, I7 P) j6 O7 N5 j& I5 D
$ k6 G0 C3 W6 L* Q& `/ Z
' o( C6 @( _4 Z# W7 Y( k" [1 ]
;;if [trade-record-one-len] of myself > 3
( C: P! e" R" W8 O& R6 X2 tupdate-neighbor-total
9 i& [0 _/ I" d9 s; P* M;;更新邻居节点的数目,在此进行
4 @, u5 M$ A0 slet i 3
. D: ]/ T D; U+ n/ }8 k7 ylet sum-time 01 O- T/ M# o- ]4 p/ C9 r
while[i < [trade-record-one-len] of myself]) R! E$ `- l$ |8 h& `2 N
[9 [) `2 s5 C3 ~# H7 ?" B
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
4 i1 U( Q7 \) o" Cset i
- ]( \& Q9 H# s$ u( i + 1)1 ~4 P" W- n6 B
]9 \; _% s9 e: R' f! G
let j 34 a" ?! i/ u% E0 ^- d# o! l( }! i
let sum-money 0
8 M: E$ e1 d1 X9 M% ywhile[j < [trade-record-one-len] of myself]
6 V' M8 h3 S: l. k/ \' Z" G[
4 c2 `, Y& Q b' wset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
& T3 {8 l' N! k# y& G- n' Iset j
7 N! H. I% P0 w) d# R: S( j + 1)- V: `) Q7 d6 O$ B- t- b
]
! v. I6 t+ e8 m( Jlet k 35 \; ?, m- [: w
let power 0
6 V* O4 O1 j0 F& @/ Xlet local 0
3 Q. S/ l3 m# I/ H$ T" kwhile [k <[trade-record-one-len] of myself]$ g& ^ e( j0 C* `# Q) l
[% g o$ k4 S9 [$ r1 c3 O' z# r
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) & ?0 t9 R* I3 H- Q
set k (k + 1)' ~# U3 e4 [9 r n9 Z) x
]
+ V! G1 O1 T( w, W: Iset [local-reputation] of myself (local)
' B- D4 V. O) P8 [end, j; z3 F7 j+ j8 \+ K. m
$ B' `! F* x, y& k* J4 P; L' g2 c
to update-neighbor-total9 m( w: x" o1 c! `8 u
) M( P* u# u9 ]" {& @# x
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]: U. P( x" u' F& L/ O; x
1 t. y% A7 D+ e1 R6 e
( O+ ^2 e& H+ ]) Dend
0 E$ H" \& r. h' {& Y
. f4 q8 q5 T; U* d1 G1 rto update-credibility-ijl " n2 K9 l0 S9 ]* {# T, g
! I, v; l4 t0 g5 u! H
;;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。' [2 s2 ?6 q$ D8 e8 G6 |3 `
let l 0
8 i/ }) M L" @$ @8 ywhile[ l < people ]
1 O. u D+ N v3 P& p;;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% P& M) T$ U5 t% V+ P
[
% N& d& g! Q. T" Z4 x7 Blet trade-record-one-j-l-len length item l ([trade-record-all] of customer)
3 F* N7 h8 j5 D- z9 F2 n) |if (trade-record-one-j-l-len > 3)( Z1 X; a5 H& O: [$ z
[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* A2 d' D% ~. a: B; Z0 W
let i 3
k/ D+ n* T! u/ t( P. z1 ~let sum-time 0 k$ G8 B. O, L0 b
while[i < trade-record-one-len]
; Z* }0 ~) g5 |& k/ D/ o[
( ]0 \' _, m6 x5 C8 _4 k! oset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )& p4 G: [7 j: x+ W( U2 `
set i
8 Q8 l# x4 Z0 V/ T4 `9 C( i + 1)7 G, R& R1 z4 D4 V T
]. e. Z! F6 @# }: ~" W7 W3 t
let credibility-i-j-l 0, J2 y/ h* {& L& s" K$ ~5 Y y5 C
;;i评价(j对jl的评价)6 U/ F8 C. E6 c8 F
let j 3
8 R, H! U9 [7 M. U3 y# [* T; }. P2 _let k 4
5 g' v9 Z! p5 p) h! ywhile[j < trade-record-one-len]
5 l0 I; Q, i1 o! _ |[
8 m- e | R B' h" 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$ x \: u6 a5 r) W- ]& g
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), k4 k6 N* x+ X3 _3 f
set j" @. \7 q0 i K# h
( j + 1)
+ m6 { h9 n2 N5 L# V5 p]+ b/ e3 h' o& \6 B7 Z
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 )), V1 S! i5 Y1 n5 ~5 H
2 [, [! `+ n& A' s3 J( s; o4 t1 F. K! K8 I
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))5 Z% G, Q% b8 p7 z; L
;;及时更新i对l的评价质量的评价
6 Z) k1 D/ ?3 yset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]9 p9 @3 J2 J3 ~2 Q
set l (l + 1)0 d; C) s% y) w; _8 V5 T: C( G1 s
]+ x. E0 \% V9 {. j$ W, i
end8 h2 [& |3 e4 w6 ^" V' ]
/ g3 m$ e) O! I: q$ d' }6 ^) Pto update-credibility-list* }) h" G4 d" h1 r$ W% h7 L8 d
let i 0
$ Z f, d. s2 C: Qwhile[i < people]
) n ]3 l0 v% r% \: R: Q[6 M; ~# ^, K' O
let j 03 m) a" N9 U" K7 ]- U h+ |" B
let note 0
' }( d: _) j* a2 Alet k 0
* O6 L: N1 |/ e, E% C1 v" P, O;;计作出过评价的邻居节点的数目, v; u% D# _# R2 f% z6 T, ]# L3 S+ x
while[j < people]6 J/ z1 i, Y7 o/ F" u9 `" n6 `
[
* s( k: R, E. B/ ]: w) wif (item j( [credibility] of turtle (i + 1)) != -1)
* B- \* T9 U+ M* F' q;;判断是否给本turtle的评价质量做出过评价的节点4 J f% ?9 ?2 P" n2 |- l$ c
[set note (note + item j ([credibility]of turtle (i + 1))) D/ @/ x+ D0 F7 `' t7 E
;;*(exp (-(people - 2)))/(people - 2))]
- P6 i( V- D7 ?$ |: B# @" jset k (k + 1)4 p7 W1 Q f3 e( e' G* ]
]4 ^) \, d! k/ a2 z: c
set j (j + 1)
2 V3 R+ D; R. n! T) p( F( U9 i3 H]
: R, T: [; p: n: Kset note (note *(exp (- (1 / k)))/ k)" p, O/ C9 T: p
set credibility-list (replace-item i credibility-list note)% l. C9 ~- v: A8 Z) s( A/ i
set i (i + 1)
; x# x9 M. r$ K6 b5 D- ?" R]
( G1 F N) r1 q; N" J( C$ c Wend
$ I; |7 C9 Y$ r$ K7 Q/ F7 {# X( l ~ {
to update-global-reputation-list! v& y+ H5 u* q+ I i9 P
let j 0' D1 X- |- x! D& n) F
while[j < people]
6 R+ ~6 @2 \9 Z8 S9 U[0 z' _- U5 j% H' f8 C* _" j% x5 l
let new 01 V `/ ~2 q- y3 ^- g
;;暂存新的一个全局声誉9 }. }: Z8 K; | S: ?4 \& d& }
let i 0
8 f L% j0 Z ~4 Glet sum-money 0
2 U/ F$ B& J% Clet credibility-money 0' m5 {5 z/ U, @0 X4 W6 F# V, ?
while [i < people]7 }9 H! R0 {0 I
[
( _5 d1 _7 G4 |" ]4 M7 v; Dset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
& Y3 @* F" s+ n( ~& h: W# jset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))" ^: S- |" T/ o0 F# b6 l
set i (i + 1)
6 [" n, P5 [' A, v]+ W2 b! J7 J8 V
let k 0
+ b0 {5 K/ l4 F4 ]2 mlet new1 06 T& r% y6 `8 F0 i& Z
while [k < people]
& r/ @3 @% f' c* p[
7 y' d! q. e. p+ B5 x( |: l, I/ 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)% L3 Z s+ U9 L/ p
set k (k + 1)1 w7 K- N' C3 N
] K: ]/ L& Q- C& P
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
& t8 `$ K: B$ y5 E: @set global-reputation-list (replace-item j global-reputation-list new)
9 ?0 S) D& P7 Lset j (j + 1)
/ k, ~3 \9 n% L* j# i]
& f$ t. ?2 O& _: J: Rend
0 U/ Y/ h% X# @, _$ o1 w/ x- x3 N. Z7 @+ E: P8 l7 i9 X
4 a5 K: N1 @9 I& E5 B* D' o
( n, J! h% }+ K w; h W6 b+ h1 Kto get-color! @) e, ^+ I9 ~( t. O) _+ u
1 h# M9 F& A: g E% S \6 c
set color blue$ S; k4 ]& G6 Q
end% |1 `& m+ D7 G% f
$ w5 M2 P5 P. _( f8 A
to poll-class: @( Y% Y9 F, a% I) z* w' E
end
" _4 [! c/ D+ `. i2 _3 i
/ T* X& G' a7 a2 z8 h3 O$ Bto setup-plot1
" S1 f( [* X: e! ~6 M/ k3 f
- y4 d& [8 ^ O' Zset-current-plot "Trends-of-Local-reputation"
0 {8 d, ^7 M1 K ?! a8 Y
9 C3 `/ l, I+ kset-plot-x-range 0 xmax
* z; X6 t# ~1 U! X# b5 y; v3 N! F+ L+ Z" K
set-plot-y-range 0.0 ymax4 L% D4 I; S3 i* a
end. Y9 E) t6 Q( a1 d
- b/ o/ _2 r& b3 Ato setup-plot2; f/ J0 ~- l9 {8 g( R
4 q$ b Z: N+ l: h8 S, r3 y
set-current-plot "Trends-of-global-reputation"8 L! t3 V# ?- z/ Q! o: n$ u( r
T8 s9 B5 Z* [
set-plot-x-range 0 xmax. p$ u2 a+ i3 {1 z2 _
4 G/ ~: B( I7 Z4 J& J5 H1 F( y
set-plot-y-range 0.0 ymax
2 v) T& n9 c: x `, x- uend. Y! h. ^& E+ s8 q& P, ~5 W
n7 e/ c* F7 [+ Z/ k% Dto setup-plot33 ]; u( i g% V
- |6 }: k, |7 j& I4 cset-current-plot "Trends-of-credibility"* g0 E( e- w1 G; L% o& o
; l7 V1 I6 e2 |+ s1 i" h
set-plot-x-range 0 xmax
+ H2 \0 v& ^) I9 c4 j6 d' C' [: ~9 H; g& q* k
set-plot-y-range 0.0 ymax
O; {! o4 c/ d+ |end
% u' L7 F$ `. G( F$ P' [$ v* o4 [/ G6 y9 _5 D" v2 y. E
to do-plots( V5 B9 ~; [) T9 `( z" I; ]
set-current-plot "Trends-of-Local-reputation"
6 Z8 X: a, Y0 Fset-current-plot-pen "Honest service"$ V9 k" ?8 I( P, L5 i4 E
end
; w6 M" h# h# k0 Q$ T# \9 C; ~ s8 S- ]6 I4 i! k% [3 ?! |( M7 a$ l& x$ v
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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