Yes and No: Match/Mismatch Function in Cognitive Robots

被引:0
作者
Pentti O. A. Haikonen
机构
[1] University of Illinois at Springfield,Department of Philosophy
来源
Cognitive Computation | 2014年 / 6卷
关键词
Cognitive robots; Cognitive architecture; Associative processing; Perception; Match; Mismatch;
D O I
暂无
中图分类号
学科分类号
摘要
Associative match, mismatch and novelty detection is an essential function in human and artificial cognition and is related to perception, reasoning and emotion. In the human brain, match/mismatch-related and novelty-detection-related signals and states can be detected by EEG and more advanced imaging technologies. Match, mismatch and novelty detection should also be present in artificial cognitive architectures that seek to provide a framework for artificial cognition, especially for autonomous robots. Here, the functions of match, mismatch and novelty are discussed, their implementation in one artificial cognitive architecture (HCA) is described and their application in the robot XCR-1 is given as a practical example.
引用
收藏
页码:158 / 163
页数:5
相关论文
共 50 条
  • [41] Evidence for area CA1 as a match/mismatch detector: A high-resolution fMRI study of the human hippocampus
    Duncan, Katherine
    Ketz, Nicholas
    Inati, Souheil J.
    Davachi, Lila
    HIPPOCAMPUS, 2012, 22 (03) : 389 - 398
  • [42] The distribution of rewards in sensorimotor maps acquired by cognitive robots through exploration
    Mohan, Vishwanathan
    Morasso, Pietro
    Metta, Giorgio
    Kasderidis, Stathis
    NEUROCOMPUTING, 2011, 74 (17) : 3440 - 3455
  • [43] Formal Description of a Supervised Learning Algorithm for Concept Elicitation by Cognitive Robots
    Wang, Yingxu
    Zatarain, Omar A.
    Valipour, Mehrdad
    2016 IEEE 15TH INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS & COGNITIVE COMPUTING (ICCI*CC), 2016, : 5 - 14
  • [44] Experiments on the Supervised Learning Algorithm for Formal Concept Elicitation by Cognitive Robots
    Zatarain, Omar A.
    Wang, Yingxu
    2016 IEEE 15TH INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS & COGNITIVE COMPUTING (ICCI*CC), 2016, : 86 - 96
  • [45] A Probabilistic Appearance Representation and Its Application to Surprise Detection in Cognitive Robots
    Maier, Werner
    Steinbach, Eckehard
    IEEE TRANSACTIONS ON AUTONOMOUS MENTAL DEVELOPMENT, 2010, 2 (04) : 267 - 281
  • [46] Producing Parameterized Value Functions Through Modulation for Cognitive Developmental Robots
    Romero, Alejandro
    Bellas, Francisco
    Becerra, Jose A.
    Duro, Richard J.
    FOURTH IBERIAN ROBOTICS CONFERENCE: ADVANCES IN ROBOTICS, ROBOT 2019, VOL 2, 2020, 1093 : 250 - 262
  • [47] Jump Function Kolmogorov for Audio Classification in Noise-Mismatch Conditions
    Tran, Huy Dat
    Li, Haizhou
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2009, 57 (08) : 2908 - 2918
  • [48] New automation solution for brownfield production - Cognitive robots for the emulation of operator capabilities
    Abicht, J.
    Hellmich, A.
    Wiese, T.
    Harst, S.
    Ihlenfeldt, S.
    CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY, 2024, 50 : 104 - 112
  • [49] On Cognitive Assistant Robots for Reducing Variability in Industrial Human-Robot Activities
    Chacon, Alejandro
    Ponsa, Pere
    Angulo, Cecilio
    APPLIED SCIENCES-BASEL, 2020, 10 (15):
  • [50] Neural Population Dynamics and Cognitive Function
    Nadeau, Stephen E.
    FRONTIERS IN HUMAN NEUROSCIENCE, 2020, 14