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Cognitive Systems Research, Volume 68

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Volume 68, August 2021

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  - journals/cogsr/ThomaschewskiWK21
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Lisa Thomaschewski, Benjamin Weyers, Annette Kluge:
A two-part evaluation approach for measuring the usability and user experience of an Augmented Reality-based assistance system to support the temporal coordination of spatially dispersed teams. 1-17
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  - journals/cogsr/ChernavskayaR21
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Olga Chernavskaya, Yaroslav Rozhylo:
On modeling the creativity and the concept of Chef-D'oeuvre. 18-33
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  - journals/cogsr/Treur21a
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Jan Treur:
Modeling the emergence of informational content by adaptive networks for temporal factorisation and criterial causation. 34-52
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  - journals/cogsr/ChenZCL21
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Guanyu Chen, Yanyun Zhang, Zhihua Cai, Xiang Li:
The building recognition and analysis of remote sensing image based on depth belief network. 53-61
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  - journals/cogsr/LiXGW21
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Long Li, Xuetao Xie, Tao Gao, Jian Wang:
A modified conjugate gradient-based Elman neural network. 62-72
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  - journals/cogsr/FijenGT21
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Lucas Johannes José Fijen, Julio Joaquín López González, Jan Treur:
An adaptive temporal-causal network model to analyse extinction of communication over time. 73-83
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  - journals/cogsr/TaatgenVDKHB21
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Niels A. Taatgen, Marieke K. van Vugt, Jeroen Daamen, Ioanna Katidioti, Stefan Huijser, Jelmer P. Borst:
The resource-availability model of distraction and mind-wandering. 84-104
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  - journals/cogsr/ShakibMRRLA21
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M. N. Shakib, Mahmoud Moghavvemi, M. A. Rahman, R. M. Ramli, Heng Siong Lim, M. R. Ahmed:
Measurement of a compact Boomarang-shaped microstrip antenna for wireless sensor network applications. 105-110
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  - journals/cogsr/HanPP21
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The Anh Han, Cedric Perret, Simon T. Powers:
When to (or not to) trust intelligent machines: Insights from an evolutionary game theory analysis of trust in repeated games. 111-124
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Jan Treur, Gerrit Glas:
A multi-level cognitive architecture for self-referencing, self-awareness and self-interpretation. 125-142
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  - journals/cogsr/GuckertGHKU21
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Michael Guckert, Nils Gumpfer, Jennifer Hannig, Till Keller, Neil Urquhart:
A conceptual framework for establishing trust in real world intelligent systems. 143-155
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