ACT-RΦ: A cognitive architecture with physiology and affect

被引:20
|
作者
Dancy, Christopher L. [1 ]
机构
[1] Penn State Univ, Coll Informat Sci & Technol, University Pk, PA 16802 USA
关键词
Cognitive architecture; ACT-R; Physiology; HumMod; Affect; Cognitive model;
D O I
10.1016/j.bica.2013.07.008
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Current computational cognitive architectures lack a comprehensive representation of human physiology. Connecting a more realistic model of physiology to a cognitive architecture allows one to develop more realistic computational process models that include an account for the effect of physiology on cognition. It is also useful to include some theory of affect and emotion to act as a functional layer between some representations of physiology and cognition. We chose to extend the ACT-R (adaptive control of thought - rational) cognitive architecture with physiology and affect to make the ACT-R Phi hybrid architecture. We connected the Hum Mod physiological simulation system with the ACT-R architecture; ACT-R Phi has a module that communicates between ACT-R and Hum Mod. A new affect system was also developed using an existing theoretical framework to serve as a functional layer between some of the physiological and cognitive representations. With this new architecture one can model a wide range of human behavior (e.g., the effects of homeostasis on cognition) in a more tractable fashion. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:40 / 45
页数:6
相关论文
共 50 条
  • [1] ACT-R: A cognitive architecture for modeling cognition
    Ritter, Frank E.
    Tehranchi, Farnaz
    Oury, Jacob D.
    WILEY INTERDISCIPLINARY REVIEWS-COGNITIVE SCIENCE, 2019, 10 (03)
  • [2] A Formal Semantics for the Cognitive Architecture ACT-R
    Gall, Daniel
    Fruehwirth, Thom
    LOGIC-BASED PROGRAM SYNTHESIS AND TRANSFORMATION (LOPSTR 2014), 2015, 8981 : 74 - 91
  • [3] Analysis of enumeration strategy use in the ACT-R cognitive architecture
    Kim, Bia
    Lee, Jaesik
    ICNC 2007: THIRD INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 5, PROCEEDINGS, 2007, : 526 - +
  • [4] Quantitative prediction of mental workload with the ACT-R cognitive architecture
    Jo, Seongsik
    Myung, Rohae
    Yoon, Daesub
    INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS, 2012, 42 (04) : 359 - 370
  • [5] On the role of goals in the ACT-R architecture
    Wallach, D
    Marchant, K
    INTERNATIONAL JOURNAL OF PSYCHOLOGY, 2000, 35 (3-4) : 205 - 205
  • [6] ACT-R/PM and menu selection: applying a cognitive architecture to HCl
    Byrne, MD
    INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, 2001, 55 (01) : 41 - 84
  • [7] Cognitive Modeling of Task Switching in Discretionary Multitasking Based on the ACT-R Cognitive Architecture
    Oh, Hyungseok
    Yun, Yongdeok
    Myung, Rohae
    APPLIED SCIENCES-BASEL, 2021, 11 (09):
  • [8] Introduction to cognitive modelling with ACT-R
    Russwinkel, Nele
    Prezenski, Sabine
    Joeres, Fabian
    Lindner, Stefan
    Halbruegge, Marc
    Joeres, Fabian
    Wirzberger, Maria
    COGNITIVE PROCESSING, 2014, 15 (01) : S25 - S25
  • [9] Allocating Mental Effort in Cognitive Tasks: A Model of Motivation in the ACT-R Cognitive Architecture
    Yang, Yuxue C.
    Stocco, Andrea
    TOPICS IN COGNITIVE SCIENCE, 2024, 16 (01) : 74 - 91
  • [10] Cognitive Modeling of Behavioral Experiments in Network Science Using ACT-R Architecture
    Romero, Oscar J.
    Lebiere, Christian
    MULTI-AGENT-BASED SIMULATION XV, 2015, 9002 : 239 - 251