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ORCIDCognitive Systems Research, Volume 66
Volume 66, March 2021
- Gustavo Palacios, Carlos Johnnatan Sandoval, Félix Ramos:
A proposal for an auditory sensation cognitive architecture and its integration with the motor-system cognitive function. 1-12 - Leendert A. Remmelzwaal, Amit Kumar Mishra
, George F. R. Ellis:
Brain-inspired distributed cognitive architecture. 13-20 - Viacheslav Wolfengagen, Larisa Y. Ismailova, Sergey Kosikov, Denis Babushkin:
Modeling spread, interlace and interchange of information processes with variable domains. 21-29 - Luis Martin, Karina Jaime, Félix Ramos, Francisco Robles:
Declarative working memory: A bio-inspired cognitive architecture proposal. 30-45 - Diana G. Gómez-Martínez, Marco A. Ramos, Juan Luis del Valle-Padilla, Jonathan-Hernando Rosales, Francisco Robles, Félix Ramos:
A bioinspired model of short-term satiety of hunger influenced by food properties in virtual creatures. 46-66 - Howard Schneider:
Causal cognitive architecture 1: Integration of connectionist elements into a navigation-based framework. 67-81 - Zalimhan Nagoev, Inna Pshenokova, Olga Nagoeva, Zaurbek Sundukov:
Learning algorithm for an intelligent decision making system based on multi-agent neurocognitive architectures. 82-88 - Jagna Nieuwazny, Karol Nowakowski, Michal Ptaszynski, Fumito Masui, Rafal Rzepka, Kenji Araki:
Does change in ethical education influence core moral values? Towards history- and culture-aware morality model with application in automatic moral reasoning. 89-99 - Suvarna Kishorkumar Kadam, Vinay G. Vaidya:
Cognitive Evaluation of Machine Learning Agents. 100-121 - Raymundo Ramirez-Pedraza, Félix Ramos:
Decision-making bioinspired model for target definition and "satisfactor" selection for physiological needs. 122-133 - Zandor Machaen, Luis Martin, Jonathan-Hernando Rosales:
Bio-inspired cognitive model of motor learning by imitation. 134-149 - Ivan Axel Dounce, Félix Ramos:
An expanded model for perceptual visual single object recognition system using expectation priming following neuroscientific evidence. 150-161 - Hedda R. Schmidtke:
Multi-modal actuation with the activation bit vector machine. 162-175 - Sean Kugele, Stan Franklin:
Learning in LIDA. 176-200 - Lin Wang, Xinhua Bi:
Risk assessment of knowledge fusion in an innovation ecosystem based on a GA-BP neural network. 201-210 - Mandy Choy, Suleika El Fassi, Jan Treur:
An adaptive network model for pain and pleasure through spicy food and its desensitization. 211-220 - Amin Muhammad Sadiq, Huynsik Ahn:
Earthquake disaster avoidance learning system using deep learning. 221-235
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