Toward a richer understanding of human cognition: Unleashing the full potential of the concurrent information-processing paradigm

Millroth, Philip

doi:10.1016/j.newideapsych.2021.100873

Cited by 2 publications

(2 citation statements)

References 49 publications

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“…4 , with each map containing k feature nodes. The SAE output is denoted by , while and respectively represent the weight and bias in SAE 29 – 31 . Initially, the input data undergoes precise mapping by SAE to obtain a concealed representation.…”

Section: Methodsmentioning

confidence: 99%

Physical education teaching mode assisted by artificial intelligence assistant under the guidance of high-order complex network

Song

2024

Sci Rep

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This study explores the integration of artificial intelligence (AI) teaching assistants in sports tennis instruction to enhance the intelligent teaching system. Firstly, the applicability of AI technology to tennis teaching in schools is investigated. The intelligent teaching system comprises an expert system, an image acquisition system, and an intelligent language system. Secondly, employing compressed sensing theory, a framework for learning the large-scale fuzzy cognitive map (FCM) from time series data, termed compressed sensing-FCM (CS-FCM), is devised to address challenges associated with automatic learning methods in the designed AI teaching assistant system. Finally, a high-order FCM-based time series prediction framework is proposed. According to experimental simulations, CS-FCM demonstrates robust convergence and stability, achieving a stable point with a reconstruction error below 0.001 after 15 iterations for FCM with various data lengths and a density of 20%. The proposed intelligent system based on high-order complex networks significantly improves upon the limitations of the current FCM model. The advantages of its teaching assistant system can be effectively leveraged for tennis instruction in sports.

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Section: Methodsmentioning

confidence: 99%

Physical education teaching mode assisted by artificial intelligence assistant under the guidance of high-order complex network

Song

2024

Sci Rep

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“…It is admitted that low-level cognition is supported by distributed mechanisms, but higher-level tasks are generally thought to require strict serial processing. However, behavioral experiments suggest that some high-level tasks partly rely on concurrent processes (Millroth, 2021 ).…”

Section: Critique Of Previous Studymentioning

confidence: 99%

A Schema-Based Robot Controller Complying With the Constraints of Biological Systems

Lagriffoul

2022

Front. Neurorobot.

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This article reports on the early stages of conception of a robotic control system based on Piaget's schemas theory. Beyond some initial experimental results, we question the scientific method used in developmental robotics (DevRob) and argue that it is premature to abstract away the functional architecture of the brain when so little is known about its mechanisms. Instead, we advocate for applying a method similar to the method used in model-based cognitive science, which consists in selecting plausible models using computational and physiological constraints. Previous study on schema-based robotics is analyzed through the critical lens of the proposed method, and a minimal system designed using this method is presented.

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Toward a richer understanding of human cognition: Unleashing the full potential of the concurrent information-processing paradigm

Cited by 2 publications

References 49 publications

Physical education teaching mode assisted by artificial intelligence assistant under the guidance of high-order complex network

Physical education teaching mode assisted by artificial intelligence assistant under the guidance of high-order complex network

A Schema-Based Robot Controller Complying With the Constraints of Biological Systems

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