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Relevance Between Artificial Intelligence and Cognitive Science

Published: 04 December 2020 Publication History

Abstract

With the rise of cognitive science, human is able to extend the subject and combine it with computer science to give birth to artificial intelligence. For example, understanding of brain neurons and synapse helps develop artificial neurons in artificial neural networks. The realization of the potency of human cognition study identifies needs for breakthroughs and this paper will provide reviews of recent breakthrough studies such as The Human Brain Project and CURATE.AI to investigate further potentials in Artificial Intelligence. And by doing so, the paper will focus on language processing and artificial neutral networks, to identify the roles of human cognition and artificial intelligence each plays. The result implies that artificial intelligence and human cognition are interdisciplinary subjects that are interdependent on each other and such sticky state would help achieve each party's own optimal success.

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Cited By

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  • (2024)A Tertiary Study on the Convergence of Human–Computer Interaction and Artificial IntelligenceAI Approaches for Designing and Evaluating Interactive Intelligent Systems10.1007/978-3-031-53957-2_1(1-24)Online publication date: 10-Apr-2024

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ISAIMS '20: Proceedings of the 1st International Symposium on Artificial Intelligence in Medical Sciences
September 2020
313 pages
ISBN:9781450388603
DOI:10.1145/3429889
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 December 2020

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Author Tags

  1. Artificial intelligence
  2. artificial neurons
  3. cognition
  4. deep learning
  5. natural language processing

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ISAIMS 2020

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ISAIMS '20 Paper Acceptance Rate 53 of 112 submissions, 47%;
Overall Acceptance Rate 53 of 112 submissions, 47%

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  • (2024)A Tertiary Study on the Convergence of Human–Computer Interaction and Artificial IntelligenceAI Approaches for Designing and Evaluating Interactive Intelligent Systems10.1007/978-3-031-53957-2_1(1-24)Online publication date: 10-Apr-2024

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