Towards a cognitive robotics

被引:135
|
作者
Clark, A [1 ]
Grush, R [1 ]
机构
[1] Washington Univ, Dept Philosophy, Philosophy Neurosci Psychol Program, St Louis, MO 63130 USA
关键词
representation; forward models; anti-representationalism; reactive systems; motor control; feedback;
D O I
10.1177/105971239900700101
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
There is a definite challenge in the air regarding the pivotal notion of internal representation. This challenge is explicit in, e.g., van Gelder, 1995; Beer, 1995; Thelen & Smith, 1994; Wheeler, 1994; and elsewhere. We think it is a challenge that can be met and that (importantly) can be met by arguing from within a general framework that accepts many of the basic premises of the work tin new robotics and in dynamical systems theory) that motivates such scepticism in the first place. Our strategy will be as follows. We begin (Section 1) by offering an account (an example and something dose to a definition) of what we shall term Minimal Robust Representationalism (MRR). Sections 2 & 3 address some likely worries and questions about this notion. We end (Section 4) by making explicit the conditions under which, on our account, a science (e.g., robotics) may claim to be addressing cognitive phenomena.
引用
收藏
页码:5 / 16
页数:12
相关论文
共 50 条
  • [1] Towards Cognitive Robotics
    Goerick, Christian
    [J]. CREATING BRAIN-LIKE INTELLIGENCE: FROM BASIC PRINCIPLES TO COMPLEX INTELLIGENT SYSTEMS, 2009, 5436 : 192 - +
  • [2] Towards a Vygotskyan cognitive robotics: The role of language as a cognitive tool
    Mirolli, Marco
    Parisi, Domenico
    [J]. NEW IDEAS IN PSYCHOLOGY, 2011, 29 (03) : 298 - 311
  • [3] Towards a Comprehensive Data Fusion Architecture For Cognitive Robotics
    Baklouti, Malek
    AbouSaleh, Jamil
    Khaledgi, Bahador
    Karray, Fakhreddine
    [J]. NEW DIRECTIONS IN INTELLIGENT INTERACTIVE MULTIMEDIA SYSTEMS AND SERVICES - 2, 2009, 226 : 145 - 155
  • [4] To learn or to be taught? Design issues towards cognitive robotics
    Asada, M
    Hosoda, K
    [J]. ROBOTICS RESEARCH, 2000, : 221 - 228
  • [5] First Steps Towards State Representation Learning for Cognitive Robotics
    Meden, Blaz
    Prieto, Abraham
    Peer, Peter
    Bellas, Francisco
    [J]. HYBRID ARTIFICIAL INTELLIGENT SYSTEMS, HAIS 2020, 2020, 12344 : 499 - 510
  • [6] Towards intelligent social robots: Current advances in cognitive robotics
    Aly, Amir
    Griffiths, Sascha
    Stramandinoli, Francesca
    [J]. COGNITIVE SYSTEMS RESEARCH, 2017, 43 : 153 - 156
  • [7] Towards a Fuzzy Logical Algebra (FLA) for Formal Inferences in Cognitive Computing and Cognitive Robotics
    Wang, Yingxu
    [J]. PROCEEDINGS OF 2015 IEEE 14TH INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS & COGNITIVE COMPUTING (ICCI*CC), 2015, : 24 - 32
  • [8] Cognitive Robotics
    Botzheim, Janos
    [J]. ELECTRONICS, 2021, 10 (13)
  • [9] Cognitive robotics
    Bhatt, Mehul
    Erdem, Esra
    Heintz, Fredrik
    Spranger, Michael
    [J]. JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE, 2016, 28 (05) : 779 - 780
  • [10] Cognitive Robotics
    Chown, Eric
    Yeap, Wai K.
    [J]. MULTI-DISCIPLINARY TRENDS IN ARTIFICIAL INTELLIGENCE, MIWAI 2015, 2015, 9426 : 294 - 305