RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      검색결과 좁혀 보기

      선택해제

      오늘 본 자료

      • 오늘 본 자료가 없습니다.
      더보기
      • 무료
      • 기관 내 무료
      • 유료
      • SCOPUSKCI등재

        Indispensability of Computational Modeling in Cognitive Science

        ( Igor Farkas ) 서울대학교 인지과학연구소 2012 Journal of Cognitive Science Vol.13 No.4

        The concept of computation remains a frequently discussed topic in cognitive science, but there is no consensus about its meaning and the role in this field. I discuss this concept in wider sense, also including nonclassical computation, in the light of Marr`s three levels of analysis and their relevance for main modeling frameworks pursued in cognitive science-symbolic, connectionist, dynamic and probabilistic. I point to differences between these approaches and argue, providing empirical and theoretical arguments, that connectionism, out of the existing approaches, holds the promise of providing the most plausible and detailed accounts of human cognition. Connectionism also benefits from the emerging field of cognitive developmental robotics that aims at designing autonomous cognitive robots using the synthetic bottom-up approach. I conclude with emphasizing the key role of computational modeling that will help advance the field of computational cognitive science as an indispensable core component.

      연관 검색어 추천

      이 검색어로 많이 본 자료

      활용도 높은 자료

      해외이동버튼