The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
생산 시스템 모델을 인지 시뮬레이터로 사용하여 인간의 협업적 발견 프로세스에 대해 논의합니다. 우리는 시뮬레이터를 구성하기 위해 대화형 생산 시스템 아키텍처를 개발했습니다. 두 생산 시스템은 유일한 실험 결과가 공유되는 대상을 대화식으로 찾습니다. 각각은 다른 시스템이 가지고 있는 가설을 알지 못합니다. 이러한 종류의 상호작용을 통해 우리는 두 시스템이 상호적으로 목표를 찾는 성능이 두 시스템이 독립적으로 목표를 찾는 성능을 초과하는지 여부를 검증합니다. 공동발견의 우월성을 확인한다면 상호작용에 의한 출현을 인정한다. 그 결과는 다음과 같다: (1) 일반적으로 협업은 위에서 정의한 출현을 가져오지 않으며, (2) 두 시스템을 사용하는 가설 검정 전략의 차이가 커짐에 따라 상호 작용의 이점이 점차 증가합니다.
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부
Kazuhisa MIWA, "A Study of Collaborative Discovery Processes Using a Cognitive Simulator" in IEICE TRANSACTIONS on Information,
vol. E83-D, no. 12, pp. 2088-2097, December 2000, doi: .
Abstract: We discuss human collaborative discovery processes using a production system model as a cognitive simulator. We have developed an interactive production system architecture to construct the simulator. Two production systems interactively find targets in which the only experimental results are shared; each does not know the hypothesis the other system has. Through this kind of interaction, we verify whether or not the performance of two systems interactively finding targets exceeds that of two systems independently finding targets. If we confirm the superiority of collaborative discovery, we approve of emergence by the interaction. The results are: (1) generally speaking collaboration does not produces the emergence defined above, and (2) as the different degree of hypothesis testing strategies that the two system use gets larger, the benefits of interaction gradually increases.
URL: https://global.ieice.org/en_transactions/information/10.1587/e83-d_12_2088/_p
부
@ARTICLE{e83-d_12_2088,
author={Kazuhisa MIWA, },
journal={IEICE TRANSACTIONS on Information},
title={A Study of Collaborative Discovery Processes Using a Cognitive Simulator},
year={2000},
volume={E83-D},
number={12},
pages={2088-2097},
abstract={We discuss human collaborative discovery processes using a production system model as a cognitive simulator. We have developed an interactive production system architecture to construct the simulator. Two production systems interactively find targets in which the only experimental results are shared; each does not know the hypothesis the other system has. Through this kind of interaction, we verify whether or not the performance of two systems interactively finding targets exceeds that of two systems independently finding targets. If we confirm the superiority of collaborative discovery, we approve of emergence by the interaction. The results are: (1) generally speaking collaboration does not produces the emergence defined above, and (2) as the different degree of hypothesis testing strategies that the two system use gets larger, the benefits of interaction gradually increases.},
keywords={},
doi={},
ISSN={},
month={December},}
부
TY - JOUR
TI - A Study of Collaborative Discovery Processes Using a Cognitive Simulator
T2 - IEICE TRANSACTIONS on Information
SP - 2088
EP - 2097
AU - Kazuhisa MIWA
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E83-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2000
AB - We discuss human collaborative discovery processes using a production system model as a cognitive simulator. We have developed an interactive production system architecture to construct the simulator. Two production systems interactively find targets in which the only experimental results are shared; each does not know the hypothesis the other system has. Through this kind of interaction, we verify whether or not the performance of two systems interactively finding targets exceeds that of two systems independently finding targets. If we confirm the superiority of collaborative discovery, we approve of emergence by the interaction. The results are: (1) generally speaking collaboration does not produces the emergence defined above, and (2) as the different degree of hypothesis testing strategies that the two system use gets larger, the benefits of interaction gradually increases.
ER -