Parallel information processing models compatible with lognormally distributed response times

被引:5
|
作者
VanBreukelen, GJP
机构
关键词
D O I
10.1006/jmps.1995.1037
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Ulrich and Miller (1993) discussed some information processing models that may generate a lognormal response time (RT) distribution, among others a serial processing model. The present note shows that two well-known parallel models are also compatible with lognormal Rf distributions. (C) 1995 Academic Press, Inc.
引用
收藏
页码:396 / 399
页数:4
相关论文
共 50 条
  • [1] INFORMATION-PROCESSING MODELS GENERATING LOGNORMALLY DISTRIBUTED REACTION-TIMES
    ULRICH, R
    MILLER, J
    JOURNAL OF MATHEMATICAL PSYCHOLOGY, 1993, 37 (04) : 513 - 525
  • [2] LOWER CONFIDENCE LIMITS FOR AVAILABILITY ASSUMING LOGNORMALLY DISTRIBUTED REPAIR TIMES
    GRAY, HL
    SCHUCANY, WR
    IEEE TRANSACTIONS ON RELIABILITY, 1969, R 18 (04) : 157 - &
  • [3] Scheduling jobs with normally distributed processing times on parallel machines
    Novak, Antonin
    Sucha, Premysl
    Novotny, Matej
    Stec, Richard
    Hanzalek, Zdenek
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2022, 297 (02) : 422 - 441
  • [4] Parallel machine scheduling models with fuzzy processing times
    Peng, J
    Liu, BD
    INFORMATION SCIENCES, 2004, 166 (1-4) : 49 - 66
  • [5] Maximizing the certain equivalent values of lognormally distributed portfolio models
    Davis, RE
    DECISION SCIENCES INSTITUTE 1998 PROCEEDINGS, VOLS 1-3, 1998, : 219 - 219
  • [6] Orthographic neighbourhood effects in parallel distributed processing models
    Sears, CR
    Hino, Y
    Lupker, SJ
    CANADIAN JOURNAL OF EXPERIMENTAL PSYCHOLOGY-REVUE CANADIENNE DE PSYCHOLOGIE EXPERIMENTALE, 1999, 53 (03): : 220 - 230
  • [7] Input Response of Neural Network Model with Lognormally Distributed Synaptic Weights
    Nagano, Yoshihiro
    Karakida, Ryo
    Watanabe, Norifumi
    Aoyama, Atsushi
    Okada, Masato
    JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, 2016, 85 (07)
  • [8] Centralized, Parallel, and Distributed Information Processing during Collective Sensemaking
    Krafft, Peter
    Zhou, Kaitlyn
    Edwards, Isabelle
    Starbird, Kate
    Spiro, Emma S.
    PROCEEDINGS OF THE 2017 ACM SIGCHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'17), 2017, : 2976 - 2987
  • [9] Parallel processing response times and experimental determination of the stopping rule
    Townsend, JT
    Colonius, H
    JOURNAL OF MATHEMATICAL PSYCHOLOGY, 1997, 41 (04) : 392 - 397
  • [10] RELEVANCE OF NETWORK THEORY TO MODELS OF DISTRIBUTED-PARALLEL PROCESSING
    MURATA, T
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 1980, 310 (01): : 41 - 50