设为首页收藏本站

最大的系统仿真与系统优化公益交流社区

 找回密码
 注册

QQ登录

只需一步,快速开始

查看: 9392|回复: 10

[交流] 关于turtle的使用问题

  [复制链接]
发表于 2008-3-14 16:14:39 | 显示全部楼层 |阅读模式
我将customer设为 turtles-own,初始值赋为-1,为的是当turtle遇到同伴时就将其中的一个turtle认为自己的customer,然后进行交易,如下:; ~& s: V6 O2 p2 A- T% y- h
to do-business   r$ I; r6 _0 B  E7 q1 N+ U
rt random 360
. a& _7 L* }( _9 x, @% Q fd 13 _5 j6 l4 _/ q
ifelse(other turtles-here != nobody)[8 G) r, Z- s- B% N, B
   set customer one-of other turtles-here ;;这样一来,customer不代表了一个turtle吗?但在运行时出现了问题.* `6 q/ B3 c" O3 l
   set [trade-record-one] of self item (([who] of customer) - 1)  [trade-record-all]of self   
( G$ K$ u: _- X2 M! I+ u7 w8 e( i! A. A   set [trade-record-one] of customer item (([who] of self) - 1)  [trade-record-all]of customer3 E  t* Y, G' u1 I- H
   set [trade-record-one-len] of self length [trade-record-one] of self
) f  I% \7 z! Z7 l$ q8 N5 j; }: B2 |   set trade-record-current( list (timer) (random money-upper-limit))' p8 L2 p+ e0 Q  N( l
$ @/ a/ z% F6 q4 L# R
问题的提示如下:
5 c8 L  {9 O6 _& e$ F$ k# O% F; i& k6 b
error while turtle 50 running OF in procedure DO-BUSINESS0 Z' X3 Y. V! b0 ]  R. i7 l  v
  called by procedure GO6 }) U  A9 e: }; b2 x& E
OF expected input to be a turtle agentset or turtle but got NOBODY instead.# N" ]3 w6 I" N6 @
(halted running of go)
& Z5 P9 _6 a9 P0 E
* V% c0 O& E5 h) N& B, A; C这是为什么呢?我看到一些netlogo中自带的例子也是用这种方法来找turtle的同伴的啊?期待高手解答~~
) D( d- a: n# Z; X# G6 E$ L另外,我用([who] of customer)来获取turtle的编号的方法对的吗?如  set [trade-record-one] of self item (([who] of customer) - 1)  [trade-record-all]of self    中.

本帖子中包含更多资源

您需要 登录 才可以下载或查看,没有帐号?注册

x

评分

参与人数 1仿真币 +30 +2 收起 理由
booblu + 30 + 2

查看全部评分

发表于 2008-3-17 17:34:20 | 显示全部楼层

资料不全

你把你的所有程序传上来我看一下,估计不是大问题。(南京大学)
 楼主| 发表于 2008-3-18 13:10:54 | 显示全部楼层
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
" O( b7 ~( _" X. w! {; P6 Dglobals[1 v2 `8 q; _* V: H$ G, q+ S, i1 \
xmax
' V6 L- o, T1 ^3 w* i1 s, }ymax- E3 ^% p# ^% s8 t/ _' b4 d, T
global-reputation-list
. f% m. |% c, K0 [; H2 i  d: V  w  `
;;
每一个turtle的全局声誉都存在此LIST  K3 l- D1 W, j  F# F7 C$ b; B1 D
credibility-list+ {  Z4 n  p8 s( |4 e! M% o  h
;;
每一个turtle的评价可信度
) h8 J( s; |; N1 v* [- _( nhonest-service8 S! N: B: B5 y2 h
unhonest-service
  @2 Q2 a: f! `! k3 I* |: Xoscillation) Y+ A4 j: c( t, u
rand-dynamic
$ N6 V% c; D7 K! D5 j0 |4 j! Z]
; c& k3 y$ e; w) L# z- h. p3 Y. Z# [' K: Y' X0 `
turtles-own[6 F" P# f7 w+ f- V+ M$ |. N5 ~& n
trade-record-all! ^9 X2 x) O$ @
;;a list of lists,
trade-record-one组成
  r2 |" n5 O: J0 q) g6 |% ctrade-record-one" H+ ?; n7 O; k
;;list,trade-record-all
中的一个list,作为暂存用,记录两个turtles的交易记录9 F) N# S4 m  W, S# Z

9 c2 ~$ r" v4 S, X' 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, w& M# f- z5 B, n1 Z1 R
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]
4 z5 v, n  a, p: y5 \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- ^4 C" X( H4 G3 R) E/ P: Y, hneighbor-total
  `+ e2 N0 c: v, P# d1 Y/ o/ x;;
记录该turtle的邻居节点的数目
. ]# q8 f- d  J  B) [trade-time+ T: q) X$ J( T8 V
;;
当前发生交易的turtle的交易时间$ R: x1 W9 h* F7 p# }
appraise-give6 ?) d$ M3 Y( s% t
;;
当前发生交易时给出的评价1 L7 ~& D; W) J2 u
appraise-receive$ ^: P! |: T5 ^' [# b' k* m- P
;;
当前发生交易时收到的评价/ v/ j  B, F4 I. w
appraise-time+ C+ N$ j" T* @% I9 ?7 z
;;
当前发生交易时的评价时间
' a4 B# j/ P* klocal-reputation-now;;此次交易后相对于对方turtle的局部声誉+ b# I: P* P- ~! x
trade-times-total2 B+ {3 v8 Z) x7 H7 y1 A' @9 c
;;
与当前turtle的交易总次数4 v( e. C, T0 F5 v
trade-money-total  J; n2 L3 s0 E* @2 R. X6 C
;;
与当前turtle的交易总金额
0 q3 u8 `- c# |5 zlocal-reputation% V( F* R3 z- m/ K$ M( z1 M! y
global-reputation  J2 B- _, Y* T- ?/ Z% [
credibility
$ ^8 C" k7 A$ e; [6 m6 @8 d( ~3 q;;
评价可信度,每次交易后都需要更新
/ Q, R+ Y, d" f7 Acredibility-all. f2 o0 v+ y/ f) w
;;a list of lists,
credibility-one组成。[[1j的评价质量的评价][2j的评价质量的评价]……[ij的评价质量的评价]……],其中一共有people项,根据1 t1 z' b" H! y( u: ~2 \3 g4 I1 p6 A' J

: d" _4 X  W  Z7 F;;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: K/ ^- f4 `! ^, O9 J/ o3 n
credibility-one% K7 W  v+ {4 [  m# r5 x
;;a list [i
j1的评价的质量评价,ij2的评价的质量评价……],其中一共有people
% T/ E$ c0 F5 ?9 R( _& d+ xglobal-proportion
( E0 S0 W9 w  D/ M" A% S3 e% G4 Rcustomer/ \4 H$ L: }6 q7 \2 K8 v; @
customer-no
  i  ?0 l0 {0 M; v+ q  Rtrust-ok
1 T& b& }( g, ?trade-record-one-len;;trade-record-one的长度
4 S: Y; K, Y5 D& Y( }9 v4 o0 k) }]& u# E+ }& {+ H

4 _, ]7 U/ a. I3 N;;setup procedure
: r  B5 y# p. g/ R% B# }, @; b& W" n
to setup& |+ ?1 ^3 ]' b4 p

2 c8 t3 k  [4 C9 R0 T& G9 _ca

3 |& E# b. i: K0 ?0 D) R) ?
  p) ~7 b+ x/ F* {) u" a0 t: Qinitialize-settings

" N3 {6 V) ~+ Q: s0 w# Q& C2 O& C' n. t4 g6 m4 x( k/ G+ T/ b
crt people [setup-turtles]
% a* `0 y: V) O0 c6 _. d! l; m

5 c+ |% g3 {; I, a! t1 Mreset-timer
- [4 L2 f  k' h) Z; J6 E+ D+ z$ f9 U
& y0 I7 [8 @8 N& l
poll-class
; d: g2 s& ^( c8 H# F; ~( `+ N2 ~
, E  u/ p) I( j/ _% S6 ~
setup-plots
9 ?: p1 x9 P! E1 Q3 O' z% _8 \. u

& m9 @' M" c; l4 ]5 F0 C$ Gdo-plots

) d6 m% B1 Y* e/ a" x$ d6 `end* Y  E8 n$ D: b% W$ g3 i0 o

5 Y, ]2 V, H( F. W4 uto initialize-settings
3 |* Z! P/ Y; R0 T6 Q! U: W4 ~$ ^0 U1 v4 I) ?3 ?( m* S
set global-reputation-list []
% P. M4 }- {) c* G% N& ?5 m4 S
  }' |) \8 c/ Z9 j
set credibility-list n-values people [0.5]

0 f' j( L: ]6 P$ B( L/ m0 k6 Q; c: R- p( t& p- ~
set honest-service 0

, F2 Q; F' E* w5 }; v& w/ d/ m$ U7 J& q3 w9 ^4 X. z' v* d7 ]
set unhonest-service 0
2 T/ \, o  [" ^% S9 F2 q6 {

. y: Q% W' t7 {+ N5 Lset oscillation 0
9 {% s& Q7 K; t9 }+ W
  R1 G6 G6 o" z8 p  {
set rand-dynamic 0
) _# u8 e2 a" |2 G2 [
end
$ m+ D. {& S1 a. `7 F  K5 x, {, |5 h3 w
to setup-turtles
4 J- e) a$ i! I' y* B* ?set shape "person": [% h8 a* `0 q9 i
setxy random-xcor random-ycor
; v& w: \: T( {! i, xset trade-record-one []
! a6 C0 \) ^( [$ r# n

4 e. O) D( k' s+ A/ }set trade-record-all n-values people [(list (? + 1) 0 0)] : v' ?2 S7 G2 J1 ?9 U& T

$ c6 t# N4 u6 D* E! Uset trade-record-current []
$ l$ A) k+ M# u- [- t7 c6 zset credibility-receive []
5 s5 [- L9 G; v+ @8 [5 d8 m( b: {set local-reputation 0.51 Q' a7 @# e4 \: g
set neighbor-total 0
+ D* Z9 o7 G; l' c: ^/ Q- v+ m" l! ^set trade-times-total 0
0 @7 w+ R5 B* }3 K( Eset trade-money-total 0: C. l# O7 A( i4 Y5 [  e: e* b. S/ g
set customer nobody% z& N" ]# r- u- Q; u
set credibility-all n-values people [creat-credibility]
& g; G+ L# L( X0 n7 z. r: _set credibility n-values people [-1]6 i) C8 c' }7 X! K  \3 h
get-color
8 H+ r4 G1 c: @6 F  x" N( @, @; N
7 R4 k- u9 n5 w8 q
end2 G/ k+ ^4 R9 `  k/ F1 Q6 R7 q( T; l

: C2 R( }5 B; x8 m! C; G3 [9 Rto-report creat-credibility
  u: E. O0 ^" Treport n-values people [0.5]
7 r  u. O* A+ Hend" N  B+ q, |3 k! u
: X9 {2 e2 s+ P' d7 q: ]" M/ I0 A
to setup-plots
, b+ l0 ^) u+ p$ z2 D. R
* v9 m; A& k8 yset xmax 30
% w9 ]; G! ^& ]) P+ @

- a$ T# v  w: g% w1 x  I# |' R7 Y1 Dset ymax 1.0

* B! L& H  N" K3 g: l, Z/ z/ r
; `5 F0 u, r" H9 d0 Sclear-all-plots
: d# r4 w) J& A1 p1 q! n3 A

0 \% r) W  L! W) T- c: Jsetup-plot1

- a! ~, O$ q1 Z' h, l. D$ [( p; n0 s* Y8 q( f, \7 {
setup-plot2
+ |- l7 T/ X9 i$ R

$ \" y4 c4 C- w7 d# nsetup-plot3
; o3 B" G$ h5 s/ w9 J2 @' t
end
5 W) ]. T* l$ i6 @+ t
5 b; _; S# m9 _- \4 P9 H7 y1 J4 w1 L;;run time procedures% v* q6 E) D3 b1 h2 V

4 M& x+ o! M" k$ ~. Ato go
) ]. c( a, K+ B# K" ?
, B# j$ P$ g0 Kask turtles [do-business]
: \8 n8 N: `" Z- [5 a! K4 e7 b- B( i
end
$ ^- V+ E' D/ B# U/ g4 Q2 B" W& ?5 r9 h' E; u
to do-business 3 Y9 i8 d9 I; m% a  ^  k; ~

- V/ B# r& ^/ U/ P0 L- e: P' _' C. u7 t: h) U7 ?
rt random 360

$ l9 p* P5 ~9 |( s( E
/ P; k+ o9 a4 Mfd 1

* h/ h9 @% m8 F! h8 c% J4 u, ~) f, v. T  t2 C
ifelse(other turtles-here != nobody)[

/ K) y& `; V. K5 f6 W4 a4 H
) u5 d" S: c7 Lset customer one-of other turtles-here

& s2 l) S2 B; Y; c5 @9 z2 `  K, o4 c' G) w( r. G( O* F3 u: _
;; set [customer] of customer myself
: Z) [- m! ~- H' T) s5 j" @

, j" M4 R8 P5 h  O6 S2 Vset [trade-record-one] of self item (([who] of customer) - 1)  k9 f+ {, l+ K) t/ Y- l8 X
[trade-record-all]of self$ c* i" R  E# k+ t4 R' w3 ?9 p5 \
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self

2 A; I7 y% M9 W* F/ U( h8 N' `/ p
  y# J2 R, L8 g: dset [trade-record-one] of customer item (([who] of self) - 1)" y) l# w9 b# _" X3 [8 l
[trade-record-all]of customer
2 M0 m% C. B# c
' n0 `  x7 T  o: p
set [trade-record-one-len] of self length [trade-record-one] of self
* I$ {# q/ C$ o5 m& X* k" B

- G& R9 S$ X& }. Gset trade-record-current( list (timer) (random money-upper-limit))

" X" y, G8 |/ z" n
5 ~4 v! L( N7 \# J7 p! l% Lask self [do-trust]
. ~0 N2 j) x& v* f. ^;;
先求ij的信任度" l2 Q5 q+ {8 L& ?, [, ~

8 L) A1 t2 t1 |" q* Uif ([trust-ok] of self)
' t4 E8 E1 @; @) p;;
根据ij的信任度来决定是否与j进行交易[
' u' b& o; ~/ H: {  v$ V% f) [( Zask customer [do-trust] if ([trust-ok] of customer);;
这里可能会用到myself4 z0 Q9 q$ K8 n" P& X1 m, X
( C$ e( }; J% b2 ~) r8 W+ s
[

, F  i2 X# X9 e3 T
; K9 i- M' N8 |8 E* ]: p. }do-trade
5 r) K# Q* \  t
- Q/ P1 O+ O8 L& ]1 |/ D* q9 S
update-credibility-ijl

& z! h5 E  s$ U; r  o+ W2 J7 ^) f# \' C0 q) L. S
update-credibility-list
' l% A: k3 U  s: u- p8 W% M& ^
6 a' Z/ H$ V6 b
6 V& U& O% J5 c0 I
update-global-reputation-list
6 d0 l: C1 S- m! Y( }
# f% z" x! _6 Z0 O& O+ _
poll-class

, c& g: j9 \& Z# x6 f: z0 V. B  m
! h6 o* @7 K) i4 B6 zget-color

- Y4 ^$ R2 Y! q2 g/ T
5 O/ ]4 \1 z2 ^6 z! s( J]]
0 b1 L' E0 |/ G: ^% c: }9 k( N1 ]# r6 v5 d/ W4 J
;;
如果所得的信任度满足条件,则进行交易
% J4 W3 B6 R# o8 O! {$ b5 }5 K1 ]; h" [+ M
[

9 {% n9 {5 m( e2 y. X( r8 y$ `, H3 u4 h: b% ?5 @# ^+ o7 [$ d
rt random 360
+ \: {4 h# F- A0 ^3 `) F4 a
; ~$ t7 C" Q# l# T  E# B, h
fd 1
1 _4 W& E$ m2 Y. R3 R: Y+ j

( V. R% J. }% o/ }) N4 h]
# C: n* v7 T1 ^/ Z1 S; A/ }
" p7 `2 L8 v; A( y; _. B  Q/ G
end

) y  F2 f/ ^* [6 x5 Z' a( \: Y0 @: I2 h8 D4 u4 w
to do-trust 4 }3 b  m! ~: g8 f( H! \2 p+ ~- h
set trust-ok False9 |  G$ q- l4 l9 c

6 d! {2 c9 v8 _  S

. i  r. F2 B  Y1 _6 f* Rlet max-trade-times 0
* @4 K( k7 w) q0 S2 h9 Qforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]5 G7 ?# l# F) u6 T0 V
let max-trade-money 0& _; G' c0 W6 u- N: @0 G
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
( g7 G! t* S- j7 @( e7 z1 Flet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))( q# U6 t  S; Q4 \3 M# q8 S
: I5 r4 L3 Z; W. T  d
& N& e  \# @, g5 z% d) k) _; j
get-global-proportion3 G" M5 g9 Y; ~
let trust-value- M" e  a' V5 O6 {) E
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)

( w! w; {& F7 l- m  F; Mif(trust-value > trade-trust-value)# ]4 R+ c; \, O' K  Y$ q
[set trust-ok true]1 y2 K' |7 d! D1 Y2 _9 j# N  |% v9 E$ x
end4 V& q# E! k; v8 {" n1 X0 m

# P. d2 ?1 y& H2 [1 u4 b5 {to get-global-proportion  E. ~* @4 f4 a+ [
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
' f) k/ }$ h( e. O! h4 o% W[set global-proportion 0]" Q; v, A, b1 T6 F. u
[let i 06 b( N3 o4 c' x& u- j- E
let sum-money 0& j) p/ a# T# f' q, l
while[ i < people]
- Y  `# h0 k- D8 J5 D[5 s* a3 ]' Y% S+ b  z( H8 f; D
if( length (item i
1 z6 u8 ?1 R6 ]" B; I6 u[trade-record-all] of customer) > 3 )
' L( ~* A" |0 t+ M" s# I' t
[
* b- L" d* t( Y# F# mset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
3 u1 H% R2 R- m+ ^. U2 z]- x" j& O. Z( E8 F4 `
]& J5 |# K9 q" p( V, _
let j 08 ]- \2 C; f& ?* i% q( L
let note 03 `( e3 ]3 e4 ~% y8 W. S
while[ j < people]+ F) q- d, T7 n& E$ ~  @
[6 X/ J, l  T6 l/ G
if( length (item i' ^; F( ~0 T. k" E
[trade-record-all] of customer) > 3 )

% H+ c( Y4 D  n2 f[! p+ T/ U& j) v$ A
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
, l5 @2 N! q4 N[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
5 e# O, `0 X/ }. I3 v[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]6 [1 b1 Z, J9 l" r2 J
]& x% J5 A% Y5 g+ \- q
]
- h2 f2 f/ {: A7 kset global-proportion note6 _5 P4 d. s- D7 F8 Z! w7 Z
]
) i% B, a! p4 \/ i3 f7 q2 j2 M) ?end
7 x5 b6 L& p. u0 \1 b& X- v, V% d' z7 x  O6 s% h: I* R9 v: t$ f( p
to do-trade
6 @! k; [, V  s: S" w;;
这个过程实际上是给双方作出评价的过程+ w3 l5 o/ _  J# J# d* F
set trade-record-current lput( random-float 1) trade-record-current ;;turtle 得到的评价; r" C# v+ [4 W2 w2 C
set trade-record-current lput( random-float 1) trade-record-current ;;turtle 给出的评价
, M2 c6 j; r; V# Q8 _$ B6 \) oset trade-record-current lput(timer) trade-record-current
; F8 w; S' \5 U1 Z2 Y0 _;;
评价时间4 [6 c4 P9 d" b5 A6 v
ask myself [2 u, j3 ^4 H* ?4 w
update-local-reputation
4 Y, R0 E2 U- @' I+ Y' hset trade-record-current lput([local-reputation] of myself) trade-record-current
1 A  v/ c! u% d1 I& V! L9 G]9 D7 C3 Q" r8 Z. o: T
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
, K3 V' X& I+ x: F( l1 n;;
将此次交易的记录加入到trade-record-one
0 K  f% s  N. Cset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
# i& C. c8 y( x4 f3 rlet note (item 2 trade-record-current )
& ~  w7 L8 l1 R7 N8 ]% D+ Kset trade-record-current7 J$ W$ m" l& H  D# f* I
(replace-item 2 trade-record-current (item 3 trade-record-current))

, q: z& P. J" v. @. l/ `set trade-record-current
' ~# o/ E8 A+ ^. X1 I3 a(replace-item 3 trade-record-current note)7 C  N7 E& j, V: N
% J' _" j5 X$ K. u3 _

7 F% i/ l3 p$ u4 F- r2 H( Kask customer [% u5 h: X9 l* r5 [1 d6 l
update-local-reputation
' J6 d2 x% I0 Iset trade-record-current6 Y) z; N/ L1 ?7 T  x4 {2 X
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
% ~) J' }! C+ _. {" k: @8 S: s& V
]6 p6 a; _) b% x% @8 s
7 d; E" B# m/ k- b0 h) T2 J7 ~* y, M
2 {( W5 W7 K& F# E9 c* t* H
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer' t5 Z" |& k/ ]* z# y4 U: I7 N

2 x2 t# u) c) s  I# C: nset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
( F; v" K! b1 h6 K5 W' I;;
将此次交易的记录加入到customertrade-record-all
: o6 z0 O4 f2 J! hend
- t9 ?! l- Q: w/ V8 J. m: W' J) s
7 T/ K3 W! t2 L5 {0 u9 Oto update-local-reputation5 B/ e8 I+ L# l/ z
set [trade-record-one-len] of myself length [trade-record-one] of myself
% @. h  p* t3 A2 U; E' x; r. Q& C- `; T
, \- h! m! j: \
;;if [trade-record-one-len] of myself > 3
% v# {6 g, M/ I1 q' D9 T
update-neighbor-total9 e8 Q9 e7 m" ]9 }7 O/ W9 Q7 M
;;
更新邻居节点的数目,在此进行
: O7 n( M( D2 J# f! f& h) [let i 3! Z7 l8 M2 X( P, f$ T& {6 R# t6 Y
let sum-time 0
1 `1 w9 h9 X& u: Y' mwhile[i < [trade-record-one-len] of myself]
7 q8 s) f4 O6 a3 s# D[# P  i# C- L7 `8 n" i% j
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )( G1 N  U& f8 x0 `
set i
* a3 o% t7 q7 |1 P6 K( i + 1)

7 a; D6 R: U( C6 m3 A6 k8 Z]2 ~9 Z, `. `$ ~
let j 38 N: {' V9 ]" N2 M
let sum-money 0. j  D* a) ^( N: O- C7 E
while[j < [trade-record-one-len] of myself]& q, a0 w/ j! k5 q# P: q
[
8 r9 Z+ _1 S0 d6 U9 e) b' h' w7 pset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)1 w6 r" h" J7 i# r2 q
set j& e( Y8 }- A1 H& n6 W, b
( j + 1)

* x) W; m& I' C+ Z]
5 |( g" o. N4 x9 X' b, m1 hlet k 31 O' E# Y- `' Z1 ^
let power 0+ b# w/ z0 g' U, q3 s
let local 0
7 C0 h# N* O* V) gwhile [k <[trade-record-one-len] of myself]
- c8 F2 g/ @6 z1 @[
  Y1 s* a4 _+ n& m7 M) H8 v/ M1 Kset 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) ; N4 _7 o$ b% C, V' M) T
set k (k + 1)' q9 F8 p# F* p5 P9 ?/ o
]' @+ ]9 [& p% }( x9 F  N8 j
set [local-reputation] of myself (local)1 Y6 }) r- o" V. j- `0 C
end
% B$ m- Q9 D0 a: ?/ |* T' v' Z9 t( a5 b1 m2 a" X- ?" m
to update-neighbor-total6 l3 I! B) ?# q) Z+ S( Y

3 s' j# S+ s4 uif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
& I" S$ o  g! a* N& }4 G! h% X& g- j6 @: h  c0 M( W
( V" b7 v; w4 J2 v! E. n- N
end0 U$ g$ y, g0 C7 t/ F+ m! n
) i* c* [# O8 H, E/ S
to update-credibility-ijl
0 L, Q7 X" T, \& Z9 W# z6 c
; F8 g1 v+ T* Y$ F, 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。
4 a, G2 ]) _1 V# t! e1 Nlet l 0
( S" V; N4 c9 C5 u& a# zwhile[ l < people ]
# m( X3 A+ D8 E* t4 o! |0 t;;
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6 \0 X% A4 m6 H5 x, W3 J+ O
[
9 @  B0 {1 _* V+ e+ Ylet trade-record-one-j-l-len length item l ([trade-record-all] of customer)
) a2 W1 O! _0 R( n; Z4 ~/ D# {if (trade-record-one-j-l-len > 3)
) }& Z/ u7 J8 Q" {$ P+ G5 h[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ltrade-record-one
0 u, u- @! f- O/ G- \  xlet i 37 m$ U! ~; |7 A+ B8 Q; h
let sum-time 0
9 z* Q5 v& |) D: Gwhile[i < trade-record-one-len]+ p% v0 s3 r# M1 |- [) t
[
2 @4 D/ m3 T, Qset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )* q% d/ T# d" W2 Y. i( a
set i% ]3 H! `# Z" Y; k" }/ x
( i + 1)

1 V/ N' s/ {. S2 {8 []0 f6 g% _3 E6 q5 o% K0 v% E
let credibility-i-j-l 0) V' g! q5 w! D" I! S" `# a
;;i
评价(jjl的评价)8 M- x% K- i/ d* c9 t( ~
let j 39 E2 i3 t0 T. W' _3 v' _* r) Z  z2 D: e
let k 44 l2 L  q  h6 ?/ M3 h
while[j < trade-record-one-len]
7 G6 B: ~' m3 E) T4 L[
  ?" I0 r* C: A5 p% r  Fwhile [((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ik次给l评价的这一时刻,l相对于j的局部声誉
5 \% q! Y7 i" |& dset 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)
7 Y0 k7 ^- G* hset j
) C' l! G. w1 E/ V3 Q1 N; z! A" c( j + 1)
5 Y9 v4 \+ k2 X& T5 Y# s: J
]
* O+ A; U4 T& p4 aset [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 ))
; K" {& o4 A; M% n- V0 |
4 v8 l6 `, I6 Z( p' X" q6 I

5 }6 b2 p8 w& g: flet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
& `0 U4 |4 ^/ G/ Y9 _) j;;
及时更新il的评价质量的评价
" A6 D. c' W2 w: X2 @6 Rset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]- y2 b  {/ e. n6 s# A# ~
set l (l + 1): k: s" D0 O9 _5 u9 }
]
* K! z! {9 D' {4 M% F! Q# u; o+ Uend
$ v8 j8 m' C5 n
# R* N3 J5 x& G$ o# k1 i$ J9 d6 j. Oto update-credibility-list9 l+ V0 N7 M, W! U4 i$ ?
let i 0- s6 h7 F; z  M+ f1 T2 k
while[i < people]
: }4 n: y$ |& ~[1 u. o  w0 b% A& L
let j 02 d4 ]$ c3 E# R* h. A! T! x% x
let note 0( ^  Y" i; G+ p8 o1 s4 @8 B4 x7 g4 R( K
let k 0
9 F! ~4 `' G  V6 x! v/ d9 J/ M;;
计作出过评价的邻居节点的数目) Z( d4 b$ B5 w. c
while[j < people]
3 U+ N$ D% d1 L8 d[
' [6 u) P  ~: C& J$ R$ ^if (item j( [credibility] of turtle (i + 1)) != -1)
( w# P! l- P5 d9 ]( T9 V1 ^$ r;;
判断是否给本turtle的评价质量做出过评价的节点% I  I+ {) V" f6 C/ N2 S) n# V7 ~2 e
[set note (note + item j ([credibility]of turtle (i + 1)))
  U- U% M# K9 X2 o;;*(exp (-(people - 2)))/(people - 2))]

! ^/ C8 x. E% \2 e3 l! Bset k (k + 1)  t5 X& O9 D, I9 K6 l& l
]
2 v9 r: Y# S0 k4 [set j (j + 1)
: h  A, l8 D) L]
: k* `1 P" ~/ _6 z# B* e/ k- s' zset note (note *(exp (- (1 / k)))/ k)) ^7 i1 h3 `1 j6 p; a: d- n" ~
set credibility-list (replace-item i credibility-list note)
! c: v! Y: j! ~4 d" S6 |. x5 C; Uset i (i + 1)* X- m& d0 Q( K+ Q4 b
]5 M7 e% Q) ^: g$ o2 y2 @
end# n, R& O) U  L  W# _2 l
8 @, O, `& a+ |: X+ \6 ]" x' q. w8 f
to update-global-reputation-list
# c" ?, z. H: ~let j 0, I0 M) Z& a5 q# Z3 a
while[j < people]2 C' U, e8 l' Y3 X9 F& \0 P  p
[
0 A* I  X4 a8 J8 A. E! C  Jlet new 08 L$ X; Z, j4 g
;;
暂存新的一个全局声誉/ {1 V1 j3 A& H  W" C' @" j$ }
let i 0
/ `5 n' s  q0 I& y* Y3 D# p9 T! Glet sum-money 0
# P* O( w3 ?: j1 M& Q( x# Wlet credibility-money 0
! g# p$ C& F7 r" ?3 Q/ owhile [i < people]% v. h2 n) M' ~2 q/ p; n. H
[. T0 n. B0 H! p1 t0 e
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))+ @, W7 N/ W! V) f6 }1 `2 H
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
: _! J6 M% b8 Aset i (i + 1)
2 P( |! Q3 j+ |7 B% |]* h0 Q" t/ ]" ?, B6 `  W1 r
let k 0
1 t- U& m" b/ l+ L+ b8 Dlet new1 0
( W; ]; g) H- uwhile [k < people]
$ ?3 V& L6 W7 K' G' e[
/ T! @* R9 ?/ R( J- Lset 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)3 X2 u( R( [: E/ @3 j3 v2 V& p
set k (k + 1)) D$ a! L4 G& D$ b9 p0 {
]
0 Z2 \- Q, {+ Vset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) * M4 G( M& M" t  |, N2 H! b4 U# j
set global-reputation-list (replace-item j global-reputation-list new)) @6 H3 y9 c7 p1 f# ?3 J, x  Q
set j (j + 1). D. M6 |$ T: Z9 A8 z- W
]9 x" @8 k- o: U# P- k" N- H2 C
end
1 }( |* E. O. Q: J2 S" t2 L/ a
2 |7 m! N2 x6 t: v1 }, M) C& q) W( J( G- P2 a( ?

& b3 Z: s5 Y5 I7 A. s' Y4 uto get-color9 r5 ^0 C2 h' l: Y1 ^& b% n' H

* k0 `9 [8 d! _: x5 Iset color blue

5 p! `# H: X5 T- Uend
& G, X2 m+ r7 i
/ U: l7 j9 r2 i; X, l, _to poll-class
7 v4 I/ P9 K3 X! @end
* p: ^1 }' A3 {, Q* G# v" L! n, l5 [# F- s9 p
to setup-plot10 K2 E$ W  ^: s1 x

) o0 y6 z6 D: _5 W  E9 k1 Mset-current-plot "Trends-of-Local-reputation"
2 @$ Q0 A+ }* e/ t3 n
* r# @" F  t  R2 |7 K1 u+ L
set-plot-x-range 0 xmax
, E# o; [: L) j- N  _
- _/ L* |1 [9 ~! n( f
set-plot-y-range 0.0 ymax
$ p4 O( j, t( U5 m/ |! k
end# z4 C% G7 N2 Y# n* e; {) k

3 J' N' H. q0 T+ I3 N: T0 F/ Sto setup-plot2
$ M& D' o! i- k0 h" z  R* B
0 {# c  g2 m* r" s6 U8 x, n5 iset-current-plot "Trends-of-global-reputation"
& S# S- @+ z& ?$ O1 D8 R
, P: A3 G; {  F! [# g
set-plot-x-range 0 xmax

! M$ h. T, t/ {4 v: j% d# @
" Q, N( g0 X' u8 N$ K6 _% {set-plot-y-range 0.0 ymax

8 Y  Q% Y, x$ f( Qend% c5 i+ M- U0 A3 P! h
1 ^7 j) o) h3 I/ n* _2 P, a5 g
to setup-plot32 ^. o! D9 _7 C( e) b
. P1 p0 ^3 E$ B! h) J& c: `
set-current-plot "Trends-of-credibility"

) S* F: ]7 Y! ^2 j) X0 A0 }0 Q0 e) l: ?7 H1 F  ?+ y' N
set-plot-x-range 0 xmax
8 g1 t7 o+ A/ f* P3 }4 \: b' r

. r3 e/ E. b; O  K+ jset-plot-y-range 0.0 ymax

( F2 K- ]9 h( F! d  Gend
7 {2 d8 C3 O/ S$ x! h  D& V
. ^2 s( h4 @$ D1 n4 W8 Zto do-plots
* N0 ~6 m* ]- o& ?7 Pset-current-plot "Trends-of-Local-reputation"7 u5 F! I% [; A6 r1 }
set-current-plot-pen "Honest service"
, L9 z# B0 P6 J0 E1 r- I; zend
6 x% B- `3 n8 `; Z7 E: R  e
/ p3 Z/ L! P5 C6 ~# ^0 ^0 b; q[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ]

本帖子中包含更多资源

您需要 登录 才可以下载或查看,没有帐号?注册

x
发表于 2008-3-19 11:33:07 | 显示全部楼层

有点困难

没想到挺复杂的,我去问问师兄们,不知道你是自己建构的模型还是其它模型的改进,我试了一下好像setup都有问题,别着急啊,呵呵 。
发表于 2008-3-19 11:34:29 | 显示全部楼层

还有啊

发表于 2008-3-19 11:35:59 | 显示全部楼层

还有啊

能不能传nlogo附件上来,一个一个敲太累了,好长的程序啊。
 楼主| 发表于 2008-3-19 12:47:57 | 显示全部楼层
嘻嘻,不好意思啊,现在把附件加上了.
* A" ?7 n+ E4 `' q$ V. c. G/ Q9 O. i, \. C& G
这是我自己编的,估计有不少错误,对netlogo了解不是很深,请多指教,谢谢!
发表于 2008-3-22 16:55:16 | 显示全部楼层

程序公式

我问了一下,只是从程序角度来分析,是跑不起来的。如果参照你建的模型(公式),可能会有帮助,我的邮箱是wjcpcahu@126.com.方便的话,看看能不能进一步探讨。
发表于 2008-5-19 18:02:44 | 显示全部楼层

运行不了

提示custom无值,这是怎么回事?
发表于 2011-4-10 14:42:01 | 显示全部楼层
好高深
发表于 2011-11-7 11:36:13 | 显示全部楼层
为什么大部分的帖子的交流都止步于2008年,从08年到现在好像已经很长时间没有更新过了啊,为什么呢?
您需要登录后才可以回帖 登录 | 注册

本版积分规则

QQ|Archiver|手机版|SimulWay 道于仿真   

GMT+8, 2025-7-3 11:39 , Processed in 0.020182 second(s), 17 queries .

Powered by Discuz! X3.4 Licensed

© 2001-2017 Comsenz Inc.

快速回复 返回顶部 返回列表