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: 10310|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:9 ]: r, E8 J, Q# ?9 ?2 J
to do-business
( R6 v5 M0 L2 d8 g# S' R" E rt random 360
5 [/ J  q3 y0 b7 g( B fd 10 n* M3 j& s- {
ifelse(other turtles-here != nobody)[; K/ d0 x* W7 n& K3 m" p
   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., z6 u7 ~1 F$ r$ f/ r& z! i* ]; p
   set [trade-record-one] of self item (([who] of customer) - 1)  [trade-record-all]of self   
! c6 N+ `* ^/ N: l* B   set [trade-record-one] of customer item (([who] of self) - 1)  [trade-record-all]of customer: E7 W! ~$ g3 W% {' w& F6 n
   set [trade-record-one-len] of self length [trade-record-one] of self0 B( N/ d8 O! `; x& F- C9 d! q  ~
   set trade-record-current( list (timer) (random money-upper-limit))
" q, D, O5 M( x3 ^6 G
$ U4 [' i% ], n9 [问题的提示如下:
7 v6 j2 z  `' f! E' j# L7 {1 e$ l9 t7 b
error while turtle 50 running OF in procedure DO-BUSINESS
6 _4 ]8 d; Y% F! }, ]" g* e  called by procedure GO
- V4 ~8 P/ I( J* ]OF expected input to be a turtle agentset or turtle but got NOBODY instead.
  b* a' r% v( a. K# i. k3 C% y& v
(halted running of go)
3 K5 i, }+ s* I" r" F4 m
. w% X. U+ e7 ~( z3 Z! C9 Q. |/ 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~~
% L& g  W3 b. a4 b* B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
9 X- @: @: l) v, f3 kglobals[+ S) D2 R- v$ S, a7 t' y0 M
xmax
9 t/ ?/ K/ V1 O1 w' cymax+ ?- t" G& e: x/ R
global-reputation-list1 `; y& Y' M! E' ~

4 X# {4 s6 j$ K8 p% Y;;
每一个turtle的全局声誉都存在此LIST, i+ d# J& k% i4 K3 b* \% ^. s; K
credibility-list
0 y, s( p) Q: w- t% E;;
每一个turtle的评价可信度5 O# h. J& q9 j$ g
honest-service  s) Q' H" \6 T  c1 }2 q1 i. U
unhonest-service
# {$ ^6 p4 ?* @( s- r+ doscillation- w" R5 E1 l1 B! B$ d
rand-dynamic" i8 g# v9 X; l/ E/ u; K
]
$ G2 Z7 b8 b6 U; {+ r" G) O0 _9 E* |
turtles-own[
  @$ c5 I6 a- E. itrade-record-all
) A# m9 V5 F. y* _;;a list of lists,
trade-record-one组成
- O9 Y8 c3 K6 k; Itrade-record-one8 B: w+ ?  Z0 F4 s* B
;;list,trade-record-all
中的一个list,作为暂存用,记录两个turtles的交易记录
6 l0 V- m6 O0 C8 V( @9 }
3 v" Y: g) v7 q4 b4 E' c$ i;;[
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]]
# ?" `# S# g" u' O2 strade-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]
$ f. t. `; w1 o% Wcredibility-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list2 B2 e* n! X% A
neighbor-total, n6 \% h+ I$ |( \
;;
记录该turtle的邻居节点的数目. G* X! y; d. Z, ^# U/ v
trade-time
3 w% `0 b0 G; g' x, ?;;
当前发生交易的turtle的交易时间  H7 G. a* L( ?
appraise-give
* {, s3 @3 f  m;;
当前发生交易时给出的评价
/ d- m* y- V: ^/ T! Z6 B* ^appraise-receive/ C8 {9 Y+ a5 U6 B) x& v
;;
当前发生交易时收到的评价
9 S( V4 k; ^9 v' R/ Zappraise-time
7 G2 H) M5 N7 |  Y  I;;
当前发生交易时的评价时间$ ~2 M% `3 Z4 y" V7 B$ Z  b! P
local-reputation-now;;此次交易后相对于对方turtle的局部声誉# X8 o2 J- {0 t
trade-times-total' b' p8 f0 F( g6 H% K
;;
与当前turtle的交易总次数* f8 O& e6 b* C, N; K1 _( D* [
trade-money-total
0 v4 k. @' T/ ^- q6 I# b;;
与当前turtle的交易总金额% m9 M1 m) M) @$ H* e. N
local-reputation: m3 ~; Z, n, D/ d
global-reputation6 V- m, V% O( |. e" @# q9 Y, W8 N+ `
credibility
: b8 d. j8 J  j: @" W* u1 ?) R;;
评价可信度,每次交易后都需要更新
' e0 q: Y) R7 \9 ^+ D0 vcredibility-all
# m* U) A9 h: ^;;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- T: V! y; X% e& y

$ F$ f+ q& N$ z2 N1 G;;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/ d' f3 b( i) d' l; J: O' f
credibility-one
' n. V- z4 s( f4 s& z;;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* i, q$ O& ]: e
global-proportion
- u5 R/ n, \3 \* Lcustomer
/ N* U. T0 X" q/ n, n' q+ y2 acustomer-no
2 y- S7 ]( N" _+ ~) Wtrust-ok
- z( k6 M  m) y( A0 e; Ctrade-record-one-len;;trade-record-one的长度- l6 j1 A* X8 v: z1 A
]* m$ F% ~! E4 y* p$ |5 p! C

0 S% |' K$ h: c. h$ n- H* \& R;;setup procedure5 c# H3 K$ W4 ]5 l5 e
( T9 w  O0 g7 f% F' s9 h# c* c6 N
to setup
: i% M2 a6 R4 ^2 m4 [. g  I4 K; s4 ~! h* q. q
ca
- Q! I9 e& J. p" ^& s' K$ Z
% _. N/ s; t% |
initialize-settings
, ]& w* J6 \. ?: P

: G$ z/ Y! J1 t: ?: h3 h) Zcrt people [setup-turtles]
" @( [7 Z7 f/ f8 I# J
. g: R! e% E$ c& M, P8 o' k" K
reset-timer
  Y. E' D$ N' E# F. ?0 S; t
- @" y( m+ T1 H: U0 z% y
poll-class

( z$ U5 [+ E. e+ v+ A- h2 M: Y( r9 T6 |. S6 T
setup-plots

5 g; W% u1 x8 q* Z8 M0 f( ~
  D0 w% e( q) V7 W8 T( [. vdo-plots

- f/ t' o' N2 V' p/ x( E! c# kend
' O$ {6 g$ e6 p! m# p. ]% t9 V* E" C4 x0 b2 l$ C+ p
to initialize-settings
5 k/ I! Y# {' R) Z+ H+ Y$ x  ?& x4 q4 |8 g' @
set global-reputation-list []

1 b) U4 O, E" k1 M9 V: A: O
' N5 g& y) D( O; eset credibility-list n-values people [0.5]

6 `2 R$ g: {% i; G+ x5 |  A$ J6 E7 Z- h, A( M% z6 z( E
set honest-service 0

5 |) u! |9 V/ b/ M( O  q- L0 w, C* A6 O% z' d" g5 }# a
set unhonest-service 0

( o, C/ s. E% i4 j* T5 z
, k* p. k  d0 ]8 n4 u* Zset oscillation 0
/ A6 J8 T% X2 E4 @! J" A+ Z

$ F( d! d! ^9 v0 p- \  Xset rand-dynamic 0

, o/ t8 c' i$ |) q# @0 X7 j- Dend2 S2 P4 M9 B8 ^- c# x, h

4 D5 B$ j( L/ _. g9 S- v- b% b! Wto setup-turtles
. ~6 {  [6 o/ f1 O4 ^set shape "person"
; L) ^; d9 S( z. |2 csetxy random-xcor random-ycor
+ b4 ]6 X" v4 s+ `# _set trade-record-one []
. V; Y5 D% M2 N( i/ g8 M) M7 e
/ N7 d7 R4 N/ w5 w  C3 y
set trade-record-all n-values people [(list (? + 1) 0 0)] # K6 s, r. \; M. }+ T- B

0 z1 Y; K' h5 K1 C6 P2 i. hset trade-record-current []
+ N. @1 @5 ~7 p. zset credibility-receive []
& D' \4 U# o% ~3 z* m& M. z9 b6 I$ Uset local-reputation 0.5
4 g$ E$ \% P) a# Q7 iset neighbor-total 0# {4 p# r! _5 N" |5 {
set trade-times-total 07 v7 ?0 ]; z3 Z
set trade-money-total 0! O: z# e5 W; l( I4 E
set customer nobody7 t6 }  C/ {! s1 Z' ]: N9 L
set credibility-all n-values people [creat-credibility]
$ T0 R4 {+ X7 |1 r4 R& hset credibility n-values people [-1]
: Q9 h. b; V+ E$ i( Qget-color2 \* [( e9 _) ?- G6 H/ t$ W, N) A
: R: [7 @" C7 g0 C& @7 O5 E
end
* f3 ]/ I4 b7 ?: w8 c& V# D( t+ R8 Y! A( ~& H' N: s# ?
to-report creat-credibility" m, V& x& ]! L1 I2 `& K; [- C
report n-values people [0.5]
( |4 u, r1 h  K& Iend
7 r$ r7 \' }4 h2 D3 }. ]9 K0 S! ]) P; n2 S4 }' @) y) t& A
to setup-plots. V! E. y) d1 r3 l5 U" C* {
  ]. g, n! _  `+ W, k# Y+ B
set xmax 30

) K* m8 {. L' O5 E% J% H  c( r. L- i7 V% v; I' c1 ^
set ymax 1.0
& L: i3 f3 h) J5 Z: L
. g' w* L+ _( k  L2 w$ I8 [" C
clear-all-plots
( d& V  P- c. V3 E, @
6 C8 ~2 U8 _2 F3 l3 \
setup-plot1
$ p1 L! f8 e- p; }
+ S. b8 A, Q* F- |$ P0 L! F
setup-plot2
) J* r7 @. P& v/ U1 ^) U

$ A5 ^1 B0 Q4 u: W5 Ssetup-plot3
+ Y* W1 w6 p1 ]& e+ K  x& \
end6 t8 I, Q9 ?( o9 q1 T% T
" p3 b. q$ R6 W
;;run time procedures
8 }  Q' F+ ^2 M; i+ E( E  s! A. [5 j: A* R7 q( r4 B& n3 w2 M
to go, z" [0 W/ \  N
3 t; u6 C& U  f, h% B+ `1 U
ask turtles [do-business]
' f( `# M8 q6 }2 x
end: L1 Z  ~8 a: v6 _) l  p2 P- a

5 J+ ^4 M" A% r# a) g6 \' s9 x# ~  pto do-business
% a* ]. a0 n. I& s8 ]! ]+ f
% d1 ]% K/ y6 G. J

% [! b6 b7 G! G* J% Xrt random 360
! P3 P2 a5 V' V( K0 U1 k
" t3 W) _1 Q- o% g, v
fd 1
) S. i* H& \  N* l& }$ \

% r5 R* G& g+ m1 h0 z& Yifelse(other turtles-here != nobody)[
4 ?6 I0 J+ t. o9 K3 n9 _

( U. {6 K1 i  sset customer one-of other turtles-here

* N+ O  H$ g6 E
7 I& V- l1 [) x. Q/ j;; set [customer] of customer myself

0 K7 z" ^% [3 o. p- O' U2 O: O. n4 d  k* W& v4 Q: s3 E. m
set [trade-record-one] of self item (([who] of customer) - 1)+ ^5 M. r9 F2 [) J
[trade-record-all]of self
+ j6 }; Q- o) z+ _; L+ p4 ~( F$ ?3 X4 `;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
8 U9 v2 B( T  x! U

3 p" I) L" I$ vset [trade-record-one] of customer item (([who] of self) - 1). v: c9 C" L& G7 E) I
[trade-record-all]of customer
* J# l1 P$ d# t# k- C! h' G

  G" |' l# N: ]  D0 Bset [trade-record-one-len] of self length [trade-record-one] of self

# p) p. N, {( D0 v; l+ J8 u( B& D) d& p  Y. h1 [, ^- p
set trade-record-current( list (timer) (random money-upper-limit))
+ U% y9 w. O" U% @# ?
6 \+ O' d3 A. v6 `
ask self [do-trust]  X- ~" U! g" `: v" [; j! Q
;;
先求ij的信任度
% P% e0 i& b! Y1 r3 G
: ~2 P% [4 y( y( f1 g4 n$ ]2 b! R  hif ([trust-ok] of self)
& ]: W6 \  @! g, t% h3 }# C;;
根据ij的信任度来决定是否与j进行交易[1 D* h2 N2 Z  [
ask customer [do-trust] if ([trust-ok] of customer);;
这里可能会用到myself, [$ ~, u$ S& B! t% V( U. T! l# _6 Z
% W8 T: I4 z5 t2 @$ M7 q4 R
[
) g. L- s  D7 w7 R. _' `

' Z. i7 b9 Y, ddo-trade

) L) G/ ]) l% g' l) `9 l& a4 L; \2 ^
update-credibility-ijl

8 `1 {: m% a9 q0 f# @: t; G7 A# r% W, L& l. F, k, ^6 g% x: V
update-credibility-list
" b8 y6 l# g( _
# Q. ^& U" b$ q- x3 i9 _' J
3 T( v+ C2 h9 a$ o1 P0 Z- N* y" a
update-global-reputation-list
5 z9 Z) ?( j3 j% l
! l- R# [# ~, `3 `0 ?4 @7 ?
poll-class

2 t# R; X6 _& t$ J* I5 T+ i; \6 ?; H
get-color
) ]9 m5 m' O4 ]' a# t
6 n6 D1 G4 @& h& E) O1 ^0 d
]]
( g) J. F( J  M9 [6 v
! i+ J0 h3 @& g( }9 E. ^% I6 X/ h9 P  w;;
如果所得的信任度满足条件,则进行交易
7 k  h7 H* B# {# W# T1 [& B5 P- G  o
8 ]2 U9 X) a6 H% ^8 _[

6 R. N1 s. m* W/ E2 h' H+ Z* T- _7 [& k5 J8 C; V0 c8 k; @1 v
rt random 360
! d( h+ A  G! m0 c2 q% O7 M

* Y" v; p) g0 m# B, Y6 q- h7 `* ^: v' Mfd 1
0 `) h6 J: [+ d) O8 y" @

. y/ I! R; j6 C, y  U2 U2 k* R0 J]
$ @9 Z5 I5 g' ^. M: G9 J
0 w# y, B  Y9 T7 I( ~% D* z
end
4 d* N( K7 p0 S4 C0 {% F

+ E0 \6 G% v8 cto do-trust
' [5 L# U% K# ]/ o  Z6 N, wset trust-ok False! g2 |9 b2 d; V; U9 s  X

4 S, b9 P9 t1 _! D; o

5 E, p8 v- O3 I+ Alet max-trade-times 02 J* F: I4 z1 V' [$ B& v9 @
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
; R1 \) W0 J( i( _let max-trade-money 07 v, \& Q, U+ a$ ]+ \. p+ h
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]5 ?* I5 X' i6 O( R+ |4 I
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
; b( h# \. ~# \- L# T
3 q3 t6 T) ?4 e" c1 t1 w  _1 v

: }2 b5 \/ Z7 u6 T8 ^get-global-proportion
0 y8 r/ x7 N) t9 q' ~let trust-value  S. v3 G# l5 R! s  M8 j
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)
6 ]6 I" k8 W+ S6 e( k$ u+ n$ e5 `
if(trust-value > trade-trust-value)
- {1 {$ P8 i& D* J2 q- y[set trust-ok true]( g5 I, V9 X9 y$ Y
end9 R4 G3 m- j( g; j7 d1 F$ _
2 f; t% c" j$ L, ^1 @7 p% E
to get-global-proportion
* f7 c2 r* U4 B1 K3 Tifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)" n. Z% a3 E% c2 T
[set global-proportion 0]. l3 ^5 A" }# A" F/ [- v
[let i 0' `4 a" I) Y! f) L
let sum-money 0
3 X+ _, A3 F- c# r& V& Pwhile[ i < people]
% r2 m2 x  x5 U[
; I" u3 J; W; x1 l$ ?if( length (item i% V3 k, s7 B( u2 x9 V7 y
[trade-record-all] of customer) > 3 )
" C( r3 R) n" _" i& d
[* t! L& k5 F+ z1 [0 w" ~( j
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))9 P: b, c5 ^3 b, s/ u7 @( y5 A
]- Y1 e9 F4 g3 y5 k; p! s+ Y7 Y
]
5 B0 b) K/ D* I2 f! p; ?' _let j 0
- Y, L& Q0 K# mlet note 0" x/ G8 Y5 U0 L+ j5 Y; r5 m* }3 N% X- w9 W
while[ j < people]
0 c" {( l5 R; l% {) c[6 I3 ~+ d! v* @( w9 b; o
if( length (item i
1 l% |* K; c" u0 H+ q[trade-record-all] of customer) > 3 )
" {, ^9 P) G3 T4 \, x
[, b. V, ?7 Z4 s6 d3 \, e$ X% h
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)& R! C* F; `1 Q5 j# b. F
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]  w7 V; Y/ L/ v. j+ m
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]9 b4 H  r/ W. g
]6 a3 n9 j2 [1 N
]
' ^( M% O7 K) B# M" tset global-proportion note" ~& L! G! Y, R; I, U6 g- v+ u& }4 C
]0 G+ n+ h0 e$ j% J$ x9 ~
end
2 F" i+ K# {0 A. j" X3 o: n2 a4 t/ ]: H" W. a) @# v
to do-trade) I( N8 U( y. g: ~1 n& A: B4 m4 o& v
;;
这个过程实际上是给双方作出评价的过程$ Y( Y8 [4 k" r' Z. e5 x( F+ Z  K
set trade-record-current lput( random-float 1) trade-record-current ;;turtle 得到的评价
9 U+ z+ @8 G% w- B+ N* kset trade-record-current lput( random-float 1) trade-record-current ;;turtle 给出的评价
% M7 n) c* m, S2 R& b3 I5 Fset trade-record-current lput(timer) trade-record-current
$ M& o0 l/ T6 I4 a/ g. z;;
评价时间) M$ u; O7 c6 l/ {0 n/ v7 e% x" ?
ask myself [
3 z  @1 @. q, f) |# yupdate-local-reputation
9 }* ^$ k/ o4 x$ eset trade-record-current lput([local-reputation] of myself) trade-record-current0 k+ C2 P- t8 ?
]" c- \9 F5 `2 ~: C& Q0 }
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself! B9 }) H4 M, W/ W% _  y3 J
;;
将此次交易的记录加入到trade-record-one3 }9 `4 x: p, X% `- ~0 v1 A/ P, h
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)  N4 v* ?# z6 y  E' a# C2 }5 |  C
let note (item 2 trade-record-current )
8 E0 [5 H- m& ^6 k) ~& W2 pset trade-record-current
# H" T, r  U! D' _5 Y. b(replace-item 2 trade-record-current (item 3 trade-record-current))
, Y- o! t3 e, M9 ~6 i/ {
set trade-record-current
) \* ?4 w) K" H: @; y(replace-item 3 trade-record-current note)8 [5 F2 L5 a& \& W
: j5 w$ {( m# t* S4 R; `
% Y9 h7 `7 [) \% v7 x
ask customer [! }; e: w! C4 \/ G
update-local-reputation$ g- L: q$ `7 i, L. N
set trade-record-current
  ]0 B' R" o; J3 W7 Z2 g(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))

) a0 z6 `% z% i- F9 S) S]
( ?! b) Z9 {. I+ x+ B
, f- v* o5 S$ d* E6 z* O1 U

$ E1 F! b, N- P# B/ S1 Jset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
* }6 c/ D( ~4 Y6 v/ ~" t& z, N" w. S
* A( N: ~) ]+ ]( M9 h
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
- D5 J2 `: g5 m. g9 R1 R8 H;;
将此次交易的记录加入到customertrade-record-all, s( Y1 f& r- _# ?2 D
end  r' l! C! e) o. L
& I3 L2 B$ v7 t6 Q
to update-local-reputation  |7 v8 V; D( y6 C! x3 G
set [trade-record-one-len] of myself length [trade-record-one] of myself1 i2 s" E* M& [

$ h# w+ L* ?& I! i  h
+ R/ a5 ^: J9 p8 D3 S;;if [trade-record-one-len] of myself > 3

/ ?  Q, B8 j% h  m8 uupdate-neighbor-total
) E% k+ C& G" M# i8 o# J;;
更新邻居节点的数目,在此进行: D4 K# p' P5 m+ a/ |
let i 3
$ [9 ]4 z& K) s! S( D' C- @8 mlet sum-time 0
- r( b" B  P! E# s# X* a" vwhile[i < [trade-record-one-len] of myself]
/ i" O; n, M" H' _+ @0 j9 V[6 n: |9 q/ [- Y6 ^& N. }
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )7 h( V# ]) x4 }
set i
# ]7 I4 F+ ?5 r2 s" |( V( i + 1)
. k9 m6 H% M* C
]
3 Q% G- y8 q1 ?. d+ Wlet j 39 F+ l2 O; C" T, ]7 Q  ]
let sum-money 0
$ J1 X4 w/ p: [: K! Twhile[j < [trade-record-one-len] of myself]. S0 T- C/ t, \! g' x6 O
[3 R! u. L; i2 g" @) f* l
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)8 {5 {1 Q9 K+ n
set j+ O$ G1 v& @; T+ Y; S
( j + 1)
* h8 P, K0 ~- M# n" |0 F
]
" C' J. c2 @( rlet k 32 v9 o9 P4 K( [
let power 05 P2 n, V/ V! T) C& L' G! i
let local 0
' z! J/ r& Z8 g; D" c; x5 Lwhile [k <[trade-record-one-len] of myself]
2 \2 \& H! O2 z[
% [( i: P& b& l- 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) ) F" D4 t3 Q* ?0 J
set k (k + 1)
/ M# Y  Y3 o; F: }/ G( A  b0 ~2 l' R) a]
9 Q% q$ o; g' B2 H* n" D, R8 Sset [local-reputation] of myself (local)
" b5 b0 c- v% ], K; `$ ^end
+ o( b# ?8 ^5 V9 G0 X. \- ?& J# o2 C7 `% @% ]' C% ~
to update-neighbor-total+ K8 t7 K* \$ Z( Q* Y

* S+ X/ q2 R5 s. n# o: Jif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
  F1 |* U1 `1 E6 I" N: w/ Y- \8 _; y1 C

) n, M6 O1 x: `9 N* ]3 j% h; eend* _; f3 w/ i- X" K6 ^

) p  G' q4 e  }3 D% Bto update-credibility-ijl + z  d; p5 P8 c/ y8 h9 V. O
' D* _; H0 y0 U- T3 j
;;
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。
: W! s9 o. x; K1 vlet l 0
6 k4 L# M' o% ^; S+ H/ Y- Jwhile[ l < people ]' q0 G" A5 a/ v6 n; x/ 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& v. p' J7 d4 R8 E, u6 G6 J
[8 _  ^( i6 \6 R+ f
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)& f4 q- H: |" Z( L; s
if (trade-record-one-j-l-len > 3)
1 u% X* @' U. E. v& p: U[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
% T9 H' F" O& U' `5 u7 |/ |let i 3- n7 s( e& K: Q/ a8 J
let sum-time 0
1 f' i4 Y: a; G2 I' s! j  `while[i < trade-record-one-len]3 b: G. Y' a- P1 R2 I/ C
[
2 |; b$ S. |1 Z: Z$ E6 }set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
& U; W- F) @3 O- {3 ]$ q& e& tset i3 a7 K. P& j" _6 s6 E
( i + 1)

2 C+ Q. |7 H6 n]
* a5 Q" C- q3 s2 i. t$ ^let credibility-i-j-l 0  B6 C# u: S$ [' G) e% O
;;i
评价(jjl的评价)$ r6 j2 y+ Q) ]' E' T3 _' Y0 K% a
let j 3
! D' \% W7 n: [/ v7 ~- Xlet k 4
1 O+ o" {. \( G0 I8 Z4 Q( ]) mwhile[j < trade-record-one-len]$ ^4 j# e2 j+ \. Y7 E
[6 @0 s/ p& S  S  ~
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ik次给l评价的这一时刻,l相对于j的局部声誉5 i! r8 i7 F: Q0 |2 a9 g7 R# S( H
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)( P$ G9 V8 z* F/ ^
set j
* c) F2 S  q5 U6 s4 H( j + 1)
+ W. N, ^* ?0 v) [+ Y; _7 d
]
4 @- S0 G0 S$ d; ^7 ]! oset [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 ))  M8 |% j& Q# b$ G2 Z  N+ `

1 R" n% v0 D/ N' h

1 r  G2 g; T/ [/ ]( N- l& \let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
; L3 P8 w2 y% Z% Y9 G;;
及时更新il的评价质量的评价
. R% C8 Z+ z. x+ {1 d6 {, Mset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
/ M, |1 h" K3 r1 Y2 l% m( Rset l (l + 1)
5 P# i2 k2 Q+ E* B" K) |# s]
& B$ y5 k/ ~, {2 I) j$ k$ Bend8 |# M6 t9 V0 V: J

0 k" J! U7 y5 {( Zto update-credibility-list/ |+ k4 q8 X+ _( D) q
let i 0
) U8 }% m, X! A- t; `. zwhile[i < people]
8 q! G7 X& Y3 X) X; H1 b[2 n/ t* O; ^% M% L: F
let j 0
# D6 s" [/ ]2 `( F* E0 B9 c. v. blet note 07 U5 Y3 K$ B5 v( I
let k 0
4 X( _0 h6 T3 y* |* _$ n;;
计作出过评价的邻居节点的数目. D$ ]3 L, f. T( z
while[j < people]8 r/ [) c$ \3 o
[
/ w* _* L2 B' }; vif (item j( [credibility] of turtle (i + 1)) != -1)) `5 v* b" j0 k8 S& p) G3 [
;;
判断是否给本turtle的评价质量做出过评价的节点
" `* K! w2 L2 ]4 j; |# B6 w: q[set note (note + item j ([credibility]of turtle (i + 1)))" t1 V9 {% O3 @' {
;;*(exp (-(people - 2)))/(people - 2))]
- w7 E, J. V5 u8 l" [: l+ P
set k (k + 1)
% k& m" Z: `- {0 B! X. ]! l]
$ V' v' ~) \% m" eset j (j + 1)& r9 q, D$ V( W( e9 f
]! D7 ?. T! K/ T0 A  ^4 B, K1 e
set note (note *(exp (- (1 / k)))/ k)
8 a$ j7 P1 E" W3 `: L0 b6 Yset credibility-list (replace-item i credibility-list note)+ o+ o( d5 E6 }+ [+ S0 ~
set i (i + 1)
/ s: {. T9 n2 [$ []
" Y# Z" b0 u) n, x5 t' Q# Lend: o, q( i( o. B& P5 e6 K. W: P. \
3 R0 D+ R( L. z6 ?
to update-global-reputation-list2 l; R: D; e! d8 P+ b: }
let j 0
: a% H+ B8 ^) n3 `7 |% Vwhile[j < people]
  f5 _" c" X! ][
$ k5 N2 ?9 K% ^) {4 X1 {let new 0" Y  N. ^5 l5 O# r# h
;;
暂存新的一个全局声誉5 S; k6 o% A7 H: C
let i 0
/ t1 {1 v, U) A1 {' klet sum-money 0
, q1 @' E- L% zlet credibility-money 0/ k' ?, d- S3 ~3 \3 G
while [i < people]& `1 I+ I; R  _2 P9 b8 N0 u0 Y/ Z
[# W* o4 f8 m% E6 _/ r6 M" D# @7 w
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1))). `$ Z- {  \3 f1 E: |% B/ W  R( n
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
" [6 i* Q/ M; D7 cset i (i + 1)5 [: C' U6 D5 h$ U; Q
]
, @3 ~5 O4 z) N" B0 |3 o  alet k 0$ Z: f- a" v/ g2 K. k& \: m0 A- {
let new1 0
- Q. v; |4 F+ `7 n, ~while [k < people], u0 f$ D; J6 T$ G0 f: p  d
[1 k$ Y0 ~; d5 h5 W0 d
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)
, l6 `" X! d( {( Y' @5 Vset k (k + 1)
0 |+ @! @" D3 ^% o. q]
6 Q7 c. Y& |% w1 x4 R" a( [5 @  rset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
! ~4 c: C( n' X( mset global-reputation-list (replace-item j global-reputation-list new)
& u& b$ w/ q8 E* P2 b( Fset j (j + 1)
0 n$ ^4 L# l/ Q# ^2 @]+ ?1 V: e* Q+ W
end
# `( G3 b8 o9 N4 m* i- e, m: @8 K; W: o1 g

+ y( f  @7 |7 ~" ^- m/ n% h8 m0 H# r
to get-color
- [! E$ q1 I0 `+ c9 J3 I$ U5 e
! f& C; H3 Y, ?2 j8 ]1 a* A3 b" x# s- fset color blue

% {$ ?* q  Z4 j' o% _/ m* ~0 e  Jend
* s% ^, z0 i/ i, }  Q4 H% {# W: w( ^% g$ z8 d2 j1 z, n6 h: O  u
to poll-class; [1 R0 w' q! ~; N* ?6 x7 B% \4 K: t
end
- Y5 @  z. Y* {' B; R0 v+ S# E# o7 ]& s( z; r: M9 ]. @. d
to setup-plot18 W; O  a4 Z; [, N

6 r) P/ c% n" w/ P& X, n* cset-current-plot "Trends-of-Local-reputation"

' h, V% |( c+ C0 o; r7 j' \; E) @" @+ W
- i5 |5 T/ l* J. ~set-plot-x-range 0 xmax
# [+ u0 z$ V% G, l' p8 u
6 d! ?' l8 G$ `, x9 E# h8 }
set-plot-y-range 0.0 ymax

9 l6 @5 R, r! d. M# A) lend
2 U- |. W0 }* }8 I; x' F7 N9 r& \+ _8 `7 e* G- `6 A
to setup-plot2
0 I  G6 L' U/ M  W9 p
& F  I: n* N, Q/ Tset-current-plot "Trends-of-global-reputation"

5 M% }3 J( ~  M* J" u. ~# @$ b) W$ J! p8 ^( O
set-plot-x-range 0 xmax

3 M" j+ V( n9 W$ L8 C! s" t" j, g9 c$ Z: g3 z4 Y% g4 \, |. Y* C
set-plot-y-range 0.0 ymax

6 P1 ^$ a) p0 `8 {$ u. R1 f9 }end* ~. Z- P# ?  u* G6 s% x5 c0 N* V
1 ]* H7 A6 P+ A1 l4 j& \2 t
to setup-plot3
! @) b# H" F2 h; t, e: |4 \9 u0 L+ [8 |- z5 d
set-current-plot "Trends-of-credibility"
5 }( K2 I% f( C" }8 O
; E6 N$ [$ r& [0 H
set-plot-x-range 0 xmax
; D4 E: L. M; U1 d5 k

$ V5 h/ E5 ^) m; k1 Jset-plot-y-range 0.0 ymax

6 v; y7 M+ I- e; P; s/ K0 Qend
! ]% f7 h6 [; }
6 t% i3 p/ ~- ito do-plots$ q$ b9 A- p1 `1 l* j
set-current-plot "Trends-of-Local-reputation"8 c6 S) h! j% A3 j
set-current-plot-pen "Honest service") M) X/ |6 L. d
end
4 J' }" _5 @1 |, E# f7 [: b# y) ]& r3 y' z# k/ g# `
[ 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.5 n  t1 t/ U0 M5 _" [

# ~  `$ s9 Z0 d& c: Y0 A& b- k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, 2025-11-14 15:02 , Processed in 0.024114 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