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Published in 2020 at "Advances in Space Research"
DOI: 10.1016/j.asr.2020.10.048
Abstract: Abstract Memory is considered one of the most important functions since it allows us to code, store and retrieve knowledge. These qualities make it an indispensable function for a virtual creature. In general, memory can…
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Keywords:
term memory;
information;
cognitive architecture;
working memory ... See more keywords
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Published in 2020 at "Cognitive Systems Research"
DOI: 10.1016/j.cogsys.2019.12.002
Abstract: Abstract Artificial Intelligence of the next generation needs to interact with users socially, convincing them in its ability to understand human minds, including emotions. For this to happen, an artificial emotional intelligence is needed, capable…
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Keywords:
intelligence;
cognitive architecture;
framework;
artificial intelligence ... See more keywords
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Published in 2020 at "Robotica"
DOI: 10.1017/s0263574720000521
Abstract: SUMMARY Efficient algorithm integration is a key issue in aerial robotics. However, only a few integration solutions rely on a cognitive approach. Cognitive approaches break down complex problems into independent units that may deal with…
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Keywords:
robotics;
decision making;
architecture;
cognitive architecture ... See more keywords
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Published in 2017 at "Psychological Methods"
DOI: 10.1037/met0000117
Abstract: The question of cognitive architecture—how cognitive processes are temporally organized—has arisen in many areas of psychology. This question has proved difficult to answer, with many proposed solutions turning out to be spurious. Systems factorial technology…
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Keywords:
analyses cognitive;
bayesian analyses;
architecture;
cognitive architecture ... See more keywords
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Published in 2017 at "Philosophical Psychology"
DOI: 10.1080/09515089.2018.1497788
Abstract: ABSTRACT Relevance Theory (RT) argues that human language comprehension processes tend to maximize “relevance,” and postulates that there is a relevance-based procedure that a hearer follows when trying to understand an utterance. Despite being highly…
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Keywords:
relevance;
cognitive architecture;
theory;
relevance theory ... See more keywords
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Published in 2020 at "Philosophical Psychology"
DOI: 10.1080/09515089.2020.1719054
Abstract: ABSTRACT This article focuses on the relationship between cultural and cognitive-psychological processes, and discusses the potential impact of the cognitive sciences (broadly defined) on understanding culture, as well as on the social sciences in general.…
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Keywords:
cognitive architecture;
culture standpoint;
standpoint cognitive;
exploring culture ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2018.2890330
Abstract: Developing cognition is difficult to achieve yet crucial for robots. Infants can gradually improve their cognition through parental guidance and self-exploration. However, conventional learning methods for robots often focus on a single modality and train…
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Keywords:
architecture based;
architecture;
cognitive architecture;
autonomous developmental ... See more keywords
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Published in 2019 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2018.2860945
Abstract: This paper investigates an approach that uses the cognitive architecture Soar to improve the performance of an automated robotic system, which uses a combination of vision and force sensing to remove screws from laptop cases.…
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Keywords:
system;
laptop models;
memory;
remove screws ... See more keywords
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Published in 2022 at "Topics in cognitive science"
DOI: 10.1111/tops.12623
Abstract: Cognitive architectures (i.e., theorized blueprints on the structure of the mind) can be used to make predictions about the effect of multiregion brain activity on the systems level. Recent work has connected one high-level cognitive…
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Keywords:
model cognition;
cognitive architecture;
cognition;
common model ... See more keywords
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Published in 2021 at "Frontiers in Neurorobotics"
DOI: 10.3389/fnbot.2021.626380
Abstract: Endowing robots with the ability to view the world the way humans do, to understand natural language and to learn novel semantic meanings when they are deployed in the physical world, is a compelling problem.…
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Keywords:
methodology;
cognitive architecture;
natural language;
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Published in 2017 at "Frontiers in Psychology"
DOI: 10.3389/fpsyg.2017.00427
Abstract: In this paper, we show that a neurally implemented a cognitive architecture with evolutionary dynamics can solve the four-tree problem. Our model, called Darwinian Neurodynamics, assumes that the unconscious mechanism of problem solving during insight…
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Keywords:
cognitive architecture;
architecture evolutionary;
model;
evolutionary dynamics ... See more keywords