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: 12024|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 E+ H+ @2 R3 ?* h+ N
to do-business
2 ~' T  a. T- z! A% e rt random 360; l( K8 G# I5 G, M
fd 1# X& ]" a. Y; b& F
ifelse(other turtles-here != nobody)[2 }% ~1 x7 P- l( h9 T5 w* m
   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.2 ]9 q) ?5 r. o: W' u6 Y0 R" Y; ^% E
   set [trade-record-one] of self item (([who] of customer) - 1)  [trade-record-all]of self   
- m6 T9 q0 b$ w" n   set [trade-record-one] of customer item (([who] of self) - 1)  [trade-record-all]of customer
3 U# e+ ]: I/ R0 w# K5 e   set [trade-record-one-len] of self length [trade-record-one] of self" q& S$ l/ N' x- w
   set trade-record-current( list (timer) (random money-upper-limit))
& t: ~: L9 k, G5 U6 T5 M! a) Y# A! k( w
问题的提示如下:
* n' f) Q; O2 `2 @1 K3 m4 ?) ^' S# m8 v# {9 l* b) k2 j5 F$ Q1 B4 d- C$ P
error while turtle 50 running OF in procedure DO-BUSINESS
! P0 h0 q: Q9 I! X" E; a3 E  called by procedure GO( O7 P/ x0 J& t  a' ~# i
OF expected input to be a turtle agentset or turtle but got NOBODY instead.
& w. q& {6 m) S3 p$ x7 P2 `3 x
(halted running of go)
/ j, A* u$ m. V5 [: l4 J( E. @- w% U+ d+ ^; m* Q
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~~
3 s- S7 C$ W) _' s7 Z- D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
# B! r, D  G3 P% V% r7 E2 I5 G" ~globals[0 E: |" a* G! c7 k3 N
xmax( {. q  p3 d6 t. f
ymax1 h1 {6 O! @6 n0 s$ A
global-reputation-list
" Z8 J0 T0 [9 j# Y2 e5 O" d/ E, R
4 g: h' O7 {" k3 v0 w2 ^;;
每一个turtle的全局声誉都存在此LIST
8 Y6 A) Z1 w) I8 g& Dcredibility-list5 E+ L7 U% i. k+ S5 g
;;
每一个turtle的评价可信度' g3 N! w& ], @1 u8 V# O
honest-service, N( e! ?! b! h- l# k% _
unhonest-service
+ A: Y4 W$ F' T# u5 @1 Y: ]: ^oscillation/ I* b6 _! l" }6 f) N" V
rand-dynamic/ w1 Z! K% n. j/ i8 w! T
]" z8 u6 k( a. m  L6 k

) \% D3 V5 ^1 n% z; Q& ?7 s6 u& Pturtles-own[& s  o( o: p' p) V  T( L5 Y( D
trade-record-all
6 v* ]/ U& E' Q* V;;a list of lists,
trade-record-one组成& X! c6 T, a# o0 x! G+ B( M
trade-record-one: {% K. ?% k, b: S" `) g  M
;;list,trade-record-all
中的一个list,作为暂存用,记录两个turtles的交易记录
8 V  O' `+ U0 B) K+ E, ?( }% i0 G( k1 g0 ^: s$ i8 }7 i: 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]]
: v, U! J2 }4 a( T$ _) k  q1 z: |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]
  i0 |/ j! O1 b1 d" ?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
7 \" S1 Y; d% k* ?# P, ~4 K$ jneighbor-total% `4 y+ p% z+ T% ^' y, q- I
;;
记录该turtle的邻居节点的数目+ C8 v( T1 v+ S( Y
trade-time
- U3 C' k1 l1 v& L' R;;
当前发生交易的turtle的交易时间8 x; O- W3 d9 ]% d' s" R9 p
appraise-give7 b* L0 S0 q, X. i* v
;;
当前发生交易时给出的评价
8 K5 o( d" y; [$ S% j. |$ `6 b' x/ N) pappraise-receive/ [2 V; F5 i! c! T- E8 n3 m
;;
当前发生交易时收到的评价
' j+ z: X3 m9 gappraise-time7 b' i$ e6 G( J0 h9 \, @
;;
当前发生交易时的评价时间
- V2 S3 L! D; O4 A- K- {local-reputation-now;;此次交易后相对于对方turtle的局部声誉! k# z7 z; S. `# Q- i
trade-times-total" a' o2 B* w* j% t: R
;;
与当前turtle的交易总次数
( L  x% J% ?6 J* r1 ?& I" itrade-money-total# P% w& I5 C" b4 K* A
;;
与当前turtle的交易总金额
! R' T- j0 ]' M; T( L1 K6 ilocal-reputation
6 R$ b3 q& K: ?1 F* O$ _global-reputation
: D* v! H7 N8 @" V3 v3 u- rcredibility8 v7 K4 e% Y+ u3 j. s8 i  m% M  d
;;
评价可信度,每次交易后都需要更新8 }! c. ]7 g& O, e% {  c
credibility-all
0 J& X! I2 V' r: W5 ]  v3 S! o;;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7 O' F' T7 `" x2 C- E. M
" k, ~- a7 \/ L+ G# `7 w, Z, m
;;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 }8 z* _! fcredibility-one
8 Z* j. a! o: z+ i. i/ X0 F- ];;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
2 w/ x3 I2 I7 J; @0 l: O1 C, Nglobal-proportion8 W+ ]7 S- N) ]$ j
customer& }8 `; o1 P0 B8 s
customer-no0 }8 n. ^& ~3 c. a* }
trust-ok1 G" f" B, I0 c; N! g. v
trade-record-one-len;;trade-record-one的长度
# E5 m' j; R' k" u" D]
4 M" j8 s9 Z& a/ B1 {. ^; R2 T3 |& t. \6 v
;;setup procedure! X: R3 g# g, g+ L. U

' W0 T3 X/ R9 Mto setup$ j4 {0 @" Q! V7 @, L
3 o" o. x+ H4 l5 A" h- `6 l
ca
' T# s  y9 ^! v6 G) M
8 Y( l! R9 C, m
initialize-settings

2 R& Q6 O6 G: N2 d: L$ [5 ]! ~) m7 ?" ]. Z$ t! m
crt people [setup-turtles]
# Y5 ^; Y3 R4 D. a' H7 p9 H

6 v& ?& C' ^- ]% B/ x* Sreset-timer
# A& |2 N# P" C! d3 F; k$ k

. @, |* g+ u' Q# ]0 Zpoll-class
( K0 r5 A- o+ \6 z! w/ W2 t
8 T" C: ^5 m. l- n
setup-plots
1 O( b- @0 N6 y8 j
& ^! H2 I3 C& `* W: i# N
do-plots
; l) B2 f/ D5 U( d
end
2 s. R) I+ |' s- b+ p8 H; ~* o3 o& |! K( ?9 h# U/ H) i
to initialize-settings' B- r1 {& e  {7 {0 S" M

& x- Y9 f" N* zset global-reputation-list []
, w( x  _" h0 v
  Q: Q4 S0 j2 Z! B+ d( S& j
set credibility-list n-values people [0.5]

. v  }/ a/ y! f! \, n& k7 l0 g
) \( z) V3 L; L1 h: \% ~9 a/ zset honest-service 0

4 R9 B$ N* O. _1 E* \. K- [
# {3 R5 P; I# F. qset unhonest-service 0

9 t9 N4 U* u3 t8 E1 D8 N! }' s0 F% l+ T. B2 k% @" \4 g% H
set oscillation 0
7 _4 L+ ?! z1 g" R% l: ~% }

0 Q. {/ `( h- D! ^) a  R& u" Iset rand-dynamic 0
4 G" @# ~  b- y1 \0 K$ ]
end2 x' W! c; Q; ^) X7 P

0 e1 x0 [% t; i9 c: i$ K  Cto setup-turtles
5 S. K, {& D* F: x5 s, v. C; W/ Zset shape "person"8 F! ]) P) J) ?; R- ]% V! F
setxy random-xcor random-ycor
- m4 d$ w1 l7 `  a8 b* Iset trade-record-one [], L9 Z4 B- ^0 b: s$ `1 r
( h- R& S0 @8 T! \# y
set trade-record-all n-values people [(list (? + 1) 0 0)]
0 D  S  u' a. i( ]  [

0 i. E- c1 I6 F: _set trade-record-current []
+ [  C( |2 F2 Q9 _* m, l1 Eset credibility-receive []5 L0 H0 `+ i9 _0 H- r
set local-reputation 0.5
( e  m$ M5 z8 |set neighbor-total 0
  v% b9 Q# K* y5 C7 q$ @/ R# Cset trade-times-total 0
8 y& U- @' q1 m/ ^$ x9 a1 @set trade-money-total 0
7 Y) P3 v2 j4 W) r8 tset customer nobody: x. R) \$ D7 c/ m% W. _) v
set credibility-all n-values people [creat-credibility]" {7 y( X4 K0 G4 N5 A) w! |
set credibility n-values people [-1]
& ?$ e% B- _3 X; n% Z0 V3 ?6 l# ]get-color, r+ q8 Q% h. U+ J" _7 q5 I+ c

, G. J+ O& ?% m! {' k" O0 cend9 H$ |( i7 e/ s5 t& H0 i8 ?0 x3 q
# [# m) w% Z( C' u/ z! `
to-report creat-credibility
* Q+ T5 S$ }) l  A# H. Oreport n-values people [0.5]
' o# M7 k/ C8 iend2 ~  @& Q4 p* |% ^# B: G3 w% {

9 W1 w7 c, ~% z) A$ ?to setup-plots
1 u3 H( J$ t) M- U
- N- t3 B% d3 B( S. g3 qset xmax 30
$ [/ z1 A& B. v9 F6 W8 n

, j7 f$ w- l4 C7 i: _0 o, jset ymax 1.0

4 b, b+ N! f6 F/ ]- z5 r+ k
& W6 [4 P1 j" G8 J/ `7 P) {1 pclear-all-plots
' l, k! L5 {) U4 |# }0 t
% W3 D; S. U, t7 K5 [
setup-plot1

3 Q- _* ?2 u  Z# L4 n4 c& z2 v9 f+ t: s. W/ G: i
setup-plot2

' m4 p+ j! {( X' ]; m6 V( w
, T0 g- {5 u0 s7 ]' u5 isetup-plot3

! Z) w$ {' u: C6 a  R4 a5 Gend4 _" z! J: E, X6 Q

& i3 i: f$ s* G0 r( j7 q;;run time procedures$ ]7 @) g9 z# m  l6 R9 t  T

. ?: |* E& _4 o$ t# sto go8 @* b6 H8 w! S& }. h

* t( c+ o1 f7 d% Qask turtles [do-business]

9 J$ Y2 B5 K7 p7 k/ U: z2 W6 p. n% gend
' _0 n- \$ f) a4 D( h+ c* Z# F# f+ G: T; i7 I! B5 G1 D
to do-business   ]# [: A* W  w( ]$ w

# I; g0 Q7 M0 M2 W/ L7 I
0 ]/ U( {! D8 D: T2 r0 l' V5 q- art random 360

4 y/ L* |- m) y7 u1 C2 C$ F0 p& I* b5 \3 G
fd 1
" O' z& C' {$ T

- T7 v5 Y. K( z9 w2 I% sifelse(other turtles-here != nobody)[

2 C+ o( t, O) f' l" H2 ?, j3 _, n* \2 c  W
set customer one-of other turtles-here

1 a# p$ O+ Q+ n) O' D  R
9 f5 J+ X6 P4 e* r+ m0 L;; set [customer] of customer myself
2 g* ]& k2 O$ b" y# B7 }+ a' K

0 v+ ]+ Y  m0 X; i3 y3 c" {set [trade-record-one] of self item (([who] of customer) - 1)
+ c. H! }. H' b$ ]$ J" A4 _1 {[trade-record-all]of self
6 N1 X) g; f- F- c, l;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
$ g! X, {9 d6 n! V+ U

9 q; i8 z( |7 X' p5 f; l8 mset [trade-record-one] of customer item (([who] of self) - 1)' a# w! Z! c. O% o+ m7 h
[trade-record-all]of customer
* m" Z9 Y$ i1 c% `5 s, o  F" e0 U
7 Y0 m9 @. ]  r+ C  e1 v2 O6 e
set [trade-record-one-len] of self length [trade-record-one] of self
7 T6 v7 f9 i  A/ z3 ?
1 G) ^3 d7 ?1 H( k9 n
set trade-record-current( list (timer) (random money-upper-limit))
0 W( s; N# C8 n2 b. P7 e

. @: B* F# }4 O8 \' s& h, Task self [do-trust]* K" M$ C* L! \: Q& }( `6 s
;;
先求ij的信任度
* g6 z6 j4 A$ Z$ i- w! |$ F
1 S: b, H$ d" S7 oif ([trust-ok] of self)
/ r9 a4 `# k; t& Q- v; S4 b' p;;
根据ij的信任度来决定是否与j进行交易[
9 f5 T) A. p9 M: u# T8 e) ]ask customer [do-trust] if ([trust-ok] of customer);;
这里可能会用到myself
: H2 d5 _. r) ^0 e
! l" F0 k2 _% a6 ?2 W[
5 u1 V4 O+ A4 g" e
1 _$ m0 S2 _' Q( }) T* W# u
do-trade
# ~2 a. k5 J& b0 f1 A

3 e1 X" e( B" Fupdate-credibility-ijl

- c& w" j# [2 q6 ]& j, T) Y8 c. H# C6 ^
update-credibility-list
% C1 L/ n" F$ {7 e: Y, }0 M
5 G7 M1 i- Q) p& o" l- ~" C
: h% s# T" b. I; t4 K% r' l
update-global-reputation-list
. Q- Y( l1 T4 f2 Q
+ ^, O$ E/ Z% N3 S! r3 U$ \7 R
poll-class
8 P- H' v% I4 u/ Y

: I5 u/ ^: k1 Tget-color
3 U& c5 }  @: n$ ~

" n5 ~, l, ^; e6 N2 U]]7 Y: c+ }3 k( K7 Y3 k! O
  T6 s( h9 ^8 t) j/ N7 ?2 m
;;
如果所得的信任度满足条件,则进行交易4 S) U: t; I" x: M9 Y2 N0 Q& ]
% ^* T4 _4 g/ C; W/ ]
[

3 l5 m2 a) P) m! R
9 U. s9 C0 [5 prt random 360
$ j3 q& w  |! b

% T: e, r8 b- C% F0 Rfd 1
% E2 ~6 }1 z7 d( P' ]8 F

  L. s* s9 Z( E/ A: Q1 C6 g* Q) Z# g]

6 A$ m1 d7 p* g6 b, d! `- F& X+ E  S; ]$ a% }* m* a. |
end

0 }1 `$ ?0 @! I- p3 S9 m3 x5 o# H3 C6 ^/ E, v2 ^9 ?0 s  b; J
to do-trust
3 @5 [  }; P1 n/ R, A: Qset trust-ok False
6 l$ w+ I( J+ v2 b( F) o" x$ i% _3 _( X1 {$ h4 m" c
" G, Q# {/ L* e9 l: U1 P
let max-trade-times 0
1 I7 T# g( C- F5 mforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]) H% l  U( V' ^5 g' F' G6 }
let max-trade-money 0( J) _# D9 f3 {
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
- h, S$ e% v% x$ Z3 Rlet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))6 `8 T  x# d3 Q+ x+ I( W- @, k

6 g5 P& }( b0 i. D3 g2 x( |! z: s( D

9 |0 D/ |6 F" @4 I) i" }. k- R. Gget-global-proportion0 v9 R8 N- ^2 U5 n$ q
let trust-value
4 Y9 I8 g" Z8 Nlocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)

% |# Y! {" e6 y8 o0 {if(trust-value > trade-trust-value)
0 f1 t) K" o2 z* A[set trust-ok true]$ u2 G& ^: C. c
end
7 c/ o2 `: M: R' y, u- P3 Z
4 l4 @5 X* t8 W3 Q& u& N4 Kto get-global-proportion9 G' s4 g) X7 ?: V' J3 D1 H
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
: i3 |/ i# D5 v( G% D3 x[set global-proportion 0]' o4 R0 N6 x; ]; a3 `: M) x
[let i 0" D2 U2 x4 w4 N. w- \, a4 y
let sum-money 0" T. Z) s& }% E: T, u' g9 z
while[ i < people]
( @8 E5 a1 c9 m) y: n6 ^: B[
( c% K2 r) f' I' V$ f5 fif( length (item i* k2 R6 z8 N2 G) O7 M7 H
[trade-record-all] of customer) > 3 )

" I, A8 \* B% |1 t! U3 M" {[
" m' p0 C1 x% B+ G% ]set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
! Z! r8 O# B9 ]! ?" v/ j]
$ c2 i- q" @* h7 s# Y( v+ S5 `]
3 B' R+ b: Y/ M( Jlet j 0! |4 D2 Y% K; o' v
let note 0
  j  n3 c* E$ Z3 P6 m6 ]9 Wwhile[ j < people]
3 D, `; G0 ~  d1 g[
5 p3 e0 N# @, I& l; M+ lif( length (item i  o! L% B1 \0 f0 K+ l, M
[trade-record-all] of customer) > 3 )

# d# h* Q2 N: a[
0 i# n* S& d! z' [* N  {ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)9 G  ~/ I. M) r. H2 s& q) i8 Q
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
7 w5 u6 J) _7 O: l% |$ `; }[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
' J7 n2 ?% D. a3 l]* h1 F. A& j. Z
]3 i! R( j" B% B4 X' a: {- i+ a' u5 k; X
set global-proportion note, f" U) H# ]/ v& _
]' E4 E0 q8 j6 f* j0 Z) g0 G  n3 f+ F
end  g7 c8 e( Q$ A
! T; B+ }- N* L/ |1 x& S8 ?7 E  p
to do-trade0 a( x* _. K0 H6 O0 s
;;
这个过程实际上是给双方作出评价的过程) b% Y4 F  h- w- G
set trade-record-current lput( random-float 1) trade-record-current ;;turtle 得到的评价. J, n& o& y  t7 ~& S
set trade-record-current lput( random-float 1) trade-record-current ;;turtle 给出的评价
$ u4 h' l  P7 N. e2 lset trade-record-current lput(timer) trade-record-current3 g, S4 a# L+ r5 y
;;
评价时间
0 `5 d0 o5 m1 ?ask myself [) i( k  s& l  b
update-local-reputation
4 b6 ~+ c. t5 X8 j. I6 V2 Nset trade-record-current lput([local-reputation] of myself) trade-record-current
$ {+ |& X+ ?1 l& V, j4 s]& C+ _# g- ~$ T* {5 f" d
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself! a$ v- w7 c( n0 O0 H+ I$ x
;;
将此次交易的记录加入到trade-record-one2 Q! K8 L2 p0 J1 u! f+ w
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
1 W7 k1 S: {8 }5 M8 Dlet note (item 2 trade-record-current )0 |, P1 l9 Z* z. W1 o+ A' J0 k
set trade-record-current
( x! Q: a8 [2 q( f/ W9 l(replace-item 2 trade-record-current (item 3 trade-record-current))

9 w2 j) n3 f. C7 T5 v) xset trade-record-current
( f9 _8 E$ j! X( {(replace-item 3 trade-record-current note)7 A, T# o6 G4 d' c: Y5 z9 z
8 P9 c# w: F0 A2 B# H8 e
  t4 q9 ]3 }% C6 O
ask customer [
0 Y( C: h0 i5 Z8 p% Cupdate-local-reputation
- F# C) d5 H7 \# O$ h& Q& _set trade-record-current
4 E1 M  D7 o4 V% W. G' ?(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))

8 g. x) M2 p: m], q6 j- _0 d/ D. F8 H2 `+ Z
( b( P9 w7 @1 x7 s! J5 \! H" Y

$ C$ a& s7 u: P) `) q8 L6 aset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer- Q; z* q8 f; F
4 T' P) g/ x# ~) k' Y" v" Q
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
" _, U; n* `" U5 I9 f" q  R;;
将此次交易的记录加入到customertrade-record-all) c; d0 c4 o: D# _) i  v
end
& V2 ?; D3 a5 s
; x0 M8 ]; F% V( tto update-local-reputation7 K% c# l; n# {2 [
set [trade-record-one-len] of myself length [trade-record-one] of myself9 n# Z: i0 ?6 u
: |0 W. v' `3 B) u
; M0 c  g; E+ A- ]% [
;;if [trade-record-one-len] of myself > 3

2 E. E* m$ K# l! ]+ O& Pupdate-neighbor-total
# j( Z5 f) i, R% k0 R/ @;;
更新邻居节点的数目,在此进行$ p, I& n6 E9 w9 O+ W: Y
let i 35 ^, |0 \. A: A# L
let sum-time 0
: D1 [+ W. W8 N% D- |while[i < [trade-record-one-len] of myself]% {* G- W3 ?8 ~* q2 O
[
! D& }3 K- V% ?* I( Aset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
; F5 l6 L& ]6 d  yset i2 M- J" X- k1 w& [, b
( i + 1)
% G* V+ b1 P; }' i$ ~5 U* A* }* b
]% V  ], ?, I( W% O1 |# f$ k
let j 33 N% l4 H. q5 K* J0 D( F8 @
let sum-money 0' {- m- b2 _; V7 B* O
while[j < [trade-record-one-len] of myself]: g% U3 B- N" I. c" u
[2 |# o) j4 B- E9 ?
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)
4 f' J* K6 x; D$ i: Lset j, U' I* f0 `* \6 l- _, D
( j + 1)

1 }# I" L6 j( ?" x0 L; O( y7 O! r8 v], w7 A3 o2 d% \# f, L9 I. N
let k 3% l! l; [# u& b3 l  t, z& n9 e
let power 0
9 @, e$ z0 L9 y% h% klet local 0% C9 |2 e4 V" b' V& `- O
while [k <[trade-record-one-len] of myself]
- r; B4 s- b+ g[
* |  u- L; W( T/ z8 pset 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)
. k& h, t1 p+ F* K6 a9 L# cset k (k + 1)
' W9 w, V5 I" h  [( D" W]
4 g; h$ f' D. P- t0 B6 P6 q& wset [local-reputation] of myself (local)  t8 i; a! I$ v" l- s" M" g, Q1 ]
end
9 U5 T8 G# P: G0 S' y0 m. s8 |0 B3 |  R( q  Q
to update-neighbor-total
! t2 Y; x- V. L3 W: L
5 [1 W' U0 b+ l0 C3 U0 Cif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
" m2 H+ @  U8 [6 W( B2 m
  J% I: M1 b+ l& Z, l- Q! U
# i! ]" [6 Q+ h7 U
end6 v4 U( U4 x( N0 E3 S& {

5 \! s) z; `# V$ G* K$ |to update-credibility-ijl 9 V. o) N7 t* p2 J4 W  D

2 q  p2 d, D4 b) @/ W0 a;;
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 K, v, C3 y! B3 K, A
let l 0
" I$ z& i8 e8 B/ h5 l1 `! ]" rwhile[ l < people ]
0 f$ z$ R4 j1 G& U" n1 B; s; [;;
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: d: y/ V0 a; T
[- ]. n, M( Y$ M! Q3 I1 Y
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)2 l: _& D7 K# m9 }) X% v! b
if (trade-record-one-j-l-len > 3)5 N! ~$ {4 o4 w% |: @
[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
- @7 }2 A; l% z) O( |let i 3
- m* z* _* A% o" v+ D) V* X; Alet sum-time 0* x" F: F5 q% x' b3 S
while[i < trade-record-one-len]  l% T( ~' P+ X0 t+ t
[( c$ U  c7 f' R' x7 y; e( w
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
2 r8 d) Z; s- e2 Pset i
4 v3 \9 _% _" J& T# H3 h- |. l. m( i + 1)
% }7 X/ S% J0 d5 E5 q5 ]
]' v; F0 p2 }7 W" T1 B2 V
let credibility-i-j-l 07 P! G; G5 r& T+ |2 X( y
;;i
评价(jjl的评价)
+ |. c* G( W5 Z2 Qlet j 3
4 I3 @0 M; T6 n6 ~+ Xlet k 4
2 G9 P' U3 F2 I$ `while[j < trade-record-one-len]
2 t4 {8 Q; E4 f( E4 j7 x[3 T4 p4 l- B- R; |
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 [& b3 e6 V" W9 X" C, N) ]
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)
6 B5 N+ z. Z2 g1 a5 rset j
& L+ D  l$ l4 }4 ?4 R( j + 1)

2 M1 [+ j0 w# H) b8 T% P! G# M]
1 u* Z. O. T3 d( zset [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 ))
5 t/ \+ V7 c% M
0 {8 J0 ~. b3 ~( P( p9 X* d, B
) Q5 h, Q) \. M6 {# b' A* S, U
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))3 g: x! d) h2 h0 ?  _
;;
及时更新il的评价质量的评价
$ ]- n+ v5 s" Mset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]2 U, |" S' u3 L  d+ c
set l (l + 1)
: @5 `" f/ b6 d1 s+ D]$ V2 M5 l- j: _  i* V4 A: S/ U, _
end
. P" [4 H) L% E  T! B& L' ?
. _' M6 L! q0 A6 S% y, o% |to update-credibility-list
8 l# f" p  L5 _let i 01 W( @; O+ g& I& K7 E& s
while[i < people]
1 Q; m4 A# U' t  `: _. V; E7 ?[- \, ?' p& w3 t2 _& }$ R$ z
let j 0. @' i& o& z$ T1 Y" d
let note 04 F7 G2 o4 f9 Y) B( x
let k 0
% ~, [+ F1 N1 I0 g, T2 t: f) U;;
计作出过评价的邻居节点的数目& _+ f& c6 T( T! T" V' r3 [" b( X
while[j < people]1 Z. P6 ~3 O' O7 [6 w
[
0 d0 y  k# H. R9 _: o# N4 R3 l% Rif (item j( [credibility] of turtle (i + 1)) != -1)2 H  j5 K$ _: s& r' t8 Y
;;
判断是否给本turtle的评价质量做出过评价的节点
) y* [$ S; N+ Z/ o% G1 x[set note (note + item j ([credibility]of turtle (i + 1)))
, f3 ?  e3 {# p4 m* N. k, y;;*(exp (-(people - 2)))/(people - 2))]

8 p! B$ p. \0 V& n6 n8 P8 gset k (k + 1)( j9 g4 W5 Q* k4 T: s
]6 i: M+ A' `; F' b5 S$ A+ m5 J
set j (j + 1); z2 C$ P+ z' \
]. X6 ~; e8 m. M. U7 j
set note (note *(exp (- (1 / k)))/ k)
  {/ J! {; P4 j! a2 T8 dset credibility-list (replace-item i credibility-list note)
3 m& u+ {/ e$ z# y( }$ u( q5 f1 uset i (i + 1)
7 K0 x" ]7 D) X  W1 T]6 b/ {4 m  U5 \$ D. W. [0 k" K
end# Y) `; N. W4 Y6 ~
" B  ^" \; g6 _3 ^8 w* R
to update-global-reputation-list- K, Y* Y5 @6 P; U) q+ d) T6 V
let j 0
$ v. A6 z4 u: Lwhile[j < people]3 `1 \# R- f! [" W0 n* R" r
[
& v/ d- c' w6 {4 W7 Xlet new 07 v% m! u5 n" k! O1 s  H6 M
;;
暂存新的一个全局声誉- z, b3 _8 d( c7 }8 o& K1 V* O3 C
let i 02 \' g" g% s0 Z6 D
let sum-money 0" q3 b; j+ [1 ^6 a
let credibility-money 0
2 a- F# v% d9 l8 xwhile [i < people]
0 R) X2 b- y# b; H5 Z9 W% A; A[
8 _) n& L7 i2 Y8 G& Vset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
( `8 U6 H( k) v* O& Zset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))3 r$ r; F5 h3 G& v) x
set i (i + 1)) X2 {$ A. K4 j( a
]
5 a! Z! ^: K7 [4 d1 L( dlet k 0" ?  H1 T4 {0 a6 I" [( ^2 L( L
let new1 0- f- E: z" S4 M. D$ w  @* T
while [k < people]. a  G  w& c; ~6 }
[/ z+ `, \4 ~1 L) o
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)
! G+ S2 W' c! Y0 n4 `set k (k + 1)
: J3 w, c% \! M& E6 S5 ^1 e]- M8 N# X  Y- o2 Z/ P
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
9 o3 P: \& ]' |$ s' U, X7 y$ Pset global-reputation-list (replace-item j global-reputation-list new)
/ }) b9 F: H" A9 L; Fset j (j + 1)
2 O8 W! W) T$ y2 t' ~) x# ^- _]& x: e4 f7 Z8 \+ a3 S3 t' O4 f
end
4 V1 \" z. J/ t, B6 Q9 o. E9 ^; n6 U

' V! d% e) m4 C; h; J' A* {9 R7 c
to get-color
! |, K1 E/ E$ P6 G
/ Q8 n% [) _2 A# m( d$ cset color blue

* ]3 l0 h. F1 o% S: S/ G8 v6 T: aend
; u: Y2 t+ L; {2 C2 K3 K0 r; ~4 q- A$ p" ]$ H8 ~4 g4 v* r" x8 W+ _
to poll-class
+ m7 y0 h0 @! p, Send
3 c0 X+ ~  N2 o
! b0 {' m6 B& Zto setup-plot1
0 Y  d+ @! l0 X. j  W
4 j( \4 Z( H; n# ?3 P5 `9 sset-current-plot "Trends-of-Local-reputation"
( m% t" z' `# D$ ^# n! U
1 e2 [$ }% |1 j" ~8 f; C; B% `
set-plot-x-range 0 xmax
6 R' T. x2 z! M* T( F5 o5 A/ y

) S" j9 @, y5 N: O. w, z% uset-plot-y-range 0.0 ymax

* ?( r1 v1 g- v! E: @3 I; xend& t( v- m. N5 K3 D9 }( D4 t  c
* ?1 P! [6 N/ C5 y1 `
to setup-plot2
9 S7 _8 U* r" `6 }# y; P: r! T8 P2 b& [$ T* N! G
set-current-plot "Trends-of-global-reputation"

/ x' l# L, ]& ^; U$ j" F; \* Q3 j; \( O+ q+ Y6 K
set-plot-x-range 0 xmax

# W5 U. G0 p& O9 k# f
# p) d4 a( b  a7 t" n1 F7 _$ qset-plot-y-range 0.0 ymax

3 f- R- i5 u5 O) ?! ^* o7 F. Tend
- X' Z9 L" o% |2 T
% i9 O- }) o$ u$ m; E7 Vto setup-plot3/ I3 b/ [5 p% U* A: ?: j( F
0 K8 C. `3 n) _
set-current-plot "Trends-of-credibility"
$ Q# d; Z7 U' ^- o- d& h5 q3 h4 S$ j
) R$ U: j2 k* c' ~3 p
set-plot-x-range 0 xmax

+ r! i; D8 a8 q" D7 ~7 {
) B  E3 o- q! s9 Pset-plot-y-range 0.0 ymax
) N* ~& n. P$ Y9 j
end' N5 J* m6 h5 |5 T; n

0 u1 Y' c' @/ _8 D: nto do-plots
( X% f2 A# d" ]3 l1 [. Eset-current-plot "Trends-of-Local-reputation"
* ]! D* {, g  j; pset-current-plot-pen "Honest service"
- P# j- F' [) x( k& [# R, H& Oend
1 x6 O  ?' ]' r3 M9 w, J' _5 y3 \5 b3 y  d) N3 o
[ 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.8 G" J- d# m+ \9 I5 W# S

6 d) h# @6 d+ _) a$ u% 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, 2026-2-10 02:28 , Processed in 0.020415 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