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".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Nous discutons des processus humains de découverte collaborative en utilisant un modèle de système de production comme simulateur cognitif. Nous avons développé une architecture de système de production interactive pour construire le simulateur. Deux systèmes de production trouvent interactivement des cibles dans lesquelles les seuls résultats expérimentaux sont partagés ; chacun ne connaît pas l’hypothèse de l’autre système. Grâce à ce type d’interaction, nous vérifions si les performances de deux systèmes trouvant des cibles de manière interactive dépassent celles de deux systèmes trouvant des cibles indépendamment. Si l’on confirme la supériorité de la découverte collaborative, on approuve l’émergence par l’interaction. Les résultats sont les suivants : (1) d’une manière générale, la collaboration ne produit pas l’émergence définie ci-dessus, et (2) à mesure que le degré différent de stratégies de test d’hypothèses utilisées par les deux systèmes augmente, les avantages de l’interaction augmentent progressivement.
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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
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@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},}
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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 -