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Individual differences |
Methods | Statistics | Clinical | Educational | Industrial | Professional items | World psychology |
- Description of subject matter covered:
- From the website:
- Cognitive Science publishes articles in all areas of cognitive science, covering such topics as knowledge representation, inference, memory processes, learning, problem solving, planning, perception, natural language understanding, connectionism, brain theory, motor control, intentional systems, and other areas of interdisciplinary concern. Highest priority is given to research reports that are specifically written for a multidisciplinary audience. The audience is primarily researchers in cognitive science and its associated fields, including anthropologists, education researchers, psychologists, philosophers, linguists, computer scientists, neuroscientists, and roboticists.
- The following kinds of articles are appropriate for the journal: (a) theories or theoretical analyses of knowledge representation, cognitive processes, and brain theory; (b) experimental or ethnographic studies relevant to theoretical issues in cognitive science; (c) descriptions of intelligent programs that exhibit or model some human ability; (d) design proposals for cognitive models; (e) protocol or discourse analysis of human cognitive processing; (f) discussions of new problem areas or methodological issues in cognitive science; and (g) short theoretical notes or rebuttals. The journal will publish four categories of articles.
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- Submission details: 
- Publication frequency: 8 times per year 
- Language: English
- Cost: 
Full texts available onlineEdit
Volume 35 (2011)Edit
Volume 34 (2010)Edit
Volume 33 (2009)Edit
Volume 32 (2008)Edit
- Kam, X.N.C., Stoyneshka, I., Tornyova, L., Fodor, J.D., & Sakas, W.G. (2008). Bigrams and the richness of the stimulus. Cognitive Science, 32, 771-787. Full text
Volume 31 (2007)Edit
Volume 30 (2006)Edit
Volume 29 (2005)Edit
Volume 28 (2004)Edit
Volume 27 (2003)Edit
- Pomplun, M., Reingold, E. M., & Shen, J. (2003). Area activation: A computational model of saccadic selectivity in visual search. Cognitive Science, 27, 299-312. Full text